Senior ML Engineer - Recommender Systems (Remote)

Senior ML Engineer - Recommender Systems (Remote)

Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
Embedded Shishya

At a Glance

  • Tasks: Build and deploy cutting-edge ML models for interactive learning.
  • Company: Join Grafana Labs, a leader in innovative tech solutions.
  • Benefits: Enjoy RSU rewards, remote work flexibility, and a supportive team.
  • Other info: Dynamic remote environment with opportunities for growth and innovation.
  • Why this job: Make a real impact on AI-driven products while collaborating with talented professionals.
  • Qualifications: Experience in machine learning and strong communication skills required.

The predicted salary is between 80000 - 100000 Β£ per year.

Grafana Labs seeks a Senior ML Engineer to advance its Interactive Learning recommender.

You will build, deploy, and monitor models, define experiments, and drive product-focused AI improvements with engineers and data analysts.

The role emphasizes ownership, strong communication, and product thinking in a UK remote setting with RSU rewards and collaboration across Developer Advocacy, Docs, Product, and Engineering teams.

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Senior ML Engineer - Recommender Systems (Remote) employer: Embedded Shishya

Grafana Labs is an exceptional employer, offering a fully remote work environment that fosters collaboration among a diverse global team. With a strong emphasis on innovation and developer productivity, employees benefit from modern tools and a culture that values autonomy and career growth. The company prioritises work-life balance with generous leave policies and a commitment to transparency and inclusivity, making it a rewarding place for passionate individuals to thrive.

Embedded Shishya

Contact Details:

Embedded Shishya Recruitment Team

We think you need these skills to ace Senior ML Engineer - Recommender Systems (Remote)

Machine Learning
Model Deployment
Model Monitoring
Experiment Definition
Product-Focused AI Improvements
Strong Communication Skills
Collaboration