276 to 300 of 742 PyTorch Jobs in the UK

model registries using MLflow, Weights & Biases, Neptune, ClearML or a similar platform. Experience with distributed training frameworks such as Ray, DeepSpeed, Horovod or PyTorch FSDP.Hands-on experience optimising models for inference using TensorRT, ONNX Runtime, OpenVINO, quantisation or pruning. Strong Docker and containerisation skills, including multi-stage or multi-architecture ...

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 ...

DatabricksFamiliarity in Cloud-based application development (we use AWS & Azure)Familiarity with one or more ML frameworks and technologies: scikit-learn, xgboost, TensorFlow, PyTorch, Spark, SageMaker, Vertex AI, Kubeflow, Seldon, TritonStrong communication skills, able to express ideas clearly and collaborate across teamsAdditional InformationBring all of you to workWe create ...

Maths.* Strong Python coding experience/knowledge essential. Knowledge of git and CI/CD practices. Demonstrable proficiency with packages such as Pandas, Sklearn; Pytorch or Keras.* Knowledge of SQL and Excel; experience with Databricks would be welcome.**Person specification*** Excellent analytical skills and attention to detail.* Works effectively ...

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 ...

machine learning, computer science, computational chemistry, physics, or a related computational STEM field, or equivalent industry experience demonstrating comparable depth Strong Python and PyTorch skills, including implementing, training, debugging and evaluating deep learning models end-to-end Demonstrated experience training large-scale transformer models Demonstrated experience in one or more ...

related physical science/computer science. Experience deploying ML models into production environments Contributions to open‐source scientific software (e.g., RDKit, OpenMM, PyTorch or related tools) Benefits: Competitive Option Plan Frequent social events and off‐sites Private medical insurance 1‐week remote working per quarter Cycle to Work Scheme Pension ...

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 ...

Experience in programming with python Experience of using SQL Databases Experience with image processing and computer vision (opencv) Experience with machine learning (tensorflow/pytorch/keras) Experience with web technologies (javascript). Experience in analysing clinical data and knowledge of healthcare interoperability standards (including HL7 FHIR) Desirable Experience ...

have strong programming skills in Python , Rust, or similar; and strong software engineering fundamentals building performant and reliable systems. Proficient in deep learning frameworks (Pytorch, JAX, TensorFlow). You can work on different layers of the stack from low-level training backends, data ingestion to ML/RL algorithmic design ...

Finance, securities lending, or inventory management. Familiarity with revenue and yield management strategies. Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Knowledge of optimization libraries and techniques (e.g., Gurobi, CPLEX, linear/nonlinear programming). Track record of publishing research or presenting at industry conferences. ...

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 ...

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 ...

Estimation, Optimization and Scenarios simulation Solid experience with Probabilistic Programming and Bayesian Methods Experience using machine learning frameworks such as scikit-learn, Pymc, TensorFlow, PyTorch, Databricks ML, Keras etc..., Experience with ML at scale Experience coordinating projects across diverse teams. Proven attention to detail, critical thinking, and the ability ...

continual learning (parametric/model-based), model post-training and test-time adaptation. Preferred qualifications, capabilities, and skills Practical experience with ML libraries (e.g. PyTorch, TensorFlow/Keras, HuggingFace Transformers etc.), agent frameworks (e.g. LangGraph, Google ADK, etc.), common formal verification tools and languages (e.g., Coq/Isabelle/Lean ...

candidates 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 language ...

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 ...

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 ...

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 ...

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 ...

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 ...