Senior Machine Learning Researcher - Sports Betting/Trading

Harnham
London, England
10 months ago
Applications closed

Related Jobs

View all jobs

AI and Machine Learning Researcher - KTP Associate

Aston University Birmingham, Midlands Of England, United Kingdom
£40 pa On-site

Senior Data Scientist – Rosalind (DNA Sequence Modelling & Computational Genomics)

Relation Therapeutics London, United Kingdom
£70,000 – £100,000 pa On-site

Senior Software Engineer, Chem-Bio

AI Security Institute London, United Kingdom
£50,000 – £80,000 pa On-site Clearance Required

Software Engineer, Machine Learning

Synthesia London, United Kingdom
Remote

Senior Software Engineer, ML Ops

Isomorphic Labs London, United Kingdom
£70,000 – £120,000 pa On-site
Posted
23 Jun 2025 (10 months ago)

MACHINE LEARNING RESEARCHER - Sports Betting/Trading

HYBRID - Once per week in London

£100,000 - £180,000 + generous benefits


COMPANY:

We are working with a successful company focused on building advanced platforms for sports betting analytics and trading.


They are looking for an ML/Quant researcher to join the team and drive innovation within the team. The quality of work you will be doing in this role is pivotal to the company and will have a high impact on their overall success.


ROLE:

  • Improve the predictive power of existing models based on fundamental data.
  • Work closely with the CEO, CTO, and Team Lead to design, test, and implement new ML models.
  • Continually seek to improve existing state-of-the-art solutions.
  • You will be involved in all aspects of the R&D process, from high-level design through to production implementation.
  • High level of autonomy to research whichever methods you felt would be best suited to the problem at hand


REQUIREMENTS:

  • A strong mathematical understanding of the fundamentals of Machine Learning and core Statistics
  • Experience in doing research on cutting-edge models either in industry or academia.
  • Passionate about learning new skills and techniques. Comfortable finding and reading academic papers to generate new research ideas.


PROCESS:

  • Online assessment
  • Technical interview
  • Assessment day

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.