Machine Learning Engineer (MLOps)

TL;DR

Machine Learning Engineer (MLOps): Building and maintaining the infrastructure to acquire data, deploy, and monitor ML models across Azure and GCP with an accent on API development and MLOps lifecycles. Focus on bridging the gap between model development and production deployment through scalable, production-grade engineering.

Location: York, UK

Company

hirify.global is a diversified international insurance group listed on the London Stock Exchange, providing confidence to people and businesses to realize their ambitions.

What you will do

• Develop and maintain infrastructure for deploying ML models in both real-time and batch environments.
• Build and maintain Python APIs using Flask or FastAPI to serve ML models.
• Design and implement CI/CD pipelines for ML model deployment and monitoring.
• Collaborate with Data Scientists and Platform Engineers to integrate ML services into user-facing applications.
• Manage the model registry, tracking discontinuation upgrades and model monitoring.
• Own the deployment framework and oversee data flow from the wider business data warehouse into the data science lifecycle.

Requirements

• Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering).
• 3-5 years of experience as an ML Engineer.
• Proficiency in Python development, including OOP, unit testing, and frameworks like Flask or FastAPI.
• Hands-on experience deploying, monitoring, and maintaining ML models (Neural networks, Random forests) in production.
• Experience with Infrastructure as Code (IaC) tools like Terraform and cloud platforms (GCP, AWS, or Azure).
• Knowledge of Docker containerization, orchestration, and Git-based CI/CD workflows.

Nice to have

• Experience working within financial services or the insurance industry.

Culture & Benefits

• Opportunity to join a newly formed ML Engineering team within the Enterprise Technology division.
• Collaborative Agile environment focusing on iterative development and cross-discipline cooperation.
• Permanent full-time employment with a strong, diversified international brand.
• A culture based on courage, integrity, ownership, and inclusivity.