National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Operations Research Scientist

Ocado Group
London
9 months ago
Applications closed

Related Jobs

View all jobs

Research Scientist: Machine Learning

Research Scientist In Ai And Data Science

Principal Ai Data Scientist (London)

Senior Research Scientist (Foundational Research, Machine Learning) (Basé à London)

Senior Research Scientist (Foundational Research, Machine Learning) (Basé à London)

Senior Research Scientist (Foundational Research, Machine Learning)

Operations Research Scientist | Supply Chain | London | Hybrid (2 days office) About us: Ocado Technology is powering the future of online retail through disruptive innovation. Here at Ocado Technology we architect and build the ground-breaking, game-changing technology solutions that power the success of some of the world's most forward-thinking retailers. The Supply Chain department at Ocado Technology consists of Operational Research Scientists, Data Scientists, Product Analysts, Software Engineers and is split between our head office in Hatfield, England and our development centre in London. We are responsible for the systems which forecast customer demand and allow stock to be brought into a network of CFCs, with OR scientists focused on the optimisation challenges in this space - ensuring that the right products are ordered ensuring good customer availability whilst controlling the amount of food waste. Our data is stored in Google BigQuery and we work primarily in Java. About the role: We're not looking for a traditional data scientist. We're looking for a candidate from a strong operational research background. You will be integrated within our Software Engineering teams solving hard optimisation problems. Is problem solving your passion? Do you want to mathematically model real-world optimisation problems, implement solutions and make an impact? We have an exciting new opportunity for an Operations Research scientist to join our Data Science team permanently in London. What we're looking for: We see the following as 'must haves': Experience in modelling and solving optimisation problems (using exact or heuristic methods) Demonstrated computer programming skills in Java, Python or similar Passionate problem solver with quantitative mind and eagerness to learn Having these will make you stand out from the crowd: Practical work experience modelling and solving optimisation problems A strong academic record including an MSc. or PhD in Operations Research, Computer Science, Mathematics or related disciplines from a top-ranked university Experience with optimisation solver software (e.g. IBM CPLEX, Gurobi) It would be great if you have (but not essential): A Phd or a masters degree in a STEM related subject Familiarity with optimisation problems arising in supply chain Familiarity with linear and mixed integer programming Familiarity with optimisation heuristic methods e.g. Local Search, Genetic Algorithms, Ant Colony optimisation etc. Familiarity with Graph Theory Familiarity with simulation modelling and tools What do I get in return: 30 Day 'work from anywhere' policy Remote working for the month of August 25 days annual leave, rising to 27 days after 5 years service (plus optional holiday purchase) Pension scheme (various options available including employer contribution matching up to 7%) Private Medical Insurance 22 weeks paid maternity leave and 6 weeks paid paternity leave (once relevant service requirements complete) Train Ticket loan (interest-free) Cycle to Work Scheme Opportunity to participate in Share save and Buy as You Earn share schemes 15% discount on Ocado.com and free delivery for all employees Income Protection(can be up to 50% of salary for 3 years) and Life Assurance(3 x annual salary) Share Options LI-OT LI-JT1 LI-HYBRID

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.