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Weekend Machine Learning Jobs in Oklahoma (NOW HIRING)

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

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Weekend Machine Learning information

What are the most commonly searched types of Machine Learning jobs in Oklahoma?

The most popular types of Machine Learning jobs in Oklahoma are:

What cities in Oklahoma are hiring for Weekend Machine Learning jobs?

Cities in Oklahoma with the most Weekend Machine Learning job openings:

Infographic showing various Weekend Machine Learning job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Applied Machine Learning Engineer

Oklahoma City, OK • On-site

ANAUTICS INC
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees

$125 - $150/hr

Other

Posted 7 days ago


Job description

Take models from notebooks to production systems that serve real operational workflows.

Impact
  • Convert data science ideas into reliable model services.
  • Build feedback loops that improve model performance over time.
  • Help teams use AI where it creates measurable operational value.
What you'll do
  • Implement training, inference, feature, evaluation, and monitoring pipelines.
  • Work with data scientists to harden models for production use.
  • Build APIs, batch jobs, and workflows around ML capabilities.
  • Improve model reliability, latency, cost, and explainability.
What we're looking for
  • 4+ years of ML engineering or applied machine learning experience.
  • Strong Python and production software fundamentals.
  • Experience deploying models or ML-powered services.
  • U.S. Citizenship is required.
  • Must be capable of obtaining and maintaining a Top Secret security clearance.
  • Comfort working with ambiguous mission, data, and engineering problems.
  • Strong written communication and ability to explain technical decisions to technical and non-technical teams.
Preferred experience
  • AWS experience is a plus, especially secure cloud, GovCloud, serverless, data, or AI services.
  • AI, machine learning, LLM, agentic workflow, or decision intelligence experience is a plus.
  • Experience in defense, government, manufacturing, aerospace, logistics, or other mission-critical environments is a plus.
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