Senior Machine Learning Engineer

Job Title: Senior Machine Learning Engineer

Contract Type: Permanent, Full Time

Salary Range: £54,400 - £70,000 depending on experience

Location: England, UK

Travel: Expected to attend our offices in Eastleigh on average one day per month

Closing Date for Applications: Sunday 23rd November 2025

Ageas UK is looking for a talented Senior Machine Learning Engineer to join our Data Science Operations team and drive the future of AI technologies within our organisation.

At Ageas, data and analytics are key enablers for performance improvement and growth. As part of our Enterprise Data Services function, you’ll have the opportunity to work on diverse challenges across the organisation, driving real‑world impact with your expertise in AI and ML.

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• Collaborate with internal and external teams to bring cutting‑edge business AI/ML solutions to life in scalable cloud environments.
  
• Build robust, high‑performance systems that seamlessly productionise both real‑time and batch models.
  
• Tackle traditional tech challenges with fresh thinking and creative collaboration, driving continuous improvement.
  
• Design and implement AI/ML solutions with best MLOps/LLMOps practices that meet demanding performance and functionality standards.
  
• Lead the way in developing streamlined operational processes, ensuring smooth deployment, monitoring and governance of models.
  
• Write clean, well‑documented code backed by thorough testing and proactive production monitoring, while resolving issues with precision and care.
  

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• Strong experience in AI/ML solution development and deployment in cloud environments.
  
• Proficiency in building high‑performance production systems for real‑time and batch models.
  
• Experience with MLOps/LLMOps best practices and end‑to‑end model lifecycle management.
  
• Ability to collaborate with cross‑functional teams and drive continuous improvement.
  
• Excellent coding standards, testing practices and proactive monitoring skills.
  

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• Flexible working: Smart Working within the UK, flexibility within the working day where possible, part‑time/job‑share options, minimum 35 days holiday including bank holidays (with ability to buy and sell days).
  
• Health support: Dental insurance, Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness coverage, Mental Health First Aiders, Well‑Being activities including mindfulness.
  
• Wealth support: Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans.
  
• Work‑life support: Well‑being activities, mindfulness sessions, Sports and Social Club events.
  
• Family support: Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay, paternity/non‑pregnant parent/co‑adopter at 8 weeks’ full pay.
  
• Benefits for partners/others: Life Assurance and Critical Illness cover for partners.
  
• Technology perks: Deals on gadgets including wearables, tablets, laptops.
  
• Transport perks: Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover.
  
• Return‑to‑work programme after maternity leave.
  

We are one of the largest car and home insurers in the UK. As an inclusive employer, we encourage anyone to apply. We are a signatory of the Race at Work Charter and Women in Finance Charter, a member of iCAN and GAIN. As a Disability Confident Leader, we are committed to ensuring our recruitment processes are fully inclusive.

We have a zero‑tolerance approach towards any form of harassment during the recruitment process, ensuring that everyone is treated with respect and professionalism.

We are aware of fraudulent activity whereby individuals are contacted with fake job offers claiming to be from Ageas, often for remote roles such as Administrative Assistants. These scams may include offers of high hourly pay and requests for upfront payments or deposits. Please be aware that Ageas will never ask for money at any stage of the recruitment process. Legitimise any job opportunity by applying through our official careers pages. If you are unsure about the legitimacy of a job offer or communication, contact with the subject FRAUD.