26 to 33 of 33 Remote/Hybrid scikit-learn Jobs

Data Scientist – Partnership Optimisation Location: Leeds (Hybrid) Contract: Full-time About Protect Group Protect Group, established in 2016, is an innovative global technology leader enhancing customer experiences and revenue opportunities for businesses through AI-driven ...

Responsibilities AI software development and prototyping Proof of Concept (PoC) development Working with LLM stacks (e.g. Ollama + LangChain) Machine learning development using Scikit-learn Transitioning solutions from synthetic data environments to production data Working within Agile Scrum delivery teams Key Skills & Experience Strong experience in AI/ ...

work and how they are used by the business. You are comfortable writing Python for data analysis and modelling (e.g. Pandas, Polars, LightGBM, Scikit learn); you know how to pull data from databases and manipulate it to get answers. You care about writing code that is readable, reusable ...

This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Scientist, you’ll join a collaborative, high-performing team with a culture rooted ...

Senior Machine Learning/AI Engineer £100,000-£125,000 Hybrid working model: three days per week in the office (Monday, Tuesday, plus one flexible day) LDN 27 days of annual leave plus 8 bank ...

Geospatial Data Engineer - Contract Remote UK £420 per day 12 Months - the entirety of 2026 into 2027 Deemed Outside IR35 (pending QDOS assessment) This Contract Geospatial Data role is a fantastic opportunity to work on ...

Job Opportunity: Technical Architect (Python) Apply promptly! A high volume of applicants is expected for the role as detailed below, do not wait to send your CV. The Opportunity Join a purpose-led global transformation ...

Location : Hybrid (London, UK) Contract Duration : Initial 612 months Rate : Competitive Why this role? Real-World Impact: Build models that directly influence live fleet operations Applied ML Focus: Time-series, geospatial data, optimisation problems Complex ...