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, competitive salary, and extensive health benefits.
- Other info: Dynamic team environment with opportunities for career growth and innovation.
- 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.
The predicted salary is between 60000 - 84000 £ per year.
Target Start Date: ASAP
Contract Type: Permanent, Part Time, Full Time, Job Share option available
Salary Range: £70,000- £80,000 Dependent on Experience
Location: Reigate, Manchester or Glasgow - Hybrid
Closing Date for applications: Friday 13th February
Step into a role where your work shapes the future of insurance. At Ageas/esure, we are 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.
- 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 gives employees flexibility around location (within the UK) and, for many roles, flexibility within the working day.
- We offer vacancies part-time/job-shares and a minimum of 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 – Mindfulness.
- Wealth - 50% off esure and Sheilas' Wheels motor and home insurance, Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans.
- Work - 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.
- Benefits for Them - Partner Life Assurance and Critical Illness cover.
- Tech - Deals on gadgets including Wearables, Tablets and Laptops.
- Getting around - Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover.
- Back to work - 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. We serve over four million customers. We are an inclusive employer and signatories of the Race at Work Charter and Women in Finance Charter, member of iCAN and GAIN. As a Disability Confident Leader, we ensure our recruitment processes are inclusive and offer support and adjustments during recruitment. If the list does not cover the support you need, please contact our Recruitment Team. We guarantee an interview for applicants with a disability who meet the minimum criteria.
We have a zero-tolerance approach to harassment during recruitment. Most roles allow a proportion of time spent working from home and we are open to flexible working arrangements, including full-time, part-time or job share.
Important Notice – Recruitment Scam: We are aware of fraudulent activity wherein individuals are contacted with fake job offers claiming to be from Ageas. These scams may include offers of high hourly pay and requests for upfront payments or deposits. 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 Ageas job opportunities are listed on our official careers pages. Communication will only come from verified Ageas email addresses. If you are unsure about a job offer, contact recruitment@ageas.co.uk with the subject FRAUD.
AI Engineer employer: Ageas
At Ageas, we pride ourselves on being a top employer in the UK, offering a dynamic work environment that fosters growth and innovation. Our flexible working arrangements, generous holiday allowance, and comprehensive health and well-being benefits ensure that our employees can thrive both personally and professionally. With a strong commitment to inclusivity and employee development, we provide numerous opportunities for career advancement while maintaining a supportive and collaborative culture in our Reigate office.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Ageas!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Engineer at Ageas.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Ageas.
✨Apply Directly through Our Website
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We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Ageas, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ageas. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Ageas
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ageas!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
