We're looking for a Project Manager (MLOps) to lead the delivery of enterprise AI and MLOps initiatives that support cloud-native, production-scale machine learning platforms. This role combines technical leadership, project delivery, and people management, working closely with Data Scientists, MLOps Engineers, Software Engineers, and business stakeholders.
Responsibilities
- Lead the planning and delivery of AI, MLOps, and cloud transformation projects.
- Drive the design, deployment, and optimisation of scalable MLOps platforms and ML pipelines.
- Establish MLOps and DevOps best practices, including CI/CD, automation, monitoring, and cloud-native deployment.
- Manage cross-functional teams, vendors, and stakeholders to ensure successful project delivery.
- Mentor and lead Data Scientists and engineering teams while promoting Agile ways of working.
Requirements
- 6+ years of experience in MLOps, AI, Cloud, or DevOps, with experience delivering enterprise-scale ML solutions.
- Hands-on experience with Kubernetes, Docker/Containers, AWS, CI/CD, GitLab/GitHub, and cloud-native architectures.
- Strong understanding of production ML pipelines, model deployment, infrastructure automation, and platform engineering.
- At least 2 years of people management experience leading technical or AI engineering teams.
- Experience delivering AI or MLOps solutions in manufacturing, Industrial IoT (IIoT), or smart factory environments is highly preferred.
Bonus Points
- Experience with LLMs, NLP, Prompt Engineering, or Agentic AI.
- Exposure to PostgreSQL, InfluxDB, OpenShift, VMware, OpenStack, or CaaS.
- AWS, Kubernetes (CKA), or DevOps certifications.
