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
Senior/Principal Applied AI Engineer
Michigan
$150000 - $205000
+ Data Science & AI
PermanentMichigan
To Apply for this Job Click Here
Senior/Principal Applied AI Engineer
United States, hybrid or remote. Competitive salary plus benefits.
$150,000 to $205,000 + 15% Bonus
This is an opportunity to take ownership of real, production-grade Generative AI solutions in a highly applied environment. You will work on end-to-end AI delivery, from early prototypes through to scalable deployment, with clear visibility of the impact your work has on customers and internal teams.
The Company
They are a well-established organisation operating in a highly regulated, customer-focused industry. Data and AI are central to their strategy, with significant investment in modern platforms and applied AI capabilities. The business values practical innovation, collaboration, and building technology that delivers measurable outcomes at scale.
The Role
You will be a senior, hands-on contributor within an Applied AI team, responsible for turning GenAI concepts into robust solutions. Key responsibilities include:
- Designing, building, and deploying Generative AI applications across client-facing and internal platforms.
- Developing LLM-powered solutions using prompt engineering, vector databases, and Retrieval-Augmented Generation pipelines.
- Building and owning AI chatbots and conversational agents to production standards, including performance, scalability, and compliance.
- Creating AI agents across digital and voice channels to support real-time interactions.
- Delivering proof-of-concept solutions for use cases such as document understanding, summarisation, and knowledge assistants.
- Optimising model usage, prompts, and parameters to balance accuracy, cost, and reliability.
- Collaborating with product, engineering, data, and external partners to align AI solutions with business priorities.
Your Skills and Experience
You will bring strong, practical experience applying Generative AI in commercial settings, including:
- Advanced Python development skills with modern GenAI and machine learning libraries.
- Hands-on experience with large language models, prompt engineering, and LLM evaluation.
- Proven capability building RAG pipelines and working with vector databases.
- Strong SQL skills and experience working with cloud data platforms.
- Experience delivering production-grade conversational AI or chatbot solutions.
- The ability to communicate complex AI concepts clearly to technical and non-technical stakeholders.
- Comfort working in fast-paced, cross-functional environments.
What They Offer
- Competitive salary and comprehensive benefits package.
- The chance to work on high-impact, enterprise-scale AI products.
- Exposure to a wide range of GenAI use cases, including conversational AI and intelligent automation.
- Clear opportunities for technical growth and influence within a growing Data and AI function.
- A collaborative, supportive culture that values continuous improvement and learning.
How to Apply
If you are an Applied AI Engineer looking to build and deploy meaningful Generative AI solutions, apply now to find out more.
To Apply for this Job Click Here
Senior ML Platform Engineer – Robotics
London
£500 - £750
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Senior ML Platform Engineer – Robotics
London, Hybrid
Contract – Long Term
Salary: Competitive
Harnham are working with a growing robotics and AI company that is looking for a Senior ML Platform Engineer to join their team in London.
This is a hands-on platform engineering role, focused on owning the software, tooling, web UI, and infrastructure layer used by data operators, ML engineers, and robotics engineers.
You will be responsible for building and improving the internal applications and orchestration tooling that support robot data collection, dataset workflows, model training infrastructure, and on-robot deployment.
The Role
You will:
* Own and extend internal web applications used for robot data collection, review, QA, and dataset publishing
* Build and maintain FastAPI backends, vanilla JavaScript frontends, CLI tooling, and supporting services
* Improve recording workflows, state machines, config validation, batch processing, stale-data recovery, and archival processes
* Containerise and orchestrate services to ensure reliable deployment across machines and lab environments
* Partner with ML engineers on dataset building, ingestion pipelines, distributed training infrastructure, and high-throughput data workflows
* Work with robotics engineers on ROS2 integration, robot data streams, deployment workflows, and hardware-adjacent platform tooling
* Improve testing, CI, observability, reliability, and performance across concurrent and IO-heavy systems
Essential Skills
You must have:
* Senior-level software engineering experience, ideally 5+ years
* Strong production Python experience
* Experience with typing, async/await, threading, multiprocessing, and concurrent workloads
* FastAPI or another async Python web framework
* Vanilla JavaScript, including DOM manipulation, fetch, and WebSockets
* Experience building internal tooling, operator tooling, platform tooling, or workflow orchestration systems
* Strong CLI tooling experience, including argparse or Click, config validation, subcommands, and clear error handling
* Docker, CI, automated testing, and reproducible environments
* Strong software engineering fundamentals, including algorithms, data structures, networking, memory, IPC, and systems-level thinking
* Experience with high-throughput data pipelines, distributed systems, or performance-sensitive IO workloads
* Experience orchestrating external CLI tools from Python via subprocess, ideally ffmpeg or similar data/media processing tools
Nice to Have
It would be useful to have:
* Distributed ML training infrastructure experience, such as PyTorch DDP, FSDP, DeepSpeed, sharded datasets, streaming readers, or GPU utilisation profiling
* ROS2 experience, including publishers, subscribers, QoS, message types, and topic debugging
* Experience working with physical robot hardware, camera streams, joint states, or latency-sensitive control paths
* OpenCV, NumPy, pandas, PyTorch, JAX, cloud, HPC, or LeRobot dataset format experience
* Experience working closely with ML researchers or robotics engineers in a fast-moving technical environment
The Company
The company is building advanced robotics and AI systems and is looking for someone who can sit at the intersection of software engineering, ML infrastructure, data tooling, and robotics integration.
This is a strong opportunity for a senior engineer who wants real technical ownership and the chance to build the platform layer that supports robotics data collection, model training, and deployment.
To Apply for this Job Click Here
Lead AI Engineer
London
£100000 - £130000
+ Data Science & AI
PermanentEngland
To Apply for this Job Click Here
AI Engineering Lead
Fully Remote, UK with occasional travel to London and Birmingham | £100,000 to £130,000 base plus bonus and benefits
This is a standout opportunity if you want to be the person who defines how AI is built and scaled across an entire organisation. You will step into a genuinely greenfield role with executive visibility, real autonomy and the mandate to turn AI from experimentation into measurable commercial value.
The Company
They are a high-growth group operating in the Testing, Inspection and Compliance space, with a global footprint across the UK, Europe, the US and APAC. Growth has been driven by an ambitious acquisition strategy, while retaining the identity and expertise of each portfolio business. AI is firmly on the leadership agenda, with multiple live proof-of-concept initiatives and clear appetite to invest further. The culture is pragmatic, low ego and refreshingly non-corporate.
The Role
- Act as the first AI Engineering Lead at group level, reporting into the COO with regular exposure to the CEO and executive team.
- Own AI strategy, architecture and delivery across a diverse portfolio of businesses and use cases.
- Take AI solutions from proof of concept through to production, focusing on commercial impact and scalability.
- Evaluate platforms, tools and vendors while setting best practice for AI engineering and deployment.
- Work closely with technical and non-technical stakeholders to identify high-value opportunities and drive adoption across the group.
- Shape the foundations of an AI function that can scale alongside ongoing acquisitions.
Your Skills & Experience
- Strong commercial experience delivering AI and machine learning solutions into production environments.
- Hands-on capability with AI engineering, including LLMs, Python-based development, system architecture and deployment.
- Confidence designing end-to-end solutions rather than isolated experiments.
- Proven ability to influence senior stakeholders and translate business problems into practical AI outcomes.
- A self-starter mindset, comfortable operating with autonomy in a fast-moving environment.
What They Offer
- Base salary of £100,000 to £130,000, with flexibility.
- Annual bonus of up to 20 percent.
- Private medical cover.
- Fully remote working with occasional UK travel.
- High-impact role with long-term progression and the chance to build something meaningful from the ground up.
How to Apply
If you are looking for a senior AI Engineering role with real influence, ownership and visibility, apply now to find out more.
To Apply for this Job Click Here
Senior Research Engineer
$55 - $65
+ Data Science & AI
ContractUSA
To Apply for this Job Click Here
Job Title
Senior Research Engineer (Machine Learning, Data Platforms)
Intro Harnham
Harnham is supporting a global organization at the forefront of data and machine learning innovation. This role sits within a specialised engineering team delivering high‑impact ML systems at scale.
Intro client
The client is a large international data and technology organisation building advanced platforms used for large‑scale data analysis, entity resolution, and investigative workflows.
Role Details
- Role: Senior Research Engineer
- Location: Remote, EST preferred
- Pay Range: $55-$65 per hour
- Length: 6 months contract with potential extension
- Start: ASAP (target mid June 2026)
- Utilization: Full time
Intro to role
This role sits within a team focused on large‑scale data processing and entity matching. The work involves building the underlying systems and pipelines that allow machine learning models to operate efficiently across extremely large datasets. It is more engineering‑focused than research, centred on scalability, performance, and production delivery.
Key Responsibilities
- Build and optimise large‑scale data pipelines for machine learning workloads
- Support migration of data infrastructure to modern cloud platforms (Snowflake)
- Deploy and run machine learning models in production environments
- Improve performance and scalability of systems handling billions of records
- Collaborate with data scientists to productionise research models
- Contribute to CI/CD, DevOps, and system reliability practices
Requirements
Must have
- 5 plus years of software engineering experience
- 2 plus years working on production machine learning systems
- Strong Python development experience
- Experience building scalable data pipelines
- Experience with SQL and relational databases
- Cloud experience, ideally AWS
Nice to have
- Experience with Snowflake or large‑scale data platforms
- Familiarity with traditional ML tools (scikit‑learn, XGBoost)
- Experience with entity resolution, matching, or deduplication
- Understanding of MLOps or ModelOps concepts
- Additional programming languages (Java, Scala, etc.)
Outro
This role is well suited to an engineer who prefers building production systems over pure research, and who enjoys solving complex data challenges at scale within a high‑impact environment.
WE WILL NOT BE UTILIZING THIRD PARTIES FOR THIS SEARCH. CANDIDATES, PLEASE APPLY DIRECTLY
To Apply for this Job Click Here
Senior AI Platform Engineer
London
£100000 - £130000
+ Data Science & AI
PermanentEngland
To Apply for this Job Click Here
Senior AI Platform Engineer
UK Remote | £95,000 to £130,000 plus stock options
This is a rare opportunity to take real ownership of an AI platform at a pivotal moment. You will help shape how AI is embedded into a modern SaaS product, building systems that move beyond prototypes into reliable, production-ready features used by teams every day. If you enjoy autonomy, product thinking and seeing your work land in the real world, this role offers genuine impact.
The Company
They are a remote-first SaaS business building a platform that helps product teams document, scale and govern their design systems. Used by design and engineering teams to reduce duplication and improve collaboration, the product sits at the intersection of design, code and documentation. As software development rapidly shifts towards AI-assisted workflows, the company is investing heavily in agentic and AI-driven capabilities to power the next phase of growth.
The Role
You will operate as a senior individual contributor, embedded within cross-functional product squads and owning AI-driven features end to end.
- Design and build agentic workflows that react to changes in codebases, documentation and design tools
- Develop orchestration layers that turn structured and unstructured inputs into reusable platform capabilities
- Build reliable, production-grade AI features using modern LLM frameworks and tooling
- Work across frontend, backend and AI platform layers to deliver cohesive, high-quality solutions
- Collaborate closely with product and design to ensure features are intuitive, valuable and user-focused
- Take responsibility from early discovery through to deployment and iteration
Your Skills & Experience
You are a product-minded engineer who enjoys building platforms that scale.
- Strong experience building and shipping AI-powered systems in production environments
- Hands-on experience with LLM frameworks, retrieval systems and agentic workflows
- Full stack engineering capability across frontend, backend and platform layers
- Strong React knowledge with modern patterns and a pragmatic engineering mindset
- Comfort working in fast-moving environments with ambiguity and long-term ownership
Experience with cloud platforms, deployment workflows or platform engineering is beneficial but not essential.
What They Offer
- Salary up to £130,000 plus stock options
- Fully remote working across the UK
- 4 to 6 fully expensed team meetups per year in London
- High trust environment with a strong focus on quality, ownership and thoughtful engineering
- The chance to shape the future of AI-driven product development within a growing SaaS business
How to Apply
If you are excited by building real, reliable AI systems and want to own meaningful platform work in a remote-first environment, apply to find out more.
To Apply for this Job Click Here
Computer Vision Engineer
New York
$150000 - $200000
+ Computer Vision
PermanentNew York
To Apply for this Job Click Here
Senior Computer Vision Engineer (2D or 3D – Clinical AI)
About the Company
The mission is simple but ambitious: democratize access to high?quality cardiac care, especially in regions where cardiologists and advanced imaging equipment are scarce.
About the Role
This is a hands-on applied engineering position focused on building and deploying real clinical AI, not academic experiments. You will own production imaging models end?to?end, ensure reliability across diverse clinical settings, and work closely with clinical, regulatory, and deployment teams.
Profile A –
- Segmentation
- Localization
- Ultrasound/Echo image processing
- Signal and noise?robust imaging pipelines
Profile B – 3D Modeling
- Volumetric reconstruction
- 3D geometry and physics-informed modeling
- Computational representations of cardiac structures
Exceptional candidates may be considered for both tracks.
What You Will Own
Computer Vision Development
- Build production-grade CV models used in live cardiac workflows
- Develop 2D segmentation, 3D/4D reconstruction, and mathematical modeling systems
- Optimize models for low?latency clinical deployment
- Debug imaging pipelines across noisy, highly variable datasets
Production ML & Deployment
- Own pipelines from prototype ? production
- Support deployment engineers with real?world constraints
- Maintain model reliability across multiple international regions
- Monitor drift, performance degradation, and operational issues
What We’re Looking For
Required
- Strong experience in Computer Vision (2D and/or 3D)
- Production ML experience-beyond research or academic prototypes
- Background in biomedical or clinical imaging (ultrasound strongly preferred)
- Ability to debug, iterate, and deliver under pressure
- Experience working with deployment or ops engineering teams
- Comfort writing regulatory?oriented technical documentation
- Strong Python + PyTorch skills
- Startup mindset – bias for action, adaptability, ownership
To Apply for this Job Click Here
Director of AI
Los Angeles
$230000 - $400000
+ Data Science & AI
PermanentLos Angeles, California
To Apply for this Job Click Here
Senior AI/ML Engineer – Foundation Models & Agentic AI
Life Sciences AI | Biotech / Therapeutics / Computational Biology
What You’ll Work On
- Develop and train proprietary foundation models on multi-omics data (genomics, transcriptomics, proteomics, metabolomics)
- Design novel algorithms to integrate and differentiate across omics modalities
- Own the full training pipeline: data ingestion, tokenization, pretraining, and evaluation
- Push the state of the art – we are building models that do not exist yet
Agentic AI for Life Sciences
- Build and deploy AI agents that assist researchers across therapeutic development, computational chemistry, and biology
- Design multi-agent architectures using LangChain, LangGraph, and custom orchestration layers
- Integrate agents with internal databases, experimental systems, and third-party scientific tools
- Develop agentic workflows for use cases in cosmetics R&D, drug discovery, and clinical analysis
Production ML Infrastructure
- Own model deployment, scaling, and serving infrastructure
- Optimize inference using NVIDIA TensorRT-LLM, Dynamo, Triton, and related tooling
- Partner with software engineering on integration into our broader platform
- Maintain reliability, performance, and observability across deployed models
What We’re Looking For
Required
- Strong hands-on ML/AI engineering experience – you write real code, not just direct others
- Deep proficiency in Python and PyTorch – this is non-negotiable
- Experience training, fine-tuning, and deploying foundation models from scratch or from pretrained checkpoints
- Familiarity with the Hugging Face ecosystem (Transformers, Datasets, PEFT, Accelerate)
- Experience with LangChain and/or LangGraph for agentic pipeline development
- Working knowledge of the NVIDIA stack: TensorRT-LLM, Triton Inference Server, Dynamo
- Comfort with large-scale distributed training tools: DeepSpeed, xFormers
- Strong understanding of state-of-the-art model architectures (transformers, SSMs, diffusion, etc.)
- Ability to collaborate across technical and non-technical teams – bio, chem, software, clinical
- Excellent communication skills – you can explain a training run to a chemist
Strongly Preferred
- Experience with omics data (any modality: genomic, proteomic, transcriptomic, metabolomic)
- Background in computational biology, computational chemistry, or bioinformatics
- Prior work in biotech, pharma, or life sciences AI (not required but a plus)
- Experience building or contributing to multi-agent systems in a production environment
- Track record of independent research or open-source contributions in ML
Technical Skills Summary
Core ML / Training
- PyTorch – primary framework
- DeepSpeed – distributed training and ZeRO optimization
- xFormers – memory-efficient attention and transformer components
- Hugging Face Transformers, PEFT, Accelerate
- Training and fine-tuning large language and multimodal models
Inference & Deployment
- NVIDIA TensorRT-LLM – high-performance LLM inference
- NVIDIA Dynamo – inference orchestration and scheduling
- Triton Inference Server – model serving and batching
- Model quantization, distillation, and latency optimization
Agentic & Orchestration
- LangChain / LangGraph – agent design and multi-agent orchestration
- Tool-use, RAG pipelines, and memory systems
- API and system integration across scientific data sources
To Apply for this Job Click Here
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
Senior AI Platform Engineer
Manchester
£100000 - £130000
+ Data Engineering
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
Senior AI Platform Engineer
UK Remote role
Salary up to £130,000 plus equity
This is a rare opportunity to join a growing SaaS business at a pivotal point in its technical evolution. They are investing heavily in AI and platform capability, looking for someone who can take ownership of agentic AI systems and shape how intelligent workflows are embedded across a complex product used by large, design-led organisations.
The Company
They are a well-established SaaS business building a platform that helps teams design, govern and scale design systems more effectively. Their software is used by global enterprises working with complex, large-scale systems. Operating as a product-led organisation, they work in small, autonomous squads and place a strong emphasis on thoughtful engineering, usability and long-term product quality.
The Role
As a Senior AI Platform Engineer, you will act as the AI and platform specialist across the engineering organisation, working closely with product, design and engineering teams. Your responsibilities will include:
- Designing and building agentic AI workflows that integrate deeply into an existing product platform.
- Developing systems that allow design changes to propagate intelligently across tools and documentation.
- Working across multiple squads to embed AI capability rather than isolating it in a single team.
- Making architectural decisions around cloud infrastructure, cost optimisation and scalability.
- Collaborating closely with product and design to ensure AI features deliver real user value.
Your Skills and Experience
You will bring:
- Strong commercial experience building AI-driven systems using LLM frameworks such as LangChain or LangGraph.
- Proven experience designing or contributing to impactful platform-level engineering work.
- A solid software engineering background, with exposure to backend systems and modern frontend frameworks such as React.
- Experience working with cloud infrastructure, ideally AWS, and an understanding of system design and cost efficiency.
- A product-focused mindset, with evidence of seeing features through from concept to production and iteration.
What They Offer
- The chance to define AI capability in a product used by some of the world’s largest organisations.
- Clear technical influence and ownership in a growing engineering team.
How to Apply
If you are interested in building agentic AI systems within a product-focused SaaS environment, apply now to learn more about this opportunity.
To Apply for this Job Click Here
AI Platform Engineer
London
£90000 - £130000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Fully Remote (UK) | £95,000 to £130,000 plus stock options
This is a rare opportunity to shape the AI foundations of a modern SaaS platform at a pivotal stage of growth. You will join a product focused, design led business that is moving beyond experimentation into production grade, agentic AI systems that directly impact how design teams work at scale.
The Role
You will take ownership of AI and platform capabilities across the product, acting as a technical lead in a team of experienced full stack engineers.
- Design and build agentic AI workflows that operate across large, structured content sets
- Develop reliable AI systems that translate UI and design changes across the wider platform
- Build and maintain retrieval, orchestration and evaluation frameworks for LLM powered features
- Influence cloud architecture and cost efficiency within an AWS environment
- Work closely with product and design to ensure AI features are user focused and production ready
- Help establish best practice around observability, governance and responsible AI development
Your Skills and Experience
You will be a product minded engineer who enjoys building platforms from the ground up.
- Strong commercial experience as a full stack or backend focused engineer
- Hands on experience building agentic AI systems using frameworks such as LangChain or LangGraph
- Experience shipping AI powered features into production environments
- Solid understanding of cloud infrastructure, ideally AWS and services such as Bedrock or serverless tooling
- Experience with modern web technologies including React and JavaScript or TypeScript
- Comfortable working in evolving codebases, with exposure to Ruby on Rails or Node.js beneficial
- A track record of seeing products through build, launch and iteration
To Apply for this Job Click Here
Analytics Engineer
London
£50000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Analytics Engineer
Farringdon, London/ HYBRID
UP TO £60,000
Overview
This is a standout opportunity to join a growing data function at an organisation where data is becoming central to how the business operates. You will step into a highly visible role with real influence, owning end to end delivery across data pipelines, modelling, and reporting while helping to shape standards and ways of working from an early stage.
The Company
They are a globally operating design and professional services organisation delivering complex projects across a wide range of sectors. Headquartered in London, the business works internationally and is known for its ambitious, design led approach. Data is increasingly important to how they manage operations, finance, and decision making, and the data capability is now being built with long term scale in mind.
The Role & Responsibilities
- Build, manage, and maintain end to end data pipelines using Azure-based tooling.
- Develop and evolve a lakehouse-style platform, with Databricks used primarily for transformation and modelling.
- Integrate data from core business systems such as finance and HR via APIs and structured feeds.
- Translate business requirements into robust, scalable data models using best practice approaches.
- Own the semantic layer and reporting layer in Power BI, enabling trusted self-serve analytics.
- Work closely with stakeholders across the business to define how data should be structured and used.
- Play a key role in shaping data standards, patterns, and foundations as the team grows.
Skills and Experience
- Strong commercial experience working in a cloud data environment, ideally Azure.
- Solid SQL capability and confidence building reliable transformation logic.
- Experience with data modelling concepts such as star schema, Kimball-style modelling, and semantic layers.
- Power BI experience across data modelling, DAX, and report development.
- Exposure to Databricks and lakehouse concepts, including incremental loads and snapshotting.
- Comfortable engaging with non-technical stakeholders and translating requirements into data solutions.
To Apply for this Job Click Here
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A Deep Dive Into The UK’s Most In-Demand Jobs: Machine Learning Engineers | Harnham Recruitment post
LinkedIn have released the 2022 LinkedIn Jobs on the Rise list which combines the 25 fastest-growing job titles over the past five years. To create the rankings…
Black History Month: Ethical AI and the Bias Within
According to Brigette Hyacinth’s 2017 book entitled, The Future of Leadership, the author suggests this when considering the ramifications of AI. “Using AI to…
Our Interview With Amit Jnagal, CEO Of AI Firm Infrrd | Harnham US Recruitment post
Amit Jnagal is the CEO of Infrrd.ai, an award-winning Artificial Intelligence software firm in San Jose. We reached out to learn what had inspired Amit to start…
Battle Royale: Computational Biologists vs Machine Learning Engineers | Harnham US Recruitment post
From the first genome sequencing in the second revolution to Life Science Analytics as a growing field in the fourth industrial revolution, change has been both…
Testimonials
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testimonials
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Candidate – Digital Media and Analytics
I've recently got a short-term contract role through Harnham, and things couldn't have gone better! My recruiter was incredibly helpful throughout the entire process. They also provided incredible admin support so that I could focus on the actual job in hand, rather than having to spend too much time dealing with these matters.
Candidate /
Digital Media and Analytics
Candidate – Senior Data Engineer
I've been a Senior Data Engineer for about 4-5 years and Harnham is one of the best recruitment agencies I worked with. There was a time when my offer fell through and the recruiter I was working with at Harnham jumped in to the rescue and scheduled interviews for me within a couple of days. Really good agency and some great people.
Candidate /
Senior Data Engineer
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!
Client /
Director of People Operations
Client – Director of Customer Data Science – Apparel
The team at Harnham have been outstanding in helping our company build a market-leading data science team. Harnham’s communication is great, and the recruiter’s take a consultative approach that’s really focused on provided value for both their clients and their candidates. They provide strong candidates that help us fill our roles with high achievers who are also a great fit for our culture.
Client /
Director of Customer Data Science – Apparel
Candidate – Data Analyst
I’ve had a great experience with Harnham. The recruiter provided great advice and ensured that I understood everything, and even followed up with me after I started my new role to see how I was settling in. I would recommend Harnham as a great recruitment company for anyone looking for a role in data and analytics.
Candidate /
Data Analyst
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 – 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.
