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

Apply Now

Full Stack Software Engineer - Up to £200k 1st year TC (All cash)

Hunter Bond
London
10 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Manager, London

Software Engineer, Artificial Intelligence

Software Engineer, Artificial Intelligence

Software Engineer, Artificial Intelligence

Machine Learning Engineer - Customer Solutions

Machine Learning Research Engineer

Role:Full Stack Software Engineer

Salary:Up to £200k 1st Year Compensation (Pure Cash)

Location:London (Flex-Remote Options)

Skills:Python and/ or React expertise preferred


This firm is an elite company with high tech standards who have previously set tech world records. They are made up of some exceptionally talented individuals who above all are passionate about using the latest and greatest tech and pushing it to the limits.


They’ll find the best team to suit your skillset/interests but you could be working on:


• Some of the world’s most performant ETL pipelines that deal with billions of data points every second

• One of the most successful observability platforms worldwide

• Building software solutions/products with scale, reliability and latency considerations in mind

• R&D work for functional programming (either pre-existing languages (such as Rust and Erlang), or purpose-built languages similar to OCaml

• Building out Machine Learning Infrastructure and tweaking research models

• Working directly on Quant Logic/Research models for Alpha Generation


What else is in it for you?


• Software Engineers are treated as the company's #1 asset

• Low attrition rate; people working there love what they do on a daily basis!

• Very friendly, tight-knit environment

• Flat structure, with a clear progression route


Does this sound good? Apply using the link or email your CV across to and I'll give you a call!

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.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.