Senior Platform Engineer (Machine Learning)

TL;DR

Senior Platform Engineer (Machine Learning): Designing, building, and maintaining infrastructure and tools to enable teams to train, evaluate, deploy, and serve machine learning models at scale. Focus on building scalable ML platforms, cloud infrastructure, and automation to support ML workflows.

Location: Remote within the UK or London office, relocation to the UK supported with visa sponsorship.

Salary: £95,000 - £130,000 + stock options

Company

hirify.global is a UK-based fintech company focused on simplifying banking and financial services with innovative products and customer-centric solutions.

What you will do

• Design, build, and maintain ML platform infrastructure and tools to support ML teams.
• Collaborate with ML teams to identify needs and develop simple, effective solutions.
• Work with cloud platforms including AWS and Google Cloud to run ML workloads.
• Develop and operate platform services using Go and Kubernetes.
• Automate processes to improve platform reliability and developer experience.
• Investigate and resolve system issues with a focus on backend and platform engineering.

Requirements

• Location: Must be based in the UK or willing to relocate (visa sponsorship available).
• Experience with AWS and/or GCP cloud platforms.
• Hands-on experience building ML pipelines and supporting platforms.
• Experience with Kubernetes and backend development, preferably with strongly typed languages like Go.
• Comfortable working in ambiguous environments and solving problems through automation.
• Good English proficiency (B2 or higher).

Nice to have

• Experience with service mesh technologies.
• Familiarity with Terraform for cloud resource management.

Culture & Benefits

• Flexible working hours and remote work within the UK.
• Relocation support and visa sponsorship for UK.
• Learning budget of £1,000 per year for training and conferences.
• Supportive and inclusive work environment valuing diversity.
• Regular team meetups and social events in London office.

Hiring process

• Initial call.
• Take-home task or pair coding exercise.
• Final interview including system design and behavioral interview.