Real-Time Adaptive ML Systems Engineer

adaption; Dublin; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Flexible work

Adaption Passport

Lunch stipend

Well-Being

Job summary

Adaption is seeking an engineer who thrives at the intersection of applied research and building real-world products. You will drive the design and implementation of adaptable data strategies, working directly with the founding team to shape both research direction and product vision.

This role requires technical excellence and a passion for delivering tangible impact. You will deliver end-to-end ML pipelines, optimize efficiency, and own data product implementations in production.

Qualifications

• Bachelor’s degree in Computer Science, Machine Learning, or a related field.
• 3-4 years of experience in machine learning, applied research, or systems-level engineering for artificial intelligence.
• Demonstrated experience closing the loop from production signal back into model retraining or fine-tuning.
• Experience with online learning, reinforcement learning, or efficient ML architectures.
• Strong software engineering skills and familiarity with Python.
• Exposure to working with observability tools (OpenTelemetry, Docker, Grafana).
• Excellent communication skills and ability to align technical work with high-level goals.
• A mindset of ownership, curiosity, and a bias toward action.

Responsibilities

• Deliver Real-World Impact: Lead the development and deployment of efficient, adaptive ML systems in real production environments.
• Hands-on Impact: Own implementation of data products addressing data, interaction, and evaluation challenges.

Skills

Ownership mindset

Curiosity

Bias toward action

Communication

Education

Bachelor’s degree in Computer Science, Machine Learning, or a related field

Tools

Python

OpenTelemetry

Docker

Grafana

Job description

Adaption is seeking an engineer who thrives at the intersection of applied research and building real-world products. You will drive the design and implementation of adaptable data strategies, working directly with the founding team to shape both research direction and product vision.

This role requires technical excellence and a passion for delivering tangible impact. You will deliver end-to-end ML pipelines, optimize efficiency, and own data product implementations in production.