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

Apply Now

Machine Learning Operations Engineer

Vicon Motion Systems Ltd.
Oxford
1 month ago
Create job alert

Machine Learning Operations Engineer

Department: Vicon Markerless

Employment Type: Permanent - Full Time

Location: Botley, Oxfordshire

Reporting To: Timothy Smith


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


#J-18808-Ljbffr

Related Jobs

View all jobs

Machine Learning Operations Engineer

Machine Learning Operations Engineer

Machine Learning Operations Engineer

Machine Learning Operations Engineer

Machine Learning Operations Lead

Machine Learning Research Engineer - 5490

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.

Jobs

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.

Jobs

Translucent Careers: Senior Artificial Intelligence Engineer in London

The global landscape of artificial intelligence is evolving rapidly, and nowhere is this transformation felt more strongly than in the financial and accounting industries. AI is no longer just a supporting technology; it is becoming the backbone of innovation, efficiency, and decision-making. One of the most exciting companies at the forefront of this movement is Translucent, a dynamic business redefining how accounting professionals work with AI-driven tools. For professionals seeking to combine technical excellence with meaningful industry impact, Translucent represents a rare career destination. At the heart of their current expansion is an opening for a Senior Artificial Intelligence Engineer in London. This role combines high-level technical leadership, hands-on development, and an opportunity to influence the direction of an emerging force in AI. In this article, we’ll explore: Who Translucent are and why they matter. The significance of AI in financial technology (fintech) and accounting. A deep dive into the Senior AI Engineer role. Skills and requirements needed for success. Career growth and opportunities at Translucent. How artificialintelligencejobs.co.uk helps professionals connect with transformative employers like Translucent.

Careers

The Future of Artificial Intelligence Jobs: Careers That Don’t Exist Yet

Artificial Intelligence (AI) has already transformed the global job market. From data scientists and machine learning engineers to AI ethicists and prompt engineers, many roles that seemed futuristic only a decade ago are now mainstream. Yet this is only the beginning. AI is progressing faster than any other technology in history, and the UK is at the forefront of its adoption, with government strategies, academic research, and private investment all accelerating growth. As generative AI, autonomous systems, robotics, and cognitive computing expand, completely new careers will emerge—jobs that don’t yet exist, but which will soon become central to how organisations, societies, and economies function. This article explores what those roles might look like, why they will matter, and how today’s professionals can prepare for careers that are still being invented.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.