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

Apply Now

FPGA Developer- Global Quant Firm

Oxford Knight
London
1 year ago
Applications closed

FPGA DeveloperSummary

Unique in their field, this HFT fund has the lively, positive spirit of a start-up with the stability of a longer-established player. They hire exceptional talent in Maths, Physics andputer Science, from across the trading, tech and start-up industries, to apply cutting-edge research to global financial markets.

One of their fast-growing quant trading teams is looking to hire a dynamic FPGA Developer with HDL development experience.

You will collaborate extensively with traders and technologists to evolve, improve and maintain all elements of the team infrastructure. This role offers the opportunity to gain exposure to a wide range of interesting and challenging problems involving high performanceputing, software design and big data, where most problems require high-availability, high-throughput and low-latency solutions.

The trading team sees technology as a keyponent of their continued success and candidates will be exposed to cool, cutting-edge technologies. The i deal candidate will have leadership experience and be able to step into a Team Lead role post-12 months as an individual contributor

This firm also has roles within its core tech group if you're not keen working on trading desks.

Requirements

At least 5+ years' hands-on development experience in HDL (SystemVerilog/VHDL) with C++ knowledge Solid experience in solving numerical problems with existingmercial architectures (CPU/GPU/FPGA/etc.) Sound knowledge of bridging solution from both hardware & software Experience in Linux system programming &puter architecture Desirable: exposure to Python or a willingness to gain proficiency quickly


NB: Please do not apply if you are a fresh graduate.

Benefits
They're willing to be flexible with WFH Enormous opportunity to grow, learn and have an impact Contributions are rewarded; career progression supported Unique culture where you can fulfil your potential through collaboration and mutual respect

Contact
If this sounds like you, or you'd like to know more, please get in touch.

Andy Stirling-Martin


linkedin/in/andrew-stirling-martin-7664a946

Job ID spttg1EYo7lh

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.