Senior Data Scientist AI Engineer

Salary: £100,000 - 100,000 per year

Requirements:

• We are looking for an experienced Data Scientist or ML Engineer with at least 5 years of experience, covering both classic machine learning and generative AI.
• We need someone who has successfully built multiple Data Science products that have delivered measurable impact.
• We require extensive experience with Databricks, AWS, or GCP, with real-time deployment experience.
• We are looking for strong Python skills and proven experience with experimentation tools such as MLflow or DBX for A/B testing.
• We want someone who is pragmatic, collaborative, and comfortable working in a bridge role between Data Science and MLOps.
• We value candidates who are proactive, informed, and willing to challenge complexity to improve how we work.

Responsibilities:

• We work closely with cross-functional teams to build, test, and maximise the value of models ranging from LLMs to propensity and classification models.
• We contribute to the end-to-end development and deployment of ML and AI models to deliver tangible commercial value.
• We act as a technical bridge between Data Science and MLOps to embed best-practice deployment techniques across the team.
• We take hands-on ownership of major projects, working with a large, event-based data set.
• We research, advise on, and deploy models from day one in a fast-paced, agile environment.
• We help shape our AI strategy and ensure we continue to leverage GenAI for maximum impact.

Technologies:

• AI
• AWS
• Databricks
• GCP
• Support
• Machine Learning
• MLflow
• MLOps
• Python
• Cloud

More:

We insure small businesses and enable big dreams for our customers, our people, and our communities. We are a technology company as well as an insurance company, with over 1,000,000 active insurance policies and coverage for builders, bakers, landlords, and more than 1,200 other trades. Our Big Dreams Project aims to help 10,000 small businesses start or grow by 2030. This is a permanent Technology role with one opening, based in a highly flexible hybrid environment. We offer 25 days of annual leave plus bank holidays, the option to buy additional holiday, flexible parental leave, life event leave, paid sabbaticals, private medical insurance through BUPA, a health cash plan, a competitive salary with annual bonus potential, learning and development support, counselling access, pension matching up to five per cent, life assurance, a salary sacrifice car scheme, and flexible benefits including critical illness cover, dental insurance, travel insurance, or gym membership. We are committed to equality, inclusion, and a respectful workplace for all colleagues and candidates.

last updated 31 week of 2026