226 to 250 of 486 TensorFlow Jobs in the UK

technical depth Who we’re looking for: You understand the full ML lifecycle and have significant experience operationalising models built with frameworks like TensorFlow or PyTorch You bring deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems You have demonstrable hands-on experience ...

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 ...

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/ ...

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/ ...

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/ ...

trade‐offs in production systems* **Solid grounding in ML/DL concepts**, with hands‐on experience applying frameworks such as **PyTorch and/or TensorFlow**, including embeddings and model fine‐tuning where appropriate* **Experience deploying and operating production Gen AI systems**, leveraging **Docker, cloud**‐**native architecture, production APIs ...

GenAI concepts, machine learningtechniques, and Python programming, with strong familiarity with the NumPyecosystem. Industry Knowledge & Experience Desirable hands-on experience with leading AIframeworks (e.g. TensorFlow, PyTorch) Familiarity with cloud platforms (AWS, GCP,Azure) Experience working with AI/ML engineers, datascientists, and other data professionals Wider Requirements Passion ...

report what the results do and don’t show Strong Python skills and hands‐on experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, PyTorch or Keras Solid grounding in modern software engineering, infrastructure and data tooling, and an understanding of the MLOps challenges across the full ...

report what the results do and don’t show Strong Python skills and hands‐on experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, PyTorch or Keras Solid grounding in modern software engineering, infrastructure and data tooling, and an understanding of the MLOps challenges across the full ...

AnalysisRequirementsMS or Ph.D. in Computer Science, Mathematics, or a related fieldStrong programming skills in Python, and relevant ML and GenAI libraries (e.g., langchain, langgraph, TensorFlow, PyTorch, scikit-learn)Hands-on experience evaluating pre-trained models, and fine tuning or training modelsExperience in the recent developments of Agentic Architecture Excellent ...

trade‐offs in production systems Solid grounding in ML/DL concepts, with hands‐on experience applying frameworks such as PyTorch and/or TensorFlow, including embeddings and model fine‐tuning where appropriate Experience deploying and operating production Gen AI systems, leveraging Docker, cloud‐native architecture, production APIs ...

equivalent. Experience with machine learning, deep learning, NLP, and computer vision. Proficiency in Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. Excellent problem-solving skills and ability to work in a team environment. Thorough and proven ...

equivalent. Experience with machine learning, deep learning, NLP, and computer vision. Proficiency in Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. Excellent problem-solving skills and ability to work in a team environment. Thorough and proven ...

experience leading or managing a data science team. Proficiency in programming languages such as Python, R, and SQL.Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).Expertise in data manipulation, analysis, and visualization tools (e.g., Pandas, Matplotlib, Tableau).Experience with cloud platforms (e.g., AWS, GCP, Azure ...

statistical modeling or machine learning to large-scale datasets Strong proficiency in Python and scientific computing libraries (NumPy, pandas, SciPy, scikit‐learn, PyTorch or TensorFlow) Demonstrated experience designing and analyzing controlled experiments (A/B testing, causal inference, hypothesis testing) Experience working with distributed data systems (Spark, Ray, Dask ...

solve complex business problems. Job Description ✔️ Design and implement machine learning and AI algorithms for enterprise applications. ✔️ Build and train deep learning models using TensorFlow or PyTorch. ✔️ Process and analyze large-scale structured and unstructured datasets. ✔️ Apply natural language processing (NLP) and computer vision techniques. ✔️ Integrate AI solutions into ...

willingness to explore how it can enhance your day-to-day work. Technologies and Tools Python Machine learning frameworks (e.g. PyTorch, TensorFlow, scikit-learn) ML/MLOps tooling (e.g. SageMaker, MLflow, TFServing) Spark and Databricks AWS services (e.g. IAM, S3, Redis, ECS) CI/CD tooling and best practices ...

models that solve complex, real-world problemsDeep understanding of machine learning concepts and experience applying them in production settings, using frameworks such as PyTorch, TensorFlow, or gradient boosting librariesExperience with causal inference, uplift modelling, or optimisation under constraints, and comfort reasoning about decisions rather than predictions aloneStrong Python skills ...

external partners like Google DeepMind. Skills and qualifications EssentialAI/ML Engineering: Deep conceptual and practical understanding of deep learning frameworks (e.g., JAX, PyTorch, TensorFlow), large-scale cloud training or inference infrastructure, and LLM ecosystems. Adversarial ML Mindset: Strong familiarity with AI security threat vectors (prompt injection, model inversion ...

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 ...

leading university, AAB at A-Level Published papers Good understanding of software engineering concepts Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn Data Science experience including working with large data sets Responsibilities for Machine Learning Research Engineer: Join a team responsible for investigating ...

leading university, AAB at A-Level Published papers Good understanding of software engineering concepts Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn Data Science experience including working with large data sets Responsibilities for Machine Learning Research Engineer Join a team responsible for investigating ...

Recommendation, or Time Series Analysis Knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics Understanding of machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn Strong programming knowledge of Python and Spark; proficiency in vector operations using numpy, scipy; experience with distributed computation using ...

leading university, AAB at A-Level Published papers Good understanding of software engineering concepts Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit‐Learn Data Science experience including working with large data sets Responsibilities for Machine Learning Research Engineer Join a team responsible for investigating ...

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 ...