3 of 3 Machine Learning Engineer Jobs in West Sussex

Remote Senior Staff Machine Learning Engineer - Pricing

Hiring Organisation
tem
Location
Worthing, West Sussex, UK
infrastructure that prices electricity for thousands of businesses, balances portfolios in real time, and sits on the critical path for every deal tem closes. Machine learning is at the heart of Rosso, combining forecasting, optimisation and classical ML to process billions of data points and drive thousands … state of the art solution, to fuel our expansion in the UK and take Rosso international. We're looking for a Senior Staff Machine Learning Engineer to lead pricing ML within Rosso, building a platform that proactively drives growth by targeting the right customers to sign ...

Remote Senior Machine Learning Engineer

Hiring Organisation
Lobster
Location
Worthing, West Sussex, UK
regardless of gender identity. As we continue to expand and evolve our Data Platform and Data Network products, we're looking for a Senior Machine Learning/Artificial Intelligence Engineer (m/f/x) to join our Product & Engineering team. In this role, you'll collaborate … directly with key customers and internal stakeholders to validate solution performance and ensure product impact and usability. 5+ years of engineering experience focused on Machine Learning, AI, and Data Science. Hands-on production experience with LLMs, PyTorch, ML pipelines, and modern prompt engineering frameworks. Strong skills in Python ...

Remote Staff Machine Learning Engineer

Hiring Organisation
Bjak
Location
Worthing, West Sussex, UK
task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. As Technical Lead, Machine Learning, you own the execution layer of A1’s intelligence. You translate research direction into reliable, scalable, production-grade ML systems. This role … Collaborate closely with application engineering to integrate ML systems cleanly into backend, mobile, and desktop products. Make pragmatic trade-offs and ship improvements quickly, learning from real usage. Work under real production constraints: latency, cost, reliability, and safety Outcomes Research and models reliably translate into production-ready solutions with ...