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

Nominate & Attend

Full Stack Developer

London
2 weeks ago
Create job alert

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

Related Jobs

View all jobs

Full Stack Developer

Full Stack Developer - Computer vision

Full Stack Developer - Python/Django/PHP/Computer Vision

Full Stack Developer - Computer vision

Full Stack Developer - Python/Django/PHP/Computer Vision

Full Stack Data Engineer

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 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.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.