101 to 125 of 255 PyTorch Jobs in the UK excluding London

Physics or a related discipline, or equivalent industry experience. Strong proficiency in relevant programming languages (Python – essential; C++ – preferred; SQL – exposure), tools and technologies (Pytorch or Tensorflow – essential; Opencv, Scipy, Pandas, or equivalent libraries for image processing and data science - essential; MS Azure Synapse – exposure) used in the development ...

capabilities into prototypes and customer solutions.Support use cases such as anomaly detection, forecasting, computer vision, and geospatial analytics.Work with modern machine learning frameworks including PyTorch and Scikit-learn.Support DevOps and Delivery ExcellenceDeploy containerized applications using Docker and Kubernetes.Implement CI/CD pipelines and observability tooling.Produce high-quality technical documentation ...

timeseries data and text Strong programming skills in Python and experience with standard data science libraries such as pandas, numpy, scikit-learn, tensorflow, pytorch Experience working with data systems, structured and unstructured databases such as ClickHouse or MongoDB Familiarity with APIs, pipelines, kubernetes and linux environments. Experience with version control ...

5+ years (Senior) or 8+ years (Staff) of hands‐on applied ML experience, including production‐grade work. Deep familiarity with modern deep learning stack (PyTorch or JAX), and breadth across at least two of: generative models (diffusion, autoregressive, flow‐based), graph and equivariant networks, vision (CNNs, ViTs, multimodal LLMs), search ...

based systems Evaluation methodologies for ML/IR/GenAI Advanced programming skills in Python Experience with modern ML/NLP frameworks (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack) Experience working with Databricks or similar distributed data/ML platforms Strong understanding of experimentation design and statistical analysis Preferred qualifications ...

Python and/or R, including software development best practices (version control, testing, documentation).Experience with machine learning libraries such as scikit-learn, PyTorch, or Keras.Strong data visualization and exploratory data analysis skills.Ability to translate complex analytical concepts into clear, actionable insights.Strong collaboration and communication skills across multidisciplinary teams.Fluency ...

evaluation, data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting, bug fixing, relational databases, database design and maintenance, AWS/cloud infrastructure, CI/ ...

modern data science and machine learning techniques, including supervised and unsupervised learning. Proficiency in the Python data science ecosystem (e.g. NumPy, Pandas, scikit‐learn, PyTorch, TensorFlow). Experience with big data and distributed analytics platforms (e.g. Spark, Hadoop). Hands‐on experience with Natural Language Processing, graph analytics and advanced ...

hackajob is partnering directly with Kainos to hire for this role. Join Kainos and Shape the Future At Kainos, were problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether ...

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 ...

requirement at this band)PREFERRED QUALIFICATIONHands-on experience with cloud platforms (AWS, Azure, GCP)Well versed in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow)Practical experience with NLP and/or Search techniquesPrompt engineering, and LLMs for enterprise-scale ...

biomedical foundation models, geometric deep learning, multi-modal learning, and large-scale knowledge graphs.Excellent programming skills and proficiency in deep learning frameworks such as PyTorch, with openness to learning new tools and technologies.Practical experience across ML and LLM software stack, including feature engineering, model development, deployment, and validation.Prior experience working ...

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 ...

evaluation and validation, overfitting and bias/variance trade‐offs, and data quality and feature engineering Proficiency in Python and ML frameworks such as PyTorch or TensorFlow Experience building and maintaining ML pipelines in production Familiarity with GPU usage and optimisation The ability to debug and improve model performance systematically ...

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 ...

evaluation and validation, overfitting and bias/variance trade-offs, and data quality and feature engineering • Proficiency in Python and ML frameworks such as PyTorch or TensorFlow • Experience building and maintaining ML pipelines in production • Familiarity with GPU usage and optimisation • The ability to debug and improve model performance systematically ...

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 ...

products within a regulated environment. 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. Strong foundation in AI/ML, including transformer architectures, tokenisation, embeddings, and fine‐tuning large language ...

including version control, code reviews, documentation, automated testing, coding standards, CI/CD, issue tracking, and Agile development. Knowledge of ML frameworks such as PyTorch or TensorFlow. Experience building and shipping end‐to‐end ML systems in real‐world production environments. A BSc or MSc in Computer Science, Engineering, Mathematics ...

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 ...

asynchronous teams across different time zones. Nice to have: Experience with implementing software tools to optimize code. Knowledge of ML frameworks such as PyTorch or TensorFlow. Knowledge of the ONNX format. Experience building, debugging, and shipping end-to-end ML systems in real-world production environments. About Electronic Arts ...

research, and bring relevant advances from the literature into the product. What you’ll need: A deep working knowledge of transformer architectures. Strong PyTorch skills, with the ability to write custom training loops, modify model architectures, and debug issues at the tensor level. Ideally, experience with parameter-efficient fine-tuning ...

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 ...

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 ...

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 operating in complex ...