MLOps Engineer

About us:
At Protex AI, we are at the forefront of AI-driven computer vision, building a safer, smarter industrial workplace with an intelligent operating system that redefines how facilities operate. Backed by top-tier global investors, we recently secured a $36 million Series B to accelerate our mission.
Industry leaders like DHL, Amazon, and Tesla trust Protex AI to drive measurable safety improvements, achieving an average 64% risk reduction within just three months of deployment. Operating in 20+ countries, Protex is the go-to safety partner for Fortune 500 manufacturing and logistics enterprises, transforming workplace safety with real-time, AI-powered insights.

What You'll Do
As an MLOps Engineer, you’ll design, scale, and optimise our computer vision pipelines to serve thousands of clients. You’ll own the infrastructure that powers our ML models in production. Automating workflows, improving observability, and ensuring reliable, cost-efficient deployment at scale.

What You’ll Need

• 3–5+ years of experience in DevOps, MLOps, or ML engineering roles
• Experience automating ML workflows using CI/CD pipelines (e.g., Github actions, GitLab CI, Jenkins, AWS CodePipeline)
• Strong coding skills in Python and experience writing unit and integration tests for ML pipelines
• Hands-on experience with containerisation (Docker) and AWS infrastructure (ECS, S3, AWS Batch)
• Familiarity with infrastructure-as-code (e.g., Terraform or CloudFormation)
• Experience building observability systems for ML (metrics, logs, model performance tracking)
• Understanding of model versioning, reproducibility, and testing best practices
• Awareness of cloud cost optimisation practices (e.g., spot instances, autoscaling)
• Experience supporting a production ML environment and collaborating across cross-functional teams

Nice To Have

• Experience with ML lifecycle tools (e.g., Weights & Biases, Voxel 51)
• Familiarity with data validation frameworks (e.g., Great Expectations)
• Exposure to real-time monitoring tools (e.g., Prometheus, Grafana, OpenTelemetry)

Protex AI is an inclusive and equal opportunities employer. We are committed to creating an equitable workplace for everyone regardless of gender, civil status, family status, sexual orientation, religion, age, disability, education level, or race.