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

Apply Now

Software Engineer (Frontend)

Consortia
Bristol
1 year ago
Applications closed

Related Jobs

View all jobs

Software Engineer / Machine Learning Developer

Software Engineer - Graph Data Science

Software Engineer - (Machine Learning Engineer) - Hybrid

Software Engineer - Machine Learning

Software Engineer - (Machine Learning Experience a plus) - hybrid

Software Engineer, Machine Learning

I am recruiting on behalf of a worldwide artificial intelligence company that provides single platforms that unifies data prep, machine, and model operations to clients. They are a future-focussed team that uses the latest technologies to solve complex problems.

If you are interested in building a SAAS platform for AI solutions that will shape the future, let me know.

Responsibilities:

Design and implement complex, interactive reusable Frontend components using react and TypeScript Create compelling visualizations using React, D3.js Implement complete features including Java REST backend Implementations of User Stories Conduct code & functionality reviews of features

Skills you will need:

Professional experience with JavaScript-based technologies Experience with the latest React and CSS frameworks Experience with state management systems like Redux Understanding of modern backend APIs Knowledge of TypeScript

Nice to have:

Experience with Continuous Integration tools (Jenkins/ Travis) Knowledge and experience in Java Knowledge of Spring ecosystems (Spring Boot)

This position comes with flexible working hours, remote options, and a competitive salary.

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.