At a Glance
- Tasks: Develop and deliver innovative ML features while collaborating with cross-functional teams.
- Company: Join Global Payments, a leader in the future of commerce.
- Benefits: Competitive salary, bonuses, wellness week, and family support.
- Other info: Be part of an inclusive team that values collaboration and continuous growth.
- Why this job: Make a real impact on high-profile ML products and drive meaningful business outcomes.
- Qualifications: 5+ years in ML software engineering with strong Python and production experience.
The predicted salary is between 60000 - 80000 £ per year.
You’re in the right place. Global Payments, including Worldpay, is powering the future of commerce. Ready to take your career global with us?
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.
- 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 Open API, Fast API, or similar
- It’s a bonus if you have
- Experience with MLFlow, model versioning, and storage
- Familiarity with Databricks or similar platforms
- Automated testing and validation frameworks
- Experience designing and configuring low‑latency databases to serve real‑time features, such as Dynamo DB
- Experience with Terraform Cloud
- Experience in large companies, mature engineering teams, and/or highly regulated industries
- AI‑assisted coding experience (e. g., Git Hub 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.
My Health
We offer access to medical coverage that supports the health and wellbeing for you and your family.
My Money
In addition to base salary, you may be eligible for bonuses and/or equity awards, determined by role, level, impact, and our policies.
My Lifestyle
We have a dedicated Wellness Week each year – which includes an extra paid day off - so you can take time to relax, recharge and invest in your wellbeing.
My Family
FLEX, our family inclusion community, offers support for all Globalpayers at every stage, from raising families to caring for loved ones.
My Time Off
We offer paid time off and public holidays so you can rest, recharge and spend time on what matters most.
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StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Software Engineer in London
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Greater Giving, Inc..
✨Tap into Online Developer Communities
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✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace Senior ML Software Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Greater Giving, Inc..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Greater Giving, Inc. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Greater Giving, Inc.
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Greater Giving, Inc. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.