126 to 150 of 386 PyTorch Jobs in London

learn), with experience building, training, and deploying ML models. Strong technical capability in key data science and AI languages and frameworks such as R, PyTorch, TensorFlow, Java, LangGraph and modern model development toolkits Knowledge of Apprenticeships and work-based learning, or knowledge of Higher Education. Understanding of equity and diversity ...

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 ...

Python and SQL. Expert-level experience with the Python data stack (pandas, NumPy, scikit-learn) and at least one major ML framework (such as PyTorch or XGBoost/LightGBM) Systemic Problem Solving: Ability to work on unique issues requiring conceptual thinking and broad impact. You know how to build ...

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 ...

Rust, C++ or Java A strong background in the mathematical foundations of core ML algorithms, paired with hands‐on experience using deep learning frameworks (PyTorch, JAX, TensorFlow), agentic orchestration ecosystems (LangGraph, Google ADK), and Model Context Protocol tooling (RustMCP) Strong written and verbal communication skills to document your work effectively ...

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 ...

tier conferences or journals. Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system. Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches ...

experience) applying 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 ...

Years of machine learning experience; Experience working in research or experimental environments with evolving requirements; Proficiency with modern deep learning libraries and frameworks, including PyTorch and HuggingFace; Experience with computational geometry and 3D data, such as meshes and B-Rep models; Experience working with diverse data representations, including ...

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 ...

latency, throughput, scalability and cost. Direct development experience with FFmpeg or GStreamer. Experience with GPU-accelerated video or AI technologies such as CUDA, PyTorch, TensorRT, Triton Inference Server or NVIDIA DeepStream. #J-18808-Ljbffr ...

stakeholders Stay current with advancements in LLMs, VLMs, and related fields Requirements: Technical skills: Strong programming skills (Python, Git) Expertise in deep learning frameworks (PyTorch, JAX, TensorFlow) Experience with large-scale distributed training of LLMs and VLMs Hands‐on experience with LLM training, alignment, and reinforcement learning Knowledge of multimodal ...

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. ...

engineering, with strong proficiency in C#, Node.JS, Databases (SQL, NoSQL) and 2+ years of experience working with AI/ML technologies, frameworks (e.g., TensorFlow, PyTorch), and developing machine learning models with Python. Strong problem-solving skills and the ability to break down complex challenges into manageable, actionable tasks. An interest ...

manipulate large financial data sets for empirical research and handle complex Experience with machine learning software libraries such as scikit‐learn, TensorFlow or PyTorch Experience with natural language processing technology, including LLMs and prompt engineering is a plus Strong quantitative skills with demonstrated understanding of mathematics, probability, statistics and linear ...

skills, with FastAPI for service development, Postgres (or similar) for data persistence, and comfort with event-driven, async architectures. Working knowledge of ML frameworks (PyTorch, TensorFlow), containerisation with Docker and Kubernetes, and cloud platforms (AWS preferred). Mindset: Entrepreneurial, ownership-driven, and biased to action, with a "Build Fast, Fail ...

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. ...

technical methods to non-technical stakeholders Strong programming experience in Python and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain). R and C++ optional. Experience with version control (GitHub) ML experience with causality, Bayesian statistics & optimization, survival analysis, design ...

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 ...

related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch preferred) Familiarity with large-scale machine learning, particularly in the context of language models Ability to balance research goals with practical engineering constraints Strong problem ...

skills, with FastAPI for service development, Postgres (or similar) for data persistence, and comfort with event-driven, async architectures. Working knowledge of ML frameworks (PyTorch, TensorFlow), containerisation with Docker and Kubernetes, and cloud platforms (AWS preferred). Think in Outcomes: You care about whether the system actually solves the underwriter ...

production Communicate insights to executive stakeholders with clarity What you bring 4+ years applied data science with production deployments Strong Python (pandas, scikit-learn, PyTorch) and SQL Solid grounding in statistics, experimentation and causal inference Experience with at least one MLOps stack (MLflow, SageMaker, Vertex) Nice to have Published research ...

Databricks. Strong background building end-to-end ML pipelines across the full machine learning lifecycle. Hands-on experience with deep learning frameworks including PyTorch, TensorFlow, or equivalent technologies. Experience with multimodal machine learning, embedding models, representation learning, or foundation models. Strong understanding of modern deep learning architectures, particularly Transformers ...

APIs, third-party libraries, and scalable data pipelines. Desirables: Direct experience with FFmpeg or GStreamer. Familiarity with GPU-accelerated video/AI tech (CUDA, PyTorch, TensorRT, DeepStream). Experience with multimodal AI (VLMs, LLM APIs, Retrieval-Augmented Generation). Cloud and containerization skills (AWS, Docker). ...

What we’re looking for 5+ years in ML/AI engineering with models shipped to production. Strong Python and the modern ML stack (PyTorch, scikit-learn, etc.). Hands‐on experience with LLMs, embeddings, and retrieval‐augmented generation. Able to balance research curiosity with practical, shippable outcomes. Creative, experimental ...