AI Engineer

AI Engineer

Full-Time 60000 - 84000 ÂŁ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Shape the future of insurance by developing innovative AI solutions.
  • Company: Join Ageas/esure, a leading insurer with a creative and inclusive culture.
  • Benefits: Enjoy flexible working, generous holiday, health perks, and career growth opportunities.
  • Why this job: Make a real-world impact while working with cutting-edge AI technologies.
  • Qualifications: Experience in NLP models and proficiency in Python data science tools required.
  • Other info: Dynamic team environment with a commitment to diversity and inclusion.

The predicted salary is between 60000 - 84000 ÂŁ per year.

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.

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.

Skills and experience

  • 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.

Benefits

  • Flexible Working - Smart Working at Ageas provides flexibility around location (within the UK) and, for many roles, flexibility within the working day to manage other commitments.
  • Minimum 35 days holiday (inc. bank holidays) with buy/sell options.
  • Health - Dental Insurance, Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities.
  • Wealth - 50% off esure and Sheila’s Wheels motor and home insurance, Annual Bonus Schemes, Salary Reviews, Pension, Employee Savings, Loans.
  • Work Perks - Well-being activities, mindfulness sessions, Sports and Social Club events, and more.
  • 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.
  • Other - Partner Life Assurance and Critical Illness cover, tech deals, car salary exchange, cycle scheme, vehicle breakdown cover, return to work programme after maternity leave.

About Ageas - We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work, serving over four million customers. We encourage anyone to apply and are signatories of the Race at Work Charter and Women in Finance Charter, member of iCAN and GAIN. As a Disability Confident Leader, we ensure inclusive recruitment with fair access to support and adjustments throughout the process. We guarantee an interview for applicants with a disability who meet the minimum criteria.

We have a zero-tolerance approach towards any form of harassment during the recruitment process. Most roles allow a proportion of time to be spent working from home and we’re open to discussing flexible working, including full-time, part-time or job share arrangements.

Important Notice – Recruitment Scam Alert: We are aware of fraudulent activity whereby individuals are contacted with fake job offers claiming to be from Ageas, often for remote roles. These scams may include offers of high hourly pay and requests for upfront payments. Please be aware that Ageas will never ask for money at any stage of the recruitment process. Ageas will always ask you to apply via our company websites and all legitimate opportunities are listed on our official careers pages. If you are unsure about a job offer, contact recruitment@ageas.co.uk with the subject FRAUD.

AI Engineer employer: Ageas UK

At Ageas/esure, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With flexible working arrangements, a comprehensive benefits package, and a commitment to employee growth, we empower our team members to thrive both personally and professionally. Join us in Reigate, Manchester, or Glasgow, where you can make a meaningful impact in the insurance industry while enjoying a supportive and inclusive environment.
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Contact Detail:

Ageas UK Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Engineer

✨Tip Number 1

Network like a pro! Reach out to current employees at Ageas or in the AI field on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.

✨Tip Number 2

Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with NLP models and how you've tackled real-world problems using AI. Show them you’re the perfect fit!

✨Tip Number 3

Don’t forget to showcase your soft skills! Being able to communicate complex ideas to non-technical stakeholders is key. Share examples of how you’ve done this in past roles.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the Ageas team and making an impact in the insurance world.

We think you need these skills to ace AI Engineer

NLP Models
Prompt Engineering
Fine-Tuning LLMs
Stakeholder Engagement
Machine Learning Solutions
Python Data Science Stack
Version Control (Git)
MLOps
Model Monitoring
CI/CD Technologies
Docker
MLflow
Kubernetes
FastAPI
AGILE Methodologies

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the AI Engineer role. Highlight your experience with NLP models and any relevant projects that showcase your skills in a commercial setting. We want to see how you can bring value to our team!

Showcase Your Technical Skills: Don’t hold back on detailing your proficiency with Python and the data science stack. Mention specific tools like pandas and scikit-learn, and any experience with CI/CD pipelines or MLOps. This is your chance to shine, so let us know what you’ve got!

Communicate Clearly: When writing your application, keep it clear and concise. Use straightforward language to explain your experience and how it relates to the role. Remember, we’re looking for someone who can work well with non-technical stakeholders, so clarity is key!

Apply Through Our Website: Make sure to submit your application through our official website. It’s the best way to ensure your application gets seen by the right people. Plus, it helps us keep everything organised and secure. We can’t wait to hear from you!

How to prepare for a job interview at Ageas UK

✨Know Your AI Stuff

Make sure you brush up on your knowledge of NLP models and LLMs. Be ready to discuss your experience with prompt engineering and fine-tuning in a commercial setting. The more specific examples you can provide, the better!

✨Showcase Your Collaboration Skills

Since this role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated with non-technical stakeholders. Highlight any projects where you scoped, designed, and delivered effective ML solutions together.

✨Familiarise Yourself with Their Tech Stack

Get to know the tools and technologies mentioned in the job description, like AWS, Docker, and CI/CD pipelines. If you have experience with MLOps or model monitoring, make sure to mention it during the interview!

✨Emphasise Your AGILE Experience

Since they value AGILE methodologies, be ready to discuss your experience working in AGILE environments. Share how you've adapted to changes and contributed to iterative development processes in your previous roles.

AI Engineer
Ageas UK
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