National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Contract Python Software Engineer - Trading

City of London
3 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Data Engineer

Global Financial Services Firm is hiring for a Contract Python Software Engineer to join a forward-thinking team, working on scalable cloud-based solutions and API development. You will ideally have a background in Quant Finance / Commodity Trading / Regulatory. This is a 6-month Contract paying between £(Apply online only) per day Inside IR35. Hybrid working with 2 days per week in the office.

In this role, you will work closely with Solution Architects, Product Managers, and Project Managers, translating business needs into technical reality while identifying risks and dependencies along the way.

Key Responsibilities:

  • Stakeholder Collaboration: Work with technical and business teams to gather and define
    requirements.
  • Solution Design: Partner with Solution Architects to design and document target-state
    solutions.
  • Agile Delivery: Lead and contribute to an Agile software team, delivering high-quality,
    fully tested solutions in small increments.

    Required Technical Skills:

  • Cloud-Based System Design & Development - Experience building scalable cloud applications.
  • Python Development - Expertise in building and testing RESTful API services.
  • Automated Testing - Experience with unit, integration, component end-to-end, and
    performance testing.
  • Azure Expertise - Working knowledge of Azure Entra ID, AKS, Front Door, networking & DNS,
    SQL Server, Cosmos DB, Service Bus, and Blob Storage.
  • Message Bus/Queue Systems - Hands-on experience with message-driven architectures.
  • Authentication & Security - Strong understanding of OIDC, OAuth 2.0, and JWTs.

    Other skills include:

  • Systems Integration - Experience integrating various software platforms.
  • Kubernetes & Kafka - Hands-on experience with container orchestration and event streaming.
  • Infrastructure as Code (IaC) - Experience with Terraform and GitHub Actions.
  • Monitoring & Observability - Familiarity with OpenTelemetry (OTEL).
  • Data Science Libraries - Working knowledge of NumPy and Pandas.

    Please apply for immediate interview!

    CBSbutler is operating and advertising as an Employment Agency for permanent positions and as an Employment Business for interim / contract / temporary positions. CBSbutler is an Equal Opportunities employer and we encourage applicants from all backgrounds
National AI Awards 2025

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 Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.