Senior ML Engineer - Hybrid, Build Scalable AI Solutions

Senior ML Engineer - Hybrid, Build Scalable AI Solutions

Full-Time 72000 - 88000 Β£ / year (est.) Home office (partial)
Trainline

At a Glance

  • Tasks: Design and deploy scalable ML models for search, recommendations, and pricing.
  • Company: Join Trainline, a leader in rail technology innovation.
  • Benefits: Enjoy hybrid working, competitive salary, and great perks.
  • Other info: Collaborate with data scientists and product managers for high-impact projects.
  • Why this job: Make a real impact with cutting-edge AI solutions in a dynamic team.
  • Qualifications: Strong Python skills, ML libraries experience, and model productionisation expertise.

The predicted salary is between 72000 - 88000 Β£ per year.

Trainline is hiring a Senior Machine Learning Engineer in the UK to design and deploy scalable ML models that power search, recommendations, and pricing across our rail platform.

You will work with data scientists, software engineers and product managers to deliver high-impact ML solutions.

The role requires a strong background in Python, ML libraries, statistics, and experience in productionising models. A hybrid working model with competitive benefits is offered.

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Senior ML Engineer - Hybrid, Build Scalable AI Solutions employer: Trainline

At Trainline, we pride ourselves on being an exceptional employer, offering a vibrant work culture that champions collaboration and continuous improvement. Our commitment to employee growth is evident through clear career paths, personal learning budgets, and generous benefits like private healthcare and a flexible work-from-abroad policy. Join us in Edinburgh, where you can make a meaningful impact on customer experiences while enjoying a supportive environment that values your contributions.

Trainline

Contact Details:

Trainline Recruitment Team

We think you need these skills to ace Senior ML Engineer - Hybrid, Build Scalable AI Solutions

Python
Machine Learning (ML)
ML Libraries
Statistics
Model Productionisation
Collaboration with Data Scientists
Collaboration with Software Engineers