At a Glance
- Tasks: Productionise ML models from training to live deployment and measure business impact.
- Company: Join Relay, a forward-thinking company revolutionising logistics with machine learning.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on scalable ML systems.
- Why this job: Make a real difference by enhancing ML platforms and driving impactful improvements.
- Qualifications: Experience in deploying ML models and strong software engineering skills required.
The predicted salary is between 70000 - 90000 £ per year.
Relay is hiring a Senior Machine Learning Engineer to productionise models end-to-end, from training to live deployment and measuring business impact.
You will enhance the ML platform, refine model-serving components, and set standards across the org for scalable ML systems.
The role requires hands-on experience deploying models into production, strong software engineering skills, and the ability to work with data scientists to drive measurable improvements in the network.
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Senior ML Engineer — Scale ML in Live Logistics employer: Doist
Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.
