

Twine
ML Engineer (Remote Contract)
β - Featured Role | Apply direct with Data Freelance Hub
This role is a remote ML Engineer contract for over 6 months, offering a pay rate of "unknown." Key skills include machine learning in payments, proficiency in Python and ML frameworks, and experience with cloud platforms. A degree in Computer Science or related field is required.
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
Unknown
-
ποΈ - Date
November 18, 2025
π - Duration
More than 6 months
-
ποΈ - Location
Remote
-
π - Contract
Fixed Term
-
π - Security
Unknown
-
π - Location detailed
United Kingdom
-
π§ - Skills detailed
#AI (Artificial Intelligence) #Azure #Python #ML (Machine Learning) #A/B Testing #PyTorch #Cloud #Computer Science #GCP (Google Cloud Platform) #AWS (Amazon Web Services) #Scala #TensorFlow #Data Modeling
Role description
Join a dynamic project focused on developing a robust machine learning-driven payments retry system to enhance ECOM transaction success rates. This full-time contract role is fully remote, offering the opportunity to lead the design and implementation of advanced ML solutions for a critical business function. You will collaborate with cross-functional teams to architect, build, and deploy scalable models that directly impact payment reliability and customer experience.
Responsibilities
β’ Design, develop, and deploy machine learning models for payment retry optimization
β’ Analyze transaction data to identify failure patterns and inform model improvements
β’ Collaborate with engineering and product teams to integrate ML solutions into production systems
β’ Monitor model performance, conduct A/B testing, and iterate based on results
β’ Ensure solutions are scalable, secure, and compliant with industry standards
β’ Document processes, models, and system architecture for knowledge sharing
Skills And Requirements
β’ Proven experience in machine learning engineering, with a focus on payments or financial systems
β’ Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, or similar)
β’ Deep understanding of data modeling, feature engineering, and algorithm selection
β’ Experience with cloud platforms (AWS, GCP, or Azure) and deploying ML models in production
β’ Familiarity with payment processing systems, ECOM transaction flows, and retry logic
β’ Excellent problem-solving skills and ability to work independently in a remote environment
β’ Strong communication skills for cross-functional collaboration
β’ Bachelorβs or Masterβs degree in Computer Science, Engineering, or related field
About Twine
Twine is a leading freelance marketplace connecting top freelancers, consultants, and contractors with companies needing creative and tech expertise. Trusted by Fortune 500 companies and innovative startups alike, Twine enables companies to scale their teams globally.
Our Mission
Twine's mission is to empower creators and businesses to thrive in an AI-driven, freelance-first world.
Join a dynamic project focused on developing a robust machine learning-driven payments retry system to enhance ECOM transaction success rates. This full-time contract role is fully remote, offering the opportunity to lead the design and implementation of advanced ML solutions for a critical business function. You will collaborate with cross-functional teams to architect, build, and deploy scalable models that directly impact payment reliability and customer experience.
Responsibilities
β’ Design, develop, and deploy machine learning models for payment retry optimization
β’ Analyze transaction data to identify failure patterns and inform model improvements
β’ Collaborate with engineering and product teams to integrate ML solutions into production systems
β’ Monitor model performance, conduct A/B testing, and iterate based on results
β’ Ensure solutions are scalable, secure, and compliant with industry standards
β’ Document processes, models, and system architecture for knowledge sharing
Skills And Requirements
β’ Proven experience in machine learning engineering, with a focus on payments or financial systems
β’ Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, or similar)
β’ Deep understanding of data modeling, feature engineering, and algorithm selection
β’ Experience with cloud platforms (AWS, GCP, or Azure) and deploying ML models in production
β’ Familiarity with payment processing systems, ECOM transaction flows, and retry logic
β’ Excellent problem-solving skills and ability to work independently in a remote environment
β’ Strong communication skills for cross-functional collaboration
β’ Bachelorβs or Masterβs degree in Computer Science, Engineering, or related field
About Twine
Twine is a leading freelance marketplace connecting top freelancers, consultants, and contractors with companies needing creative and tech expertise. Trusted by Fortune 500 companies and innovative startups alike, Twine enables companies to scale their teams globally.
Our Mission
Twine's mission is to empower creators and businesses to thrive in an AI-driven, freelance-first world.



