5 ml engineer jobs at 3 companies in London, CA
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AI Engineer/ML Engineer - Senior Developers - AI Training - Fresno, US
Fresno or United States
$80/hr RemoteContract
BS/MS/PhD in CS/AI/Robotics or related field, professional experience building/deploying/fine-tuning ML models, deep learning/LLM expertise (Transformers, Prompt Engineering, RLHF, RAG), ability to audit model logic and spot hallucinations.
PyTorch, TensorFlow/Keras, Python, NumPy, Pandas, Scikit-learn, Hugging Face Transformers, AWS (SageMaker), Google Cloud (Vertex AI), Weights & Biases, LangChain, Pinecone, Milvus, Weaviate
3mo
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Protection Scientist Engineer, Intelligence and Investigations
San Francisco or New York City or Washington or Remote - US
$198k-$425k/yr HybridFull Time
4+ YOE4+ years in technical analysis/detection using SQL and Python; experience in trust/safety; data engineering and ML knowledge; productionised code experience.
SQL, Python, Data pipelines, Machine Learning, Production software development
2mo
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Senior Product Manager, Smartfield
Fresno or United States
$140k-$160k/yr RemoteFull Time
10+ YOEBachelor's (or Master's) in CS, Agriculture, Agronomy, Engineering or related; 10+ years product management experience with data platforms, APIs and SaaS; technical fluency with data pipelines and cloud; IoT/ML/geospatial preferred.
APIs, SaaS, SaaS analytics, data pipelines, cloud systems, IoT, geospatial, ML
2mo
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Senior Product Manager, Smartfield
Kansas City or Fresno or United States
$140k-$160k/yr RemoteFull Time
10+ YOEBachelor's (or Master's) in a relevant field; 10+ years product management experience launching data-platform/API/SaaS products; technical fluency with data pipelines and cloud; experience with engineering and data science; IoT/geospatial/ML preferred.
data platforms, APIs, SaaS analytics, data pipelines, cloud systems, IoT, geospatial, ML
2mo
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Senior Product Manager, Smartfield
Denver or Fresno or United States
$140k-$160k/yr RemoteFull Time
10+ YOEBachelor's or Master's in a relevant field, 10+ years product management experience with data platforms, APIs, and SaaS analytics, strong technical fluency in data pipelines and cloud systems, experience with engineering/data science teams.
APIs, SaaS, data pipelines, cloud systems, IoT, geospatial, ML, AI