At a Glance
- Tasks: Design and implement cutting-edge machine learning models to enhance sports betting analytics.
- Company: Join Longshot Systems, a dynamic company focused on innovative sports betting solutions.
- Benefits: Enjoy uncapped bonuses, private healthcare, gym membership, and a matched pension scheme.
- Other info: Collaborative environment with opportunities for autonomy and career growth.
- Why this job: Be part of a creative team making impactful advancements in predictive modelling.
- Qualifications: Masters or PhD in a quantitative field; Python programming and machine learning experience required.
The predicted salary is between 48000 - 72000 £ per year.
At Longshot Systems we're building advanced platforms for sports betting analytics and trading. We're hiring Machine Learning Researchers for our quantitative modelling team. The primary goal of this team is to improve the predictive power of our models based on historical event and market data. The quality of our models is incredibly important to us and improvements on our models directly impact company success.
You will design, test, and implement new machine learning models in Python, continually improving our existing state-of-the-art solutions. Longshot is a small, focused company and so the role suits someone who wants to be involved in all aspects of the R&D process, from high-level design through to production implementation.
The ideal candidate will be highly creative and enjoy generating new, innovative ways to tackle problems and suggesting improvements to existing methodologies; you'll have a high level of autonomy to research whichever methods you felt would be best suited to the problem at hand. A strong mathematical understanding of the fundamentals of Machine Learning and core statistics is very important for this role. Sports betting knowledge isn't required, though experience modelling sports - especially in-play football, basketball, or tennis - is helpful.
Responsibilities- Design, test, and implement new machine learning models in Python, continually improving existing state-of-the-art solutions.
- Be involved in all aspects of the R&D process, from high-level design through to production implementation.
- Proactively generate new ideas and improvements to methodologies, with a high degree of autonomy to choose methods.
- At least one of:
- Masters or PhD in a quantitative, technical subject (e.g. Machine Learning, Maths, Physics) from a top university
- Significant Kaggle experience (especially in tabular data) or similar competitive modelling projects or competitions
- Industry experience in Quantitative Research (especially for sports) or other industries with competitive modelling requirements
- Experience Python programming
- A range of Machine Learning software frameworks
- Tabular data modelling
- Intro call (30 mins) - your background + interests
- Technical interview (60 mins) - modelling questions + coding exercise
- Full assessment day (10:30-5pm) - a full day modelling exercise & meet the team
- Participation in the uncapped company bonus scheme
- 10% matched pension contributions
- Private healthcare insurance
- Long term illness insurance
- Gym membership
Senior Machine Learning Researcher in London employer: Longshot Systems
At Longshot Systems, we pride ourselves on fostering a dynamic and innovative work environment where creativity thrives. As a Senior Machine Learning Researcher, you will enjoy a high level of autonomy in your role, contributing to cutting-edge projects that directly influence our success in the sports betting analytics space. With competitive benefits such as an uncapped bonus scheme, matched pension contributions, and private healthcare, we are committed to supporting your professional growth and well-being in a collaborative and focused team atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Researcher in London
✨Tip Number 1
Get your networking game on! Reach out to folks in the industry, especially those at Longshot Systems. A friendly chat can go a long way in making you stand out when it comes to interviews.
✨Tip Number 2
Brush up on your Python skills and machine learning concepts. Be ready to showcase your knowledge during the technical interview. We recommend working on some personal projects or Kaggle competitions to keep your skills sharp!
✨Tip Number 3
Prepare for the full assessment day by practising modelling exercises. Think about how you can improve existing methodologies and be ready to share your innovative ideas. This is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Machine Learning Researcher in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python and machine learning models. We want to see how you've tackled problems in the past, so don’t hold back on showcasing your best projects!
Tailor Your Application:Take a moment to customise your application for the Senior Machine Learning Researcher role. Mention specific experiences that relate to our focus on predictive modelling and any relevant competitions you've participated in.
Be Creative:We love innovative thinkers! Share any unique approaches or methodologies you've used in your previous work. This is your chance to show us how you can contribute to our R&D process.
Apply Through Our Website:Don’t forget to submit your application through our website. It’s the easiest way for us to keep track of your application and ensures it gets to the right people quickly!
How to prepare for a job interview at Longshot Systems
✨Know Your Models Inside Out
Make sure you’re well-versed in the machine learning models you’ve worked with. Be ready to discuss their strengths and weaknesses, and how you’ve improved them in past projects. This shows your depth of knowledge and ability to innovate.
✨Brush Up on Python Skills
Since the role involves implementing models in Python, it’s crucial to be comfortable with coding. Practice common algorithms and data manipulation techniques. You might even want to do a few mock coding exercises to get into the groove.
✨Prepare for Technical Questions
Expect questions that dive deep into your understanding of machine learning fundamentals and statistics. Review key concepts and be prepared to explain them clearly. It’s not just about knowing the answers but being able to communicate your thought process.
✨Show Your Creative Side
Longshot Systems values innovation, so come prepared with examples of how you’ve approached problems creatively in the past. Think of unique methodologies you’ve used or new ideas you’d like to explore. This will demonstrate your fit for their R&D-focused environment.
