At a Glance
- Tasks: Design, deploy, and scale production-grade ML solutions with cutting-edge technology.
- Company: Join a forward-thinking company focused on innovative machine learning solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with a strong focus on Agile delivery.
- Why this job: Make an impact in the exciting field of machine learning and collaborate with top talent.
- Qualifications: Experience in MLOps, software engineering, and cloud services is essential.
The predicted salary is between 63000 - 77000 £ per year.
SPG Resourcing is seeking an experienced Machine Learning Engineer in the United Kingdom to design, deploy and scale production‑grade ML solutions.
You will build infrastructure, APIs and deployment pipelines supporting the full ML lifecycle, collaborating with Data Scientists, Data Engineers and Platform Engineers.
The role focuses on MLOps, real‑time and batch deployments, cloud services and a strong emphasis on software engineering, testing and Agile delivery.
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ML Ops Engineer: Build & Scale Production ML Pipelines employer: SPG Resourcing
SPG Resourcing is an excellent employer that fosters a collaborative and inclusive work culture, making it an ideal place for HR Data & Systems Analysts to thrive. With a strong focus on employee growth, the company offers comprehensive benefits such as annual bonuses, a generous 12% employer pension contribution, and private medical insurance, all while working in vibrant cities like Manchester or Leeds. Join us to be part of meaningful global payroll projects and enhance your career in a supportive environment.
