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

Apply Now

C++ Developer- Sophisticated Prop Trading Firm

Oxford Knight
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Principal Data Engineer/Architect

Data Analyst

Data Engineer - Financial Services

Lead R Engineer / Data Scientist - Integrated Pest Management (IPM)

Business Data Analyst - Pricing - Wealth Management

C++ DeveloperSalary:up to £200k + bonus

Summary

High-frequency prop trading firm with offices worldwide are looking to expand their in-house trading team with a talented software developer well-versed in modern C++.

Enjoying high levels of autonomy, the successful candidate will design, develop and implement a low-latency, high-frequency trading platform. You will also contribute to the development and optimization of large-scale parallelputation problems involving large amounts of shared data, and improve performance by optimizing the efficiency of machine learning-based algorithms.

The ideal candidate will befortable managing multiple tasks in a fast-paced environment and possess exceptionalmunication skills in English, both verbal and written.

Requirements

5+ years of practical experience in C++ and 3 years with Python Professional experience of C++ 14/17/20 Strong proficiency with data structures, algorithms, and OOP Sound experience using other programming languages, such as Java Solid working knowledge of Linux and SQL Self-starter, with a passion for innovation and building systems from scratch


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

Benefits
They're willing to be flexible with WFH Benefits including medical insurance and gym membership Collaborative and friendly environment with smart, highly engaged colleagues Relaxed, dress-down office culture, with breakfast, lunch and snacks provided

Contact
If this sounds like you or you would like to know more, please get in touch:

Andy Stirling-Martin


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

Job ID dzUaTmz2Z3ER

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.