3506 IT & Software Developer jobs in the UK
Requirements
Must:
- Strong hands-on experience with modern cloud data and AI platforms, including AI agent tooling, analytics platforms, and semantic layers
- Strong stakeholder engagement experience with the ability to translate complex requirements to the board and senior team members
- Proven ability to design analytics-ready data models and metrics layers
- Practical experience with large language models (LLMs), prompt engineering, and Retrieval-Augmented Generation (RAG) architectures
- Proficiency in Python (data manipulation, API interaction) and SQL data modelling
- Experience working with REST APIs and integrating multiple business systems
- Ability to clearly explain complex AI concepts to non-technical stakeholders and translate feedback into production-quality solutions
Responsibilities
- Design, build, and deploy low-code and pro-code AI agents to automate business workflows (e.g. HR queries, IT support, operational data retrieval)
- Develop custom Retrieval-Augmented Generation (RAG) solutions to enable large language models to reason over proprietary documents and data
- Integrate AI agents with enterprise systems (e.g. CRM, collaboration tools, operational platforms) via APIs and automation connectors
- Own the creation and maintenance of AI semantic workspaces, translating complex database schemas into business-friendly models
- Define and govern standard metrics, dimensions, and synonyms to ensure AI systems speak the language of the business
- Continuously monitor AI answer quality, using human feedback to refine semantic models and improve accuracy over time
- Partner with business stakeholders across finance, operations, and commercial teams to translate high-level use cases into technical requirements
- Rapidly prototype AI solutions to demonstrate value and accelerate adoption
- Act as a technical evangelist, enabling non-technical users to interact effectively with AI tools and insights
- Implement monitoring frameworks to track cost, latency, and quality of AI outputs
- Ensure AI solutions comply with organisational data governance and security standards, including preventing data leakage via LLMs
- Manage the full lifecycle of AI models and agents from development through production and retirement
Description
Choosing to work with us means choosing to make a difference. We are changing how businesses and consumers use energy for the better, helping to achieve a greener, more sustainable, and more affordable energy system for everyone. Through a range of innovative energy solutions, we are delivering the future of smart energy and working closely with private and public sector partners to play a critical role in transforming and decarbonising the UK economy by 2050. This role offers a competitive salary of £60-70k, plus a variety of benefits including 25 personal holiday days per year (increasing to 30 after 5 years) and enhanced maternity and paternity leave.
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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 3506 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?
City of Lincoln Council, Bluefruit Software Limited, Openda Ltd, The Scouts Association, National Highways, Wren, xn global systems ltd among others, are currently hiring for ML, AI roles in the UK.
The company with most openings is Experis as they are hiring for 92 different Machine Learning Engineer jobs in the UK. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is Experis as they are hiring for 92 different Machine Learning Engineer jobs in the UK. They are probably quite committed to find good Machine Learning Engineers.