At a Glance
- Tasks: Design and implement innovative machine learning models for sports betting analytics.
- Company: Longshot Systems, a forward-thinking tech company in London.
- Benefits: Hybrid work model, private healthcare, and bonus scheme.
- Other info: Flexible hours and exciting opportunities for career growth.
- Why this job: Join a dynamic team and shape the future of predictive analytics in sports.
- Qualifications: PhD or research Masters in a relevant field and Python experience.
The predicted salary is between 30000 - 40000 £ per year.
Longshot Systems is looking for Graduate Machine Learning Researchers for its quantitative modelling team in London. This role involves designing, testing, and implementing cutting-edge machine learning models to enhance predictive analytics in sports betting.
The ideal candidates should possess a PhD or research Masters in a relevant field and have experience with Python.
The company offers a hybrid working model and a variety of benefits, including private healthcare and participation in a bonus scheme.
Graduate ML Researcher - Hybrid, Flexible Hours & Perks in London employer: Longshot Systems
Longshot Systems is an exceptional employer that fosters innovation and collaboration within its dynamic quantitative modelling team in London. With a hybrid working model, flexible hours, and a comprehensive benefits package including private healthcare and a bonus scheme, employees are empowered to thrive both personally and professionally. The company prioritises employee growth through continuous learning opportunities, making it an ideal place for those seeking a meaningful and rewarding career in machine learning research.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate ML Researcher - Hybrid, Flexible Hours & Perks in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with alumni from your university. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those using Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and algorithms. Practice explaining your past projects and how they relate to predictive analytics in sports betting. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to show your enthusiasm for joining our team at Longshot Systems.
We think you need these skills to ace Graduate ML Researcher - Hybrid, Flexible Hours & Perks in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant experience in machine learning and Python. We want to see how your skills align with the role, so don’t be shy about showcasing your projects or research that relate to predictive analytics.
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 at Longshot Systems. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Research:If you've done any research or projects during your studies, make sure to mention them! We’re particularly interested in your experience with quantitative modelling and any innovative approaches you've taken. This is your moment to impress us!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, you’ll get to see all the perks we offer, like flexible hours and private healthcare!
How to prepare for a job interview at Longshot Systems
✨Know Your ML Models
Make sure you brush up on the latest machine learning models and techniques. Be ready to discuss how you've applied these in your previous research or projects, especially in predictive analytics. This will show your passion and expertise in the field.
✨Showcase Your Python Skills
Since Python is a key requirement for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data manipulation tasks beforehand. Having a few examples of your work ready can also help.
✨Understand the Sports Betting Industry
Familiarise yourself with how machine learning is used in sports betting. Research current trends and challenges in the industry, and think about how your skills can contribute to enhancing predictive analytics. This knowledge will set you apart from other candidates.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the team, the projects you'll be working on, and the company culture. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
