Python developer - Financial services - London

City of London
10 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist / Statistician (Model Developer)

Data Scientist / Statistician (Model Developer)

Data Scientist / Statistician (Model Developer)

Data Analyst

Data Scientist - London, UK (Fully REMOTE)

Data Scientist

Python developer - Financial services - London

Experienced Python developer looking to take real ownership of technical standards and influence the strategic direction of Python development within a forward-thinking organisation.

Client Details

Python developer - Financial services - London

A recognised Financial services organisation with a strong presence of credit and investment management expertise.

Description

Python developer - Financial services - London

Key Responsibilities:

Define and enforce Python development best practices, ensuring scalable and maintainable code.
Develop secure, efficient Python-based tools and frameworks, including APIs, data pipelines, and client-facing applications.
Collaborate with business and technical teams to understand requirements and deliver effective technical solutions.
Drive automation and reusable components to improve development efficiency across the business.
Lead DevOps practices tailored to Python development, from version control to continuous integration and deployment.
Mentor junior developers and contribute to internal knowledge-sharing initiatives.
Stay current with trends in Python development, AI, and machine learning to support emerging opportunities.Profile

Python developer - Financial services - London

To be successful a candidate, you will need:

5-8 years of experience in Python development, ideally within financial services, asset management, or private credit.
Expert proficiency in Python and frameworks such as: Flask, Django, Pandas, NumPy.
Strong experience in financial modelling and optimising asset management systems using Python.
Master's in computer science or a similar qualification.
Expertise in cloud platforms, especially Azure, and integrating Python with cloud-based services.
Knowledge of database management systems (SQL, NoSQL) and experience developing APIs.
Proven ability to lead complex workstreams with tight deadlines while collaborating with key internal stakeholders.
A team-oriented mindset with excellent interpersonal and communication skill.s

Job Offer

Python developer - Financial services - London

£(Apply online only) per day - Inside IR35
The role will be mostly onsite with 1 day working from home.
Contract Duration - 6 Months rolling contract

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.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.