Time since we first saw it
Day 153
Up longer than most. Similar jobs usually come down between day 6 and day 70.
From 4,442 similar postings that came down. Coming down is not always a hire.
Location not stated
Open 5 months, first seen by us 153 days agoEmployment type in the employer’s posting: ContractorFrom the employer’s posting
Develop machine learning models for client projects
Integrate AI into existing systems
Optimize ML pipelines
Build applied generative AI (GenAI) use cases
Engagements may involve model development
AI integration into existing systems
optimization of ML pipelines
applied generative AI (GenAI) use cases
experienced in machine learning, applied AI solutions, and intelligent system development
(Python, Cloud, Git, RAG, MLOps)
exclusively for independent consultants and B2B contractors
We are expanding our B2B consultant network with AI & Machine Learning Engineers (Python, Cloud, Git, RAG, MLOps) experienced in machine learning, applied AI solutions, and intelligent system development. Engagements may involve model development, AI integration into existing systems, optimization of ML pipelines, and applied generative AI (GenAI) use cases.
Open 5 monthsWe first saw this posting 153 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 153
Up longer than most. Similar jobs usually come down between day 6 and day 70.
From 4,442 similar postings that came down. Coming down is not always a hire.
4 open jobs
Check the employer’s posting for the current role and application details.
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New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
We are expanding our B2B consultant network with AI & Machine Learning Engineers (Python, Cloud, Git, RAG, MLOps) experienced in machine learning, applied AI solutions, and intelligent system development.
Engagements may involve model development, AI integration into existing systems, optimization of ML pipelines, and applied generative AI (GenAI) use cases.
If you are an independent AI professional open to flexible project-based work, we would be glad to stay connected.
We are continuously building our network of experienced B2B consultants and contractors across various technology domains.
By applying to this talent pool, you are expressing interest in future project-based collaborations with our team. When a suitable opportunity aligned with your expertise becomes available, we will reach out to discuss potential engagement.
Please note: These opportunities are exclusively for independent consultants and B2B contractors (freelance / company-to-company cooperation), and full-time employment roles.
If you are open to flexible, project-driven collaboration, we would be glad to stay connected.
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