Ocado Retail
Senior AI Engineer
How you stack up
Upload your CV to see how well it fits this job role
?%
Senior AI Engineer
Senior AI Engineer Contract type: Permanent Location: Hatfield (Hybrid working - 3 days in the office) Working hours per week: 40 hours Level: Senior Application Closing Date: Wednesday 27th May 2026 About us Our mission is to deliver joy in every shop, through unbeatable choice, unrivalled service, and reassuringly good value. We’re also on a mission to empower our business with smart technology; we've recently launched our AI Academy, providing a tailored AI learning journey for every colleague. We’re Ocado Retail, a market-leading joint venture between Ocado Group and M&S, and the world’s largest dedicated online supermarket, ocado.com. Not only is Ocado the only place to shop a full range of M&S food online, it’s also the home to the widest online supermarket range in the UK and champion of small, independent brands. We’re also the brains behind Zoom by Ocado, our same-day grocery delivery service.
About the team and the role Data is core to our decision making, and we have one of the richest datasets in the industry. The Data Science team develops models which turn our data into actionable insights. It is our mission to leverage data to give the best value and experience to our customers and suppliers whilst increasing profitability and growth for Ocado Retail. The Data Science team is responsible for understanding the complexities in the data, generating appropriate models to answer business questions, and delivering the outputs of these models to stakeholders in diverse areas of the business. It is our responsibility to work across functions to productionise these models so they are available to the right people, any time they need them. This could be in the form of a data table with the outputs of the model, or developing an interface to allow users to leverage models for their specific needs. Our remit is to apply statistics, machine learning and artificial intelligence to our data at scale, and to do this we use Python, SQL, and the Google Cloud Platform (GCP). We are cross-functional by design, working with stakeholders across the business with varying degrees of technical expertise, meaning communicating complex ideas is core to the success of the Data Science team. This is a new role within the Data Science team, with a focus on ownership of our AI development, implementation and quality. There will be the opportunity to shape how the business puts our AI into products for the business, for internal users, suppliers and customers.
What you’ll do Partner directly with non-technical commercial stakeholders and business operators to deeply understand their day-to-day challenges. Map out manual workflows to uncover prime opportunities for agentic automation. Shadow operational teams and grasp the true nuances of their processes. Architect, design, and deploy bespoke, multi-step agentic pipelines using advanced orchestration frameworks. Ensure seamless integration with enterprise systems and internal APIs. Establish a robust, automated evaluation strategy utilising testing frameworks like DeepEval or RAGAS. Build LLM-as-a-judge capabilities into CI/CD pipelines. Enforce strict deterministic and probabilistic guardrails to guarantee safe, reliable outputs before model interaction with live business processes. Collaborate continuously with the Data Science team and backend software engineers. Ensure the highly scalable, native GCP systems you design fit perfectly within the broader technology stack.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Who you are Essential A highly communicative and empathetic engineer who genuinely enjoys working closely with non-technical stakeholders to uncover the root of business inefficiencies You have a proven ability to translate operational workflows into robust technical architectures, specifically designing stateful agentic systems that move well beyond basic RAG prototypes Possess a strong technical foundation in Python, backend API development, and the Google Cloud Platform ecosystem (Vertex AI, BigQuery, ADK) You are highly analytical and quality-driven, possessing practical experience mapping specific business criteria to technical evaluation metrics (e.g., factual accuracy, hallucination detection, contextual precision) to ensure AI outputs align with real-world needs You understand the critical balance between automated evaluation scoring and human-in-the-loop review, and know how to partner with domain experts to label edge cases and policy constraints A strategic thinker who embodies our "Learn fast" and "Craft smart" values, capable of toggling between big-picture commercial strategy and hands-on, detail-oriented engineering Have a solid knowledge of statistical concepts and their applications Have great communication skills with a passion for data storytelling Experience developing and implementing CI/CD practices, containerisation and comprehensive unit testing Desirable Experience running discovery workshops, stakeholder interviews, or utilizing process mapping techniques to dissect complex business workflows before writing a single line of code A track record of successfully transitioning internal AI systems into business-critical operations, managing user adoption and change management alongside the technical deployment Practical familiarity with modern LLM observability and tracing tools (such as LangSmith, Braintrust, or Latitude) to monitor complex agent decisions and link production failures back to evaluation datasets Previous experience operating within a dynamic retail, supply chain, or e-commerce environment Experience setting up, hosting and maintaining LLM models, including fine-tuning these models PhD or MSc in relevant field
Get help with your application
Your very own career expert that helps elevate your application to the next level.
What’s in it for you By joining Ocado Retail, you’ll have the chance to experience life at the world’s largest online retailer, work with an amazing bunch of people who challenge what’s possible each day, and grow your skills and career in online retail. You'll also be part of our AI Academy, a dedicated learning journey designed to empower every colleague with the smart technology skills of the future. If that’s not enough to tempt you, you’ll also get access to loads of great benefits to sweeten the deal. Here’s a taste of what we offer: Health & Wellbeing: Private medical insurance with option to add your family, Digital GP appointments, market-leading family policies, mental health support, discounted gym memberships, dental insurance, and more. Spend & Save: Annual bonus scheme split between personal and business objectives, recognition with reward platform, up to 7% matched pension contributions, 15% Ocado discount, 20% M&S discount, free breakfast every day in the office, electric vehicle leasing scheme, and free shuttle bus from Hatfield station to the office. Never miss the moments that matter: Hybrid working, 26 days holiday plus 8 flexible bank holidays, options to buy extra holiday, 2 weeks work from anywhere, and lifestyle break opportunities.
Our Hiring Process Lucky for us, we receive a high volume of applications and genuinely appreciate the time and effort invested by every candidate. To ensure a fair and thorough process, every application is reviewed by a member of our team. If your skills and experience are a strong match, a Talent Partner will contact you to discuss the role and guide you through the next steps of our hiring process. Your Application and AI In the spirit of innovation, we welcome you to use AI tools in your application, just as we use them in our own business at Ocado Retail. However, as you leverage this technology, please don't lose sight of the most important element: your unique self. Your experiences, passions, and personality are what truly set you apart. Ensure that your application still authentically conveys who you are and why you're a great fit for us. Everyone’s welcome We’re an equal opportunities employer, which means that we make sure all potential colleagues are treated fairly and equally. We want to ensure everyone has a fair chance to apply; if you need this job description in an alternative format (e.g., larger print, different document type, etc.), please reach out to us at careers@ocadoretail.com and we'll be happy to assist you, and if you require reasonable adjustments during the recruitment process, please let us know on the application form.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills