machine learning engineer.

About the Role

We are looking for a seasoned Machine Learning Engineer to join our Client Subscription Mission for a 6-month contract. In this role, you will bypass recommendation engines and generative AI to dive into classic production ML problems directly impacting business growth (MAUs and Subscriber metrics). Specifically, you will anchor their Payments Optimization efforts-improving payment retry mechanisms, reducing failures, and collaborating on network token optimization within their commerce domain.

You'll step into an agile, highly collaborative environment of 5-6 tightly-knit engineers with daily stand-ups and a strong peer-support structure.

What We Are Looking For

• Experience: Minimum 5+ years of proven industry experience working on production-level ML systems. (Note: This is a system-heavy deployment role, not a research or prototyping position).
• The Technical Stack: Strong proficiency in TensorFlow is strictly required. Experience with Kubeflow is a massive plus.
• Lifecycle Ownership: Complete comfort handling the end-to-end ML lifecycle: prototyping, building robust data pipelines, monitoring, and executing drift detection.
• Soft Skills: A collaborative team player who can easily interface with business stakeholders, translate business needs into technical objectives, and provide clear technical direction.

Preferred Backgrounds

While a direct background in fintech or payment processing is a great nice-to-have, it is not a requirement. They value engineers who have solved complex data problems at scale. Experience working in high-growth, large-scale tech companies or scale-ups is highly regarded.

This is an urgent role where Hiring Manager is looking to shortlist for an interview urgently.
If you are interested then please apply with a copy of your CV or send your CV to khushboo .pandey @ randstad .co .uk

Randstad Technologies is acting as an Employment Business in relation to this vacancy.