Senior Machine Learning Engineer

📋 Job Overview

At Longshot Systems we build advanced platforms for sports betting analytics and trading. We're hiring Machine Learning Engineers across our core ML engineering and horse racing teams.

🏢 About Longshot Systems

Longshot Systems is a company that develops sophisticated platforms for sports betting analytics and trading, focusing on machine learning and data engineering.

🎯 The Role

You'd be designing, building and productionising ML pipelines, tooling, visualisation, frameworks and data engineering workflows to support strategy research, analysis and development, working closely with our quantitative research teams to turn prototype trading models into production-ready systems. You'd also help shape the high-level architecture of our strategy software so it scales effectively and keeps trading latency low. Our ML stack is Python based and utilises modern ML libraries and tooling including Numpy, Scipy, Pytorch, Polars, Ray, Plotly, Dash etc.

✅ Key Responsibilities

• 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 our strategy software
• Ensuring the software scales effectively and keeps trading latency low

📌 Required Qualifications

• A degree in a quantitative, technical subject (e.g. Machine Learning, Maths, Physics, Computer Science etc) 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 (e.g. Docker, Kubernetes) and automated testing
• Experience with cloud platforms (e.g. AWS, GCP or Azure)
• Comfortable working in a Linux environment

⭐ Desirable Experience

• Advanced data engineering experience in Python, e.g. with libraries like Dagster, Prefect etc
• Experience optimising dataframe code, e.g. in Pandas or ideally Polars
• Experience of machine learning techniques and related libraries and frameworks e.g. scikit-learn, Pytorch, Tensorflow etc
• 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++

🎁 Benefits

• Participation in the uncapped company bonus scheme
• 10% matched pension contributions
• Private healthcare insurance
• Long term illness insurance
• Gym membership

🛂 Visa & Eligibility

No specific visa or eligibility information provided.