AI
ENGINEERING RECRUITMENT SOLUTIONS
Harnham specializes in AI Engineering recruitment, offering a deep understanding of the AI technology landscape and its evolving demands. Our services are tailored to identify and attract AI professionals with expertise in machine learning, deep learning, computer vision, natural language processing, and other AI disciplines, ensuring they match the specific needs of your projects and company culture.
With our extensive global network, we access a vast pool of AI talent across various regions, while our local market expertise guarantees a nuanced understanding of each area's unique professional landscape. This dual approach ensures we deliver candidates who not only excel in their technical capabilities but also align with your regional and organizational nuances.
WHY
HARNHAM?
Harnham goes beyond traditional AI recruitment; we act as your strategic data talent partner, understanding your business objectives and technological environment to align our data talent search with your long-term goals.
This approach transforms AI recruitment from a transactional process to a strategic element of your business success. We offer a full spectrum of data talent solutions encompassing talent mapping, market analysis, competitor intelligence, AI salary benchmarking, and strategic workforce planning. Our comprehensive services ensure you can not only attract but also retain the leading minds in AI engineering.Â
OUR
SERVICES
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- Permanent Direct Hire Placement: We find the perfect match for your long-term needs in AI engineering, ensuring candidates who can grow and evolve with your company.
- Contract and Freelance : Our contract recruitment solutions offer flexibility and access to top-tier talent for project-based or interim needs in AI engineering.
- Executive Search: We identify and secure industry-leading executives who can steer your AI initiatives to new heights of success and innovation.
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Discover how our tailored AI recruitment and data talent solutions can empower your business to lead in the AI revolution.Â
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JOBS
LATEST AI engineering
JOBS
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Senior Machine Learning Engineer – Applied ML Platform – Fully Remote
$180000 - $200000
+ Data Science & AI
PermanentUSA
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Senior Machine Learning Engineer – Applied ML Platform
REMOTE Across the US
$180,000 to $200,000 + Equity
We’re working with a scaling AI‑driven technology company building high‑impact machine learning systems that operate at serious scale. They’re looking for a Senior Machine Learning Engineer to own core ML infrastructure and production models that directly influence commercial outcomes.
This is a role for someone who enjoys production ML, not experimentation for experimentation’s sake.
What you’ll be doing
- Designing, training, and deploying large‑scale ML models used in live decision‑making systems
- Building and optimising distributed training pipelines for neural networks
- Owning the full ML lifecycle: feature engineering, training, evaluation, batch inference, and monitoring
- Working closely with product and engineering leaders to align models with real business KPIs
- Improving ML reliability, observability, and reproducibility across production environments
What they’re looking for
- Strong experience delivering production ML systems end‑to‑end
- Deep hands‑on expertise with Python and modern ML frameworks (e.g. PyTorch)
- Background working with large datasets, distributed compute, and MLOps tooling
- Comfortable operating in fast‑moving, product‑led environments
- Experience in adtech, marketplaces, or data‑intensive platforms is a plus, not a requirement
Why this role
- ML that directly impacts revenue and product performance
- Strong existing foundations, you’re scaling and improving, not firefighting
- High ownership and influence over technical direction
- Opportunity to work on genuinely complex, real‑world ML problems
HOW TO APPLY
If you’re passionate about building scalable ML systems and want to work in a dynamic, innovative environment, apply today to learn more.

To Apply for this Job Click Here
AI Engineer
London
£100000 - £101000
+ Data Science & AI
PermanentLondon
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AI Engineer
Up to £100,000 + benefits
Central London (Hybrid – 2-3 days per week in office)
You will be joining this company at an exciting time, as the company is growing it’s AI capabilities from the ground up. You’ll work on impactful AI solutions used across hundreds of locations and by thousands of customers, with full ownership of projects throughout the full process. This will be a hands-on role and requires someone who wants to make a real difference in consumer lives with AI.
The Company
This well-known organisation is undergoing a large digital transformation, investing heavily in AI to improve both internal operations and customer experience. With a newly formed digital leadership team, AI sits at the heart of the company’s long-term strategy, giving you the opportunity to deliver solutions that make a measurable impact at scale.
The Role
As an AI Engineer, you will design, build, and deploy end-to-end AI solutions. You’ll work closely with senior stakeholders, owning projects from discovery through to delivery, and helping translate complex AI concepts into clear, actionable outcomes.
Specifically, you can expect to be involved in the following:
- Build AI products end‑to‑end, from prototypes to production.
- Work with teams across the business to define problems, test ideas, and measure impact.
- Prepare data and develop models using both classical ML and generative AI.
- Integrate AI into digital products through services, APIs, and safe, compliant guardrails.
- Manage model life cycle and MLOps while sharing best practices and enabling colleagues.
Skills and Experience
The successful AI Engineer will have the following skills and experience:
- Strong Python and SQL experience, ideally with Databricks
- Experience with ML and LLM tools (e.g., scikit learn, XGBoost, PyTorch, TensorFlow, RAG, APIs)
- Comfortable with data engineering basics and MLOps practices
- Experience working with cloud platforms such as Azure, AWS, or GCP
Benefits
The successful Senior AI Engineer will receive the following benefits:
- Salary up to £100,000
- Performance-related bonus
- Hybrid working model
- Comprehensive benefits package including healthcare and pension
How To Apply
Please register your interest by sending your resume to Madison Barlow via the Apply link on this page.

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AI Full Stack Engineer
$220000 - $280000
+ Data Science & AI
PermanentUSA
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AI Full Stack Engineer
Remote (US Based)
$220,000-$280,000 Salary + Equity
About the Company
This client is a fast-growing, globally distributed AI technology organization building next-generation creative and simulation tools. Their mission is to remove barriers in digital creation by developing systems that let anyone produce rich content-across video, media, design, learning, and more. Their team blends engineering, research, and product innovation, operating in a deeply collaborative environment with a bias toward rapid experimentation and shipping ambitious ideas.
They’re looking for engineers who are energized by solving hard problems, excited about frontier AI applications, and eager to contribute to tools shaping the future of digital creation.
About the Role
As an AI Full Stack Engineer, you’ll build sophisticated, AI-driven content creation products end-to-end – from frontend experiences to backend systems powering real-time collaboration and advanced generative capabilities. You’ll work with a team that moves quickly, values ownership, and consistently takes on complex technical challenges.
You’ll collaborate across engineering, product, and research to design interfaces and features that bring cutting-edge AI models directly into the hands of creators.
What You’ll Work On
- Develop intuitive, multimedia-rich user interfaces for next-gen AI content tools
- Build full-stack features across frontend, backend, and API layers
- Integrate and deploy AI-powered capabilities (LLMs, generative models, video tools, conversational interfaces)
- Prototype rapidly and iterate based on user needs and product goals
- Improve performance, reliability, and code quality across multiple systems
- Collaborate closely with engineers pushing the limits of real-time, browser-based AI applications
What You Bring
- 5+ years of full-stack software engineering experience
- Strong with TypeScript (preferred) or JavaScript
- Strong experience with React
- Deep experience integrating AI APIs or building AI-powered products
- Experience designing production-ready systems and debugging performance issues
- Comfort building quickly, shipping fast, and iterating often
- A curious, open-minded approach and enthusiasm for working on emerging AI technologies
- Experience working in a fast-paced startup environment

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AI Engineer
London
£90000 - £100000
+ Data Science & AI
PermanentLondon
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AI Engineer
London
£90,000 – £100,000 + Bonus
The Role:
A well-known brand in the UK is building an AI team in 2026, starting with 4x AI Engineers (1x mid-level, 2x Snr AI Engineers and 1x Lead AI Engineer).
The scope of the role is extremely broad, offering the chance to come in and deliver impact all business areas.
With strong investment from the board and CEO, this team will utilise the latest techniques and innovation in AI to deliver value at a business-wide level.
With a far-reaching remit, it will be your role to identify new opportunities, scope out AI projects, and execute on your strategy.
You:
- Experience in delivering AI solutions within an organisation from beginning to end (full-stack)
- Technical experience across traditional data science and machine learning as well as AI
- Stakeholder management experience – utilising communication skills
- Innovation is a key part of this role
Salary:
In this role you can earn between £90,000 – £100,000 + benefits (including a 15% bonus OTE)
The Process:
1. Virtual Interview
2. Virtual (technical) interview
3. In-person interview
KEYWORDS
Data Scientist, Data Science, Machine Learning, Artificial Intelligence, AI, AI Engineer, LLM, RAG, Langchain.

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Lead AI Engineer
London
£130000 - £140000
+ Data Science & AI
PermanentLondon
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Lead AI Engineer
London
£130,000 – £140,000 + Bonus
The Role:
A well-known brand in the UK is building an AI team in 2026, starting with 4x AI Engineers (1x mid-level, 2x Snr AI Engineers and 1x Lead AI Engineer).
The scope of the role is extremely broad, offering the chance to come in and deliver impact all business areas.
With strong investment from the board and CEO, this team will utilise the latest techniques and innovation in AI to deliver value at a business-wide level.
You will be the voice for AI within the company and be responsible for helping to an AI strategy, identifying key projects to deliver significant value and impact.
NB: This role does not involve direct people management to begin with, but there will be opportunities (if wanted) as the team grows.
You:
- Experience in leading the delivery of AI solutions within an organisation from beginning to end
- Strong technical experience across traditional data science and machine learning as well as AI
- Stakeholder management experience – utilising communication skills
- Technical leadership within the (growing) team – mentoring junior members of the team
- Innovation is a key part of this role
Salary:
In this role you can earn between £130,000 – £140,000 + benefits (including a 20% bonus OTE)
The Process:
1. Virtual Interview
2. Virtual (technical) interview
3. In-person interview
KEYWORDS
Data Scientist, Data Science, Machine Learning, Artificial Intelligence, AI, AI Engineer, LLM, RAG, Langchain.

To Apply for this Job Click Here
AI Engineer
Dublin City Centre
€100000 - €120000
+ Data Science & AI
PermanentDublin City Centre, Dublin
To Apply for this Job Click Here
AI ENGINEER – DUBLIN – ONSITE
We are working with an early‑stage AI startup who recently closed a large pre‑seed round. This is a fast-paced start up environment.
Role:
- Lead backend + AI engineering with full ownership of features.
- Work with LLMs, agentic systems, telephony, and messaging integrations.
- Shape the technical direction in a fast‑moving, high‑impact environment.
Requirements:
- 5+ years experience
- Solid experience with AI/LLM systems.
- Proactive, clear communicator, comfortable with ambiguity.
- Experience in a product‑led tech company.

To Apply for this Job Click Here
Python Developer
Boston
$60 - $80
+ Data Science & AI
ContractBoston, Massachusetts
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Python Developer (DevOps)
Harnham, the leading recruitment specialist in Data and AI is currently partnering with a leading consultancy in the Boston area who are looking for Python Developers to work with one of their clients to support one of the most reputable brands in Big Tech build bleeding edge products.
- Role – Python Developer
- Location – North Boston (Hybrid)
- Pay – $60 – $80 per hour (W2 preferred)
- Length: Extendable 6 months initial contract
- Utilization: 40 hr/week
- Benefits:W2 employees are eligible to health, dental, vision, 401k benefits.
As a Python Developer in DevOps you will be embedded within one of the advance Software Engineering functions within the company building software to control efficiency-creating products to be used the world over. Your role will be to support the wider Software Engineering function including on building CI/CD pipelines & creating Python-based automation scripts from scratch.
Requirements:
- SDEII level of Python development skills
- Demonstrable history working within enterprise environments as a seasoned contractor
- Local to the Boston area
- Strong C/CD & IAC skills with Terraform
If this is the type of opportunity that would appeal to you, please apply below or contact Ciarán

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Sr. Generative AI Engineer
$85 - $115
+ Data Science & AI
ContractNew York
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Sr. Generative AI Engineer
Harnham, the leading recruitment specialist in Data and AI is supporting a nationally recognized Databricks consulting partner delivering enterprise-grade GenAI and LLM solutions to their clients.
They are in need of a Sr Gen AI Engineer who has at least 5 years of experience with Databricks and who is comfortable communicating with both technical and non-technical stakeholders.
The ideal hire does not necessarily need to come form a specific company or industry, however, *hands-on GenAI production experience (RAG, LLMs, or agentic frameworks)* is a MUST.
- Role – Sr. Gen AI Engineer
- Location – Remote – OR – Hybrid (2-3 days on-site) in Dallas, Texas
- Pay – $85-$115 per hour, dependent on experience and certifications
- Length: Extendable, 12 months initial contract
- Utilization: 40 hr/week
- Benefits: W2 employees are eligible to health, dental, vision, 401k benefits.
As a Sr Gen AI engineer, you will be a key player in driving project completion and working extensively with both Databricks and the end-client on your projects.
Key Responsibilities:
- Deliver end-to-end GenAI projects on the Databricks platform, from scoping through build and deployment.
- Develop RAG (Retrieval-Augmented Generation) and LLM-based applications that utilize enterprise data and knowledge repositories.
- Implement vector database solutions, integrate LangChain / agentic frameworks, and optimize LLM workflows.
- Support clients in bringing GenAI systems into production with best practices for MLOps, CI/CD, and data pipeline automation.
- Collaborate with data teams to design scalable architectures and advise on tooling, deployment, and governance.
- Provide mentorship to broader ML teams and help clients adopt Databricks-native GenAI solutions effectively.
Requirements:
- 5+ years of overall experience in AI/ML engineering or data systems.
- 1-2 years of proven, hands-on GenAI production experience (RAG, LLMs, or agentic frameworks).
- Strong Databricks expertise – all delivery occurs within the Databricks ecosystem (Spark, MLflow, Unity Catalog, etc.).
- Proficiency in Python, LangChain, OpenAI API, Hugging Face, and vector DBs such as FAISS, Pinecone, Weaviate, or Chroma.
- Strong grasp of cloud deployment (AWS, Azure, GCP) and DevOps pipelines (Git, Azure Pipelines, CI/CD).
- Excellent communication skills for client-facing consulting and delivery engagements.
- Preferred certifications: Databricks Associate/Professional ML Engineer, Databricks GenAI Engineer, or Databricks Data Engineer.
This is an excellent opportunity for someone who has designed, developed, and deployed generative AI solutions and wants to leverage that expertise as a hands-on consultant.
**WE WILL NOT BE UTILIZING THIRD PARTY AGENCIES FOR THIS ROLE**

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Backend Software Engineer (AI)
London
£450 - £550
+ Data Science & AI
ContractLondon
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Backend Software Engineer
£450 – £550 per day
2 days onsite
We’re working with a global healthcare and AI research organisation that’s pioneering the use of advanced Machine Learning to accelerate the discovery and delivery of life-changing treatments. Their vision is to enable faster, personalised therapies that improve patient outcomes worldwide – and they’re seeking a Backend Software Engineer to help bring that mission to life.
The Role
You’ll be joining a multidisciplinary AI/ML team responsible for developing the infrastructure and software that powers cutting-edge research and intelligent applications. The role focuses on backend development in Python, integrating AI components with data, compute, and frontend systems to create scalable, high-performance solutions.
Day-to-day responsibilities include:
-
Designing and implementing backend services for Python-based web applications (e.g., FastAPI).
-
Integrating AI and ML components into production systems and APIs.
-
Writing high-quality, well-tested, and well-documented code following best practices.
-
Developing and monitoring metrics to improve system reliability and performance.
-
Collaborating closely with frontend engineers, data engineers, and ML specialists to build end-to-end pipelines.
-
Participating in agile ceremonies and code reviews to uphold quality and delivery standards.
Tech Stack & Skills
Core skills:
-
Strong Python backend development experience (FastAPI or similar frameworks)
-
Cloud-native deployment experience (preferably Google Cloud and Cloud Run)
-
Unit testing experience (pytest or similar frameworks)
-
Familiarity with agile development and CI/CD processes
-
Strong understanding of Git/GitHub workflows and DevOps tooling
Nice to have:
-
Experience with Docker or multi-container application architecture
-
Familiarity with AI/ML technologies such as LLMs, NLP, LangGraph, PydanticAI, or AutoGen
-
Experience with biological or scientific datasets (genomics, proteomics, etc.)
-
Exposure to frontend development (React preferred)
-
Experience benchmarking and improving AI/ML models or agent-based systems
What You’ll Bring
-
A track record of delivering clean, production-grade backend systems
-
A collaborative and proactive approach to working in cross-functional teams
-
Passion for innovation and applying technology to advance scientific discovery
-
A growth mindset with a focus on continuous learning and improvement
Please send your CV

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With over 10 years experience working solely in the Data & AI sector our consultants are able to offer detailed insights into the industry.
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