Lead AI/ML Feature Engineer, Mastercard

Salary not provided

SQL

Docker

Kubernetes

Python

Scala

Java

Spark

NumPy

Pandas

Senior and Expert level

London

Office located in Angel Lane, London

Global payments technology company

Be an early applicant

Global payments technology company

1001+ employees

FintechB2CB2BBankingPaymentsCredit cards

Be an early applicant

Salary not provided

SQL

Docker

Kubernetes

Python

Scala

Java

Spark

NumPy

Pandas

Senior and Expert level

London

Office located in Angel Lane, London

1001+ employees

FintechB2CB2BBankingPaymentsCredit cards

Company mission

To connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible.

Job

Company

Role

Who you are

Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative field
Experience: Minimum of 8+ years of experience in AI/ML feature engineering, data engineering, or a related field, with a strong focus on building and deploying AI/ML feature pipelines in production
Proficiency in programming languages such as Python, Scala, or Java
Extensive experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, Spark)
Hands-on experience with any of the cloud platforms
Strong background in SQL and NoSQL databases
Experience with big data technologies
Familiarity with MLOps practices and tools (e.g., Docker, Kubernetes, CI/CD for ML)
Exceptional analytical and problem-solving skills, with the ability to translate complex business challenges into technical solutions
Excellent communication and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders
Proven ability to work effectively in cross-functional teams and drive projects to successful completion
A strong passion for innovation and a track record of exploring and adopting new technologies and methodologies in the AI/ML space

What the job involves

Lead AI/ML Feature Engineer
As a Lead AI/ML Feature Engineer, you will be at the forefront of designing, developing, and deploying cutting-edge machine learning features that drive core business value for Mastercard. You will leverage your deep technical expertise to build sophisticated data pipelines and engineer impactful features, directly influencing our products and strategies
Design, develop, and implement advanced features from raw data for various machine learning models, ensuring their relevance, robustness, and scalability
Build and optimize efficient and reliable data pipelines to support the ingestion, transformation, and delivery of data for AI/ML applications
Provide technical guidance and mentorship to other junior engineers
Work closely with AI engineers, product managers, and other engineering teams to understand requirements, translate business problems into technical solutions, and integrate AI/ML features into production systems
Support the deployment, monitoring, and maintenance of AI/ML features in production environments
Implement robust testing and validation processes to ensure the quality, accuracy, and reliability of engineered features and AI/ML data pipelines

Application process

End Date: September 5, 2025

Salary benchmarks

Our take

Mastercard is in the global payments business, and operates the world's fastest payments processing network. Its products and solutions have become central to everyday commerce across the world, in activities ranging from shopping and travelling to running businesses.

As the economy has become more and more digitised, Mastercard has been a leading player in helping businesses and individuals across the globe embrace card payments and digital banking. One of the world's largest companies, its revenue has seen consistent gain in the last 20 years.

The challenge for modern payments companies is that payments are always changing, as seen in the astronomical rise of contactless payments over the last decade. Mastercard's acquisition of blockchain systems, and an overall focus on leveraging its technology towards a digital economy, has placed the company in good stead to keep up to date with current trends, like cryptocurrency, in the digitised payments world.

Steph

Company Specialist at Welcome to the Jungle

Insights

21% employee growth in 12 months

Glassdoor (4.3)

Company

Company benefits

Gym membership
Share purchase options
Extra holiday purchase optional
Work from home opportunities
Health insurance
Pension plan
25 days holiday (excl. bank holidays)

Company HQ

Purchase, Harrison, NY

Leadership

Michael Miebach

(CEO, not founder)

Has served in a variety of roles at the company, including President and CPO. Currently Board Member at IBM, Accion, the World Resources Institute, the US-India Strategic Partnership Forum, and the Metropolitan Opera. They are also a Trustee of USCIB.

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