AI & MACHINE LEARNING
TALENT SOLUTIONS
Â
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
Power BI Developer
$60 - $65
+ Advanced Analytics & Marketing Insights
ContractMaryland
To Apply for this Job Click Here
Power BI Developer (Contract – Remote)
An organisation delivering advanced data and AI solutions for large enterprises and public sector clients is seeking a Power BI Developer to join their analytics team on a contract basis.
This role focuses on helping organisations better understand and utilise their data through strong requirements gathering, data modelling, and business intelligence development. You will design and deliver Power BI dashboards and reports, work within modern cloud data platforms, and collaborate with stakeholders to generate actionable insights.
This is a remote contract role running through August 2026, though you should be local to Washington DC.
Responsibilities
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Design and develop Power BI reports and dashboards that provide clear, actionable insights
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Conduct deep-dive analysis using SQL and BI tools to identify trends, patterns, and opportunities
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Build and maintain interactive dashboards, ensuring performance, usability, and consistency
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Support ETL processes and data pipelines within a cloud-based data environment
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Work with data lakes and warehouse environments to understand data ingestion, storage, and transformations
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Develop and maintain ERDs and data dictionaries to document data structures and definitions
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Gather and translate business requirements into effective reporting and analytics solutions
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Support data governance, lineage, and metadata management practices
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Collaborate with stakeholders to understand reporting needs and deliver scalable BI solutions
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Assess and improve existing reporting solutions, including converting legacy reports into Power BI dashboards
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Define and develop metrics to measure operational performance and organisational health
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Maintain data quality and reliability across internal and external data sources
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Present findings and insights clearly to both technical and non-technical stakeholders
Requirements
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Bachelor’s degree or equivalent experience
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5+ years of experience in data and analytics roles within cloud environments
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Advanced Snowflake SQL proficiency
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Advanced Power BI expertise, including data modelling, DAX, and report optimisation
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Experience working within Azure-based data ecosystems
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Experience creating ERDs, data dictionaries, and supporting data governance initiatives
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Strong experience gathering and translating business requirements
To Apply for this Job Click Here
Senior Data Scientist
$180000 - $200000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Senior Data Scientist – Applied Modeling
REMOTE – US
$170,000-$200,000 + Equity
We’re recruiting for a high‑growth AI technology company whose products power audience modeling, bid optimisation, contextual targeting, and measurement for major brands. They are looking for a Senior Data Scientist to own model performance in production, working across both experimentation and real‑world optimisation.
This is a hands‑on applied role, deeply connected to product and engineering teams.
What you’ll be doing
- Building, configuring, and improving models for audience scoring, lookalikes, optimisation & measurement
- Running diagnostics, drift detection, lift analysis, and performance tuning
- Developing pipelines and feature workflows in Python, SQL, and PySpark
- Supporting experimentation frameworks and producing actionable insights
- Collaborating with product, engineering, and client‑facing teams
- Feeding field learnings back into the modeling lifecycle
What they’re looking for
- 5+ years in Data Science / ML
- Strong Python, PySpark, SQL, and ML frameworks (PyTorch/sklearn)
- Experience owning models in production, not just research
- Strong communication and ability to translate model outputs into business decisions
- Experience with NLP or contextual models is a strong plus
Why this role
- Models directly tied to real‑world performance
- High variety across modeling, experimentation, and production ownership
- Opportunity to shape the next generation of applied ML products
- Strong compensation + equity package
HOW TO APPLY
If you want a high‑impact DS role where your models drive real‑world outcomes, we’d love to hear from you.
To Apply for this Job Click Here
Principal Machine Learning Engineer – ML Platform
$200000 - $230000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Principal Machine Learning Engineer – ML Platform
REMOTE – US
$180,000-$230,000 + Equity
We’re partnered with a scaling AI‑driven technology company building large‑scale, production‑grade ML systems used in real‑time decisioning. They’re seeking a Senior Machine Learning Engineer who loves production ML over research, with an emphasis on distributed compute, reliability, and end‑to‑end ownership.
This is a role for someone who enjoys shaping platform architecture while still being hands‑on.
What you’ll be doing
- Designing, training, and deploying high‑scale ML models used in live systems
- Building distributed training pipelines (PyTorch, Ray)
- Owning the ML lifecycle across feature engineering, training, evaluation, inference, monitoring
- Improving ML reliability, observability, and reproducibility
- Working closely with engineering, SRE, and product to shape platform direction
- Contributing to ML architecture standards, CI/CD, and testing frameworks
What they’re looking for
- Strong experience delivering production ML systems end‑to‑end
- Expertise with Python, PyTorch, distributed compute (Ray, Spark)
- Background in large‑scale data processing and MLOps tooling
- Ability to diagnose production issues and drive architectural improvements
- Experience with event‑driven ML and model deployment frameworks is a plus
Why this role
- High ownership of ML platform direction
- Complex, real‑world ML workloads at meaningful scale
- Opportunity to improve and evolve existing infrastructure
- Equity + strong compensation package
HOW TO APPLY
If you’re passionate about building robust, scalable ML systems that drive real business impact, apply now.
To Apply for this Job Click Here
Clinical Data Scientist
San Francisco
$160000 - $190000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
Clinical Data Scientist
San Francisco, California
Remote
$160,000 – $190,000 + Equity
About the Company
This innovative health tech startup is working to improve the oncology drug development process by providing better patient data to drug developers as well as better access to clinical trials for patients. This series B startup is expending to meet demand.
About the Role
As a Clinical Data Scientist, you’ll execute the last leg of the clinical data pipeline by transforming, cleaning, validating, and delivering high‑quality clinical datasets for pharma partners. Heavy collaboration with Clinical Ops, AI Engineering, and Data Delivery.
Role Responsibilities
- Transform raw, abstracted, and AI‑processed data into CDISC SDTM/ADaM datasets
- Program statistical outputs (tables, listings, figures) in SAS/R/Python
- Investigate data anomalies across multiple messy data inputs
- Define data dictionaries and standards before study kickoff
- Handle data in a HIPAA‑aligned manner
Key Requirements
- 2-5 years in clinical data science, stat programming, or clinical data management
- Pharma/Biotech experience
- SAS, R, Python, SQL
- Real‑world clinical data or oncology trials
- CDISC SDTM/ADaM
To Apply for this Job Click Here
AI Engineer
San Francisco
$200000 - $220000
+ Life Science Analytics
PermanentSan Francisco, California
To Apply for this Job Click Here
AI Engineer
San Francisco, California
Remote
$200,000 – $220,000 + Equity
About the Company
This innovative health tech startup is working to improve the oncology drug development process by providing better patient data to drug developers as well as better access to clinical trials for patients. This series B startup is expending to meet demand.
About the Role
As an AI Engineer, you will design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable abstraction and clinical note generation-with repeatable validation, robust documentation, and HITL feedback loops. Heavy emphasis on data engineering and backend rigor to make models usable and efficient.
Role Responsibilities
- Build models and pipelines across EMR/EHR, imaging, clinical reports
- Translate ambiguous clinical requirements into measurable ML objectives
- Define metrics, design experiments, estimate error; review peer work
- Deliver validated AI components for abstraction/note generation; meaningfully reduce manual QA workload via HITL; standardize documentation/testing; establish performant data manipulation patterns (e.g., PySpark, SQL/Postgres) that speed iteration.
Key Requirements
- Python
- Pytorch or Tensorflow
- Data engineering: PySpark, SQL, Postgres, query tuning, data modeling
- Cloud data platforms (e.g., Databricks, S3/Snowflake/Azure/GCP)
- Nice to have experience in oncology/biotech/health tech
To Apply for this Job Click Here
AI Engineer
City of London
£90000 - £100000
+ Data Science & AI
PermanentCity of London, London
To Apply for this Job Click Here
AI Engineer – Crypto Start Up
We are working with a Crypto Start-up company looking to hire a Machine Learning / AI Engineer
Requirements:
- RAG, LLM, GenAI experience
- Strong Data science experience
- Deployment / engineering experience
- Interest in Crypto
To Apply for this Job Click Here
Product Data Analyst
City of London
£70000 - £85000
+ Data Science & AI
PermanentCity of London, London
To Apply for this Job Click Here
Lead Product Analyst – Leicester or London
We are working with a global membership-based company that partner with 1000s of brands to offer discount to eligible workers.
They are seeking a Lead Product Analyst to use insights to drive narratives of user behaviour and highlight key metrics to guide recommendations within the business.
Responsibilities:
- Develop self-service dashboards and data tools to enable rapid insights into product features
- Collaborate with stakeholders to establish metrics to ensure data reliability
- Translate business problems into analytical tasks
- Present findings back to key stakeholders, ensuring a consistent story is told throughout the data
Required:
- 5+ years experience in a Product focused analyst role
- SQL, dbt, Python or R experience
- Lightdash, Looker or Tableau experience
To Apply for this Job Click Here
Head of Data Science
£100000 - £130000
+ Data Science & AI
PermanentEast Midlands
To Apply for this Job Click Here
Head of Data Science
A leading ecommerce organisation is seeking an exceptional Head of Data Science to define and deliver the data vision across a fast‑growing digital environment. This is a high‑impact leadership role focused on converting rich datasets into commercial advantage and world‑class customer experiences.
About the role:
You will lead the development of data architecture, models, analytics and reporting that underpin key digital products and customer journeys. Your work will accelerate performance across areas such as:
- Digital advertising platforms
- Product search and recommendation engines
- Personalisation across web, email, and marketing
- Data‑driven commercial optimisation
Responsibilities:
- Strategic Leadership; owning and driving the data science roadmap
- Lead the design and architecture of agentic models
- Influence decision making across the business
- Partner with senior leaders to set long-term strategy
- Lead & Develop a high-performing data science team
To Apply for this Job Click Here
Data Governance Manager
New Malden
£70000 - £75000
+ Data Engineering
PermanentNew Malden, London
To Apply for this Job Click Here
Data Governance Manager
Hybrid London (1 day/week)
Up to £75,000 + Bonus + Benefits
We’re hiring a Data Governance Manager to help build trusted, well-governed data foundations across a growing, tech-led insurance business. This is a hands-on role shaping how data supports analytics, AI, and decision-making across the organisation.
Why this role?
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Own and deliver a company-wide data governance strategy.
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Work in a modern, cloud-based environment (GCP today – AWS/Azure experience welcome).
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Shape data ownership, quality, lineage, and access control.
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Hire and manage a Data Quality Analyst.
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Hybrid working: 1 day per week in the London office.
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Salary up to £75,000 plus bonus and benefits.
What you’ll do:
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Design and embed scalable data governance frameworks.
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Define data domains, ownership, and stewardship with engineering and business teams.
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Implement standards for data quality, metadata, lineage, and documentation.
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Support compliance, privacy-by-design, and responsible data access.
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Improve data literacy and governance adoption across teams.
What we’re looking for:
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Experience delivering data governance in modern, cloud-based data platforms.
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Strong understanding of metadata-driven governance and analytics/AI data needs.
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Experience with data catalogues, quality, and access control tooling.
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Confident communicator across technical and non-technical stakeholders.
Nice to have:
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Regulated industry experience (insurance/FS).
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Exposure to dbt or modern data tooling.
Cloud note: GCP experience is a bonus, not a requirement – strong AWS or Azure backgrounds are welcome.
To Apply for this Job Click Here
Data Scientist – LLM
Chicago
$120000 - $170000
+ Data Science & AI
PermanentChicago, Illinois
To Apply for this Job Click Here
Data Scientist (LLM)
Location: Chicago
Salary: Up to $170,000 + Benefits
An exciting opportunity has arisen for a Data Scientist to join a global SaaS organization that is transforming decision-making across a critical sector. With thousands of clients worldwide, this company is dedicated to delivering innovative solutions that drive measurable impact and operational efficiency.
The Role
The successful candidate will join a high-performing Analytics & Insights team, responsible for building predictive models and intelligent data pipelines that enable data-driven strategies. This position plays a key role in shaping product development and improving customer outcomes.
Key Responsibilities:
- Develop advanced statistical models and machine learning algorithms for predictive analytics and forecasting.
- Extract, clean, and transform complex datasets using SQL, Python, and modern ETL frameworks.
- Design and implement experiments to validate product impact and optimize outcomes.
- Collaborate with engineers, product managers, and domain experts to translate business challenges into data solutions.
- Implement monitoring and validation tools to ensure data quality and reliability.
What They’re Looking For
- Mid-level experience in data science or machine learning, ideally within SaaS or a data-driven industry.
- Proven track record of building and deploying end-to-end data solutions.
- Strong knowledge of statistical analysis, regression, time-series forecasting, clustering, and experimental design.
- Hands-on experience with SQL, Python (or R), and distributed data technologies (e.g., Spark, Hadoop, Kafka, or cloud platforms like AWS/GCP/Azure).
- Ability to troubleshoot and maintain scalable data workflows.
- A collaborative mindset and passion for using data to drive impact.
To Apply for this Job Click Here
MLOps Engineer
London
£90000 - £110000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
MLOps Engineer
London Based – Hybrid (Three days per week on site)
£90,000 to £110,000 plus bonus
This is an exciting opportunity to join a mission driven cleantech scale up as they continue to grow their data and AI function. You will help shape a modern MLOps environment, working on impactful machine learning deployments that directly support smarter, cleaner energy systems.
The Company
They are a fast growing technology scale up within the energy and electric space. The team is collaborative, customer focused, and driven by a strong product mindset. You would be joining a small, high impact data group with experienced engineers and the opportunity to take real ownership.
The Role
In this MLOps Engineer role, you will contribute to the design, deployment and optimisation of production ML systems.
Responsibilities include:
- Supporting data scientists and AI engineers to build, deploy and monitor ML models in production environments.
- Managing ML lifecycle
- Designing scalable ML pipelines for training, validation and deployment.
- Implementing CI/CD workflows for machine learning and maintaining reliable ML endpoints.
- Working heavily with AWS, including SageMaker, to deliver robust, secure and scalable ML infrastructure.
- Applying strong engineering standards across cloud, DevOps and automation practices.
- Contributing to computer vision and broader ML workloads, with scope to support new AI initiatives as they grow.
Your Skills and Experience
To succeed, you will bring strong commercial experience in:
- Python and applied ML engineering.
- MLOps tooling such as MLflow and modern experiment tracking platforms.
- Deploying models into production, including monitoring, testing and automation.
- AWS, with practical experience using SageMaker.
- Cloud and DevOps foundations including Docker and AWS
- Building scalable data and ML pipelines with solid engineering practices.
- You work well in fast paced environments, communicate clearly, and enjoy collaborating with cross functional teams.
What They Offer
- Competitive salary plus discretionary bonus.
- Hybrid working with three days each week in their London office.
- A high impact role within a growing data and AI team.
- Strong ownership, rapid development opportunities and exposure to modern ML tooling.
- A mission led environment focused on accelerating the transition to clean energy.
How To Apply
Please register your interest by sending your CV to Madison Barlow via the Apply link on this page.
To Apply for this Job Click Here
MLOps Engineer
London
£80000 - £90000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
MLOps Engineer
London Based – Hybrid (Three days per week on site)
£80,000 to £90,000 plus bonus
This is an exciting opportunity to join a mission driven cleantech scale up as they continue to grow their data and AI function. You will help shape a modern MLOps environment, working on impactful machine learning deployments that directly support smarter, cleaner energy systems.
The Company
They are a fast growing technology scale up within the energy and electric space. The team is collaborative, customer focused, and driven by a strong product mindset. You would be joining a small, high impact data group with experienced engineers and the opportunity to take real ownership.
The Role
In this MLOps Engineer role, you will contribute to the design, deployment and optimisation of production ML systems.
Responsibilities include:
- Supporting data scientists and AI engineers to build, deploy and monitor ML models in production environments.
- Managing ML lifecycle
- Designing scalable ML pipelines for training, validation and deployment.
- Implementing CI/CD workflows for machine learning and maintaining reliable ML endpoints.
- Working heavily with AWS, including SageMaker, to deliver robust, secure and scalable ML infrastructure.
- Applying strong engineering standards across cloud, DevOps and automation practices.
- Contributing to computer vision and broader ML workloads, with scope to support new AI initiatives as they grow.
Your Skills and Experience
To succeed, you will bring strong commercial experience in:
- Python and applied ML engineering.
- MLOps tooling such as MLflow and modern experiment tracking platforms.
- Deploying models into production, including monitoring, testing and automation.
- AWS, with practical experience using SageMaker.
- Cloud and DevOps foundations including Docker and AWS
- Building scalable data and ML pipelines with solid engineering practices.
- You work well in fast paced environments, communicate clearly, and enjoy collaborating with cross functional teams.
What They Offer
- Competitive salary plus discretionary bonus.
- Hybrid working with three days each week in their London office.
- A high impact role within a growing data and AI team.
- Strong ownership, rapid development opportunities and exposure to modern ML tooling.
- A mission led environment focused on accelerating the transition to clean energy.
HOW TO APPLY
Please register your interest by sending your CV to Madison Barlow via the Apply link on this page.
To Apply for this Job Click Here
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Industry Hub
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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.
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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 – 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 – 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 – 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
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 – 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 – 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 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.
