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AI Engineer

Job in Reigate, Surrey County, RH2, England, UK
Listing for: esure Group
Full Time position
Listed on 2026-02-01
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
AI Engineer Job Tenure: Full-time, permanentSalary: CompetitiveCompany Description

Ready to join a team that's leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good!

We’ve been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas’ Wheels brands. With a bold dedication for digital innovation, we're transforming the way the industry operates and putting customers at the heart of everything we do.

Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future.

Job Description

We currently have a phenomenal opportunity for an AI Engineer to join our us as we enhance our customer experience by harnessing the power of NLP, large language models, and flawless integration with third-party GenAI services. In this dynamic role, you'll be involved in every stage of the AI lifecycle, from brainstorming ideas and crafting prompts to fine-tuning models and deploying them into production.

Success in this role is measured through rigorous A/B testing, ensuring our solutions deliver real value.

You'll have the opportunity to work on a variety of impactful projects across the entire enterprise. We are seeking an innovative individual who shares our vision to fix insurance for good.


What you’ll do:

  • Collaborate with business partners to identify use-cases where GenAI can provide measurable benefits.
  • Support the data science and AI team in deploying scalable AI applications across the enterprise.
  • Work with a multi-functional team (Dev Ops, data engineers, developers, testers, Infosec) to product ionize AI services on AWS.
  • Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries.
  • Develop prompts, fine-tune models, and track results.
  • Evaluate third-party GenAI and LLM technologies for cost-benefit analysis.
  • Deliver projects from scoping and R&D to production deployment and benefit measurement.
  • Follow and contribute to standards for code quality, R&D, and model development.
  • Engineer data for optimal AI application performance.
  • Advise peers and senior management on business and customer impact.
  • Write production-grade Python code, leveraging CI/CD, Databricks, and ensuring appropriate test coverage; proficiency in SQL.
  • Liaise with third-party partners and stay updated on field advancements and regulations.
  • Collaborate with data governance and data management teams on data requirements.
Qualifications


What we’d love you to bring:

  • You are a self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences.
  • You thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business.
  • PhD or MSc experience in a numerate subject:
    Machine Learning, Computer Science, Statistics, or equivalent,
  • Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting,
  • Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results.
  • Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution.
  • Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git.
  • Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc.
  • Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors.
  • Knowledge of OO programming and software design, i.e., SOLID principles.
  • Knowledge and working experience of AGILE methodologies.
  • Familiarity with Databricks, and RAG application architecture a plus
  • Experience with latency optimisation and quantisation preferred
Additional Information


What’s in it for you?:

  • Competitive salary that reflects your skills, experience…
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