At a Glance
- Tasks: Design and implement innovative machine learning models to enhance sports betting analytics.
- Company: Join Longshot Systems, a cutting-edge company in sports betting technology.
- Benefits: Enjoy uncapped bonuses, private healthcare, gym membership, and a matched pension scheme.
- Other info: Be part of a small, focused team with excellent career growth opportunities.
- Why this job: Make a real impact in a dynamic field with high autonomy and creative freedom.
- Qualifications: Masters or PhD in a quantitative field; strong Python and machine learning skills 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 in 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 employer: Longshot Systems
Longshot Systems is an exceptional employer for those passionate about machine learning and sports analytics, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from opportunities for professional growth through hands-on experience with cutting-edge technologies like Docker, Kubernetes, and cloud platforms, all while contributing to impactful projects in the fast-paced world of sports betting. Located in a vibrant tech hub, the company provides a stimulating environment where creativity and technical expertise thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Researcher
✨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 frameworks. Be ready to showcase your coding prowess during the technical interview. Practice makes perfect, so dive into some projects or Kaggle competitions to sharpen those skills!
✨Tip Number 3
Prepare for the full assessment day by simulating the experience. Work on modelling exercises and get comfortable with presenting your ideas. This will help you feel more confident and ready to impress the team.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Senior Machine Learning Researcher
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in machine learning and Python programming. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects or competitions you've participated in!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how you can contribute to our team. We love creativity, so feel free to share innovative ideas or methodologies you’ve worked on.
Showcase Your Problem-Solving Skills:In your application, highlight specific examples where you've tackled complex problems using machine learning. We’re looking for candidates who can think outside the box, so don’t hold back on sharing your thought process!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Longshot Systems!
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, ensure you’re comfortable with coding exercises. Practice common algorithms and data manipulation techniques. Being able to demonstrate your coding skills confidently will set you apart.
✨Prepare for Problem-Solving Questions
Expect to tackle modelling questions that assess your analytical thinking. Think through your approach to problem-solving and be ready to explain your reasoning clearly. This is your chance to showcase your creativity and technical prowess.
✨Show Enthusiasm for R&D
Longshot Systems values innovation, so express your passion for research and development. Share examples of how you’ve generated new ideas or improved methodologies in previous roles. This will highlight your fit for their collaborative and autonomous environment.
