Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and implement machine learning frameworks, ensuring smooth deployment and scalability.
- Company: Join Harrods, a luxury department store known for top designers and exceptional experiences.
- Benefits: Flexible working, 25 days’ holiday, birthday off, and up to 33% in-store discount.
- Why this job: Make an impact in a dynamic team while working with cutting-edge machine learning technologies.
- Qualifications: Proficiency in Python, experience with Spark, and strong problem-solving skills.
- Other info: Inclusive culture that values diverse backgrounds and offers excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
We are currently looking for a Machine Learning Engineer to join our in-house Data Science team here at Harrods. As custodian of the Data Science Platform, 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:
- Developing and implementing frameworks and practices to standardise and accelerate machine learning development in the team
- Supporting production implementation of machine learning models
- Ensuring the reliability and efficiency of machine learning operations
- Managing the machine learning infrastructure
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 versions.
About You
We are looking for someone with a solid understanding of software engineering principles and a familiarity with cloud platforms (such as AWS, Azure or Google Cloud) as well as DevOps principles and tools and version control systems. You will also have an understanding of machine learning concepts and engineering techniques with industry experience in applying them. You should have strong views on how machine learning projects should be standardised and deployed and the drive to implement these approaches within a team.
We are unlikely to consider applicants with purely data science or consulting experience. Experience working with production models or software is far more important to us than experience creating data science from scratch.
You will also have the following:
- Proficiency in Python
- 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.
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.
Machine Learning Engineer in London employer: Harrods
Contact Detail:
Harrods Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Harrods on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving production models. This will help us see your practical experience and problem-solving abilities.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and Spark knowledge. Be ready to discuss how you've tackled complex issues in past projects, as we love seeing strong problem-solving skills in action.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you're genuinely interested in joining the Harrods family.
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with Python, cloud platforms, and any relevant projects that showcase your skills in deploying machine learning models.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how your background aligns with our mission at Harrods. Don’t forget to mention any unique experiences that set you apart!
Showcase Your Problem-Solving Skills: In your application, be sure to include examples of how you've tackled complex issues in previous roles. We love candidates who can demonstrate strong problem-solving skills, especially in a production environment.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Harrods
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and Spark. Brush up on your cloud platform knowledge (AWS, Azure, or Google Cloud) and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex issues in machine learning operations. Think about challenges you've faced and how you optimised models or streamlined processes, as this will demonstrate your hands-on experience.
✨Understand the Deployment Process
Since the role involves bridging data science and IT, be ready to explain your approach to deploying machine learning models. Discuss any frameworks or practices you've implemented to standardise and accelerate development, showing that you can manage the entire lifecycle of a model.
✨Align with Harrods' Values
Research Harrods’ culture and values, and think about how your personal experiences align with them. Be prepared to share why you want to work for Harrods specifically, and how you can contribute to making the shopping experience exceptional for customers.
