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

Apply Now

Quantitative Developer

Vertex Search
London
8 months ago
Applications closed

Related Jobs

View all jobs

C++ Quantitative Developer - Machine Learning

Senior Data Scientist/AI Engineer (Remote)

Senior Principal Data Scientist - Remote

Senior Data Scientist/Ai Engineer (Remote)

Principal Data Scientist

Senior Data Scientist - Gen AI - 12 month FTC

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

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.

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.