Senior Machine Learning Engineer

Senior Machine Learning Engineer

100,000 - 120,000 - London | Hybrid (2/3 days onsite).

I've partnered with a fast-growing technology company applying advanced AI to tough, real-world data problems. Their systems power automation and smarter decision-making in complex operational settings solutions, helping improve operational efficiency and reliability across energy firms worldwide.

With strong R&D backing and a really high-calibre technical team, this is a rewarding pportunity to join a cutting-edge product group applying modern ML with tangeable environmental impact.

As a Machine Learning Engineer, you will:

• Build and deploy ML models that drive decision-making and automation in complex physical systems
• Develop advanced forecasting and modelling approaches for challenging datasets
• Productionise research-grade ML using modern MLOps tooling
• Influence architecture and best practices across a growing technical team

Given the number of candidates applying, unfortunately I won't be able to speak to candidates without:

• 5+ years experience in machine learning engineering (some research is fine but this should be coupled with strong and referencable applied work in production.)
• Strong Python plus frameworks such as PyTorch - production experience with Docker / AWS
• Proven track record of taking models from concept to production with measurable impact - ROI / Gains / Drops / Reducations
• Experience with time-series forecasting / analysis
• Experience with forecasting and control/optimisation techniques

Experience of MLOps is highly advantageous but not an absolute pre-requisite for the role

Why you might enjoy it:

• 100,000120,000 base + shares/equity in firm
• 30 days annual leave + bank holidays
• High-impact sustainability projects, seeing your work in production not just shelved
• Clear progression pathways