AI Engineer
Role details
Job location
Tech stack
Job description
- 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., At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK.
Here are some of the benefits you can enjoy at Ageas:
Flexible Working- Smart Working @ Ageas gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days.
Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness.
Supporting your Wealth- 50% off esure and Sheilas' Wheels motor and home insurance, Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans.
Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more.
Supporting you and your 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., As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter, member of iCAN and GAIN. As a Disability Confident Leader, we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruitment experience. If the list does not cover the support you need, please contact our Recruitment Team to discuss how they can help. We also guarantee an interview for applicants with a disability who meet the minimum criteria for the role. For more information, please see Ageas Everyone.
We have a zero-tolerance approach towards any form of harassment during the recruitment process, ensuring that everyone is treated with respect and professionalism.
Our aim is to have great people everywhere in our business and we're always looking for outstanding people to join us. Most roles across Ageas allow a proportion of your time to be spent working from home and we're open to discussing flexible working, including full-time, part-time or job share arrangements. To find out more about Ageas, see About Us.
Requirements
- 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.