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

Apply Now

Python Developer - Trading Applications - London/Hybrid

London
11 months ago
Applications closed

Related Jobs

View all jobs

Staff Machine Learning Engineer (Competitive + Equity) at VC-backed AI logistics platform

Staff Machine Learning Engineer

Computer Vision Tech Lead

Data Engineer

Data Engineer

Data Engineer

Job Title: Python Developer - Trading Applications
Location: London/Hybrid- Onsite 2-3 days per week, with flexibility to work remotely once up and running
Salary/Rate: Up to £500 per day INSIDE IR35
Start Date: As soon as possible
Job Type: 12 month contract initially + extensions

Company Introduction

Coltech is partnered with a leading Global Energy Trading client who are looking for an experienced Python Developer to join their team for a 12 month contract.

The Python Developer is a skilled professional with a strong track record in software engineering best practices, dedicated to delivering software products and applications that create significant business value. This individual will embody a continuous improvement mindset, focusing on optimizing processes and applications based on value-driven principles. The ideal candidate thrives in a global team environment and has substantial experience within the energy trading sector, demonstrating the ability to collaborate effectively and drive innovation.

Job Responsibilities

  • Translate and align functional requirements with technical concepts to ensure clarity and effective implementation.

  • Conduct estimation, solution design, and detailed technical design, including application deliverables such as code, tests, and documentation.

  • Provide solutions in accordance with enterprise technology principles, methods, standards, and practices.

  • Deliver business-critical applications in Python with scalable architecture design.

  • Deliver applications using an event-driven microservices architecture.

  • Manage databases, addressing performance issues, particularly with SQL Server.

  • Contribute to the definition and maintenance of standards, methods, and tools, incorporating best practices from market implementations.

  • Manage complex integration scenarios and interfaces across the ETRM landscape.

  • Develop and maintain solution patterns and best practices for software development.

  • Design, develop, and maintain robust back-end systems in Python.

  • Leverage Azure, GitHub Actions, CI/CD pipelines, Cache techniques, and SQL databases for efficient application development.

  • Collaborate with cross-functional teams, including analysts and business stakeholders, to deliver innovative and aligned solutions.

  • Optimize application performance and scalability using performance monitoring and tuning tools.

  • Implement security best practices in software development, ensuring compliance with relevant frameworks and standards.

    Required Skills/Experience:

  • Proven track record of relevant software development experience with Python.

  • Critical experience within a finance or trading environment.

  • Extensive delivery experience of Behavior-Driven Development (BDD) and writing testable code.

  • Proven experience working in agile teams, demonstrating the application of agile principles with lean thinking.

  • Useful experience blending data engineering with core software engineering.

  • Experience with cloud platforms (e.g., Azure, AWS) and containerization technologies (e.g., Docker, Kubernetes).

  • Proficient in profiling and optimizing Python code.

  • Awareness of executable documentation concepts.

  • Experience in providing support for trading applications.

  • FastAPI and Async Processing: Proven experience with FastAPI and async processing.

    Desired Skills/Experience:

  • Experience with other programming languages (C++, .NET) and frameworks.

  • Familiarity with Github Actions is a plus.

  • Experience with Databricks is a plus.

    Apply now for immediate consideration

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.