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

Apply Now

Full-stack Developer (Python)

London
8 months ago
Applications closed

Related Jobs

View all jobs

Full Stack Data Engineer - Cape Town Technology & Data · Cape Town ·

Full Stack Data Engineer

PH6421-Full Stack Developer (with Data Engineering & LLM Training Experience)

Junior Data Scientist - Fully remote (UK based only) – TimeSeries, NLP

Data Scientist

Data Scientist

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

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.

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.