Senior AI Engineer in Manchester

Senior AI Engineer in Manchester

Manchester Full-Time 90000 - 100000 ÂŁ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Shape the future of insurance with innovative AI solutions and impactful projects.
  • Company: Join Ageas, a leading car and home insurer in the UK, known for its inclusive culture.
  • Benefits: Enjoy flexible working, generous holiday, health perks, and a supportive work environment.
  • Why this job: Make a real impact in AI while collaborating with talented teams and cutting-edge technology.
  • Qualifications: Experience in delivering AI solutions and strong communication skills are essential.
  • Other info: Opportunities for career growth and a dynamic, creative workplace await you.

The predicted salary is between 90000 - 100000 ÂŁ per year.

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 a Senior AI Engineer, you’ll play a pivotal role in shaping and delivering the next generation of AI‑driven solutions across our business. You’ll take ownership of end‑to‑end projects — from gathering requirements and defining the approach, through to building, deploying and measuring real‑world impact. Working with mature AI products already used by hundreds of colleagues, you’ll operate at the forefront of our cloud and GenAI ecosystem, using cutting‑edge tools to drive meaningful innovation. If you’re driven by autonomy, problem‑solving and the chance to influence how AI is delivered at scale, this is an opportunity to make a significant mark.

Responsibilities

  • Help shape the AI roadmap across use cases and technology.
  • Work with stakeholders to understand processes and data, identifying high‑value GenAI opportunities.
  • Contribute to scalable, innovative AI delivery as part of the Data Science & AI team.
  • Collaborate with a cross‑functional squad — DevOps, data engineers, developers, testers and Infosec — to productionise AI services in AWS.
  • You’ll be a key technical mentor within the team, helping to guide junior engineers and elevate our engineering standards.

Skills and experience

  • Experience delivering AI into production, solving real commercial problems and measuring impact.
  • A self‑starter with a track record of taking research and models through to production to drive clear business and customer value.
  • Skilled at balancing quick delivery with longer‑term capability building.
  • Able to communicate confidently and credibly across all levels of the business, from individual contributors to the C‑suite.
  • Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results.

Benefits

  • Flexible Working: Smart Working at Ageas gives employees flexibility around location (within the UK) and, for many roles, flexibility within the working day. Vacancies may be part‑time or job share.
  • Minimum of 35 days holiday (inc. bank holidays) with the option to buy/sell days.
  • 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, Pension, Employee Savings, Employee Loans.
  • Workplace: 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 entitlement of 8 weeks at full pay.
  • Other: Partner Life Assurance and Critical Illness cover, tech deals on gadgets, and mobility benefits.

About Ageas

We are one of the largest car and home insurers in the UK. Our People help Ageas be a thriving, creative and innovative place to work. We serve over four million customers and encourage an inclusive application process; we are signatories of the Race at Work Charter and Women in Finance Charter, members of iCAN and GAIN, and a Disability Confident Leader. We are committed to ensuring recruitment processes are fully inclusive, and 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 across Ageas allow some time to be spent working from home, and we are open to discussing flexible working arrangements including full‑time, part‑time or job share.

Senior AI Engineer in Manchester employer: Ageas

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 strong 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 Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior AI Engineer in Manchester

✨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

Show off your skills! Prepare a portfolio or case studies of your past AI projects. When you get that interview, having tangible examples will make you stand out.

✨Tip Number 3

Practice makes perfect! Get ready for technical interviews by brushing up on your coding skills and AI concepts. Mock interviews with friends can help you feel more confident.

✨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.

We think you need these skills to ace Senior AI Engineer in Manchester

AI Development
Cloud Computing (AWS)
GenAI Solutions
Project Management
Stakeholder Engagement
Data Analysis
Technical Mentorship
Problem-Solving Skills
Communication Skills
End-to-End Project Delivery
Agile Methodologies
Cross-Functional Collaboration
Self-Starter Attitude
Impact Measurement

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior AI Engineer role. Highlight your experience with AI projects, especially those that have delivered real commercial value. We want to see how your skills align with our needs!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how you can contribute to our exciting projects. Keep it engaging and relevant to the role — we love a good story!

Showcase Your Impact: When detailing your past experiences, focus on the impact you made. Use metrics and examples to illustrate how your work has solved problems or improved processes. We’re all about measuring success here at Ageas!

Apply Through Our Website: Don’t forget to apply through our official website! It’s the best way to ensure your application gets to us directly. Plus, it shows you’re serious about joining our team. We can’t wait to hear from you!

How to prepare for a job interview at Ageas

✨Know Your AI Stuff

Make sure you brush up on your AI knowledge, especially around the tools and technologies mentioned in the job description. Be ready to discuss your experience with delivering AI into production and how you've solved real commercial problems.

✨Showcase Your Project Management Skills

Prepare to talk about your experience managing end-to-end projects. Highlight specific examples where you've taken a project from concept to delivery, focusing on how you gathered requirements and refined briefs to achieve strong results.

✨Communicate Like a Pro

Since you'll be working with various stakeholders, practice explaining complex AI concepts in simple terms. Be confident in your ability to communicate across all levels of the business, from junior engineers to senior management.

✨Be Ready to Collaborate

Expect questions about teamwork and collaboration. Think of examples where you've worked with cross-functional teams, like DevOps or data engineers, to deliver AI solutions. Emphasise your role as a mentor and how you've helped elevate engineering standards.

Senior AI Engineer in Manchester
Ageas
Location: Manchester

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