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

Apply Now

Full Stack Developer - London

TalentBrew
London
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer – AI Team (Global Digital)

Scientific Data Scientist

Senior Machine Learning Engineer, Data for Embodied AI

Senior Machine Learning Engineer, Data for Embodied AI

Computer Vision Engineer

Machine Learning Engineer

Full-Stack Engineer (React, Electron, Middleware)
Location: London
Employment Type: Full-Time
Experience Level: Mid to Senior Level

Are you aFull-Stack Engineerlooking for your next challenge? We're searching for a talented individual with a strong background infrontend developmentusingReactandElectron, andbackend/middlewareexpertise to help build anAI-driven data ingestion platformdesigned to serve insurance businesses.

Key Responsibilities

Frontend Development:

  • Design, develop, and maintain a desktop application usingReactandElectron
  • Ensure aresponsive,user-friendlyexperience across operating systems
  • Implementpixel-perfect designsfrom tools like Figma
  • Optimize frontend code forscalabilityandmaintainability

Middleware & Backend Development:

  • Develop middleware to integrate the frontend with backendAPIs
  • Write clean, scalable code inPythonorNode.js
  • Build and maintainRESTful APIsandmicroservices
  • Ensure secure and robust communication between the frontend and backend

Integration & DevOps:

  • ImplementCI/CDpipelines for seamless deployment
  • Automate testing and monitoring processes for high-quality delivery
  • Troubleshoot issues across the entire stack: frontend, backend, and infrastructure

Collaboration & Documentation:

  • Work in anAgileenvironment, participating in sprints and stand-ups
  • Document code, processes, and design decisions for future reference

Requirements

Required Skills & Qualifications

Frontend:

  • Strong proficiency inReactandElectron
  • Experience withstate management(Redux, MobX)
  • Skilled inHTML5,CSS3,JavaScript (ES6+)
  • Familiar withresponsive designandcross-platform compatibility

Backend/Middleware:

  • Experience inPythonorNode.js
  • Proficient in building and consumingRESTful APIs
  • Familiar withmicroservices architectureand database management (SQL/NoSQL)

DevOps & CI/CD:

  • Experience withCI/CDtools
  • Familiarity withDocker,Kubernetes, andLinux-based environments

General:

  • Strong problem-solving and troubleshooting skills
  • Excellent communication and collaboration abilities
  • Experience instartup environmentsor fast-paced settings

Preferred Qualifications

  • Experience withElectrondesktop applications
  • Knowledge ofcloud platforms
  • Familiarity withmachine learningintegration
  • Experience withversion control(Git) andcode reviewpractices
  • Bonus: Experience withrobotic process automation (RPA)

If you’re a Full-Stack Engineer ready to make an impact and work on agreenfield projectthat combines AI and data to disrupt the insurance sector, we’d love to hear from you!

Apply nowand be part of our exciting journey.

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.

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

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.