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

Apply Now

Devops Engineer

Hale, Borough of Halton
11 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

Development Operations Engineer

Job Overview:
We are seeking a skilled Development Operations Engineer to join our dynamic team. As a Development Operations Engineer, you will play a crucial role in developing, maintaining and enhancing new technologies that will have huge positive environmental impacts.

The role is offered with a salary of £50 - £60K. Initially the role will be 100% site based, moving to hybrid in the future.

You must have a right to work in the UK as sponsorship cannot be provided.

Duties:

  • Collaborate with the data science teams to build pipelines and deploy to edge devices (cloud)

  • Store and process big data as Datalake/Datawarehouse and into ETL. (Athena, Amazon EMR, Amazon Redshift)

  • Implement CI/CD pipeline to train, validate and deploy machine learning model into cloud and edge.

  • Database orchestration for ML model predications.

  • Support the backend team in deploying to AWS.

    Required Skills

  • Degree in Computer Science, Engineering, software or data engineering.

  • 5+ years of CI/CD and ETL cloud and edge deployment for ML models.

  • 1+ years using cloud services (AWS preferably).

  • Excellent documentation and data presentation skills

  • A desire to work in a fast-paced startup environment.

  • Collaborate with cross-functional teams to implement and optimize DevOps practices.

    Nice to Have

  • Experience in real time inferencing using Kubernetes or any clustering based elastic services.

  • Experience solving problems in image processing (filtering, data augmentation for computer vision tasks).

  • Experience working with time series data generated by DAS sensors.

    Join our team as a Development Operations Engineer and be part of a forward-thinking organization dedicated to technological advancement. Apply now to contribute your expertise to our innovative projects

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.