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

Apply Now

Python Developer

Trust In SODA
London
8 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst / BI Developer - Customer & Digital Analytics

Senior Data Scientist - Financial Services - Outside IR35

Data Engineer - Customer relationship

Senior Data Engineer

Data Analyst

Head of data engineering - remote

Are you a passionate and skilled Back-End Engineer ready to make a real impact?


We're seeking a passionate individual to join a dynamic and innovative Fintech company that's revolutionizing the way businesses access finance. They're not just another tech company; they're building a future where small & big businesses have an equal opportunity to thrive.


About the Role:


You'll be a key player in developing and scaling cutting-edge technology that empowers businesses. As a Back-End Engineer, you'll:


  • Buildrobust and scalable systems that power our innovative financial products.
  • Design and implementsophisticated data structures to fuel our machine learning models, driving accurate and personalized financial decisions.
  • Createseamless integrations with leading e-commerce platforms, making our solutions accessible to businesses of all sizes.
  • Collaborateclosely with cross-functional teams (Product, Design, Data Science) to deliver exceptional user experiences.
  • Contributeto a challenging and rewarding work environment where innovation is celebrated.


About You:

  • You're a proficient Python developer with a strong foundation in back-end engineering principles.
  • You have a deep understanding of relational databases and experience building, managing, and optimizing them.
  • You're passionate about data and possess strong analytical and problem-solving skills.
  • You're a team player with excellent communication and collaboration skills.


Bonus Points:

  • Experience with Django and PostgreSQL.
  • You have experience or a keen interest in Front-End development, particularly with React + Typescript.
  • Familiarity with DevOps practices, including containerization and CI/CD.
  • A strong academic background in Mathematics, Physics, Computer Science, Engineering, or a related field.


Why Join Us?

  • Make a real impact:Contribute to a mission-driven company that's empowering businesses and shaping the future of finance.
  • Grow your career:Join a high-growth environment with opportunities for professional development and advancement.
  • Enjoy a rewarding work-life balance:Competitive salary, flexible work arrangements, and a comprehensive benefits package.
  • Be part of a vibrant culture:Experience a dynamic and supportive work environment with team events, social clubs, and a focus on employee well-being.


Ready to make your mark?

Apply today and join our team of talented individuals in building the future of finance!

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.

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.

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.