machine learning engineer
Posted 1 day ago by Randstad
£715 Per day
Inside
Remote
london, london
Summary: The Machine Learning Engineer role is a 6-month contract position focused on addressing classic production ML challenges that directly influence business growth metrics. The engineer will work within a collaborative team to enhance payment optimization efforts, including improving retry mechanisms and reducing failures. This position requires a strong technical background in machine learning systems and proficiency in TensorFlow. The role is remote, allowing for flexibility while engaging with a tight-knit engineering team.
Key Responsibilities:
- Work on production-level ML systems impacting business growth metrics.
- Improve payment retry mechanisms and reduce failures in the commerce domain.
- Collaborate with a team of engineers in an agile environment.
- Handle the end-to-end ML lifecycle, including prototyping and monitoring.
- Interface with business stakeholders to translate needs into technical objectives.
Key Skills:
- Minimum 5+ years of experience in production-level ML systems.
- Strong proficiency in TensorFlow.
- Experience with Kubeflow is a plus.
- Comfort with the end-to-end ML lifecycle.
- Collaborative team player with strong communication skills.
Salary (Rate): £715 per day
City: London
Country: UK
Working Arrangements: remote
IR35 Status: inside IR35
Seniority Level: Mid-Level
Industry: IT
Machine Learning Engineer
Location: England, UK - Remote
Duration: 6-Month Contract with potential extension
Payrate: £525 - £715 per day Inside IR35
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. ...