Staff MLOps Engineer (Fintech)

TL;DR

Staff MLOps Engineer (MLOps/AWS): Defining and building an Enterprise MLOps platform to unify training, deployment, monitoring, and governance for internal ML teams with an accent on scalability and regulatory compliance. Focus on designing high-performance serving infrastructure, optimizing GPU orchestration, and establishing rigorous model risk management frameworks.

Location: Hybrid (London, United Kingdom)

Company

hirify.global is a leading blockchain analytics company specializing in financial crime prevention and regulatory compliance.

What you will do

• Define target-state MLOps architecture and produce architecture decision records (ADRs).
• Conduct build-vs-buy evaluations for vendors, open-source tools, and managed services within an AWS and Databricks ecosystem.
• Collaborate with InfoSec to enhance the model registry and risk management framework to close gaps in lineage and drift detection.
• Build production-grade training pipelines, CI/CD for ML, and serving infrastructure.
• Implement end-to-end observability for the ML lifecycle, including training metrics and prediction drift.
• Onboard data scientists and ML engineers through comprehensive documentation and reference architectures.

Requirements

• Proven experience building MLOps platforms or ML infrastructure from the ground up.
• Experience operating in a regulated industry such as fintech, financial services, or healthcare.
• Deep hands-on experience with AWS (ECS/EKS, S3, IAM) and Databricks.
• Strong knowledge of model serving patterns, including real-time inference and batch prediction.
• Ability to write production-grade, tested, and observable code.
• Must be based in or able to commute to London for hybrid work.

Nice to have

• Fluency in Infrastructure-as-Code (Terraform).
• Experience with ClickHouse or similar OLAP engines for low-latency serving.
• Domain knowledge in Blockchain, Crypto, or fraud detection.
• Contributions to open-source MLOps tooling.

Culture & Benefits

• Hybrid work model with a £500 remote working budget for home office setup.
• $1,000 annual Learning & Development budget for professional growth.
• 25 days annual leave plus bank holidays and an additional day for your birthday.
• Private Health Insurance (Vitality) and mental health support via Spill.
• Enhanced parental leave providing 16 weeks of fully-paid leave.
• Life assurance (4x salary) and a cycle-to-work scheme.