Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Quant Developer / Research Engineer- Award-Winning Global Market Maker

Oxford Knight
London
1 year ago
Applications closed

Related Jobs

View all jobs

Quantitative Data Engineer

Quantitative Data Engineer

Data Engineer

Data Engineer

Market Data Engineer

Data Analyst

Quant Developer / Research EngineerSummary

Quant Developers/Research Engineers wanted for leading market maker to join their fast-paced, dynamic engineering team. This role offers the opportunity to leverage sophisticated statistical techniques and technologies in the creation of custom software solutions.

In this role, you will work collaboratively with the Quant Research team to define priorities and go on to design, develop, test and deploy next-generation elegant software solutions for automated trading systems.

The successful candidate will be an outstandingmunicator, who can hit the ground running and is confident in a constantly-changing trading environment.

Skills and Experience Required

A deep passion for technology, software development and maths Proficiency with one or more programming languages, including C++, Python, and R Experience with some of the following areas: Distributedputing, Natural Language Processing, Machine Learning, Platform Development, Networking, System Design Exceptional quantitative and analytical skills Minimum bachelor's degree inputer Science, Maths, Statistics, etc. from a top-tier university


Benefits
Hugely collaborative environment between teams, not siloed like other firms Work with the latest technologies onplex problems Flexible working encouraged and regular socials

Contact
If you think you're a suitable candidate for the role and would like further info, please contact:

Josh Williamson

+44 (0)20 3475 5021
linkedin/in/josh-williamson-3745b7151

Job ID 5jeqm8asdL8k

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 Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.