Machine Learning Engineer jobs
• The average pay for Machine Learning Engineer jobs is $125K per year.
• Entry-level positions start at $80K per year, while the most experienced workers can earn up to $302K per year.
• 34 companies are currently advertising Machine Learning Engineer jobs including , , , and .
• Top skills include MACHINE LEARNING, PYTHON, AWS, DATA SCIENCE and SQL.
• Entry-level positions start at $80K per year, while the most experienced workers can earn up to $302K per year.
• 34 companies are currently advertising Machine Learning Engineer jobs including , , , and .
• Top skills include MACHINE LEARNING, PYTHON, AWS, DATA SCIENCE and SQL.
Showing 20 jobs
Sort by
Relevance
+60d ago
Full time
·
Permanent
Similar jobs pay
~$120k - $160k
[]
Key points we found
- Join a global company as a Senior Machine Learning Engineer.
- Work on mission-critical platforms focusing on real-time decisioning and optimisation.
- Collaborate with cross-functional experts in a high-impact transformation programme.
Posted 9d ago
Full time
·
Permanent
Similar jobs pay
~$100k - $150k
Pay information not disclosed by advertiser
Key points we found
- Design, develop, implement, scale and maintain Advanced Analytics solutions using Google Cloud products.
- Collaborate with Data Scientists and Engineers to develop cutting edge retail tools in an agile manner.
- Communicate analyses, insights, and showcase working solutions.
Posted 1d ago
Full time
·
Permanent
Similar jobs pay
~$120k - $160k
Pay information not disclosed by advertiser
Key points we found
- Build and deploy machine learning systems for content generation.
- Own the full ML lifecycle from data pipelines to deployment.
- Collaborate with cross-functional teams to align ML work with content strategy.
Posted 35d ago
Full time
·
Permanent
Similar jobs pay
~$120k - $150k
Pay information not disclosed by advertiser
Key points we found
- Design, develop and deploy machine learning models into production environments.
- Mentor engineers and promote engineering best practices.
- Collaborate with Product and Engineering teams to deliver new platform capabilities.
Posted 34d ago
Full time
·
Permanent
Similar jobs pay
~$90k - $130k
Pay information not disclosed by advertiser
Key points we found
- Design and develop machine learning models and AI systems.
- Build end-to-end MLOps pipelines and implement LLMOps workflows.
- Collaborate with stakeholders to deliver high-impact AI solutions.
Posted 12d ago
Full time
·
Permanent
Similar jobs pay
~$120k - $150k
Pay information not disclosed by advertiser
Key points we found
- Own the ML platform strategy end-to-end, defining the technical roadmap.
- Develop foundational infrastructure to accelerate ML delivery and standardise workflows.
- Solve distributed systems problems and design scalable serving architecture.
Expiring in 4d
Full time
·
Permanent
Similar jobs pay
~$120k - $160k
Pay information not disclosed by advertiser
Key points we found
- Act as a solution expert across ML domains including evaluations, training, inference, data pipelines, quality, and optimisation.
- Work directly alongside product teams as a trusted partner, helping them navigate technical challenges and arrive at effective solutions.
- Debug and resolve complex issues, identifying root causes and sharing learnings broadly.
Expiring in 4d
Full time
·
Permanent
Similar jobs pay
~$120k - $180k
Pay information not disclosed by advertiser
Key points we found
- Design and implement machine learning models for personalized recommendations.
- Lead the technical direction and improve the architecture of recommendation systems.
- Collaborate with cross-functional teams to deploy new features and mentor junior engineers.
Posted 20d ago
Full time
·
Permanent
Similar jobs pay
~$120k - $160k
Pay information not disclosed by advertiser
Key points we found
- Develop and productionise machine learning models for user-facing capabilities.
- Optimise training performance and GPU efficiency for PyTorch workloads.
- Create libraries and tooling to enhance developer experience and model deployment.
+60d ago
Full time
·
Permanent
Similar jobs pay
~$350k+
Pay information not disclosed by advertiser
Key points we found
- Develop and implement machine learning solutions to solve complex business problems.
- Collaborate with cross-functional teams to design, build, and deploy machine learning models.
- Enhance model performance through feature engineering and robust evaluation frameworks.
+60d ago
Full time
·
Permanent
Similar jobs pay
~$150k - $200k
$15000 - $20000 per annum
Key points we found
- Design, build, test and optimise Computer Vision solutions for core platform.
- Translate cutting-edge computer vision research into high-performance, production-ready code.
- Work autonomously and flexibly to deliver impactful solutions.
Expiring in 2d
Full time
·
Permanent
Similar jobs pay
~$150k - $180k
Salary: AU$150000 - AU$180000 per annum
Key points we found
- Build and automate production-level machine learning pipelines for marketing programs.
- Collaborate with cross-functional teams to design, test, and deploy scalable solutions.
- Contribute to the evolution of MLOps standards and best practices.
Posted 14d ago
Full time
·
Contract
Similar jobs pay
~$114k - $123k
Pay information not disclosed by advertiser
Key points we found
- Contribute to the development of innovative machine learning solutions using deep learning and multimodal foundation models.
- Lead the design, development, and implementation of advanced prototype systems for complex reasoning tasks.
- Collaborate with multidisciplinary teams to translate cutting-edge research into practical outcomes.
Posted 14d ago
Full time
·
Contract
Similar jobs pay
~$114k - $123k
Pay information not disclosed by advertiser
Key points we found
- Contribute to the development of innovative machine learning solutions using deep learning and multimodal foundation models.
- Lead the design, development, and implementation of advanced prototype systems for complex reasoning tasks.
- Collaborate with multidisciplinary teams to translate cutting-edge research into practical outcomes.
Posted 22d ago
Full time
·
Permanent
Similar jobs pay
~$120k - $150k
Pay information not disclosed by advertiser
Key points we found
- Lead the design and implementation of AI research and production infrastructure.
- Mentor junior engineers and enhance data usability across teams.
- Collaborate with scientists and engineers to transition models from research to production.
Expiring in 2d
Full time
·
Permanent
Similar jobs pay
~$100k - $150k
Pay information not disclosed by advertiser
Key points we found
- Design and develop infrastructure and services for AI products.
- Collaborate with Applied Scientists to transition models from research to production.
- Build scalable AI services that enhance user experiences for millions of customers.
+60d ago
Full time
·
Permanent
Similar jobs pay
~$120k - $150k
Pay information not disclosed by advertiser
Key points we found
- Develop machine learning models for digitising real-world infrastructure.
- Mentor junior engineers and foster a collaborative work environment.
- Stay updated with best practices in data handling and MLOps.
+60d ago
Full time
·
Permanent
Similar jobs pay
~$120k - $150k
Pay information not disclosed by advertiser
Key points we found
- Develop machine learning models for digitising real-world infrastructure.
- Mentor junior engineers and foster a collaborative work environment.
- Stay updated with best practices in data handling and MLOps.
Expiring in 4d
Full time
·
Permanent
Similar jobs pay
~$180k - $200k
$180000 - $200000 + super + benefits
Key points we found
- Join a fast-moving technology team building next-generation AI systems.
- Design and deploy machine learning systems using modern frameworks.
- Develop scalable machine learning infrastructure in AWS.
Posted 60d ago
Full time
·
Permanent
Similar jobs pay
~$120k - $150k
Pay information not disclosed by advertiser
Key points we found
- Lead the design, implementation, and maintenance of end-to-end ML infrastructure and automation solutions.
- Drive cloud infrastructure and architectural decisions supporting large-scale ML workloads.
- Collaborate closely with data scientists and stakeholders to identify infrastructure needs and streamline workflows.