Ageas UK

About the Company

Thanks for stopping by to find out more about us. We're one of the largest car and home insurers in the UK and part of an international group, which is headquartered in Brussels. We go back a fair bit too - 200 years to be exact.

Fast-forward to today and we're proud to be one of the UK's leading providers of personal lines insurance and a certified Top Employer in the UK for four consecutive years, in 2022, 2023, 2024 and 2025.

Our UK team stands shoulder-to-shoulder with our most important people - our customers. We're recognised for our excellent insurance cover and being easy and straightforward to deal with. Plus, we understand the need for choice, which is why our insurance can be bought with us directly and through your local insurance broker.

We have over 4 million customers and are proud to offer brilliant service when it matters. Our UK-based, market-leading claims team are on hand 24/7 to help every step of the way and get things back to normal, quick smart.

Don't just take our word for all this though. By having the customer at heart in everything we do, we scooped the Personal Lines Insurer of the Year Award at the British Insurance Awards for 3 consecutive years in 2021, 2022 and 2023. Additionally, we received the Personal Lines Insurer of the Year Award at the Insurance Times Awards in 2021, 2023 and 2024, and achieved The Institute of Customer Service's coveted ServiceMark with Distinction Accreditation.

Please note that we will only respond to private messages in working hours of 09:00 - 17:00.

Listed Jobs

Company Name

Ageas UK

Job Title

Lead AI Engineer

Job Description

Job Title: Lead AI Engineer Role Summary: Lead technical direction and delivery of AI solutions for insurance applications, overseeing a small engineering team, setting standards, and driving measurable impact from prototype to production. Expectations: Deliver end‑to‑end production AI systems, mentor a high‑performing team, collaborate with senior stakeholders, and define the AI roadmap that aligns with business goals. Key Responsibilities: - Guide and support a small AI engineering team, fostering growth and best practices. - Partner with business leaders to set and refine engineering and R&D standards. - Shape and maintain the AI product roadmap across use cases and technology. - Identify high‑value Generative AI opportunities by analyzing processes and data. - Lead scalable AI delivery within the Data Science & AI team, contributing to enterprise innovation. Required Skills: - Proven experience delivering AI solutions to production in a commercial environment. - Strong technical leadership and mentoring capabilities for varied skill levels. - Advanced expertise in natural language processing, model development, prompt engineering, and LLM fine‑tuning. - Ability to translate research into production code, measuring business and customer impact. - Self‑starter mindset, thriving both independently and in cross‑functional, fast‑paced settings. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field. - Relevant certifications in AI/ML (e.g., TensorFlow, PyTorch, cloud AI services) are desirable but not mandatory.

Chandler's ford, United kingdom

Remote

Senior

30-01-2026

Company Name

Ageas UK

Job Title

Senior AI Engineer

Job Description

Job Title: Senior AI Engineer Role Summary: Lead end‑to‑end AI solution development, from requirement gathering to production deployment, driving scalable GenAI initiatives that deliver measurable business value. Expectations: Deliver high‑impact AI services on time, collaborate cross‑functionally, mentor junior engineers, and maintain high engineering standards while balancing rapid delivery with long‑term capability building. Key Responsibilities: - Own AI roadmap development across multiple use cases, identifying high‑value GenAI opportunities. - Translate business requirements into technical approaches and production‑ready AI models. - Design, build, test, deploy, and monitor AI services in AWS environments. - Collaborate with DevOps, data engineering, software development, QA, and infosec teams to productionise AI services. - Provide technical mentorship to junior team members, raising engineering quality and best practices. - Communicate progress, challenges, and outcomes to stakeholders at all organizational levels. - Measure and report on real‑world impact of deployed AI solutions, using metrics aligned with business goals. Required Skills: - Proven experience delivering AI models into production and measuring business impact. - Expertise in GenAI and cloud‑native AI workflows (AWS). - Strong programming skills (Python, PyTorch/TensorFlow, SQL). - Familiarity with CI/CD pipelines, containerisation (Docker/Kubernetes), and cloud infrastructure. - Ability to balance rapid prototyping with scalable engineering practices. - Excellent verbal and written communication across technical and non‑technical audiences. - Self‑motivated, independent, and proactive in driving projects to completion. Required Education & Certifications: - Bachelor’s degree (or higher) in Computer Science, Data Science, Artificial Intelligence, or related field. - Professional certifications in cloud AI (e.g., AWS Machine Learning Specialty) or data engineering are a plus.

Chandler's ford, United kingdom

Remote

Senior

30-01-2026

Company Name

Ageas UK

Job Title

AI Engineer

Job Description

**Job title:** AI Engineer **Role Summary:** Design, develop and deploy Generative AI and NLP solutions that enhance customer experience and operational efficiency in insurance. Work cross‑functionally to transform data into scalable AI services on AWS. **Expectations:** - Deliver value‑driven GenAI use cases that align with business strategy. - Own end‑to‑end AI lifecycle: research, prototype, production, monitoring and iterate. - Collaborate with non‑technical stakeholders to scope, design and communicate AI solutions. **Key Responsibilities:** - Partner with business and technical stakeholders to identify high‑value AI opportunities. - Research, fine‑tune and deploy NLP/LLM models (prompt engineering, LLMOps). - Build and maintain MLOps pipelines (CI/CD, Docker, Kubernetes, MLflow, FastAPI). - Monitor model performance and conduct cost‑benefit assessments of third‑party GenAI tools. - Contribute to the AI Python library and overall tech stack improvements. - Participate in agile squads (DevOps, data engineering, QA, Infosec). **Required Skills:** - Proven experience with NLP and LLM development in a commercial setting. - Strong Python data science stack (pandas, scikit‑learn, Jupyter). - Version control proficiency (Git). - Familiarity with MLflow, Docker, Kubernetes, FastAPI, and CI/CD concepts. - Ability to translate business needs into technical AI solutions. - Knowledge of Agile methodologies. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence or related field, or equivalent experience. - Optional certifications: AWS Certified Machine Learning – Specialty, or similar AI/ML credentials.

Chandler's ford, United kingdom

Remote

30-01-2026