151 to 175 of 308 PyTorch Jobs in London

large data sets, and construct problem hypotheses that help steer the product feature roadmap (e.g. with use of Python), tools for database (e.g. SQL, spark) and ML platform (tensorflow, pytorch) • Conducting regular code reviews and implementing quality assurance processes to maintain high standards of code quality and performance optimization. • Providing technical guidance and mentorship to junior team members and collaborating More ❯

more junior colleagues PREFERRED QUALIFICATIONS - PhD degree in computer science, engineering, mathematics, economics, or related technical/scientific field - Hands on experience building models with deep learning frameworks like PyTorch, or similar - Experience with machine learning, time series, NLP and CV solutions - Proven communication skills, presentation skills, and attention to detail - Comfortable working in a fast paced, highly collaborative, dynamic More ❯

Senior Data Scientist Location: Hybrid (London)Type: Full-timeStartup: A fast-growing AI startup We're workan ambitious, early-stage startup building innovative AI solutions that help businesses unlock insights, automate processes, and drive smarter decisions. Backed by leading investors More ❯

AI Engineer | Natural Language Processing | Large Language Models | LLM | Python | Pytorch | Hybrid, London The Opportunity We are seeking a highly skilled AI Engineer to lead the development of advanced agentic workflows that transform how scientists interact with our platform. You will design and implement autonomous systems capable of navigating complex scientific tasks—such as retrieving scientific data and designing protein … systems. We are committed to building a diverse and inclusive team and encourage applicants from all backgrounds to apply. AI Engineer | Natural Language Processing | Large Language Models | LLM | Python | Pytorch | Hybrid, London More ❯

AI Engineer | Natural Language Processing | Large Language Models | LLM | Python | Pytorch | Hybrid, London The Opportunity We are seeking a highly skilled AI Engineer to lead the development of advanced agentic workflows that transform how scientists interact with our platform. You will design and implement autonomous systems capable of navigating complex scientific tasks—such as retrieving scientific data and designing protein … systems. We are committed to building a diverse and inclusive team and encourage applicants from all backgrounds to apply. AI Engineer | Natural Language Processing | Large Language Models | LLM | Python | Pytorch | Hybrid, London More ❯

AI and LLM advancements and explore their applications in quantitative finance. Qualifications: Technical Skills: Proficiency in AI, ML, and LLMs; strong programming skills in Python and C++; experience with PyTorch or TensorFlow. Quantitative Background: Solid foundation in mathematics, statistics, and quantitative modeling; experience with financial data is a plus. Education: Bachelor's or advanced degree in Computer Science, AI, Mathematics … to thrive in a collaborative, team-oriented environment. Desired Skills and Experience Technical Skills: Proficiency in AI, ML, and LLMs; strong programming skills in Python and C++; experience with PyTorch or TensorFlow. Quantitative Background: Solid foundation in mathematics, statistics, and quantitative modeling; experience with financial data is a plus. Education: Bachelor's or advanced degree in Computer Science, AI, Mathematics More ❯

interfaces and requirements for an end-to-end stack; Experience MS, or higher degree, in a related field, or equivalent industry experience Professional experience with ML frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred) Experience with data sampling and data curation pipelines for autonomous driving datasets Experience in state-of-the-art architectures for end-to-end autonomous driving More ❯

standards and lead architecture, code reviews, and deployment Work with DevOps, product, and data teams to deliver production-ready solutions What you’ll need: Strong Python and experience with PyTorch or TensorFlow Solid understanding of REST APIs, CI/CD, Docker, Kubernetes, and AWS Proven delivery of NLP/OCR projects with unstructured data Experience managing or mentoring engineers Bonus More ❯

standards and lead architecture, code reviews, and deployment Work with DevOps, product, and data teams to deliver production-ready solutions What you’ll need: Strong Python and experience with PyTorch or TensorFlow Solid understanding of REST APIs, CI/CD, Docker, Kubernetes, and AWS Proven delivery of NLP/OCR projects with unstructured data Experience managing or mentoring engineers Bonus More ❯

Tools: Hands-on with SageMaker, Lambda, Step Functions, S3, Athena. - OCR Development: Experience with Amazon Textract, Tesseract, and LLM-based OCR. - Python Expertise: Skilled in Pandas, NumPy, scikit-learn, PyTorch, Hugging Face Transformers; modular, testable code. - ML Models: Proficient in regression, classification, clustering, and time-series forecasting. - Business Insight: Translate business needs into data-driven solutions and actionable insights. - Stakeholder More ❯

of ideally 3+ years within AI/Machine Learning. Experience of Swarming, Swarm Intelligence and/or Multi-agent systems. Python, C++, Java or Rust. TensorFlow, TensorFlow Lite, TensorRT, PyTorch, Scikit-Learn. ROS/ROS2, Real-time & Embedded Systems. Simulation tools such as Gazebo or Webots. Edge AI/Edge computing familiarity such as NVIDIA Jetson. This is a chance More ❯

if, and surprise us again, and again. Proven track record delivering impactful ML/AI solutions in production. Deep expertise in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, NumPy, Pandas). Hands-on experience with GenAI, agentic AI, and automated testing for AI systems. Curiosity and creativity to challenge assumptions and explore new approaches. Strong More ❯

practices for Pythonic programming, for example refactoring code for efficiency and modularization in PyTorch. Proficiency with standard deep learning algorithms and model architectures, can build new models either using Pytorch functional API or from scratch. Familiarity with current deep learning literature and math of machine learning In-depth knowledge in machine learning best practices, scalable training and deployment, model introspection … and evaluation Experience in deep learning for computer vision, including but not limited to image segmentation and object detection Advanced level in PyTorch or Tensorflow. Experience with devop stacks: version control, CI/CD, containerization, etc. A thorough understanding of security and privacy best practices as relates to data and code. Preferred Qualifications & Skills: If you have the following characteristics More ❯

and have experience of developing and designing scalable web apps, writing and testing ML scripts in python. Required Skills and Experience: ● High level of expertise in Python; experience with PyTorch is a bonus. ● Strong expertise in JavaScript and associated frameworks and libraries, specifically Typescript, React and Next.js ● Prior experience of deploying and architecting infrastructure in multiple cloud environments (AWS/ More ❯

and have experience of developing and designing scalable web apps, writing and testing ML scripts in python. Required Skills and Experience: ● High level of expertise in Python; experience with PyTorch is a bonus. ● Strong expertise in JavaScript and associated frameworks and libraries, specifically Typescript, React and Next.js ● Prior experience of deploying and architecting infrastructure in multiple cloud environments (AWS/ More ❯

Strong backend skills — Python, REST APIs, FastAPI Proven experience scaling cloud-native systems (AWS, microservices, IaC) Kubernetes + Terraform expertise in production environments Solid understanding of ML deployment (e.g. PyTorch, TensorFlow, JAX) Frontend skills with React/TypeScript or similar Bonus: big data/real-time analytics/multi-cloud Why Join? Equity with serious upside and rapidly rising valuation More ❯

data strategy and architecture in a fast-moving environment What We’re Looking For 2+ years' experience in applied Machine Learning Strong Python skills, with familiarity in libraries like PyTorch, TensorFlow, scikit-learn Experience deploying models into production environments Solid grasp of MLOps or data pipelines (e.g., MLflow, Airflow, or similar tools) Previous experience in a start-up or high More ❯

data strategy and architecture in a fast-moving environment What We’re Looking For 2+ years' experience in applied Machine Learning Strong Python skills, with familiarity in libraries like PyTorch, TensorFlow, scikit-learn Experience deploying models into production environments Solid grasp of MLOps or data pipelines (e.g., MLflow, Airflow, or similar tools) Previous experience in a start-up or high More ❯

series or physiological data. Strong foundation in signal processing and time-series modeling (e.g., deep learning, classical ML, anomaly detection). Proficient in Python and ML frameworks such as PyTorch or TensorFlow. Familiarity with FDA regulatory pathways for medical software (e.g., 510(k), De Novo), and standards like IEC 62304 or ISO 13485. Experience with MLOps practices and model versioning More ❯

more of: deep learning, reinforcement learning, non-convex optimisation, approximate inference, NLP, or Bayesian methods Strong programming skills, ideally in Python, with experience using tools like NumPy, Pandas, JAX, PyTorch or TensorFlow A strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR) or competitive performance in ML challenges such as Kaggle or similar platforms The ability to independently More ❯

more of: deep learning, reinforcement learning, non-convex optimisation, approximate inference, NLP, or Bayesian methods Strong programming skills, ideally in Python, with experience using tools like NumPy, Pandas, JAX, PyTorch or TensorFlow A strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR) or competitive performance in ML challenges such as Kaggle or similar platforms The ability to independently More ❯

NLP, Information Retrieval, or Conversational AI Experience with large language models and retrieval-augmented generation Research background in conversational systems or dialogue management Experience with modern deep learning frameworks (PyTorch, TensorFlow) Excellent written and verbal communication skills PREFERRED QUALIFICATIONS Knowledge of multi-agent systems and tool-use frameworks Experience with e-commerce or shopping domain applications Publications at top venues More ❯

Master's, PhD or equivalent experience in a technical field (e.g., Maths, Statistics, Computer Science, Physics, Chemistry, Biomedical Engineering). Python programming in a modern deep learning framework, e.g. PyTorch or JAX. Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable of designing, executing and reporting from ML experiments. Mathematics skills to support the above: calculus, probability theory More ❯

into scalable solutions Key Skills Required: LLM Experience : Production experience with GPT, Claude, LLaMA, including fine-tuning, prompt engineering, and deployment Python Proficiency : Strong skills with ML frameworks (TensorFlow, PyTorch) and LLM tools (Hugging Face, LangChain, OpenAI APIs) Vector Understanding : Solid knowledge of embeddings, vector databases (Pinecone, Weaviate, FAISS), and RAG pipelines NLP Fundamentals : Text preprocessing, language modelling, and semantic More ❯

and Graph Transformers. Experience in building graph-based recommendation systems is a plus. You have 5+ years of programming experience in Python and have development experience with toolkits like PyTorch or Tensorflow and can deploy models with clean APIs. You are equally capable as a software engineer as you are in formulating novel research ideas and your code proves it. More ❯