101 to 125 of 391 PyTorch Jobs in London

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 multithreading ...

security Preferred qualifications, capabilities, and skills Proficiency in Go or Terraform for automation, tooling development, or platform service implementation. Working knowledge of ML frameworks (PyTorch, TensorFlow, Hugging Face, scikit-learn) for model integration and operationalization. Exposure to multi‐cloud or hybrid cloud architectures and platform portability strategies. #J-18808-Ljbffr ...

LLMs for enterprise-scale applications. Hands-on experience with cloud platforms (AWS, Azure, GCP) Well-versed in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Strong collaboration skills with the ability to work across engineering, research, and product teams across ...

experience in Software Engineering, Test Automation, AI Engineering, or Data Engineering Strong proficiency in Python and data/AI libraries (e.g., pandas, numpy, PyTorch or similar) Solid understanding of LLMs, NLP concepts, or generative AI systems Experience with test automation frameworks (e.g., PyTest, Playwright) and CI/CD pipelines Familiarity ...

deep-learning projects at high data volume in commercial environments, owning deployment, CI/CD, monitoring and lifecycle management. Strong Python: Solid Python with PyTorch or similar ML frameworks. Model evaluation: You diagnose why models underperform across data, features and architecture, and make reasoned trade-offs. Real-time ML & reproducibility ...

Hands-on experience and solid understanding of machine learning and deep learning methods Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumP da, Scikit-Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned ...

applied ML . Strong experience with computer vision and generative/LLM systems . Proficiency in Python, NoSQL (MongoDB), and frameworks such as PyTorch or TensorFlow. Based in London or willing to travel to Hammersmith at least 2/3 days per week. Bonus Points Experience with automated valuation models. ...

Working knowledge of AI/ML algorithms, statistical modeling, and scalable data processing pipelines Proficiency with Python-based machine learning libraries such as TensorFlow, PyTorch, and scikit-learn Familiarity with orchestration frameworks (for example, LangGraph) and agent design patterns Strong written and verbal communication skills with the ability to explain ...

Finance, securities lending, or inventory management. Familiarity with revenue and yield management strategies. Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Knowledge of optimization libraries and techniques (e.g., Gurobi, CPLEX, linear/nonlinear programming). Track record of publishing research or presenting at industry conferences. ...

essential An understanding of biology, or experience in bioinformatics or another scientific domain. Experience with NLP, Generative AI, Agentic system, frameworks such as PyTorch or Hugging Face, or cloud platforms such as Azure or AWS, depending on the project. We welcome candidates from pharma, biotech, IT and research institutes. What ...

experience with modern AI/LLM ecosystems, including Retrieval-Augmented Generation (RAG), and familiarity with open-source frameworks such as LangChain, Hugging Face, or PyTorch, along with a solid understanding of how to work with and deploy Large Language Models (LLMs). Familiarity with core data concepts such as data ...

range of machine learning techniques to real-world business problems, including using models such as XGBoost and deep learning approaches using frameworks such as PyTorch or TensorFlow, taking solutions from experimentation through to production deployment and operation.* Strong knowledge of model governance, explainability, traceability, auditability, SHAP, Model Cards, and model ...

Master’s/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python or C++ software development skills. Expertise in deep learning from model training to optimisation and evaluation. Experience in distributed training ...

Estimation, Optimization and Scenarios simulation Solid experience with Probabilistic Programming and Bayesian Methods Experience using machine learning frameworks such as scikit-learn, Pymc, TensorFlow, PyTorch, Databricks ML, Keras etc..., Experience with ML at scale Experience coordinating projects across diverse teams. Proven attention to detail, critical thinking, and the ability ...

proper pull-request workflow. Document what you build and raise the engineering standard around you. Requirements Essential Expert Python, with deep hands-on PyTorch experience (TensorFlow also welcome) and the surrounding ecosystem: Hugging Face Transformers, timm, scikit-learn, NumPy, pandas, OpenCV. Production experience on AWS, specifically Amazon SageMaker: training ...

experience in software engineering or ML engineering — through professional roles, internships, or coursework/research projects Strong Python skills and familiarity with libraries like PyTorch, Hugging Face, LangChain, or OpenAI APIs Solid understanding of data pipelines, APIs, and production deployment (e.g., Docker, FastAPI, GCP/AWS) Experience building usable systems ...

lexical, vector, hybrid)Evaluation methodologies for IR and generative AI systemsAdvanced programming skills in PythonExperience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph , Haystack)Experience working with Databricks or similar distributed data/ML platformsStrong understanding of experimentation design, evaluation frameworks, and statistical analysisProficiency ...

prediction market platforms (Polymarket, Manifold, etc.) Quantitative background in maths, statistics, or probability theory ML experience including random forests, regression models, scikit-learn, and PyTorch AWS infrastructure experience deploying containerised applications and managing cloud environments (EC2, Lambda, RDS) Open-source contributions to AI or crypto projects Compensation Salary ...

about AI and a 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 ...

scaling 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 ...

cross-functional teams. Desirable Experience Experience with any of the following would be highly advantageous: Large Language Models (LLMs) Amazon Bedrock Azure AI Foundry PyTorch FastAPI Knowledge Graphs Kubernetes Docker Infrastructure as Code MLOps Event-Driven Architecture Vector Databases Retrieval-Augmented Generation (RAG) Technology Stack Python SQL FastAPI PyTorch Docker ...

academic publications Required Expertise/Skills: Proficiency in programming languages such as Python Experience with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch) Strong understanding of image analysis and computer vision techniques Data preprocessing, model development, and evaluation skills Analytical thinking and problem-solving ability Scientific writing and communication ...

Vision Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Extensive experience with pytorch, numpy, pandas Hands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.) Able to communicate ...

self-directed way. Nice to have Cloud platform experience (AWS, GCP, Azure) DevOps: CI/CD, containers, infrastructure as code Python, particularly with NumPy, PyTorch, or Transformers Any exposure to serving or scaling ML models What we offer Ownership of key infrastructure from day one. Meaningful equity in the company. ...

tools or similar domains. Strong publication record in top‐tier AI conferences (e.g., NeurIPS, ICML, ICLR). Expertise in deep learning frameworks such as PyTorch or TensorFlow. Proficiency in Python and experience with large‐scale data processing. Familiarity with cloud computing platforms (e.g., AWS, Google Cloud). Excellent communication skills ...