Senior ML Engineer: AI-Native Evaluation & Search

Work180; United Kingdom; Hybrid; GBP 90,000 - 150,000; Full time

Job summary

At Atlassian, we’re looking for a Senior Machine Learning Engineer to join our Search & Intelligence organization. We build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms that power Atlassian’s AI products.

You’ll design and deploy production ML solutions, partner with data engineers and product teams, and continuously improve model quality with robust evaluation strategies. We support flexible work locations and a collaborative culture.

Qualifications

• Bachelor's or Master's in CS/ML or equivalent experience.
• At least 4 years of production ML/AI experience.
• Strong Python skills and production language experience (Java/Kotlin/TypeScript).
• Experience with SQL and large-scale data processing (Spark).
• Experience deploying and scaling models with large datasets.
• Designing evaluation strategies and analyzing model quality.
• Familiarity with cloud ML/data platforms (AWS/Databricks).
• Ability to solve ambiguous problems and deliver production-quality solutions.
• Strong communication and collaboration skills.
• Agile mindset and continuous improvement.

Responsibilities

• Develop and deploy ML/AI systems in production.
• Collaborate with data engineers and product teams.
• Iterate on model evaluation and deployment strategies.
• Scale models to handle large datasets and services.

Skills

Python

Java

Kotlin

TypeScript

Communication

Education

Bachelor’s or Master’s degree in Computer Science, ML, Data Science, or related field

Tools

SQL

Spark

AWS

Databricks

Job description

At Atlassian, we’re looking for a Senior Machine Learning Engineer to join our Search & Intelligence organization. We build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms that power Atlassian’s AI products.

You’ll design and deploy production ML solutions, partner with data engineers and product teams, and continuously improve model quality with robust evaluation strategies. We support flexible work locations and a collaborative culture.