Machine Learning Ops Engineer (London)
New Yesterday
Description
DigitalGenius (DG) is a venture-backed artificial intelligence company bringing practical applications of deep learning and AI to some of the largest E-Commerce customer service operations in the world as well as high-growth companies. We're a dedicated team of thoughtful and hard-working people committed to transforming customer service through the application of artificial intelligence.Description
DigitalGenius (DG) is a venture-backed artificial intelligence company bringing practical applications of deep learning and AI to some of the largest E-Commerce customer service operations in the world as well as high-growth companies. We're a dedicated team of thoughtful and hard-working people committed to transforming customer service through the application of artificial intelligence. Role 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 searching 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. Responsibilities- 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
- 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
- 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
- On going subscription to Mental Health Support Platform
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
ResearchIndustries
IT Services and IT Consulting
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#J-18808-Ljbffr- Location:
- London
- Job Type:
- FullTime