51 to 75 of 271 TensorFlow Jobs in England

mathematics (probability theory, statistics, optimisation, etc) Proficiency in Python (required) and C++ (preferred for robotics integration) Experience with ML frameworks such as PyTorch (preferred), TensorFlow, or JAX Proven track record building production ML systems, not just research prototypes Strong software engineering fundamentals: modular design, testing, and version control Experience ...

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 ...

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 ...

vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine‐tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with ...

marketplaces, or similarly complex digital platforms Our technology stack Python and associated ML/DS libraries (scikit-learn, NumPy, LightGBM, Pandas, LangChain/LangGraph, TensorFlow, etc.) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc MLOps/DevOps: Terraform, Docker, Airflow, MLFlow Monitoring and evaluation platforms including New Relic ...

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/ ...

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 ...

related role. Proven experience in designing and deploying generative AI models and solutions. Hands-on experience with AI frameworks and tools such as TensorFlow, PyTorch, Hugging Face, etc. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying AI solutions in cloud environments. Technical Skills: Proficiency in programming ...

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 ...

again. Proven track record delivering impactful ML/AI solutions in production. Deep expertise in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, NumPy, Pandas). Hands-on experience with GenAI, agentic AI, and automated testing for AI systems. Curiosity and creativity to challenge assumptions ...

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 ...

Scientists to deploy trained machine learning models into production environments Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Experience with software engineering best practices and developing applications in Python. Technical experience of cloud architecture, security, deployment, and open-source tools ...

understanding of probability, optimisation, statistics, and ML fundamentals • Strong Python programming skills, with C++ experience considered highly beneficial • Experience using frameworks such as PyTorch, TensorFlow, or JAX • Experience building scalable ML systems for production environments • Familiarity with cloud or GPU based training infrastructure and MLOps workflows • Experience designing evaluation ...

incubations or complex deep‐tech cross‐functional initiatives with measurable outcomes. Expertise in Python and deep experience with deep‐learning frameworks (e.g., Jax, TensorFlow, PyTorch) and state‐of‐the‐art ML techniques. Practical experience with modern AI paradigms such as world models, foundation models, multi‐modal language models, agent ...

product teams to productionise models into scalable, high-performance systems Requirements Confident programming skills in Python, with experience using modern ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Good understanding of core machine learning concepts such as linear regression, reinforcement learning and deep learning Industry experience using Large Language Models ...

across a small ML team. What they’re looking for Proven experience building and operating production ML systems Strong Python and ML frameworks (PyTorch, TensorFlow) MLOps, CI/CD and model lifecycle management Cloud platforms (AWS, GCP or Azure) and containers/Kubernetes Experience with low-latency or real ...

skills in Python, with experience in research‐oriented code development and version control (git) Experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow) Strong foundation in experimental design, statistical analysis, and model evaluation Ability to effectively communicate complex research ideas to both technical and non‐technical audiences ...

leadership Deep expertise in a relevant technical domain such as ML systems, data pipelines, backend engineering, or cloud infrastructure Hands‐on experience with PyTorch, TensorFlow, or similar ML frameworks Strong understanding of scalable APIs, cloud‐native systems, and modern engineering practices Experience creating Proof of Concepts and evaluating technical ...

model inference (e.g., dynamic batching, flash attention, speculative decoding) Proven track record of developing and deploying models at scale Expertise in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms Strong familiarity with MLOps principles, CI/CD pipelines, and containerization (Docker, Kubernetes) With preferred backgrounds covering some ...

advanced academic work) Experience with AI testing, assurance, or evaluation tools strongly preferred Strong Python skills and familiarity with modern ML frameworks (e.g. PyTorch, TensorFlow) Cloud experience (AWS, Azure, or GCP) including deployment and scaling of AI systems Familiarity with Responsible AI frameworks (EU AI Act, NIST ...

computer science, mathematics, statistics, or other fields related to machine learning. Fluency in Python and at least one deep learning library (e.g. PyTorch, TensorFlow) or mathematical optimization library (e.g. Gurobi, CBC, Google OR tools) Strong technical communication skills, and ability to communicate across multiple functions. Ability to write clean ...

series, sensor & geospatial data 🔹 Develop real-world AI systems 🔹 Influence product and technical direction from day one Looking for experience with: ✔ Python ✔ PyTorch/TensorFlow/Scikit-learn ✔ Production ML systems ✔ AWS/GCP/Azure Bonus points for MLOps, signal processing, maritime or offshore energy experience. If interested ...

data engineering background - Python, JavaScript, Typescript node.js etc - A real passion for bleeding edge generative AI and/or advanced machine learning technology - Pytorch, TensorFlow, LlamaCPP, Keras etc - Varied database exposure - PostgreSQL, MongoDB, CosmosDB - Cloud services exposure - AWS preferred but all considered - Very strong communication skills - Experience working ...

distributed computing tools such as Azure Synapse and Snowflake. Familiarity with data transformation tools (Databricks, Azure Data Factory) and ML platforms (Azure ML, TensorFlow). Experience with data visualisation tools such as Power BI. Strong commercial acumen with the ability to translate business problems into scalable analytical solutions. Excellent ...