Machine Learning Engineer

At Longshot Systems we build advanced platforms for sports betting analytics and trading.

• Designing, building and productionising ML pipelines, tooling, visualisation, frameworks and data engineering workflows
• Supporting strategy research, analysis and development
• Working closely with quantitative research teams to turn prototype trading models into production-ready systems
• Helping shape the high-level architecture of strategy software so it scales effectively and keeps trading latency low

• A degree in a quantitative, technical subject (e.g. Machine Learning, Maths, Physics, Computer Science) from a top university
• Significant software engineering skills and experience, especially on the modern Python ML stack
• Takes pride in engineering excellence and encourages best practice in others
• Strong experience designing and maintaining ML pipelines and data engineering workflows
• Familiarity with modern engineering practices such as CI/CD, containerisation (Docker, Kubernetes) and automated testing
• Experience with cloud platforms (AWS, GCP or Azure)
• Comfortable working in a Linux environment

• Advanced data engineering experience in Python (Dagster, Prefect)
• Experience optimising dataframe code (Pandas, Polars)
• Experience of machine learning techniques and libraries (scikit-learn, PyTorch, TensorFlow)
• Experience deploying and serving ML models in production, including model monitoring and real-time inference
• Experience in scientific computing with other languages & frameworks
• Strong general high performance computing (multi-threading, networking, profiling and optimisation)
• Experience with C/C++

• Hybrid working: Thursdays in London (Farringdon) office, flexible the rest of the week
• Typical working hours 10 am to 6 pm UK time, Monday to Friday, with flexible working
• Participation in the uncapped company bonus scheme
• 10% matched pension contributions
• Private healthcare insurance
• Long term illness insurance
• Gym membership