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

Apply Now

C/C++ Developer- Global Quant Firm

Oxford Knight
London
1 year ago
Applications closed

Related Jobs

View all jobs

DATA SCIENTIST

Data Analyst

C++ AI & Computer Vision Engineer (Real-Time)

Data Science Manager

Staff Machine Learning Engineer - Autonomy

2026 Graduate Machine Learning Engineer - Applied AI

Salary:£200k base

Summary

Lively, positive spirit of a start-up, with the stability of a longer-established player, this leading quant firm is looking for a skilled C/C++ Developer. You will join a growing quant trading team to evolve, improve and maintain all elements of the team's infrastructure, including execution, signal generation, model building and back testing.

Developers here are highly valued and well-rewarded for hard work, and as a result, are some of the brightest minds from across the trading, tech, academic and start-up industries. Collaborating extensively with traders and technologists, you can expect exposure to a wide range of exciting and challenging projects. These will include high performance computing, software design and big data, developing high-availability, high-throughput and low-latency solutions.

Technology is viewed by the traders as a crucial component of their continued success. The successful C/C++ Developer will have exceptional communication, analytical and problem-solving skills, comfortable taking ownership of projects and responsibilities.

Requirements

  • Solid C/C++ development experience, including low- and high-level optimization
  • Strong instincts around performance vs simplicity tradeoffs, engineering for maintainability, extensibility and debuggability
  • Good Linux platform skills and experience
  • Bachelor's degree (or higher) in Computer Science or Computer Engineering (or equivalent)


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

Benefits

  • Competitive base salary & bonus
  • They're willing to be flexible with WFH
  • Have a direct impact and be exposed to cool, cutting-edge technologies
  • Contributions are rewarded; career progression supported
  • Free breakfast, lunch and dinner



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.

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.