Senior ML Software Engineer

Worldpay; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Worldpay is seeking a Senior ML Software Engineer to join the Data Science Enablement team in a pivotal role. You will own ML product development, deliver features, and ensure reliable production systems while collaborating with ML researchers, product managers and platform engineers.

You will lead end-to-end technical stewardship, contribute to the ML platform, and drive CI/CD, monitoring, and pre-release processes with a strong ownership mindset.

Qualifications

• 5+ years as an ML-focused software engineer or similar role with production experience.
• Strong Python and ML library proficiency; API design experience.
• Experience deploying ML models to production and integrating with services.

Responsibilities

• Design, implement and deploy features for ML products with cross-functional teams.
• Own production ML products end-to-end; ensure reliability and performance.
• Contribute to evolution of the shared ML platform and tooling.

Skills

Python

ML deployment

APIs

AWS

Containerization

CI/CD

OpenAPI/FastAPI

Monitoring

Real-time data

Tools

Docker

Kubernetes

Databricks

MLFlow

Terraform Cloud

DynamoDB

Job description

Ready to take your career global?

Make your mark at one of the biggest names in payments.

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 job 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

• Technical ownership of existing and new production ML products in your area, ensuring alignment of technical investments with business goals (in collaboration with a product owner) and engineering best practices.
• End-to-end technical stewardship of ML products, ensuring ongoing 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, ensuring high operational standards.
• 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, 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 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, consistently prioritizing 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 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 both within engineering organizations and on cross-functional teams
• Experience with OpenAPI, FastAPI, or similar
  
  

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
• 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 in large companies, mature engineering teams, and/or highly regulated industries
• AI-assisted coding experience (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. 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.