Senior ML Engineer: Lead AI Systems & MLOps

Sainsbury's; Greater London; On-site; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Colleague discount

Pension scheme

Life cover

Bonus up to 20% of salary

Private healthcare

Job summary

Sainsbury's in London is seeking a Senior Machine Learning Engineer to design, build and optimise an end-to-end ML system for advert classification. You will lead a team of data scientists and collaborate with software engineers to deliver production-ready solutions, applying MLOps practices and integrating LLMs where appropriate.

The role focuses on scalable architectures, performance evaluation, and continuous improvement, with mentoring responsibilities and a drive toward engineering

Qualifications

• 6–10 years experience designing and building ML systems end-to-end, including strong experience implementing MLOps.
• Strong understanding of modern ML methodologies, Data Science and accompanying algorithms, with experience integrating LLMs as hybrid AI-ML systems.
• Academic background with at least a BSc in Computer Science.

Responsibilities

• Lead the design and build of high-quality, scalable and reusable ML systems using Sainsbury’s engineering standards and best practices.
• Design and optimise ML modules for Advert classification, applying the ML-Lifecycle and best practices in model selection and development.
• Lead the design and implementation of supporting ML Operations, data versions, model re-training and data observability.
• Implement automation tools and frameworks for experiment tracking, data and model observability to streamline deployment and monitoring of ML models in production.
• Lead the system evaluation methodology, including evaluation strategy, data generation and evaluation metrics.
• Provide guidance to mid Data Scientists on best practices and methods for optimising ML modules and the system.
• Collaborate with data scientists across the lifecycle, including EDA, data transformation, feature engineering, model selection.
• Optimise data processing workflows and storage solutions to improve performance and reduce costs.
• Work closely with cross-functional teams to deliver data solutions meeting business needs.
• Promote knowledge sharing and organize technical workshops, brown bag sessions, and code reviews.
• Foster continuous learning and improvement within the team.

Skills

Machine Learning

MLOps

LLMs

Education

BSc Computer Science

Tools

Azure

AWS

ML tooling

Job description

Sainsbury's in London is seeking a Senior Machine Learning Engineer to design, build and optimise an end-to-end ML system for advert classification. You will lead a team of data scientists and collaborate with software engineers to deliver production-ready solutions, applying MLOps practices and integrating LLMs where appropriate.

The role focuses on scalable architectures, performance evaluation, and continuous improvement, with mentoring responsibilities and a drive toward engineering