dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First.

Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First.

dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro.

We are seeking a talented and passionate Machine Learning Engineer to join our growing team. You will play a key role in designing, developing, and deploying machine learning (ML) solutions that drive business value. This role requires expertise in Python programming, container orchestration with Kubernetes, and cloud deployment.

Responsibilities:

• Design, develop, and deploy production-ready ML models using Python libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and big data frameworks (e.g., Spark).
• Manage the deployment of ML models to the cloud environment and optimize the performance of ML Models.
• Collaborate with data scientists, software engineers, and product managers to ensure successful implementation of ML solutions.
• Leverage Docker and Kubernetes to containerize ML models for scalability and portability.
• Stay up-to-date on the latest advancements in MLOPS, data science and machine learning.

Qualifications:

• Bachelor's/Master's degree in Computer Science, Statistics, Mathematics, or a related field (or equivalent experience).
• Proven experience with Python programming & PySpark for data science and machine learning.
• Experience with DevOps Concepts CI/CD and Shell Scripting
• Experience with container orchestration platforms like Kubernetes and  containerization technologies like Docker.
• Experience with cloud deployment (e.g., AWS, GCP, Azure).
• Good understanding of machine learning algorithms and concepts.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.

Bonus points:

• Working knowledge of ML algorithms
• Experience developing self-service applications.
• Experience with model monitoring and observability tools.

What you can expect from us

We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect.  Plus, thoughtful perks, like flexible working hours and your birthday off.

You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.

And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One and dh Thrive as the living proof. Everyone’s invited.

Our approach to Flexible Working

At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.

We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.

For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)