ML DEPLOYMENT
TALENT SOLUTIONS
Our recruitment expertise is specifically tailored for Machine Learning Deployment jobs, recognizing the critical importance of these positions in the successful operationalization of machine learning models. We focus on sourcing professionals who are skilled in navigating the complexities of deploying ML models efficiently and effectively in production environments.
Leveraging our global presence, Harnham has access to a diverse and extensive machine learning and data talent pool, enabling us to find data candidates with the specific skill sets required for Machine learning Deployment jobs. Our local market insights across key regions ensure that we provide candidates who not only meet the technical qualifications but also align with your company’s cultural and operational dynamics.
WHY
HARNHAM?
Our deep-rooted experience in data recruitment positions us as the go-to authority in sourcing talent for ML Deployment roles, ensuring we connect you with candidates capable of transforming your machine learning initiatives into successful, scalable solutions.
We prioritize a deep understanding of your organization’s unique ML Deployment needs, enabling us to deliver precisely matched talent solutions, aligned with your specific technical and strategic requirements.
Harnham’s team of hundreds of recruitment specialists across key global locations brings unparalleled staffing solutions, tailored to the specific needs of your organization, irrespective of the industry.
OUR
SERVICES
- Permanent Recruitment: We identify long-term talent for your ML Deployment team, focusing on professionals who can integrate and grow with your organizational goals.
Â
- Contract Recruitment: Our contract recruitment services provide the agility to meet your immediate ML Deployment needs with highly skilled temporary professionals.
Â
- Customized Talent Consulting: We offer bespoke talent consulting services, including talent mapping, market analysis, and strategic workforce planning, to optimize your recruitment strategy and build a robust ML Deployment team.
Â
Contact us today to discover how our specialized services can help you build a high-performing ML Deployment team and drive your organization's success in the machine learning domain.
JOBS
LATEST mL deployment
JOBS
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Lead Machine Learning Engineer
New York
$200000 - $220000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Lead Machine Learning Engineer
New York City, NY – Hybrid (3 days per week onsite)
$200,000 – $220,000 Base Salary+ Bonus + RSU package available
THE COMPANY
We are partnering with a leading consumer technology and financial services organization that operates at global scale and serves hundreds of millions of users. The business leverages advanced data, machine learning, and real-time decisioning systems to deliver highly personalized customer experiences across a broad portfolio of digital products.
This is an exciting opportunity to join a rapidly expanding machine learning engineering team at a pivotal stage of growth. The organization is investing heavily in recommendation systems, real-time personalization, machine learning platforms, and next-generation AI capabilities, offering engineers the opportunity to work with large-scale distributed systems and production-grade ML infrastructure.
RESPONSIBILITIES
- Design, build, and maintain scalable infrastructure supporting machine learning training, deployment, and inference workloads.
- Develop and optimize backend services, microservices, and cloud-native applications that power real-time machine learning systems.
- Own and enhance ML platform capabilities across cloud infrastructure, model serving, monitoring, and operational tooling.
- Partner closely with Data Scientists to productionize machine learning models and support real-time recommendation and personalization use cases.
- Improve CI/CD pipelines, infrastructure-as-code frameworks, observability, reliability, and system scalability.
- Participate in operational ownership, incident response, and support for critical production services.
SKILLS AND EXPERIENCE
Must-Have
- 7+ years of software engineering or machine learning engineering experience.
- Strong backend engineering expertise with experience building distributed systems at scale.
- Proven experience developing Scala-based microservices and production-grade backend applications.
- Deep knowledge of AWS cloud services, including machine learning infrastructure and managed platforms.
- Hands-on experience with Kubernetes, Docker, Terraform, and modern CI/CD practices.
- Strong Python programming skills.
- Track record of owning production systems, reliability, monitoring, and operational excellence.
Nice-to-Have
- Experience with machine learning infrastructure, MLOps, or model-serving platforms.
- Knowledge of recommendation systems, personalization engines, or CTR optimization.
- Experience with Datadog observability and monitoring.
- Background in adtech, fintech, e-commerce, or other high-scale consumer platforms.
- Exposure to real-time machine learning applications and online inference systems.
BENEFITS
- Competitive base salary and annual bonus
- Equity participation through RSUs
- Hybrid working model
- Opportunity to work on cutting-edge AI and machine learning initiatives
- Significant career growth and technical leadership opportunities
- Exposure to large-scale, real-time production systems
HOW TO APPLY
Please register your interest by submitting your CV via the Apply link on this page.
KEY TERMS
Lead Machine Learning Engineer | Machine Learning Engineering | ML Infrastructure | Scala | Python | AWS | SageMaker | Kubernetes | Docker | Terraform | CI/CD | Distributed Systems | Recommendation Systems | Real-Time Systems | MLOps | Backend Engineering | Cloud Infrastructure | Platform Engineering | Datadog | Fintech | Personalization | ML Platform | Software Engineering | Hybrid NYC | Technical Leadership
To Apply for this Job Click Here
AI Product Director
San Francisco
$275000 - $300000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
About the Company
Harnham is partnering with an established alternative finance company that has supported small and medium-sized businesses since 2008. The organization provides term loans ranging from $10,000 to $15 million and is known for a fast lending experience, with underwriting decisions and offers available the same day and funding available as soon as the following business day.
The company is transforming traditional small-business lending through AI-powered decisioning. Production AI agents are already operating across credit and underwriting workflows, supported by 18 years of proprietary credit data. With the first phase of the transformation approximately 70 percent complete, the organization is preparing to expand its AI capabilities into Sales, Customer Lifecycle, Finance, and Capital Markets.
The Opportunity
The AI Product Director will lead the next phase of an organization-wide AI transformation. Partnering closely with the Chief Credit Officer and executive leadership, this person will shape product design and roadmapping while translating strategic business priorities into AI products that deliver measurable operational and commercial results.
The Director will manage two AI Product Managers and oversee multiple product pods, with two to three initiatives typically running concurrently. Each initiative begins with understanding how the business operates today, identifying undocumented edge cases and workarounds, and reimagining the process from the ground up around AI.
Success requires a strong combination of product strategy, technical fluency, and hands-on delivery. The ideal candidate has contributed directly to AI solution design, participated in architecture decisions, and taken AI-enabled products from concept through production adoption.
What You Will Do
* Partner with executive leadership to translate business priorities into actionable AI product roadmaps.
* Lead product design and roadmapping across Credit, Sales, Customer Lifecycle, Finance, Capital Markets, and other business functions.
* Manage, coach, and develop two AI Product Managers while establishing consistent standards for discovery, design, documentation, and delivery.
* Oversee two to three concurrent AI product initiatives without compromising quality, stakeholder trust, or delivery outcomes.
* Lead discovery sessions with subject matter experts to map workflows, uncover edge cases, and understand operational workarounds.
* Reimagine business processes from first principles using AI rather than adding automation to existing workflows.
* Create detailed product specifications and design briefs for internal engineering teams and external development partners.
* Contribute directly to AI solution design, architecture discussions, evaluation approaches, and production-readiness decisions.
* Evaluate and select the appropriate engineering partner for each initiative.
* Manage external engineering partners against defined specifications, acceptance criteria, timelines, and quality standards.
* Establish evaluation frameworks using golden datasets, human review, deterministic checks, shadow testing, and other appropriate methods.
* Build compliance, explainability, auditability, and model-governance requirements into product designs before development begins.
* Lead quality control before products reach end users and measure results against clear preimplementation baselines.
* Partner with Data Science, Engineering, Technology, Risk, and functional leadership to support scalable and reliable AI products.
* Build trust with subject matter experts and functional leaders, address resistance thoughtfully, and drive adoption across the organization.
* Communicate product direction, progress, risks, tradeoffs, and measurable outcomes clearly to executive stakeholders.
What You Will Bring
* Eight or more years of product management experience, including leadership of complex AI, machine learning, or technology products.
* A demonstrated record of taking AI-enabled products from initial concept through production deployment and adoption.
* Experience reimagining a business process from the ground up using AI.
* Direct involvement in AI solution design, product architecture discussions, or technical blueprint creation.
* Practitioner-level understanding of generative AI, large language models, agentic patterns, orchestration, evaluation methods, hallucination mitigation, and golden datasets.
* Experience creating detailed product specifications or design briefs for engineering teams.
* Experience selecting, managing, and holding external engineering partners accountable to defined requirements.
* Proven ability to lead multiple concurrent product initiatives while maintaining delivery quality.
* Experience managing and developing Product Managers.
* Strong executive presence with the ability to influence functional leaders, communicate technical tradeoffs, and represent product direction independently.
* Working knowledge of responsible AI, model governance, explainability, and regulated decisioning.
* Familiarity with FCRA, ECOA, Regulation B, Fair Lending, adverse-action requirements, or comparable regulatory frameworks.
* Bachelor’s degree in Business, Computer Science, Engineering, Economics, or a related discipline.
Preferred Qualifications
* Product leadership experience within fintech, lending, payments, credit decisioning, risk technology, or another regulated financial environment.
* Experience working within a growing technology company where product leaders balance strategy with hands-on execution.
* Experience introducing AI products into established business workflows and leading the accompanying organizational change.
* Master’s degree in a relevant discipline.
Compensation and Workplace
The anticipated base salary range for this position is $275,000 to $300,000 per year. The final offer will depend on relevant experience, qualifications, specialized expertise, and other legitimate business considerations.
Additional performance-based cash compensation may be available. Relocation support may also be considered for qualified candidates.
The position requires two to three days onsite each week in the San Francisco Bay Area. The role will operate remotely until the company’s shared Bay Area workspace is finalized.
To Apply for this Job Click Here
Lead Data Scientist
Atlanta
$140000 - $150000
+ Data Science & AI
PermanentAtlanta, Georgia
To Apply for this Job Click Here
Lead Data Scientist
$140,000-$150,000 + 10% bonus
Overview
A growing organisation is seeking an experienced Lead Data Scientist to drive strategic analytics initiatives across customer experience, operational efficiency, asset performance, and cost optimisation. This highly visible role partners closely with senior business leaders to identify challenges, develop data-driven solutions, and influence decision-making through advanced analytics and predictive modelling.
The ideal candidate combines deep technical expertise with strong business acumen, excels at communicating complex concepts to non-technical audiences, and has a proven track record of leading projects from concept through implementation with minimal supervision.
Key Responsibilities
Project Leadership & Stakeholder Management
- Build trusted relationships with senior stakeholders, including director- and executive-level leaders.
- Independently lead projects from problem definition through deployment and performance monitoring.
- Facilitate intake sessions, define project scope, estimate effort, manage priorities, and communicate progress effectively.
- Mentor and guide junior analysts and data scientists on methodology, project structure, and technical execution.
- Present findings and recommendations to leadership teams, including executive audiences.
Advanced Analytics & Data Science
- Develop and deploy predictive models using machine learning techniques such as gradient boosting, ensemble methods, decision trees, and other supervised and unsupervised learning approaches.
- Design segmentation frameworks using clustering and classification techniques.
- Conduct statistical analysis, model validation, back-testing, and performance measurement to ensure reliability and business value.
- Identify patterns, root causes, and opportunities through large-scale data analysis.
- Develop innovative analytical approaches to improve insight generation and operational effectiveness.
- Support business decision-making through forecasting, scoring models, optimisation techniques, and operational analytics.
Data Management & Process Improvement
- Gather, reconcile, clean, validate, and integrate data from multiple internal and external sources.
- Establish data quality standards and controls to improve accuracy and consistency.
- Design and implement processes that reduce risk, improve efficiency, and create measurable business value.
- Monitor and assess the ongoing performance of implemented analytical solutions.
Executive Communication
- Translate complex analytical findings into actionable business recommendations.
- Develop compelling executive presentations and data-driven narratives that influence organisational strategy and operational improvements.
Required Qualifications
- Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Engineering, Economics, Computer Science, or a related discipline.
- 10+ years of experience in data science, advanced analytics, predictive modelling, risk analytics, or a related quantitative function.
- 3+ years of hands-on Python experience building machine learning, forecasting, regression, classification, and segmentation models.
- 3+ years of advanced SQL experience, including optimisation of complex queries across large datasets.
- Strong expertise in statistical methods, probability theory, experimental design, predictive analytics, sampling techniques, and model evaluation.
- Demonstrated experience analysing large structured and unstructured datasets.
- Experience presenting analytical insights to executive audiences and influencing strategic decisions.
- Ability to communicate complex technical concepts to business stakeholders with varying levels of analytical expertise.
- Strong project management, prioritisation, and multitasking skills.
- Proven ability to work independently in a fast-paced, evolving environment.
- Experience sourcing, validating, and integrating data from multiple systems and platforms.
Preferred Qualifications
- Master’s degree in a quantitative discipline.
- Experience in risk management, portfolio analytics, financial modelling, or asset performance analysis.
- Experience using consumer, credit, demographic, or third-party external datasets.
- Prior experience developing scoring models, predictive risk models, or decision-support frameworks.
- Experience within highly regulated industries where model governance, validation, and audit requirements are critical.
- Familiarity with model risk management frameworks and third-party model review processes.
- Experience working with cloud-based data and analytics environments, including object storage and large-scale compute platforms.
- Experience with modern data warehouse technologies.
To Apply for this Job Click Here
Lead Data Scientist
Dallas
$140000 - $150000
+ Data Science & AI
PermanentDallas, Texas
To Apply for this Job Click Here
Lead Data Scientist
$140,000-$150,000 + 10% bonus
Overview
A growing organisation is seeking an experienced Lead Data Scientist to drive strategic analytics initiatives across customer experience, operational efficiency, asset performance, and cost optimisation. This highly visible role partners closely with senior business leaders to identify challenges, develop data-driven solutions, and influence decision-making through advanced analytics and predictive modelling.
The ideal candidate combines deep technical expertise with strong business acumen, excels at communicating complex concepts to non-technical audiences, and has a proven track record of leading projects from concept through implementation with minimal supervision.
Key Responsibilities
Project Leadership & Stakeholder Management
- Build trusted relationships with senior stakeholders, including director- and executive-level leaders.
- Independently lead projects from problem definition through deployment and performance monitoring.
- Facilitate intake sessions, define project scope, estimate effort, manage priorities, and communicate progress effectively.
- Mentor and guide junior analysts and data scientists on methodology, project structure, and technical execution.
- Present findings and recommendations to leadership teams, including executive audiences.
Advanced Analytics & Data Science
- Develop and deploy predictive models using machine learning techniques such as gradient boosting, ensemble methods, decision trees, and other supervised and unsupervised learning approaches.
- Design segmentation frameworks using clustering and classification techniques.
- Conduct statistical analysis, model validation, back-testing, and performance measurement to ensure reliability and business value.
- Identify patterns, root causes, and opportunities through large-scale data analysis.
- Develop innovative analytical approaches to improve insight generation and operational effectiveness.
- Support business decision-making through forecasting, scoring models, optimisation techniques, and operational analytics.
Data Management & Process Improvement
- Gather, reconcile, clean, validate, and integrate data from multiple internal and external sources.
- Establish data quality standards and controls to improve accuracy and consistency.
- Design and implement processes that reduce risk, improve efficiency, and create measurable business value.
- Monitor and assess the ongoing performance of implemented analytical solutions.
Executive Communication
- Translate complex analytical findings into actionable business recommendations.
- Develop compelling executive presentations and data-driven narratives that influence organisational strategy and operational improvements.
Required Qualifications
- Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Engineering, Economics, Computer Science, or a related discipline.
- 10+ years of experience in data science, advanced analytics, predictive modelling, risk analytics, or a related quantitative function.
- 3+ years of hands-on Python experience building machine learning, forecasting, regression, classification, and segmentation models.
- 3+ years of advanced SQL experience, including optimisation of complex queries across large datasets.
- Strong expertise in statistical methods, probability theory, experimental design, predictive analytics, sampling techniques, and model evaluation.
- Demonstrated experience analysing large structured and unstructured datasets.
- Experience presenting analytical insights to executive audiences and influencing strategic decisions.
- Ability to communicate complex technical concepts to business stakeholders with varying levels of analytical expertise.
- Strong project management, prioritisation, and multitasking skills.
- Proven ability to work independently in a fast-paced, evolving environment.
- Experience sourcing, validating, and integrating data from multiple systems and platforms.
Preferred Qualifications
- Master’s degree in a quantitative discipline.
- Experience in risk management, portfolio analytics, financial modelling, or asset performance analysis.
- Experience using consumer, credit, demographic, or third-party external datasets.
- Prior experience developing scoring models, predictive risk models, or decision-support frameworks.
- Experience within highly regulated industries where model governance, validation, and audit requirements are critical.
- Familiarity with model risk management frameworks and third-party model review processes.
- Experience working with cloud-based data and analytics environments, including object storage and large-scale compute platforms.
- Experience with modern data warehouse technologies.
To Apply for this Job Click Here
Lead Data Scientist
Tempe
$140000 - $150000
+ Data Science & AI
PermanentTempe, Arizona
To Apply for this Job Click Here
Lead Data Scientist
$140,000-$150,000 + 10% bonus
Overview
A growing organisation is seeking an experienced Lead Data Scientist to drive strategic analytics initiatives across customer experience, operational efficiency, asset performance, and cost optimisation. This highly visible role partners closely with senior business leaders to identify challenges, develop data-driven solutions, and influence decision-making through advanced analytics and predictive modelling.
The ideal candidate combines deep technical expertise with strong business acumen, excels at communicating complex concepts to non-technical audiences, and has a proven track record of leading projects from concept through implementation with minimal supervision.
Key Responsibilities
Project Leadership & Stakeholder Management
- Build trusted relationships with senior stakeholders, including director- and executive-level leaders.
- Independently lead projects from problem definition through deployment and performance monitoring.
- Facilitate intake sessions, define project scope, estimate effort, manage priorities, and communicate progress effectively.
- Mentor and guide junior analysts and data scientists on methodology, project structure, and technical execution.
- Present findings and recommendations to leadership teams, including executive audiences.
Advanced Analytics & Data Science
- Develop and deploy predictive models using machine learning techniques such as gradient boosting, ensemble methods, decision trees, and other supervised and unsupervised learning approaches.
- Design segmentation frameworks using clustering and classification techniques.
- Conduct statistical analysis, model validation, back-testing, and performance measurement to ensure reliability and business value.
- Identify patterns, root causes, and opportunities through large-scale data analysis.
- Develop innovative analytical approaches to improve insight generation and operational effectiveness.
- Support business decision-making through forecasting, scoring models, optimisation techniques, and operational analytics.
Data Management & Process Improvement
- Gather, reconcile, clean, validate, and integrate data from multiple internal and external sources.
- Establish data quality standards and controls to improve accuracy and consistency.
- Design and implement processes that reduce risk, improve efficiency, and create measurable business value.
- Monitor and assess the ongoing performance of implemented analytical solutions.
Executive Communication
- Translate complex analytical findings into actionable business recommendations.
- Develop compelling executive presentations and data-driven narratives that influence organisational strategy and operational improvements.
Required Qualifications
- Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Engineering, Economics, Computer Science, or a related discipline.
- 10+ years of experience in data science, advanced analytics, predictive modelling, risk analytics, or a related quantitative function.
- 3+ years of hands-on Python experience building machine learning, forecasting, regression, classification, and segmentation models.
- 3+ years of advanced SQL experience, including optimisation of complex queries across large datasets.
- Strong expertise in statistical methods, probability theory, experimental design, predictive analytics, sampling techniques, and model evaluation.
- Demonstrated experience analysing large structured and unstructured datasets.
- Experience presenting analytical insights to executive audiences and influencing strategic decisions.
- Ability to communicate complex technical concepts to business stakeholders with varying levels of analytical expertise.
- Strong project management, prioritisation, and multitasking skills.
- Proven ability to work independently in a fast-paced, evolving environment.
- Experience sourcing, validating, and integrating data from multiple systems and platforms.
Preferred Qualifications
- Master’s degree in a quantitative discipline.
- Experience in risk management, portfolio analytics, financial modelling, or asset performance analysis.
- Experience using consumer, credit, demographic, or third-party external datasets.
- Prior experience developing scoring models, predictive risk models, or decision-support frameworks.
- Experience within highly regulated industries where model governance, validation, and audit requirements are critical.
- Familiarity with model risk management frameworks and third-party model review processes.
- Experience working with cloud-based data and analytics environments, including object storage and large-scale compute platforms.
- Experience with modern data warehouse technologies.
To Apply for this Job Click Here
Data Scientist
Knowsley,
£40000 - £50000
+ Data Science & AI
PermanentKnowsley, Merseyside
To Apply for this Job Click Here
Data Scientist
Knowsley – 3 days a week
The Company
They are a well established UK retail business undergoing a broader data and AI transformation. The organisation is investing in building a modern Data Science capability to support decision making across commercial and customer functions. Their culture is practical, collaborative and delivery focused, with an emphasis on creating value quickly rather than over engineering solutions. Data is increasingly central to their strategy, particularly with the launch of a new customer loyalty programme.
The Role
You will work closely with the Data Science Lead and a small but growing team to develop and productionise machine learning solutions.
- Build and deploy models that support customer and commercial decision making
- Work on use cases such as customer segmentation, lifetime value modelling and demand forecasting
- Contribute to the development of a scalable Data Science platform
- Collaborate with data engineers, analysts and business stakeholders
- Translate business problems into data science solutions and clearly communicate outputs
- Support the expansion of existing models into broader production use
Your Skills and Experience
- Strong commercial experience in Data Science using Python
- Solid SQL skills and experience working with large datasets
- End to end experience delivering Data Science solutions from problem definition through to deployment
- Experience building and validating machine learning models
- Ability to communicate insights clearly to non technical audiences
- A practical, business focused approach to problem solving
What They Offer
- Hybrid working with three days per week in Knowsley
- Opportunity to shape and influence a growing Data Science function
- Exposure to end to end project work with real business impact
- A collaborative environment focused on learning and delivery
How to Apply
Apply now to learn more about this Data Scientist opportunity and the impact you can make within a growing data driven environment.
To Apply for this Job Click Here
Senior NLP Engineer
London
£90000 - £120000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior NLP Engineer
UK remote
The Company
They are a fast-growing technology business specialising in AI-driven analysis of communication data. Their platform is designed for high-volume, real-time environments where accuracy and scalability are critical. The organisation works at the intersection of AI, data, and compliance, with strong investment in innovation and product development. You will join a collaborative, distributed team with regular opportunities to connect in person across global locations.
The Role
- Own end-to-end delivery of NLP and AI features, from data ingestion through to deployment and optimisation
- Build pipelines to process and analyse multimodal data including audio, video, text, and images
- Develop capabilities across transcription, classification, and modelling at production scale
- Design systems for analysing, supervising, and archiving large volumes of communication data
- Work closely with product and cross-functional teams to define requirements and deliver impactful solutions
- Contribute to communication and knowledge sharing across engineering and business teams
Your Skills and Experience
- Strong commercial experience in NLP and machine learning, with models deployed into production
- Experience working with LLMs and/or multimodal AI systems
- Solid understanding of data pipelines, ingestion, and preprocessing for unstructured data
- Proficiency in building scalable systems that handle high-volume data workloads
- Strong software engineering fundamentals and experience in collaborative development environments
- Ability to translate complex technical work into clear business outcomes
What They Offer
- Competitive salary
- Fully remote working within the UK
- Regular team meetups, including annual global gatherings and European events
- Opportunity to work on complex, high-impact AI challenges
- Clear progression within a growing AI and engineering function
- Inclusive and collaborative culture that values diverse perspectives
How to Apply
Apply with your CV to find out more about this opportunity.
To Apply for this Job Click Here
Lead Data Scientist
London
£85000 - £95000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Lead Data Scientist
London – 4x a week
The Company
They are a fast-growing technology organisation that helps businesses unlock value from complex data through advanced analytics, machine learning, and AI-driven decision-making. Their products support a range of commercial use cases, with a strong focus on delivering measurable business outcomes. As they continue to scale, they are investing heavily in their Data & AI capabilities.
The Role
- Lead, mentor, and develop a team of Data Scientists while defining best practices across the function
- Design and deploy machine learning models across forecasting, customer segmentation, and propensity modelling
- Own end-to-end model development including feature engineering, validation, deployment, and monitoring
- Partner with Engineering and Product teams to build scalable, production-ready data science solutions
- Translate analytical outputs into clear commercial recommendations for senior stakeholders
- Drive the adoption of AI tooling and robust model governance across the data science lifecycle
Your Skills & Experience
- Strong commercial experience in Data Science, Machine Learning, or Applied AI
- Experience leading and developing Data Science teams
- Advanced Python and SQL skills
- Expertise in supervised and unsupervised machine learning techniques
- Experience deploying models into production environments using MLOps practices
- Strong communication skills with the ability to influence technical and non-technical stakeholders
What They Offer
- Performance-related bonus
- Private healthcare and additional benefits package
- Opportunity to shape and scale a Data Science function
- Exposure to cutting-edge AI and machine learning projects
- Clear career progression in a high-growth environment
How to Apply
If you’re looking for a Lead Data Scientist opportunity that combines leadership, technical depth, and business impact, please apply today through Harnham.
To Apply for this Job Click Here
Director of GTM Data Science
New York
$200000 - $230000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Our client-a fast-growing, high-impact B2B SaaS platform-is seeking a Director of GTM Data to define and execute the strategic vision, technical standards, and operating model for their Go-To-Market analytical and data science capabilities.
About the Role
Reporting directly to the VP of Data, you will lead a talented team of data scientists and analysts, serving as a strategic thought partner to executive leaders across Marketing, Sales, Customer Success, RevOps, and Finance.
Responsibilities
Strategic Leadership & Roadmap Ownership
- Executive Partnership: Collaborate directly with Sales, Marketing, RevOps, and Customer Success executives to align data strategy with core revenue levers.
- Roadmap & Metrics: Own the 12-24 month GTM data strategy and serve as the final decision-maker on enterprise metrics (LTV, CAC, retention, conversion funnels).
- Strategic Boundaries: Translate complex business questions into structured analytical frameworks, setting clear priorities to focus on high-ROI work.
Technical & Modeling Strategy
- Predictive Analytics: Guide the deployment and iteration of models, including Lead Scoring, Customer Lifetime Value (LTV), Marketing Mix Modeling (MMM), Attribution, and Sales Propensity.
- Experimentation & AI: Lead sales/web experimentation strategies (frequentist, Bayesian, causal inference) and drive AI fluency (e.g., AI-assisted coding) across the team.
- Hands-on Technical Coaching: Review Python/SQL code, validate modeling assumptions, and ensure high statistical rigor with a coach-first leadership style.
Team & Organizational Leadership
- Scale & Mentor: Manage, retain, and develop a 5-person team, fostering technical depth and business acumen.
- Drive Transformation: Champion a culture of continuous improvement, navigating complex organizational transformations and building cross-functional trust.
Qualifications
- Experience: 7+ years in applied data science, revenue analytics, or sales/marketing analytics, including 3+ years managing data science/analytics teams.
- Domain Mastery: Deep understanding of B2B SaaS/subscription business models, sales funnel dynamics, and RevOps tech stacks.
- Technical Depth: Proficient in reading/evaluating Python and advanced SQL, with deep grounding in ML modeling, causal inference, and A/B testing.
- Modern Stack Exposure: Experience with modern data stack tools (e.g., Snowflake, dbt, Airflow, Databricks) is a strong plus.
- Executive Presence: Exceptional communication skills with the ability to influence C-suite/VP stakeholders and build strong collaborative relationships.
Required Skills
- 7+ years in GTM Data/Analytics
- 3+ years in direct people management
Preferred Skills
- Experience with modern data stack tools (e.g., Snowflake, dbt, Airflow, Databricks)
Pay range and compensation package
$200,000 – $230,000
Comprehensive Benefits: Competitive salary, health benefits, paid life & disability, 20+ PTO days, 401(k), and FSA options.
To Apply for this Job Click Here
Senior ML Engineer
Boston
$160000 - $190000
+ Data Science & AI
PermanentBoston, Massachusetts
To Apply for this Job Click Here
Senior Machine Learning Engineer
Remote (US) | Up to $190,000 Base + Benefits
A rapidly growing healthcare technology company is hiring multiple Senior Machine Learning Engineer to help build and scale machine learning products that directly improve patient access to clinical research and healthcare innovation.
This is a highly visible opportunity for someone who wants to own machine learning models from development through deployment and monitoring while partnering closely with Product, Engineering, and business stakeholders. The team is investing heavily in data science as a core strategic function and is looking for individuals who enjoy solving complex real-world problems through predictive modeling and statistical rigor.
What You’ll Be Working On
- Building predictive models that influence healthcare decision-making
- Developing patient matching and recommendation systems
- Forecasting enrollment and engagement outcomes
- Designing and evaluating machine learning experiments
- Monitoring and improving production model performance
- Partnering with engineering teams to productionize solutions
- Influencing product strategy through data-driven insights
What We’re Looking For
- 5+ years of ML experience
- Strong Python and SQL skills
- Experience building and deploying predictive models
- Statistical modeling expertise
- Machine learning production experience
- Strong experimentation and analytical thinking skills
- Ability to communicate complex findings to non-technical stakeholders
Preferred Experience
- Healthcare, life sciences, pharma, insurance, or other regulated industries
- Forecasting, Bayesian methods, or advanced statistical modeling
- Experience monitoring and improving production models
- Startup or high-growth environment experience
Why This Role?
- Fully remote opportunity
- Up to $190,000 base salary
- Meaningful healthcare impact
- Strong leadership visibility
- Opportunity to influence product direction
- End-to-end ownership of machine learning initiatives
- Join a business that has proven product-market fit and is investing heavily in growth
If you’re a Machne Learning Engineer who enjoys building models that make it into production and drive measurable business outcomes, we’d love to hear from you.
Apply today or reach out directly for a confidential discussion.
To Apply for this Job Click Here
Director of AI
Philadelphia
$200000 - $240000
+ Data Science & AI
PermanentPhiladelphia, Pennsylvania
To Apply for this Job Click Here
Manager of AI
Philadelphia
On-site
$235K + up to 12% bonus
The Company:
The business is growing rapidly and has made AI a core strategic priority, with significant investment already underway. This is a rare opportunity to build something genuinely new inside a well-resourced, technically sophisticated organisation.
The Role:
- Define and drive the company-wide AI strategy, identifying high-impact use cases across manufacturing, supply chain, sales, and customer service
- Build and lead a new Agentic AI team from the ground up, including hiring, onboarding, and establishing best practices
- Act as an AI evangelist across the business, partnering with senior leaders including the COO and CFO to embed AI into core processes
- Own the full lifecycle of AI projects from proof of concept through to production deployment and ongoing monitoring
- Develop and deliver a GenAI training programme to upskill colleagues across the organisation
The Profile:
- 5+ years of experience in AI, Data Science, or Machine Learning, with proven leadership responsibility
- Hands-on experience delivering AI or ML solutions at scale, ideally within a manufacturing, industrial, or engineering environment
- Familiarity with Agentic AI concepts and tools; experience with the Claude ecosystem is highly desirable
- Strong communication skills with the ability to translate complex technical ideas for non-technical executive stakeholders
- A genuine passion for AI and a track record of staying current with emerging technologies and industry developments
Unfortunately, this company is not able to offer visa sponsorship or relocation support at this time.
If you believe your profile matches what we’re looking for, simply apply and attach your most recent CV – I’ll be in touch if it’s a match.
We receive a high volume of interest across all our roles, so unfortunately we’re not able to give individual feedback to everyone. If you haven’t heard back within 15 days, your profile hasn’t been shortlisted on this occasion.
To Apply for this Job Click Here
Staff Finance Data Scientist – Consumption Forecasting
San Francisco
$240000 - $300000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
Staff Data Scientist, Finance – Consumption Forecasting
Location: San Francisco or New York | Hybrid (3 days per week in office)
Salary: $240-300k base + bonus + equity (RSUs)
This is a rare chance to own forecasting infrastructure at the center of a high-growth, consumption-based developer platform, one that powers some of the world’s most dynamic applications and scales with every developer and enterprise building on it.
As a consumption-based business, forecasting usage across compute, bandwidth, edge, and storage isn’t a support function. It’s foundational to how we plan infrastructure, revenue, and long-term strategy. This role exists to lead that work at the highest level.
What you’ll own
This is a senior individual contributor role with organization-wide impact. You’ll define forecasting methodology, build systems that scale with a rapidly growing platform, and sit at the intersection of Finance, Infrastructure, Product, and GTM with direct visibility to executive leadership.
- Own production revenue forecasting end-to-end: model development, backtesting, deployment, monitoring, and iteration from first principles to live system
- Build forecasting systems that account for usage-based pricing dynamics, consumption patterns, and customer lifecycle across the platform, built for how this business actually works, not retrofitted SaaS models
- Design hierarchical forecasting models across account, cohort, segment, and global aggregate levels, covering operational, quarterly, and long-range planning cycles
- Establish backtesting, monitoring, and explainability standards that make forecast accuracy transparent and defensible
- Build scenario simulation frameworks to evaluate pricing changes, packaging adjustments, and product launches
- Partner with Finance on board-level reporting, with Infrastructure Engineering on capacity planning, and with Product and GTM on adoption curves and usage drivers
- Set forecasting best practices across the broader Data organization
What we’re looking for
- 7+ years in data science, quantitative analytics, or applied statistics at senior or staff level
- Deep expertise in time-series forecasting and statistical modelling in a usage-based or SaaS environment
- Proven track record building and productionizing ML systems at scale
- Strong Python and SQL, with experience on large-scale usage and billing datasets
- Familiarity with probabilistic modelling, hierarchical forecasting, and causal inference
- Experience partnering with Finance or executive leadership on planning cycles
- Comfortable operating autonomously in fast-moving, ambiguous environments
Nice to have
- Background in cloud infrastructure, developer tools, or consumption-based revenue models
- Familiarity with modern data stacks: Snowflake, Delta Lake, dbt, Airflow
- Prior technical mentorship or informal leadership experience
To Apply for this Job Click Here
CAN’T FIND THE RIGHT OPPORTUNITY?
GET IN TOUCH
today
If you can’t see what you’re looking for right now, send us your CV anyway – we’re always getting fresh new roles through the door.
Industry Hub
HARNHAM
News & Blog
With over 10 years experience working solely in the Data & AI sector our consultants are able to offer detailed insights into the industry.
Visit our Blogs & News portal or check out our recent posts below.
Why Fintech’s AI Talent Pool Is Smaller Than It Looks
By Luc Simpson-Kent, Business Manager – Harnham The share of US job postings requiring AI skills increased…
The Growing Demand for Commercially Driven Analysts
By Lauren McAlister, Senior Recruitment Consultant – Harnham A big trend we’re seeing in the analytics market…
AI Driven Data – Built in the North and Midlands | How Data Engineers are Using AI to Build Better Data Pipelines
Across organisations, AI is rapidly changing how data-driven teams operate, from how insights are generated to how…
Hiring for Agentic AI in the Netherlands: What We’re Seeing
Recently, we’ve been running a few searches in the Netherlands for people with experience in agentic AI….
AI Driven Data – Built in the North and Midlands | AI in CRO and Experimentation
Across organisations, AI is rapidly changing how data-driven teams operate, from how insights are generated to how…
How Tri-State Insurers Are Using AI to Combat Rising Fraud in 2026
By Conor Larkin, Associate Vice President – Harnham Insurance fraud costs the U.S. industry over $40…
AI in Private Equity: How Talent Strategy Drives Portfolio Value Creation
by Nick Mandella, Director at Harnham. Most PE firms are investing in AI, but returns remain mixed….
How to Choose the Right AI Recruitment Agency in the US
Kyle Arriola, Harnham’s AVP of Data & AI Talent Acquisition, recently spoke with Simon Clarke, CEO of…
Why Dutch-Speaking Data & AI Talent Is So Hard to Hire
by Ross Henderson, Director at Harnham. Why it’s so hard to hire Dutch-speaking Data & AI talent…
Tech in Europe on the decline? The reality of the engineering talent market in the Netherlands tells a different story
by Ross Henderson, Director at Harnham. If you read the news, you’d be forgiven for thinking…
Frequently Asked Questions: Machine Learning Deployment
Testimonials
Client and
candidate
testimonials
A trusted partner of professionals across the globe.
We understand the challenges our customers face and offer the
recruitment solutions needed to drive business success through Data & AI.
Candidate – Chief Data Officer
It was a real treat to work with Harnham. My recruiter consistently went above and beyond to ensure that I navigated through the recruitment process as smooth as possible. I had been in contact with other professional at Harnham in the past and I can attest that the level of professionalism is always top-notch.
Candidate /
Chief Data Officer
Client – Director of Customer Data Science – Apparel
The team at Harnham have been outstanding in helping our company build a market-leading data science team. Harnham’s communication is great, and the recruiter’s take a consultative approach that’s really focused on provided value for both their clients and their candidates. They provide strong candidates that help us fill our roles with high achievers who are also a great fit for our culture.
Client /
Director of Customer Data Science – Apparel
Candidate – Data Analyst
I’ve had a great experience with Harnham. The recruiter provided great advice and ensured that I understood everything, and even followed up with me after I started my new role to see how I was settling in. I would recommend Harnham as a great recruitment company for anyone looking for a role in data and analytics.
Candidate /
Data Analyst
Client – Director of People Operations
We’ve been collaborating with Harnham to recruit some key positions for our company, and they have been incredible partners. They team has been great and efficient. They understood our needs perfectly and provided us very talented candidates. We'll keep collaborating with them in the future. Thank you for your excellent job!
Client /
Director of People Operations
Client – Data Direction – Broadcast Media
I have worked with Harnham for over 2 years now as our main Analytics Recruiter partner and I am very pleased with the overall service and the people we have hired via Harnham. Harnham’s team is very good at understanding our recruitment needs and always come back with relevant and well scanned CVs, which saves me precious time.
Client /
Data Direction – Broadcast Media
Candidate – Market Research Analyst
Thanks to Harnham, I am now in a role that suits me. My recruiter was able to quickly identify the skills I had to offer and match me up with his client. It was a win-win for everyone. I was given great advice throughout the process, and I also appreciated the follow-ups that I received.
Candidate /
Market Research Analyst
Candidate – Digital Media and Analytics
I've recently got a short-term contract role through Harnham, and things couldn't have gone better! My recruiter was incredibly helpful throughout the entire process. They also provided incredible admin support so that I could focus on the actual job in hand, rather than having to spend too much time dealing with these matters.
Candidate /
Digital Media and Analytics
Candidate – Senior Data Engineer
I've been a Senior Data Engineer for about 4-5 years and Harnham is one of the best recruitment agencies I worked with. There was a time when my offer fell through and the recruiter I was working with at Harnham jumped in to the rescue and scheduled interviews for me within a couple of days. Really good agency and some great people.
