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

Apply Now

Python Developer

Glasgow
9 months ago
Applications closed

Related Jobs

View all jobs

Staff Machine Learning Engineer

Data Analyst / BI Developer - Customer & Digital Analytics

Data Analyst / BI Developer - Customer & Digital Analytics

Principal MLOps Machine Learning Operations Developer for AI Research

Senior Data Scientist - Financial Services - Outside IR35

Data Engineer - Customer relationship

Job Description

I am looking for a highly skilled and motivated Python developer. In this role, you will collaborate with programming-language experts, developers, data scientists, and technical leads to drive best practices and enhance development experiences across the organisation. Your primary focus will be supporting and empowering our R language user community, which includes data scientists, researchers, quantitative strategists, and business analysts

Role & Responsibilities

Collaborate with a global team of programming-language experts, developers, data scientists, and technical leads.
Develop and implement common language/framework usage blueprints to ensure consistency and best practices.
Introduce and integrate industry-standard development tools into the organisation.
Engineer internal tools and libraries as needed to support development initiatives.
Serve as the primary point of contact for the firm's R language user community, which includes data scientists, researchers, quantitative strategists, and business analysts.
Support users by:
Assisting with setting up and troubleshooting their development environments.
Evaluating and on boarding third-party libraries.
Creating and maintaining user documentation.
Design and implement tooling and automation to streamline the development experience and minimise manual intervention
Skills & Qualifications

Essential

Core Python development
Prior R experience (or willingness to learn on the job)
Understanding of common development patterns such as IDE usage and interactive notebooks (e.g. Jupyter)
Familiarity with the enterprise Software Development Life-cycle (SDLC)
Familiarity with Linux
Good communication/organisation skills
Prior track record of leading technical delivery at feature level and/or serving as a key escalation point of contact Desired

Prior experience with OCI containerisation tools/platforms (such as Docker, Kubernetes)
High-level understanding of Windows developmentBenefits

Generous Holiday Scheme + Bank Holidays
Hybrid Working
70k Base Salary
Pension Scheme
Health and Well Being Programme

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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.