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
AI Forward Deployed Engineer – knowledge graphs, LLMs and RAG
England
£90000 - £130000
+ Data Science & AI
PermanentEngland
To Apply for this Job Click Here
AI Forward Deployed Engineer – Knowledge graphs, LLMs and RAG
Remote, UK. £90,000 to £130,000 base salary.
If you enjoy taking advanced AI systems out of the lab and into real-world enterprise environments, this role gives you the chance to do exactly that. You will work directly with highly technical customers, shaping how cutting edge NLP, knowledge graph, and LLM technology is deployed at scale, while still remaining deeply hands-on as an engineer.
The Company
They are a Series A, AI-first TechBio organisation building data science products that support faster and more informed drug discovery. Their platform processes vast volumes of scientific literature and structures it into high value, production-ready datasets used by global pharmaceutical organisations. The business operates fully remotely and brings together expertise across engineering, data science, and biomedical domains.
The Role
- You will lead technical delivery for enterprise customers, owning implementations from initial trials through to production deployments.
- You will work closely with customer engineering and data science teams to understand their environments and design robust AI driven integrations.
- You will design and build solutions using retrieval systems, RAG architectures, agent based workflows, and APIs.
- You will contribute to technical scoping during pre-sales, helping shape feasible and scalable solutions.
- You will identify recurring customer needs and feed these back into the core platform, supporting productisation.
- Alongside customer work, you will contribute directly to internal platform and engineering initiatives.
Your Skills and Experience
- Strong commercial experience deploying NLP or LLM powered systems into production environments.
- Hands-on experience with retrieval augmented generation, vector databases, and retrieval or recommendation systems.
- Practical experience building, debugging, and operating end to end LLM workflows.
- A solid engineering mindset with comfort working across data platforms, APIs, and cloud infrastructure.
- Exposure to graph databases and modern data warehouses is highly beneficial.
- Confidence working in customer facing settings, explaining technical trade-offs and collaborating across technical and commercial stakeholders.
What They Offer
- Base salary between £90,000 and £130,000, depending on experience.
- Fully remote working with flexibility and autonomy.
- The opportunity to work on high impact AI products used by leading enterprise customers.
- Clear scope to influence product direction and grow alongside a scaling, venture backed business.
- Additional benefits and development support within a collaborative, engineering led culture.
How to Apply
Apply to discuss how your experience aligns with this AI Forward Deployed Engineer opportunity and the impact you could make.
To Apply for this Job Click Here
Lead AI Engineer
Pittsburgh
$175000 - $200000
+ Data Science & AI
PermanentPittsburgh, Pennsylvania
To Apply for this Job Click Here
Lead AI Engineer
$200,000
Location: Pittsburgh, PA (Onsite)
THE COMPANY
A high‑growth, mission‑driven technology organisation is expanding its advanced AI function. The team specialises in building intelligent autonomous systems designed to operate across complex workflows and high‑stakes environments. Engineers here work on cutting‑edge agentic technologies with significant ownership and impact.
THE ROLE
As the Lead AI Engineer, you’ll guide a specialised engineering team responsible for designing, building, and deploying next‑generation agentic AI systems. You will lead technical strategy, architecture decisions, and hands‑on development, while also mentoring engineers and driving best‑in‑class standards for performance, reliability, and scalability.
You’ll oversee the development of agents capable of long‑horizon planning, tool‑use, memory, and coordination across multi‑agent environments, ensuring they can operate effectively in real‑world mission‑critical settings.
KEY RESPONSIBILITIES
- Lead the design and development of agentic AI systems from conception through production
- Architect multi‑agent systems with planning, routing, memory, and complex tool‑use
- Build modular “skills” and components that plug into backend systems and data pipelines
- Establish evaluation frameworks, telemetry systems, and observability tools for agent behaviour
- Guide Agile processes, technical planning, and day‑to‑day engineering execution
- Partner with product and delivery teams to solve complex operational challenges
- Provide mentorship and technical leadership to engineers and data scientists
EXPERIENCE REQUIRED
- Several years of experience building and deploying ML or LLM‑powered systems in production
- Experience leading or mentoring engineering teams
- Demonstrated expertise in LLM integration and agentic system development
- Strong Python engineering skills
- Hands‑on experience with cloud infrastructure (AWS preferred)
- Familiarity with LLM algorithms, scaling patterns, and system reliability
- Ability to operate autonomously in high‑pace, ambiguous environments
- Comfortable with Git and modern engineering workflows
DESIRABLE EXPERIENCE
- Experience designing or deploying complex multi‑agent architectures
- Exposure to startup or high‑growth engineering cultures
- Experience with GenAI coding tools or best practices for agentic systems
- Eligibility to work in secure or sensitive environments
THE OFFER
- Ownership over next‑generation agentic AI strategy and architecture
- Opportunity to lead a high‑impact engineering team
- Work with cutting‑edge LLM and agentic technologies
- Fast‑paced environment with strong technical autonomy
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
Machine Learning Engineer, LLM
$180000 - $220000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Machine Learning Engineer, LLM (Applied AI/NLP)
Location: New York (Hybrid)
Compensation: $180K-$220K base + equity + bonus
About the Company
Join a fast-growing AI startup transforming how development teams build and scale modern applications. Their intelligent platform uses LLMs to automate coding tasks, streamline workflows, and boost developer productivity.
The Role
Lead the design and deployment of advanced NLP/LLM solutions that directly impact engineering workflows code generation, documentation, and review automation. Collaborate with senior leadership to take models from research to production.
Key Responsibilities
- Build and fine-tune LLMs for developer-focused use cases
- Optimize models using prompt engineering, RAG, and inference techniques
- Collaborate across teams to align AI capabilities with product goals
- Mentor junior ML engineers and contribute to internal innovation
What You’ll Bring
- 2-8 years in applied NLP/LLM development
- Strong Python and ML stack (PyTorch, HuggingFace, etc.)
- Experience with large code/text datasets and transformer models
- Advanced degree in CS, AI, or NLP (PhD preferred)
- Bonus: Publications in top-tier ML/NLP conferences
Why Join?
- Competitive pay + equity + bonus
- Direct impact on product innovation and IP
- Full benefits: health, vision, dental, 401(k), generous PTO
How to Apply
To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.
To Apply for this Job Click Here
Senior Machine Learning Engineer (VLM)
$200000 - $230000
+ Computer Vision
PermanentUSA
To Apply for this Job Click Here
Senior Machine Learning Engineer
Fully Remote, United States | $200,000 to $230,000 base plus equity and benefits
This is a high impact opportunity to shape how Vision Language Models are applied in real world, production grade systems. You will play a central role in building and scaling VLM driven intelligence that connects edge devices with cloud based reasoning, influencing both technical direction and product outcomes in a fast moving environment.
The Company
They are a technology led organisation building intelligent, connected solutions that blend advanced machine learning with real world operational workflows. Their platform is designed to turn complex visual data into actionable insights at scale. The team brings together expertise across machine learning, computer vision, embedded systems and data science, with a strong focus on building systems that perform reliably in production.
The Role
- Own the design and development of cloud based Vision Language Model pipelines used for large scale labelling and annotation
- Drive decisions on what visual signals, metadata and contextual information are captured from edge devices to maximise VLM performance
- Build and evaluate end to end inference systems, including prompt design, fine tuning strategies and model benchmarking
- Partner closely with embedded systems, computer vision and data science teams to close the loop between devices and cloud intelligence
- Stay at the forefront of the VLM landscape, assessing and integrating commercial and open source models as capabilities evolve
Your Skills and Experience
- Strong commercial experience as a machine learning engineer working with computer vision, LLMs or Vision Language Models
- Hands on experience evaluating, fine tuning or deploying VLMs in production environments
- Deep understanding of how edge constraints such as bandwidth, latency and compute influence model design
- Proficiency with Python, PyTorch and modern cloud based inference and evaluation tooling
- Practical expertise in prompt engineering and model evaluation, with a focus on measurable performance improvements
- Comfortable owning problems end to end and collaborating across hardware and software teams
What They Offer
- Competitive base salary of $200,000 to $230,000 plus equity
- Fully remote working across the United States
- Comprehensive benefits including medical, dental and vision cover
- Flexible paid time off and a strong culture of autonomy and trust
- The opportunity to be a technical leader in the application of Vision Language Models at scale
How to Apply
If you are excited by the challenge of building production grade VLM systems with real world impact, apply now to learn more about this opportunity.
To Apply for this Job Click Here
Computer Vision Researcher – Fully Remote
$180000 - $190000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Computer Vision Researcher
United States | $170,000 to $190,000 base salary plus bonus and benefits
This is a high-impact research role focused on applying advanced computer vision and deep learning techniques to real-world healthcare problems. You will work on complex visual data at scale, seeing your research move from experimentation into production and directly influencing quality of care.
The Company
They are a healthcare technology organisation using AI and data science to improve clinical decision-making and patient outcomes. Their platforms combine large-scale medical imaging data with rigorous, science-led research. Working closely with clinical and engineering teams, they focus on building AI systems that are both technically robust and clinically meaningful.
The Role
- Research, develop and deploy computer vision models used in production environments
- Work with large-scale medical imaging data including MRI, CT and X-ray
- Design and evaluate deep learning architectures for image classification, detection and representation learning
- Apply modern techniques such as convolutional neural networks, transformers and multimodal learning
- Collaborate with engineers, data scientists and clinical experts to shape the research roadmap
- Contribute to publications, conference submissions and internal innovation initiatives
- Support best practices in research and mentor other team members
Your Skills & Experience
- Strong applied research experience in computer vision and deep learning
- Hands-on expertise with CNNs, vision transformers, image segmentation and feature extraction
- Experience working with large image datasets and complex labelling challenges
- Proficiency in Python and PyTorch
- Ability to take research ideas from concept through evaluation and deployment
- Comfortable working in multidisciplinary teams and communicating technical work clearly
- Experience with medical imaging, multimodal models or large-scale training is beneficial
What They Offer
- Base salary between $170,000 and $190,000 plus discretionary bonus
- Comprehensive medical, dental and vision coverage
- Flexible time off and a strong focus on wellbeing
- Retirement plan and annual professional development stipend
- Clear progression opportunities into senior and research leadership roles
How to Apply
If you are excited by cutting-edge computer vision research with real-world impact, apply now to learn more about this opportunity.
To Apply for this Job Click Here
Lead Machine Learning Engineer
England
£90000 - £95000
+ Data Science & AI
ContractEngland
To Apply for this Job Click Here
Lead Machine Learning Engineer (FTC with strong chance of going permanent, flexible working hours)
London or UK Remote, £90,000 to £95,000
This is a high impact opportunity to step into a senior, hands on ML Engineering role where you will lead the productionisation of machine learning solutions while shaping how ML is delivered at scale. Offered initially as a fixed term contract, the role is viewed as part of the long term structure with a strong likelihood of becoming permanent. You will also benefit from genuinely flexible working hours and a healthy work life balance.
The Company
They are a large, well established UK organisation with a strong reputation for quality, trust, and a client first mindset. Data and AI are a growing strategic priority, with clear senior sponsorship and increasing investment. The technology function has a strong software engineering culture and is modernising its cloud and data platform to support advanced analytics and AI use cases.
The Role
- Lead the ML Engineering capability, taking ownership of end to end delivery
- Design, build, and productionise scalable ML pipelines aligned to business priorities
- Work closely with Data Scientists to deploy, monitor, and improve models in production
- Own MLOps practices including deployment, monitoring, and model lifecycle management
- Deliver NLP and LLM driven solutions, including fine tuning and integration into live systems
- Contribute as a technical thought leader, setting best practice across ML engineering and data products
- Support cloud migration and platform development within an Azure and Databricks environment
Your Skills & Experience
- Strong commercial experience as an ML Engineer with a software engineering background
- Hands on experience delivering production ML systems end to end
- Strong Python and SQL skills within cloud based environments
- Experience working with Databricks and Azure
- Practical experience with NLP and LLM use cases, including fine tuning
- Good understanding of MLOps, CI/CD, and model monitoring
- Comfortable collaborating with Data Scientists and engaging with non technical stakeholders
What They Offer
- £90,000 to £95,000 base salary
- Fixed term contract with a high chance of conversion to permanent
- Annual bonus and comprehensive benefits package
- 35 hour working week with flexible start and finish times, including the option for a four day working week
- Primarily remote working with occasional office attendance if required
- A supportive, delivery focused environment with long term career progression
How to Apply
If you are a hands on ML Engineer looking to lead, scale, and productionise meaningful machine learning solutions, apply now for a confidential discussion.
To Apply for this Job Click Here
Junior Computer Vision Engineer
Amsterdam
€60000 - €60000
+ Computer Vision
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
Junior Computer Vision Engineer
Amsterdam (West) and hybrid working
Salary: €60,000 including holiday allowance
This is a rare opportunity to join a highly technical AI team working on real world computer vision systems deployed at scale. You will be hands on from day one, building end to end computer vision solutions that have a clear commercial impact, while learning from experienced AI engineers in a fast moving startup environment.
The Company
They are a growing B2B technology business developing automated inspection systems using advanced computer vision. Their platform captures and analyses large volumes of images in seconds to assess vehicles, helping partners reduce cost and improve operational efficiency. The company has been operating successfully for several years and is backed by a larger industrial group, combining startup pace with long term stability.
The Role
- Design and build computer vision solutions focused on object detection and 3D image understanding
- Work end to end across the computer vision pipeline, from camera systems and data collection through to model training and deployment
- Develop and optimise models that process high volumes of images in real time
- Collaborate closely with other AI engineers in a small, highly technical team
- Contribute to production ready systems used by external customers
Your Skills & Experience
- Strong foundations in computer vision, including object detection and image recognition
- Exposure to 3D computer vision or multi camera systems
- Experience developing in Python and working with machine learning models
- Understanding of model training, architecture choices and deployment workflows
- Comfortable working independently and delivering solutions in short timeframes
- Academic or project background in computer vision, data science or a related field
What They Offer
- High impact role with exposure to real world production systems from day one
- A collaborative, hands on culture suited to people who enjoy smaller, fast moving teams
How to Apply
If you are excited by applied computer vision and want to grow in a highly technical environment, apply now to find out more.
To Apply for this Job Click Here
NetSuite Developer (Contract)
London
£525 - £550
+ Data Engineering
ContractLondon
To Apply for this Job Click Here
This freelance opportunity offers the chance to lead complex NetSuite transformation programmes across multi‑entity, international environments. You will take ownership of end‑to‑end solution design and delivery, working closely with senior stakeholders to shape scalable NetSuite architectures that support long‑term business transformation.
The Company
They are a global organisation operating across multiple regions and business units, undergoing significant systems and process transformation. NetSuite sits at the centre of their finance and operational landscape, supporting growth, optimisation, and integration across the wider technology estate. The environment is complex, fast‑moving, and collaborative, with a strong focus on long‑term platform value.
The Role and Deliverables
- Lead end‑to‑end NetSuite solution architecture and delivery across multi‑entity and multi‑country implementations.
- Run discovery workshops, requirements gathering, and process mapping with senior business stakeholders.
- Design and deliver NetSuite configurations, customisations, and workflows across core finance and operational processes.
- Architect and oversee integrations between NetSuite and third‑party systems including CRM, HCM, WMS, eCommerce, and data platforms.
- Lead testing, data migration, cutover, and go‑live activities to ensure stable deployment.
- Produce documentation and deliver training to support adoption and continuous improvement.
Your Skills & Experience
- Strong experience leading complex NetSuite implementations as a Developer, Consultant, or Architect.
- Proven capability designing scalable NetSuite architectures aligned to business transformation goals.
- Hands‑on expertise with SuiteScript, NetSuite workflows, configurations, and custom records.
- Strong functional knowledge across finance, order management, procurement, manufacturing, and logistics.
- Experience integrating NetSuite with enterprise systems such as CRM, HCM, WMS, and eCommerce platforms.
- Confident stakeholder engagement skills, with the ability to translate business needs into technical solutions.
How to Apply
Apply now to discuss this contract opportunity in more detail and explore how you could make a significant impact on a global NetSuite transformation programme.
To Apply for this Job Click Here
Lead AI Engineer – Multimodal
London
£120000 - £140000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Lead AI Engineer – Multimodal
London (Hybrid), Up to £140,000 + benefits
This is a standout opportunity to step into a senior, hands-on leadership role within a newly established AI Lab. You will have genuine influence over technical direction, product experimentation, and delivery, while helping shape how generative AI is applied to high-impact, content-led products.
The Company
They are a globally operating organisation known for producing trusted, high-quality information and insight at scale. With a strong reputation for intellectual rigour and independence, they are investing significantly in advanced AI capabilities as part of a long-term product and innovation strategy. The AI Lab sits at the centre of this ambition, operating as a focused, high-impact product initiative.
The Role
- Provide senior technical leadership across a small, multidisciplinary AI Lab
- Design, build, and iterate on AI-powered prototypes spanning text, audio, voice, and multimodal experiences
- Lead technical exploration of new models, tools, and workflows
- Define and own architectural decisions, balancing speed, quality, and scalability
- Work closely with product, engineering, and non-technical stakeholders to turn ideas into live experiments
- Mentor and support engineers, contributing to the Lab’s longer-term technical roadmap
Your Skills & Experience
- Strong commercial experience building with modern generative AI systems in production or advanced prototype environments
- Excellent software engineering capability with a bias towards hands-on delivery
- Experience working across multiple modalities, such as text, audio, voice, or conversational interfaces
- Strong judgement in selecting models, tools, and architectures for different use cases
- Confidence communicating complex technical concepts to non-technical audiences
- Comfortable operating autonomously in fast-moving, ambiguous environments
What They Offer
- Salary up to £140,000 plus a competitive benefits package
- A senior role with real ownership and influence over a flagship AI initiative
- The opportunity to work in a small, high-impact team with strong executive backing
- Hybrid working model with a central London office and collaborative culture
How to Apply
Apply now to find out more about this Lead AI Engineer role and how you could shape the next phase of an ambitious AI programme.
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
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
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Digital Media and Analytics
Client – Director of Customer Data Science – Apparel
The team at Harnham have been outstanding in helping our company build a market-leading data science team. Harnham’s communication is great, and the recruiter’s take a consultative approach that’s really focused on provided value for both their clients and their candidates. They provide strong candidates that help us fill our roles with high achievers who are also a great fit for our culture.
Client /
Director of Customer Data Science – Apparel
Candidate – Chief Data Officer
It was a real treat to work with Harnham. My recruiter consistently went above and beyond to ensure that I navigated through the recruitment process as smooth as possible. I had been in contact with other professional at Harnham in the past and I can attest that the level of professionalism is always top-notch.
Candidate /
Chief Data Officer
Client – Director of 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!
