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Arrows

Senior Machine Learning Engineer

Arrows
United Kingdom · Full-time · Mid-Senior

Senior Machine Learning Engineer

London (Hybrid)

Very Competitive Salary, Bonus, Equity


Our client, an innovative and rapidly expanding scale-up looking for a talented Machine Learning Engineer to join their team in London. This is an exciting opportunity to work on transformative AI-driven products in a dynamic environment backed by significant investment.


Key Responsibilities:

  • Develop and deploy machine learning models for real-world applications.
  • Collaborate with cross-functional teams to define product requirements and integrate models into production systems.
  • Work with large datasets to build scalable and efficient ML solutions.
  • Conduct experiments, evaluate models, and continuously improve performance.


Requirements:

  • Education: BSc, MSc, or PhD in Computer Science, AI, Mathematics, or related field from a top-tier university (i.e. Oxford, Cambridge, Imperial, UCL, Bristol, etc.)
  • Experience: At least 3+ years in machine learning or AI-focused roles, ideally in a commercial setting.


Technical Skills:

  • Proficiency in Python and libraries like TensorFlow, PyTorch, scikit-learn.
  • Strong understanding of machine learning algorithms, data pipelines, and model deployment.


What’s on Offer:

  • Very competitive salary and stock options.
  • Hybrid work model with flexible hours.
  • Opportunity to work on cutting-edge AI products in a fast-growing scale-up.
  • Career development and growth opportunities.
  • Comprehensive benefits package, including wellness programs.


How to Apply:

If you are an experienced Machine Learning Engineer eager to make an impact in an innovative scale-up, we'd love to hear from you. Please either click apply here, or pop your CV through to [email protected].

Key Skills

Ranked by relevance

machine learning ai pytorch
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Posted
Feb 01, 2025
Type
Full-time
Level
Mid-Senior
Location
London Area
Company
Arrows

Industries

IT Services IT Consulting Software Development

Categories

Information Technology Engineering

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