
11 - 50 employees
Founded 2020
🎯 Recruiter
👥 HR Tech
🤝 B2B
Recruitment • HR Tech • B2B
OnHires is a global IT recruitment and staffing partner that sources, vets, and places technical and creative talent for fast-growing companies. They provide services including vetted developers, sourcing, executive search, talent mapping, RPO, HR consulting, and flexible hiring models (subscription, pay-per-hire, hourly), with a focus on fast, high-quality hires and scalable talent pipelines.
🔥 2 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
Founded 2020
🎯 Recruiter
👥 HR Tech
🤝 B2B
Recruitment • HR Tech • B2B
OnHires is a global IT recruitment and staffing partner that sources, vets, and places technical and creative talent for fast-growing companies. They provide services including vetted developers, sourcing, executive search, talent mapping, RPO, HR consulting, and flexible hiring models (subscription, pay-per-hire, hourly), with a focus on fast, high-quality hires and scalable talent pipelines.
• Create and present machine learning courses for engineers, from foundations through training their own models • Shape courses with the curriculum team, including sections, lessons, labs, and notebooks • Write lab specifications for the dedicated labs team and test the completed labs • Write and narrate short, story-driven video lessons of approximately six minutes each • Record demo and lab-solution walkthroughs • Incorporate structured editorial feedback, particularly on the first section • Collaborate through weekly syncs, Slack communication, and time-zone overlap with a Europe/Asia-based team • Focus on teaching while the production team handles video editing, animation, lab infrastructure, and publishing
• Strong, hands-on machine learning foundations • Experience training, evaluating, and shipping models using scikit-learn, PyTorch, or TensorFlow • Ability to clearly explain the reasoning behind machine learning to engineers new to it • Excellent spoken and written English • Clear, natural, easily understood English and confidence on camera • Genuine passion for teaching demonstrated through courses, tutorials, talks, workshops, or mentoring • Current knowledge of the machine learning field and willingness to keep learning • Openness to an established teaching methodology and editorial feedback • Nice to have: published online courses, a book, or university/bootcamp teaching experience • Nice to have: experience with fine-tuning, MLOps, or deploying models in production • Nice to have: cloud ML certifications such as AWS, Azure, GCP, or Databricks • Must provide a CV or LinkedIn profile and a link demonstrating teaching or presentation ability
• Paid freelance course project • Fixed fee per course agreed upfront • Competitive fees, with higher compensation for advanced topics and exceptional instructors • Flexible hours • Fully remote work • Potential path to a full-time role or additional course projects
Apply Now🔥 8 hours ago
Senior ML Engineer improving ML classification of HSA/FSA-eligible health and wellness products at Truemed. Designing experiments, evaluation systems, and production models.
🔥 9 hours ago
Machine Learning Engineer running explainable student-assessment models across AWS SageMaker. Building production ML systems that help HMH improve K–12 learning outcomes.
🇺🇸 United States – Remote
💵 $110k - $115k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
🔥 11 hours ago
Lead machine learning scientist building advanced fraud models for Dave’s financial app. Improving fraud detection, credit decisions, and access to liquidity for Americans.
🇺🇸 United States – Remote
💵 $174k - $224k / year
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
🔥 12 hours ago
Senior ML Engineer optimizing Reddit Ads ML workloads for speed, scale, and cost efficiency. Profiling bottlenecks and improving inference, training, runtimes, and infrastructure.
🔥 16 hours ago
Machine Learning Engineer running explainable student assessment models through production on AWS SageMaker. Supporting HMH’s learning technology products with reliable modeling, deployment, monitoring, and iteration.
🇺🇸 United States – Remote
💵 $110k - $115k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor