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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Connect with Us
Discover how our tailored AI recruitment and data talent solutions can empower your business to lead in the AI revolution.Â
Contact us today to start a conversation about your data talent needs and how we can help you achieve your strategic objectives.
JOBS
LATEST AI engineering
JOBS
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Sr. Generative AI Engineer
$85 - $125
+ Data Science & AI
ContractTexas
To Apply for this Job Click Here
Senior Gen AI Engineer
Harnham, a leading recruitment specialist in Data and AI, is partnering with a Databricks consulting firm that delivers enterprise-grade GenAI and LLM solutions for end clients. They are seeking a Senior Gen AI Engineer with at least five years of Databricks experience and the ability to communicate confidently with both technical and non-technical stakeholders. The ideal candidate does not need to come from a specific industry, but must have hands-on production experience with GenAI applications, including RAG systems, LLM development, or agentic frameworks.
This role can be performed remotely or in a hybrid capacity from Dallas, Texas (2-3 days onsite). It is a 12-month contract with strong potential for extension, offering $85-$125 per hour for 40 hours per week. W2 employees are eligible for health, dental, vision, and 401(k) benefits.
As a Senior Gen AI Engineer, you will drive end-to-end delivery of GenAI projects within the Databricks ecosystem, working closely with both Databricks teams and end clients. Responsibilities include scoping, building, and deploying GenAI solutions; developing RAG and LLM-based applications that leverage enterprise data; integrating vector databases and agentic frameworks such as LangChain; and optimizing LLM workflows for production. You will help clients productionize GenAI systems using best practices in MLOps, CI/CD, and data pipeline automation, while collaborating with broader data teams on architecture, tooling, and governance. This role also includes providing mentorship and helping clients adopt Databricks-native GenAI capabilities effectively.
Qualified candidates will have 5+ years of experience in AI/ML engineering or data systems, including at least 1-2 years of hands-on GenAI production work. Strong Databricks proficiency is essential, including Spark, MLflow, and Unity Catalog. Candidates should also be skilled in Python, LangChain, OpenAI APIs, Hugging Face, and vector databases such as FAISS, Pinecone, Weaviate, or Chroma. A solid understanding of cloud platforms (AWS, Azure, or GCP) and DevOps tooling is required, along with excellent communication skills for client-facing delivery. Preferred certifications include Databricks ML Engineer, Databricks GenAI Engineer, or Databricks Data Engineer.
This opportunity is ideal for someone who has successfully designed, built, and deployed generative AI solutions and wants to apply that expertise in a hands-on consulting environment.

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Senior Ai Engineer
London
£500 - £800
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Senior AI Engineer (Customer & Product AI)
London
Contract
Competitive day rate
2 day per week onsite (preferred)
IR35 determination in progress
Overview
We are partnering with a major consumer brand that is scaling AI across multiple markets to improve customer experience, unlock growth, and drive operational efficiency. They are building a central AI team focused on designing, building, and deploying production-grade AI solutions across the business.
They are looking for a Senior AI Engineer to lead the delivery of end-to-end AI products, working across software engineering, machine learning, and LLM-based systems. This is a hands-on role focused on shipping real solutions into production that directly impact customers, teams, and commercial outcomes.
The Role
You will join a cross-functional AI function working at the intersection of software engineering, data, and machine learning. Your focus will be on turning business problems into production-ready AI systems, from early discovery through to deployment, monitoring, and continuous improvement.
You will work closely with teams across marketing, digital, operations, and product to design and deliver AI-powered features such as personalisation, prediction models, and AI assistants. You will be expected to take ownership of delivery, make pragmatic architectural decisions, and help shape engineering standards across the team.
Key Responsibilities
* Act as a hands-on builder and technical owner of AI-powered products and features from concept through to production
* Design and deploy end-to-end AI solutions spanning data preparation, modelling, APIs, and production integration
* Build and optimise ML and LLM-driven services, including prediction models, personalisation, and retrieval-augmented systems
* Collaborate with business stakeholders to frame problems, define success metrics, and deliver measurable outcomes
* Develop services, APIs, and integrations that embed AI into customer journeys, internal tools, and digital platforms
* Own model lifecycle processes including deployment, monitoring, evaluation, and retraining
* Implement robust MLOps practices to ensure reliability, performance, and scalability
* Mentor engineers and contribute to shared tooling, reusable patterns, and engineering standards
Required Experience
* Strong software engineering background with Python and SQL
* Proven experience delivering end-to-end ML or AI solutions into production environments
* Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn
* Experience working with LLMs, including prompt design, RAG, or fine-tuning
* Experience building APIs and integrating AI systems into real products
* Solid understanding of data pipelines, feature engineering, and model evaluation
* Experience working with cloud platforms such as Azure, AWS, or GCP
Nice to Have
* Experience in customer analytics, personalisation, recommendation systems, or marketing optimisation
* Familiarity with Databricks or modern data platform tooling
* Experience building conversational AI or internal AI assistants
* Exposure to experimentation frameworks such as A/B testing
* Experience working in cross-functional product teams
Why Apply
* Build AI products that are used in the real world at scale
* Work across a broad range of use cases spanning customer experience, operations, and digital platforms
* Join a growing, central AI function with strong executive backing
* Opportunity to shape architecture, standards, and long-term AI capability

To Apply for this Job Click Here
Senior AI Engineer
London
£120000 - £121000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior AI Engineer
Up to £120,000 + benefits
Central London (Hybrid – 2-3 days per week in office)
You will be joining this company at a time where it 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 a Senior AI Engineer, you will own the delivery of end‑to‑end AI solutions, sitting at the intersection of software engineering and data science. You’ll work closely with teams across the business to turn problems into working, measurable AI products that deliver real value.
Specifically, you can expect to be involved in the following:
- Designing, building, and running AI solutions
- Combining software engineering, data engineering, and machine learning / LLM skills to deliver robust AI products
- Leading medium to large AI initiatives independently, making technical decisions and trade‑offs
- Working closely with stakeholders
- Building reusable AI components, services, and APIs aligned with existing platforms
- Running experiments, pilots, and A/B tests to validate ideas before scaling
- Mentoring engineers and data scientists
Skills and Experience
The successful AI Engineer will have the following skills and experience:
- 8+ years experience in AI, machine learning, data science, or software engineering roles
- Proven experience delivering end‑to‑end AI/ML solutions in production
- Strong programming skills in Python and SQL
- Experience with classical machine learning and LLMs / generative AI (prompting, RAG, APIs)
- Solid software engineering fundamentals
- Experience working with cloud platforms
Benefits
The successful Senior AI Engineer will receive the following benefits:
- Salary up to £120,000
- 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.

To Apply for this Job Click Here
Senior Machine Learning Engineer – Applied ML Platform – Fully Remote
$180000 - $200000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
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
To Apply for this Job Click Here
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.

To Apply for this Job Click Here
AI Full Stack Engineer
$220000 - $280000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
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
To Apply for this Job Click Here
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.

To Apply for this Job Click Here
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
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News & Blog
With over 10 years experience working solely in the Data & AI sector our consultants are able to offer detailed insights into the industry.
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