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Senior ML Engineer

PrimerUnited KingdomEngineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
24 Sept 2026
Status
Open · checked 7d ago

About this role

The Senior ML Engineer role at Primer is an exciting remote opportunity based in the United Kingdom. This position is ideal for an experienced machine learning professional looking to shape a brand-new function alongside a Staff Engineer in a rapidly growing infrastructure company.

Role Overview

As the first Senior Engineer in ML, the incumbent will partner with a Staff Engineer to build the machine learning foundations from scratch. Working closely with engineering, data, and product teams, this position involves discovering high-impact use cases across global payment flows. Reporting to engineering leadership, the professional will own the complete machine learning lifecycle, from research and development to deployment and production monitoring.

Key Responsibilities

Own the end-to-end lifecycle of machine learning features, taking initiatives from initial research and testing through to production training, deployment, and monitoring.
Productionize intelligent routing decisions across payment flows while constructing the necessary machine learning infrastructure for versioning, CI/CD, and observability.
Collaborate tightly with product, data, and engineering colleagues to convert promising use cases into measurable, shipped outcomes.
Apply a practical, impact-focused mindset to model evaluation and experimentation instead of blindly pursuing overly complex approaches.
Mentor fellow engineers as they learn machine learning techniques, sharing insights on tradeoffs and simplicity.
Engage directly with customers to validate ideas and pressure-test solutions against real-world usage.
Help establish technical direction, prioritize valuable use cases, and create reliable, repeatable machine learning practices at the company.

Requirements

Senior-level background in machine learning engineering, applied research, or data science, backed by verifiable production deployments via API, batch, or streaming.
Strong statistical mindset with the ability to design, execute, and interpret experiments and A/B tests.
Exceptional Python programming capabilities combined with hands-on experience utilizing machine learning libraries such as PyTorch, TensorFlow, scikit-learn, XGBoost, or Keras.
Solid foundation in modern software engineering, data tooling, infrastructure, and an understanding of MLOps challenges across the full machine learning lifecycle.
Familiarity with reinforcement learning concepts like contextual or multi-armed bandits and an understanding of their application areas.
Cloud computing experience, with AWS preferred, though GCP or Azure are also acceptable.
High comfort level with ambiguity in both processes and problems, able to independently research, develop, and productionize solutions.

Nice to Have

Prior exposure to the payments or e-commerce industries.

Skills and Tools

Python
PyTorch
TensorFlow
AWS
GCP
Azure
MLOps
Scikit-learn
XGBoost
Keras

Salary and Benefits

Fully remote work environment with global distribution
Competitive share options
Uncapped holiday policy with a mandatory minimum of 25 days taken annually
Access to co-working spaces in major cities
Workations and an annual company retreat
Premium equipment suited for the role
£500 financial support toward home office setup
Generous learning and development budget
Private Medical Insurance
A wide selection of additional location-dependent perks and benefits

About the Company

Primer provides global payment infrastructure, giving finance and payments teams visibility and control to reduce complexity, boost performance, and secure more revenue from a single platform. Backed by prominent investors such as Sofina, Peak XV Partners, ICONIQ, Tencent, Accel, and Balderton, the enterprise operates on a remote-first model established on day one. The organization fosters a collaborative, mission-driven culture dedicated to continuous support, thoughtful remote practices, and delivering exceptional value for merchants.

How to Apply

Interested candidates should apply directly on the official company careers page.

Skills and tech stack

PythonPyTorchTensorFlowAWSGCPAzureMLOpsReinforcement Learning

Questions candidates ask

Is this position fully remote?

Yes, the role is remote-first, and the company has operated with a globally distributed remote model since inception.

What qualifications are needed in Python and machine learning libraries?

Applicants need strong Python skills alongside practical experience with libraries such as PyTorch, TensorFlow, scikit-learn, XGBoost, or Keras.

Do I need prior experience in the payments industry to apply?

No, payments or e-commerce exposure is considered a plus rather than a strict prerequisite, as domain depth can be built on the job.

What kind of cloud platforms are required?

Cloud experience is required, with AWS preferred, though background in GCP or Azure is also acceptable.

What benefits are provided with this role?

Benefits include competitive share options, uncapped holiday with a 25-day minimum, a £500 home office setup allowance, private medical insurance, co-working space access, a learning budget, and workations.

Ready to apply?

The application is on the official Primer careers page.

Apply on company site