1 to 25 of 41 Permanent PyTorch Jobs in Central London

design and deployment of enterprise‐grade AI solutions using Python, .NET, and cloud‐native MLOps pipelines. Direct teams working with advanced frameworks such as PyTorch, TensorFlow, Hugging Face, ONNX Runtime, and LangChain, along with orchestration tools including Semantic Kernel, LangGraph, and CrewAI. Drive responsible integration of Large Language Models (LLMs ...

products Strong backend (Node.js, Python/Flask, FastAPI) and frontend (React, Next.js, Vue) fundamentals ML/data science proficiency: Python, SQL, pandas, scikit-learn, PyTorch/TensorFlow Experience with cloud platforms (AWS, GCP, Azure) and containerisation (Docker, Kubernetes) Proven ability to build data-secure, privacy-compliant infrastructure Product-minded ...

Learning deployments on AWS, Azure or GCP Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.) Experience with DevOps tools: Kubernetes, Docker, Terraform, CI/CD Pipelines, GitHub/GitLab, GitOps, GitHub Actions, Jira, Jenkins, CircleCI, Datadog, Slack. Graduate degree ...

complexity trade-offs, and overfitting/underfitting dynamics Strong proficiency in Python and ML ecosystems (scikit-learn, pandas, NumPy) Experience with deep learning frameworks (PyTorch or TensorFlow) Practical knowledge of deep learning architectures (CNNs, RNNs, Transformers) and when to apply them Strong SQL and data manipulation capabilities Experience working with ...

services, healthcare). Track record of thought leadership (publications, patents, open source, or industry impact). Technical Excellence Expert Python and modern ML frameworks (PyTorch, TensorFlow). Strong experience with Generative AI tooling (e.g. LangChain, LangGraph or similar). Deep understanding of LLMs, prompt engineering, RAG, vector databases, evaluation ...

deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ...

deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills · Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. · Can translate ...

recommendation systems, optimisation, or marketing analytics. Deep understanding of ML fundamentals across the full lifecycle. Hands‐on experience with ML frameworks (scikit‐learn, XGBoost, PyTorch, TensorFlow, LightGBM). Strong exposure to LLMs, prompt engineering, RAG, and evaluation frameworks. Familiarity with MLOps tooling: CI/CD, experiment tracking, model registries, monitoring ...

techniques (e.g., diff-in-diff, IV, matching) where randomisation is impractical Fluency in Python and core data/ML libraries (pandas, NumPy, scikit-learn, PyTorch or TensorFlow), combined with solid software engineering practices (clean code, testing, version control, code review) Proficient with large-scale data : strong SQL skills and familiarity ...

engineering, AI engineering, or applied data science. Proven track record deploying AI/ML solutions into production. Expertise with ML frameworks (scikit‐learn, XGBoost, PyTorch, TensorFlow, LightGBM). Solid experience with LLMs, prompt engineering, RAG, and evaluation. Strong software engineering and MLOps skills (CI/CD, containers, monitoring, model registries ...

Strong experience in Python and SQL, including libraries such as Pandas, NumPy and scikit-learn. Experience working with deep learning frameworks such as PyTorch or TensorFlow. A solid grounding in statistics and probability, with strong mathematical foundations (calculus and linear algebra highly advantageous). Experience working across the full data ...

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 ...

Python programming skills • Commercial experience with machine learning • Experience working in Natural Language Processing (NLP) • Experience training ML models using TensorFlow and/or PyTorch • Experience with search databases (e.g. Elasticsearch, OpenSearch) • Experience with cloud platforms (e.g. AWS) • Willingness to work 3 days per week onsite in London Benefits • Stock ...

Proven technical leadership experience Strong Python expertise Commercial Machine Learning experience Deep experience in Natural Language Processing (NLP) Experience training models in TensorFlow and PyTorch Experience with search databases (Elasticsearch, OpenSearch, etc.) Experience with AWS or similar cloud platforms Willingness to work 3 days per week onsite in London What ...

Bachelor’s degree 2:1 or above in a quantitative subject). Strong Python skills and experience with ML frameworks (e.g. scikit-learn, TensorFlow, PyTorch). Experience with model deployment, monitoring and ML pipelines (e.g. CI/CD, MLOps concepts). A collaborative mindset with strong communication skills and experience ...

e.g. object detection, image classification, segmentation) Experience building, training and optimising ML models Python (NumPy, Pandas, scikit-learn) and frameworks such as TensorFlow or PyTorch Experience deploying models into production environments (cloud platforms, Docker, CI/CD pipelines) Clearance requirements: Active SC Clearance , or SC Clearable (must have resided ...

track record of building and shipping full-stack products in fast-paced, product-driven teams Hands-on experience building production AI systems with Python, PyTorch, and LLMs (OpenAI, Anthropic, etc.), integrated into real user workflows Familiarity with MLOps tools and CI/CD for both traditional and ML-driven systems ...

experiences. What the Company Is Looking For Hands-On AI/ML Expertise: Experience building and deploying machine learning models using frameworks such as PyTorch, TensorFlow, or scikit-learn. LLM Experience: Proven experience working with large language models (e.g. GPT, Claude, Gemini) in production environments, including prompt engineering, evaluation ...

cross-functional technical leadership across research and engineering domains. Core Skills Strong foundation in deep learning and transformer-based architectures. Hands-on experience with PyTorch and modern NLP/LLM toolchains. Deep knowledge of parameter-efficient fine-tuning methods (LoRA, adapters, PEFT techniques). Expertise in intent classification, evaluation metrics ...

about machine learning and eager to grow: Strong Python skills and experience with ML libraries (pandas, NumPy, scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, Keras, PyTorch). Familiarity with model deployment and serving tools (ONNX, TensorRT, TensorFlow Serving, TorchServe). Experience with ML lifecycle tools (MLflow, Kubeflow, Azure ML Pipelines). ...

Master’s or PhD in Computer Science, Robotics, Machine Learning or a related field Strong Python and C++ skills Experience with frameworks such as PyTorch, TensorFlow or JAX Background in probabilistic modelling, Bayesian methods or reinforcement learning Desirable: Experience working with robotic systems or autonomous platforms Familiarity with SLAM, path ...

learning, teacher-student learning • Large vision models and optimization for scale Red flags: • Generic “we’ll just improve the model” thinking • Only knowing basic PyTorch without broader ecosystem knowledge • No real-world deployment or scalability experience Team Environment • Data science team: 3 ( • Engineering team: 7 • Highly collaborative, execution-focused culture ...

Expert proficiency in Python (for ML development) and JavaScript/TypeScript (for production integration). Deep understanding of ML/DL frameworks such as PyTorch and scikit-learn . Hands-on experience with state-of-the-art foundation models, embeddings, and RAG. Strong knowledge of cloud computing, microservices, API design ...

monitoring is ESSENTIAL. Familiarity with agentic frameworks (LangGraph, ReAct, CoT loops) and/or proven ability to build without them . Knowledge of PyTorch/TensorFlow, RAG, vector databases, and orchestration tools. Background in start-ups (hands-on generalists) or consultancies (client exposure). Independent, entrepreneurial mindset; thrives without hand ...

experience delivering full-cycle AI software and deploying production-ready solutions. Strong proficiency in Python and core AI/data science libraries, such as: PyTorch, TensorFlow, ScikitLearn, Keras, NumPy, Pandas PyTorch Geometric, JAX, XGBoost, OpenCV Transformers, LangChain, Pinecone Hands-on experience with cloud computing systems for training, optimising, and deploying ...