151 to 175 of 549 PyTorch Jobs in England

strong grounding in the maths and statistics behind machine learning Hands on experience training, evaluating and tuning deep learning models using frameworks such as PyTorch or TensorFlow A solid grasp of model evaluation, including choosing the right metrics, diagnosing overfitting, and designing sound validation strategies Experience taking models from experimentation ...

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 ...

Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python or C++ software development skills Expertise in deep learning from model training to optimisation and evaluation. Capable of designing, executing ...

Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python or C++ software development skills Expertise in deep learning from model training to optimisation and evaluation. Capable of designing, executing ...

proper pull-request workflow. Document what you build and raise the engineering standard around you. Requirements Essential Expert Python, with deep hands-on PyTorch experience (TensorFlow also welcome) and the surrounding ecosystem: Hugging Face Transformers, timm, scikit-learn, NumPy, pandas, OpenCV. Production experience on AWS, specifically Amazon SageMaker: training ...

experience in software engineering or ML engineering — through professional roles, internships, or coursework/research projects Strong Python skills and familiarity with libraries like PyTorch, Hugging Face, LangChain, or OpenAI APIs Solid understanding of data pipelines, APIs, and production deployment (e.g., Docker, FastAPI, GCP/AWS) Experience building usable systems ...

solid system design, integration, data, CI/CD, observability, security, and cloud‐native practices. Strong Python skills and experience with frameworks such as PyTorch, TensorFlow, scikit-learn, LangChain, LangGraph, or similar. Experience with LLM and agentic patterns, including retrieval, orchestration, tool use, evaluation, guardrails, and governed production deployment. Solid understanding ...

lexical, vector, hybrid)Evaluation methodologies for IR and generative AI systemsAdvanced programming skills in PythonExperience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph , Haystack)Experience working with Databricks or similar distributed data/ML platformsStrong understanding of experimentation design, evaluation frameworks, and statistical analysisProficiency ...

Electrical Engineering, Control Systems, or a related field Experience across a spectrum of libraries, frameworks and services: such as ML libraries e.g. TensorFlow or PyTorch; model servers such as AWS Bedrock; MLOps such as ML Flow or Sagemaker; agent/AI orchestration such as LangGraph or MCP libraries Strong programming ...

range of machine learning techniques to real‐world business problems, including using models such as XGBoost and deep learning approaches using frameworks such as PyTorch or TensorFlow, taking solutions from experimentation through to production deployment and operation. Strong knowledge of model governance, explainability, traceability, auditability, SHAP, Model Cards, and model ...

prediction market platforms (Polymarket, Manifold, etc.) Quantitative background in maths, statistics, or probability theory ML experience including random forests, regression models, scikit-learn, and PyTorch AWS infrastructure experience deploying containerised applications and managing cloud environments (EC2, Lambda, RDS) Open-source contributions to AI or crypto projects Compensation Salary ...

about AI and a willingness to explore how it can enhance your day-to-day work. Technologies and Tools Python Machine learning frameworks (e.g. PyTorch, TensorFlow, scikit-learn) ML/MLOps tooling (e.g. SageMaker, MLflow, TFServing) Spark and Databricks AWS services (e.g. IAM, S3, Redis, ECS) CI/CD tooling ...

scaling models that solve complex, real-world problemsDeep understanding of machine learning concepts and experience applying them in production settings, using frameworks such as PyTorch, TensorFlow, or gradient boosting librariesExperience with causal inference, uplift modelling, or optimisation under constraints, and comfort reasoning about decisions rather than predictions aloneStrong Python skills ...

secure online model‐execution, inference or simulation services, including containerised execution and job orchestration. Desirable Hands‐on knowledge of machine‐learning frameworks such as PyTorch, JAX or TensorFlow and model training, inference and/or model‐serving workflows. Desirable Knowledge of scientific modelling/simulation frameworks, numerical computing or systems ...

Essential Specialist Knowledge & Skills Requirement Importance Strong knowledge of modern machine learning and deep learning. Essential Excellent Python programming skills and practical experience with PyTorch, JAX, TensorFlow or an equivalent modern ML framework. Essential Knowledge and practical experience of generative modelling, representation learning, multimodal learning or related modern AI approaches. ...

cross-functional teams. Desirable Experience Experience with any of the following would be highly advantageous: Large Language Models (LLMs) Amazon Bedrock Azure AI Foundry PyTorch FastAPI Knowledge Graphs Kubernetes Docker Infrastructure as Code MLOps Event-Driven Architecture Vector Databases Retrieval-Augmented Generation (RAG) Technology Stack Python SQL FastAPI PyTorch Docker ...

years Location: Bangalore (Onsite) Must-Haves 5-8 years of experience in AI/ML Strong computer vision background Deep expertise in PyTorch/TensorFlow Production ML deployment experience Strong understanding of CNNs, transformers, detection, segmentation Hands-on experience with diffusion models or GANs Strong Python skills and ML system ...

technical competence Production Experience-To ensure code development & deployment in production Core Technical Skills Strong experience in: Machine Learning & Deep Learning frameworks (TensorFlow, PyTorch, etc.) Generative AI & LLM ecosystems (OpenAI, Hugging Face, LangChain, etc.) Agentic AI/Multi-agent system design Expertise in: NLP, Computer Vision, and Conversational AI Model ...

academic publications Required Expertise/Skills: Proficiency in programming languages such as Python Experience with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch) Strong understanding of image analysis and computer vision techniques Data preprocessing, model development, and evaluation skills Analytical thinking and problem-solving ability Scientific writing and communication ...

taking Machine Learning and Generative AI solutions into production, including RAG architectures. Deep technical knowledge of LLMs, NLP, Python, SQL and frameworks such as PyTorch or TensorFlow. A solid understanding of MLOps, DevOps, CI/CD and DevSecOps. Experience leading AI initiatives or technical teams, whether as a Director, Head ...

self-directed way. Nice to have Cloud platform experience (AWS, GCP, Azure) DevOps: CI/CD, containers, infrastructure as code Python, particularly with NumPy, PyTorch, or Transformers Any exposure to serving or scaling ML models What we offer Ownership of key infrastructure from day one. Meaningful equity in the company. ...

Vision Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Extensive experience with pytorch, numpy, pandas Hands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.) Able to communicate ...

tools or similar domains. Strong publication record in top‐tier AI conferences (e.g., NeurIPS, ICML, ICLR). Expertise in deep learning frameworks such as PyTorch or TensorFlow. Proficiency in Python and experience with large‐scale data processing. Familiarity with cloud computing platforms (e.g., AWS, Google Cloud). Excellent communication skills ...

neural network training dynamics Strong programming skills in Python and hands‐on experience with at least one modern deep learning framework, such as PyTorch, JAX, or TensorFlow Strong communication skills with the ability to explain technical ideas clearly to both technical and non‐technical audiences Please note that ...

detection or semantic/instance segmentation. Strong Python-based scientific computing and ML experience using tools such as NumPy, SciPy, OpenCV/Scikit-image, PyTorch/TensorFlow and Pandas. Experience developing maintainable, tested and reusable Python software and automated analysis pipelines, ideally within collaborative codebases. Understanding of software engineering practices ...