Job ID 310307
Our client is the world's leading online dedicated supermarket and they are on a mission to transform the future of online shopping through cutting-edge technology innovation. They have an exciting opportunity for a MLOps Principle Engineer to join their team. This position is well-suited to a candidate with strong software engineering skills with a proven track record of productionising software products.
This position is based in the "Advanced Technology – Robotics" department and answers to the Engineering Manager. The successful candidate will grow and develop the Inventory Recognition vision team. With the team to design, implement, deploy and support computer vision algorithms for robotic picking on production and at scale.
Roles and Responsibilities
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 our 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.
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.
Knowledge Skills and Experience
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 C++, Python, or Java (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.Desirable
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
Equity Plan (10-15% of salary) for eligible roles
Wellbeing support through Apps such as 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 Sharesave and Buy as You Earn share schemes
15% discount 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)
How to Apply:
For more information on the role, or an informal discussion regarding opportunities we have available, please contact Zuzanna Szelest on (phone number removed) & (url removed).
Why work with Proactive?
Proactive Technical Recruitment is an industry leading, specialist engineering recruitment agency focused on the automation, manufacturing and robotics sectors. We offer specialist recruitment services to a niche customer base, vetting that our clients offer the best opportunities for your career. Proactive encourages and promotes equality and diversity within the workforce. We act with honesty, integrity and impartiality, ensuring your application is considered on its own merits and without bias.
Proactive Technical Recruitment is committed to equality in the workplace and is an equal opportunity employer.
Proactive Technical Recruitment is acting as an Employment Business in relation to this vacancy