Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our ML Ops team to build cutting-edge motion capture products.
- Company: Vicon is an award-winning leader in motion capture technology.
- Benefits: Enjoy a competitive salary, hybrid work, and great perks like private medical insurance.
- Why this job: Be at the forefront of technology in a creative and impactful industry.
- Qualifications: Relevant academic or industry experience in ML Ops and programming skills required.
- Other info: Work in a vibrant academic city with no on-call expectations.
The predicted salary is between 42000 - 84000 ÂŁ per year.
Department
Vicon Markerless
Location
Botley, Oxfordshire
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
- Join the ML Operations teams which support the ML Development team in building leading‑edge motion capture products through provisioning and maintaining a modern ML Operations stack.
- Build and maintain data acquisition pipelines, data management and ML model training infrastructure (software and on‑premise hardware).
- Provide both on‑prem, self‑managed systems and leverage AWS infrastructure.
- Guide the technical direction of the ML Ops team, suggest new areas of development and potentially lead your own project.
- Work in a hybrid on‑site/home‑based environment; no expectation to be “on call” outside core office hours.
Required Skills, Knowledge and Expertise
- Relevant academic (research Masters level) and/or industry experience.
- Excellent knowledge and experience of managing an on‑premise Kubernetes 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, Lambdas).
- Experience with ML toolkits (PyTorch, Lightning, etc.) and understanding of how these fit into ML Ops pipelines and tools.
- Ability 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
Machine Learning Operations Engineer employer: Vicon
Contact Detail:
Vicon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Operations Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning operations, especially around Kubernetes and Kubeflow. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the ML Ops community, particularly those who have experience with motion capture technology. Engaging in discussions on platforms like LinkedIn or attending relevant meetups can help you gain insights and potentially get referrals.
✨Tip Number 3
Prepare to showcase your programming skills in Python by working on personal projects or contributing to open-source initiatives. Having a portfolio of relevant work can set you apart and provide concrete examples of your capabilities.
✨Tip Number 4
Research Vicon's products and their applications in various industries. Understanding how your role as an ML Ops Engineer fits into their mission will allow you to tailor your conversation during interviews and show genuine interest in the company.
We think you need these skills to ace Machine Learning Operations Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning operations, particularly with Kubernetes and AWS. Use specific examples that demonstrate your skills in managing ML pipelines and working with tools like Kubeflow and PyTorch.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for Vicon and the role. Mention how your background aligns with their needs, especially your experience with on-premise systems and cloud infrastructure. Show that you understand their products and the industries they serve.
Showcase Relevant Projects: If you have worked on projects related to motion capture or ML Ops, be sure to include them in your application. Describe your role, the technologies used, and the impact of your work. This will help demonstrate your practical experience.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in a technical role.
How to prepare for a job interview at Vicon
✨Showcase Your Technical Skills
Make sure to highlight your experience with Kubernetes and Kubeflow during the interview. Be prepared to discuss specific projects where you've managed on-premise clusters or implemented ML Ops solutions, as this will demonstrate your hands-on expertise.
✨Familiarise Yourself with Vicon's Products
Research Vicon's motion capture technology and its applications in various industries. Understanding their products will not only show your interest but also allow you to ask insightful questions about how your role as an ML Ops Engineer can contribute to their innovations.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities, especially related to ML pipelines and AWS services. Practice explaining your thought process clearly, as this will help interviewers gauge your analytical skills and approach to challenges.
✨Demonstrate Your Passion for Motion Capture
Express your enthusiasm for working with human motion capture and related technologies. Share any relevant experiences or projects that align with Vicon's focus, as this will show your commitment to the field and your potential fit within the team.
