Forward Deployed AI Engineer

Salary: £44,000 - 84,000 per year

Requirements:

• We are looking for 5–10 years of relevant experience in AI Engineering, Machine Learning, Software Engineering, Data Engineering, or technical consulting.
• We require hands-on experience delivering AI, GenAI, or software solutions into production.
• We expect experience working directly with clients or in complex stakeholder environments.
• We want evidence of turning complex use cases into adopted, measurable solutions.
• We require a degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field, or equivalent practical experience.
• We need the ability to work effectively in multidisciplinary environments.
• We require professional proficiency in English.
• We are looking for strong Python development skills, API integration experience, and modern software-engineering practices.
• We require hands-on experience with Large Language Models, GenAI architectures, prompt workflows, and model/provider selection.
• We want experience with RAG, embeddings, vector search, AI agents, and agentic workflows.
• We need familiarity with frameworks such as LangChain, LlamaIndex, LangGraph, Semantic Kernel, AutoGen, or comparable tools.
• We require experience integrating AI into enterprise systems, APIs, and business workflows.
• We want experience with at least one major cloud platform: Azure, AWS, or GCP.
• We require working knowledge of Docker, Git, CI/CD, production deployment, monitoring, and evaluation.
• We need an understanding of MLOps / LLMOps, security, data privacy, governance, and Responsible AI principles.
• Experience in consulting or client-facing environments is nice to have.
• Experience with multimodal models, fine-tuning, model adaptation, or open-source LLMs is nice to have.
• Front-end or full-stack development experience, for example Node.js or React, is nice to have.
• Consulting or professional-services experience is nice to have.
• Exposure to regulated industries or enterprise governance requirements is nice to have.

Responsibilities:

• We co-create solutions with business and technical stakeholders through workshops, rapid iterations, and hands-on delivery.
• We locate, qualify, and secure access to the data required for each use case, working directly with Data Engineers.
• We translate use cases into production-ready GenAI and agentic AI solutions, including RAG architectures, intelligent assistants, and AI-enabled workflows.
• We prototype, test, deploy, monitor, and improve solutions in real client environments using feedback from users and domain experts.
• We work with Data Engineers, Software Engineers, Foundations Architects, Governance experts, Business Value Advisors, and Service Delivery Managers to deliver sustainable outcomes.
• We balance speed, quality, cost, security, and maintainability while making clear technical and delivery trade-offs.
• We define success criteria from the outset, including adoption, performance, reliability, risk, cost, and measurable business value.
• We ensure solutions are documented, governed, and transferable so clients can operate them with confidence.
• We turn successful delivery into reusable patterns, accelerators, and building blocks that strengthen future engagements.

Technologies:

• Agentic AI
• AI
• AI Agents
• API
• AWS
• Azure
• CI/CD
• Cloud
• Docker
• Fine-tuning
• GCP
• Git
• Machine Learning
• MLOps
• Python
• RAG
• React
• Security
• NodeJS
• Architect
• Embedded
• Support

More:

We are Keyrus, an international group of 2,800 consultants and experts across 28 countries, building the data foundations that make intelligent systems work and operationalising intelligence for the intelligent enterprise. This role is for a Forward Deployed AI Engineer based in London, UK, working in a flexible hybrid model on a full-time employee contract, with a target start date of September 2026 and compensation of £87k–£105k per year. We offer competitive holiday allowance, private medical and dental insurance, group life insurance, gym and fitness discounts, on-site gym access at our London office, lifestyle discounts, an auto-enrolment pension scheme, training and development through KLX, strong career development and internal mobility, an electric and hybrid car scheme, an annual discretionary bonus, and a referral bonus. We are committed to responsible AI, inclusive hiring, and an equal opportunity workplace.

last updated 34 week of 2026