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Ocado Group

Senior Software Engineer - Data & ML

Ocado Group is hiring a Senior Software Engineer - Data & ML in London, United Kingdom. Level rates it ; you can apply on Ocado Group.

Level's read on this job

  • Level rates this software engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Some of the work can be done remotely, according to the posting.
  • The posting mentions Python, Java and AWS among its tools and skills.
  • Ocado Group has 55 other open roles on Level.
  • Posted within the past week.

AI in this role

Build and maintain production infrastructure and pipelines for AI-powered warehouse planning and machine learning systems.

pythonjavaawsdockerkubernetes
ai-agentsml-opsai-safetymachine-learningmlopsci-cdapi-developmentdistributed-systems

Senior Software Engineer – Data & ML | Autoplanner | Hybrid Working | London

Introduction: 

We are Ocado Group, and we're bringing world-class automation to online grocery. Our Ocado Smart Platform (OSP) combines cutting-edge robotics, AI, and IoT within our advanced CFCs (Customer Fulfilment Centres). We've mastered the single pick, transforming online delivery for our global partners. Join us and be part of a team pushing the boundaries of retail technology. 

About the Role:

As a Senior Software Engineer in the Autoplanner team, you will own the software engineering that brings our data science and machine learning products into live production. Autoplanner builds AI-powered systems that unify planning across global warehouses and last-mile assets, delivering globally optimized plans that maximize profit and minimize lateness. You will act as the engineering partner to our data scientists, ensuring our systems remain robust, highly scalable, and efficient as we roll out to more international retail partners. Our services are mostly Python, but we use Java where a service integrates closely with the Ocado Smart Platform, to take advantage of its shared tooling.

In this role, you will write typed, well-tested Python and oversee cloud-based data applications from end to end. You will contribute to core architectural decisions, improve CI/CD pipelines, and raise engineering standards across the team through pairing, code reviews, and shared tooling. Additionally, you will harness AI coding tools in production while maintaining a strong emphasis on engineering discipline, system performance, and high-quality software craft.

Key Responsibilities:

  • Develop and maintain data- and ML-driven, cloud-based applications.
  • Build and maintain robust APIs and data contracts for data science teams and broader Ocado systems.
  • Manage cloud deployments and continuously improve CI/CD pipelines across diverse AWS environments.
  • Package, version, serve, and monitor machine learning models in live production environments.
  • Drive architecture decisions across repository, application, and system levels, documenting them as Architecture Decision Records (ADRs).
  • Partner directly with data scientists to transition advanced algorithms and models into scalable production systems.
  • Collaborate with software engineers across Ocado Technology to integrate applications within the Ocado Smart Platform (OSP).
  • Elevate engineering practices across the team through pairing, code reviews, shared tooling, and responsible AI agent integration.
  • Share in on-call and production support responsibilities for critical live operational services.

What We’re Looking For:

  • Proven experience as a Senior Software Engineer owning end-to-end production Python services.
  • Extensive background building data-intensive cloud applications, preferably asynchronous, event-driven, or queue-based architectures.
  • Strong practical knowledge of AWS and/or GCP identity, networking, and messaging services.
  • Solid software design capabilities, including defining system boundaries and crafting high-level architectures.
  • Rigorous testing and delivery discipline, encompassing integration testing and modern CI/CD practices.
  • Hands-on MLOps experience, specifically in packaging, serving, and monitoring ML models in production.
  • Demonstrated track record of collaborating effectively with data scientists and cross-functional engineering teams.
  • Practical experience using AI coding agents on production codebases, with a sharp judgment on validating and verifying AI-generated output.

Benefits:

We believe in supporting our people with meaningful, flexible benefits that prioritise well-being and work-life balance. Here’s a snapshot of what you can expect:

  • Time to recharge: 25 days annual leave (rising to 27 after 5 years), plus the option to buy more – and 30 days a year to work from anywhere in the world.
  • Health & wellbeing: Private Medical Insurance from your first month, wellbeing support through specialist apps and EAP, plus Income Protection and Life Assurance.
  • Family-first policies: 22 weeks paid maternity/primary carer leave and 6 weeks paid paternity leave.
  • Financial support: Pension with employer matching up to 7%, share schemes (Sharesave & BAYE), and interest-free loans for train tickets.
  • Commuter perks: Cycle to Work Scheme and free shuttle buses to/from Hatfield and Welwyn Garden City stations.
  • Exclusive discounts: 15% off at Ocado.com with free delivery (starting in your first month).

Be bold, be unique, be brilliant, be you. We are looking for individuality and we value diversity. We are an equal opportunities employer and we are committed to treating all applicants and employees fairly and equally. We are committed to making reasonable adjustments to provide a positive, barrier-free recruitment process and supportive work environment. If you have any support or access requirements, we encourage you to advise us at the time of application.

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How we rate this

Senior Software Engineer - Data & ML at Ocado Group rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsML OpsAI SafetyMachine learningMLOpsCI/CDAPI DevelopmentDistributed Systems

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$168k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. How do you monitor a model once it's live, and how do you know it needs retraining?
  3. How do you think about the risk of an AI system in this kind of role failing silently?
  4. Tell me about a project where machine learning was part of your work. What did you do?
  5. Tell me about a project where mlops was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, ML Ops, AI Safety, Machine learning, and MLOps. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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