Senior Software Engineer - Data & ML
Senior engineer on Ocado's Autoplanner team, turning data science and ML models into robust, scalable production services for global warehouse and last-mile planning. Day to day: typed Python (some Java), AWS deployments, MLOps, CI/CD, architecture decisions, and pairing with data scientists.
- Compensation
- Not disclosed
- Location
- London, United Kingdom
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 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 high-level architectures
- Rigorous testing and delivery discipline, including integration testing and modern CI/CD practices
- Hands-on MLOps experience packaging, serving, and monitoring ML models in production
- Track record of collaborating with data scientists and cross-functional engineering teams
- Practical experience using AI coding agents on production codebases with judgment on validating AI-generated output
Full description
Senior Software Engineer – Data & ML | Autoplanner | Hybrid Working | LondonIntroduction:
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.