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

Apply Now

DevOps Engineer

Oxford
11 months ago
Applications closed

Related Jobs

View all jobs

DevOps Engineer (MLOps / LLMOps)

DevOps Engineer (MLOps / LLMOps)

Senior DevOps Engineer, Machine Learning

AI (artificial intelligence) DevOps Engineer

Machine Learning Engineer

MLOps Platform Engineer

DevOps Engineer

On the lookout for DevOps Engineer with a strong Python development background and cloud expertise in AWS? We're offering an exciting opportunity in Oxford that will put you at the forefront of the AI revolution.

Role Highlights:

Security Clearance: SC Cleared
Location: Oxford
Salary: Up to £80k

Tech Stack You'll Work With:

AWS: Wide range of AWS cloud services to deliver robust and scalable solutions.
Terraform: Utilise Infrastructure as Code practices to automate and manage infrastructure efficiently.
Kubernetes: Orchestrate containerised applications to enhance reliability and flexibility.
AI/ML Tools: Engage with the latest AI and machine learning technologies to innovate and optimise processes.
CI/CD Pipelines: Continuous deployment for seamless software delivery.
Why Apply:

Cutting-Edge Projects: Be at the forefront of technology, working on transformative projects that leverage the latest advancements in AI and cloud computing.
Innovative Environment: Join a forward-thinking team that values creativity, collaboration, and continuous learning.
Career Growth: Access unparalleled opportunities for professional development and progression in a fast-evolving tech landscape.
Impactful Work: Contribute to mission-critical solutions that make a real difference.
If you are interested or you know anyone that might be, then hit apply below or send your CV to (url removed) and we can talk through the fine print!

DevOps Engineer

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

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.

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.