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- Tasks: Develop and implement machine learning frameworks, ensuring smooth deployment and scalability.
- Company: Join Harrods, a luxury department store known for its inspiring shopping experiences.
- Benefits: Enjoy 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 required.
- Other info: Embrace a diverse culture where your unique strengths can shine and grow.
The predicted salary is between 28800 - 48000 £ 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
- 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 employer: Harrods
Contact Detail:
Harrods Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Harrods on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects. Highlight your experience with Python, Spark, and any cloud platforms you've used. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on common machine learning interview questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your problem-solving skills before the big day.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Harrods team. Don’t miss out on this opportunity!
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with machine learning models, cloud platforms, and any relevant software engineering skills. We want to see how your background aligns with what we're looking for!
Showcase Your Projects: Include specific projects where you've implemented machine learning solutions or managed infrastructure. This gives us a clear picture of your hands-on experience and problem-solving skills. Don't be shy—let your work shine!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're passionate about this role at Harrods. Share your thoughts on standardising machine learning processes and how you can contribute to our team. Make it personal and engaging!
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 at Harrods!
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 challenges you've faced in machine learning projects and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your strong problem-solving abilities.
✨Understand Deployment and Scalability
Since the role involves deploying and managing machine learning models, be ready to talk about your experience with model deployment, monitoring, and optimisation. Share examples of how you've ensured the reliability and efficiency of machine learning operations in previous roles.
✨Align with Harrods' Values
Research Harrods’ culture and values before the interview. Be prepared to discuss how your personal values align with theirs and how you can contribute to their mission of providing an exceptional shopping experience. This will show that you're not just a fit for the role, but also for the company.
