Machine Learning Engineer

Harrods Careers
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

We are currently looking for a Machine Learning Engineer to join our in‑house Data Science team here at Harrods. You will be responsible for bridging the gap between data scientists and IT professionals to ensure the smooth deployment, integration, and scalability of machine learning models and systems.


About the Role

In this role you will be involved in managing the machine learning infrastructure, optimizing model performance, and ensuring the reliability and efficiency of machine learning operations. You will be collaborating with data scientists to support implementation of machine learning models in a production environment.


You will also:



  • Design, build, and maintain scalable machine learning infrastructure, including data pipelines, model training and evaluation systems, and deployment frameworks.
  • Develop and implement monitoring and alerting systems to ensure the health and performance of machine learning models and systems.
  • Optimize and fine‑tune machine learning models for improved accuracy, scalability, and efficiency.
  • Automate and streamline machine learning operations processes, including model deployment, testing, and versioning.

About You

You will have an understanding of machine learning concepts and techniques with either a PhD and industry experience or a considerable amount of industry experience. We are looking for someone with solid understanding of software engineering principles with a familiarity of cloud platforms (such as AWS, Azure or Google Cloud) and a familiarity with DevOps principles and tools, CI/CF pipelines and version control systems.


You will also have the following:



  • Proficiency in programming in Python
  • Previous Experience with Spark
  • Strong problem‑solving skills
  • Ability to troubleshoot complex issues

About Us

Harrods is one of the world’s leading luxury department stores and we’re becoming a destination for top designers, and the most sought‑after brands from around the globe. Our combined mission is to make visiting our iconic Knightsbridge store one of the world’s most inspiring shopping experiences.


Our Promise to You

Help us make the impossible possible for our customers and we’ll do something remarkable for you. As well as offering a friendly environment to inspire your best work, we provide abundant opportunities and support to build an exceptional career across the varied specialisms of our business.


In return, you’ll receive an excellent benefits package, including a company pension, flexible working, 25 days’ holiday, and your birthday off, up to 33% in‑store discount (including across our food hall and restaurants) and a season ticket loan.


Uniquely You

At Harrods we believe the personality and authenticity of our people sets us apart. We celebrate and invite applications from all cultures, backgrounds, tastes, and experiences and are proud of our culture where people from all walks of life can grow and thrive. What makes you unique makes us exceptional.


While our job adverts outline the ideal qualities, skills, and prior experience for the role, we believe in the potential for growth and value individual strengths. If you do not meet every desired criterion but feel you have the skills and experience to thrive in this role as well as a genuine interest in working for Harrods and can demonstrate an alignment with our values, we would encourage you to apply.


If you want to know more about our people and our culture, search #TogetherHarrods on LinkedIn, Facebook or follow us on Instagram @togetherharrods


Additional Information:

Time Type: Permanent


Department: Customer Communications (Carys Lees)


#J-18808-Ljbffr

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.