16 of 16 PyTorch Jobs in the North of England

Science, Finance, or a related field - Strong programming skills in Python, R, or MATLAB, with experience in AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn. - Solid understanding of probability theory, statistical modelling, and time-series analysis. - Experience working with large datasets, SQL, and cloud computing platforms is more »

development & deployment. Hands-on experience with at least one major AI technology (Preferably related to Machine Learning or Natural language processing) Proficient in Python (PyTorch, Scikit, TensorFlow) and SQL. Must be able to work in our Bangkok office in Sukhumvit (BTS On Nut) or have the ability to relocate. Experience more »

of experience in machine learning engineering, with a strong focus on productionizing ML models and MLOps. Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Hands-on experience with CI/CD pipelines more »

Learning, Finance, or a related field - Strong programming skills in Python, C++, or Java, with experience in AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn. - Experience with high-frequency trading (HFT), algorithmic trading, or financial markets is highly desirable. - Knowledge of time-series analysis, statistical modelling, and more »

Data Science, Computer Science, Statistics, Applied Mathematics, or a related field You have strong proficiency in Python, leveraging libraries like Prophet, TensorFlow, Keras, and PyTorch for LSTM, along with expertise in SQL and machine learning frameworks You have hands-on experience with leading time series forecasting techniques, including Prophet, ARIMA more »

apply for the role 3+ years' experience in applied machine learning and production model deployment Proficiency in Python, SQL, and ML frameworks like TensorFlow, PyTorch, or scikit-learn Hands-on experience with AWS services and Databricks; familiarity with ML Ops principles is a plus Ability to quickly learn new tools more »

really investing in their data capabilities! Requirements Experience developing and deploying machine learning models Skills in Python, SQL and ML frameworks such as TensorFlow, PyTorch or scikit-learn Hands-on experience with Databricks (either on AWS or Azure) Understanding of ML Ops principles is beneficial Confident working independently and a more »

Building and maintaining scalable machine learning pipelines Working with large datasets, including image and video processing Implementing deep learning techniques using frameworks like TensorFlow, PyTorch, or OpenCV Collaborating with cross-functional teams to integrate AI solutions into production Staying up to date with the latest advancements in AI, ML, and … computer vision What We're Looking For Strong experience in Python and ML frameworks (PyTorch, TensorFlow, OpenCV, Scikit-learn) Hands-on experience with image and video processing techniques Proficiency in deep learning architectures (CNNs, GANs, Transformers, etc.) Familiarity with cloud platforms (AWS, GCP, or Azure) for ML model deployment Strong more »

Data Scientist (LLM & NLP Focus) Location: Manchester (Hybrid – 3 days in the office) Experience Level: Minimum 1 year of experience in Data Science Are you fascinated by uncovering patterns in data? Do you hold data quality to the highest standard more »

into real-world applications. Leverage Google Cloud Platform (GCP) to build and deploy cloud-native ML solutions. Utilize Python and key ML libraries (Pandas, PyTorch, Numpy, etc.) for model development. What We're Looking For 5+ years of experience in machine learning, with a strong focus on building production-grade … with MLOps tools and pipelines (e.g., MLflow, Kubeflow, or similar). Solid programming skills in Python, with experience in ML libraries such as Numpy, PyTorch, or Pandas. Knowledge of Retrieval-Augmented Generation (RAG) techniques, embeddings, knowledge graphs Strong experience working with Google Cloud Platform (GCP) for ML workflows. Data Science more »

into real-world applications. Leverage Google Cloud Platform (GCP) to build and deploy cloud-native ML solutions. Utilize Python and key ML libraries (Pandas, PyTorch, Numpy, etc.) for model development. What We're Looking For 5+ years of experience in machine learning, with a strong focus on building production-grade … with MLOps tools and pipelines (e.g., MLflow, Kubeflow, or similar). Solid programming skills in Python, with experience in ML libraries such as Numpy, PyTorch, or Pandas. Knowledge of Retrieval-Augmented Generation (RAG) techniques, embeddings, knowledge graphs Strong experience working with Google Cloud Platform (GCP) for ML workflows. Data Science more »

into real-world applications. Leverage Google Cloud Platform (GCP) to build and deploy cloud-native ML solutions. Utilize Python and key ML libraries (Pandas, PyTorch, Numpy, etc.) for model development. What We're Looking For 5+ years of experience in machine learning, with a strong focus on building production-grade … with MLOps tools and pipelines (e.g., MLflow, Kubeflow, or similar). Solid programming skills in Python, with experience in ML libraries such as Numpy, PyTorch, or Pandas. Knowledge of Retrieval-Augmented Generation (RAG) techniques, embeddings, knowledge graphs Strong experience working with Google Cloud Platform (GCP) for ML workflows. Data Science more »

into real-world applications. Leverage Google Cloud Platform (GCP) to build and deploy cloud-native ML solutions. Utilize Python and key ML libraries (Pandas, PyTorch, Numpy, etc.) for model development. What We're Looking For 5+ years of experience in machine learning, with a strong focus on building production-grade … with MLOps tools and pipelines (e.g., MLflow, Kubeflow, or similar). Solid programming skills in Python, with experience in ML libraries such as Numpy, PyTorch, or Pandas. Knowledge of Retrieval-Augmented Generation (RAG) techniques, embeddings, knowledge graphs Strong experience working with Google Cloud Platform (GCP) for ML workflows. Data Science more »

into real-world applications. Leverage Google Cloud Platform (GCP) to build and deploy cloud-native ML solutions. Utilize Python and key ML libraries (Pandas, PyTorch, Numpy, etc.) for model development. What We're Looking For 5+ years of experience in machine learning, with a strong focus on building production-grade … with MLOps tools and pipelines (e.g., MLflow, Kubeflow, or similar). Solid programming skills in Python, with experience in ML libraries such as Numpy, PyTorch, or Pandas. Knowledge of Retrieval-Augmented Generation (RAG) techniques, embeddings, knowledge graphs Strong experience working with Google Cloud Platform (GCP) for ML workflows. Data Science more »

into real-world applications. Leverage Google Cloud Platform (GCP) to build and deploy cloud-native ML solutions. Utilize Python and key ML libraries (Pandas, PyTorch, Numpy, etc.) for model development. What We're Looking For 5+ years of experience in machine learning, with a strong focus on building production-grade … with MLOps tools and pipelines (e.g., MLflow, Kubeflow, or similar). Solid programming skills in Python, with experience in ML libraries such as Numpy, PyTorch, or Pandas. Knowledge of Retrieval-Augmented Generation (RAG) techniques, embeddings, knowledge graphs Strong experience working with Google Cloud Platform (GCP) for ML workflows. Data Science more »

models. You have expertise in monitoring large training jobs in a distributed environment and ability to debug job failures. You have deep expertise in Pytorch (or Tensorflow) and debugging training failure modes. You have deep knowledge of fine-tuning or training with open-weight Gen AI models (i.e. Llama, Mistral … Gemma). You have previous experience with Weights & Biases, Run.ai, Pytorch, Tensorflow, Hugging Face libraries. You have experience but not limited to NVIDIA NeMo Stack (for both training and inference). Professional Skills You will be part of a client facing white glove service where a high level of professionalism more »