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

Apply Now

Machine Learning Operations Engineer

Oxford Metrics Plc
Oxford
1 month ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer – Insurance

Principal MLOps Machine Learning Operations Developer for AI Research

Senior ML Engineer with exp with Python, LLM, NLP and RAG systems

Data Engineering and Operations Lead

Staff Machine Learning Engineer

Staff Machine Learning Engineer

Description

Are you interested in working on products at the very cutting edge of technology? Want to join Vicon, an Academy Award®-winning company, and the world’s largest supplier of precision motion capture and tracking systems?
 
Vicon is the world leader in motion capture technology, developing high performance software and hardware products for the entertainment, engineering and life science industries. Vicon products are used in major feature films, games, and commercials, and are a crucial measurement tool for biomechanics, robotics, and cutting-edge science. 


Vicon is a subsidiary of Oxford Metrics Plc.   

We are looking for an excellent ML Ops Engineer to join our research and development team in Oxford, England.


Key Responsibilities

This opportunity is to join the ML Operations teams which supports the ML Development team in building leading-edge motion capture products through provisioning and maintaining a modern ML Operations stack.


This stack covers data acquisition pipelines, data management and ML model training infrastructure (SW and on-prem HW). We use both on-prem, self-managed systems and also leverage AWS infrastructure.


You will have opportunities to guide the technical direction of the ML Ops team, suggest new areas of development and the potential to lead your own project.


We offer a hybrid on-site/home-based working environment, with head office located in a major academic city. There is no expectation to be 'on call' outside core office hours.


Required Skills, Knowledge and Expertise

You will have relevant academic (research Masters level) and/or industry experience.


Essential Skills 

  • Excellent knowledge and experience of managing an on-premise Kubenetes cluster.
  • Excellent knowledge of Kubeflow and similar systems, e.g. MLflow
  • Good programming ability in Python with familiarity with Linux systems including scripting and system configuration.
  • Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc.
  • Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools.
  • Be able to design and implement MLOps solutions covering many different technologies.
Desirable Skills

  • Background in DevOps with exposure to CI systems, e.g. Jenkins
  • Familiarity with infrastructure as code, e.g. Ansible 
  • Experience, aptitude, and a desire to work with human motion capture, sport, animation tools and techniques.
  • Familiarity with C++.


Benefits

·       Competitive salary
·       10% Company Pension
·       25 days Annual Leave + Bank Holidays 
·       Life Cover
·       Private Medical with Optical / Dental Insurance
·       Permanent Health Insurance
·       Cycle to work scheme. 
·       Free On-site Parking
Oxford Metrics is a smart sensing and software company that enables the interface between the real world and its virtual twin. Our smart sensing technology helps over 10,000 customers in more than 70 countries, including all of the world's top 10 games companies and all of the top 20 universities worldwide. 
 
The Group trades through its market-leading division Vicon, Industrial Vision Systems, and recently acquired, The Sempre Group. Vicon is a world leader in motion measurement analysis to thousands of customers worldwide, including Red Bull, Imperial College London, Dreamscape Immersive, Industrial Light & Magic, and NASA. Industrial Vision Systems is a specialist in machine vision software and technology for high precision, automated quality control systems trusted by blue-chip, smart manufacturing companies across the globe including BD, DePuy, Jaguar Land Rover, Johnson & Johnson, Zytronic and Alkegen. Sempre is a measurement specialist solving manufacturing challenges across multiple industries. Through their expert in-house consultants and partnerships with over 25 well-known manufacturers including Jenoptik, Renishaw and Micro-Vu, Sempre offers an extensive range of products and software to customers in aerospace, automotive, medical, energy and precision engineering.
 
Founded in 1984 our Group is headquartered in Oxford with offices in the United Kingdom, United States and Germany. Since 2001, Oxford Metrics (LSE: OMG), has been a quoted company listed on AIM, a market operated by the London Stock Exchange. 

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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.