Senior ML Engineer

IndiaRemoteFull-timesenior

Machine Learning EngineerData

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Quick Summary

Requirements Summary

Help prioritize promising use cases, influence engineering decisions, and establish repeatable patterns and practices for future ML initiatives.

Technical Tools

Machine Learning EngineerData

Join an innovative engineering team building next-generation infrastructure for global payments, helping businesses simplify payment operations and improve transaction performance. As a Senior ML Engineer, you will be among the first specialists shaping the organization's machine learning capabilities, working closely with experienced engineers and cross-functional partners to turn promising ideas into production-ready solutions. You will own the full machine learning lifecycle, from researching approaches and evaluating models to deployment, monitoring, and continuous improvement. Your work will help optimize payment routing decisions, improve operational efficiency, and deliver measurable business outcomes. This remote-first opportunity offers significant technical ownership, room to experiment, and the chance to establish reliable machine learning practices in an evolving environment. You will also mentor colleagues, influence technical direction, and help identify where machine learning can create the greatest impact.

You will lead the development and productionization of machine learning solutions, collaborating with engineering, product, and data teams to deliver reliable, measurable improvements across payment workflows.

Responsibilities

~1 min read

You are an experienced machine learning professional with strong software engineering foundations, statistical thinking, and the ability to independently bring models into production. You are comfortable working in an evolving environment where priorities and processes are still taking shape.

Requirements

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Fully remote work environment with a globally distributed team.
Competitive share options.
Flexible annual leave, with a minimum of 25 days to be taken.
Access to coworking spaces across major cities.
Company workations and an annual company retreat.
High-quality equipment suited to your role.
£500 contribution toward your home office setup.
Generous learning and professional development budget.
Private medical insurance.
Additional location-dependent perks and benefits.
Supportive onboarding and a collaborative environment that encourages technical ownership, experimentation, and professional growth.
An inclusive workplace that values diverse backgrounds and encourages candidates to apply even if they do not meet every listed requirement.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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