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

Apply Now

idpp | Lead Full Stack Engineer

idpp
East London
9 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.

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

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.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Jobs

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

🍪 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.