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

Apply Now

Software Engineer (Any OO)- Market-Leading Global Hedge Fund

Oxford Knight
London
9 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer III - MLOps

Software Engineer - (Machine Learning Engineer) - Hybrid

Lead Software Engineer - Agentic AI/Machine Learning

Lead Software Engineer - Agentic AI/Machine Learning

Senior Software Engineer, Data Science Infra

Lead Software Engineer - MLOps

Summary

Enthusiastic Software Engineer wanted for one of the world's leading hedge funds where you'll use your solid engineering expertise to create innovative, next-generation software solutions which drive the whole investment process.

Within a fast-paced, dynamic environment, this position would suit someone who is continually striving to improve solution efficiency and effectiveness, and who is keen to expand their knowledge and expertise on this next step in their career.

This role will give you the opportunity to design, develop and deploy critical solutions while working closely with business leaders, including high availability, high throughput systems scaling to millions of transactions per second.

You will also receive structured learning on technical and quantitative skills with the support of the firm's CTO. If you have a passion for software development and a passion for learning new technologies, this is perfect for you!

Requirements

  1. Bachelor's, Master's or PhD degree in Computer Science from top-tier institution
  2. 3-5 years' expertise with one or more OO language (e.g. Java, C++, Python)
  3. Deep knowledge of distributed service oriented architecture, relational databases, machine learning/deep learning
  4. Sound experience building high performance, highly available and scalable systems
  5. Proficiency in building complex software systems successfully taken up by users

Rewards & Incentives

  1. Hugely collaborative environment; fantastic opportunity to learn new tech
  2. Competitive compensation: truly flat structure; feel valued for your input and be rewarded for great ideas
  3. Work with the latest technologies on complex problems

Contact

If you feel you are suitable for this role, or would like more information, drop me an email:

Jack Peck
[e]
[t]
linkedin.com/in/jack-peck-448a70131

#J-18808-Ljbffr

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.