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

Apply Now

Frontend Developer

Southampton
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer | SC Cleared

Data Engineer | SC Cleared

Machine Learning Engineer

Scientific Data Scientist

Data Engineer

Full Stack Data Engineer

A market leading organisation within data engineering is searching for a Cloud Engineer to join their small team and develop technologies within the sustainability/energy sector.

This role will see you taking responsibility of the software development team are to build a secured and scalable data platform that is capable of handling millions of incoming data points from thousands of ships and develop robust digital applications that are capable of delivering seamless experiences to thousands of users - you will be responsible for building the front end of our application using JavaScript and React.

Key Responsibilities:

Develop the web front-end that will communicate with microservice components.
Work with our UX designer to understand the design of our front-end components as presented in Figma.
Collaborate with back-end software engineers and cloud engineers to define the data contracts and understand the best architecture for our API endpoints. Key skills:

Extensive expertise in JavaScript or Typescript
Proven experience of using React and Next.js frameworks
Strong experience with HTML and CSS,
Good knowledge of Tailwind would be a plus.
Experience working in a DevOps environment and with CI/CD pipelines using Azure DevOps and experience with Azure in general.The salary for this role is up to circa £60k + benefits. They operate a hybrid working model from their offices on the outskirts of Southampton.

To apply, respond to this advert, or reach out to Tom on LinkedIn.

Spectrum IT Recruitment (South) Limited 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.