Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.

We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

Job Description

Senior Machine Learning Engineer — Ranking & Recommendations

Tech Stack: Python, GCP, BigQuery, dbt, modern ML frameworks, LLMs, embeddings, RAG

Salary: £110,000 – £130,000 + options scheme

Contract: Permanent, full-time

Location: London, 3 days per week

Sponsorship: Tier 2 sponsorship available

We're looking for a Senior Machine Learning Engineer to be the first dedicated ML hire. You'll work alongside the Data Engineering team to design, build, and own the recommendations infrastructure from the ground up, while helping define the long-term ML strategy - establishing best practices for model development, experimentation, evaluation, and monitoring.

As the first ML engineer, you'll have significant ownership and the opportunity to shape the discipline as we scale, collaborating closely with Product, Engineering, and Data teams to ensure ML capabilities are deeply embedded in the user experience.

We're looking for someone with deep experience in ranking and recommendation systems, who thrives on building from zero to one and wants real ownership in a fast-growing startup.

Must-haves

5+ years of experience in machine learning engineering Strong track record building ranking, recommendation, or personalisation systems in production Experience using generative AI across a product - LLMs for embedding , semantic understanding, conversational interfaces, feature , RAG, etc. Experience working with large-scale user behavioural data; proficiency with Python and modern ML frameworks Experience with cloud-based ML infrastructure (ideally GCP) Familiarity with data warehousing tools such as BigQuery and dbt

Interested? Apply below or reach out directly at mmatysik@trg-uk.com

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.