Python Developer - Trading Applications - London/Hybrid

London
1 year ago
Applications closed

Related Jobs

View all jobs

Junior Python Data Scientist — UK (Master’s Required)

Senior Machine Learning Engineer

Senior Data Scientist

Machine Learning Engineer

Senior Big Data Engineer – Scala, Python & Java

GIS Data Engineer: Cloud Pipelines & Python

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.

Careers Jobs

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

Jobs

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Education Jobs

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

🍪 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.