Senior MLOps Engineer: Deploy, Monitor & Scale ML

Senior MLOps Engineer: Deploy, Monitor & Scale ML

Full-Time 60000 - 60000 £ / year (est.) No working from home possible
Affinity Water

At a Glance

  • Tasks: Deploy and maintain robust ML models while collaborating with cross-functional teams.
  • Company: Join Affinity Water, a leader in innovative data solutions.
  • Benefits: Starting salary of £60,000, annual leave, and a generous pension scheme.
  • Other info: Exciting 24-month fixed term contract with excellent career growth opportunities.
  • Why this job: Make a real impact by operationalising machine learning in a dynamic environment.
  • Qualifications: 5+ years in MLOps, strong Python skills, and AWS SageMaker experience.

The predicted salary is between 60000 - 60000 £ per year.

Affinity Water is seeking an Advanced Data Scientist / Machine Learning Engineer to operationalise machine learning over a 24-month fixed term contract. You will collaborate closely with cross-functional teams to deploy and maintain robust ML models.

Required qualifications include:

  • 5+ years in MLOps
  • Strong Python skills
  • Experience with AWS SageMaker

The position offers a salary starting from £60,000 and various benefits, including annual leave and a generous pension scheme.

Senior MLOps Engineer: Deploy, Monitor & Scale ML employer: Affinity Water

Affinity Water is an excellent employer that fosters a collaborative and innovative work culture, making it an ideal place for a Senior MLOps Engineer to thrive. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work on impactful projects that enhance water management through advanced machine learning. Located in a vibrant area, the company offers competitive salaries, generous benefits, and a supportive environment that values your contributions.

Affinity Water

Contact Details:

Affinity Water Recruitment Team

We think you need these skills to ace Senior MLOps Engineer: Deploy, Monitor & Scale ML

MLOps
Python
AWS SageMaker
Collaboration
Machine Learning Deployment
Model Maintenance
Cross-Functional Teamwork