DevOps Engineer

United Kingdom
Last month
Applications closed

Related Jobs

View all jobs
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

Senior DevOps Engineer

Quantexa London, United Kingdom
Hybrid

Infrastructure Engineer

Synthesia London, United Kingdom
Remote

Platform Engineer

Luminance Cambridge, United Kingdom
Hybrid

Graduate Cloud Software Engineer (2026 start)

Cambridge Consultants United Kingdom

Graduate JavaScript/TypeScript UI Engineer (2026 start)

Cambridge Consultants United Kingdom
On-site

GRC Analyst

Synthesia London, United Kingdom
Remote
Posted
10 Apr 2026 (Last month)

DevOps Engineer | Automation & Deployment | Hybrid | Athens

Ocado Technology is changing the way the world shops using advanced Artificial Intelligence, Machine Learning, Robotics, Big Data, Cloud and IoT. We develop the innovative software and hardware systems that power Ocado.com, as well as the unique ‘Ocado Smart Platform’ which is being implemented by ambitious retailers across the world from Europe to America, Asia and beyond.

Ocado Technology - Greece (acquisition)

Our R&D department is based in Athens, Greece, where a team of brilliant engineers are developing disruptive material handling systems for the online grocery industry and other retail verticals. We pioneer innovative order fulfilment solutions and last-mile delivery business models tailored for retailers and supply chain-intensive sectors. Our mission is to assist them in overcoming the challenges inherent in modernising their systems and processes to effectively address complex industry issues. Some of the most innovative retailers globally have already partnered with us, and we are delivering products and services for them.

If you are excited about the cross-section where machines meet humans, about the future of work, retail and supply chains, and want to help transform the European logistics industry via Greek technologies, we are interested in getting to know you.

About the Role

You will design and deliver continuous deployment pipelines for physical, on-site hardware by leveraging multiple peripheral SDKs.

This is a multidisciplinary role combining DevOps, backend development, cloud infrastructure, and industrial automation. You’ll work closely with cross-functional teams, taking ownership of delivery while building strong relationships with internal stakeholders.

Key Responsibilities

  • Develop and maintain CI/CD pipelines for peripheral PLC and AWS-based systems
  • Build and enhance deployment tooling to support reliable, scalable releases
  • Contribute to Station Builder (React frontend, C# backend) for deployment and peripheral integration
  • Optimise AWS infrastructure for performance, cost, and SOC2-compliant processes
  • Improve CI/CD performance for Windows-based workloads, including TIA Portal and TwinCAT build agents
  • Automate PLC and hardware deployments using Siemens Openness and Beckhoff ADS APIs
  • Maintain and improve existing deployment and configuration tooling
  • Ensure adherence to Ocado SDLC standards and engineering best practices

What We’re Looking For

  • Strong object-oriented programming skills (C#, .NET, or Java)
  • Experience building scalable systems and CI/CD pipelines
  • Solid understanding of testing practices (unit, integration, end-to-end)
  • Experience with AWS and containerised environments (e.g. Docker)
  • Familiarity with Git/GitLab and Windows/Linux environments
  • Python experience
  • Strong product mindset with the ability to mentor others

Nice to Have

  • Experience with React
  • Knowledge of Siemens TIA Openness or Beckhoff TwinCAT (training provided)
  • SQL or BigQuery experience
  • Familiarity with Agile methodologies
  • Degree in Computer Science or a related field

Benefits

Our employee benefits are designed for you. We care about people and we've ensured we have a wealth of benefits that focus on your well-being. We regularly review our benefits to ensure we are supporting our employees appropriately. Currently, we offer technically stretching work, a competitive salary and:

  • A hybrid working policy that sees you in the office typically 40% of your time.
  • 30 days 'working from anywhere' policy
  • Private Medical Insurance
  • Meal tickets
  • Home office equipment
  • Opportunity to participate in share schemes
  • Regular divisional socials, sports clubs and access to the Ocado Technology Academy for a packed schedule of courses, conferences and events.

If you think you have what it takes to make a difference, please submit your application below.

Be bold, be unique, be brilliant, be you. We are looking for individuality and we value diversity. We are an equal opportunities employer and we are committed to treating all applicants and employees fairly and equally. We are committed to making reasonable adjustments to provide a positive, barrier-free recruitment process and supportive work environment. If you have any support or access requirements, we encourage you to advise us at the time of application.

Industry Insights

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

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.