126 to 150 of 522 TensorFlow Jobs in England

to communicate to a range of audiences. Nice to Haves Proficiency in a systems programming language (e.g., Go, C++, Java, Rust) Experience with deep learning frameworks like PyTorch or TensorFlow Experience with large-scale data processing engines like Spark and Dataproc Familiarity with data pipeline tools like dbt Benefits Flexible Working Hours & Remote-First Environment — Work when and where More ❯

backend skills — Python, REST APIs, FastAPI Proven experience scaling cloud-native systems (AWS, microservices, IaC) Kubernetes + Terraform expertise in production environments Solid understanding of ML deployment (e.g. PyTorch, TensorFlow, JAX) Frontend skills with React/TypeScript or similar Bonus: big data/real-time analytics/multi-cloud Why Join? Equity with serious upside and rapidly rising valuation More ❯

with 4+ years post-PhD experience in AI/ML research. Proven success leading R&D teams and securing funding. Strong Python programming skills and experience with ML frameworks (TensorFlow, PyTorch). Expertise in NLP, knowledge graphs, and/or graph machine learning. Desirable: experience with tools like PyTorch-Geometric, Neo4j, SQL/Cypher, or semantic reasoning. Role: AI More ❯

with SQLAlchemy or other Python ORMs Previous exposure to Ad-Tech tools and datasets (DSPs, SSPs, IP ranges, user identifiers, etc.) Understanding of ML tools and libraries (e.g. PyTorch, TensorFlow, Pandas, NumPy) Benefits of joining them: Competitive salary plus performance-based bonus and equity Fully remote within the UK Private health, dental, and vision insurance Generous annual leave and More ❯

versioning in compliant environments. Preferred Qualifications: Experience building ML models with wearable data (e.g., continuous heart rate, motion, respiration). Exposure to embedded AI or edge model deployment (e.g., TensorFlow Lite, Core ML, ONNX). Knowledge of healthcare data privacy and security (e.g., HIPAA, GDPR). Familiarity with GMLP (Good Machine Learning Practice) and clinical evaluation frameworks. #J More ❯

across a diverse software environment Desirable Skills, Knowledge and Competencies: Publications in top ML conferences (e.g. ICML, ICCV, SysML or similar) Contribution to open source ML frameworks such as –TensorFlow, TensorFlow Lite, etc. Experience with knowledge distillation, computer vision algorithms, federated learning Knowledge of one or more interpreted languages, such as Python and/or JavaScript Experience of More ❯

across a diverse software environment Desirable Skills, Knowledge and Competencies: Publications in top ML conferences (e.g. ICML, ICCV, SysML or similar) Contribution to open source ML frameworks such as –TensorFlow, TensorFlow Lite, etc. Experience with knowledge distillation, computer vision algorithms, federated learning Knowledge of one or more interpreted languages, such as Python and/or JavaScript Experience of More ❯

collection. AI/ML: Hands-on experience deploying AI-driven solutions in real-world scenarios— ideally across multiple ventures in health or neurotech—with proficiency in deep learning frameworks (TensorFlow, PyTorch) and expertise in biomedical signal processing and relevant libraries. Data Engineering: Strong skills in building and managing robust data pipelines for biomedical signals, preprocessing noisy, high-dimensional neurodata … and handling large-scale datasets using tools like Pandas, NumPy, SciPy, MNE, and TensorFlow/Keras or PyTorch. Wearables: Understanding of how AI models interact with wearable biosensors, embedded systems, and real-time decoding architectures. Familiarity with challenges in acquiring high-quality neurodata from non-invasive consumer-grade sensors. To learn more, drop me an email or 'apply' today More ❯

pain for extreme long-term pain. Embrace an extreme learning rate rather than assuming limits to your ability/knowledge. Responsibilities: Lower deep learning graphs—from common frameworks (PyTorch, TensorFlow, Keras, etc.) down to an IR representation for training—with particular focus on ensuring reproducibility. Write novel algorithms for transforming intermediate representations of compute graphs between different operator representations. … software design. Deep Learning understanding—both in terms of recent architecture trends + fundamentals of how training works, and experience with machine learning frameworks and their internals (e.g., PyTorch, TensorFlow, scikit-learn, etc.). Exposure to Deep Learning Compiler frameworks—e.g., TVM, MLIR, TensorComprehensions, Triton, JAX. Kernel Experience—experience writing and optimizing highly-performant GPU kernels. Note: For potential More ❯

AI trends and contribute to open research Requirements: PhD or equivalent experience in ML, AI, CS, physics, or mathematics Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindse Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX and optimization frameworks Why Join Us: Work More ❯

TypeScript, Node.js Vector Search: Use FAISS, Weaviate, Pinecone, ChromaDB, OpenSearch Required skills & experience: 3–5+ years of experience in ML engineering and software development Deep Python proficiency, with PyTorch, TensorFlow or Hugging Face Proven experience with LLMs, RAG, and deploying cloud-native AI on AWS Strong full-stack skills (React, TypeScript, Node.js) and API development Familiarity with vector databases More ❯

TypeScript, Node.js Vector Search: Use FAISS, Weaviate, Pinecone, ChromaDB, OpenSearch Required skills & experience: 3–5+ years of experience in ML engineering and software development Deep Python proficiency, with PyTorch, TensorFlow or Hugging Face Proven experience with LLMs, RAG, and deploying cloud-native AI on AWS Strong full-stack skills (React, TypeScript, Node.js) and API development Familiarity with vector databases More ❯

in a relevant AI/ML discipline 4+ years of postdoctoral or industry experience leading research teams Strong programming skills in Python and experience with frameworks like PyTorch or TensorFlow Deep expertise in one or more of: NLP, LLMs, graph machine learning, semantic AI, or knowledge graphs Proven track record of winning and delivering R&D projects Please note More ❯

vision and language models, ideally for identifying cyber threats (URLs, domains, phishing, botnets, etc.) Proficient in a major backend language (ideally Golang) and related ML/AI libraries (e.g. Tensorflow & PyTorch, etc.) Experience with an MLOps platform like Kubeflow. Demonstrated ability to transition models from prototype to production. Experience assessing various AI/ML technologies and models for fit More ❯

vision and language models, ideally for identifying cyber threats (URLs, domains, phishing, botnets, etc.) Proficient in a major backend language (ideally Golang) and related ML/AI libraries (e.g. Tensorflow & PyTorch, etc.) Experience with an MLOps platform like Kubeflow. Demonstrated ability to transition models from prototype to production. Experience assessing various AI/ML technologies and models for fit More ❯

working with Azure AI Foundry and its ecosystem. Strong background in LLM fine-tuning, RAG (Retrieval-Augmented Generation), and AI-driven application development. Proficiency in Python, ML frameworks (PyTorch, TensorFlow), and cloud-native AI solutions. Hands-on experience with Azure Cognitive Services, OpenAI APIs, and vector search (e.g., Azure AI Search, FAISS, CosmosDB, Pinecone, etc.). Experience in AI More ❯

working with Azure AI Foundry and its ecosystem. Strong background in LLM fine-tuning, RAG (Retrieval-Augmented Generation), and AI-driven application development. Proficiency in Python, ML frameworks (PyTorch, TensorFlow), and cloud-native AI solutions. Hands-on experience with Azure Cognitive Services, OpenAI APIs, and vector search (e.g., Azure AI Search, FAISS, CosmosDB, Pinecone, etc.). Experience in AI More ❯

a related field. Demonstrated success shipping LLM-based products (GPT, Llama, Mistral, or similar) or conversational AI systems into production. Deep knowledge of modern ML/NLP frameworks (PyTorch, TensorFlow, JAX) and orchestration stacks (LangChain, LlamaIndex, vector databases). Proven track record driving AI governance, model risk management, and compliance within regulated sectors (healthcare, med-tech, pharma, fintech, etc. More ❯

a related field. Demonstrated success shipping LLM-based products (GPT, Llama, Mistral, or similar) or conversational AI systems into production. Deep knowledge of modern ML/NLP frameworks (PyTorch, TensorFlow, JAX) and orchestration stacks (LangChain, LlamaIndex, vector databases). Proven track record driving AI governance, model risk management, and compliance within regulated sectors (healthcare, med-tech, pharma, fintech, etc. More ❯

large-scale models, AI agent orchestration, benchmarking, and deployment. Proven experience in AI research and leading complex projects. Experience with data enrichment and knowledge base development. Proficiency in PyTorch, TensorFlow, or Jax, and programming languages like Python, R, Java. Preferred: publications in peer-reviewed journals and conferences. Preferred: experience in the energy sector. If this sounds like you, we More ❯

Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post Strong background in: TensorFlow or PyTorch; Python and packages/libraries related to computer vision or graphics; evidenced by the development of advanced applications in image/video/graphics processing or computer More ❯

Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post Strong background in: TensorFlow or PyTorch; Python and packages/libraries related to computer vision or graphics; evidenced by the development of advanced applications in image/video/graphics processing or computer More ❯

state-of-the-art generative AI models Build scalable MLOps pipelines for production-ready AI solutions Collaborate with cross-functional teams to deliver business value Work hands-on with TensorFlow, PyTorch, Hugging Face, and GCP’s Vertex AI What you need: Proven experience with generative AI and LLMs on GCP Strong ML lifecycle expertise: data prep, model training, deployment More ❯

state-of-the-art generative AI models Build scalable MLOps pipelines for production-ready AI solutions Collaborate with cross-functional teams to deliver business value Work hands-on with TensorFlow, PyTorch, Hugging Face, and GCP’s Vertex AI What you need: Proven experience with generative AI and LLMs on GCP Strong ML lifecycle expertise: data prep, model training, deployment More ❯

management, and teamwork skills A proactive approach to innovation and problem solving Desirable: Publications in leading ML conferences (e.g., ICML, ICCV, SysML) Open-source contributions to ML frameworks (e.g., TensorFlow, TensorFlow Lite) Experience with knowledge distillation, computer vision, or federated learning Familiarity with Linux, shell scripting, and multi-threaded embedded software development If you are an AI Researched More ❯