76 to 100 of 277 PyTorch Jobs in London

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 ❯

with message brokers (Kafka, SQS/SNS, RabbitMQ). Knowledge of real-time streaming (Kafka Streams, Apache Flink, etc.). Exposure to big-data or machine-learning frameworks (TensorFlow, PyTorch, Hugging Face, LangChain). Experience with real-time streaming technologies (Kafka, Apache Storm). Understanding of infrastructure and DevOps (Terraform, Ansible, AWS, Kubernetes). Exposure to fintech or start-up More ❯

Create automation and tooling that enhance efficiency and insight generation. Promote best practices in data governance and software design. You’ll need: Strong programming skills in Python (NumPy, Pandas, PyTorch, TensorFlow, or Scikit-learn). Experience building data pipelines and working with structured/unstructured data (SQL/NoSQL). Familiarity with the AI/ML model lifecycle from experimentation More ❯

Create automation and tooling that enhance efficiency and insight generation. Promote best practices in data governance and software design. You’ll need: Strong programming skills in Python (NumPy, Pandas, PyTorch, TensorFlow, or Scikit-learn). Experience building data pipelines and working with structured/unstructured data (SQL/NoSQL). Familiarity with the AI/ML model lifecycle from experimentation 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 ❯

in Generative AI with the ability to understand and articulate key concepts. ● Experience working with LLMs, LangChain and other AI technologies. ● Familiarity with machine learning frameworks like TensorFlow or PyTorch is a bonus. — What They Offer: ● Impactful Work: Contribute to a mission-driven company revolutionising adult social care. ● Equity Opportunity: Competitive salary with equity options. ● Growth Potential: Grow into a More ❯

in Generative AI with the ability to understand and articulate key concepts. ● Experience working with LLMs, LangChain and other AI technologies. ● Familiarity with machine learning frameworks like TensorFlow or PyTorch is a bonus. — What They Offer: ● Impactful Work: Contribute to a mission-driven company revolutionising adult social care. ● Equity Opportunity: Competitive salary with equity options. ● Growth Potential: Grow into a More ❯

to improve engagement metrics Requirements Experience in Customer Marketing Data Science, including applied statistics and machine learning Proficiency in Python and ML libraries (e.g. pandas, numpy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks Experience with ML Ops, including deployment and monitoring Ability to work cross-functionally with marketing, CRM, and engineering More ❯

to improve engagement metrics Requirements Experience in Customer Marketing Data Science, including applied statistics and machine learning Proficiency in Python and ML libraries (e.g. pandas, numpy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks Experience with ML Ops, including deployment and monitoring Ability to work cross-functionally with marketing, CRM, and engineering More ❯

degree (Computer Science, Engineering, Data Science, or related discipline). Hands-on experience building, deploying, and managing AI/ML models and internal AI tools. Experience with Python, TensorFlow, PyTorch, cloud platforms (AWS/GCP/Azure), and data pipelines. Excellent problem-solving, analytical, and strategic thinking skills. Strong communication skills and the ability to collaborate across technical and business More ❯

degree (Computer Science, Engineering, Data Science, or related discipline). Hands-on experience building, deploying, and managing AI/ML models and internal AI tools. Experience with Python, TensorFlow, PyTorch, cloud platforms (AWS/GCP/Azure), and data pipelines. Excellent problem-solving, analytical, and strategic thinking skills. Strong communication skills and the ability to collaborate across technical and business 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 ❯

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 ❯

and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models, including building and deploying APIs Strong visualization and communication skills , with the ability to translate complex technical findings into actionable insights for coaches More ❯

and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models, including building and deploying APIs Strong visualization and communication skills , with the ability to translate complex technical findings into actionable insights for coaches More ❯

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 ❯

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 ❯

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 ❯

systems and enhance production systems. You should apply for this role if you are/have: 10+ years software engineering/quantitative development within financial markets Excellent Python (NumPy, PyTorch, TensorFlow, Scikit); solid OO background in C++, Java or C# Strong MLOps and AI/ML model lifecycle experience Strong financial product knowledge and experience delivering solutions for trading/ More ❯

systems and enhance production systems. You should apply for this role if you are/have: 10+ years software engineering/quantitative development within financial markets Excellent Python (NumPy, PyTorch, TensorFlow, Scikit); solid OO background in C++, Java or C# Strong MLOps and AI/ML model lifecycle experience Strong financial product knowledge and experience delivering solutions for trading/ More ❯

AI/ML platforms . ✅ Strong expertise in Snowflake and MongoDB for data modeling and integration. ✅ Hands-on experience with Azure, AWS, or GCP cloud ecosystems. ✅ Deep proficiency in PyTorch, TensorFlow, or Scikit-learn . ✅ Understanding of MLOps, LLMOps , and modern data engineering best practices. Why Ascendion? At Ascendion, we combine human creativity and technology excellence to build the future More ❯

Deep knowledge of ML/statistical methods (e.g. supervised/unsupervised, Bayesian, time-series). ⚙️Strong Python skills with core libraries (NumPy, Pandas, Scikit-Learn) plus deep learning frameworks (PyTorch, TensorFlow). 🚀Strong leadership in project delivery, architecture, and technical decision-making. 💡Excellent communicator, able to simplify complex ideas for any audience. 📈Strategic thinker with awareness of FS sector trends. More ❯

Deep knowledge of ML/statistical methods (e.g. supervised/unsupervised, Bayesian, time-series). ⚙️Strong Python skills with core libraries (NumPy, Pandas, Scikit-Learn) plus deep learning frameworks (PyTorch, TensorFlow). 🚀Strong leadership in project delivery, architecture, and technical decision-making. 💡Excellent communicator, able to simplify complex ideas for any audience. 📈Strategic thinker with awareness of FS sector trends. More ❯

Data Science, or AI (Master’s or PhD preferred). 5+ years’ experience developing and deploying ML models in production environments. Strong Python skills, with experience in frameworks like PyTorch, TensorFlow, or Hugging Face. Confident working in AWS or similar cloud environments (SageMaker, Lambda, Docker, etc.). Experienced in (or eager to explore) areas such as forecasting, optimisation, reinforcement learning More ❯