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

Apply Now

Full Stack Developer

London
5 months ago
Applications closed

Related Jobs

View all jobs

Full Stack Data Engineer

Fabric Data Engineer

Fabric Data Engineer

Fabric Data Engineer

Scientific Data Scientist

Data Scientist

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

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

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 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.