National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Machine Learning Researcher at leading Market Maker / Hedge Fund

Oxford Knight
London
1 month from now
Create job alert

Salary:£200k base + £150 – £400k bonus // All experience levels

Client:


One of the world’s top market makers is expanding their Machine Learning and related AI teams. Already a market-leader, in the past few years they have invested extensively in their data offerings and are ready to expand their ML and AI teams to stay ahead of the curve.


A cross-asset liquidity provider, they do a huge volume of trades daily and are working with massive data sets that require enormous computational power.


Role:


You’ll be extracting signals from vast datasets of market data to gain beneficial insights. Your time could be split between alpha generation in a trading team and time in the core engineering team – working very collaboratively as a firm to maximise PnL for the collective. For example, if you’re sat on an FX desk and find something useful, you’ll share the knowledge with the Equities team. You’ll be using ML to find ways to cut through the noise – how can you improve day-to-day performance with ML techniques? Is there AI assistance you can utilise to make everyone’s life easier – from traders to operations, and ML tools for engineers?


Requirements:

Extensive ML experience


Strong programming skills in any OO language
Collaborative nature with excellent communication skills
Ability to balance pragmatism and great tech

Benefits:

Shape the firm and, to an extent, the industry’s ML developments


Attend conferences
Excellent compensation package
Good work-life balance

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Related Jobs

View all jobs

Enterprise Data - Sales Specialist - Research & Data Science, Financial Solutions

Research Associate or Research Fellow In Machine Learning (2 Posts Available)

Head of Data Science (Basé à London)

Principal Machine Learning Engineer

Principal Machine Learning Engineer (Basé à London)

Principal Machine Learning Engineer London, England, United Kingdom (Basé à London)

National AI Awards 2025

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.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.