AI Engineer — Hybrid London, GenAI & MLOps Impact

Ageas Uk; Greater London; Hybrid; GBP 63,000 - 77,000; Full time

Benefits offered by this job

Flexible Working

Dental Insurance

Annual Bonus Scheme

Competitive Pension

Car Salary Exchange

Job summary

Ageas UK is recruiting an AI Engineer in London (hybrid) to help shape the future of insurance through GenAI use cases and scalable AI solutions.

You will work with a cross-functional team to productionise AI services in AWS, enhance the tech stack, and collaborate with non-technical stakeholders to scope and deliver impactful ML solutions.

The role sits in a growing Data Science & AI function, offering opportunities to innovate and influence customer experiences across the business.

Qualifications

• Proven experience applying NLP models in a commercial setting.
• Experience with scoping, designing and delivering ML solutions to non-technical stakeholders.
• Proficiency with Python data science stack (pandas, scikit-learn, Jupyter).
• Exposure to AGILE methodologies and DevOps practices.

Responsibilities

• Partner with stakeholders to identify high-value GenAI use cases.
• Deploy scalable AI solutions within the Data Science & AI team.
• Collaborate in cross-functional squads to productionise AI services in AWS.
• Enhance the tech stack including MLOps, CI/CD pipelines, UI, and AI library.
• Evaluate third-party GenAI and LLM technologies for feasibility and cost-benefit.

Skills

NLP models

Python data stack

LLM tuning

AGILE methodologies

Docker

Kubernetes

MLflow

FastAPI

Git

Tools

Docker

MLflow

Kubernetes

FastAPI

Git

Jupyter

Job description

Ageas UK is recruiting an AI Engineer in London (hybrid) to help shape the future of insurance through GenAI use cases and scalable AI solutions.

You will work with a cross-functional team to productionise AI services in AWS, enhance the tech stack, and collaborate with non-technical stakeholders to scope and deliver impactful ML solutions.

The role sits in a growing Data Science & AI function, offering opportunities to innovate and influence customer experiences across the business.