Lead ML Engineer: Hybrid LLMs & Advert Classification

Lead ML Engineer: Hybrid LLMs & Advert Classification

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
Sainsbury's Supermarkets Ltd

At a Glance

  • Tasks: Lead the design and optimisation of ML systems for Advert Classification.
  • Company: Join Sainsbury's, a leader in innovation and technology.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Be part of a culture that values continuous learning and technical excellence.
  • Why this job: Make a real impact by driving best practices in machine learning and mentoring a talented team.
  • Qualifications: Experience in machine learning and a passion for mentoring and collaboration.

The predicted salary is between 70000 - 90000 £ per year.

Sainsbury's is seeking a Senior Machine Learning Engineer to design, build, and optimise an end‑to‑end ML system for Advert Classification. You will lead the ML lifecycle, mentor a team of data scientists, and drive best practices in MLOps, data versioning, and model retraining.

You will partner with software engineers and product teams to ensure reliability, performance, and production readiness, while promoting a culture of continuous learning and technical excellence within the Media Agency.

Lead ML Engineer: Hybrid LLMs & Advert Classification employer: Sainsbury's Supermarkets Ltd

Sainsbury's Supermarkets Ltd is an excellent employer, offering a vibrant work culture where teamwork and customer service are at the forefront. Employees benefit from competitive pay, night shift premiums, and a range of perks including discounts and generous holiday entitlement, all while working in a supportive environment that encourages personal growth and wellbeing.

Sainsbury's Supermarkets Ltd

Contact Details:

Sainsbury's Supermarkets Ltd Recruitment Team

We think you need these skills to ace Lead ML Engineer: Hybrid LLMs & Advert Classification

Machine Learning
MLOps
Data Versioning
Model Retraining
Team Leadership
Mentoring
Collaboration with Software Engineers