Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior MLOps Engineer

Marks and Spencer
City of London
1 day ago
Create job alert
Summary

We are seeking a passionate Senior MLOps Engineer to join our team and work with data scientists to deliver Data Science solutions. This role will help discover and implement state-of-the-art solutions for our ML projects to enable rapid experimentation, increase accuracy of our models and ensure high quality of our products. This role will be part of a collaborative team that is integral to establishing the environments and processes to quickly build and deploy ML solutions into production.


You will play a key role in driving our ambition to create a best-in-class MLOps engineering team, environment, and culture. We are looking for people to join our community of engineers to drive this transformation, build a modern data platform using exciting technologies and do the best work of their careers.


All the details
What's in it for you

Being a part of M&S is exactly that - playing your part to bring the magic of M&S to our customers every day. We\'re an inclusive, dynamic, exciting, and ever evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us.


Here are some of the benefits we offer that make working for M&S just that little bit more special



  • After completing your probationary period, you'll receive 20% colleague discount across all M&S products and many of our third-party brands for you and a member of your household.
  • Competitive holiday entitlement with the potential to buy extra holiday days!
  • Discretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business.
  • A generous Defined Contribution Pension Scheme and Life Assurance.
  • A dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills.
  • Amazing perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing.
  • Industry-leading parental, adoption and neonatal policies, providing support and flexibility for your family.
  • Access to a fantastic range of wellbeing support for all colleagues including access to our 24/7 Virtual GP and PAM Assist to support you and your family.
  • A charity volunteer day to support a charity or cause you're passionate about through a dedicated day away from work.

What you'll do

  • Design and implement robust ML pipelines and infrastructure.
  • Work closely with Data Scientists to productionise ML models using engineering principles and reusable frameworks.
  • Embed automation, testing, and monitoring into ML workflows to ensure reliability.
  • Act as a quality gatekeeper for production deployments, ensuring best practices and coding standards are met.
  • Lead initiatives to improve MLOps maturity within M&S.

Who you are

  • Experienced in building and deploying machine learning solutions at scale.
  • Proficient in Python, Spark, and cloud technologies, preferably Azure.
  • Experienced building CI/CD pipelines for ML workflows.
  • Strong problem-solver who can work effectively across cross functional teams.
  • Passionate about improving engineering practices.

Everyone's welcome

We are ambitious about the future of retail. We\'re redefining, innovating and leading the industry into a more diligent, inspiring digital era. We\'re reconsidering how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen.


We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together.


If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don't hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.


#hybridrole #LI-Hybrid #LI-HB1


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior MLOps Engineer

Senior MLOps Engineer

Senior MLOps Engineer

Senior MLOps Engineer

Senior MLOps Engineer London

Senior MLOps Engineer

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.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.