National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Full Stack Developer

London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Full Stack Developer

Full Stack / Data Engineer

Full Stack / Data Engineer

Senior Full Stack Data Engineer

Trainee Coding and Programmer - No Experience Required

Trainee Coding and Programmer - No Experience Required

FULL STACK DEVELOPER

LONDON

HYBRID

£50,000 - £60,000

Our Client, a Top 20 Accountancy firm who have an excellent reputation in their space, are looking for a React/Full Stack Developer to join their team on a permanent, full time basis. This person MUST be experienced in Python, Django and .react

They are seeking an experienced Full Stack Developer to join their Transformation team to contribute to the development of innovative products that aim to revolutionise the way auditors and accountants work. This role involves accelerating the creation of the companies core product suite, helping to automate repetitive tasks and enable accountants to focus on data-driven insights and analytics.

This position provides a fantastic opportunity to work in a small, focused and confident team, with mentorship from experienced developers and data scientists that will enable you to develop your skills and offers a chance for career progression as the role evolves.

Full Stack Developer - Responsibilities

Collaborate with a small team of developers, contributing to daily code reviews and merge requests.
Develop across the entire product stack, including:
Frontend interface
Backend API layer
Analytics/data processing engine
Lead projects independently, from requirements gathering through to deployment.
Mentor junior developers to support their technical growth.
Solve complex challenges related to data and presentation in accountancy.

Full Stack Developer - Experience Required

A minimum of 3 years of experience as a full-stack developer, delivering robust production-ready solutions.
Proficiency in the following technologies:- Backend: Python, Django

  • Frontend: JavaScript, React, Next.js

  • Version control: Git

    Comfortable working with Python and JavaScript professionally, with experience in Django and React.
    Ability to build data-intensive applications and manage complex backend logic, including external API integrations.
    Experience in creating responsive user interfaces that function across browsers and mobile devices.
    Capable of working independently and taking ownership of technical projects.
    Strong analytical skills and problem-solving abilities.
    Effective time management and prioritisation skills under tight deadlines.

    Bonus Skills & Expertise

    Experience deploying and managing applications using Azure and Docker.
    Familiarity with frameworks such as LangChain and expertise in Retrieval-Augmented Generation (RAG) models for AI-driven applications.
    Proficiency with pandas for data manipulation.

    Full Stack Developer - What's in it for you?

    Salary Reviews: Twice a year to recognise your contributions.
    Generous Annual Leave: Enjoy 25 days plus three days off at Christmas.
    Flexible Working
    Comprehensive Wellbeing Support: Access to Digicare+, Employee Assistance Programme, and more!
    Private Medical Insurance
    Professional Subscriptions: Invest in your growth and development.

    Seniority Level

    Associate

    Industry

    Accounting

    Employment Type

    Full-time

    Job Functions

    Information Technology

    Skills

    React.js
    Django
    Stack
    Code Review
    Data Manipulation
    Full-Stack DevelopmentMay & Stephens Ltd is acting as an Employment Agency in relation to this vacancy
National AI Awards 2025

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 to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.