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

AI (artificial intelligence) DevOps Engineer

AI (artificial intelligence) DevOps Engineer

Machine Learning Engineer

Senior DataOps Engineer

Machine Learning Ops Engineer

Senior Data Scientist

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.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

Jobs

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

🍪 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.