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Browse remote TensorFlow positions — production ML pipelines, Keras model development, TFX workflows, and mobile/edge AI with TFLite.
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Posted 6 months ago
Applications closedDataBridge Analytics
Remote (EU)
Stockholm, Sweden (UTC+1)
We are a 120-person fintech company based in Stockholm. Our product is a credit risk platform used by 18 lending institutions across the Nordic region...
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Posted 6 months ago
Applications closedNordBot AI
Remote
New York, United States (UTC-5)
We run ML models in production serving millions of predictions per day and need an ML engineer who is as comfortable with systems and infrastructure a...
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Posted 6 months ago
Applications closedKumoVision Labs
Remote
We manufacture small electronics and want to improve visual QA after PCB assembly. We have high-resolution images from two inspection stations and lab...
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We build a consumer app that allows anyone to photograph a skin lesion and receive an AI-assisted risk assessment — with triage guidance toward a derm...
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Posted 7 months ago
Applications closedPolarML
Remote (Europe preferred)
We build AI-powered quality inspection systems for industrial manufacturing. Currently deployed on 6 production lines across 3 suppliers in Germany an...
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Posted 7 months ago
Applications closedCanalVision Systems
Remote (EU timezone)
We process drone imagery for infrastructure inspection teams. Engineers need help finding cracks, corrosion, exposed rebar, and surface damage across...
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Posted 9 months ago
Applications closedAutoTrace AI
Remote
We build AI-assisted diagnostic tools for radiologists. Our current product analyses chest X-rays for abnormality detection. We're now expanding to CT...
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We make vibration, acoustic, and thermal sensors for industrial environments. Inference currently goes to cloud. We want it on the sensor. Need someon...
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Role guide
TensorFlow remains the preferred framework for enterprise ML deployments, structured pipelines via TFX, and mobile/edge applications via TFLite. Remote TensorFlow jobs typically require production engineering depth — model serving, pipeline orchestration, and cross-platform deployment experience.
Are TensorFlow jobs still available remotely?
Yes. TensorFlow is still widely used in enterprise AI, healthcare, and edge computing. Many large organisations have standardised on TF for its mature deployment tooling — particularly TFX and TFLite.
What is the typical stack for remote TensorFlow roles?
TF2 + Keras for modelling, TFX for pipeline orchestration, TensorFlow Serving or Vertex AI for deployment. Docker and Kubernetes are common for infrastructure. Some roles also involve TFLite for mobile deployment.
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