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.