At a Glance
- Tasks: Design and deploy cutting-edge ML features while collaborating with a dynamic team.
- Company: Join a leading global payments company with a focus on innovation.
- Benefits: Enjoy competitive pay, autonomy, and opportunities for professional growth.
- Other info: Be part of an inclusive team that values collaboration and continuous improvement.
- Why this job: Make a real impact on high-profile ML products that drive business success.
- Qualifications: 5+ years in ML software engineering with strong Python and cloud experience.
The predicted salary is between 70000 - 90000 £ per year.
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.
What you’ll own
- 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 in collaboration with a product owner, and applying engineering best practices. End-to-end technical stewardship of ML products to ensure reliability and performance.
- Contribute to ML platform: Contribute to the evolution of the shared ML platform alongside other engineers to drive 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.
- Code quality: Conduct comprehensive code reviews to enforce coding standards, improve code quality, and share knowledge.
- Continuous Improvement: Identify and implement opportunities for process, tooling, and system improvements, pro-actively 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 other engineers and data scientists to solve complex technical challenges. Mentor and coach other engineers, supporting their professional growth. Foster a culture of collaboration, continuous improvement, and knowledge sharing.
- Act Like an Owner: Proactively identify and resolve blockers, navigate processes, and independently seek out information and connect with relevant teams to drive solutions in the face of ambiguity. Operate with a strong sense of urgency, prioritising and executing tasks to meet timelines and deliver results.
What you’ll bring
- 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 and relevant ML/data libraries.
- Experience with containerization, orchestration, and AWS cloud services.
- Building and operating CI/CD pipelines; monitoring, troubleshooting, and optimising 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 teams and cross-functional partners.
- Experience with OpenAPI, FastAPI, or similar.
- Bonus: Experience with MLFlow, model versioning, and storage; familiarity with Databricks or similar platforms; experience supporting high-volume, real-time data products; automated testing and validation frameworks; experience designing and configuring low-latency databases for real-time features (e.g., DynamoDB); experience with Terraform Cloud; AI-assisted coding tools (e.g., GitHub Copilot).
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.
- 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 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.
