76 to 100 of 256 TensorFlow Jobs in the UK

Snowflake. Comfortable implementing custom (in-house) data solutions where off-the-shelf products are unavailable or unsuitable. Bonus: Advanced LookML knowledge. Experience using Pandas (TensorFlow, Scikit-learn, Matplotlib). DevOps practices Docker and Kubernetes. Understanding of data science concepts. Professional experience or a degree in a quantitative field, such ...

Representation Learning: Deep understanding of embedding generation, deep semantic retrieval, and multi-modal representation learning. Technical Stack: Mastery of Python and deep learning frameworks (TensorFlow, PyTorch) alongside hands‐on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP). Desired Graph Neural Networks (GNNs): Strong experience ...

Surfer SEO) AI & Machine Learning Experience applying NLP, clustering or predictive modelling to SEO or marketing data Familiarity with frameworks like scikit-learn, spaCy, TensorFlow or Hugging Face Nice to Have Strong SQL skills for data extraction and transformation Experience with Git, CI/CD and cloud deployment Python ...

models on Databricks. Familiarity with cloud‐based application development (AWS & Azure). Familiarity with one or more ML frameworks and technologies: scikit‐learn, xgboost, TensorFlow, PyTorch, Spark, SageMaker, Vertex AI, Kubeflow, Seldon, Triton. Strong communication skills, able to express ideas clearly and collaborate across teams. #J-18808-Ljbffr ...

across the AI/ML lifecycle, from data exploration and prototyping to deployment and operational suppo rt.Familiarity with machine learning frameworks such as PyTorch, TensorFlow, Scikit-learn, or Hugging Fa ce.Experience working with cloud platforms including AWS, Azure, or G CP.Understanding of MLOps practices, model evaluation, and scalable ...

Writing maintainable and reusable code Hands-on experience developing, tuning, and deploying machine learning models using frameworks and libraries such as: Scikit-learn XGBoost TensorFlow PyTorch Equivalent machine learning frameworks Strong analytical and problem-solving capabilities with a scientific and data-driven mindset. Ability to translate complex technical concepts ...

familiarity with good software engineering practices. Excellent written and verbal communication. Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit‐learn. Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus. Collaborative, humble and enthusiastic attitude. Preferred Qualifications, Capabilities ...

familiarity with good software engineering practices Excellent written and verbal communication Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit-learn Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus Collaborative, humble and enthusiastic attitude Preferred qualifications, capabilities ...

equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable: Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines Experience working with hardware simulators or emulators (e.g. QEMU). ...

programming skills in Python , Rust, or similar; and strong software engineering fundamentals building performant and reliable systems. Proficient in deep learning frameworks (Pytorch, JAX, TensorFlow). You can work on different layers of the stack from low-level training backends, data ingestion to ML/RL algorithmic design ...

demonstrating breadth of knowledge to solve almost any problem. You possess strong Python skills and practical experience operationalising models using frameworks like Scikit-learn, TensorFlow, or PyTorch. You are an expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS) and have led teams to build ...

learning and generative AI methods for supervised, self‐supervised and unsupervised learning with an emphasis on vision. Proficiency with deep learning frameworks such as TensorFlow/PyTorch. Proficiency with Python and strong software development background. Knowledge and experience with AWS is highly desirable. Experience with MLOps practices, including versioning ...

tier conferences or journals. Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system. Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches ...

with cross‐functional teams and mentor junior engineers. Tools: Microsoft Fabric, Azure ML, MLflow, Spark, Python, SQL, CI/CD, and ML frameworks like TensorFlow, PyTorch, Scikit‐learn. Scope: End‐to‐end AI/ML solutions for multi‐product, multi‐region strategy. Report To: Head of Data Science/… tools such as Apache Spark, Azure Data Factory, GIT, Python and SQL. Skilled in developing, training and deploying machine learning models with frameworks like TensorFlow, PyTorch or Scikit‐learn. Strong understanding of data modelling, data governance, security and responsible AI practices. Excellent problem‐solving skills and the ability ...

research environments. Strong understanding of Machine Learning techniques and architectures, including Generative AI, Transformers and neural networks. Python and common Data Science libraries. TensorFlow, PyTorch or similar machine learning frameworks. AWS, Azure or Google Cloud AI and Data Science services. Ability to work effectively with technical and non-technical ...

research environments. Strong understanding of Machine Learning techniques and architectures, including Generative AI, Transformers and neural networks. Python and common Data Science libraries. TensorFlow, PyTorch or similar machine learning frameworks. AWS, Azure or Google Cloud AI and Data Science services. Ability to work effectively with technical and non-technical ...

research environments. Strong understanding of Machine Learning techniques and architectures, including Generative AI, Transformers and neural networks. Python and common Data Science libraries. TensorFlow, PyTorch or similar machine learning frameworks. AWS, Azure or Google Cloud AI and Data Science services. Ability to work effectively with technical and non-technical ...

cloud environments. Strong knowledge of Google Cloud Platform, with exposure to cloud-based machine learning services. Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Knowledge of pipeline orchestration and data workflow tools such as Airflow, Dataform, or dbt. Experience delivering advanced measurement and modelling solutions ...

Java A strong background in the mathematical foundations of core ML algorithms, paired with hands‐on experience using deep learning frameworks (PyTorch, JAX, TensorFlow), agentic orchestration ecosystems (LangGraph, Google ADK), and Model Context Protocol tooling (RustMCP) Strong written and verbal communication skills to document your work effectively and present ...

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 ...

management Requirements Python AWS LangChain LangGraph Retrieval Augmented Generation (RAG) Vector databases MLOps Production Machine Learning platforms AI governance and engineering best practice PyTorch, TensorFlow or Scikit-learn Contract £750-900 per day (inclusive) Initial 6 months with long-term programme roadmap Inside IR35 London (3 days per week ...

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 ...

experience in: Python AWS LangChain LangGraph Retrieval Augmented Generation (RAG) Vector databases MLOps Production Machine Learning platforms AI governance and engineering best practice PyTorch, TensorFlow or Scikit-learn More important than individual technologies is your ability to design robust, scalable AI systems and influence engineering standards across multiple product ...

Computer Science or a closely related discipline Strong software development experience using Python Hands-on experience with Machine Learning frameworks such as PyTorch or TensorFlow Experience working with Large Language Models (LLMs), Knowledge Graphs, Graph Machine Learning or Natural Language Processing Experience developing AI prototypes, proof-of-concept solutions ...

/ML Engineers build, evaluate, and deploy machine‐learning systems at scale. The day‐to‐day work combines data preprocessing, model training (PyTorch, TensorFlow), evaluation against business or research metrics, and production deployment (FastAPI, Triton, Ray) with monitoring. The role increasingly overlaps with MLOps (model deployment, monitoring, retraining infrastructure ...