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

Hunter Bond
London
1 year ago
Applications closed

Related Jobs

View all jobs

Lead Software Engineer (Machine Learning)

Software Engineer, Applied Artificial Intelligence (AI)

Software Engineer, Applied Artificial Intelligence (AI)

Data Scientist (Full Stack)

Senior Data Scientist

Artificial Intelligence Consultant

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 Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

Jobs

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Education Jobs

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

🍪 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.