Senior MLOps Engineer deploying ML - powered applications at Allica Bank. Building, prototyping, and ensuring the reliability of AI tools for SMEs.
About the role
- Machine Learning Engineer at Iterable designing and maintaining ML infrastructure for AI-powered customer engagement. Leading end-to-end development of ML pipelines for high-scale enterprise customers.
Responsibilities
- Lead the end-to-end development of ML pipelines, from prototyping and experimentation through to production deployment, enabling AI-powered features at scale.
- Design, build, and maintain the core infrastructure that powers our ML services (e.g., Databricks, AWS, Ray, Kubernetes).
- Develop robust observability and experimentation frameworks to ensure reliable model deployment, monitoring, and continuous iteration.
- Partner closely with Data Science teams, treating the ML Platform as a product—removing infrastructure bottlenecks and empowering them to deliver high-quality models efficiently and confidently.
Requirements
- 3+ years of experience in backend and/or infrastructure engineering.
- Strong experience with infrastructure-as-code practices (e.g., Pulumi, Terraform, CloudFormation).
- Experience working with service-oriented architectures and integrating ML services into high-scale backend systems.
Benefits
- Competitive salaries & meaningful equity
- Private Medical Insurance
- Life/Risk Assurance
- Meal Allowance: 8.55€ per day
- Community Days (days for us to give back to the community)
- Paid Annual Leave (22 days)
- Global Lifestyle Reimbursement Account
- Paid Sabbatical
- Complete laptop workstation
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Intermediate AI/ML Engineer designing and deploying machine learning solutions for video security. Join Solink to transform video security into real - time operational insights in a hybrid work environment.
Senior Machine Learning Engineer for Toyota Connected developing state - of - the - art solutions for in - vehicle Voice Assistants. Collaborating with teams and mentoring junior members to drive innovation in machine learning technology.
MLOps Engineer leading large - scale model deployments and managing CI/CD pipelines in GCP ecosystem. Focus on operational excellence and implementing observability frameworks for AI systems.
Senior Machine Learning Engineer designing AI systems for multi - scale physical technologies at Orbital. Leading high - risk projects with a focus on AI research and engineering excellence.
Machine Learning Engineer at Auror, using data science to reduce retail crime through innovative ML systems. Collaborate with product teams and develop impactful solutions leveraging real - time data.
Master Thesis focusing on developing machine learning models for lithium - ion cell sorting at Fraunhofer LBF. Involvement in innovative projects addressing circular economy in battery recycling.
Machine Learning Engineer designing and implementing AI systems focused on Japanese language challenges at Woven by Toyota. Involves technical R&D, system design, and collaboration with cross - functional teams.
Principal Software Engineer leading MLOps within Analytics Platform at Sun Life. Focused on AWS and machine learning operations, collaborating across technical and business teams.
Machine Learning Engineer designing and optimizing deep learning models for safety - critical environments at Destinus. Shaping the future of high - speed, autonomous flight technologies.