idpp | Lead Full Stack Engineer

idpp

East London

8 months ago

Applications closed

Have you been a founding/lead Full Stack Engineer in an exciting start-up / scale up?Does working for a heavily backed, forward thinking AI company in London excite you?Are you looking to help scale and deliver new features that delight users?If so, read on…This is a full-time, on-site role, requiring five days per week in our London office.Salary: £100,000 - £120,000, based on experienceBenefits include Company equityThe client Leveraging next-generation artificial intelligence, they deliver transformative insights and seamless user experiences, setting a new benchmark for the industry.As they experience rapid growth, this client is looking for a Senior Fullstack Engineer to help scale and deliver new features that delight users.The Team You'll Be JoiningThe team is comprised of experienced leaders and engineers from top-tier companies and research institutions, bringing deep expertise in AI, machine learning, and software development. Backed by leading venture capital firms, we are a revenue-generating start-up with strong financial backing and years of runway.Joining this team means tackling exciting technical challenges at the intersection of user experience, machine learning, and infrastructure, all within a fast-paced, collaborative environment that values learning and excellence.Your RoleAs a Senior Fullstack Engineer, you’ll play a pivotal role in building and optimizing systems to meet growing user demand. Your responsibilities will include:Designing and implementing backend APIs while collaborating with the edge-computing team.Creating user-facing front-end interfaces in partnership with the product team.Ensuring the system is scalable, reliable, and has robust observability.Delivering high-quality features with thorough testing and debugging.What We’re Looking ForWe’re seeking a highly motivated engineer with:3+ years of industry experience, building scalable systems.Strong knowledge of backend technologies, particularly Python or Go.Experience working with databases such as Postgres and Redis.Proficiency in front-end technologies, including Typescript, react-query, React, and modern build tools.Bonus Skills (helpful but not essential):Familiarity with infrastructure-as-code solutions (e.g., Pulumi on AWS).Experience with mobile development (e.g., React Native).Exposure to platform engineering, C++, or video streaming technologies.What We OfferCompetitive salary: £100,000 - £120,000, based on experience.Equity in a fast-growing, innovative company.100% employer-paid private dental and vision insurance.Join in redefining what’s possible with AI-powered systems. Apply today!

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

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

Sep 11, 2025

Education Careers

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Sep 5, 2025

Jobs

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

Aug 31, 2025

Careers

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.