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Machine Learning Biomedical Engineer Jobs in Philadelphia, PA

Merican

AI / Machine Learning Engineer

PA · On-site

AI / Machine Learning Engineer (Contract) Location: Philadelphia, PA or Charlotte, NC Duration: 6 Months Contract Job Summary We are seeking an experienced AI / Machine Learning Engineer to design ...

Bespoke Labs

Machine Learning Engineer

Trenton, NJ · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Wilmington, DE · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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All JobsMachine Learning Biomedical Engineer JobsMachine Learning Biomedical Engineer Jobs in Philadelphia, PA

Machine Learning Biomedical Engineer information

See Philadelphia, PA salary details

$31.8K

$129.9K

$195.3K

How much do machine learning biomedical engineer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for machine learning biomedical engineer in Philadelphia, PA is $129,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,400.00 and $156,400.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Biomedical Engineer vs Data Scientist in Biomedical Industry?

AspectMachine Learning Biomedical EngineerData Scientist in Biomedical Industry
Required CredentialsDegree in Biomedical Engineering, Computer Science, or related fields; knowledge of machine learning and biomedical dataDegree in Data Science, Statistics, or related fields; proficiency in data analysis and machine learning
Work EnvironmentResearch labs, healthcare institutions, biotech companiesHealthcare analytics firms, research institutions, biotech companies
Employer & Industry UsageDevelops algorithms for medical devices, diagnostics, and treatment planningAnalyzes 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 Philadelphia, PA? For Machine Learning Biomedical Engineer jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biomedical Engineer jobs in Philadelphia, PA look for? The top searched job categories for Machine Learning Biomedical Engineer jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Machine Learning Biomedical Engineer jobs? Cities near Philadelphia, PA with the most Machine Learning Biomedical Engineer job openings:
Machine Learning Biomedical Engineer jobs near you
Machine learning Engineer

Machine learning Engineer

Tata Consultancy Services

Pennington, NJ • On-site

Full-time

Posted 2 hours ago

Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

157th of 206 rated it services

Job description

Job Summary:
Tata Consultancy Services is seeking a strong hands-on Machine Learning Engineer with deep experience in data science and model development. The role involves building scalable data and ML pipelines, delivering production-ready ML solutions, and working with various ML tools and cloud services.
Responsibilities:
• Looking for a strong hands-on ML Engineer with deep experience in data science, model development, and building scalable data/ML pipelines. Candidate must be technically solid, execution-focused, and able to deliver production-ready ML solutions.
• Build and maintain ML/data pipelines using Spark, Databricks, Airflow.
• Data ingestion, transformation, validation (Great Expectations preferred).
• CI/CD for ML, MLflow/Kubeflow/SageMaker/Azure ML.
• Model versioning, monitoring, retraining workflows.
• Docker, Kubernetes for deployment.
Qualifications:
Required:
• MLOps & Deployment
• CI/CD for ML, MLflow/Kubeflow/SageMaker/Azure ML
• Model versioning, monitoring, retraining workflows
• Docker, Kubernetes for deployment
• Strong Python (NumPy, pandas, scikit-learn, PyTorch/TensorFlow)
• Experience on AWS/Azure/GCP ML services
• Strong hands-on ML Engineer with deep experience in data science, model development, and building scalable data/ML pipelines
• Technically solid, execution-focused, and able to deliver production-ready ML solutions
• Supervised models: Logistic Regression, Random Forest, XGBoost/LightGBM, SVMs
• Deep learning: Neural Networks, CNN/RNN, Transformers (PyTorch or TensorFlow)
• Classification models and evaluation techniques (AUC, ROC, precision/recall, cross-validation)
• Data Preparation & Feature Engineering: Data cleaning, handling missing values & outliers
• Feature scaling, encoding, time-series feature generation
• Strong EDA and statistical analysis skills
• Data Pipeline Engineering: Build and maintain ML/data pipelines using Spark, Databricks, Airflow
• Data ingestion, transformation, validation (Great Expectations preferred)
• Strong Python (NumPy, pandas, scikit-learn, PyTorch/TensorFlow)
• Experience on AWS/Azure/GCP ML services
• BACHELOR OF COMPUTER SCIENCE
Company:
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting. It is a sub-organization of Tata Group. Founded in 1968, the company is headquartered in Mumbai, IND, with a team of 10001+ employees. The company is currently Late Stage.

What Tata Consultancy Services employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US

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