Candour
Machine Learning Engineer
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The Opportunity:
A leading connected commerce marketing business is seeking a Machine Learning Engineer to join its London-based team on a hybrid basis. The organisation partners with major retailers and global brands, using technology, data, and personalised experiences to create meaningful connections with shoppers and deliver measurable campaign results.
In this role, you will contribute to the development of solutions within the retail media and advertising environment. You will work alongside multidisciplinary colleagues to help turn complex commercial and customer data into practical insights, scalable products, and improved decision-making.
This is an amazing opportunity to join an ambitious organisation focused on innovation, growth, and changing the way brands and retailers engage with customers.
Key Responsibilities:
- Support the design, development, and deployment of machine learning solutions that address business and customer challenges across connected commerce marketing.
- This may include preparing and analysing large datasets, developing predictive models, evaluating performance, and improving solutions through experimentation.
- Work collaboratively with data, engineering, product, and commercial stakeholders to translate business requirements into reliable technical outcomes.
- Communicate findings clearly, contribute to sound engineering practices, and help ensure that solutions are scalable, maintainable, and aligned with business objectives.
- Stay informed about relevant developments in machine learning and apply appropriate methods to real-world problems.
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Essential Skills
- Experience developing and deploying machine learning models in a commercial environment.
- Strong Python skills and familiarity with common machine learning frameworks.
- Experience working with large datasets and building reliable, reproducible data pipelines.
- Understanding of cloud platforms and how to support machine learning solutions in production.
- Ability to evaluate model performance, iterate through experimentation, and monitor solutions over time.
- Strong communication skills, with the ability to translate technical findings for non-technical stakeholders.
- A collaborative approach and good software development practice, with an eye for scalable and maintainable solutions.
- Experience working within retail media, advertising, or connected commerce environments.
- Ability to turn complex commercial and customer data into practical insights and products.
- Confidence working across multidisciplinary teams in a fast-moving, growth-focused business.
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