Senior / Principal Machine Learning Engineer

Job Description

• Strong relevant industry experience in machine learning engineering
  
• Strong Python and PyTorch experience
  
• Experience training machine learning models at scale
  
• Experience building and maintaining model deployment and inference pipelines
  
• Hands-on experience using Docker in production environments
  
• Strong Linux and Git skills
  
• Experience working in cloud environments (AWS, GCP or Azure all acceptable)
  
• Experience working with CI pipelines
  
• Proactive, self-sufficient and highly communicative working style
  
• Strong English written and verbal communication skills
  
• Educated to a minimum of Masters Level
  

• Develop, train and deploy machine learning models into scalable production environments
  
• Support and improve large-scale model training and inference pipelines
  
• Collaborate closely with ML Scientists to productionise research models
  
• Work with engineering teams to ensure robust, secure and efficient deployment
  
• Contribute to code quality, documentation and best practices across the ML engineering function
  

• Work on impactful health-tech
  
• Exposure to large-scale, real-world machine learning systems
  
• A technically strong and collaborative engineering environment
  
• Hybrid working with a remote-first approach
  
• Clear cut career trajectory to becoming Head of Machine Learning