Machine Learning Ops Engineer

At DigitalGenius (DG), we are using AI Agents to transform customer experience for ecommerce brands. With a proprietary approach to agentic AI, we have a unique opportunity to become the undisputed leader in our industry. We're looking for excellent candidates to join our dedicated, thoughtful, and hardworking team to help us achieve that goal. We are a global company with offices in London, New York, and people across the world. Our customers include some of the biggest names in retail including On, Rapha, Air Up, Holland & Barrett, AllSaints, Honeylove, and Clarins.

The continuous improvement of our products and the range of innovation projects we are committed to require us to scale our Machine Learning team. We are looking for an MLOps Engineer to join our core AI Team. This is a highly technical role for an outstanding individual who can take ownership of projects and start new initiatives.

As an MLOps Engineer, you will be responsible for designing, deploying, and maintaining scalable infrastructure and processes that support our AI systems in production. Your time will be divided between improving our ML infrastructure, building deployment and monitoring systems, and working closely with our ML engineers and product teams. This is an excellent opportunity for those with strong Engineering and DevOps capabilities and a deep interest in operationalising AI solutions. We are looking for someone with complementary skills that extend into infrastructure and observability, preferably with experience in E-Commerce.

The AI team owns all ML-related research, implementation and maintenance. In practice, this means keeping up to date with best practices in production ML, developing and supporting scalable infrastructure, and enabling faster and safer experimentation and deployment.

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• Proactive approach with team members and clients
  
• Continuous improvement of ML infrastructure and operations
  
• Take ownership of the deployment and monitoring pipelines within your expertise
  
• Contribute to the ongoing innovation R&D projects by enabling production readiness
  
• Maintain and implement CI/CD pipelines, observability, and infrastructure for ML services
  

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• Degree in relevant field with 3+ years of industry experience
  
• Strong Technical Skills: Python, AWS, Docker, Terraform
  
• Experience deploying and maintaining machine learning models in production environments
  
• Familiarity with MLOps best practices: versioning, monitoring, model registries, CI/CD
  
• Excellent organisation skills, working independently and ability to deliver results for deadlines
  
• A proactive, innovative, pragmatic approach to problem-solving and an ability to think critically and objectively
  
• Good customer-facing skills and ability to communicate technical concepts to technical and non-technical audiences
  
• Experience in E-Commerce space
  

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• Competitive Salary
  
• Generous vacation time (25 days)
  
• Yearly "DG Recharge Week" in addition to annual leave allowance
  
• Freedom to experiment with your own ideas
  
• Environment to develop your skills without bureaucracy or red tape
  
• Monthly fitness stipend of $210 or fully paid Third Space Membership
  
• Ongoing subscription to Mental Health Support Platform
  

We are an equal-opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.