- Pay
- CA$59–85k
- Where
- Vancouver, British Columbia, GB · GB · Remote · Remote
- Level
- Mid
Step into this MLOps Engineer role and build something that matters in AI & Technology.
Machine learning models are easy to build and hard to run well.
This startup has grown past the point where manual deployments and ad hoc monitoring hold up, and it needs an MLOps Engineer who can turn research code into systems that stay up at 3am without anyone noticing.
The AI & Technology sector moves fast, and this team is building the pipes that let it move faster still.
Here's what you'll be doing: Design and maintain CI/CD pipelines that take models from notebook to production without drama Build and monitor training and inference infrastructure, catching failures before users do Automate model versioning, deployment and rollback so releases stop being a stressful event Work directly with data scientists to package their models properly, not as an afterthought Set up logging, alerting and observability across the ML stack Manage cloud infrastructure and keep an eye on cost as usage scales Here are the skills you'll need: Solid experience with Python and at least one major cloud platform (AWS, GCP or Azure) Hands-on knowledge of containerisation and orchestration (Docker, Kubernetes) Familiarity with ML pipeline tools such as MLflow, Kubeflow or similar Comfort working in a small team where priorities shift and job titles blur Good instincts for what breaks in production, and the patience to fix it properly Clear communication.
You'll be explaining infrastructure decisions to people who don't live in YAML files Key perks and benefits: C$58,500 to C$85,000, depending on experience Fully remote working, with flexible hours built around how you actually work best Equity in the business.
Real stock options, not a token gesture A learning and development budget to keep your skills ahead of the curve A flat structure where your ideas reach decision-makers directly, no layers in between Why pursue a career in AI & Technology?
AI & Technology is one of the few sectors where demand for strong MLOps skills consistently outpaces supply.
Vancouver has become a genuine hub for this kind of work, with a growing cluster of AI startups and the talent to match.
Get good at this now, and the career options only widen from here.
This MLOps Engineer opportunity is brought to you by The Opportunity Hub UK.