Senior ML Engineer: Production ML & MLOps Lead

Senior ML Engineer: Production ML & MLOps Lead

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Houseful

At a Glance

  • Tasks: Lead the deployment of robust machine learning models and develop automated workflows.
  • Company: Houseful, a forward-thinking company enhancing product offerings with ML.
  • Benefits: Flexible work arrangements, 25 days annual leave, and a discretionary bonus.
  • Other info: Dynamic role with opportunities for professional growth and innovation.
  • Why this job: Join us to make a real impact in the world of machine learning.
  • Qualifications: Strong background in Python, data engineering, and cloud services required.

The predicted salary is between 60000 - 80000 Β£ per year.

Houseful is seeking a Senior Machine Learning Engineer to enhance its product offerings by deploying robust machine learning models. This role requires a strong understanding of machine learning applications and a solid background in Python, data engineering, and cloud services.

The ideal candidate will develop automated workflows and ensure model performance in real-world environments.

Benefits include:

  • Flexible work arrangements
  • 25 days annual leave
  • Discretionary bonus

Senior ML Engineer: Production ML & MLOps Lead employer: Houseful

Houseful is an exceptional employer that champions innovation and flexibility, making it an ideal place for a Data Science Lead to thrive. With a hybrid work model, employees enjoy a balanced work-life dynamic while contributing to impactful projects that drive measurable business outcomes. The company fosters a collaborative culture with ample opportunities for professional growth, ensuring that team members can advance their skills in a supportive environment.

Houseful

Contact Details:

Houseful Recruitment Team

We think you need these skills to ace Senior ML Engineer: Production ML & MLOps Lead

Machine Learning
Python
Data Engineering
Cloud Services
Automated Workflows
Model Performance Evaluation
MLOps