11 machine learning engineer jobs at 7 companies in Sinking Spring, PA
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AI/ML Machine Learning Engineer
Herndon or King of Prussia or Littleton
$89k-$157k/yrOnsiteFull Time
Lockheed MartinNYSE: LMT: Designs and manufactures global security and aerospace systems.
Bachelor's in STEM required, TS/SCI clearance, advanced experience in AI/ML, deep learning or computer vision, experience with modern software development and programming (Python/Java/C++/C#/MATLAB), and cloud frameworks.
Vanguard: Provides mutual funds, ETFs, and investment management services.
8+ YOE8+ years related experience (≥3 years development), undergraduate degree or equivalent, expertise in Python and modern data science libraries, AWS SageMaker experience, MLOps and CI/CD, production ML and feature engineering.
Akuvo: Provides AI-powered collections and credit risk software for financial institutions.
10+ YOE3+ Mgmt10+ years in software/data engineering and ML, 3+ years technical leadership, strong Python and SQL, cloud data/ML platform experience (Azure preferred), production model lifecycle ownership.
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
5+ YOE5+ years Python or Java; 2+ years generative AI and prompt engineering; experience with React or Angular, AWS, LLMs, system design, CI/CD, and operationalizing AI models.
Akuvo: Provides AI-powered collections and credit risk software for financial institutions.
6+ YOE6+ years building and deploying production ML models; strong Python and SQL; experience with scikit-learn,XGBoost,LightGBM; Azure ML,Databricks,MLflow experience; model validation, monitoring, and governance.
Herndon or King of Prussia or Littleton or Sunnyvale
$89k-$178k/yrOnsiteFull Time
Lockheed MartinNYSE: LMT: Designs and manufactures global security and aerospace systems.
Bachelor's in STEM, experience with ML/AI and LLM/agentic technologies, strong Python skills, experience with modern ML frameworks, cloud and MLOps, agile development and strong communication.
Machine Learning Engineer, GenAI/ML - Vice President
Plano or Wilmington
OnsiteFull Time
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
7+ YOE7+ years Python or Java, 2+ years generative AI and prompt engineering, React/Angular and AWS experience, system design and CI/CD knowledge, experience with LLMs and ML libraries.
Python, Java, React, Angular, AWS, CI/CD, TensorFlow, PyTorch, Scikit-learn, Keras
Product Development Engineer II - Machine Learning
Hyderabad or Ambler
OnsiteFull Time
Phenom: AI-powered talent experience platform for human resources management.
Machine learning product engineering role; familiarity with QA/testing and automation; skills in Java and SQL; experience with Selenium, agile methodologies, problem solving, and communication.
Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) - Senior (Manayunk, PA, US, 19127)
Manayunk or Charlotte or San Antonio or Jacksonville or Alpharetta
$66k-$134k/yrHybridFull Time
EY: Global firm providing audit, tax, and professional consulting services.
3+ YOE3+ years Python and production ML deployment; hands-on LLM experience (GPT-4, Claude, Llama); agentic frameworks (LangChain, AutoGen, CrewAI); vector DBs (Pinecone, Weaviate, Chroma); cloud ML platforms and MLOps practices.
Product Development Engineer II - Machine Learning
Hyderabad or Ambler
OnsiteFull Time
Phenom: AI-powered talent experience platform for human resources management.
0+ YOEExperience in quality assurance, test automation, regression testing, and collaboration with development teams; strong analytical and problem-solving skills. Entry-level role (0-2 years).
Guardian Life: Provides life, disability, dental, and vision insurance products.
Advanced knowledge of machine learning engineering, distributed systems, cloud infrastructure, AI platforms, LLMs, RAG pipelines, orchestration, agentic frameworks, secure APIs, and enterprise governance.
Large Language Models (LLMs), retrieval-augmented generation (RAG), model orchestration frameworks, Agentic frameworks, API, cloud infrastructure, AI platforms