Ageas UK

AI engineer in insurance

In short

This AI Engineer role at Ageas/esure involves partnering with business stakeholders to identify GenAI use cases and deploying scalable AI solutions in production on AWS, working within a cross-functional squad covering DevOps, data engineering, testing and infosec. The company already runs 20 live AI use cases supporting over 900 frontline staff, with the Data Science & AI team expanding. It demands proven commercial experience with NLP, prompt engineering and LLM fine-tuning, the Python data science stack, and exposure to LLMOps/MLOps tooling such as Docker, MLflow, Kubernetes and FastAPI. The role is hybrid in London, full-time, offering up to £70,000.

About the role
Step into a role where your work shapes the future of insurance. At Ageas/esure, we're building on an exciting foundation of 20 live AI use cases already empowering over 900 frontline colleagues — and we're just getting started! As an AI Engineer, you'll join a rapidly expanding function with huge opportunities to innovate, scale, and influence how our business delivers smarter, faster, more human-centred customer experiences.
Responsibilities
•Partner with stakeholders to understand processes and data, identifying high-value GenAI use cases.
•Work within the Data Science & AI team to deploy scalable, cutting-edge AI solutions across the business.
•Collaborate in a cross-functional squad (DevOps, data engineers, developers, testers, Infosec) to productionise AI services in AWS.
•Enhance and innovate esure's tech stack, including MLOps, CI/CD pipelines, UI, and our AI Python library.
•Assess third-party GenAI and LLM technologies to determine feasibility and cost–benefit.
Requirements
•Proven experience applying, researching and developing NLP models, including prompt engineering and fine-tuning LLMs in a commercial setting.
•Skilled at working with non-technical stakeholders to scope, design and deliver effective ML solutions.
•Proficient with the Python data science stack (pandas, scikit-learn, Jupyter, etc.) and version control tools like Git.
•Exposure to LLMOps, model monitoring, CI/CD and related technologies (Docker, MLflow, Kubernetes, FastAPI, etc.).
•Knowledge and working experience of AGILE methodologies.
Conditions & Benefits
•Up to £70,000, dependent on experience.
•Smart Working @ Ageas gives employees flexibility around location (as long as it's within the UK) and, for many roles, flexibility within the working day to manage other commitments, such as school drop-offs.
•Part-time/job-share options offered for all vacancies.
•Minimum of 35 days holiday (including bank holidays), with the option to buy and sell days.
•Dental Insurance, Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well-Being Activities – Mindfulness.
•50% off esure and Sheilas' Wheels motor and home insurance.
•Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans.
•Well-being activities, mindfulness sessions, Sports and Social Club events and more.
•Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay.
•Partner Life Assurance and Critical Illness cover.
•Deals on various gadgets including Wearables, Tablets and Laptops.
•Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover.
•Return to work programme after maternity leave.

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