26 to 50 of 176 TensorFlow Jobs in England

LLMs, RAG, prompt engineering, vector databases). You have good understanding of MLOps practices and model deployment workflows. You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain). Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks ...

LLMs, RAG, prompt engineering, vector databases). You have good understanding of MLOps practices and model deployment workflows. You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain). Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks ...

LLMs, RAG, prompt engineering, vector databases). You have good understanding of MLOps practices and model deployment workflows. You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain). Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks ...

LLMs, RAG, prompt engineering, vector databases). You have good understanding of MLOps practices and model deployment workflows. You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain). Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks ...

LLMs, RAG, prompt engineering, vector databases). You have good understanding of MLOps practices and model deployment workflows. You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain). Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks ...

LLMs, RAG, prompt engineering, vector databases). You have good understanding of MLOps practices and model deployment workflows. You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain). Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks ...

agentic frameworks. Strong proficiency in programming languages such as Python, Java, or Go, along with experience integrating with relevant AI/ML frameworks (e.g., TensorFlow, PyTorch). Proven ability to translate complex business requirements into well‐defined, cloud‐optimized application architectures, scalable data models (e.g., relational, NoSQL, graph ...

record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality ...

augmented generation, tool/function calling, agentic workflows), including evaluation and safety patterns. Expertise with machine learning frameworks and data science packages (e.g., PyTorch, TensorFlow, Scikit‐Learn, NumPy, Pandas, SciPy, statsmodels). Experience deploying to AWS (e.g., SageMaker, Bedrock) and operating production workloads with attention to cost, performance, security ...

models to production and supporting them post-deployment. Strong Python programming skills, including object-oriented design and proficiency with key ML libraries (e.g., PyTorch, TensorFlow, Scikit-Learn). Solid understanding of probability and statistical modeling to support robust model development and interpretation. Experience with cloud platforms (especially Azure ...

Marquee platform adoption and ensure clients receive the most relevant, timely, and actionable content. You will utilize technologies including Python (Pandas, Polars, Scikit‐learn, TensorFlow/PyTorch), Jupyter, Trino, SQL, and gain exposure to graph database technologies. RESPONSIBILITIES AND QUALIFICATIONS Responsibilities: Design, build, and maintain robust data pipelines ...

Marquee platform adoption and ensure clients receive the most relevant, timely, and actionable content. You will utilize technologies including Python (Pandas, Polars, Scikit‐learn, TensorFlow/PyTorch), Jupyter, Trino, SQL, and gain exposure to graph database technologies. RESPONSIBILITIES Design, build, and maintain robust data pipelines for feature engineering ...

integrations — with a strong focus on GenAI, NLP, computer vision, and multimodal AI applications. Leverage deep knowledge of AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and enterprise architecture best practices (e.g., microservices, APIs, cloud-native design). AI & Data Platform Architecture/Deployment: Architect robust, secure ...

LLMs, NLP, or computer vision projects Knowledge of AWS, Azure, or GCP Familiarity with Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit-learn Internship, university project, or personal portfolio related to AI/ML What’s on Offer Competitive graduate salary package Company stock ...

above) in Data Science, Machine Learning, Computer Science, Mathematics or a related discipline.Strong Python development experience, including machine learning frameworks such as Hugging Face, TensorFlow and PyTorch.Proven experience delivering machine learning solutions within commercial, research or government environments.Strong understanding of modern AI/ML techniques across areas such ...

Data Science, Machine Learning, Computer Science, Mathematics or a related discipline. Strong Python development experience, including machine learning frameworks such as Hugging Face, TensorFlow and PyTorch. Proven experience delivering machine learning solutions within commercial, research or government environments. Strong understanding of modern AI/ML techniques across areas such ...

such as: Experiment tracking and model registries (MLflow, Weights & Biases, SageMaker Model Registry) Workflow orchestration (Airflow, Prefect, Step Functions) Model serving frameworks (SageMaker, TorchServe, TensorFlow Serving, or similar) Feature stores (Feast, Tecton, or custom‐built) Deep understanding of monitoring and observability for ML systems, including operational metrics, data quality ...

NAACL, ICLR) ) with specific focus on agent systems, tool use, or multi-agent coordination.Familiarity with one or more deep learning frameworks (e.g. pytorch, jax, tensorflow, ...)Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ...).Excellent communication skills to report and present ...

engineering, or data science Hands‐on experience with production ML systems Strong Python skills and experience with tools such as: scikit‐learn, PyTorch, TensorFlow Pandas, NumPy Hugging Face/generative AI tooling Understanding of MLOps, cloud platforms (AWS, Azure, GCP), and SQL A passion for coaching, mentoring, and developing ...

engineering, or data science Hands‐on experience with production ML systems Strong Python skills and experience with tools such as: scikit‐learn, PyTorch, TensorFlow Pandas, NumPy Hugging Face/generative AI tooling Understanding of MLOps, cloud platforms (AWS, Azure, GCP), and SQL A passion for coaching, mentoring, and developing ...

engineering, or data science Hands‐on experience with production ML systems Strong Python skills and experience with tools such as: scikit‐learn, PyTorch, TensorFlow Pandas, NumPy Hugging Face/generative AI tooling Understanding of MLOps, cloud platforms (AWS, Azure, GCP), and SQL A passion for coaching, mentoring, and developing ...

engineering, or data science Hands‐on experience with production ML systems Strong Python skills and experience with tools such as: scikit‐learn, PyTorch, TensorFlow Pandas, NumPy Hugging Face/generative AI tooling Understanding of MLOps, cloud platforms (AWS, Azure, GCP), and SQL A passion for coaching, mentoring, and developing ...

engineering, or data science Hands on experience with production ML systems Strong Python skills and experience with tools such as: scikit learn, PyTorch, TensorFlow Pandas, NumPy Hugging Face/generative AI tooling Understanding of MLOps, cloud platforms (AWS, Azure, GCP), and SQL A passion for coaching, mentoring, and developing ...

engineering, or data science Hands on experience with production ML systems Strong Python skills and experience with tools such as: scikit learn, PyTorch, TensorFlow Pandas, NumPy Hugging Face/generative AI tooling Understanding of MLOps, cloud platforms (AWS, Azure, GCP), and SQL A passion for coaching, mentoring, and developing ...

Amazon Neptune), and vector database Preferred Qualification Hands‐on experience with cloud platforms (AWS, Azure, GCP) Experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Practical experience with NLP and/or Search techniques Prompt engineering, and LLMs ...