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Senior machine learning engineer – front office quant trading

Dublin
IT Search
Machine learning engineer
Posted: 5 March
Offer description

Dublin (Onsite)
IT Search has partnered with a global quantitative trading organisation to hire a Senior Machine Learning Engineer for a newly established team building a next-generation research and execution platform in Dublin.
This is a hands‑on individual contributor role within a high‑impact group operating close to front‑office trading. The team is focused on advanced data‑driven strategies, internal liquidity optimisation, and real‑time decision systems. You’ll join at an early stage, with genuine influence over architecture, tooling, and engineering standards.
The Role

Design and implement end‑to‑end ML pipelines, including large‑scale training, tuning, model serving, and production validation
Develop clean, robust, and well‑tested Python code aligned with strong CI/CD and engineering best practices
Act as the Python and machine learning subject‑matter expert within the team
Evaluate and introduce new frameworks, platforms, and tools where appropriate
Partner closely with quantitative researchers, traders, and platform engineers on system design and delivery

What We’re Looking For

5+ years’ experience in Python development with strong machine learning expertise
Hands‑on experience with ML frameworks such as PyTorch, XGBoost, or similar
Proven experience deploying ML models into live production environments
Strong understanding of software engineering principles, testing, and automation
Ability to clearly communicate technical concepts to both engineering and business stakeholders

Nice to Have

Experience within quantitative finance or trading environments
Exposure to time‑series data platforms such as kdb+
Experience with cloud infrastructure or distributed systems

Fully onsite in Dublin with a highly competitive package on offer and flexibility on salary for the right person.
If this sounds like your next move, apply via the link or contact Graeme King at IT Search for a confidential chat.
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