AI & MACHINE LEARNING
TALENT SOLUTIONS
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Specialist Focus Areas
At Harnham, we specialize in the following key areas within Artificial Intelligence (AI) and Machine Learning (ML):
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- AI Architecture: Professionals who design and oversee the implementation of AI solutions.
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- AI Engineering: Delivering top-tier AI talent to drive innovation and success for your business.
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- Generative AI Engineering: Supplying expert talent to accelerate innovation and growth in your business.
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- ML Applied Data Science: Skilled machine learning professionals to fuel cutting-edge advancements.
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- Machine Learning Deployment: Data professionals deploying ML models efficiently and effectively in production environments.
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- Machine Learning Engineering: Consutlants with analytical abilities and practical experience developing and implementing machine learning models.
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- ML Ops: Bridging the gap between machine learning development and operational deployment, ensuring scalable, efficient, and reliable machine learning systems.
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- ML Platform Engineering: Developing, managing, and optimizing the platforms that underpin successful ML operations.
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- Natural Language Processing and Large Language Models: Navigate the complexities of Natural Language Processing and Large Language Model roles, ensuring we source candidates who are both highly skilled and a perfect fit for your organization.
WHY
HARNHAM?
Technical Expertise and Deep Industry Knowledge
With over 20 years of experience in the field, our team at Harnham is well-versed in the latest developments in AI and Machine Learning. We stay current with industry trends, technologies, and methodologies, ensuring we can source and place candidates who are proficient in advanced AI techniques such as neural networks, deep learning, reinforcement learning, and natural language processing. Our knowledge extends to various AI frameworks and tools like TensorFlow, PyTorch, Keras, and Scikit-Learn, allowing us to accurately assess technical skills and match candidates to roles that require specialized expertise. Our Data & Artificial Intelligence Recruitment Agency leverages this expertise to connect businesses with top-tier AI talent.
Data-Driven Recruitment Process
Our recruitment process is underpinned by data-driven insights and analytics, which enable us to identify high-potential candidates quickly and efficiently. We use sophisticated AI-driven tools to analyze resumes, predict candidate success, and match the right talent to the right roles. This approach not only speeds up the hiring process but also increases the accuracy of our placements, ensuring a higher success rate for both candidates and clients.
Comprehensive Market Analysis and Talent Mapping
We provide in-depth market analysis and talent mapping services to help you understand the competitive landscape and the availability of key skills in the market. Our detailed reports offer insights into salary benchmarks, skill demand, and talent supply, enabling you to make informed decisions about your recruitment strategies. This comprehensive approach ensures you stay ahead in the competitive AI and ML talent market.
Global Network with Local Expertise
Our global reach allows us to tap into a vast pool of AI and ML talent across multiple regions, while our local market knowledge ensures we understand the specific recruitment dynamics of each area. This dual perspective enables us to deliver tailored recruitment solutions that meet both global standards and local requirements, ensuring a seamless fit for your organization.
OUR
SERVICES
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Permanent Recruitment
We specialize in identifying and securing long-term talent who will become integral members of your AI and ML teams. Our permanent recruitment solutions focus on finding professionals who align with your company’s culture and strategic goals, ensuring they make lasting contributions. As an artificial intelligence recruitment agency, we leverage our deep industry knowledge and technical expertise to match you with candidates who can drive your AI initiatives forward.
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Contract Recruitment
Our contract recruitment services offer the flexibility to scale your workforce according to project demands. We provide access to highly skilled AI and ML professionals for temporary or project-based engagements, allowing you to adapt quickly to changing needs. This approach ensures you have the right talent at the right time, supported by our vast network and extensive market insights.
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Executive Search
We conduct specialized searches for senior and executive-level roles in AI and ML, ensuring your leadership team has the vision and expertise to drive your strategic initiatives. Our executive search services focus on finding leaders who can transform your AI and ML capabilities. With over two decades of experience, our artificial intelligence recruitment agency has the recruitment expertise to identify and engage top-tier professionals for your executive team.
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Customized Talent Consulting
Beyond traditional recruitment, we offer customized talent consulting services to optimize your hiring strategies. Our services include:
- Talent Mapping: Identifying the ML skills and AI expertise available in the market.
- Competitive Analysis: Understanding how your recruitment strategies compare with industry standards.
- Strategic Workforce Planning: Developing a roadmap for future talent acquisition.
- Recruitment Strategy Development: Crafting bespoke strategies to attract and retain top AI and ML talent.
Our comprehensive approach ensures that your recruitment efforts are aligned with your business objectives and market demands.
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Partner with Harnham
Discover how Harnham’s specialized recruitment services can empower your AI and ML projects and enhance your organization’s capabilities. As a leading artificial intelligence recruitment agency, we offer tailored solutions designed to meet your strategic objectives. Contact us today to learn more about how we can support your AI and machine learning recruitment needs.
JOBS
LATEST AI and Machine Learning
JOBS
Data Coach
London
£70000 - £75000
+ Internal
PermanentLondon
To Apply for this Job Click Here
Data Coach
Looking to combine your passion for data with training and mentoring? This is an opportunity to help shape the next generation of data professionals while working across modern technologies including Data Engineering, AI, Cloud, and Analytics.
The Company
They specialise in developing and deploying data talent through a structured training and consulting model. With strong backing and continued growth, they are investing heavily in their learning capability, curriculum development, and technical expertise.
The Role
- Deliver technical training to graduate cohorts
- Create and improve learning content and curriculum
- Mentor and support learners throughout their development
- Run engaging workshops, projects, and technical sessions
- Contribute to training across Data Engineering, Cloud, AI, and Analytics
- Support capability building and continuous improvement initiatives
Your Skills & Experience
- Strong experience in Data Engineering, Data Science, or Analytics
- Experience teaching, coaching, training, or mentoring others
- Python and SQL expertise
- Knowledge of cloud platforms such as AWS, Azure, GCP, or Snowflake
- Understanding of AI, machine learning, or GenAI
- Exposure to DevOps and CI/CD practices
- Excellent communication and presentation skills
To Apply for this Job Click Here
Senior Forward Deployed Engineer
Washington
$200000 - $250000
+ Data Science & AI
PermanentWashington, District of Columbia
To Apply for this Job Click Here
Senior Forward Deployed Engineer
Washington, DC (Hybrid) $200,000 – $250,000 + Bonus + Equity
This is an opportunity to join a high-growth AI organisation solving complex real-world challenges through advanced machine learning and software engineering. You’ll work at the intersection of AI, infrastructure, and product delivery, taking ownership of critical systems that move rapidly from concept to production.
The Company
They are a venture-backed technology business focused on building and deploying next-generation AI solutions. Operating in a fast-paced and highly technical environment, they partner with sophisticated organisations to solve large-scale operational challenges using modern machine learning techniques. Their team is made up of experienced engineers, researchers, and product specialists working on some of the most exciting applications of AI today.
The Role
As a Senior Forward Deployed Engineer, you will lead the design, development, and deployment of production-grade AI systems. You will work closely with stakeholders to understand complex requirements and translate them into scalable, reliable solutions.
Key responsibilities include:
- Designing and deploying AI applications from prototype through to production
- Building LLM-powered products, agentic workflows, and retrieval-augmented systems
- Developing data pipelines, evaluation frameworks, and model improvement processes
- Designing infrastructure to support experimentation, inference, deployment, and monitoring
- Driving architectural decisions across business-critical projects
- Collaborating with technical and non-technical stakeholders to deliver impactful solutions
- Ensuring system reliability, scalability, security, and performance
- Providing technical leadership and mentoring engineers across the team
Your Skills & Experience
- Strong commercial software engineering experience delivering complex production systems
- Advanced Python development skills with a track record of technical ownership
- Experience building and deploying LLM, generative AI, or machine learning applications
- Strong understanding of data engineering, model evaluation, and scalable infrastructure
- Experience working with cloud platforms and distributed systems
- Ability to navigate ambiguity and solve challenging technical problems independently
- Excellent communication skills with the ability to engage a range of stakeholders
- Experience operating within highly regulated or technically demanding environments is advantageous
What They Offer
- Base salary of $200,000 – $250,000
- Performance-related bonus
- Equity participation programme
- Comprehensive healthcare support
- Retirement savings plan with employer contributions
- Generous paid time off
- Flexible hybrid working environment
- Exposure to cutting-edge AI and machine learning technologies
- Significant ownership, autonomy, and career progression opportunities
How to Apply
If you’re interested in building and deploying advanced AI systems at scale, please apply with your CV for a confidential discussion.
To Apply for this Job Click Here
Growth and Product Analytics Lead
London
£100000 - £180000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Growth and Product Analytics Lead
London (Office-based – 5 days per week)
Salary: Up to £180,000 + Excellent Benefits
A high-growth technology business is looking for a Growth Analytics Lead to join, working directly with the CEO and senior leadership team to drive strategic, data-led decision making.
This is a rare opportunity for a commercially minded analytics leader to own the insights behind growth, product and go-to-market strategy. Rather than producing reports or dashboards, you’ll identify opportunities, build solutions, influence business decisions and measure their impact.
What you’ll be doing
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Own analytics across product, commercial and growth initiatives
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Identify opportunities to improve customer activation, adoption and retention
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Deliver insights on pricing, monetisation and expansion opportunities
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Design and analyse product experiments
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Build robust analytics using SQL, dbt and modern data platforms
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Translate complex data into clear recommendations for senior stakeholders
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Partner closely with leadership to shape company strategy
What we’re looking for
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Strong experience in Growth, Product or Commercial Analytics
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Hands-on technical skills with SQL and modern analytics tools
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Proven ability to influence commercial outcomes through data
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Experience within a high-growth SaaS or technology environment
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Excellent communication and stakeholder management skills
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Comfortable working autonomously in a fast-paced, ambiguous environment
What’s on offer
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Salary up to £180,000
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Comprehensive benefits package
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Direct exposure to the CEO and executive leadership
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Significant ownership and autonomy
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Opportunity to shape the growth strategy of a rapidly scaling technology business
If you’re a commercially focused analytics professional who enjoys solving complex business problems and wants to make a measurable impact in a high-growth environment, we’d love to hear from you.
Find out more and apply via the link below!
To Apply for this Job Click Here
Lead Data Engineer
New York
$70 - $80
+ Data Engineering
ContractNew York
To Apply for this Job Click Here
**Please note that we are not accepting candidate submissions from third-party recruiting agencies, staffing firms, or search firms for this opportunity. All candidates must apply directly.
Location: Remote (USA)
Term: 3 Months, extendable
Type: Contract
Hourly Rate: $70-$80/hr (Dependent on Experience)
This is an opportunity to join a growing data and analytics team on a contract assignment focused on building and scaling a modern cloud-based data platform. You will have the chance to shape data architecture, improve platform reliability, and deliver solutions that support analytics and business decision-making across the organization.
The Company
They are an organization investing in the continued growth of their data and analytic capabilities. Their focus is on creating scalable, cloud-native data solutions that improve access to high-quality data and support business performance. You will work within a collaborative environment that values automation, engineering best practices, and continuous improvement. This project offers the opportunity to contribute to a strategically important data platform initiative.
The Role and Deliverables
- Design and develop scalable data pipelines and workflows within a cloud-native environment.
- Build and maintain ingestion frameworks for structured and unstructured data sources.
- Develop data models and datasets to support analytics and reporting requirements.
- Create, optimize, and support ELT/ETL processes using modern data engineering practices.
- Automate orchestration, monitoring, and operational processes to improve platform reliability and efficiency.
- Collaborate with technical and business stakeholders to deliver scalable, high-quality data solutions.
Your Skills & Experience
- Strong experience with Google Cloud Platform, including BigQuery, Cloud Storage, Dataflow, and Cloud Composer or comparable orchestration tools.
- Proven capability building scalable data pipelines and data ingestion frameworks.
- Advanced SQL and Python development skills.
- Strong understanding of data modeling, data warehousing, and analytics concepts.
- Experience designing, implementing, and optimizing ELT/ETL workflows.
- Familiarity with CI/CD practices, infrastructure automation, and software engineering best practices.
- Experience implementing data quality, monitoring, observability, and platform reliability processes.
- Ability to work effectively with both technical and non-technical stakeholders.
- Experience with dbt, Looker, or similar modern data tooling is beneficial.
- Strong problem-solving skills with a focus on ownership, collaboration, and continuous improvement.
To Apply for this Job Click Here
AI Engineer
Amsterdam
€78000 - €78000
+ Data Science & AI
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
AI Engineer
Amsterdam, Netherlands | Up to €78,000 + Benefits
This is an opportunity to join a well-established international organisation investing heavily in AI and machine learning. You’ll play a key role in building production-grade AI products that deliver real business impact, working on solutions that move from concept through to deployment and ongoing optimisation.
The Company
They are a large, global organisation with a strong focus on technology, digital transformation, and data-driven decision-making. With significant investment in AI, they are building scalable products that support both customer-facing and internal business use cases. The environment combines the stability and resources of a mature enterprise with the pace and innovation of a modern product team.
The Role
Design, build, and deploy AI and machine learning products into production
Develop scalable backend services and APIs using Python
Build AI applications leveraging LLMs, agent frameworks, and traditional machine learning techniques
Work closely with data, engineering, and business teams to translate requirements into production-ready solutions
Implement testing, monitoring, and evaluation frameworks to ensure reliability and performance
Support deployment, CI/CD, and operational best practices across the AI product lifecycle
Your Skills & Experience
Minimum 3 years of commercial experience in AI Engineering, Machine Learning Engineering, or a similar role
Strong experience building and deploying AI products into production environments
Hands-on experience with both traditional machine learning and modern AI/LLM technologies
Strong Python engineering skills and experience developing APIs and backend services
Experience working within larger, enterprise-scale organisations and navigating complex stakeholder environments
Exposure to cloud platforms, containerisation, and modern software engineering practices
What They Offer
Salary up to €78,000
Strong bonus and benefits package
Opportunity to work on high-impact AI products used at scale
Career progression within a growing Data & AI function
Collaborative, international team environment
How to Apply
If you’re an AI Engineer with experience delivering production-ready AI and machine learning solutions within larger organisations, apply today to learn more about this opportunity.
To Apply for this Job Click Here
Data Scientist
London
£70000 - £90000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Data Science Engineer
London 2-3 days
Join a newly established R&D function building data-driven and AI-enabled products. This is a hands-on role for someone who enjoys combining Data Science and Data Engineering to create scalable data solutions with real business impact.
The Company
They are investing heavily in data and AI, with a small multidisciplinary team focused on building analytical products from concept through to production. You’ll work in a collaborative environment with plenty of ownership and exposure to cutting-edge technologies.
The Role
- Build scalable data pipelines using Microsoft Fabric and Databricks
- Develop machine learning solutions across forecasting, anomaly detection, recommendation systems, and information extraction
- Work with structured, semi-structured, and document-heavy datasets
- Create reusable data assets and analytical products
- Contribute to testing, APIs, CI/CD, and production deployments
- Partner with stakeholders to solve business challenges through data
Your Skills & Experience
- Strong experience across both Data Science and Data Engineering
- Hands-on expertise with Microsoft Fabric and Databricks
- Advanced Python and SQL skills, with PySpark desirable
- Experience building data pipelines and machine learning models
- Knowledge of NLP, entity resolution, or document processing is advantageous
- Strong communication skills and commercial awareness
To Apply for this Job Click Here
Data Engineer
London
£400 - £420
+ Data Engineering
ContractLondon
To Apply for this Job Click Here
*** Data Engineer ***
I’m partnered with a leading organisation that’s looking for an experienced Data Engineer to join their Data Platform team on an initial 6-month contract, working across a major GCP data platform programme.
Rate: £400-420 per day, Inside IR35
Location: London – Hybrid, 3 days per week onsite
Duration: 6 months
The role will focus on GCP, BigQuery, Python, Airflow/Cloud Composer, dbt, Terraform and CI/CD, working closely with architects, engineers, product and governance teams to deliver secure, scalable data solutions.
Key experience:
- GCP & BigQuery
- Python, Airflow & dbt
- Terraform & CI/CD
- Data platforms / lakehouse environments
- Kubernetes
- AWS alongside GCP
- Strong stakeholder management
If this sounds relevant to you, please drop me a message or send your CV
Thanks,
Callum
To Apply for this Job Click Here
ML Engineer
New York
$170000 - $250000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
ML Engineer
New York City or Remote. $200,000 to $240,000 base plus equity and benefits.
This is a rare opportunity to join a very early stage AI startup and take full ownership of building a critical machine learning system from the ground up. You will design and deliver the core training and remediation loop that ensures AI systems behave safely and reliably in production, giving you genuine 0 to 1 engineering scope with immediate impact.
The Company
They are an early stage AI business focused on improving the safety and reliability of AI systems in production environments. Their platform continuously tests AI applications, detects unsafe or unintended behaviour, and deploys targeted fixes. Operating at the intersection of machine learning, security, and infrastructure, they are tackling a rapidly growing challenge as organisations scale their use of AI. With a small, highly technical team, they offer close collaboration with leadership and significant ownership from day one.
The Role
- Build and own end to end training and remediation pipelines for AI systems, from signal detection through to deployment and monitoring
- Develop reinforcement learning and preference optimisation workflows, including approaches such as DPO and RLHF
- Translate behavioural issues into structured training data and deploy effective model improvements
- Create scalable evaluation and testing systems to ensure fixes perform reliably in production
- Work across multiple models and deployments, turning one off fixes into reusable tooling
- Improve system performance, reliability, and efficiency as the product evolves
Your Skills & Experience
- Strong commercial experience in machine learning engineering, with deep expertise in Python and PyTorch
- Proven ability to train, fine tune, and deploy models in production environments
- Hands on experience with reinforcement learning or preference optimisation techniques such as DPO, RLHF, or PPO
- Strong understanding of end to end ML pipelines, from data preparation through to monitoring
- High standards for code quality, architecture, and readability
- Comfortable operating in an early stage environment with ambiguity and ownership
- Experience designing evaluation systems or working on AI safety, trust, or security is beneficial
What They Offer
- Base salary between $200,000 and $240,000, with flexibility for the right candidate
- Meaningful early stage equity package
- Comprehensive benefits including healthcare, retirement, and generous holiday allowance
- The opportunity to build a core platform from scratch and shape technical direction
- Close collaboration with founders and engineering leadership
How to Apply
To find out more or apply for this ML Engineer role, please get in touch with your updated CV.
To Apply for this Job Click Here
Generative AI Support Specialist
New York
$70 - $75
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
Generative AI Support Specialist
New York City, NY | 3 days onsite
This is a unique opportunity to join an enterprise organization at a pivotal stage in its AI journey. As Generative AI Support Specialist, you will act as the technical expert for enterprise AI platforms, helping users unlock value from advanced AI capabilities while supporting the evolution from chatbot usage to sophisticated multi-agent workflows, automation, and business integrations.
The Company
They are a well-established organization investing heavily in Generative AI adoption across the business. With a growing user base and increasing demand for advanced AI capabilities, they are looking for a technically strong specialist to support users, drive best practices, and help shape the future of AI-enabled ways of working. You will work closely with both technical and business stakeholders to maximize the impact of enterprise AI tools.
The Role and Deliverables
- Serve as the primary escalation point for complex ChatGPT and AI platform support requests.
- Coach users on prompt engineering, model selection, AI workflows, custom GPTs, integrations, connectors, and emerging AI capabilities.
- Administer and support the enterprise AI environment, including workspace configuration, user management, analytics, and troubleshooting.
- Partner with business teams to understand requirements and recommend practical AI-enabled solutions.
- Develop playbooks, documentation, adoption materials, feature guides, and governance-related content.
- Analyse recurring issues, identify improvement opportunities, and help drive greater AI adoption across the organization.
Your Skills & Experience
- Strong hands-on experience with Generative AI platforms such as ChatGPT Enterprise or Claude.
- Demonstrated capability in prompt engineering and designing advanced AI workflows.
- Technical foundation in Data Science, Machine Learning, Analytics, or a related discipline.
- Comfortable working with Python, Markdown, APIs, automation tools, or technical integrations.
- Strong troubleshooting and problem-solving skills with a methodical approach to diagnosing issues.
- Ability to translate business challenges into practical AI solutions.
- Excellent communication and stakeholder management skills, with a customer-focused mindset.
- Comfortable working independently, managing multiple priorities, and operating in a fast-moving environment.
- Experience supporting enterprise SaaS platforms or AI products is highly beneficial.
- Familiarity with emerging areas such as AI agents, workflow orchestration, and enterprise AI governance is advantageous.
To Apply for this Job Click Here
QA Engineer
London
£70000 - £75000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
QA Automation Engineer
UP TO £75,000
London/Hybrid
The Overview
This is an opportunity to join a growing technology business where quality engineering is a key part of product development. You’ll play a central role in building scalable test automation, reducing manual testing, and helping shape an AI-enabled approach to software quality within a modern engineering environment.
The Company
They are a fast-growing technology business developing a sophisticated digital platform that helps users make more informed financial decisions. Their engineering teams work in cross-functional squads, combining product, engineering, and quality expertise to deliver high-impact solutions. With a strong focus on innovation, they are investing heavily in automation, AI-enabled workflows, and engineering best practices.
The Role
You will be responsible for driving test automation across web applications, APIs, and backend services while helping improve the overall quality engineering strategy.
Responsibilities include:
- Designing, building, and maintaining automated testing frameworks
- Creating automated tests for web applications and API services
- Supporting quality assurance across frontend and backend systems
- Performing regression, functional, and smoke testing
- Collaborating closely with Product Managers, Developers, and QA colleagues to ensure solutions are testable and scalable
- Using AI tools to improve testing efficiency, accelerate development cycles, and reduce repetitive manual work
- Contributing to CI/CD processes and quality gates within the software delivery lifecycle
- Supporting the development of a robust automation architecture that can scale with platform growth
- Helping improve data quality validation and testing processes
Your Skills & Experience
- Strong commercial experience with Java or Kotlin
- Experience building automated testing solutions from scratch or significantly enhancing existing frameworks
- Strong API testing experience using tools such as Rest Assured, Postman, or similar
- Experience testing JSON and XML payloads
- UI automation experience with Selenium, Playwright, or comparable tools
- Understanding of software testing principles, automation frameworks, and quality engineering best practices
- Experience working with Jira and Agile delivery environments
- Knowledge of CI/CD pipelines and automated deployment processes
- Comfortable working across both frontend and backend systems
- Experience using AI tools within an engineering workflow
- Exposure to Claude and N8N is highly desirable
- Familiarity with SQL and data validation techniques
What They Offer
- Competitive salary
- Potential equity review following successful completion of probation
- 25 days annual leave with the option to carry over up to 5 days
- Hybrid working
- Work-from-home equipment provided on request
- Enhanced parental leave policies
- Study support and dedicated time for learning
- Salary sacrifice pension scheme
- Electric car scheme
- Cycle to Work scheme
- Workplace nursery scheme
- Gym benefit
- Mental health and wellbeing support
- Regular seasonal and team social events
- Opportunity to influence automation strategy and AI-enabled quality engineering practices
- Clear scope for professional growth within a scaling technology business
How to Apply
If you’re passionate about automation, modern QA practices, and AI-driven engineering, I’d love to hear from you. Apply with your latest CV to be considered.
To Apply for this Job Click Here
QA Automation Engineer
London
£75000 - £75000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
QA Automation Engineer
London (Hybrid, 2 days per week) | £75,000 + Benefits
Looking for a QA role where automation and AI are at the heart of engineering? This is an opportunity to join a growing technology business building a sophisticated data platform, where you’ll help shape the future of quality engineering and create scalable automation from the ground up.
The Company
A fast-growing technology business developing a data-driven platform that helps users gain a clearer view of complex financial information. Working in Agile squads, they are investing heavily in automation, AI-assisted development, and modern engineering practices as they continue to scale.
The Role
You will be responsible for driving automated testing across a web platform and backend services, helping ensure quality, reliability, and performance while reducing manual testing.
- Key responsibilities include:
- Building and maintaining automated test frameworks
- Creating UI and API test coverage across frontend and backend systems
- Supporting regression testing for platform enhancements and integrations
- Ensuring data accuracy and quality across complex systems
- Leveraging AI tools to accelerate testing, debugging, and test creation
- Contributing to CI/CD processes and quality best practices
- Collaborating closely with product and engineering teams
Your Skills & Experience
- Strong commercial experience with Java or Kotlin
- Experience with API testing using tools such as Rest Assured or Postman
- UI automation experience using Selenium, Playwright, or similar
- Strong understanding of JSON, XML, APIs, and backend testing
- Experience building automation frameworks and strategies
- Familiarity with Jira and CI/CD environments
- Active use of AI tools within your engineering workflow, including Claude and N8N
- Passion for reducing manual effort through automation
What They Offer
- Salary up to £75,000
- Hybrid working with 2 days per week in the London office
- Private healthcare
- Pension contribution
- 25 days holiday
- Wellbeing support and regular team socials
- Opportunity to influence automation strategy and AI adoption
- Applicants must have full UK working rights. Sponsorship is not available.
How to Apply
To find out more about this QA Automation Engineer opportunity, apply today.
To Apply for this Job Click Here
Director of Data Science
USA
$240000 - $300000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Director of Data Science
New York (Hybrid) – $240,000 – $300,000 + Bonus + Benefits
This is an opportunity to shape the future of enterprise Data Science within a large-scale, data-rich organisation undergoing significant AI and analytics transformation. You will lead a high-performing team, influence strategic decision-making at the highest level, and drive the development of advanced machine learning and AI solutions that deliver measurable business impact.
The Company
They are a well-established organisation with a strong commitment to innovation, data-driven decision-making, and digital transformation. Operating at enterprise scale, they are investing heavily in AI, machine learning, and advanced analytics to improve outcomes across multiple business functions.
With a collaborative and technology-focused environment, they empower teams to solve complex challenges using modern data capabilities. They offer the opportunity to work on meaningful initiatives with visibility across senior leadership and key stakeholders.
The Role
As Director of Data Science, you will be responsible for defining and delivering the organisation’s data science strategy while leading a team of highly skilled practitioners.
Responsibilities include:
* Develop and execute the enterprise data science roadmap aligned to strategic business priorities.
* Lead teams delivering predictive modelling, machine learning, optimisation, forecasting, experimentation, and AI-driven solutions.
* Partner with Product, Engineering, Data, and business stakeholders to identify high-value opportunities and translate them into scalable solutions.
* Establish best practices for model development, validation, monitoring, governance, and lifecycle management.
* Drive adoption of modern machine learning and AI methodologies while ensuring appropriate risk management and responsible AI principles.
* Oversee experimentation frameworks, performance measurement, and model evaluation approaches.
* Act as a trusted advisor to senior stakeholders, helping shape strategy through data-driven insights.
* Build, mentor, and develop a high-performing Data Science team and culture.
Your Skills & Experience
* Strong commercial experience leading Data Science, Machine Learning, or Advanced Analytics functions.
* Deep expertise in statistical modelling, predictive analytics, machine learning, experimentation, optimisation, and decision science.
* Strong experience developing and scaling production-grade data science solutions.
* Advanced proficiency with Python, SQL, and modern machine learning tools and frameworks.
* Experience working closely with engineering and product teams to operationalise analytical solutions.
* Strong stakeholder management skills with the ability to communicate complex concepts to technical and non-technical audiences.
* Experience building team capability, coaching talent, and driving delivery within a fast-paced environment.
* Understanding of AI governance, model monitoring, and responsible AI frameworks.
What They Offer
* Salary of $240,000 – $300,000 depending on experience.
* Performance-related bonus.
* Comprehensive healthcare and benefits package.
* Hybrid working environment.
* Opportunity to lead enterprise-scale AI and Data Science initiatives.
* Significant visibility with senior leadership and executive stakeholders.
* Clear scope for long-term career progression and organisational impact.
How to Apply
If you are an experienced Data Science leader looking to drive large-scale AI and analytics transformation, please apply today to learn more about this opportunity.
To Apply for this Job Click Here
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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.
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
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
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
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 – 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
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
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
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.
