201 to 225 of 760 PyTorch Jobs in England

MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). • Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch). • Proven ability to assess or design organizational processes for data science delivery and model management. • Excellent analytical and communication skills, with the ability to synthesize technical observations into actionable More ❯

learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross-functionally with marketing, CRM More ❯

learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross-functionally with marketing, CRM More ❯

learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross-functionally with marketing, CRM More ❯

learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross-functionally with marketing, CRM More ❯

learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross-functionally with marketing, CRM More ❯

quality, reliability, and efficient pipelines. • Deliver predictive, recommendation, or optimization models aligned with business goals. • Contribute to team knowledge sharing and uphold high standards in Python, using TensorFlow or PyTorch in production contexts. Your Profile • Ideally holding a Ph.D. in Computer Science, Electrical/Electronic Engineering, Applied Mathematics, AI/Data Science, IT (or related field), or equivalent industry experience. More ❯

quality, reliability, and efficient pipelines. • Deliver predictive, recommendation, or optimization models aligned with business goals. • Contribute to team knowledge sharing and uphold high standards in Python, using TensorFlow or PyTorch in production contexts. Your Profile • Ideally holding a Ph.D. in Computer Science, Electrical/Electronic Engineering, Applied Mathematics, AI/Data Science, IT (or related field), or equivalent industry experience. More ❯

and guidance. Desirable: Exposure to courses related to Artificial Intelligence, Machine Learning, or Natural Language Processing Familiarity with frameworks like Express.js, Flask, or NestJS Familiarity with libraries like TensorFlow, PyTorch, or scikit-learn Basic understanding of Amazon Web Services Culture: Coffee and snacks in the office Team socials Inclusive working environment, supporting all genders, sexualities, race, disability or background Join More ❯

and guidance. Desirable: Exposure to courses related to Artificial Intelligence, Machine Learning, or Natural Language Processing Familiarity with frameworks like Express.js, Flask, or NestJS Familiarity with libraries like TensorFlow, PyTorch, or scikit-learn Basic understanding of Amazon Web Services Culture: Coffee and snacks in the office Team socials Inclusive working environment, supporting all genders, sexualities, race, disability or background Join More ❯

and guidance. Desirable: Exposure to courses related to Artificial Intelligence, Machine Learning, or Natural Language Processing Familiarity with frameworks like Express.js, Flask, or NestJS Familiarity with libraries like TensorFlow, PyTorch, or scikit-learn Basic understanding of Amazon Web Services Culture: Coffee and snacks in the office Team socials Inclusive working environment, supporting all genders, sexualities, race, disability or background Join More ❯

Working with Data 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 ideally with one of the 3 major cloud More ❯

Working with Data 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 ideally with one of the 3 major cloud More ❯

Working with Data 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 ideally with one of the 3 major cloud More ❯

in Artificial Intelligence. Skills, Knowledge, and Experience Technical proficiency You write production-grade, scalable Python code, ensuring that your models are robust, maintainable, and optimised for performance. Comfortable with PyTorch Knowledge of Transformer-based models Knowledge of Large Language Models (LLMs) Proven experience of having delivered successful machine learning projects into production Strong understanding of software development fundamentals, in particular More ❯

to learn others. Knowledge of AWS or similar cloud providers. Understanding Software Engineering techniques and processes. Strong interpersonal, communication, and presentation skills applicable to a wide audience. Knowledge of PyTorch, Scikit-learn, Azure Pipelines, Databricks, and AWS CDK is desirable, but not essential. Experience of participation in software engineering efforts for AI-enabled SaaS products is desirable, but not essential.Join More ❯

/ML tools like Hugging Face, LangChain, or PyTorch. Tech Stack: Python/JavaScript (Node.js) Docker/Kubernetes Azure/GitHub Actions RESTful APIs/Microservices Hugging Face, LangChain, PyTorch Unfortunately, no sponsorship is available at this time. More ❯

/ML tools like Hugging Face, LangChain, or PyTorch. Tech Stack: Python/JavaScript (Node.js) Docker/Kubernetes Azure/GitHub Actions RESTful APIs/Microservices Hugging Face, LangChain, PyTorch Unfortunately, no sponsorship is available at this time. More ❯

/ML tools like Hugging Face, LangChain, or PyTorch. Tech Stack: Python/JavaScript (Node.js) Docker/Kubernetes Azure/GitHub Actions RESTful APIs/Microservices Hugging Face, LangChain, PyTorch Unfortunately, no sponsorship is available at this time. More ❯

product teams Optimise big data and cloud infrastructure (Azure/GCP) Requirements: 3+ years in data engineering or MLOps Strong Python and exposure to ML/AI libraries (e.g. PyTorch, HuggingFace) Proficient with Airflow, DBT, Docker, Kubernetes Cloud deployment experience (Azure preferred) Backend/API development experience with client-facing exposure Interested? Please apply below. More ❯

AI governance and risk Required Skills & Experience Production experience with Generative AI, LLMs, NLP, and RAG systems Strong knowledge of Knowledge Graphs and semantic technologies Proficient in Python, SQL, PyTorch/TensorFlow Experience with DevOps, CI/CD, DevSecOps and secure ML pipelines. Proven experience in AI/ML/Data science leadership with measurable business impact. Degree in Computer More ❯

AI governance and risk Required Skills & Experience Production experience with Generative AI, LLMs, NLP, and RAG systems Strong knowledge of Knowledge Graphs and semantic technologies Proficient in Python, SQL, PyTorch/TensorFlow Experience with DevOps, CI/CD, DevSecOps and secure ML pipelines. Proven experience in AI/ML/Data science leadership with measurable business impact. Degree in Computer More ❯

AI governance and risk Required Skills & Experience Production experience with Generative AI, LLMs, NLP, and RAG systems Strong knowledge of Knowledge Graphs and semantic technologies Proficient in Python, SQL, PyTorch/TensorFlow Experience with DevOps, CI/CD, DevSecOps and secure ML pipelines. Proven experience in AI/ML/Data science leadership with measurable business impact. Degree in Computer More ❯

instruments, derivatives, and risk management principles, with experience applying ML in trading, pricing, or risk analytics contexts. Technical Proficiency - Expert in Python and familiar with ML frameworks such as PyTorch, TensorFlow, and JAX. Skilled in using tools like scikit-learn, XGBoost, and LightGBM. Data Engineering & Infrastructure Skills - Comfortable working with big data technologies (Spark, Dask), SQL/NoSQL databases, and More ❯

domain trends. Skills & Experience: - Demonstrated hands-on experience building production AI/LLM applications. - Strong Python, API design, asynchronous programming, and integration skills. - Experience with ML/LLM frameworks (PyTorch, TensorFlow, scikit-learn, LangChain/LangGraph, LlamaIndex). - Familiarity with cloud deployment (Azure), CI/CD, Infrastructure as Code, and MLOps best practices. - Knowledge of databases, vector search, and knowledge More ❯