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

Apply Now

Python developer - Financial services - London

City of London
5 months ago
Applications closed

Related Jobs

View all jobs

Python Developer Machine Learning SQL Data

Python Developer, SQL, Machine Learning

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

Data Engineer

Senior Data Engineer

Senior Data Engineer

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.

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.