101 to 125 of 127 TensorFlow Jobs in Manchester

Work closely with data scientists, engineers, and water experts Contribute to technical architecture, roadmap, and investor discussions You Bring: Expertise in Python, scikit-learn, TensorFlow/PyTorch Experience with time-series data and anomaly detection Familiarity with real-time data pipelines (e.g., MQTT, InfluxDB, Grafana) Startup mindset: proactive, experimental More ❯

imaging (CT, CBCT, MRI, Ultrasound, X-Ray, etc.) Solid understanding of 3D data, segmentation tasks, and landmark detection Hands-on with frameworks like PyTorch , TensorFlow , MONAI , nnU-Net , etc. Experience with DICOM data handling Bonus points for any exposure to regulatory standards (ISO 13485, FDA SaMD) or experience in More ❯

AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. More ❯

AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. More ❯

AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. More ❯

deployment of scalable solutions. Work closely with data scientists to deploy machine learning models into production environments. Optimise model inference performance (leveraging frameworks like TensorFlow or PyTorch for model serving) and implement monitoring to track model performance, accuracy, and reliability post-deployment. Keep up-to-date with the latest … Must have 8 years’ experience working as a Software Engineer on large software applications Proficient in many of the following technologies – Python, REST, PyTorch, TensorFlow, Docker, FastAPI, Selenium, React, TypeScript, Redux, GraphQL, Kafka, Apache Spark. Experience working with one or more of the following database systems – DynamoDB, DocumentDB, MongoDB … deployment of scalable solutions. Work closely with data scientists to deploy machine learning models into production environments. Optimise model inference performance (leveraging frameworks like TensorFlow or PyTorch for model serving) and implement monitoring to track model performance, accuracy, and reliability post-deployment. Keep up-to-date with the latest More ❯

deployment of scalable solutions. Work closely with data scientists to deploy machine learning models into production environments. Optimise model inference performance (leveraging frameworks like TensorFlow or PyTorch for model serving) and implement monitoring to track model performance, accuracy, and reliability post-deployment. Keep up-to-date with the latest … Must have 8 years’ experience working as a Software Engineer on large software applications Proficient in many of the following technologies – Python, REST, PyTorch, TensorFlow, Docker, FastAPI, Selenium, React, TypeScript, Redux, GraphQL, Kafka, Apache Spark. Experience working with one or more of the following database systems – DynamoDB, DocumentDB, MongoDB More ❯

a plus. Required Experience Web Scraping Statistical Modelling - Regression, time series, clustering Proficiency in Python & SQL Preferred Skills and Experience Experience with Pandas, Kubernetes, TensorFlow, Docker Strong knowledge in statistics and data analysis #J-18808-Ljbffr More ❯

/Selenium) Familiarity with modern DevOps practices (CI/CD pipelines, Docker, etc) Nice to have but not essential: Exposure to ML frameworks like TensorFlow or PyTorch (not essential) Experience in e-commerce or retail tech environments This is a hybrid role 2 days a week in office, so More ❯

/Selenium) Familiarity with modern DevOps practices (CI/CD pipelines, Docker, etc) Nice to have but not essential: Exposure to ML frameworks like TensorFlow or PyTorch (not essential) Experience in e-commerce or retail tech environments This is a hybrid role 2 days a week in office, so More ❯

/or information to improve performance Test the overall solution to see how it performs Key experience: Python (NumPy/OpenCV)/PyTorch/TensorFlow Good understanding of AI/ML Models (DeepLearning/Computer Vision) CI/CD TDD Why join them: Be part of a thriving, well More ❯

/or information to improve performance Test the overall solution to see how it performs Key experience: Python (NumPy/OpenCV)/PyTorch/TensorFlow Good understanding of AI/ML Models (DeepLearning/Computer Vision) CI/CD TDD Linux Why join them: Be part of a thriving More ❯

/or information to improve performance Test the overall solution to see how it performs Key experience: Python (NumPy/OpenCV)/PyTorch/TensorFlow Good understanding of AI/ML Models (DeepLearning/Computer Vision) CI/CD TDD Linux Why join them: Be part of a thriving More ❯

Refine and test solutions to ensure they perform in production scenarios What You’ll Need Strong Python skills (NumPy, OpenCV) Familiarity with PyTorch or TensorFlow Experience working with ML pipelines and tooling (CI/CD, TDD) Comfortable working in a Linux environment Good understanding of ML and Deep Learning More ❯

/or information to improve performance Test the overall solution to see how it performs Key experience: Python (NumPy/OpenCV)/PyTorch/TensorFlow Good understanding of AI/ML Models (DeepLearning/Computer Vision) CI/CD TDD Why join them: Be part of a thriving, well More ❯

market data What They're Looking For: Strong background in machine learning, NLP, and statistics Proficient in Python and data wrangling Experience with PyTorch, TensorFlow, or XGBoost (a plus) #J-18808-Ljbffr More ❯

market data What They're Looking For: Strong background in machine learning, NLP, and statistics Proficient in Python and data wrangling Experience with PyTorch, TensorFlow, or XGBoost (a plus) #J-18808-Ljbffr More ❯

to mentor junior devs on good practice Nice-to-Haves: ◼ Some Terraform/IaC knowledge (we can help with this) ◼ Played with ML tools (TensorFlow/PyTorch) ◼ E-commerce/retail background (not essential) The Deal: Join a growing team at a proper tech success story Mostly Python work More ❯

to mentor junior devs on good practice Nice-to-Haves: ◼ Some Terraform/IaC knowledge (we can help with this) ◼ Played with ML tools (TensorFlow/PyTorch) ◼ E-commerce/retail background (not essential) The Deal: Join a growing team at a proper tech success story Mostly Python work More ❯

a variety of use cases addressing multimedia processing. Required Skills and Experience: Software development in Python and C++. Machine learning model development in e.g. TensorFlow/PyTorch. Development of algorithmic components to imaging and/or multimedia software. “Nice To Have” Skills and Experience: Experience in low level optimization More ❯

and logic behind model performance Refine and test solutions to ensure they perform in production scenarios What You’ll Need Familiarity with PyTorch or TensorFlow Experience working with ML pipelines and tooling (CI/CD, TDD) Comfortable working in a Linux environment Good understanding of ML and Deep Learning More ❯

maintain robust backend systems using Ruby (Rails or Sinatra) Integrate AI and machine learning tools/APIs into our applications (e.g., OpenAI, Hugging Face, TensorFlow, or custom models) Collaborate with frontend developers, data scientists, and product managers to deliver end-to-end features Optimize performance and scalability of AI More ❯

and maintain robust backend systems using Ruby (Rails or Sinatra) Integrate AI and machine learning tools/APIs into applications (e.g., OpenAI, Hugging Face, TensorFlow, or custom models) Collaborate with frontend developers, data scientists, and product managers to deliver end-to-end features Optimize performance and scalability of AI More ❯

maintain robust backend systems using Ruby (Rails or Sinatra) Integrate AI and machine learning tools/APIs into our applications (e.g. OpenAI, Hugging Face, TensorFlow or custom models) Collaborate with frontend developers, data scientists and product managers to deliver end to end features Optimise performance and scalability of AI More ❯

Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc You'll be skilled in application of MLOps frameworks within a production environment Excellent communication skills, both verbal and written Strong time management … Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc. Skilled in application of MLOps frameworks within a production environment Excellent communication skills, both verbal and written Strong time management and organisation skills More ❯