Artificial Intelligence Engineer
- Proficiency in programming languages commonly used in AI (such as Python, C/C++, or Java) and relevant ML frameworks (for example, TensorFlow, PyTorch, or similar).
12 days
200+ Junior Machine Learning Engineer Jobs - November 2026 - High Salaries - Page 4
Showing 283 jobs results for
"junior machine learning engineer"
[T04] Machine Learning Engineer (ML) - Permanent Role
- Model deployment and integration: Collaborate with software engineers and DevOps teams to deploy machine learning models into production environments. Implement APIs and integrate models with existing systems and applications to enable real-time decision-making.
12 days
AI Engineer - Hybrid - Work from Home
- Build RAG and knowledge-based AI applications.
13 days
- Build and improve multimodal search capabilities by leveraging text, image, video, audio, user behavior, and other content signals.
13 days
Artificial Intelligence Engineer
- Perform exploratory data analysis to identify patterns and insights.
13 days
Machine Learning Engineer (Edge AI)
- Build prototypes, conduct experiments, compare modelling approaches and perform detailed error analysis.
13 days
- Work directly with the CEO, who has built and run multiple award-winning companies across several industries over 17 years. One decision maker, no committee. Your job includes challenging the brief where the brief is wrong, and you will get a straight answer either way, quickly.
13 days
Lead AI Engineer – AI - Data (Banking Industry)
- Lead the design and development of chatbot and automation workflows using Microsoft technologies such as MS OpenAI, AI Search, AI Foundry, and Power Platform, while conducting evaluations of large language models from key market providers.
13 days
ML Engineer - Supply Chain AI
- Build automated retraining pipelines so models stay relevant as data patterns change
13 days
13 days
- - Required programming languages: Python, PyTorch, C/C++
14 days
14 days
Machine Learning Engineer (AI Agent Platform)
- Enterprise systems and integrations
14 days
ML-AI Engineer | Contract | Gov
14 days
ML-AI Engineer - Fraud Analytics Model (Public Sector)
- Agentic AI architecture: Design the end-to-end architecture for FAM agentic AI solutions, including agent orchestration, workflows, state management, tool integration, human approval points and system interactions. Use suitable frameworks such as LangGraph or CrewAI. Architecture decisions will be made in consultation with DSAD’s Platform Team.
14 days
- UI/UX Collaboration: Collaborate with designers to build intuitive, responsive, and user-friendly interfaces across devices.
15 days
- Build and maintain CI/CD pipelines for machine learning solutions, enabling automated testing, packaging, deployment, and environment management.
15 days
Artificial Intelligence Engineer
- Knowledge of common AI/ML frameworks and tools (e.g., Python, TensorFlow, PyTorch, scikit-learn) and version control systems such as Git.
15 days
- Work directly with the CEO, who has built and run multiple award-winning companies across several industries over 17 years. One decision maker, no committee. Your job includes challenging the brief where the brief is wrong, and you will get a straight answer either way, quickly.
15 days
(Staff- Sr. Staff) Machine Learning Engineer
- Collaborate with Software (Edge AI) and AI Architecture teams to identify and pursue targeted improvements in ML software methodology, and support Software-initiated improvement efforts with algorithmic insight and implementation guidance
15 days
Artificial Intelligence Engineer
- Develop backend services and APIs using Python, with a focus on performance optimisation.
15 days
Artificial Intelligence Engineer
- Model quality assurance: Design test protocols, benchmarking suites, and accuracy and performance metrics that meet the standard of clinical scrutiny.
16 days
Internship Program
- Maintain and update client information and records within internal database systems.
16 days
- Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.
16 days
- - Model Development: Design and optimize high-precision, low-latency risk detection models utilizing massive multimodal data (text, image, audio, and behavioral sequences).
17 days
17 days
- Large-scale distributed systems
17 days
- Participate in offline-to-online synchronization, data consistency, and model-update timeliness optimization and handle traffic scheduling for heterogeneous resources
17 days
- Continuously optimize the training framework to better adapt to the training of large models
17 days
- Work directly with the CEO, who has built and run multiple award-winning companies across several industries over 17 years. One decision maker, no committee. Your job includes challenging the brief where the brief is wrong, and you will get a straight answer either way, quickly.
17 days