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

Apply Now

Python Developer - Machine Learning - Hybrid Remote

Vertech Group (UK) Ltd
London
6 months 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

Python DeveloperLocation: 3 days per week from home / 2 days in LondonSalary: Circa 65K – 72K + BenefitsPython Developer required by fast-growing, Top Tech company!This is a key and varied role where you’ll be responsible for developing scalable backend systems for high-traffic services and implementing machine learning algorithmsEssential: * At least 5yrs backend development using Node.js * RESTful API development * Experience with Machine Learning tools (e.g. TensorFlow, PyTorch or similar) * Knowledge of AWS, Docker & Kubernetes for scalable deployments * Passion for building high-performance systemsTremendous opportunity offering plenty of scope for career progression in a friendly, innovative environment where you’ll be able to bring ideas and keep up-to-date with the latest technologies!Apply now for FULL details...

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.