Senior MLOps Engineer

trg.; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

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.

Qualifications

• Strong Python engineering background with hands-on experience in FastAPI, Flask, or Django.
• Proven track record of deploying and monitoring ML models in production environments.
• Experiment tracking and model versioning experience (MLflow/Weights & Biases).
• Background in startups or scaleups where you've had real ownership and worked in lean teams.

Skills

Python

ML deployment

Production monitoring

Lean startup experience

Tools

FastAPI

Flask

Django

MLflow

Weights & Biases

Prometheus

Grafana

ELK

Job description

We're working with a fast-growing AI Engineering team based in London on a Senior MLOps Engineer hire. The team has a genuine startup culture, small, focused, high ownership, backed by the scale and resources of a major global organisation. They build AI-driven technology that has measurable real-world impact on how large-scale infrastructure is designed and built.

What you'll need

• Strong Python engineering background with hands-on experience in FastAPI, Flask, or Django
• Proven track record of deploying and monitoring ML models in production environments
• Experiment tracking and model versioning experience (MLflow/Weights & Biases)
• A background in startups or scaleups where you've had real ownership and worked in lean teams

Nice to have

• Observability tooling such as Prometheus, Grafana, or ELK