26 to 50 of 213 TensorFlow Jobs in England

solutions in Python Solid understanding of the Python ML ecosystem including libraries such as NumPy, pandas, and scikit learn, with exposure to PyTorch or TensorFlow Experience building and deploying containerised services and APIs Working knowledge of SQL and data driven application development Hands on experience with at least ...

skills (Python, SQL or similar) Experience building and maintaining data pipelines Working with structured and unstructured data Desirable Experience with machine learning frameworks (e.g. TensorFlow, PyTorch, scikit-learn) Exposure to Generative AI tools/frameworks (e.g. LLMs, LangChain) Experience with cloud platforms (Azure, AWS, or GCP) Familiarity with data ...

record delivering production AI/ML and GenAI at enterprise scale — real impact, not just prototypes Expert Python with hands-on experience in PyTorch, TensorFlow, LangChain, LangGraph, RAG pipelines, and LLMs Solid MLOps/LLMOps fundamentals: CI/CD for ML, model governance, and evaluation frameworks Broad cloud experience ...

delivering AI/ML projects end-to-end in production environments Strong Python skills with hands-on use of ML libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Solid understanding of machine learning fundamentals and performance evaluation techniques Experience working in cloud platforms (AWS, GCP, or Azure) with ...

such as OpenAI, Hugging Face, or similar Experience building and integrating AI-powered solutions into production systems Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar Familiarity with APIs, microservices, and cloud platforms (Azure, AWS, or GCP) Experience handling and processing large datasets Knowledge of prompt engineering ...

delivering AI/ML projects end-to-end in production environments Strong Python skills with hands-on use of ML libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Solid understanding of machine learning fundamentals and performance evaluation techniques Experience working in cloud platforms (AWS, GCP, or Azure) with ...

Agentic AI systems LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar frameworks RAG pipelines and vector databases AI agents and multi-agent orchestration Python, PyTorch, TensorFlow, Scikit-learn Cloud AI platforms such as AWS, Azure, or GCP Production deployment, MLOps, and scalable AI infrastructure API integration and workflow automation Bonus ...

advantageous. Experience with Azure AI Search (hybrid search, indexing), vector/embedding concepts, and GenAI evaluation/guardrails; familiarity with ML frameworks (for example TensorFlow) is a plus. Experience with complementary data prep/automation tooling (for example Alteryx or Power Platform). Experience with data warehouse automation tools ...

teams to deliver features Skills & Experience: Strong Python and SQL skills Familiarity with Azure or AWS Some exposure to ML frameworks (e.g. scikit-learn, TensorFlow, or PyTorch) Background in data engineering, analytics engineering, or similar Desirables: ETL/ELT pipeline experience Microsoft Fabric/Data Lake knowledge BI tools ...

machine learning, deep learning, and optimisation Hands-on experience training, evaluating, and deploying ML models in real-world systems Proficiency with PyTorch (preferred) or TensorFlow; familiarity with the Hugging Face ecosystem Experience with audio or speech models and frameworks. Experience building and maintaining end-to-end ML pipelines ...

with hands‐on delivery experience. Experience developing PAM plugins/connectors and automation. Familiarity with AI/ML concepts and tooling (for example Python, TensorFlow, Azure ML, Splunk AI). Strong understanding of access control models, threat detection, security frameworks and change management. Demonstrates SRE principles with a focus ...

star schemas and Kimball methodologies Experience supporting advanced Power BI models (DAX and Power Query) Exposure to ML/AI concepts (e.g. scikit-learn, TensorFlow) or an interest in preparing data for LLMs, RAG architectures or predictive models Experience with Docker and/or Terraform (desirable) What You Will ...

Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure). Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc. Ability to work in a fast‐paced environment and adapt to changing priorities. Excellent communication, collaboration, and leadership skills. Preferred ...

with; LLMs (OpenAI, Llama, Claude, Mistral), Vector DBs (Pinecone, Weaviate, FAISS), Frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, LangGraph) Strong Python + ML frameworks (PyTorch/TensorFlow) Experience deploying on AWS, Azure, or GCP Experience leading or influencing technical teams Nice to have: Experience in consulting/client-facing roles Exposure ...

data science or advanced analytics function. Deep technical expertise in Python, SQL and Spark SQL. Hands-on experience with machine learning frameworks including TensorFlow, PyTorch and scikit-learn. Experience with distributed computing and cloud platforms such as AWS, Azure Synapse or Snowflake. Familiarity with data transformation tools (Databricks, Azure ...

stack What They’re Looking For 4+ years experience in machine learning, data science, or AI engineering Strong Python skills (NumPy, Pandas, PyTorch/TensorFlow) Experience working with biological or biomedical data (industry or academia) Solid understanding of ML fundamentals (supervised/unsupervised learning, model evaluation, etc.) Familiarity with ...

Node.js, Python, REST & GraphQL APIs Cloud & Infra: AWS (ECS, S3, Lambda), Docker, Cloudformation, Pulumi, CI/CD with GitHub Actions ML/AI: PyTorch, TensorFlow, scikit‐learn, MLflow for experiment tracking, Zenml for ML pipelines Data: PostgreSQL, DynamoDB, data pipelines with Zenml (We’re open to evolving the stack ...

text, audio, image, or video data Familiarity with cloud platforms (AWS, Azure, GCP) Strong Python skills and experience with ML libraries and frameworks (e.g. TensorFlow, PyTorch) Knowledge of statistics and probability Experience with ML lifecycle tools (e.g. MLflow, Kubeflow, Argo) Understanding of Ethical and Responsible AI principles Security Requirements ...

Engineer or Data Scientist with production ML exposure Strong understanding of ML algorithms, model development, and deployment Experience with Python and ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn) Familiarity with data pipelines and cloud or on-prem environments Understanding of MLOps principles Ability to work in secure or regulated ...

distributed compute environments Experience with GPU scheduling/orchestration (e.g., Kubernetes schedulers - Volcano, Ray, etc.) Experience supporting ML workloads or training pipelines (PyTorch, TensorFlow, etc.) Experience with multi-cloud or hybrid cloud environments Background in performance optimization for training workloads Experience in robotics, simulation, or embodied AI systems What ...

/C++ and scripting languages such as Python Hands-on experience with computer vision and deep learning frameworks (e.g., OpenCV, OpenCL, PyTorch, TensorFlow, Caffe/Caffe2) Experience with both supervised and unsupervised machine learning, including computer vision, NLP, and LLM-based systems Familiarity with ML/MLOps pipelines ...

systems, networking, and system reliability Demonstrated ability to lead large technical initiatives and influence system design Experience supporting ML workloads or training pipelines (PyTorch, TensorFlow, etc.) Nice to have: Experience with multi-cloud or hybrid cloud environments Background in performance optimization for large-scale training workloads Experience in robotics ...

optimization, reinforcement learning, and/or large language models (LLMs) Experience in chip design and applied AI research Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) Experience influencing organizational policy and securing major research funding ...

optimization, reinforcement learning, and/or large language models (LLMs) Experience in chip design and applied AI research Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) Experience influencing organizational policy and securing major research funding ...

University degree (STEM or quantitative discipline) Strong foundations in mathematics and analytical reasoning Strong hands-on experience with, programming & Analytics: Python, SQL, Scikit-learn, TensorFlow Data & Cloud: AWS (Athena, S3, Redshift), data warehousing, ETL pipelines Visualisation & Tools: Jupyter, Visual Studio Code, Microsoft Excel, dashboards and reporting solutions Development Environments ...