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

Apply Now

Devops Engineer - Machine Learning

CoMind
London
8 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Data Engineer

Senior Data Engineer

Azure/Databricks Data Engineer

Senior Data Engineer

Senior Data Engineer

Join us in advancing neurotechnology for brain disorder patients globally.At CoMind, we are developing a neuro-sensing technology that will catalyse a modern wave of neuroscience and neurology applications within medical devices.In joining us, you are helping to create cutting edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world.OUR CULTURE

Our mission is important and ambitious. Our world class team is a diverse mix of specialisms and perspectives, united by our passion to make positive change. We encourage an open, collaborative, and inclusive working environment, inspiring each other to challenge the status quo whilst solving challenging, real-world problems.

Our culture is one of continuous learning. We pursue growth, invest in employee development, perform highly, and over achieve by default. We celebrate our short-comings, reflecting and learning every sprint.

We are growing fast. Alongside our focus in new product development, we love to have fun and get to know each other through weekly team lunches, socials, and fitness clubs.

#J-18808-Ljbffr

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.