Data Engineer

La Fosse Associates
London, England
10 months ago
Applications closed

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Senior Simulation Data Engineer

PhysicsX London, United Kingdom
Posted
23 Jul 2025 (10 months ago)

Data Platform Engineer (DataOps)
£80,000 – £90,000 + 10% Bonus (discretionary)
London – 2 x a week

Are you a hands-on DataOps Engineer who thrives in a fast-paced environment and wants to make a real impact in the renewable energy sector?


My client are a rapidly growing clean energy company looking for a Data Platform Engineer to join a established, forward-thinking Data team. This is an exciting opportunity to contribute as an individual contributor while also mentoring peers and contributing to code quality and best practices.


Responsibilities:

Build, maintain, and scale our cloud-based data infrastructure using AWS, Terraform, and Kubernetes


Support data platform reliability and performance in a high-growth environment
Conduct code reviews and provide technical mentorship within the Data Platform team
Collaborate across teams on data-driven initiatives, including future AI/ML projects
Drive best practices in DataOps and infrastructure automation

What We’re Looking For:

Proven experience with AWS, Terraform, and Kubernetes


Strong understanding of modern DataOps practices
Enhance and maintain CI/CD pipelines to improve automation, testing, and deployment workflows across the data platform.
Comfortable working independently and as part of a collaborative team
Passionate about clean tech and renewable energy

Why Join Us?

Competitive salary up to £90,000 + 10% bonus


Work with a mature data function in a hypergrowth clean energy company
Be part of a mission-driven team making a difference in the world
Hybrid working and a flexible, supportive culture
Opportunity to work on AI-driven data projects in the near future

Industry Insights

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Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine Learning Jobs UK 2026: roles, salaries and the MLOps, LLM and generative AI hiring trends shaping UK ML careers over the next three years. Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.