Backend Software Engineer

London
2 days ago
Create job alert

Back-End Software Engineer
London (Hybrid)
£70,000 - £80,000 + Equity + Progression

An excellent opportunity awaits a driven software engineer looking for a backend-focused role with strong TypeScript and Node skills to join an exciting opportunity offering brilliant progression, personal development opportunities, and equity included in the package.

This company is an exciting startup developing an AI-driven solution for the renewable energy sector.

In this role, you'll join an established core team based in London, working to further drive the capability and scalability of the AI-driven backend services using Node.js and TypeScript. You'll also work with Azure for containerisation, deployments, databases, and microservices. This is a hybrid role, based in the London office three days a week.

The ideal candidate for this role is someone with a strong interest in LLMs, AI, or ML, looking for a backend engineering-focused role and wanting to play an important role in the future growth of the business. The right candidate will have solid experience developing backend services, strong skills in Node.js and TypeScript, and experience with cloud deployment and containerisation (Azure/AWS/GCP).

This is a fantastic opportunity for a software engineer looking for a backend-focused role to join an exciting AI start-up in a position offering great progression, growth opportunities, and equity.

The Role:
*Backend software development using Node.js and TypeScript
*Database (SQL/NoSQL) and API development
*System architecture and Azure cloud deployment
*Strong progression opportunities within an AI-driven start-up
*Hybrid-based role, three days a week in London

The Person:
*Strong experience in backend services development (Node.js and TypeScript)
*Interest or experience in LLMs, AI, or Machine Learning
*Strong experience working with cloud infrastructure (AWS, Azure, GCP)
*Looking for a fast-paced start-up environment
*Based in or within a commutable distance to Central London

Reference Number: BBBH (phone number removed)

To apply for this role or for to be considered for further roles, please click "Apply Now" or contact Marcel Cerek at Rise Technical Recruitment.

Rise Technical Recruitment Ltd acts as an employment agency for permanent roles and an employment business for temporary roles.

The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates

Related Jobs

View all jobs

Python Developer Anaconda - MedTech

Senior Backend Engineer - Data Engineer

Senior Java Backend Engineer

Full Stack Software Engineer

Senior Ad Tech Engineer

Data Platform Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Leading UK Machine Learning Labs and Institutes: Pioneering the Future of AI

Over the past decade, machine learning (ML) has transformed from an academic field into a linchpin of commercial innovation. From personalised product recommendations to healthcare diagnostics, it fuels the algorithms behind every major breakthrough in the digital world. For data-driven enterprises and researchers, the United Kingdom offers a vibrant landscape of top-tier ML labs, academic institutes, and forward-looking industries. If you’re aiming to forge a career in this exciting domain—be it in cutting-edge research, industry applications, or policy-making—this comprehensive guide, written for MachineLearningJobs.co.uk, will walk you through the leading UK machine learning hubs. We’ll delve into the opportunities they present, the latest research challenges they tackle, and the career paths that await those ready to shape the future of AI.

Shadowing and Mentorship in Machine Learning: Gaining Experience Before Your First Full-Time Role

How to Find Mentors, Build Industry Connections, and Hone Your Technical & Soft Skills for a Thriving ML Career Machine learning (ML) is transforming industries at a rapid pace, fuelling breakthroughs in healthcare, finance, e-commerce, manufacturing, cybersecurity, and beyond. As the demand for ML expertise skyrockets, the competition for early-career opportunities has intensified. It’s not enough to complete an online course or a university degree; employers are looking for proven, hands-on experience. So, how do you stand out from the crowd? Two powerful strategies—shadowing and mentorship—can help you bridge the gap between academic theory and industry practice. By learning directly from experienced professionals, you gain practical insights and build the confidence needed to excel in real-world ML roles. In this in-depth guide, we’ll explore why mentorship is crucial, how to find the right mentors (both formally and informally), how to demonstrate your value as a mentee, and the best ways to shadow machine learning practitioners. By the end, you’ll be equipped with the knowledge and tactics to jump-start your career and secure your first full-time ML role.

Tips for Staying Inspired: How Machine Learning Pros Fuel Creativity and Innovation

Machine learning (ML) continues to reshape industries—from personalised e-commerce recommendations and autonomous vehicles to advanced healthcare diagnostics and predictive maintenance in manufacturing. Yet behind every revolutionary model lies a challenging and sometimes repetitive process: data cleaning, hyperparameter tuning, infrastructure management, stakeholder communications, and constant performance monitoring. It’s no wonder many ML professionals can experience creative fatigue or get stuck in the daily grind. So, how do machine learning experts keep their spark alive and continually generate fresh ideas? Below, you’ll find ten actionable strategies that successful ML engineers, data scientists, and research scientists use to stay innovative and push boundaries. Whether you’re an experienced practitioner or just breaking into the field, these tips can help you fuel creativity and discover new angles for solving complex problems.