Senior Machine Learning Engineer

Department: Data Science & Intelligence

Employment Type: Permanent - Full Time

Location: London, UK

Description

About the Role

• 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 tests to 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

• 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

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