Machine Learning Engineer

ML Ops / Model Deployment Engineer – Research Function

Manchester (2 days a week in City Centre)

We’re supporting the build of a new research function within a Manchester fintech that is developing a simulated digital twin allowing the team to experiment, optimise, and solve genuinely complex commercial problems in a controlled environment. 

We recently placed the Lead Research Data Scientist, who as well as being a great guy, is a highly capable, exceptional and thoughtful leader. We’re now helping to build the team around them.

ML Ops / Model Deployment (CI/CD, Scaling, Robustness)

As the ML Ops Engineer, you’ll focus on operationalising research models—building the systems, pipelines and tooling that take experimental work and make it stable, scalable and production-ready.

Key Responsibilities

CI/CD for machine learning models.
Automating testing, validation, packaging and deployment.
Building scalable, reliable pipelines for research prototypes.
Managing model registries, monitoring, versioning and observability.
Supporting integration of research models into wider engineering systems.
Ensuring reproducibility and robustness across the model lifecycle.

Ideal Profile

Experience in ML Ops or production ML engineering.
Strong CI/CD tooling (GitHub Actions, GitLab CI, Azure DevOps).
Docker/Kubernetes and modern deployment frameworks (MLflow, Seldon, BentoML etc).
Strong Python skills.
Cloud experience.
Bonus: experience with Bayesian / simulation-led modelling.

Why this stands out

1??Research-first, not reporting.

2??Complex, multi-variable and commercially meaningful problems.

3??Warm, curious, collaborative and sharp culture.

4??Everyone we’ve placed here loves it — which says everything!

Mirai believes in the power of diversity and the importance of an inclusive culture. It welcomes applications from individuals of all backgrounds, understanding that a range of perspectives strengthens both its team and its partners’ teams. This is just one of the ways they’re taking positive action to shape a collaborative and diverse future in the workplace.