React Engineer - London (Hybrid) - Up to £150k + comps

Hunter Bond
London
1 year ago
Applications closed

Related Jobs

View all jobs

DataOps Engineer – Data Science Operations

Machine Learning Engineer

Data Scientist

Principal Machine Learning Scientist - Applied Research (UK Remote)

Machine Learning Engineer, Gen AI

Machine Learning Engineering Manager, Gen AI

Calling All React Heroes: Join the Fintech Revolution in London!


Are you a React pro ready to take your career to the next level? A leading quant trading firm in London is on the lookout for a skilled React developer to join their team of top-tier tech talent. If building cutting-edge web applications that set the standard in fintech excites you, keep reading!


Your Mission:

- Develop innovative React applications that elevate the trading experience.

- Collaborate with a team of top engineers, data scientists, and quant experts.

- Take ownership of impactful projects that will elevate your portfolio.

- Push the boundaries of React within the fast-paced world of finance.


‍♂️ About You:

- You have a degree in Computer Science or a related field, or equivalent practical experience.

- You bring 2+ years of professional React experience, staying ahead of the latest trends.

- You thrive in dynamic, startup-like environments where innovation is key.

- Writing clean, efficient code is second nature to you, and you’re passionate about best practices in web development.

- You’re excited by the challenges of working with large datasets and complex algorithms.


️ Your Skill Set:

- Strong expertise in React.js.

- Experience with Python for full-stack development is a plus.

- Knowledge of SQL and NoSQL databases.

- Bonus points if you have experience with Rust, distributed systems, or machine learning.


What’s in It for You:

- Engage in challenging projects that influence global markets.

- Work with cutting-edge technology in a collaborative environment that feels more like a startup than a traditional finance firm.

- Competitive compensation and benefits to match your skills.

- Opportunities for travel between global offices (if that interests you).


If you’re ready to make a significant impact in the fintech world and want to work in an environment that values innovation and creativity, let’s connect! This is the opportunity you’ve been waiting for to take your React expertise to the next level.


Apply now or reach out to me directly for more details. Your future self will be glad you did!

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.