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

Apply Now

Senior Software Engineer (Frontend)

Manchester
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer, Machine Learning Services (MLS)

Senior Software Engineer, Data & Machine Learning

Senior Software Engineer, AI/Machine Learning - EA SPORTS FC

Senior Software Engineer, Machine Learning

Machine Learning Evaluation Engineer

Computer Vision Tech Lead

Senior Software Engineer - Frontend (IoT Data)

Up to £60K (DOE)

Hybrid (Mon & Tues in office

The company:

This is an incredible opportunity to join a forward-thinking company at the forefront of smart IoT technology, where you'll play a crucial role in shaping the future of efficiency and sustainability. The company's innovative IoT monitoring solutions are transforming industries by helping businesses cut costs, optimize energy usage, and stay ahead of environmental regulations.

You'll be working on real-time data tools that empower organizations to make smarter, data-driven decisions, improving everything from operational efficiency to environmental impact. With products like environmental monitors, temperature sensors, and energy usage trackers, the company is helping industries such as manufacturing, healthcare, and renewable energy take giant leaps towards a sustainable future. This is your chance to work on groundbreaking technology that integrates seamlessly with intuitive online dashboards, delivering real-time alerts, detailed data logs, and custom reports. If you're ready to make a meaningful impact in an industry that's shaping the future of both business and the planet, this role is the perfect next step in your career.

The Role:
You'll play a key role in developing and maintaining high-quality, user-centric React applications for IoT data visualisation. You'll focus on performance, accessibility, and responsiveness while creating reusable components and front-end libraries. Your work will involve implementing interactive dashboards using Chart.js, conducting user research, and optimising UI/UX design. You'll also collaborate with designers and back-end engineers, integrating with RESTful APIs and staying up to date with the latest front-end technologies. Additionally, you'll mentor junior engineers and contribute to best practices within the team.

Key Responsibilities:

Develop and maintain high-quality React applications with a focus on performance and accessibility
Build and maintain reusable components and front-end libraries
Prioritise user experience through clear and contextualised data visualisations
Conduct user research and usability testing to inform design decisions
Implement complex data visualisations and interactive dashboards using Chart.js
Work with RESTful APIs and collaborate with back-end engineers on integration
Ensure code quality through unit/integration tests and code reviews
Participate in Agile development processes (sprint planning, stand-ups, retrospectives)Skills and Experience:

Required:

3+ years of professional software development experience
Strong proficiency in TypeScript, JavaScript
Extensive experience with React, JavaScript, HTML, CSS
Strong understanding of UI/UX principles and best practices
Experience with data visualisation libraries like Chart.js
Familiarity with RESTful APIs and asynchronous programming
Experience in Agile environments and version control (Git)
Excellent communication and collaboration skills
Experience mentoring junior software engineersPreferred:

Experience with NestJS, Chart.js
Knowledge of Agile development methodologies
Experience with AWS, Docker, Fargate
Exposure to mobile development (React Native)
Understanding of IoT technologies (LoRaWAN)
Familiarity with machine learning applications in data analysis

This is an opportunity to make a real impact in a fast-growing industry that's shaping the future of IoT technology. You'll work on meaningful projects that drive sustainability and efficiency, all while collaborating with a passionate team and growing your technical expertise.

If this sounds like the right fit for you, apply now or get in touch to discuss the role in more detail

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.