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

Apply Now

Machine Learning Engineer

Explore Group
Coventry
3 weeks ago
Create job alert

An exciting opportunity to join a small, high-impact AI team building an internal AI Platform that powers the next generation of intelligent products and services.


You’ll work on cutting‑edge AI infrastructure, collaborate with experienced platform engineers, and make a real impact on how AI innovation scales across the organization.


What you’ll be doing:

  • Building and maintaining a Kubernetes‑hosted AI platform (AKS)
  • Deploying and managing LLMOps tools such as LiteLLM, Langflow, and Langfuse
  • Implementing observability with Prometheus, Grafana, and Loki
  • Managing infrastructure through Terraform, ArgoCD, and GitHub Actions
  • Supporting internal AI applications including RAG, document processing, and internal AI assistants

What you’ll need:

  • 2–4 years in Platform or DevOps Engineering (Azure preferred)
  • Strong experience with Kubernetes, Docker, and Terraform
  • Programming or scripting skills in Python or Go
  • Familiarity with GitOps, Helm, and observability tools
  • A learning mindset and interest in LLM operations

Seniority level

Mid‑Senior level


Employment type

Full-time


Job function

Information Technology


To apply, contact the recruiter or send a direct message through the Explore Group platform.


#J-18808-Ljbffr

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer (Databricks)

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning 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.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

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.