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Senior AI Engineer

London (Hybrid) | Up to £120,000 + Benefits

Join a newly formed AI Lab focused on building the next generation of AI-powered products. This is a highly hands-on role where you’ll work on LLMs, RAG systems, generative audio, and greenfield AI initiatives within a small, high-impact team.

The Company
A global information and media organisation operating across 170+ countries. Their dedicated AI team is exploring how Generative AI can transform content, research, and user experiences through innovative products and experimentation.

The Role

• Build and fine-tune LLM-powered applications
• Develop RAG and retrieval workflows
• Work on style, tone, and content modelling
• Contribute to speech processing and generative audio projects
• Improve existing AI agents and develop new AI products
• Collaborate with engineering, product, and business stakeholders
• Help shape technical architecture while remaining hands-on

Your Skills & Experience

• Strong commercial experience building production AI systems
• Hands-on experience with LLMs, fine-tuning, NLP, and RAG
• Software engineering and system design expertise
• Experience working with content-focused AI applications
• Strong communication skills and stakeholder management
• Experimental mindset with a passion for AI innovation
• Exposure to speech, audio, or voice AI is a bonus

What They Offer

• Up to £120,000 base salary
• Hybrid working model
• Opportunity to join a high-profile AI initiative at an early stage
• Significant ownership and technical influence
• Clear progression within a growing AI function

Interview Process

1. Talent screening
2. Interview with the VP of AI
3. Technical take-home task
4. Technical review
5. Stakeholder interview

How to Apply
If you’re passionate about LLMs, Generative AI, and building production AI products, apply now to learn more.

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AI Engineer
London (Hybrid, 2-3 days onsite)

Join a growing AI team building production-grade GenAI products that deliver real business impact. This is an opportunity to own projects end-to-end, from concept through to deployment, while helping shape the future direction of AI-powered solutions.

The Company
They are a global professional services organisation investing heavily in AI innovation. Their focus is on delivering scalable, customer-facing AI products, with particular emphasis on GenAI, document processing and agentic AI applications. The environment is collaborative, hands-on and product-focused.

The Role

• Build and deploy AI-powered product features into production.
• Develop GenAI and agentic AI applications.
• Create scalable solutions for document and text-processing challenges.
• Contribute to system design, deployment and engineering best practices.
• Work across the full product lifecycle, from proof of concept to release.

Your Skills & Experience

• Strong commercial experience delivering AI products into production.
• Excellent software engineering foundations, ideally with full stack exposure.
• Strong Python skills.
• Experience with GenAI, agentic frameworks and document-processing use cases.
• Hands-on experience with Docker and CI/CD.
• Ability to demonstrate ownership and measurable project impact.
• TypeScript, Kubernetes, Azure or Node.js experience is advantageous.

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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.

To Apply for this Job Click Here

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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

Senior AI Engineer

£90,000 – £120,000

London (3 days a week in office)

This is an exciting opportunity to join a newly established AI innovation team at a globally recognised organisation. You will help shape the future of AI-powered products, working on cutting-edge generative AI applications that move rapidly from concept to production. The role offers significant visibility, real impact, and the chance to influence how AI is used at scale.

THE COMPANY

They are a well-established international organisation with a strong reputation for delivering trusted products and services to a global audience. Operating across multiple markets, they are investing heavily in AI innovation and building a dedicated team focused on exploring the next generation of intelligent products. Their environment combines technical excellence, experimentation, and a commitment to responsible AI development.

THE ROLE

As a Senior AI Engineer you will join a high-impact AI team focused on developing and deploying advanced generative AI solutions.

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

• Building and deploying LLM-powered applications from prototype through to production
• Fine-tuning large language models for specific use cases and content requirements
• Designing, curating, and managing datasets for model training and evaluation
• Developing and optimising Retrieval-Augmented Generation (RAG) pipelines
• Creating evaluation frameworks and quality metrics for AI model performance
• Implementing human-in-the-loop feedback systems to improve outputs
• Supporting AI-driven features such as summarisation, personalisation, and real-time content generation
• Exploring speech and audio technologies, including text-to-speech solutions
• Collaborating closely with product, engineering, and design teams to deliver innovative AI experiences
• Contributing to experiments involving multimodal AI across text, image, and audio

SKILLS AND EXPERIENCE

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

• Strong commercial experience building LLM or NLP-based systems
• Hands-on experience with platforms such as OpenAI, Claude, Gemini, Cohere, Mistral, or Hugging Face
• Expertise in fine-tuning techniques, including supervised fine-tuning and prompt optimisation
• Strong understanding of RLHF, RLAIF, and preference modelling approaches
• Advanced Python development skills
• Experience with tools and frameworks such as LangChain and Hugging Face Transformers
• Familiarity with data tooling including Pandas, DVC, and Weights & Biases
• Experience evaluating model performance using both quantitative and qualitative metrics
• Knowledge of speech technologies, including speech-to-text and text-to-speech solutions
• Strong communication and stakeholder management skills
• Comfortable working in a fast-paced, experimental environment

BENEFITS

The successful Senior AI Engineer will receive the following benefits:

• Salary between £90,000 – £120,000 – 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

AI Engineer / AI Strategy Specialist

Amsterdam (Hybrid) | Up to €70,000 + Benefits
This is an opportunity to work at the intersection of AI strategy, consulting, and hands-on engineering. You will help organisations unlock value from Large Language Models and modern AI technologies while playing a key role in the growth of an ambitious AI consultancy in the Netherlands.

The Company
They are a specialist AI consultancy focused on helping organisations redesign processes, implement intelligent automation, and create measurable business value through AI. Working across a variety of industries, they deliver end-to-end AI solutions that combine strategic guidance with technical expertise. Their culture is collaborative, innovative, and centred on continuous learning. As they continue to grow, they are looking for an AI Engineer / AI Strategy Specialist to help drive client success and shape their future capabilities.

The Role
You will combine strategy, architecture, and technical delivery to support AI transformation initiatives.
Responsibilities include:

• Developing AI transformation roadmaps aligned to business objectives and high-value use cases
• Translating business challenges into scalable AI solutions
• Advising stakeholders on AI architecture, model selection, tooling, and implementation approaches
• Designing, testing, and deploying Large Language Model solutions
• Leading end-to-end AI projects from discovery through delivery and adoption
• Integrating AI models into existing business systems and workflows
• Monitoring and optimising model performance through continuous evaluation and iteration
• Supporting AI teams and promoting best practices across projects
• Collaborating with software engineering, data science, and product teams
• Contributing to the development of internal AI tools, frameworks, and methodologies

Your Skills & Experience

• Strong technical expertise in AI, Large Language Models, RAG solutions, and modern AI frameworks
• Deep understanding of AI architecture beyond prompt engineering
• Commercial experience with Python and cloud platforms such as Azure
• Experience working with Git-based development workflows
• Proven capability leading complex AI implementations and technical teams
• Strong stakeholder management skills with the ability to communicate technical concepts to non-technical audiences
• Fluent Dutch language skills
• Experience building or contributing to AI-powered applications and solutions

Desirable:

• Experience with agent frameworks, MLOps, data modelling, or machine learning techniques
• Background in AI, Computer Science, Data Science, or equivalent practical experience
• Experience delivering solutions within consulting or enterprise environments

What They Offer

• Salary up to €70,000
• Hybrid working environment
• Opportunity to work on impactful AI transformation programmes
• Access to the latest AI tools, frameworks, and technologies
• Strong learning and development opportunities
• Exposure to a broad range of industries and business challenges
• Clear progression opportunities within a growing organisation
• Competitive benefits package, including potential equity participation

How to Apply
If you are passionate about AI strategy, Large Language Models, and delivering real-world AI solutions, apply today to learn more about this opportunity.

To Apply for this Job Click Here

To Apply for this Job Click Here

AI Engineer
Amsterdam | €60,000 – €85,000 incl. 8% Holiday Allowance

This is an exciting opportunity for a curious and ambitious AI Engineer to help transform a customer journey through practical AI applications. You’ll work across product, technology, and operations, applying AI to real business challenges while developing your skills in a fast-growing environment.

The Company
They are a technology-led financial services business with a strong focus on innovation, customer experience, and automation. Their mission is to simplify complex customer processes through smart technology and data-driven decision-making. AI is becoming a core part of their product strategy, creating an opportunity to influence how customers and internal teams interact with key services. You will join a collaborative team where learning, experimentation, and ownership are highly valued.

The Role
As an AI Engineer, you will design, develop, and improve AI-powered solutions that enhance both customer and employee experiences.

Key responsibilities include:
* Designing and implementing AI-driven applications, workflows, and product features
* Translating business challenges into practical AI solutions
* Integrating LLMs, APIs, and AI services into existing systems and processes
* Creating evaluation frameworks, test datasets, and quality metrics for AI products
* Monitoring AI performance and identifying opportunities for continuous improvement
* Analysing user feedback, product metrics, and production data to optimise solutions
* Collaborating closely with software engineers, domain experts, and compliance stakeholders
* Supporting software development activities when required across front-end and back-end environments
* Contributing to the long-term AI strategy and product roadmap

Your Skills & Experience
* Strong analytical and problem-solving capabilities
* Fluency in Dutch, both written and spoken
* Ability to quickly learn and understand complex business domains
* Affinity with technology, software development, and AI applications
* Experience in a technical, analytical, product, or business-focused role
* Excellent communication skills and the ability to work with both technical and non-technical stakeholders
* Interest in AI technologies, LLMs, and emerging AI products

Beneficial experience includes:
* Python, TypeScript, or other programming languages
* LLM applications and prompt engineering
* Agentic workflows, RAG, orchestration frameworks, or AI tooling
* API integrations
* Product experimentation, evaluation frameworks, and quality measurement
* Monitoring, analytics, and observability tools
* Experience within financial services environments

What They Offer
* Salary of €60,000 – €85,000 inclusive of holiday allowance
* Permanent full-time position
* Hybrid working environment based in Amsterdam
* Opportunity to work directly on customer-facing AI products
* Strong exposure to AI, product development, and software engineering
* Significant learning and career development opportunities
* Direct collaboration with experienced founders and cross-functional teams

How to Apply
If you’re excited about applying AI to real business problems and want to build impactful products in a collaborative environment, apply today to learn more about this opportunity.

To Apply for this Job Click Here

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AI/ML Engineer

Amsterdam (3 days per week in office) | €75,000 including holiday allowance
This is an opportunity to join a forward-thinking organisation investing heavily in AI and machine learning to deliver real business impact. You’ll play a key role in taking AI solutions from concept through to production, working on cutting-edge technologies and helping shape the future of AI-enabled products.

The Company
They are a well-established organisation with a strong focus on digital innovation and technology-driven transformation. AI and data are central to their strategy, with a growing portfolio of customer-facing and internal AI solutions. The business offers a collaborative environment where engineers can work closely with product, data, and technology teams to deliver measurable value. They are committed to building scalable, secure, and production-ready AI capabilities across the organisation.

The Role
You will:

• Design, build, and scale AI-powered solutions that deliver measurable business value.
• Develop and maintain Python-based backend services and APIs for AI-enabled products.
• Build and optimise AI assistant workflows using modern orchestration frameworks and LLM technologies.
• Translate business requirements into production-ready AI services and applications.
• Collaborate with data teams to access, transform, and leverage enterprise data effectively.
• Integrate AI capabilities into broader digital products and business workflows.
• Create reusable tools, services, and engineering patterns to accelerate future AI initiatives.
• Implement automated testing and quality assurance practices for AI solutions.
• Contribute to CI/CD processes, containerised deployments, and operational readiness.
• Ensure security, privacy, and responsible AI standards are embedded throughout the development lifecycle.

Your Skills & Experience

• Strong commercial experience developing production-grade applications in Python.
• Experience building APIs, backend services, and scalable software solutions.
• Hands-on experience with LLMs, AI assistants, and agent-based workflows.
• Knowledge of tools such as FastAPI, Pydantic, LangChain, LangGraph, and OpenAI APIs.
• Experience working with SQL, data pipelines, and modern data platforms.
• Understanding of automated testing frameworks and AI evaluation approaches.
• Familiarity with Docker, CI/CD pipelines, cloud environments, and DevOps practices.
• Strong stakeholder communication skills and the ability to work across multidisciplinary teams.
• Passion for building reliable, maintainable, and impactful AI products.

What They Offer

• Salary of €75,000 including holiday allowance.
• Hybrid working model with 3 days per week in the Amsterdam office.
• Opportunity to work on high-impact AI and machine learning initiatives.
• Exposure to modern AI tooling, cloud technologies, and large-scale products.
• A collaborative environment with strong opportunities for learning and career progression.
• The chance to influence the direction of AI engineering within a growing capability.

How to Apply
If you’re an AI/ML Engineer looking to build production-ready AI products and work on impactful machine learning solutions, apply today to find out more.

To Apply for this Job Click Here

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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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