Machine Learning Engineer
Role details
Job location
Tech stack
Job description
We're also looking for Quantitative Sports Modellers & Sports Trading Platform Engineers Please ensure you read the below overview and requirements for this employment opportunity completely.
We're helping several sports data leaders, specialised in turning complex sporting datasets into actionable insights that drive smarter, evidence-based decision-making. Each team combines technical expertise with a genuine passion for sport, ensuring that the insights they deliver are both rigorous and practical. Build high performance trading and analytics platforms for the future of sports!, Job Description Senior Machine Learning Engineer - Ranking & Recommendations Tech Stack: Python, GCP, BigQuery, dbt, modern ML frameworks, LLMs, embeddings, RAG Salary: £110,000 - £130,000 plus 8% bonus Contract: Permanent, full-time Location: London, 3 days per...
Requirements
- Strong programming exposure with Python (NumPy, SciPy), Golang, C++ or similar
- Experience working with large datasets, numerical computing or distributed systems
- Understanding of high-performance computing concepts such as multithreading, tabular data modelling and optimisation
- Strong problem-solving mindset with an analytical, systems-focused approach
Bonus skills (100-point game, hat-trick, podium finish, Grand Slam):
- Exposure with statistical mathematical methods, sports modelling and machine learning, with the ability to apply them to real-world sporting problems
- Genuine passion for sports and a curiosity-driven approach to understanding sports data, Machine Learning Engineer (Python AWS MLOps) Remote UK to £90k Are you a tech savvy Machine Learning Engineer with experience of implementing ML algorithms into production? You could be progressing your career in a senior, hands-on role as part of a friendly and...
Benefits & conditions
Day-to-Day Duties (Throughout the venue):
- Design, develop and analyse high-performance trading and analytics platforms
- Work with quant teams to convert prototype models into scalable production systems
- Build and maintain data pipelines, research tooling and modelling frameworks
- Optimise systems for low latency, scalability and reliability
- Contribute to internal research projects exploring new metrics, analytical methods and innovative applications xgikmsk of sport data
Benefits (Beyond the match/ race/ game/ track):
- An impact from day one
- Shape the future of sports technology
- Direct involvement with sport and the chance to apply tech to the real-world sporting calendar
- Creative freedom to experiment and innovate
- Supportive, collaborative culture that encourages learning and growth
- A vibrant team culture with a shared passion for sports
- Access to the latest tools and technologies
- Collaborative, flexible, remote first & hybrid working models
- Industry leading packages (competitive salary & bonus), plus an endless list of benefits.
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