Senior MLOps Engineer

KDR Talent Solutions
Oxford
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Data Engineer

Senior Data Scientist

Lead Data/Head of Data Engineer

Senior Machine Learning Engineer - Research

Senior Data Analyst

4 days ago Be among the first 25 applicants


This range is provided by KDR Talent Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.


Base pay range

Direct message the job poster from KDR Talent Solutions


AI & Data Science Recruiter - Supporting companies in hiring the best professionals in across Data Science, AI and Machine Learning

Are you passionate about building cutting‑edge infrastructure that powers world‑class machine learning research? We’re partnering with a pioneering organisation at the forefront of science and technology to find a Senior MLOps Engineer who will play a key role in designing and operating high‑performance ML platforms.


The Opportunity

This is your chance to join a team that’s shaping the future of AI and scientific innovation. You’ll be part of a collaborative environment where experimentation is accelerated through robust, secure, and scalable infrastructure. If you thrive on solving complex challenges and want to make a global impact, this role is for you.


What You’ll Do

  • Design, build, and optimise GPU training and inference clusters for large‑scale ML workloads.
  • Implement high‑throughput data pipelines, focusing on I/O optimisation, caching, and data locality.
  • Drive performance benchmarking and resolve bottlenecks across compute, network, and orchestration layers.
  • Establish observability, resilience, and automated security controls for sensitive research environments.
  • Collaborate with research and data teams to forecast capacity and streamline ML experimentation pipelines.
  • Cloud Platforms: AWS, Azure, GCP (cloud‑agnostic approach).
  • Storage & Compute: Lustre, high‑throughput storage systems, GPU architecture, high‑speed networking.

What We’re Looking For

  • Proven experience designing and operating ML compute clusters at scale.
  • Strong knowledge of GPU architecture and distributed training environments.
  • Expertise in IaC and containerised systems.
  • Ability to work autonomously and collaboratively in a fast‑paced, innovative setting.

Why Apply?

  • Work on projects that have a global impact.
  • Join a culture that values creativity, collaboration, and continuous learning.
  • Enjoy a comprehensive benefits package including private medical insurance, enhanced holiday, pension, and more.

Ready to take the next step in your career? Apply today and be part of a team that’s redefining what’s possible in AI and scientific innovation. Send us your CV or get in touch to learn more – your future starts here!


Seniority level

Mid‑Senior level


Employment type

Full‑time


Job function

Information Technology


Industries

  • Software Development
  • Data Infrastructure and Analytics
  • IT System Custom Software Development

Referrals increase your chances of interviewing at KDR Talent Solutions by 2x


#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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.