NodeJS Developer - London - Perm Hybrid

London
9 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer (Forward Deployed)

Job Title: Software Engineer - Node.js
Location: London (Hybrid - initial regular presence, reducing over time)
Salary: £60,000-£70,000 per annum (DOE)
Job Type: Permanent

Please note we cannot offer sponsorship for this role

Overview:
We're looking for an experienced Software Engineer with strong Node.js skills to join our growing development team. This is an exciting opportunity to contribute to the evolution of our internal tooling platform, built on Node.js, Google Cloud Platform, and BigQuery.

You'll be joining a highly collaborative team at a pivotal time, with opportunities to shape new architecture and work on forward-thinking projects, including AI and LLM (Large Language Model) integrations.

Key Responsibilities:

Develop and maintain internal tools and services built on Node.js

Work closely with cross-functional teams to understand requirements and deliver high-quality solutions

Optimise and scale systems around BigQuery and GCP infrastructure

Participate in architecture discussions and help define best practices moving forward

Explore and implement integrations with AI and LLM technologies

Write clean, testable, and scalable code following modern development principles

Key Skills & Experience:

Strong commercial experience with Node.js

Familiarity with Google Cloud Platform and services like BigQuery

Solid understanding of API development, event-driven architecture, and asynchronous programming

Experience working in an agile development environment

Exposure or interest in AI/LLM integration is highly desirable

Good communication and collaboration skills

Ability to work in a hybrid environment with an initial focus on in-office collaboration in London

Why Join Us?

Opportunity to work on innovative, high-impact internal tooling and AI projects

Flexible hybrid working with reduced office presence over time

Competitive salary and benefits

A supportive, forward-thinking team invested in continuous improvement and technical excellence

If you're a proactive engineer with a passion for Node.js and an interest in cutting-edge technologies, we'd love to hear from you. Apply today to be part of our 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.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.