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

Apply Now

Full-stack Developer (Python)

London
7 months ago
Applications closed

Related Jobs

View all jobs

Full Stack Data Engineer

Full Stack Data Scientist

Lead Full-stack Data Scientist

Senior Full-Stack Data Scientist

Data Analyst

Data Engineer

Full-stack Developer (Python)

Job Location: London (Hybrid working opportunities)

Salary: up to circa £50,000 + discretionary bonus

KEY SKILLS: Full-stack developer / Python / Data Modelling / Computer Science

Job Overview:

We are working with an SME, in the data analytics space, operating within the sports industry. They have an urgent opportunity within their development team. The successful applicant to the post of Full-stack Developer will help build and maintain web applications (both backend and frontend) and contribute with the upkeep and efficiency of the infrastructure.

Key Responsibilities:

  • Full-stack development: Design (collaborating with the wider technical and non-technical teams), develop and maintain the front-end and back-end components of our internal platforms, ensuring its high performance, robustness, and security.

  • Database integration: Implement database solutions for financial data, including data modelling, querying, and optimisation, to ensure efficient data access, consistency and storage.

  • Backend: Build a maintainable Python backend that can fluently cope with a daily changing product landscape.

  • API Integration: Create robust interfaces to facilitate seamless communication between the front-end, back-end and external APIs.

  • User Experience (UX): Collaborate with users to implement intuitive interfaces that enhance the overall user experience.

  • Testing and Quality Assurance: Write and execute unit tests, integration tests to maintain code quality and reliability.

  • Troubleshooting: Investigate and resolve technical issues, bugs, and performance bottlenecks promptly to ensure the platform's stability.

  • Documentation: Create and maintain comprehensive technical documentation, including architecture diagrams, code comments, and user guides.

  • Collaboration: Work closely with a cross-functional team, including product manager, analysts, and data scientists, to align technical solutions with business goals.

    Job Requirements:

  • Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience).

  • Experience as a Full-stack Developer, with a strong preference to those working in a fast paced, start-up environment.

  • Proficiency in Python. Experience with front-end technologies (e.g. React) and back-end frameworks (e.g. FastAPI).

  • Solid understanding of relational databases and proficiency in SQL.

  • Knowledge of RESTful API design and development.

  • Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities.

  • Experience with cloud platforms (e.g. AWS) is a plus. DevOps and CI/CD experience is a plus

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.

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.

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.

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.