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

Apply Now

DEVOPS ENGINEER - DV CLEARED

Searchability Ltd
Manchester
1 year 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

DEVOPS ENGINEER - DV CLEARED NEW PERMANENT OPPORTUNITY AVAILABLE FOR A DEVOPS ENGINEER IN MANCHESTER Central Manchester Location with hybrid working options Close proximity to multiple tram stops and nearby train station £50,000 to £85,000 plus clearance bonus, performance bonus and benefits WHO WE ARE? We are recruiting for a leading technology and engineering consultancy known for delivering cutting-edge technical solutions to National Security and Defence clients. With over 50 years of expertise and heritage, they are at the forefront of innovation in data science, AI, and machine learning. Due to ongoing growth and over 8 years of secured work, they are looking for a talented Data Science Engineer to join their team and work on mission-critical data services. WHAT WILL THE DEVOPS ENGINEER BE DOING? As a DevOps Engineer, you will work with National Security customers and teams to deploy, integrate and support highly critical live solutions. You will work on a range of engagements with customers to deploy innovative platforms and applications. THE DEVOPS ENGINEER SHOULD HAVE…. DV clearance, we can't accept applications without DV clearance at this time Containerisation using Docker, Kubernetes, Helm or Openshift Infrastructure as Code (IaC) such as Terraform or Ansible Coding experience with backend language like Java, Python, Go and / or Rust. IT WOULD BE NICE FOR THE DEVOPS ENGINEER TO HAVE…. AWS experience or cloud-based data science solutions MLops or DataOps A great attitude towards new and innovative ways to utilise technology TO BE CONSIDERED…. Please either apply by clicking online or emailing me directly at will.roebucksearchability.com For further information, call me on . I am available outside of normal working hours to suit your schedule. By applying for this role, you give express consent for us to process and submit your application to our client for this vacancy only. KEY SKILLS: DevOps Engineer, Platform Engineer, Site Reliability Engineer, AWS 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.