Machine Learning Operations Engineer

Vicon Motion Systems Ltd.; Packmoor; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading motion capture technology company is seeking an ML Ops Engineer to join their R&D team in Oxford, England. This role involves supporting ML Development, managing Kubernetes clusters, and maintaining ML Operations stacks. Candidates should have strong experience with AWS services and a good programming background in Python. The position offers a hybrid work model with competitive benefits including a pension scheme and private medical insurance.

Benefits

Competitive salary

10% Company Pension

25 days Annual Leave

Life Cover

Private Medical Insurance

Cycle to work scheme

Free On-site Parking

Qualifications

• Excellent knowledge and experience of managing an on-premise Kubernetes cluster.
• Good programming ability in Python with familiarity with Linux systems.
• Experience using AWS services like Cognito, S3, EC2.

Responsibilities

• Support the ML Development team in building motion capture products.
• Maintain a modern ML Operations stack covering data management and model training.
• Guide the technical direction of the ML Ops team and suggest new development areas.

Skills

Kubernetes management

Kubeflow

Python programming

AWS services

ML toolkits

Designing MLOps solutions

Tools

AWS

MLflow

Job description

Overview

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

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