3191 IT & Software Developer jobs in the UK
Requirements
Must:
- Extensive experience in leading technical teams designing and delivering end-to-end AI/ML solutions from concept to production within regulated or controlled environments.
- Strong Python expertise and deep knowledge of ML frameworks.
- Experience defining scalable ML architectures, including lifecycle management, monitoring, and resilience strategies.
- Experience overseeing deployment using containerisation and orchestration platforms and governing CI/CD and MLOps practices.
- Strong understanding of API-led integration within enterprise systems.
- Experience embedding responsible AI principles into architectural design.
- Strong understanding of secure coding, data protection, and governance frameworks, and experience supporting accreditation or assurance processes.
- Accountability for technical risk identification and mitigation.
- Experience translating operational requirements into AI-enabled capabilities.
- Ability to engage and influence senior stakeholders.
- Experience defining AI roadmaps and technical strategy.
- Strong decision-making capability balancing innovation, risk, and operational constraints.
- Proven experience leading, mentoring, and developing AI/ML engineers.
- Strong systems-level analytical thinking.
- Ability to operate autonomously with accountability for outcomes.
- Degree in relevant discipline or equivalent senior-level experience.
Technologies
AI
CI/CD
DevSecOps
Machine Learning
PyTorch
Responsibilities
- Lead the design and delivery of end-to-end AI/ML solutions aligned to organisational strategy and operational objectives.
- Define scalable, secure, and maintainable AI architectures covering data pipelines, model lifecycle management, deployment, and monitoring.
- Establish architectural standards, design patterns, and engineering best practices.
- Provide technical oversight across the full AI lifecycle: concept, prototyping, production deployment, and optimisation.
- Review and approve solution designs produced by AI Solution Engineers and wider delivery teams.
- Lead, mentor, and develop AI Solution Engineer(s) and associated technical staff.
- Set technical direction and ensure consistency in engineering standards across AI initiatives.
- Conduct code and design reviews to ensure quality, security, and maintainability.
- Identify capability gaps and drive upskilling across the AI team.
- Foster a collaborative, high-performance engineering culture.
- Own technical delivery of AI solutions, ensuring alignment with scope, timelines, and quality expectations.
- Oversee deployment of AI systems into secure or controlled environments.
- Ensure compatibility of AI solutions with DevSecOps pipelines and enterprise technology stacks.
- Define and monitor performance metrics for deployed models, ensuring operational effectiveness and reliability.
- Lead remediation and optimisation efforts when performance, compliance, or operational risks arise.
- Embed ethical AI principles, including fairness, explainability, auditability, and transparency, into solution design.
- Ensure compliance with data governance, security, and regulatory requirements.
- Support accreditation and assurance activities within regulated or defence environments.
- Identify, assess, and mitigate technical risks associated with AI deployment.
- Translate operational or business requirements into AI-enabled solution approaches.
- Engage senior stakeholders, providing clear technical briefings and strategic recommendations.
- Contribute to AI capability roadmaps and innovation strategies.
- Lead technical input into bids, proposals, or programme planning activities where required.
- Conduct horizon scanning to evaluate emerging AI technologies and assess relevance to operational use cases.
- Drive continuous improvement of AI engineering practices, tooling, and delivery methods.
- Champion adoption of MLOps practices to enhance repeatability, traceability, and scalability.
- Promote knowledge sharing and best practice dissemination across engineering teams.
Description
We are looking for a technically astute AI Solution Lead who thrives on engineering execution to realize enterprise goals. You will be responsible for designing and sustaining AI/ML solutions that align with our architectural vision. This role is pivotal in aligning AI technology with our goals, ensuring secure, interoperable systems to drive and automate data-driven decision making. We offer a dynamic work environment where innovation and personal development are encouraged, with the opportunity to work with cutting-edge technologies.
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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 3191 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, Secret Source Marketing, Government Communications Headquarters (GCHQ) 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 88 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 88 different Machine Learning Engineer jobs in the UK. They are probably quite committed to find good Machine Learning Engineers.