Machine Learning Engineer

About the Job

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 familiarly of 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.

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 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