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: Friday 5th June 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.
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
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 [email protected] 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.
