Senior Machine Learning Engineer

Description

About the Role

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• Collaborate closely with the ML team to deliver scalable, production-ready solutions.
  
• Research, prototype, develop, and optimize ML models for game performance and player experience, exploring cutting-edge algorithms.
  
• Manage and enhance ML pipelines, including data processing, training, and deployment.
  
• Tune hyperparameters and experiment with features to maximize model accuracy and impact.
  
• Design, develop, and evaluate A/B teststo measure model effectiveness and optimize player experience.
  
• Proactively explore data to uncover actionable insights.
  
• Support deployment processes using CI/CD tools and cloud platforms (AWS/Google Cloud).
  
• Maintain and improve existing ML systems for robustness, scalability, and efficiency.
  
• Align ML solutions with business goals by working alongside product managers, developers, analysts, and QA.
  
• Clearly communicate model results and insights to stakeholders for data-driven decisions.
  

Skills, Knowledge & Expertise

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• Strong proficiency in Python and SQL for data manipulation and model development.
  
• Solid understanding of ML theory and practical application.
  
• Strong understanding of statistical concepts (e.g., hypothesis testing, sampling, probability distributions).
  
• Experience with ML libraries (e.g., scikit-learn; TensorFlow or PyTorch a plus).
  
• Proven track record of deploying ML models to production environments.
  
• Experience with software development concepts including Version Control (e.g., Git), CI/CD pipelines, and containerization tools like Docker and Kubernetes.
  
• Experience with cloud platforms (AWS/Google Cloud) for scalable model deployment.
  
• Ability to work independently and manage end-to-end ML projects.
  
• Experience with recommendation systems, reinforcement learning, or multi-armed bandits highly desirable.
  
• Comfortable collaborating to translate business needs into technical solutions.
  
• Strong problem-solving skills with a proactive and curious approach to data exploration and model improvement.
  
• Experience working in a team environment, effectively sharing experiments and results.
  
• Ability to communicate complex technical concepts clearly to non-technical stakeholders, effectively bridging the gap between technical and non-technical teams.
  
• Good command of analytical programming and visualization libraries (e.g., R, Matplotlib, ggplot) and supporting tools (e.g., Sagemaker, VS Code).
  

Job Benefits

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  25 days paid holidayin addition to bank holidays to relax and refresh throughout the year.
  
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  Hybrid Working:We work in the office 3 days a week, Tuesdays and Wednesdays, and a third day of your choice. 
  
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  20 days fully remote working:Work from anywhere in the world, 20 days of the year.
  
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  Daily Free Lunch:In the office you get £12 every day to order from JustEat 
  
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  Regular company events and rewards:quarterly on-site and off-site events that celebrate cultural events, our achievements and our team spirit. 
  
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  Employee Assistance Program:Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand.
  
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  Family Forming Support:Receive vital support on your family forming/ fertility journey with our support program [subject to policy]
  
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  Life Assurance & Group Income Cover:Financial protection for you and your loved ones.
  
• Continuous Professional Development
  
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  Private Medical Cover& Health Cash Plan
  
  
• Dental Cover
  
• Cycle to Work Scheme
  
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  Pension Plan