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

Apply Now

Python Developer

Glasgow
1 year ago
Applications closed

Related Jobs

View all jobs

AWS Data Engineer

Machine Learning Engineer

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

Computer Vision Tech Lead

Quantitative Developer – Trading – MLOps/Python

Quantitative Developer - Trading - MLOps/Python

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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.

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.