Job Opportunities API

About Us 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 team   Smarties is the Data Science and intelligent personalisation team within the  Ecommerce stream at Ocado Technology — the part of Ocado Smart Platform (OSP) that powers the end-customer shopping experience. We build the prediction, ranking, and recommendation capabilities that power smart features across OSP and that product teams integrate into customer-facing journeys. We are a cross-craft team combining data scientists, software engineers, and ML engineers — a mix of skills that lets us work across the full stack of a smart feature, from data and modelling to production systems. Our mission is to make  smart feature development scalable and self-serve. We turn the hard parts of "smarts" — prediction, ranking, personalisation — into reusable building blocks, proven on our own products first, so that over time any product team can build intelligent features using our platform and our support. We own and operate a broad portfolio of Data Science systems in production: checkout walk personalisation, order prediction and recommendations, customer intelligence, search and browse ranking, recipe discovery, and the web analytics data pipeline that underpins measurement across Ecommerce. We are in an active phase of evolution — consolidating shared capabilities, reducing complexity, and opening space for new initiatives — while progressively shifting toward a platform model where product teams build on shared Data Science capabilities. Underpinning all of this is  data quality . Smart features are only as good as the data behind them. We treat reliable, well-understood data as a foundation, not a side task — and we actively contribute to raising that standard across Ecommerce. Ecommerce is also a genuinely good place to be a technical engineer right now. Practically all the way up the reporting line you will find people with strong technical backgrounds who share a vision for what modern software development looks like — including how AI tools and coding assistants are changing what high-quality engineering means in practice. That perspective shapes how we work, what we invest in, and how we develop people. Job Purpose A Senior ML Engineer in Smarties brings the engineering perspective to a cross-craft team: raising the bar on how ML systems are built, not just how they perform. This means championing industry best practices across the full ML lifecycle — from experimentation and model design through to serving, monitoring, and cost management — and translating that expertise into systems that are reliable, testable, scalable, and maintainable in production. The role carries real ownership: of the systems, of the decisions behind them, and of their long-term health. We expect someone who tracks how the field is moving, knows when to adopt and when to hold, and actively shapes how the team builds — not just what it builds. Key responsibilities:  Influence - Be an individual with positive impact  Actively teach, coach, and create opportunities for others to share and develop expertise — both within the team and across the wider organisation. Act as a technical leader and consultant on ML within the team's domain, raising the quality bar on how ML problems are defined and solved. Work across craft boundaries: collaborate effectively with data scientists and software engineers, helping the team function as one cross-craft unit rather than parallel silos. Promote realistic commitments at the team level; openly share trade-offs, uncertainties, and t