23 of 23 PyTorch Jobs in the North of England

research and evaluate applicability to client projects Requirements 5+ years of experience in machine learning engineering or applied ML research Strong proficiency in Python, PyTorch or TensorFlow, and Scikit-learn Experience deploying ML models at scale using Docker, Kubernetes, or serverless Deep understanding of ML fundamentals: optimisation, regularisation, evaluation metrics ...

following areas would be highly beneficial: Machine Learning and AI Engineering Generative AI and Large Language Models Prompt engineering and context engineering scikit-learn, PyTorch or TensorFlow LangChain or similar AI frameworks Cloud data platforms and services across AWS, Azure or GCP Data warehouses and modern data platforms Big data ...

related field.Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment.Experience of appropriate version control and environment management (such ...

wider data science function approaches tooling, methodology, and model governance. Technical Environment Languages/Tools: Python (NumPy, Pandas, Scikit learn), deep learning frameworks (PyTorch/TensorFlow), SQL. MLOps: MLflow, cloud ML platforms (Azure ML, AWS SageMaker, or Databricks). Focus areas: Predictive modelling, recommender systems/personalisation, and increasingly, applied ...

from a leading university, AAB at A-Level Published papers Good understanding of software engineering concepts Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn Data Science experience including working with large data sets Responsibilities for Machine Learning Research Engineer Join a team responsible for investigating ...

model development Proficiency in programming languages such as Python, R, or C-Sharp. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Experience with cloud platforms (AWS, GCP, Azure), experience with Azure a plus. Experience leveraging AI code-writing assistants (e.g., GitHub Copilot, Claude Code, Codex ...

model development Proficiency in programming languages such as Python, R, or C-Sharp. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Experience with cloud platforms (AWS, GCP, Azure), experience with Azure a plus. Experience leveraging AI code-writing assistants (e.g., GitHub Copilot, Claude Code, Codex ...

technical solutionsRequirements3+ years of hands-on experience in applied machine learning and deploying production modelsProficiency in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, or scikit-learnExperience with AWS services and Databricks; understanding of ML Ops is highly beneficial Ability to quickly adapt to new tools and independently deliver ...

systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML). Solid understanding of cloud‐native and containerised architectures, including Kubernetes and serverless technologies. Experience ...

with the following technical skills: Industry experience working on Agile projects across the full software life cycle. Proficiency in machine learning frameworks such as PyTorch and TensorFlow, as well as tools for model integration. A strong foundation in AI/ML, including transformer architectures, tokenisation, embeddings, and fine-tuning large ...

practices Skills & Experience * Strong experience with AI engineering, or software engineering (e.g. Python, Java, JavaScript/TypeScript etc.) with libraries/frameworks such as PyTorch, TensorFlow etc.) * Experience with RAG and LLM-based solutions * Solid understanding of AI architectures and data pipelines * Knowledge of security, compliance, and governance principles from ...

leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing ...

Experience with GPU scaling for large-scale machine learning models. Expertise in deploying complex machine learning pipelines in production environments. Desirable Skills: Proficiency with PyTorch and Hugging Face transformers. Experience with neural audio codecs (e.g., Encodec). Background in Text-to-Speech (TTS) development. Experience with advanced techniques such ...

days remote arrangement. The ideal candidate holds a Ph.D. in a relevant field, with strong NLP/ML expertise, publications, and experience with PyTorch, TensorFlow and Scikit-Learn, plus data science work on large datasets. #J-18808-Ljbffr ...

large datasets. Understanding of image classification, object detection and segmentation tasks. Experience creating clear documentation and annotation guidelines. Excellent organisational skills. Desirable Experience with PyTorch datasets. Experience with MLOps or data pipelines. Understanding of computer vision model training. Knowledge of active learning workflows. Experience with Git. Robotics or autonomous systems ...

large datasets. Understanding of image classification, object detection and segmentation tasks. Experience creating clear documentation and annotation guidelines. Excellent organisational skills. Desirable Experience with PyTorch datasets. Experience with MLOps or data pipelines. Understanding of computer vision model training. Knowledge of active learning workflows. Experience with Git. Robotics or autonomous systems ...

large datasets. Understanding of image classification, object detection and segmentation tasks. Experience creating clear documentation and annotation guidelines. Excellent organisational skills. Desirable Experience with PyTorch datasets. Experience with MLOps or data pipelines. Understanding of computer vision model training. Knowledge of active learning workflows. Experience with Git. Robotics or autonomous systems ...

large datasets. Understanding of image classification, object detection and segmentation tasks. Experience creating clear documentation and annotation guidelines. Excellent organisational skills. Desirable Experience with PyTorch datasets. Experience with MLOps or data pipelines. Understanding of computer vision model training. Knowledge of active learning workflows. Experience with Git. Robotics or autonomous systems ...

large datasets. Understanding of image classification, object detection and segmentation tasks. Experience creating clear documentation and annotation guidelines. Excellent organisational skills. Desirable Experience with PyTorch datasets. Experience with MLOps or data pipelines. Understanding of computer vision model training. Knowledge of active learning workflows. Experience with Git. Robotics or autonomous systems ...

large datasets. Understanding of image classification, object detection and segmentation tasks. Experience creating clear documentation and annotation guidelines. Excellent organisational skills. Desirable Experience with PyTorch datasets. Experience with MLOps or data pipelines. Understanding of computer vision model training. Knowledge of active learning workflows. Experience with Git. Robotics or autonomous systems ...

requirement, helpful experience includes: An interest in working with data at scale using tools like dbt, Spark, and AI/ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn)Experience with Kafka or other event-driven architectures. During our application process, you will be asked two questions to help us learn more ...

Analytics, Cognitive Services, Event Hubs, Synapse, and Data Factory). Data Science & AI Development Skills: Fluency in Python and common modelling frameworks such as PyTorch and TensorFlow. MLOps & Production Deployment: Skilled in applying MLOps frameworks within production environments. Analytical & Problem‐Solving Strength: Excellent problem‐solving and analytical skills. Troubleshooting & Technical … 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. ...

Microsoft Azure, including Azure ML, Azure Stream Analytics, Cognitive Services, Event Hubs, Synapse, and Data Factory Fluency in Python and modelling frameworks such as PyTorch and TensorFlow Skilled in applying MLOps frameworks within a production environment Excellent verbal and written communication skills Strong time management and organisational skills Ability … Methodology AI Best Practices Agile Development Data Engineering Production Environment Tools & Technologies Azure ML Azure Stream Analytics Cognitive Services Event Hubs Synapse Data Factory PyTorch TensorFlow #J-18808-Ljbffr ...