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

Apply Now

Quant Developer

Vertex Search
London
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Machine Learning Quant Engineer - Investment banking

Machine Learning Quant Researcher

Senior Quant/Risk Professional - Machine Learning, Surveillance

Senior Quant/Risk Professional - Machine Learning, Surveillance

Senior Quant/Risk Professional - Machine Learning, Surveillance

Quant Developer - Systematic Trading Startup


Our client is a startup quant trading company that applies rigorous mathematical, statistical, and machine learning techniques to investment management. Their founders have had hugely successful careers within quant finance and they are looking to hire talented quantitative developers and researchers to help them develop their technology and trading platforms in advance of launching live trading operations.


The role includes a wide range of potential responsibilities depending on the candidate’s experience and the needs of the business. You may be required to:

  • Develop the technology for their core data platform, including tools and systems for storing, processing, and analysing data, as well as integration with external data sources
  • Research and implement trading strategies
  • Implement methods for portfolio construction, risk management, and reporting
  • Design and implement tools for live execution and operational support


Successful candidates will require a subset of the following:

  • Python
  • C++
  • Machine Learning/AI (Tensorflow, Pytorch)
  • Cloud computing (AWS, GCP preferred)
  • In-depth understanding of algorithms and data structures, and ability to apply them to practical problems
  • Code optimisation and memory management; working with large datasets
  • Computer architecture; how hardware constraints influence system design and implementation
  • Exceptional problem solving ability and the ability to effectively communicate complex ideas
  • A STEM degree from a top tier academic institution is strongly preferred


In return the client offers flexible working hours, a friendly, relaxed and collaborative atmosphere, and a highly competitive salary together with a bonus scheme to generously reward early stage employees once the company is successful.


Vertex Search is working as a recruitment agency on this engagement.

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.