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Engineering Manager - ML Platform

TN United Kingdom

London

On-site

GBP 80,000 - 100,000

Full time

2 days ago
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Job summary

Join a leading company as an Engineering Manager for their ML Platform in London. Lead a talented engineering team, driving innovative AI and ML solutions to enhance retail technology. Shape the future of retail with cutting-edge processes and technologies in a supportive, inclusive environment.

Benefits

Colleague Discounts
Pensions
Life Cover
Performance Bonuses
Holiday Allowances
Season Ticket Loans
Interest-Free Car Loans
Cycle Schemes
Health Plans
Comprehensive Wellbeing Support

Qualifications

  • Experience in ML Engineering & DevOps, managing large-scale platforms.
  • Skilled in cloud architecture, data pipelines, and analytics.

Responsibilities

  • Own and evolve a newly built ML Ops platform on Microsoft Azure.
  • Drive innovation with new AI/ML capabilities such as graph neural networks.
  • Build a diverse, high-performing engineering team.

Skills

Leadership
AI & ML
Cloud Architecture
DevOps
Agile Practices

Tools

Microsoft Azure
AWS

Job description

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Engineering Manager - ML Platform, London

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Client:

Sainsbury's

Location:

London, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

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Job Reference:

24de1f04cf9c

Job Views:

3

Posted:

17.05.2025

Expiry Date:

01.07.2025

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Job Description:

Joining Sainsbury's Tech means becoming part of an inclusive and driven team passionate about creating innovative solutions. As an Engineering Manager, you will lead and coach talented engineering teams, driving impactful solutions to improve efficiency and performance across the business. You will shape a world-class engineering function and develop cutting-edge processes and technologies. Sainsbury's values collaboration, diversity, and inclusivity, providing a supportive environment for meaningful contributions. Join us to foster technical excellence and embrace diversity to influence the UK retail technology landscape.

About the Team

You will lead a multi-skilled engineering team managing our new Artificial Intelligence & Machine Learning platform at Sainsbury’s.

What you'll do

  • Own and evolve a newly built ML Ops platform on Microsoft Azure, supporting the full ML lifecycle—from data sourcing & feature engineering to training, deployment, and real-time serving.
  • Architect scalable, secure, and cost-effective solutions, making build vs. buy decisions to maximize impact.
  • Drive innovation with new AI/ML capabilities such as graph neural networks and LLM Ops.
  • Oversee migration & modernization of existing ML models into a unified stack.
  • Support cross-functional teams of data scientists and ML engineers, enabling AI-driven automation across the business.
  • Manage end-to-end delivery and operations of the platform, ensuring stability and development.
  • Collaborate with Product teams to prioritize AI/ML capabilities, ensuring high-quality delivery.
  • Build a diverse, high-performing engineering team, hiring and leveraging third-party resources as needed.
  • Define the technical vision for AI & ML Engineering, embedding best practices across the organization.
  • Champion agile/lean delivery, oversee budgets, support services, and SLAs.

Who you are

  • A passionate leader with understanding of AI & ML in retail success.
  • Technical expert with experience in ML Engineering & DevOps, managing large-scale platforms.
  • Skilled in cloud architecture (Azure or AWS), data pipelines, stream processing, and analytics.
  • A people-first leader who fosters an inclusive, high-performing culture.
  • Advocate of modern engineering practices and tools to enhance team efficiency and innovation.
  • A results-oriented problem solver with strong financial understanding to maximize investments.

We offer a modern engineering environment with opportunities in AI and reusable tech, supported by a Tech Academy and standards. We promote agile, Scrum, and XP methodologies. Our inclusive culture welcomes everyone and supports development, with flexible working options. Benefits include colleague discounts, pensions, life cover, performance bonuses, holiday allowances, season ticket loans, interest-free car loans, cycle schemes, health plans, pay advances, discounts, and comprehensive wellbeing support. We also provide generous parental leave and other family-friendly policies.

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