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

Nominate & Attend

Full Stack Engineer | up to £75k | Fully Remote

Pearson Carter
London
7 months ago
Applications closed

Related Jobs

View all jobs

Trainee Coding and Programmer - No Experience Required

Trainee Coding and Programmer - No Experience Required

Full Stack Data Engineer

Data Engineer Coach

Senior Data Analyst

Senior MLOps/GenAI Infrastructure Engineer

Full Stack Engineer | up to £75k | Fully Remote

 

Pearson Carter are currently working with a data science and software company at the forefront of applying machine learning within Healthcare! They empower national healthcare providers to predict adverse health events in individual patients with astonishing accuracy! They are looking to hire a Full Stack Developer who has strong skills with NestJS, React and TypeScript.

 

Get in touch if you’re looking for your next opportunity!

 

Responsibilities:

  • Developing new and existing NestJS applications, both CLI and API
  • Developing new and existing ReactJS front-end applications and dashboards
  • Integrating our systems with third-party systems, including API’s and other systems hosted by the NHS
  • Leverage and Deploy our solution on Azure Cloud infrastructure

 

Experience:

  • Extensive experience working with TypeScript, React and NestJS
  • Strong experience deploying to Azure
  • Proficient in version control and the review process (Git &; Jira)
  • Good Tailwind CSS/UI experience
  • Any experience with AI/ML, DevOps would be beneficial

Salary

  • They offer an outstanding salary package: up to £80,000 with fully remote working
  • But able to travel to London for meetups 4-8 times a year.
  • Personal development
  • Career progression

 

Location

This role is fully remote so you will be working from home but need to be based in the UK and able to travel to London 4-8 times per year.

 

How to Apply

Please apply asap with your CV to be considered for this position. You can also get in touch with me on or .

 

Pearson Carter is the Global Leader in Microsoft Technology, Web, Mobile and Software Development Recruitment with specialist roles across the globe - www.pearsoncarter.com

 

Keywords:Microsoft,JavaScript, Typescript, Node, React, Nest, NestJS, Nest.js, Azure, Developer, Software engineer, Web,Software Engineer, Full Stack Software Engineer, South Yorkshire, Lincolnshire, Leicestershire, Derbyshire, Greater London, Greater Manchester, Tyne and Wear, Midlands, UK Wide, Remote, Fully Remote.

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.

Jobs

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.

Careers Jobs

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.

Jobs

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

🍪 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.