AI Engineer

Ageas Insurance Limited
London
2 weeks ago
£70,000 pa

Salary

£70,000 pa

Work Location
Hybrid
Seniority
Mid
Posted
28 Oct 2026 (2 weeks ago)

Benefits

Flexible Working - Smart Working (flexibility around location within the UK and flexibility within the working day) Part-time/job-share vacancies Minimum of 35 days holiday (inc. bank holidays) Buy and sell holiday 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 Sports and Social Club events Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay 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

AI Engineer: 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. If you’re driven by growth, curiosity, and real-world impact, this is your chance to make your mark.

Main Responsibilities as an AI Engineer:

* 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.

Skills and experience you need as an AI Engineer:

* 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.

* Insert skills.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.

At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK.

Here are some of the benefits you can enjoy at Ageas:

* Flexible Working- Smart Working @ Ageas gives employees flexibility around location (as long as it’s within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days.

* Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities – Mindfulness.

* Supporting your Wealth- 50% off esure and Sheilas' Wheels motor and home insurance, Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans.

* Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more.

* Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks’ full pay.

* Benefits for Them- Partner Life Assurance and Critical Illness cover.

* Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops.

* Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover.

* Supporting you back to work- Return to work programme after maternity leave

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