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.
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- Contract Recruitment: Our contract recruitment services provide the agility to meet your immediate ML Deployment needs with highly skilled temporary professionals.
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- 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.
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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.
Principal Data Scientist
$180000 - $220000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Principal Data Scientist – GenAI & Personalization – Remote (US) | $190k-$220k + 15% bonus
My client is a large, mission-driven learning technology organization reinventing itself as an AI‑first platform. Generative AI, personalization, and data science are now at the core of how millions of students learn – and they’re hiring a Principal Data Scientist to lead from the front.
This is a true hands-on principal IC role: deep technical ownership, real influence, no line management.
Why this role stands out
- Own and shape a core AI capability – scope built around your strengths
- Work on customer-facing GenAI products used at massive scale
- Strong leadership air cover – minimal meetings, protected focus time
- High-visibility work with real-world impact in education
What you’ll do
- Design and build GenAI systems that translate education standards into structured learning objectives
- Improve AI-driven assessments, content generation, and personalization engines
- Apply rigorous statistics to messy human data – and make it production-ready
- Partner closely with engineering on deployment, testing, and optimization
What they’re looking for
- PhD in Statistics or a highly quantitative field
- Strong generative AI experience (personalization or content generation a big plus)
- Excellent Python and end-to-end ownership – research → production → impact
- Clear communicator who can influence both technical and non-technical teams
- 4-5 years post-PhD industry experience
Bonus points for: MLOps, AWS/Databricks, or education experience (not required)
Logistics
- Fully remote (US-based)
- US Citizen or Green Card only (no sponsorship)
- Core availability: 11am-5pm EST
If you want principal-level ownership, meaningful scale, and the chance to define how GenAI shows up in real learning products – this role is built for that.
To Apply for this Job Click Here
Staff Machine Learning Scientist
San Francisco
$200000 - $260000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
Staff Machine Learning Scientist
Location: SF Bay Area – Hybrid (3 days/week onsite)
Salary: $200-260k base + Equity
A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You’ll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale.
What You’ll Do
- Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement.
- Own the ML development process-from data exploration and feature engineering to model training, deployment, and post-launch optimization.
- Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives.
- Experiment with emerging AI techniques, including GenAI, computer vision, and LLMs, to push the boundaries of what’s possible on the platform.
- Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion.
What You Bring
- 7-10 years of experience building, deploying, and maintaining ML models at scale.
- Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
- Proven track record in consumer tech or large-scale marketplaces companies.
- Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms.
- Background in user behavior modeling, search relevance, or real-time data systems.
- Strong foundation in experimentation (A/B testing), statistics, and applied ML.
- Exceptional communication skills and the ability to translate technical insights into business value.
- Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.
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
AI Engineering Lead
London
£100000 - £150000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
AI Engineering Lead
Remote (UK-based, with occasional travel)
This is a rare opportunity to take ownership of AI strategy and delivery within a fast-scaling, international business. You will shape how artificial intelligence is applied across multiple industries, working directly with senior leadership to turn innovation into measurable commercial impact.
The Role
- Define and deliver the AI strategy across a diverse group of businesses
- Design scalable architecture and build production-ready AI systems
- Identify and prioritise high-impact use cases that drive efficiency and commercial value
- Evaluate and implement tools, platforms, and frameworks for AI deployment
- Work closely with senior stakeholders, including C-level leadership, to align AI initiatives with business goals
- Establish best practices for AI engineering, deployment, and governance
- Support adoption across decentralised teams while enabling local autonomy
- Act as the senior technical lead for AI, shaping future capability and direction
Your Skills & Experience
- Strong commercial experience building and deploying AI-powered applications
- Hands-on expertise with Python and modern AI tooling, including large language models
- Experience designing and implementing scalable technical architectures
- Understanding of prompt design, retrieval-based systems, and orchestration frameworks
- Experience integrating AI solutions into business systems and workflows
- Comfortable working across both technical and non-technical stakeholders
- Ability to operate autonomously in a fast-moving, evolving environment
To Apply for this Job Click Here
Senior Data Scientist
London
£80000 - £90000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Data Scientist
London (Hybrid, 2 days per week)
This is an opportunity to join a high-impact data science function at a business undergoing a major AI transformation. You will play a key role in shaping how advanced machine learning and personalisation are embedded into customer products, driving measurable improvements in engagement, wellbeing, and long-term outcomes. The role offers strong ownership, exposure to senior stakeholders, and the chance to deliver production-grade AI at scale.
The Company
They are a large, well-established organisation operating in a highly data-rich, customer-focused environment. With a strong emphasis on innovation, they are investing heavily in AI and machine learning to enhance their product offering and create more personalised user experiences. Their data science teams operate in a collaborative, cross-functional model, working closely with engineering, product, and business stakeholders. The organisation promotes a culture of continuous improvement, experimentation, and responsible AI adoption.
The Role
- Lead the end-to-end delivery of data science and machine learning solutions, from scoping through to deployment and monitoring
- Design and build production-ready ML systems, including recommender systems, segmentation models, and optimisation solutions
- Translate complex business challenges into scalable, data-driven solutions with measurable impact
- Own technical delivery within a pod structure, guiding and mentoring other data scientists
- Collaborate with data engineering, software engineering, and product teams to deliver robust, scalable platforms
- Drive best practices in model deployment, version control, CI/CD, and performance monitoring
- Engage senior stakeholders to influence decision-making and support broader AI adoption across the business
- Contribute to the development of new AI-driven initiatives, including early-stage generative AI use cases
Your Skills & Experience
- Strong commercial experience in machine learning and data science, including regression and classification techniques
- Advanced Python and SQL skills, with a focus on building and deploying production-ready solutions
- Proven track record of delivering end-to-end data science projects in a business environment
- Experience working in cross-functional teams and collaborating with technical and non-technical stakeholders
- Demonstrated ability to lead projects, mentor others, and operate effectively in ambiguous environments
- Familiarity with modern ML tooling, version control, and deployment practices
- Exposure to cloud environments or generative AI is beneficial but not essential
To Apply for this Job Click Here
Machine Learning Scientist
$219054.6 - $255563.7
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Machine Learning Scientist
USA (Remote)
$180,000 to $210,000 base + bonus + equity
This is an opportunity to join a high-impact Machine Learning team where experimentation, ownership, and real-world impact sit at the core of the role. You will work on systems that directly influence commercial outcomes at scale, with the autonomy to design, test, and deploy solutions that power critical decision-making.
The Company
This organisation operates at the intersection of data, commerce, and risk, building advanced machine learning systems to solve complex transactional challenges. Their platform processes high volumes of real-time decisions, using AI to optimise customer experiences while managing risk. Machine learning is central to their product and growth, not a supporting function, giving teams strong visibility across the business.
They foster a culture that values scientific thinking, creativity, and engineering rigour, with teams structured to own their services end to end.
The Role
You will contribute to the development of production-grade machine learning systems, working across the full lifecycle from experimentation through to deployment.
* Designing and implementing machine learning models that drive real-time decisioning
* Building and optimising scalable ML pipelines to enable rapid experimentation
* Exploring and integrating new ML techniques to improve model accuracy and scalability
* Collaborating closely with Product, Engineering, and Risk teams
* Owning projects end to end, with full accountability for outcomes in production
Your Skills and Experience
* Strong commercial experience building and deploying machine learning models from first principles
* Hands-on experience working in distributed computing environments such as Spark
* Proficiency in Python and SQL for data processing and model development
* Experience designing and running experiments rather than relying on pre-built models or APIs
* Ability to translate business problems into scalable machine learning solutions
What They Offer
* Competitive base salary up to $210,000 depending on experience
* Annual bonus / equity package
* Fully remote working within the USA
* Flexible working and unlimited paid time off
* Generous parental leave and learning and development support
* The opportunity to work on high-scale systems with meaningful business impact
How to Apply
If you are interested in applying your machine learning expertise to real-world challenges at scale, please submit your CV to learn more.
To Apply for this Job Click Here
ML Engineer
London
£450 - £550
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Machine Learning Engineer
Contract
London
Outside IR35
£450-£550 Per Day
Fully Remote
Immediate Start
The Company
They are a data-driven organisation investing heavily in modern data platforms and AI capability. With strong stakeholder engagement across the business, they are focused on embedding machine learning into core products and decision-making processes. Their environment is collaborative, with close alignment between data science, engineering, and product teams. This role offers the chance to contribute to a growing and ambitious data function.
The Role and Deliverables
- Build, deploy, and maintain machine learning models in a production environment
- Collaborate with data scientists to translate models into scalable solutions
- Develop robust data pipelines to support model training and inference
- Optimise model performance and ensure reliability in live systems
- Implement best practices for MLOps, monitoring, and version control
- Work with stakeholders to understand requirements and deliver end-to-end solutions
Your Skills & Experience
- Strong experience in machine learning engineering and model deployment
- Proficiency in Python and experience with relevant ML frameworks
- Experience working with cloud platforms and modern data infrastructure
- Strong understanding of data pipelines, APIs, and scalable systems
- Ability to collaborate effectively with both technical and non-technical stakeholders
- Familiarity with MLOps tools and best practices
How to Apply
If you are interested in delivering impactful machine learning solutions in a collaborative environment, please apply with your CV.
To Apply for this Job Click Here
Director of AI
Los Angeles
$230000 - $400000
+ Data Science & AI
PermanentLos Angeles, California
To Apply for this Job Click Here
Senior AI/ML Engineer – Foundation Models & Agentic AI
Life Sciences AI | Biotech / Therapeutics / Computational Biology
What You’ll Work On
- Develop and train proprietary foundation models on multi-omics data (genomics, transcriptomics, proteomics, metabolomics)
- Design novel algorithms to integrate and differentiate across omics modalities
- Own the full training pipeline: data ingestion, tokenization, pretraining, and evaluation
- Push the state of the art – we are building models that do not exist yet
Agentic AI for Life Sciences
- Build and deploy AI agents that assist researchers across therapeutic development, computational chemistry, and biology
- Design multi-agent architectures using LangChain, LangGraph, and custom orchestration layers
- Integrate agents with internal databases, experimental systems, and third-party scientific tools
- Develop agentic workflows for use cases in cosmetics R&D, drug discovery, and clinical analysis
Production ML Infrastructure
- Own model deployment, scaling, and serving infrastructure
- Optimize inference using NVIDIA TensorRT-LLM, Dynamo, Triton, and related tooling
- Partner with software engineering on integration into our broader platform
- Maintain reliability, performance, and observability across deployed models
What We’re Looking For
Required
- Strong hands-on ML/AI engineering experience – you write real code, not just direct others
- Deep proficiency in Python and PyTorch – this is non-negotiable
- Experience training, fine-tuning, and deploying foundation models from scratch or from pretrained checkpoints
- Familiarity with the Hugging Face ecosystem (Transformers, Datasets, PEFT, Accelerate)
- Experience with LangChain and/or LangGraph for agentic pipeline development
- Working knowledge of the NVIDIA stack: TensorRT-LLM, Triton Inference Server, Dynamo
- Comfort with large-scale distributed training tools: DeepSpeed, xFormers
- Strong understanding of state-of-the-art model architectures (transformers, SSMs, diffusion, etc.)
- Ability to collaborate across technical and non-technical teams – bio, chem, software, clinical
- Excellent communication skills – you can explain a training run to a chemist
Strongly Preferred
- Experience with omics data (any modality: genomic, proteomic, transcriptomic, metabolomic)
- Background in computational biology, computational chemistry, or bioinformatics
- Prior work in biotech, pharma, or life sciences AI (not required but a plus)
- Experience building or contributing to multi-agent systems in a production environment
- Track record of independent research or open-source contributions in ML
Technical Skills Summary
Core ML / Training
- PyTorch – primary framework
- DeepSpeed – distributed training and ZeRO optimization
- xFormers – memory-efficient attention and transformer components
- Hugging Face Transformers, PEFT, Accelerate
- Training and fine-tuning large language and multimodal models
Inference & Deployment
- NVIDIA TensorRT-LLM – high-performance LLM inference
- NVIDIA Dynamo – inference orchestration and scheduling
- Triton Inference Server – model serving and batching
- Model quantization, distillation, and latency optimization
Agentic & Orchestration
- LangChain / LangGraph – agent design and multi-agent orchestration
- Tool-use, RAG pipelines, and memory systems
- API and system integration across scientific data sources
To Apply for this Job Click Here
Lead AI Engineer
London
£100000 - £115000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Lead AI Engineer
London (Hybrid, 1 to 2 days per week)
The Company
They are a leading UK consumer-focused financial services business with a broad product portfolio and millions of customers. Operating at scale, they are investing heavily in AI to enhance customer experience, drive efficiency, and strengthen risk and fraud capabilities. A new generative AI team is being built to sit within a broader AI and MLOps function, moving from contractor-led delivery to a permanent, strategically aligned capability. This is a high-visibility area with strong internal demand and clear executive backing.
The Role
You will lead the design and delivery of AI solutions that directly impact core operations and customer journeys.
- Own end-to-end delivery of AI systems, from problem definition through to production
- Design and deploy LLM and RAG-based solutions, including chat assistants for customer support and contact centre optimisation
- Drive automation across complaints handling, triage, fraud detection, and customer data workflows
- Define architecture and make decisions around build versus buy solutions
- Work closely with engineering, product, and risk teams to ensure compliant and scalable solutions
- Implement robust MLOps practices including monitoring, evaluation, and system reliability
Your Skills & Experience
- Strong commercial experience delivering production-grade AI systems end to end
- Deep expertise in generative AI, including LLMs, RAG, and agent-based systems
- Solid software engineering background with experience in scalable system design and APIs
- Hands-on experience with MLOps, including deployment, monitoring, and lifecycle management
- Proven ability to lead multiple AI initiatives and deliver measurable business outcomes
- Experience working in large, complex organisations with high data volumes
What They Offer
- Competitive pension and benefits package
- Hybrid working with flexibility
- Opportunity to shape a new AI capability within a large organisation
- Clear progression as the AI function scales
How to Apply
If you are interested in leading AI innovation in a high-impact, enterprise environment, apply now to find out more.
To Apply for this Job Click Here
Senior Data Scientist
London
£75000 - £95000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Data Scientist
London (Hybrid, 2 days onsite)
The Company
They are a large, established organisation operating at scale, with a strong focus on using data and AI to drive innovation across their products and services. The business is undergoing a significant AI transformation, with over ten active AI initiatives spanning areas such as automation, personalisation, and internal tooling. Their data science function is at the core of this journey, working closely with product and engineering teams to deliver tangible impact.
The environment is fast-paced and collaborative, with a strong emphasis on building production-ready AI solutions and embedding them into core business processes.
The Role
As a Senior Data Scientist, you will focus on delivering AI solutions that drive automation and efficiency across the organisation. You will take ownership of key projects and work across the full model lifecycle in a production environment.
- Lead the development and deployment of AI and machine learning solutions across multiple business areas
- Own and deliver end to end AI initiatives, from problem definition through to production
- Work on a range of use cases including internal chatbots, LLM applications, summarisation tools, underwriting automation, and AI sales assistants
- Collaborate with product managers and engineers to ensure solutions are scalable and aligned to business needs
- Implement and maintain MLOps best practices, including monitoring and model lifecycle management
- Engage with senior stakeholders, translating technical outputs into clear business value
- Contribute to the ongoing development of AI capability across the team
Your Skills and Experience
- Strong commercial experience in data science with a recent focus on AI and machine learning
- Proven experience building and deploying production-level AI solutions
- Experience working with GCP and modern cloud-based data environments
- Hands-on experience with MLOps, including deployment, monitoring, and scaling models
- Exposure to generative AI techniques such as LLMs and Retrieval Augmented Generation
- Strong stakeholder management and communication skills across technical and non-technical teams
- Experience working in larger, complex organisations with multiple concurrent workstreams
What They Offer
- Competitive pension scheme
- Private healthcare
- Hybrid working with two days per week in their London office
- Opportunity to work on high-impact AI initiatives with real business visibility
- Clear progression within a growing and strategically important team
How to Apply
If you are interested in applying your data science and AI expertise in a high-impact environment, please get in touch to learn more.
To Apply for this Job Click Here
Senior Machine Learning Research Engineer
USA Remote
$273035.1 - $367547.25
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Title: Senior Machine Learning Engineer, Media Generation
Location: Remote
Compensation: Up to $350,000 + Equity
We’re partnered with a well-funded startup at the forefront of media generation and digital identity, building the infrastructure for the next generation of interactive, AI-powered experiences. Their platform enables developers and creators to generate fully customizable characters, digital assets, and AI companions, positioning them at the intersection of generative AI, gaming, and social platforms.
This is a high-impact role within a growing R&D team, focused on building cutting-edge machine learning systems for media generation. You’ll work on models that power character creation, digital fashion, and interactive experiences, helping define how users create and express themselves in digital environments.
What You’ll Do
- Design, train, and deploy ML models for high-quality image, video, and 3D asset generation
- Work across computer vision and graphics to generate meshes, textures, and motion
- Build and optimize generative models such as diffusion, GANs, and transformer-based architectures
- Integrate ML systems into user-facing creative tools and applications
- Collaborate with product, engineering, and creative teams to ship AI-powered features
- Manage ML infrastructure including datasets, experiments, and deployment pipelines
- Stay up to date with emerging research and apply new techniques to production systems
Requirements
- Master’s degree or higher in Computer Science, Machine Learning, Computer Vision, or related field
- 3+ years of experience in machine learning, computer vision, or computer graphics
- Strong Python skills and experience with frameworks such as PyTorch or TensorFlow
- Experience with generative models (diffusion, GANs, VAEs) and modern architectures (Transformers, ViTs, etc.)
- Solid understanding of 3D graphics, computational geometry, or related areas
- Experience working in cross-functional teams and communicating technical concepts clearly
Nice to Have
- Experience with 3D reconstruction, tracking, or geometry analysis
- Familiarity with neural rendering techniques such as NeRF or Gaussian Splatting
- Experience scaling ML models and optimizing training pipelines
- Background in distributed training, data pipelines, and experiment tracking
- Publications or contributions to research or open-source projects
If you’re interested in building next-generation generative AI systems at the intersection of media, gaming, and identity, this is a unique opportunity to help shape a rapidly emerging space.
To Apply for this Job Click Here
Senior ML Engineer
New York
$170000 - $210000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Senior Machine Learning Engineer / ML Scientist
Remote, United States
$160,000 to $210,000 base salary plus bonus and equity
This is an opportunity to join a high-impact machine learning team where your work directly influences real-time decisioning at scale. You will operate with a high level of ownership, designing and deploying models that solve complex problems in a production environment. The role blends scientific experimentation with strong engineering execution, offering the chance to shape both model performance and the systems that support it.
The Company
They are a fast-growing technology business operating at the intersection of machine learning and financial risk within e-commerce. Their platform enables large-scale, real-time decision-making across global transactions, helping customers optimise outcomes while reducing risk exposure.
The Role
* Design, build, and deploy machine learning models that operate in high-scale, real-time environments
* Own the full lifecycle of ML projects from experimentation through to production deployment and monitoring
* Develop advanced modelling approaches, including ensemble methods and performance optimisation techniques
* Build and improve offline evaluation frameworks to ensure robust and reliable model performance
* Work with large-scale distributed systems and datasets using tools such as Python, SQL, and Spark
* Collaborate cross-functionally with engineering, product, and risk teams to translate business challenges into ML solutions
* Contribute to a culture of experimentation, innovation, and continuous improvement within the ML function
Your Skills & Experience
* Strong commercial experience delivering machine learning solutions in production environments
* Deep understanding of machine learning theory, statistical modelling, and evaluation methodologies
* Proven ability to design and run experiments independently, from problem definition through to insight generation
* Experience working with large-scale distributed data processing systems, particularly Spark
* Strong programming skills in Python and SQL
* Experience taking models from research through to scalable deployment
* Academic background in a quantitative field such as Computer Science, Statistics, or similar is valued
* Experience in fraud, payments, or e-commerce is beneficial but not essential
What They Offer
* Competitive base salary between $160,000 and $210,000 depending on level and location
* Annual bonus and equity package
* Unlimited paid time off
* Retirement plan with employer contribution
* Comprehensive healthcare, dental, and vision coverage
* Paid parental leave and wellbeing support
* Learning and development budget
* Flexible remote working with minimal in-person requirements
* Clear progression opportunities within a growing machine learning organisation
To Apply for this Job Click Here
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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 – 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.
Candidate /
Senior Data Engineer
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 – 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.
