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Forward Deployed AI Engineer

Day rate: £700-£1,200 Outside IR35
Contract: Initial 12 months
Commitment: Approximately three days per week
Location: Two days per week onsite in London

Harnham is working with a leading private equity firm looking for a Forward Deployed AI Engineer to support businesses across its portfolio.

The portfolio is primarily made up of SMEs and scale-ups generating approximately £5m-£50m in annual revenue. These businesses operate across different sectors and have varying levels of technical maturity.

The role combines senior-level consulting with hands-on AI engineering. You will work directly with CEOs, boards and leadership teams to understand how their businesses operate, identify where AI can create genuine commercial value and then personally build and deploy the solutions.

The role

You will work across multiple portfolio companies, taking projects from initial discovery through to production delivery and adoption.

Responsibilities will include:

• Working directly with CEOs, boards and operational leaders.

• Understanding each company’s commercial priorities, processes, systems and constraints.

• Identifying bottlenecks, repetitive work and opportunities for AI or automation.

• Translating business problems into clear technical requirements.

• Prioritising use cases according to commercial value, feasibility, cost and risk.

• Determining whether the right answer is AI, conventional automation, an existing product or a wider process change.

• Designing, building and deploying production AI applications.

• Developing LLM applications, RAG solutions, agentic workflows and process automation.

• Integrating solutions with existing APIs, databases, CRMs, document stores and operational platforms.

• Introducing appropriate evaluation, monitoring, security and guardrails.

• Supporting user testing, training and adoption.

• Measuring the commercial and operational impact of each implementation.

• Documenting solutions and leaving portfolio companies with maintainable systems.

• Working alongside a Fractional Chief Data Officer where data quality, governance or architecture issues need to be addressed.

What we are looking for

The successful person will combine strong consulting skills with genuine technical depth.

You should have:

• Previous experience working with private equity firms or PE-backed portfolio companies.

• Experience delivering within SMEs or scale-ups generating approximately £5m-£50m in annual revenue.

• Experience working directly with CEOs, boards, founders or investment stakeholders.

• Strong commercial discovery and process-mapping experience.

• The ability to identify and prioritise use cases based on business value.

• Strong hands-on Python and software-engineering skills.

• Recent experience personally building and deploying production AI applications.

• Commercial experience with LLMs, RAG, agentic AI or AI-driven workflow automation.

• Experience integrating AI applications with existing business systems and APIs.

• Experience taking projects from discovery and architecture through to deployment and adoption.

• Knowledge of cloud deployment, application monitoring, evaluation, security and cost management.

• The ability to operate independently across businesses with different systems and levels of technical maturity.

• Strong communication and stakeholder-management skills.

The balance of the role

This is not purely an advisory position, but it is also broader than a traditional AI engineering role.

You will need to be comfortable leading conversations with CEOs and boards, challenging assumptions and recommending where investment should be focused. You must then be able to move into the technical delivery, write the code, build the integrations and take the solution into production.

The strongest candidates are likely to come from Forward Deployed Engineering, applied AI consulting, technical founder, fractional CTO or hands-on AI leadership backgrounds.

Expected outcomes

The successful person will help the portfolio companies achieve:

• A prioritised pipeline of commercially valuable AI opportunities.

• Faster movement from initial idea to production deployment.

• Reduced manual and repetitive work.

• Improved employee productivity and operational efficiency.

• Better customer, sales and internal processes.

• Measurable improvements in revenue, margin, efficiency or customer experience.

• Secure, maintainable AI applications that can be adopted by the business.

• A clearer understanding of where AI is valuable and where simpler solutions are more appropriate.

Working arrangement

This is an initial 12-month fractional engagement requiring approximately three days per week.

Candidates must be able to work onsite in London two days per week, with the remaining time worked remotely. Some travel to portfolio companies may occasionally be required.

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Lead AI Engineer

£95,000 – £115,000

King’s Cross, London (1-2 days a week in office)

This is an opportunity to lead the design, architecture, and delivery of production-grade AI systems that create measurable business impact. You will work on high-value initiatives, building scalable AI solutions that are embedded directly into core business processes rather than standalone prototypes.

THE COMPANY

They are a well-established organisation investing heavily in AI innovation to transform business operations and deliver long-term value. Their focus is on deploying practical, scalable AI solutions that support real workflows and business outcomes. You will join a technology-driven environment where engineering excellence, collaboration, and innovation are highly valued.

THE ROLE

As a Lead AI Engineer, you will

Specifically, you can expect to be involved in the following:

• Own the technical direction, architecture, and implementation of AI systems end-to-end.
• Design and build LLM-powered and agent-based solutions from concept through to production.
• Establish engineering standards, reusable patterns, and scalable frameworks across AI initiatives.
• Make key decisions on models, tooling, infrastructure, and system design.
• Ensure AI systems are robust, observable, secure, and production-ready through effective evaluation, monitoring, and guardrails.
• Provide technical leadership and guidance to engineers working on AI projects.

SKILLS AND EXPERIENCE

The successful Lead AI Engineer will have the following skills and experience:

• Strong commercial experience delivering production-grade AI systems from design through deployment.
• Deep expertise in Generative AI, Large Language Models (LLMs), orchestration, prompting, and evaluation.
• Experience building agentic or multi-step AI systems.
• Excellent software engineering fundamentals across APIs, system design, and cloud-based architecture.
• Ability to define technical direction and operate effectively in complex or evolving environments.
• Experience influencing engineering standards and best practices across multiple projects.
• Exposure to AI platforms, reusable frameworks, LLMOps/MLOps, or enterprise AI environments would be beneficial.

BENEFITS

The successful Lead AI Engineer will receive the following benefits:

• Salary between £95,000 – £115,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

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Senior AI Engineer

£75,000 – £95,000

King’s Cross, London (1-2 days a week in office)

This is an exciting opportunity for a Senior AI Engineer to play a key role in shaping how AI is embedded across a business. Rather than building standalone proofs of concept, you will develop production-grade AI solutions that directly support core business processes, delivering measurable value at scale.

THE COMPANY

They are a well-established organisation investing heavily in AI and advanced technology. With a focus on innovation, they are building scalable solutions that enhance operational efficiency and customer outcomes. Their environment combines strong engineering practices with the opportunity to work on high-impact AI initiatives. You will join a collaborative team where technical expertise and continuous improvement are highly valued.

THE ROLE

As a Senior AI Engineer, you will design and deliver production-ready AI solutions using LLMs and agentic systems, embedding AI into core business processes to drive measurable impact.

Specifically, you can expect to be involved in the following:

• Design and implement end-to-end AI systems that deliver business impact.
• Build and deploy LLM-powered and agent-based solutions from concept through to production.
• Contribute to technical architecture and engineering best practices.
• Develop reusable components, frameworks, and patterns across multiple AI use cases.
• Make informed decisions on models, tooling, infrastructure, and system design.
• Ensure AI solutions are scalable, observable, secure, and production-ready.
• Support evaluation, monitoring, and governance processes for deployed AI systems.
• Provide technical guidance and mentorship to engineers contributing to AI projects.

SKILLS AND EXPERIENCE

The successful Senior AI Engineer will have the following skills and experience:

• Strong commercial experience delivering production-grade AI systems.
• Expertise in generative AI, large language models, prompting, orchestration, and evaluation.
• Experience designing and implementing complex AI solutions across multiple domains.
• Knowledge of agentic AI systems and multi-step workflows.
• Strong software engineering fundamentals, including APIs, system design, and cloud-native architectures.
• Ability to solve problems in evolving and ambiguous environments.
• Experience influencing engineering standards and contributing to technical excellence.
• Exposure to AI platforms, reusable frameworks, LLMOps, or MLOps is advantageous.
• Experience working within enterprise or regulated environments would be beneficial.

BENEFITS

The successful Senior AI Engineer will receive the following benefits:

• Salary between £75,000 – £95,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead AI Engineer
London (Hybrid) | Up to £110,000 + 15% Bonus + Excellent Benefits
This is an opportunity to join a business investing heavily in AI and automation, where you will play a key role in shaping and delivering production-grade Generative AI solutions at scale. Working across high-impact initiatives, you will have the autonomy to influence technical strategy, own solution delivery, and drive measurable business outcomes.

The Company
They are a well-established, technology-driven organisation undergoing significant AI transformation. With strong executive sponsorship and a growing pipeline of AI initiatives, they are embedding AI into critical business processes to improve customer experience, operational efficiency, and decision-making.
You will join a newly established AI function within a wider engineering and MLOps environment, working alongside experienced engineers to deliver innovative, enterprise-scale AI products. The team operates in a fast-paced, collaborative setting where technical expertise and commercial impact are highly valued.

The Role
As a Lead AI Engineer, you will take ownership of the design, architecture, and delivery of AI solutions from concept through to production.
Responsibilities include:
* Leading the end-to-end delivery of Generative AI and agentic AI solutions
* Designing and building LLM-powered applications and intelligent automation tools
* Making key architecture, tooling, and platform decisions across multiple initiatives
* Evaluating build versus buy approaches and recommending scalable solutions
* Establishing engineering standards, reusable frameworks, and best practices
* Ensuring AI systems are production-ready through monitoring, evaluation, governance, and observability
* Working closely with engineering, security, data protection, and business stakeholders
* Providing technical leadership and mentoring across AI workstreams
* Driving AI initiatives that deliver measurable operational and commercial value

Your Skills & Experience
You will demonstrate strong commercial experience in:
* Delivering Generative AI solutions into production environments
* Leading AI projects end-to-end, from discovery through deployment
* Designing scalable AI architectures within enterprise environments
* Building LLM-powered applications, RAG solutions, and agent-based systems
* Software engineering fundamentals, including APIs, distributed systems, and cloud platforms
* Technical decision-making in fast-moving or ambiguous problem spaces
* Working within governance, security, and compliance frameworks
* Influencing stakeholders and communicating complex technical concepts clearly
Desirable experience includes:
* AWS cloud technologies
* MLOps or LLMOps practices
* Financial services or other regulated industries
* Building reusable AI platforms, frameworks, or internal products

What They Offer
* Salary up to £110,000
* 15% annual bonus
* Hybrid working with flexibility and a strong focus on outcomes
* Generous pension contribution
* Private medical cover
* Enhanced parental leave policies
* Holiday purchase scheme
* The opportunity to influence AI strategy across a growing function
* Exposure to a broad range of cutting-edge Generative AI use cases
* High visibility and genuine ownership of business-critical AI initiatives

How to Apply
If you are an experienced Lead AI Engineer with a proven track record of delivering production-grade Generative AI solutions, apply today to discuss this opportunity in more detail.

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Lead AI Engineer
This is an opportunity to join a growing AI function at a business investing heavily in artificial intelligence, automation, and digital transformation. You will play a key role in shaping technical direction, delivering production-grade AI solutions, and influencing how AI is embedded across a large, commercially focused organisation.

The Role
You will take ownership of AI initiatives from concept through to production, helping design and deliver solutions that solve real business challenges.
Responsibilities include:

• Leading the design and delivery of production-grade Generative AI and AI-powered solutions
• Owning architecture decisions across AI products and platforms
• Building and deploying LLM, RAG, and agentic AI systems at enterprise scale
• Evaluating build versus buy approaches and making pragmatic technology recommendations
• Working closely with engineering, security, governance, and business stakeholders
• Driving technical standards, best practices, and reusable AI frameworks
• Supporting and mentoring engineers across multiple workstreams
• Contributing to AI strategy and helping prioritise high-value use cases
• Ensuring solutions are scalable, secure, observable, and production-ready

Your Skills & Experience
You will bring:

• Strong commercial experience delivering Generative AI solutions into production
• Proven capability leading end-to-end AI projects from discovery through deployment
• Deep understanding of LLMs, RAG architectures, agentic AI, orchestration, prompting, and evaluation
• Strong software engineering foundations, including APIs, cloud architectures, and system design
• Experience making architecture and technology decisions within complex environments
• Ability to operate effectively in ambiguous and rapidly evolving problem spaces
• Experience collaborating with security, governance, compliance, and data protection teams
• Strong communication skills with the ability to engage technical and non-technical stakeholders
• Experience within enterprise-scale organisations, ideally in regulated environments
• Exposure to AWS and modern AI engineering practices is highly desirable

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Senior Data Scientist – Leicester or London 1 day a week

We are currently supporting a large insurance company on a Senior Data Science role to sit within their pricing team. This role will challenge core pricing functions and create innovative ways to produce new pricing models using larger and more complex data sources to deliver more competitive pricing and better customer accessibility. It’s a small, fast‑paced team (6 people) working on more experimental and forward‑thinking pricing approaches.

Some of the exciting work includes:

• Alternative pricing models
• Footprint modelling / Geospatial modelling
• Residual modelling to identify gaps between predicted vs. actual claim costs
• Working with large, messy insurance datasets across multiple product lines
• Tools & tech: Python, SQL, AzureML, XGBoost
• Opportunity to mentor within the team

To Apply for this Job Click Here

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Senior Data Scientist / Credit Risk Analyst
Remote (UK)
£70,000 – £85,000

Join a growing fintech using data, AI and analytics to transform the payments space. This is a high-impact role offering exposure to credit risk, fraud, machine learning and commercial strategy, with direct access to senior leadership.

The Company
A venture-backed fintech in the payments space. They combine advanced analytics, machine learning and alternative data sources to help customers make smarter, faster risk decisions.

The Role

• Build and improve credit risk, fraud and pricing models
• Use analytics to inform strategy, limit optimisation and decisioning
• Develop machine learning solutions and predictive models
• Monitor portfolio performance and identify emerging risks
• Work with customers and partners to solve complex risk challenges
• Collaborate closely with founders and senior stakeholders

Your Skills & Experience

• Strong commercial experience in Credit Risk, Fraud Analytics or Data Science
• Python and SQL expertise
• Experience building predictive models and delivering business insights
• Background in fintech, financial services, payments, lending or consulting
• Strong communication and stakeholder management skills
• UK market experience

What They Offer

• £70,000 – £85,000 base salary
• Equity package
• Private medical insurance, including family cover
• Pension scheme
• Fully remote working
• International company offsites twice a year
• Excellent career growth within a scaling business

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Senior AI Engineer
London (Hybrid)

A fantastic opportunity to join a world leading media company within a newly established AI Lab focused on building innovative Generative AI products. You’ll work in a small, high-impact team developing production-grade LLM applications that influence how users interact with content across text, audio, and emerging multimodal experiences.

The Company
A globally recognised organisation with a large international audience is investing heavily in AI innovation. Their dedicated AI Lab is exploring the future of AI-powered products, combining cutting-edge technology with real-world user impact. This is an opportunity to help shape the direction of a fast-growing function from an early stage.

The Role
You will:

• Build and fine-tune LLM-powered applications and services
• Develop and optimise RAG pipelines
• Deliver style and tone modelling solutions to improve LLM outputs
• Support personalisation, summarisation, and real-time generation initiatives
• Work closely with product, engineering, and business stakeholders
• Contribute to multimodal and audio-focused AI projects
• Help define evaluation frameworks and model quality standards

Your Skills & Experience

• Strong commercial experience building AI, NLP, or LLM-based products
• Hands-on experience with modern foundation models and AI frameworks
• Experience with fine-tuning, prompt engineering, or instruction tuning
• Strong Python engineering skills
• Experience evaluating and improving model performance
• Excellent communication skills and ability to work with non-technical stakeholders
• Experimental mindset and a passion for building high-quality AI products

Desirable experience includes speech technologies, generative audio, multimodal AI, or content-focused AI applications.

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Senior Machine Learning Scientist – REMOTE

This is an opportunity to join a high-growth AI SaaS business using NLP and GenAI to transform unstructured customer feedback into actionable business insights. You’ll work at the intersection of Machine Learning research and production, developing models that directly influence customer experience and commercial outcomes.

The Company
They are an AI-focused technology company helping organisations unlock value from large-scale customer feedback data. With strong growth, expanding enterprise clients, and significant investment in AI, they are building innovative NLP and LLM-powered products that drive measurable business impact.

The Role
You will develop and deploy advanced NLP and GenAI solutions across the full ML lifecycle.
Key responsibilities:

• Build and improve models for information extraction, retrieval, re-ranking, and sentiment analysis.
• Fine-tune language models and optimise LLM performance.
• Design and evaluate experiments to improve product outcomes.
• Develop production-ready machine learning solutions.
• Work with agentic AI systems and modern NLP architectures.
• Collaborate closely with Product, Engineering, and senior stakeholders.

Your Skills & Experience

• Strong commercial experience in Machine Learning and NLP.
• Hands-on experience fine-tuning language models and working with LLMs.
• Knowledge of GenAI and agentic AI patterns.
• Experience working with large, complex datasets.
• Understanding of model deployment and productionisation.
• Strong communication and stakeholder management skills.
• A practical approach to solving real-world business problems.

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