Senior Machine Learning Engineer jobs
8 open roles for senior machine learning engineer, updated continuously as employers post them.
Hiring most here right now:
Senior Machine Learning Engineer
A senior machine learning engineer role at Atlassian building production ML and evaluation systems for the Rovo AI agent platform.
Senior Machine Learning Engineer
A senior machine learning engineering role at Atlassian building evaluation and agentic AI systems for the Rovo product, open remotely. Suited to an experienced ML engineer who wants to remain hands-on while setting technical direction.
Senior Machine Learning Engineer
A senior ML engineering role at Syncron, remote within Karnataka, India, spanning model development through production MLOps. Suited to practitioners with 4-8 years of experience who can move from notebooks to production.
Senior Machine Learning Engineer
A senior ML engineering role at Syncron in Bengaluru, for a practitioner who builds models and also ships them to production.
Senior Machine Learning Engineer
Senior Machine Learning Engineer role for a remote Toronto-based engineer taking deep-learning systems from research through production. It suits experienced ML engineers who combine strong modeling fundamentals with software, infrastructure and technical-leadership skills.
Senior Machine Learning Engineer (TechTree)
Remote senior machine learning engineer role in Warszawa or Kraków focused on real-time disinformation detection and production ML infrastructure. The position suits an engineer who can own models, data systems, deployment, and monitoring rather than working only on research prototypes.
Senior Machine Learning Engineer
Senior Machine Learning Engineer role for an India-based candidate building production generative-AI, LLM, and agentic systems remotely. The position requires five or more years in AI or machine learning and strong production Python experience.
Senior Machine Learning Engineer
Quantiphi is hiring a senior Machine Learning Engineer in India to lead production ML, generative AI, and MLOps delivery for healthcare and life sciences projects. The role suits hands-on technical leaders with six to eight years of experience across Python, deep learning, RAG, agentic systems, and cloud operations.