At a Glance
- Tasks: Deploy and monitor ML models while building reliable production pipelines.
- Company: Join a fast-growing AI Engineering team in London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic startup culture with a focus on innovation and collaboration.
- Why this job: Take ownership of the ML lifecycle and work with cutting-edge AI technologies.
- Qualifications: Experience in Python and familiarity with ML tools like MLflow or Weights & Biases.
trg. in London is looking for a Senior MLOps Engineer to join a fast-growing AI Engineering team. You will help deploy and monitor ML models, build reliable production pipelines, and take ownership of end-to-end ML lifecycle in a lean startup culture.
You will code in Python with FastAPI/Flask/Django, manage experiment tracking with MLflow or Weights & Biases, and apply observability tools like Prometheus and Grafana to scale infrastructure and ensure reliability for large-scale deployments.
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Senior MLOps Engineer — Own AI Deployment (London) employer: trg.
As a Lead Data Engineer at our innovative AI startup in London, you'll be at the forefront of building cutting-edge data architecture from scratch, with direct access to the founders and significant influence over the product roadmap. We foster a dynamic work culture that values creativity and ownership, offering meaningful equity and the opportunity to shape the future of a disruptive technology in a rapidly evolving market. Join us for a rewarding career where your contributions will directly impact our success and growth.
