Machine Learning Platform Engineer (Research-Focused) | Technology-Driven Quantitative Trading Firm at Techfellow Limited

• Job Location New York, United States
• Seniority Mid-Senior Level
• Type Full-time

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Description

[Up to c.

$450k Comp Package | Office-Led Working] Role Overview We’re partnering with a top-tier, technology-led trading firm where machine learning plays a central role in decision-making and execution.

This hire will sit within a highly specialised ML group, contributing to the design and evolution of the firm’s research and production ML ecosystem.

This is a hands-on engineering role operating close to research.

You’ll help build the systems, tooling, and infrastructure that enable rapid experimentation and efficient deployment of models - while also contributing to how machine learning is applied across a fast-moving, data-rich environment...

Key Responsibilities Design and develop infrastructure supporting model training, evaluation, and production deployment Improve research workflows to accelerate iteration speed and feedback loops for ML experimentation Build clean, scalable tooling and APIs that make ML systems intuitive and efficient to use Collaborate with researchers to translate theoretical models into robust, production-ready solutions Evaluate and apply a broad range of modelling techniques depending on the problem space Maintain high-quality, reproducible research codebases with strong usability and structure Contribute to architectural decisions shaping the firm’s ML platform and tooling ecosystem Stay close to emerging ML techniques, frameworks, and hardware developments, integrating where valuable What You’ll Bring… 3-8 years’ experience in machine learning engineering, applied ML, or similar technical roles Strong academic or practical grounding in mathematics (e.g.

optimisation, linear algebra, probability) Experience building ML systems end-to-end, from experimentation through to production deployment Hands-on experience with modern ML frameworks (e.g.

PyTorch, JAX, TensorFlow or similar) Proven ability to structure and maintain clean, reliable, and reproducible research code Solid software engineering fundamentals, including system design and API development Genuine interest in state-of-the-art ML research and willingness to explore new techniques Ability to critically assess modelling approaches and choose appropriate methods for different problems Strong communication skills and ability to collaborate closely with researchers and engineers ...