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- Tasks: Research and enhance machine learning models for horse racing predictions.
- Company: Join a dynamic London-based sports trading company focused on betting analytics.
- Benefits: Competitive salary up to £180,000 and collaborative work environment with leadership.
- Why this job: Combine your passion for horse racing with cutting-edge machine learning technology.
- Qualifications: Significant experience in machine learning research and proficiency in Python required.
- Other info: No CV needed to apply; just bring your skills and enthusiasm!
The predicted salary is between 108000 - 252000 £ per year.
Do you enjoy watching the horse racing? Do you sometimes put a bet on, hoping you make some money on that lucky horse? Well, have you ever wanted to improve your odds of winning? If your answer is yes, then this role might be just what you’re looking for! You will be improving the predictive power of machine learning models by researching data based on Horse Racing. You’ll be in a team of around 20 and will be working closely with the CEO and CTO designing, testing and implementing new machine learning models in Python. You’re going to need to be coming in with significant experience in machine learning research and have a good understanding of how Python works. This is a London-based sports trading company that is looking for you to put your interest in the predictive power of betting into a career. With already effective models in place, your role would be to see if you can improve those models. Are you up to the challenge? This position pays up to £180,000 based your level of experience. Then please get in touch. No up-to-date CV required.
Machine Learning Researcher - up to £180,000 salary employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Researcher - up to £180,000 salary
✨Tip Number 1
Make sure to showcase your passion for horse racing and betting during the interview. Share any personal experiences or insights you have that relate to predictive modeling in this context, as it will demonstrate your genuine interest in the field.
✨Tip Number 2
Prepare to discuss specific machine learning projects you've worked on, especially those involving predictive analytics. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will highlight your problem-solving skills.
✨Tip Number 3
Familiarize yourself with the latest trends and advancements in machine learning, particularly in the context of sports betting. Being able to discuss recent developments or techniques can set you apart from other candidates.
✨Tip Number 4
Network with professionals in the sports trading and machine learning fields. Attend relevant meetups or online forums where you can connect with others who share your interests, as this could lead to valuable insights and potential referrals.
We think you need these skills to ace Machine Learning Researcher - up to £180,000 salary
Some tips for your application 🫡
Tailor Your CV: Even though an up-to-date CV is not required, it's a good idea to prepare one that highlights your relevant experience in machine learning research and Python programming. Focus on projects or roles that demonstrate your ability to improve predictive models.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for horse racing and betting, as well as your expertise in machine learning. Explain how your skills can contribute to improving the company's existing models and why you're excited about this opportunity.
Showcase Relevant Projects: If you have worked on any projects related to machine learning or predictive modeling, be sure to mention them. Include specific examples of how you improved models or solved complex problems, especially if they relate to sports or betting.
Express Your Interest: In your application, make it clear why you are interested in this particular role and company. Mention your enthusiasm for horse racing and how it aligns with your career goals in machine learning research.
How to prepare for a job interview at Saragossa
✨Show Your Passion for Horse Racing
Since the role is closely tied to horse racing, make sure to express your enthusiasm for the sport. Share any personal experiences or insights you have about betting and how it relates to predictive modeling.
✨Demonstrate Your Machine Learning Expertise
Be prepared to discuss your previous work in machine learning research. Highlight specific projects where you've designed, tested, or implemented models, especially in Python, and be ready to explain your thought process and methodologies.
✨Prepare for Technical Questions
Expect technical questions related to machine learning algorithms and Python programming. Brush up on key concepts and be ready to solve problems on the spot or discuss how you would approach certain challenges.
✨Ask Insightful Questions
Show your interest in the company and the role by asking thoughtful questions. Inquire about the current models they have in place, the team dynamics, and what success looks like in this position. This demonstrates your engagement and forward-thinking mindset.
