Remote Machine Learning Engineer jobs open to Australia.

Python · Java · AWS

Qualifications: At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.; Qualifications: This role may also be eligible for benefits, bonuses, commissions, and equity.; Qualifications: + years of experience in building Machine Learning and AI infra/Platform/Systems; Qualifications: Comprehensive ML lifecycle expertise: Proven experience developing, deploying, and maintaining end-to-end ML systems, from data engineering to model serving and monitoring.; Qualifications: Large-scale system design: Extensive experience designing and building scalable, fault-tolerant, and high-performance distributed systems for machine learning.; Qualifications: Proficiency with frameworks and languages: Good proficiency in Python and familiarity with ML frameworks like PyTorch, TensorFlow, or JAX. Bonus if you have worked with other languages like Go, Java, or Scala.; Qualifications: MLOps and automation: Some experience implementing MLOps, CI/CD pipelines, and automation for continuous training, deployment, and monitoring of ML models.; Qualifications: It would be great, but not required if you have; Qualifications: Cloud infrastructure: Hands-on expertise with major cloud platforms such as AWS, GCP, or Azure, including their specific AI/ML services and compute resources like GPUs.; Qualifications: Big data processing: Experience with distributed computing frameworks for large-scale data processing, such as Spark, Ray, or Dask.; Qualifications: Performance optimization: A demonstrated ability to diagnose and solve complex performance and optimization problems for ML models and infrastructure.; Qualifications: Generative AI systems: Experience with GenAI frameworks and tools, including developing and fine-tuning large language models (LLMs) and building retrieval-augmented generation (RAG) systems.

AtlassianAtlassian is a Sydney-based B2B software company specializing in collaboration tools for software development and project management, serving a global market.

Deep learning model training, PyTorch, JAX, Machine learning algorithm implementation, Fast-paced environment adaptability, Collaborative work style

Python · Kotlin · SQL

Your background: On the first day, we’ll expect you to have; Your background: Bachelor’s or Master’s degree, preferably in Computer Science or a related field, or equivalent practical experience; Your background: + years of related industry experience in machine learning, including hands-on experience designing, evaluating, and operating LLM-based or agentic systems; Your background: Strong coding skills in Kotlin and/or Python, with the ability to write performant, production-quality code and work effectively with AI-assisted software development practices; Your background: Experience building and operating machine learning systems in production, including the operational practices required to improve system quality, reliability, and cost; Your background: Experience building datasets, evaluations, and benchmarks for systems operating at scale; familiarity with SQL, distributed data processing, and cloud data environments; Your background: A strong ownership mindset and a track record of driving ambiguous technical outcomes from problem definition through delivery and operation; Your background: Strong communication and influencing skills, with the ability to explain ML concepts to diverse audiences and steer technical direction with cross-functional stakeholders; Your background: Experience leading technical work and coaching engineers in a collaborative team or virtual squad; Your background: A pragmatic, iterative approach that balances a high bar for quality with the value of delivering, learning, and improving; Your background: It’s great, but not required, if you have; Your background: Experience fine-tuning smaller language models

AtlassianAtlassian is a Sydney-based B2B software company specializing in collaboration tools for software development and project management, serving a global market.

Python · SQL

6 years of experience, Machine learning, Deep learning, Neural networks, Statistical modeling, Tree-based methods, Boosting, Regression, Dimensionality reduction, Personalization systems, Recommendation systems, Operations research, Mathematical modeling, Linear programming, Integer programming, Discrete event simulation, Large language models, Fine-tuning methods, Reinforcement learning from human feedback, Python, SQL, Data pipelines, Machine learning libraries/tools, Mentoring, Agile environments

BetterHelpBetterHelp is a global B2C online mental health platform headquartered in Purchase, NY, offering subscription-based therapy services through licensed professionals via various digital communication methods.

Python · Kotlin

8 years of experience, Production LLM systems, Agentic systems expertise, Multilingual conversational AI, AI evaluation and safety, Python for AI/ML, Backend engineering (Go/Kotlin), Model serving in cloud environments, Technical leadership in AI projects, Payments or fintech experience

YunoYuno is a global payment orchestration platform headquartered in [location], specializing in B2B payment infrastructure that enables businesses to integrate over 1,000 payment methods through a single API.

GPU programming, Inference optimization, Real-time ML model deployment, Performance profiling, Latency-sensitive applications

ElevenLabsElevenLabs is a Poland-based AI voice technology company specializing in advanced speech synthesis and audio solutions for a global market, operating in both B2B and B2C contexts.

ML Deployment Mastery, Cloud Platforms, Core Stack Expertise, Tooling & Infrastructure, Architecture & Integration, Problem Solving, Cross-Functional Collaboration, Business Alignment

CoderioCoderio is a remote-first B2B tech company specializing in IT staff augmentation and scalable digital solutions for global businesses.

Python

4 years of experience, Autonomous AI agents in production, Context engineering, Agent frameworks: LangChain, LangGraph, CrewAI, AutoGPT, RAG systems on vector databases, Python and AI/ML libraries, Integrating LLMs via API, AI governance and model lifecycle management, Implementing Model Context Protocol (MCP), AI guardrails and safety tooling