Senior Machine Learning Engineer

Ageas Insurance Limited; Eastleigh; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading insurance company in the UK is seeking a Senior Machine Learning Engineer to work on diverse AI and ML challenges. Responsibilities include collaborating with teams to implement scalable AI/ML solutions, designing robust systems, and leading operational processes. Ideal candidates should have strong experience in cloud environments and a collaborative mindset, with flexible working options available.

Benefits

Flexible working

Minimum 35 days holiday

Health benefits

Annual bonus scheme

Work-life support programs

Qualifications

• Strong experience in cloud environments.
• Ability to lead operational processes for deployment and governance.

Responsibilities

• Collaborate with teams to implement AI/ML solutions.
• Build robust, high-performance systems.
• Design and implement solutions with MLOps/LLMOps practices.

Skills

Building and productionising AI/ML models

Knowledge of MLOps / LLMOps best practices

Writing clean, well-documented code

Excellent problem-solving skills

Job description

Senior Machine Learning Engineer

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.

Responsibilities

• 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 practice 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.

Qualifications

• Strong experience in building and productionising AI/ML models in cloud environments.
• Knowledge of MLOps / LLMOps best practices and model governance.
• Proficiency in writing clean, well‑documented, tested code with production monitoring.
• Ability to lead operational processes for deployment, monitoring, and governance.
• Excellent problem‑solving skills and a collaborative mindset.

Benefits

• Flexible working – Smart Working within the UK and flexible hours.
• Minimum 35 days holiday (including bank holidays) with options to buy and sell days.
• Health benefits: dental insurance, health cash plan, health screening, mental health first aiders, well‑being activities.
• Wealth benefits: annual bonus schemes, salary reviews, competitive pension, employee savings and loans.
• Work‑life support: sports and social club events, mindfulness sessions, family leave entitlements.

About Ageas

Ageas is one of the largest car and home insurers in the UK, serving over four million customers. We are a signatory of the Race at Work Charter, Women in Finance Charter, and a Disability Confident Leader. We guarantee fair access, support, and adjustments throughout the recruitment experience, including a guaranteed interview for applicants with a disability who meet the minimum criteria for the role.

Equal Opportunity Employer

We have a zero‑tolerance approach towards any form of harassment during the recruitment process and ensure every applicant is treated with respect and professionalism.