251 to 275 of 891 PyTorch Jobs in the UK

communications for technical and non-technical audiences Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based ...

Masters degree in a STEM field (maths, science, engineering etc.) or equivalent Strong programming skills in Python (e.g., NumPy, Pandas, scikit-learn, TensorFlow/PyTorch). Demonstrable experience in creating and developing Python libraries. Demonstrable experience designing, implementing and training machine learning models from scratch. Strong foundations in applied mathematics ...

Skills & Experience BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have an established track record of delivering ML solutions to customers and internal stakeholders. Demonstrate deep understanding of AI/ML algorithms for different ...

delivery.Required Skills & Experience BSc in Machine Learning, Data Science, Computer Science, Mathematics or related fieldExperience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch).Have an established track record of delivering ML solutions to customers and internal stakeholders.Demonstrate deep understanding of AI/ML algorithms for different data types ...

delivery.Required Skills & Experience BSc in Machine Learning, Data Science, Computer Science, Mathematics or related fieldExperience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch).Have an established track record of delivering ML solutions to customers and internal stakeholders.Demonstrate deep understanding of AI/ML algorithms for different data types ...

robust model development and interpretation. Proficiency in Object-Oriented programming in Python with expertise in key data science and machine learning libraries (e.g. TensorFlow, PyTorch and Scikit-Learn). Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices, ensuring seamless and scalable delivery. Proven ability ...

support robust model development and interpretation.Proficiency in Object-Oriented programming in Python with expertise in key data science and machine learning libraries (e.g. TensorFlow, PyTorch and Scikit-Learn).Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices, ensuring seamless and scalable delivery.Proven ability to establish ...

quality measurementEmbeddings, reranking, and retrieval orchestrationEvaluation datasets, benchmarking, and annotation workflowsAdvanced programming skills in Python.Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack).Experience working with large-scale datasets, distributed data/ML platforms, and production AI systems.Strong understanding of statistical analysis, experimentation ...

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). Graph Neural Networks (GNNs): Strong experience applying GNNs, knowledge ...

. Multimodal Pipelines - Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services. Advanced AI/ML Frameworks - Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms like Google Vertex AI or AWS Sagemaker. Unleash Your Potential When you join Salesforce, you’ll be limitless ...

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 applying GNNs, knowledge ...

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). Graph Neural Networks (GNNs): Strong experience applying GNNs, knowledge ...

Salesforce Flows).Multimodal Pipelines - Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services.Advanced AI/ML Frameworks - Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms like Google Vertex AI or AWS Sagemaker.Unleash Your PotentialWhen you join Salesforce, you’ll be limitless in all areas ...

with message buses (Kafka, ZeroMQ) and asynchronous I/O (e.g. tokio)Knowledge of statistical/ML libraries and tooling (NumPy, pandas, scikit‐learn, PyTorch); experience shipping inference in production.Experience with cloud or on‐prem orchestration and scheduling (Kubernetes, Ray, HTCondor, SLURM).BenefitsTower’s headquarters are in the historic Equitable ...

trustworthy Engineer features and datasets for model training, evaluation, and retrieval Develop, fine‐tune, and evaluate machine learning models using frameworks such as PyTorch, TensorFlow, or scikit‐learn Deploy models into production as APIs or services, with attention to latency, cost, scalability, and reliability Design and implement RAG (Retrieval‐Augmented … advanced querying, modelling, and optimisation Data pipelines & orchestration – Airflow, Prefect, Dagster, or dbt Data warehouses/lakes – BigQuery, Snowflake, Redshift, or Databricks ML frameworks – PyTorch, TensorFlow, or scikit‐learn LLM & AI tooling – OpenAI, Anthropic; LangChain or LlamaIndex Agentic AI – LangGraph, LangChain Agents, AutoGen, or CrewAI; tool/function calling, orchestration ...

machine learning 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 ...

detail Nice to have: experience with big data tools or distributed data systems, familiarity with ML frameworks such as scikit-learn, TensorFlow, and PyTorch, knowledge of data warehousing concepts and modern data stack tools, exposure to DevOps practices, CI/CD, or infrastructure-as-code, experience in fast-paced ...

with PostgreSQL. Experience working with AI/ML technologies, particularly ASR, TTS, LLMs, or related tooling, is highly desirable. AWS, Terraform, Kubernetes, Hugging Face, PyTorch/TensorFlow, or Generative AI tooling would be advantageous. Strong communication, stakeholder management, analytical, and problem-solving skills. Comfortable taking ownership and working ...

Vector databases and retrieval MLOps and production deployment AI evaluation, testing and observability AI governance, model risk and engineering controls ML frameworks such as PyTorch, TensorFlow or Scikit‐learn Experience operating in complex, regulated or high‐risk environments would be particularly valuable. More important than any individual technology ...

refine problem statements and propose solutions considering effort, impact, and scalability trade-offs; Nice to have: Apache Spark, Iceberg, Kafka, dbt, Scikit-Learn, XGBoost, PyTorch, MLFlow, GraphFrames, Ray, AWS S3, EMR, SageMaker, Lakeformation, Terraform, Docker, GitHub CI/CD, Knowledge Graphs, RAG, graph ML, probabilistic programming, A/B testing. ...

including Agents, reasoning models, and RAG Have high-level familiarity with the architecture and operation of large language models Have personally implemented models in PyTorch, Jax, or TensorFlow Have a strong foundation in data structures, algorithms, and software engineering principles Exhibit excellent problem-solving and analytical skills with a proactive ...

modern software engineering practices Machine Learning/Deep Learning MLOps and production ML systems Cloud platforms and scalable infrastructure ML frameworks such as PyTorch, TensorFlow or equivalent LLMs/Generative AI is highly desirable CI/CD, Docker, Kubernetes or similar technologies Designing and operating production-scale ML platforms ...

Vector databases and retrieval MLOps and production deployment AI evaluation, testing and observability AI governance, model risk and engineering controls ML frameworks such as PyTorch, TensorFlow or Scikit-learn Experience operating in complex, regulated or high-risk environments would be particularly valuable. More important than any individual technology ...

strong focus on Generative AI in production environments Deep understanding of AI/ML frameworks (e.g., Langchain, Semantic Kernel/Agents Framework, TensorFlow, PyTorch, Hugging Face with a preference for Agentic frameworks) and model lifecycle management Hands‐on experience with cloud platforms (Azure preferred; AWS or GCP also considered) Strong ...

building data pipelines and working with both structured and unstructured dataKnowledge of AI, machine learning or generative AI technologiesExposure to frameworks such as TensorFlow, PyTorch, LangChain or similarExperience working with cloud based data platforms and modern data architecturesStrong analytical and problem-solving skillsExcellent communication skills with the ability to engage ...