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

Apply Now

Python Developer

Trust In SODA
London
9 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist Python Software - London (IT) / Freelance

Junior Developer/Analyst, Data Science and Analytics - Macquarie Group

Power BI Developer / Data Analyst

Data Engineer

Data Scientist | Python | SQL | Statistics | Machine Learning | Hybrid, Oxford

Data Engineer

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.

Jobs

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.

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.

🍪 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.