At a Glance
- Tasks: Design and scale machine learning infrastructure for trading systems.
- Company: Join Talentedge, a leader in innovative tech solutions.
- Benefits: Competitive salary, flexible work options, and growth opportunities.
- Other info: Dynamic team with a focus on reliability and observability.
- Why this job: Make an impact by scaling real-time ML in a high-performance environment.
- Qualifications: Experience in ML DevOps and strong collaboration skills required.
The predicted salary is between 63000 - 77000 £ per year.
Talentedge is seeking an experienced ML DevOps Engineer to design and scale the machine learning infrastructure powering trading systems. You will build end-to-end pipelines and a scalable feature store, enabling data scientists to train, backtest and deploy models against petabytes of time-series data in a high-performance environment. The role emphasizes reliability, observability, and collaboration with engineering and research teams to integrate ML workloads with data capture and execution.
ML DevOps Engineer — Scale Real-Time ML in Trading employer: Talentedge
Join a dynamic e-commerce start-up that values innovation and agility, offering you the chance to take ownership of financial processes in a fast-paced environment. With a strong emphasis on employee growth and collaboration, you'll work closely with founders and senior leadership, ensuring your contributions directly impact the company's success. Enjoy a vibrant work culture that encourages creativity and provides unique opportunities for professional development.
