18 of 18 PyTorch Jobs in the City of London

Python programming Expertise in ML algorithms and statistical modeling Hands-on experience with Scikit-learn, Pandas, NumPy, XGBoost/LightGBM Experience with TensorFlow/PyTorch/Keras Solid understanding of feature engineering, model tuning, and evaluation metrics Experience with SQL and data handling Knowledge of MLOps (CI/CD, model ...

using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices, containerization (Docker, Kubernetes/AWS EKS), and cloud services (AWS Bedrock, SageMaker, Azure AI Search). Soft Skills: Excellent communication ...

async programming, concurrency, multithreading) Expertise in RESTful API design, OpenAPI/Swagger documentation and API lifecycle best practices Hands-on experience with ML libraries: PyTorch, PySpark, scikit-learn, Hugging Face Transformers Proficiency in AI tooling: Azure ML, Databricks, MLflow, LangChain, LangGraph Proven experience with Git, unit testing, containerisation and agile ...

approaches for standardised integration between AI applications, tools, and enterprise data sources Strong Python engineering skills, including experience with libraries and frameworks such as PyTorch, Pydantic, LangChain, and LangSmith Experience with prompt orchestration, structured outputs, evaluation, and tool-calling patterns for LLM applications Knowledge of RAG patterns, vector search ...

data, especially large-scale text or content datasets. Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib. The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical thinking, problem-solving skills ...

optimisation Tech environment Key technologies include: Python Azure Databricks Generative AI/LLM frameworks Agentic AI tooling and orchestration frameworks LangChain/LangGraph PyTorch and ML libraries REST APIs Docker and containerisation CI/CD pipelines Git-based development workflows What we're looking for 4-6 years' experience within ...

Hands-on with; LLMs (OpenAI, Llama, Claude, Mistral), Vector DBs (Pinecone, Weaviate, FAISS), Frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, LangGraph) Strong Python + ML frameworks (PyTorch/TensorFlow) Experience deploying on AWS, Azure, or GCP Experience leading or influencing technical teams Nice to have: Experience in consulting/client-facing roles ...

machine learning, deep learning, or applied AI Proficiency in programming languages such as Python or Java Hands-on experience with frameworks such as TensorFlow, PyTorch, or similar Experience designing and deploying production-grade AI systems Solid understanding of data engineering, APIs, and system integration Familiarity with cloud platforms and scalable ...

talented data scientists. What You’ll Bring Deep expertise in machine learning Data science tools (NumPy, Pandas, Scikit-Learn) and deep learning frameworks (PyTorch, TensorFlow) Track record delivering impactful AI/ML projects (e.g. forecasting, recommendation systems, or optimisation) Experienced project lead with strong technical decision-making and architecture ownership ...

understanding of system design: orchestration, memory, deployment, monitoring – Exposure to tools such as LangGraph, ReAct, CoT — or building similar systems from scratch – Familiar with PyTorch/TensorFlow, RAG architectures, vector databases, modern cloud infra – Experience in startup or consulting environments is a plus – Comfortable working autonomously in fast-moving, sometimes ...

networks, or reinforcement learning Experience with agent frameworks, tool-use planning and workflow orchestration Systems-level fluency across data pipelines, training infrastructure and inference (PyTorch, JAX, TensorFlow) Strong MLOps discipline: CI/CD for models, offline/online evaluation, safety and guardrails The ability to influence at exec level ...

teams on a shared ML platform Exposure to regulated or high-reliability production environments Tech Stack (Current & Expected Evolution) Languages: Python (core) ML & Data: PyTorch/similar frameworks, experiment tracking, structured datasets Pipelines & Orchestration: Workflow schedulers for batch and near-real-time processing Deployment: Containers, model serving frameworks, infrastructure ...

edge ML – classical and modern methods Hands-on experience optimising models for constrained hardware: quantisation, pruning, distillation Solid Python and deep learning framework experience (PyTorch or similar) Track record of building and shipping AI systems, not just publishing Genuine interest in defence and security as a mission area Applied mindset ...

push the boundaries of what AI can actually do. Experience required: Strong hands-on experience with Reinforcement Learning (RL) Python and modern ML frameworks ( PyTorch, JAX, TensorFlow ) Experience working with time-series or sensor data Ability to turn real-world problems into practical ML solutions Comfortable taking models from research ...

leading conferences or journals is a strong plus Deep expertise across one or more computer vision or spatial AI research areas Strong Python and PyTorch skills, with the ability to write production-quality code Able to work independently, define technical direction and communicate findings clearly What ...

with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also be required. Want to join? Get in touch. Salary and total compensation is purely based on performance of your models ...

🔥 Who We Are At Ultralytics, we relentlessly drive innovation in AI, building the world's leading YOLO models. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready ...

position. Paying up to £1000 per day. Outside IR35 Experience and skills required for the Senior Machine Learning Engineer, Quantisation, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️ In depth experience with the following Machine Learning: Quantization, PEFT, DeepSpeed, ONNX, TensorRT Deep Learning with PyTorch Experience with Strong … Large language model for GPU usage, scaling, and data movement ️ Package for the for the Senior Machine Learning Engineer, Quantization, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️ Hybrid Outside IR35 Paying between £800 to £1000 per day depending on experience ...