Are these GenAI / LLM roles or classical ML?

Both. Filter by 'GenAI', 'LLM', or 'RAG' in the skill chips to see GenAI-specific roles. Classical ML roles (recommenders, forecasting, NLP) are still the majority.

What's the difference between ML engineer and data scientist here?

ML engineer: builds and deploys production models. Data scientist: designs experiments and validates models. Some roles blend both, especially at earlier-stage clients.

What ML platform experience is most valued?

Vertex AI, SageMaker, or Databricks ML for cloud platforms. MLflow or Weights & Biases for experiment tracking. Ray or Kubeflow for distributed training. Kubernetes for serving.

What bill rates should senior ML engineers expect?

Senior ML engineers with production experience bill $130-$220/hr. GenAI/LLM-focused engineers at the top of the market can bill higher.

Machine Learning Engineer Jobs | ML, GenAI, LLM | ApTask

0 live ml roles

Machine learning has moved from research desks to production platforms across every industry. ApTask places senior ML engineers with PyTorch, TensorFlow, LLM, and MLOps experience into applied AI teams — from Fortune 500 ML platforms to fast-moving GenAI startups. See open roles below.

Submit a résumé Talk to a recruiter

No ML roles are open right now. New reqs land daily — submit a résumé and a vertical recruiter will reach out the moment a match opens.

Submit a résumé Browse all roles

Frequently asked

About ML roles at ApTask

Are these GenAI / LLM roles or classical ML?: Both. Filter by 'GenAI', 'LLM', or 'RAG' in the skill chips to see GenAI-specific roles. Classical ML roles (recommenders, forecasting, NLP) are still the majority.
What's the difference between ML engineer and data scientist here?: ML engineer: builds and deploys production models. Data scientist: designs experiments and validates models. Some roles blend both, especially at earlier-stage clients.
What ML platform experience is most valued?: Vertex AI, SageMaker, or Databricks ML for cloud platforms. MLflow or Weights & Biases for experiment tracking. Ray or Kubeflow for distributed training. Kubernetes for serving.
What bill rates should senior ML engineers expect?: Senior ML engineers with production experience bill $130-$220/hr. GenAI/LLM-focused engineers at the top of the market can bill higher.

Related roles

0 live ml roles

Submit a résumé Talk to a recruiter

No ML roles are open right now. New reqs land daily — submit a résumé and a vertical recruiter will reach out the moment a match opens.

Submit a résumé Browse all roles

Frequently asked

About ML roles at ApTask

Are these GenAI / LLM roles or classical ML?: Both. Filter by 'GenAI', 'LLM', or 'RAG' in the skill chips to see GenAI-specific roles. Classical ML roles (recommenders, forecasting, NLP) are still the majority.
What's the difference between ML engineer and data scientist here?: ML engineer: builds and deploys production models. Data scientist: designs experiments and validates models. Some roles blend both, especially at earlier-stage clients.
What ML platform experience is most valued?: Vertex AI, SageMaker, or Databricks ML for cloud platforms. MLflow or Weights & Biases for experiment tracking. Ray or Kubeflow for distributed training. Kubernetes for serving.
What bill rates should senior ML engineers expect?: Senior ML engineers with production experience bill $130-$220/hr. GenAI/LLM-focused engineers at the top of the market can bill higher.

Related roles

Live ML roles

About ML roles at ApTask

Explore other in-demand specializations

Live ML roles

About ML roles at ApTask

Explore other in-demand specializations