Staff MLOps Software Engineer

Key Skills

AWS, Data Engineering, Deep Learning, Design, Docker, Google BigQuery, Google Cloud Platform (GCP), Machine learning techniques, MLOps tools

Job Description

What does the team do...

The team designs and implements machine vision Deep Learning solutions that run on production and at scale. We manage our products end-to-end and drive every aspect of the software engineering lifecycle.

What would I be doing?

You will be the go-to person for architecting and implementing state-of-the-art automation pipelines that train, deploy to production, and retrain Deep Learning vision models and related software services at scale. Continuously transform and grow Ocado Advanced Technology offerings with new vision products and capabilities in the space of product recognition and process optimization. Use Deep Learning models and advanced MLOps tools running on both edge and cloud (AWS) infrastructure.

You will:

• Design, implement and operate automated pipelines for Data Engineering (data management, feature engineering, labeling, etc.), ML model training, retraining, and deployment for live and offline Deep Learning models. 
• Continuously evaluate MLOps tools and approaches and drive build or buy decisions in the Machine Vision space.
• Foster impeccable code quality and code delivery processes including overseeing all aspects of design, development, testing, deployment, and maintenance phases.
• Provide guidelines and mentorship to other team members.
• Drive knowledge-sharing initiatives within the team and across teams.
• Partner with the product teams to identify and deliver the next generation of products in the machine vision area. 
• Discover, evaluate, and implement new tools and practices.

What we are looking for

• The ability to design and implement state-of-the-art MLOps pipelines to train, deploy and run ML Models at scale.
• Proficient in implementing distributed production software systems with Python (architecture, design patterns, testing, etc.).
• Deep practical experience with cloud services e.g. AWS or GCP.
• Extensive experience with Docker containers and container orchestration services. 
• Demonstrable experience in releasing and maintaining code in production

This would make you stand out from the crowd

• Experience with VertexAI or ClearML will be considered a strong plus
• Experience with GCP data services (BigQuery etc.)
• Knowledge of ELK stack and New Relic
• Experience with vision hardware - cameras and sensors
• Experience in robotics or similar domain involving hardware, sensors, etc.

What we offer you...

Our employee benefits are designed for you, we care about people and we’ve ensured we have a wealth of benefits that focus on your well-being. We regularly review our benefits to ensure we are supporting our employees appropriately. Currently, we offer technically stretching work, a competitive salary and;

• A Work from Home policy that sees you in the office typically 40% of your time. 
• 30 days ‘working from anywhere’ policy 
• Wellbeing support through Apps and an Employee Assistance Programme
• 25 days annual leave, rising to 27 days after 5 years service (plus optional holiday purchase)
• Pension scheme (various options available including employer contribution matching up to 7%)
• Private Medical Insurance
• 22 weeks paid maternity leave and 6 weeks paid paternity leave (once relevant service requirements complete) 
• Train Ticket loan (interest-free)
• Cycle to Work Scheme
• Free shuttle bus to and from Welwyn Garden City Train Station to the Welwyn Garden City offices
• Opportunity to participate in Share save and Buy as You Earn share schemes
• 15% discount on Ocado.com and free delivery for all employees
• Income Protection (can be up to 50% of salary for 3 years) and Life Assurance (3 x annual salary)