Machine Learning Engineer
Washington, DC · On-site
Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...
Machine Learning Engineer
Washington, DC · On-site
Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...
Machine Learning Engineer ProSidian is a Management And Operations Consulting Services firm that focuses on providing value to clients through tailored solutions based on industry-leading practices.
Machine Learning Engineer ProSidian is a Management And Operations Consulting Services firm that focuses on providing value to clients through tailored solutions based on industry-leading practices.
Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...
Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...
SW Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance ... The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI ...
SW Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance ... The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI ...
Machine Learning Engineer This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance. The Amazon Web Services ...
Machine Learning Engineer This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance. The Amazon Web Services ...
Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...
Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...
Machine Learning Developer
Arlington, VA · On-site
The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI solutions, improve predictive models, and deploy machine learning systems into production. Key ...
Machine Learning Developer
Arlington, VA · On-site
The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI solutions, improve predictive models, and deploy machine learning systems into production. Key ...
The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI solutions, improve predictive models, and deploy machine learning systems into production. Key ...
The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI solutions, improve predictive models, and deploy machine learning systems into production. Key ...
Machine Learning Developer
Arlington, VA · On-site
The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI solutions, improve predictive models, and deploy machine learning systems into production. Key ...
Machine Learning Developer
Arlington, VA · On-site
The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI solutions, improve predictive models, and deploy machine learning systems into production. Key ...
Machine Learning Engineer
Washington, DC · On-site
Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...
Quick apply
Machine Learning Engineer
Washington, DC · On-site
Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...
Machine Learning Engineer
Washington, DC · On-site +1
$130K - $200K/yr
We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build, evaluate, and deploy advanced machine learning systems across a range of safety, security, and ...
Machine Learning Engineer
Washington, DC · On-site +1
$130K - $200K/yr
We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build, evaluate, and deploy advanced machine learning systems across a range of safety, security, and ...
Machine Learning Engineer Our client, a financial company, is looking for a Machine Learning Engineer for their McLean, VA location. Requirements: * Python, AWS, Kubernetes, Kubeflow, MLOps, ML ...
Machine Learning Engineer Our client, a financial company, is looking for a Machine Learning Engineer for their McLean, VA location. Requirements: * Python, AWS, Kubernetes, Kubeflow, MLOps, ML ...
Machine Learning Engineer Velocity-X, a VelocityBlack company, constructs and deploys data management and analytics solutions for the defense and intelligence communities. We're proud to boast a ...
Machine Learning Engineer Velocity-X, a VelocityBlack company, constructs and deploys data management and analytics solutions for the defense and intelligence communities. We're proud to boast a ...
Machine Learning Engineer
Washington, DC · On-site +1
$130K - $200K/yr
We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build, evaluate, and deploy advanced machine learning systems across a range of safety, security, and ...
Machine Learning Engineer
Washington, DC · On-site +1
$130K - $200K/yr
We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build, evaluate, and deploy advanced machine learning systems across a range of safety, security, and ...
Machine Learning Engineer
Washington, DC · On-site
$130K - $200K/yr
We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build, evaluate, and deploy advanced machine learning systems across a range of safety, security, and ...
Machine Learning Engineer
Washington, DC · On-site
$130K - $200K/yr
We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build, evaluate, and deploy advanced machine learning systems across a range of safety, security, and ...
Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Transform machine learning ...
Quick apply
Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Transform machine learning ...
Senior Machine Learning Engineer
Mclean, VA · On-site
$107K - $147K/yr
Senior Machine Learning Engineer McLean, Virginia Senior Machine Learning Engineer Location: McLean ... Our teams build AI/ML solutions that help the DoD detect enemies and threats, help biomedical ...
Senior Machine Learning Engineer
Mclean, VA · On-site
$107K - $147K/yr
Senior Machine Learning Engineer McLean, Virginia Senior Machine Learning Engineer Location: McLean ... Our teams build AI/ML solutions that help the DoD detect enemies and threats, help biomedical ...
Machine Learning Engineer
Washington, DC · On-site
Overview We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power our ...
Machine Learning Engineer
Washington, DC · On-site
Overview We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power our ...
Centurion is seeking a Machine Learning Engineer to join their team onsite in Arlington, VA . Required Skills: Active Secret Clearance Machine learning modeling; Econometrics; Classical regression ...
Centurion is seeking a Machine Learning Engineer to join their team onsite in Arlington, VA . Required Skills: Active Secret Clearance Machine learning modeling; Econometrics; Classical regression ...
Machine Learning Engineer
Washington, DC · On-site +1
Machine Learning Engineer We're seeking a skilled Machine Learning Engineer to build and deploy production ML systems for the next-generation data management and artificial intelligence platform for ...
Machine Learning Engineer
Washington, DC · On-site +1
Machine Learning Engineer We're seeking a skilled Machine Learning Engineer to build and deploy production ML systems for the next-generation data management and artificial intelligence platform for ...
Machine Learning Biomedical Engineer information
What is the difference between Machine Learning Biomedical Engineer vs Data Scientist in Biomedical Industry?
| Aspect | Machine Learning Biomedical Engineer | Data Scientist in Biomedical Industry |
|---|---|---|
| Required Credentials | Degree in Biomedical Engineering, Computer Science, or related fields; knowledge of machine learning and biomedical data | Degree in Data Science, Statistics, or related fields; proficiency in data analysis and machine learning |
| Work Environment | Research labs, healthcare institutions, biotech companies | Healthcare analytics firms, research institutions, biotech companies |
| Employer & Industry Usage | Develops algorithms for medical devices, diagnostics, and treatment planning | Analyzes biomedical data to inform clinical decisions, research, and product development |
Both roles require expertise in machine learning and biomedical data, but Machine Learning Biomedical Engineers focus on developing algorithms for medical applications, while Data Scientists analyze biomedical data to support research and clinical decisions.
What does a Machine Learning Biomedical Engineer do?
A Machine Learning Biomedical Engineer applies machine learning techniques to solve problems in biology and medicine. They develop algorithms and models to analyze complex biomedical data, such as medical images, genetic information, or sensor readings. Their work supports advancements in diagnostics, treatment planning, and personalized medicine. Typically, they collaborate with clinicians, researchers, and other engineers to design systems that improve healthcare outcomes.
What are the key skills and qualifications needed to thrive as a Machine Learning Biomedical Engineer, and why are they important?
To thrive as a Machine Learning Biomedical Engineer, you need a strong background in biomedical engineering, data analysis, and machine learning, typically supported by a degree in biomedical engineering, computer science, or a related field. Familiarity with programming languages like Python or R, machine learning frameworks (e.g., TensorFlow, PyTorch), and experience with medical imaging or signal processing tools are commonly required. Critical thinking, problem-solving, and the ability to communicate complex technical concepts to interdisciplinary teams are vital soft skills. These abilities are crucial for developing innovative healthcare solutions, ensuring regulatory compliance, and bridging the gap between technology and medicine.
How does a Machine Learning Biomedical Engineer typically collaborate with clinicians and researchers in a healthcare setting?
Machine Learning Biomedical Engineers often work closely with clinicians and researchers to develop algorithms that solve real-world medical challenges. Collaboration usually involves understanding clinical needs, translating them into technical requirements, and iteratively refining models based on feedback from medical experts. Regular meetings, interdisciplinary project teams, and direct participation in data collection or validation studies are common. This collaborative environment ensures that technical solutions are both innovative and clinically relevant, making communication and adaptability essential skills.
What are popular job titles related to Machine Learning Biomedical Engineer jobs in Washington? For Machine Learning Biomedical Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biomedical Engineer jobs in Washington look for? The top searched job categories for Machine Learning Biomedical Engineer jobs in Washington are:
What cities in Washington are hiring for Machine Learning Biomedical Engineer jobs? Cities in Washington with the most Machine Learning Biomedical Engineer job openings:
Job description
Machine Learning Engineer
Washington, DC (Hybrid)
About the Role:
We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power our platform. You will work closely with data scientists, data engineers, and product teams to ensure scalable, reliable, and production-grade AI solutions. You'll play a critical role in operationalizing large language models (LLMs) and other ML systems, ensuring they run efficiently, securely, and with robust monitoring in place.
Key Responsibilities:
Qualifications:
Washington, DC (Hybrid)
About the Role:
We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power our platform. You will work closely with data scientists, data engineers, and product teams to ensure scalable, reliable, and production-grade AI solutions. You'll play a critical role in operationalizing large language models (LLMs) and other ML systems, ensuring they run efficiently, securely, and with robust monitoring in place.
Key Responsibilities:
- Design, implement, and maintain ML deployment pipelines for scalable production systems.
- Operationalize large language models (LLMs) and other AI/ML models, ensuring high availability and reliability.
- Build robust model monitoring, logging, and alerting systems to track performance and detect drift.
- Partner with data scientists to transition models from research/prototype into production-ready deployments.
- Develop CI/CD pipelines for ML workflows, integrating testing, validation, and automated deployment.
- Optimize runtime performance of ML models across cloud platforms (AWS, GCP, Azure) and distributed systems.
- Apply containerization and orchestration (Docker, Kubernetes) to enable reproducible, scalable systems.
- Collaborate with cross-functional teams to ensure ML systems align with platform goals and business requirements.
Qualifications:
- 5+ years of experience as a Machine Learning Engineer, MLOps Engineer, or similar role.
- Proven experience deploying and maintaining machine learning models in production at scale.
- Hands-on experience with ML lifecycle tooling (MLflow, Kubeflow, SageMaker, Vertex AI, or similar).
- Strong proficiency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow.
- Deep knowledge of containerization (Docker) and orchestration (Kubernetes) for production ML systems.
- Expertise with cloud platforms (AWS, GCP, Azure) for ML deployment and scaling.
- Strong understanding of MLOps best practices, monitoring, and automation.
- Excellent problem-solving skills, with an emphasis on building reliable, scalable systems.
- Strong communication and collaboration skills across technical and non-technical teams.