2949 IT & Software Developer jobs in the UK
Requirements
Must:
- Experience applying AI governance, model risk or responsible AI controls within technology or data-driven programmes.
- Experience operating within regulated or compliance-sensitive environments.
- Working knowledge of machine learning pipelines, data governance practices and model monitoring concepts.
- Experience translating regulatory, policy or risk requirements into practical controls within AI or digital solutions.
- Ability to engage and influence technical and non-technical stakeholders within cross-functional delivery teams.
- Experience developing governance frameworks for emerging technologies such as advanced machine learning or agentic automation systems. (Desirable)
- Experience operating within multi-supplier or multi-organisation delivery environments. (Desirable)
- Familiarity with rail industry risk, assurance or safety governance processes. (Desirable)
- Exposure to model monitoring, lifecycle management or Machine Learning Operations practices. (Desirable)
Responsibilities
- Responsible AI governance across defined processes to support the safe, ethical and regulatory-aligned deployment of AI and automation solutions.
- Define and embed AI governance principles, risk controls and assurance frameworks across the programme to support consistent and responsible AI deployment.
- Review and challenge AI and automation solutions against regulatory expectations, including data privacy, security, explainability, bias mitigation and safe operation.
- Identify, assess and manage risks specific to AI systems, including model reliability, agentic behaviour constraints, data usage and ethical considerations.
- Direct the development and maintenance of comprehensive governance artefacts including model risk assessments, data handling controls, audit mechanisms, monitoring frameworks and exception management processes.
- Shape governance approaches for machine learning and agentic automation systems to support responsible experimentation and controlled deployment.
- Work in close partnership and collaborate with the AI Solutions Architect, Data Scientists and Engineers to embed governance controls throughout the solution lifecycle.
- Translate policy, regulatory and risk requirements into practical technical controls and guardrails within AI solution designs.
- Define and oversee performance metrics, key risk indicators and monitoring approaches to identify model drift, governance breaches and emerging risk patterns.
Description
We are a forward-thinking company based in London, committed to harnessing the power of AI while ensuring ethical and compliant practices. We offer a hybrid work model, promoting a collaborative and innovative team environment. Our 6-month engagement will provide you with the opportunity to shape governance frameworks and contribute to crucial AI projects while working alongside skilled professionals in the field.
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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 2949 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?
The Scouts Association, Bluefruit Software Limited, SwapTix, Arctic Shores, MOD - Defence Digital, Roke Manor Research Limited, Wykes Engineering Co. (Rushden) Limited among others, are currently hiring for ML, AI roles in the UK.
The company with most openings is Hays Technology as they are hiring for 96 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 Hays Technology as they are hiring for 96 different Machine Learning Engineer jobs in the UK. They are probably quite committed to find good Machine Learning Engineers.