Location
London

Hours
Full Time

Salary
Negotiable

About the Role
Ready to take your career global? Make your mark at one of the biggest names in payments. We are seeking an experienced Senior ML Software Engineer to join our Data Science Enablement team. You will be the primary software engineering expert for a product area, working as part of a cross-functional agile team and owning the successful launches and ongoing operations of high-profile products in production. Your focus will be on driving new feature delivery, maintaining operational excellence, and collaborating on enhancements to our shared ML platform. You will work closely with cross-functional collaborators—including ML research engineers, product managers, and platform engineers—to deliver scalable, reliable, and low-latency ML solutions. In addition to technical expertise, this role requires strong collaboration skills.

Key Responsibilities
Feature Development & Delivery: Design, implement, and deploy new features and enhancements to ML products, collaborating with Product and ML Research teams to refine requirements.
Technical Ownership and Stewardship: Own existing and new production ML products in your area, ensuring alignment of technical investments with business goals and engineering best practices. Provide end-to-end technical stewardship to ensure ongoing reliability and performance.
Contribute to ML Platform: Collaborate with other engineers to evolve the shared ML platform, driving best practices and shared tooling across all products.
Operational Excellence: Maintain and improve automated CI/CD pipelines, testing frameworks, and monitoring/logging to uphold high operational standards. Conduct comprehensive code reviews to enforce coding standards, improve quality, and share knowledge.
Continuous Improvement: Identify and implement opportunities for process, tooling, and system improvements, proactively addressing technical debt and scaling challenges.
Release Management: Oversee pre-release testing, coordinate releases, and ensure smooth enablement of new features.
Leadership: Provide technical guidance and support to engineers and data scientists, mentor and coach team members, and foster a culture of collaboration, continuous improvement, and knowledge sharing.
Act Like an Owner: Proactively identify and resolve blockers, navigate processes, and independently seek information and connections to drive solutions. Operate with urgency, prioritizing and executing tasks to meet timelines and deliver results.

Why Join Us?
Impact: Play a key role as the technical owner of high-profile ML products delivering meaningful business impact to merchants and advancing key pillars of the company’s strategy. Your work will directly influence the reliability, scalability, and evolution of critical production systems.
Autonomy: Take end-to-end technical ownership of your product area, with the freedom and responsibility to drive technical solutions, shape best practices, and deliver results in a fast-paced, supportive environment.
Collaboration: Join a cross-functional, high-performing team where your expertise is valued and your contributions make a real difference.
About the Team: Our inclusive and global teams win together every day. We’re proud to have the best minds in the industry, whom you can learn from as you grow your career. The people, the energy, and the connections are unmatched. Come and be part of an ever-evolving company and get dynamic opportunities that transcend borders.
What Makes a Globalpayer? Globalpayers think like a client, act like an owner, and win as one team. We’re curious and innovative – always finding better ways to deliver impact. We empower each other to make decisions, and our passion drives excellence in everything we set out to do. Does this sound like you? Then you sound like a Globalpayer. Apply now to take your career global.

Experience
5+ years as an ML-focused software engineer, ML Engineer, MLOps Engineer, or similar, with hands-on production experience.
Proven expertise with ML model deployment, API design, and integration into production environments.
Strong Python programming skills and experience with relevant ML/data libraries.
Experience with containerization, orchestration, and AWS cloud services.
Building and operating CI/CD pipelines.
Monitoring, troubleshooting, and optimizing production ML systems.
Pre-release testing and release management.
Demonstrated ability to work independently, navigate ambiguity, and deliver results.
Excellent communication skills and ability to collaborate within engineering organizations and cross-functional teams.
Experience with OpenAPI, FastAPI, or similar.

About You
Self-motivated and proactive with a strong sense of ownership.
Collaborative team player who fosters knowledge sharing and continuous improvement.
Comfortable working in a fast-paced, dynamic environment.
Strong problem-solving skills and ability to mentor others.

Qualifications
It’s a bonus if you have experience with MLFlow, model versioning, and storage.
Familiarity with Databricks or similar platforms.
Experience supporting high-volume, real-time data products.
Knowledge of automated testing and validation frameworks.
Experience designing and configuring low-latency databases to serve real-time features, such as DynamoDB.
Experience with Terraform Cloud.
Experience working in large companies, mature engineering teams, and/or highly regulated industries.
AI-assisted coding experience (e.g. GitHub Copilot).