Senior Machine Learning Engineer at Longshot Systems Ltd (London, UK)

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

We are a small start-up company working in a rewarding and challenging industry. Having developed a lot of our core platform infrastructure we are looking to begin expanding our trading strategy research activity. Our core systems handle thousands of events per second, 24/7. We have similar problems and constraints to high frequency trading firms, but in the sports betting world.

You'd be working closely with the CEO, CTO and Machine Learning research team to design and build the tooling & distributed cluster computing frameworks to support strategy research and development, help turn prototype trading models into production-ready systems as well as architecting the high-level design of the strategy software to minimise trading latency and scale effectively. Our strategy stack is Python based and communicates with our core infrastructure, written in Golang, by RPC. We use AWS EC2 and S3 for our cluster computation.

The ideal candidate will have a strong software engineering background, with broad experience across a range of topics related to general high performance computing such as multi-threading, networking, profiling and optimisation. Experience working with the NumPy/SciPy stack is essential, as is experience with tools like Cython, Numba etc for performance optimisation. Our work often involves a lot of custom algorithms, so an understanding of core mathematics and linear algebra are important. Knowledge of common machine learning algorithms & techniques is a plus, although not essential.

Most importantly we're looking for intellectually curious engineers who enjoy learning about new technologies and techniques, solving problems and encouraging engineering best practice. We have weekly research afternoons where each member of the team reads up about a new topic, technique or academic paper that interests them and discusses or presents it to the rest of the team afterwards to ensure we're always learning and staying on top of recent research and technologies.

We've got a pretty relaxed atmosphere here with team lunches / after work drinks a regular occurrence (our local pub does excellent Thai food, we go frequently). Our customary office hours are week days, 10 til 6. We don't much like peak rush hour. If that doesn't suit, let us know and we can talk, we're flexible. Our office is based in Marylebone, London.

Benefits

Our salary range for the role is £70,000 to £85,000, depending on experience and interview performance. We offer 10% matched pension contributions as standard for all staff.

We do not currently offer other benefits such as private health or dental insurance, but we are open to negotiating if this is something you need.

Choose your own hardware & setup for your development environment. Adjustable standing desks provided.

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