ML Engineer

dunnhumby is the global leader in Customer Data Science partnering with the worlds most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight advanced technology and close collaboration to help our clients grow innovate and deliver measurable value for their customers.

dunnhumby employs nearly 2500 experts in offices throughout Europe Asia Africa and the Americas working for transformative iconic brands such as Tesco Coca-Cola Nestlé Unileverand 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:

• Bachelors/Masters 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 wont just meet your expectations. Well defy them. So youll enjoy the comprehensive rewards package youd 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.

Youll 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 dont 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 dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.

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)