2919 IT & Software Developer jobs in the UK

E.ON Next jobs

Agentic AI Engineer

£55,000 - 80,000
E.ON Next
Gibbet Hill Road, London
£55,000 - 80,000
Company Size icon
Company Size
5k+
Company Type icon
Company Type
Services
Exp Level icon
Exp Level
Regular
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- 2 years of experience in Software Engineering or ML Engineering, ideally with a specialised focus on building Generative AI products or agent-based systems. - Strong proficiency in Python and solid software engineering fundamentals. - Proven, hands-on experience building and deploying complex workflows using modern agentic frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen, or equivalent internal frameworks). - Practical experience in connecting agents and products to Retrieval-Augmented Generation (RAG) systems, understanding vector stores, chunking strategies, and retrieval performance. - Experience working directly with model APIs (e.g., OpenAI, Anthropic, Gemini, or internal endpoints) and managing model configuration. - Familiarity with the production deployment lifecycle, including Git, CI/CD pipelines, containerisation (Docker), and consuming microservices via REST/gRPC. - A strong passion for understanding end-user problems and designing AI solutions that are intuitive, reliable, and delightful to use. - The ability to understand the business context and define the success of an agent not just technically, but by its measurable impact on key business metrics. - Excellent analytical skills to debug complex, non-deterministic systems and iteratively drive towards predictable, high-quality output. - Effective collaboration skills to work across a cross-functional squad (Product, UX, Backend) and ability to clearly communicate technical tradeoffs and capabilities.

Responsibilities

- Design, build, and deploy multi-step, autonomous AI agents and workflows using the standardised frameworks provided by the central GenAI Platform Team. - Master the art of Prompt Engineering to define clear, deterministic, and self-correcting agent behaviour, optimising its reasoning, planning, and task execution for specific product use cases. - Develop custom tools, APIs, and functions that allow the agent to interact with external enterprise systems (CRM, ERP, databases, etc.) to achieve real-world goals. - Leverage and implement rigorous evaluation and testing pipelines from the GenAI platform to measure agent quality, reliability, factual accuracy, and alignment with user expectations. - Dive deep into agent logs, process traces, and memory states to diagnose failure modes and rapidly iterate on agent design and prompts to improve outcomes. - Work closely with the GenAI Platform Team to identify opportunities for leveraging platform features to meet product latency and cost targets. - Collaborate closely with the Product Manager and UX Designer to translate high-level user needs and business KPIs into concrete agent behaviours and technical specifications. - Act as the primary consumer of the internal GenAI Platform, providing critical feedback to the Platform Team on API usability, documentation, and missing capabilities. - Own the agents deployment process, monitoring, and operational excellence, ensuring the product is secure, stable, and compliant using the governance guardrails established by the Platform Team.

Description


We are seeking an Agentic AI Engineer to join our dedicated Product Squad as the technical owner of our end-user facing AI products. In this hybrid role, youll typically work one day per week at our Citigen office in London. You will focus on maximising product performance and leveraging the capabilities provided by our internal GenAI Platform Team. You will own the entire lifecycle of an AI agent, from prompt design to production deployment and monitoring, while collaborating closely with cross-functional teams to drive impact.
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You can find Machine Learning Engineer salaries in the UK here.

How many Machine Learning Engineer jobs are in the UK?

Currently, there are 2919 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.

Is the UK a good place for Machine Learning Engineers?

The UK is one of the best countries to work as a Machine Learning Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.

Which companies are hiring for Machine Learning Engineer jobs in the UK?

Bluefruit Software Limited, Mas & Pas Limited, Interface, Sellafield Ltd, Computershare, Eaton, Future Talent Learning among others, are currently hiring for ML, AI roles in the UK.

The company with most openings is Experis as they are hiring for 90 different Machine Learning Engineer jobs in the UK. They are probably quite committed to find good Machine Learning Engineers.