1 to 25 of 45 Permanent PyTorch Jobs in London

experience in managing, coaching, and developing junior members of a team and wider community. D ESIRABLE : Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g, GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage ...

testing and Infrastructure as Code. Excellent communication and stakeholder management skills. A passion for mentoring and developing other engineers. Technology Stack Python SQL FastAPI PyTorch Docker Kubernetes AWS Azure Git CI/CD Knowledge Graphs Large Language Models (LLMs) Amazon Bedrock Azure AI Foundry Machine Learning Natural Language Processing ...

technical leadership across the team. What We're Looking For Strong commercial experience developing machine learning solutions using Python. Experience with frameworks such as: PyTorch TensorFlow Scikit-learn XGBoost Experience deploying ML solutions on AWS, including services such as SageMaker, Lambda, and S3. Strong understanding of MLOps tooling, including MLflow ...

Looking For in a Machine Learning Engineer Strong experience developing and deploying Machine Learning models using Python Experience with frameworks such as PyTorch, TensorFlow, Scikit-learn or XGBoost Knowledge of AWS cloud services including SageMaker, Lambda and S3 Experience with MLOps tools such as MLflow, Weights & Biases or Data Version ...

relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. ...

generate actionable insights that inform business and product decisions Desirable: Hands-on coding and prototyping experience in AI/ML development (Python, TensorFlow, PyTorch) Experience with proof-of-concept development and technical validation of new AI technologies Background in data science or machine learning engineering with an understanding of model ...

Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries) Strong problem-solving and communication skills Preferred Qualifications Experience with NLP, computer vision, or recommendation systems Familiarity with MLOps practices ...

LLMs, NLP, or computer vision projects Knowledge of AWS, Azure, or GCP Familiarity with Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit-learn Internship, university project, or personal portfolio related to AI/ML What’s on Offer Competitive graduate salary package Company stock options ...

Rust or Java, and their associated security considerations.Coding experience with AI & ML, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn.Familiarity with current and emerging regulations and standards, such as the EU AI Act, the Digital Services Act, the Digital Markets ...

agents using LangChain, LangGraph, AutoGen, and similar frameworks Deploy models via Azure OpenAI, Azure AI Foundry, and Docker Write clean, modular Python (OOP, Pydantic, PyTorch) following solid DevOps/CI-CD practices Manage large-scale text and structured datasets on Databricks Partner closely with commercial stakeholders to align AI solutions ...

years in AI/ML security or data security.Proven experience designing secure architectures for AI/ML systems.Strong knowledge of:Machine learning frameworks (TensorFlow, PyTorch, etc.)Cloud platforms (Azure, AWS, GCP) and AI servicesIdentity & access management, encryption, and network securityExperience in threat modeling and risk assessment methodologies.Bachelor’s or Master ...

modern software engineering practices Machine Learning/Deep Learning MLOps and production ML systems Cloud platforms and scalable infrastructure ML frameworks such as PyTorch, TensorFlow or equivalent LLMs/Generative AI is highly desirable CI/CD, Docker, Kubernetes or similar technologies Designing and operating production-scale ML platforms ...

lexical, vector, hybrid)Evaluation methodologies for IR and generative AI systemsStrong 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 and machine learning platformsUnderstanding of experimentation methodologies, evaluation frameworks, and statistical analysisProficiency ...

shape technical direction and mentor other engineers Your Skills & Experience Strong commercial experience across machine learning and generative AI Hands-on expertise with Python, PyTorch, Scikit-learn, and Hugging Face Experience building production AI systems and MLOps pipelines Practical use of AI coding assistants and agentic engineering workflows Ability ...

theory We're looking for: Strong hands-on AI/ML and Data Science expertise (Python essential — NumPy, Pandas, Scikit-learn; exposure to PyTorch, TensorFlow, LangGraph or similar a plus) Proven experience delivering technical training to a mix of technical and non-technical audiences, virtually and face-to-face Experience ...

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 ...

production-grade Generative AI or LLM solution, from design through to live deployment at scale. Background in software engineering, with production experience in PyTorch, TensorFlow and Generative AI frameworks such as LangChain or LangGraph. Educational background in Computer Science, Machine Learning, AI, Mathematics, or a related quantitative discipline. This ...

industry as an AI Research Scientist or similar, working on the full-cycle development of ML algorithms, from design to implementation in Python & PyTorch Research expertise in one of the following: large language models ( LLMs ), vision-language models ( VLMs ), multimodal AI, foundation models, or generative AI. Solid understanding of transformer ...

discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with ...

cache behaviour, attention variants and performance bottlenecksHands-on experience with LLM serving frameworks such as vLLM, SGLang, TensorRT-LLM or TGI, and the PyTorch ecosystemExperience with inference optimisation techniques, including quantisation, speculative decoding and model parallelism across modern GPU architecturesStrong software engineering skills, including Python, CUDA and building reliable systems ...

role Strong programming skills in Python and/or R, with solid SQL Experience with machine learning frameworks such as scikit-learn, TensorFlow or PyTorch Strong grounding in statistics, probability and data modelling Experience with large datasets and cloud-based platforms Familiarity with visualisation tools such as Tableau or Power ...

members, and influence without formal authority in an applied research setting Strong programming skills (e.g., Python) and experience with modern deep learning frameworks (e.g., PyTorch, Hugging Face Transformers, DeepSpeed) Publications at relevant venues such as ACL, EMNLP, ICLR, NeurIPS, SIGIR, or KDD Technical Qualifications Deep understanding of document understanding fundamentals ...

expect from you: Expertise in transformer architectures (e.g., BERT, GPT, T5, Time Series Transformers). Strong hands-on experience with modern deep learning frameworks (PyTorch preferred). Solid grounding in machine learning fundamentals and statistical modelling. Familiarity with distributed training and GPU acceleration. A track record of delivering impactful models ...

research achievements of comparable quality Deep understanding of modern deep learning methods including graph neural networks, transformer architectures, and diffusion models Strong Python and PyTorch programming skills The ability to independently drive research from idea through to implementation Excellent communication and collaboration skills across technical and scientific teams Particularly strong ...

while mentoring colleagues and promoting technical best practice. Your Skills & Experience Strong commercial experience with transformer architectures and modern NLP techniques. Advanced Python and PyTorch skills, including custom model training and optimisation. Experience fine-tuning, evaluating and deploying large language models. Experience working with large-scale text datasets and real ...