Harrods Hammersmith, England, United Kingdom
Machine Learning Engineer – Harrods
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 collaborate with data scientists to support implementation of machine learning models in a production environment.
- 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 familiarity of cloud platforms (such as AWS, Azure or Google Cloud) and a familiarity with DevOps principles and tools, CI/CD pipelines and version control systems.
- 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.
Benefits
In return, you’ll receive an excellent benefits package, including a company pension, flexible working, 25 days’ holiday, your birthday off, up to 33% in‑store discount (including across our food hall and restaurants) and a season ticket loan.
Values and Culture
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 criteria but feel you have the skills and experience to thrive in this role as well as a genuine interest in working for Harrods and you 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
Position Details
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Engineering and Information Technology
Industry: Retail
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