ML-Driven Fintech Data Engineer (Hybrid London)

ApTap; Greater London; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

ApTap in London is seeking a Data Engineer to join our growing data team. You’ll build and deploy ML models, implement AI capabilities across our product stack, and support partners with optimisation projects.

This role offers hybrid work and opportunities to own greenfield AI/ML initiatives, influencing fintech challenges with cutting-edge tools.

You should have 2+ years in data or ML engineering, strong Python/SQL, and experience with cloud platforms (AWS/GCP/Azure).

Qualifications

• 2+ years of experience in data engineering or ML engineering.
• Strong Python and SQL skills.
• Experience with cloud platforms (AWS, GCP or Azure).
• Experience deploying ML models and modern data stacks.
• Interest in applying AI tools across product areas.

Responsibilities

• Design, build, and maintain scalable data pipelines and infrastructure.
• Develop and deploy machine learning models into production.
• Collaborate with data science, product, partnerships, and client teams on optimisation.
• Research and integrate new AI/ML frameworks into the product.
• Ensure data quality, integrity, and performance at scale.

Skills

Python

SQL

Cloud platforms

ML deployment

Data modelling

Education

Bachelor's degree in data engineering or related field

Tools

AWS

GCP

Azure

Job description

ApTap in London is seeking a Data Engineer to join our growing data team. You’ll build and deploy ML models, implement AI capabilities across our product stack, and support partners with optimisation projects.

This role offers hybrid work and opportunities to own greenfield AI/ML initiatives, influencing fintech challenges with cutting-edge tools.

You should have 2+ years in data or ML engineering, strong Python/SQL, and experience with cloud platforms (AWS/GCP/Azure).