1 to 25 of 31 Permanent PyTorch Jobs in Central London

regulatory and compliance implications in payments Experience working in payments transformation programs Technical Strong Python skills Experience with ML libraries (Scikit-learn, TensorFlow, PyTorch, XGBoost, etc.) Experience with LLMs/GenAI frameworks (LangChain, RAG, prompt engineering, etc.) Experience in cloud (AWS/Azure/GCP) · Experience in MLOps tools (MLflow ...

leadership and mentorship to junior engineers Required Experience & Skills Core Technical Skills Strong hands‐on experience with Python , and at least one of: TensorFlow, PyTorch, scikit‐learn Practical experience with LLMs and Generative AI , including: Prompt engineering Retrieval‐Augmented Generation (RAG) Agentic workflows Experience deploying AI on cloud platforms (Azure ...

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 ...

Minimum 1+ year of commercial experience in machine learning or data science Strong Python skills with experience in ML frameworks such as scikit-learn, PyTorch, TensorFlow, or XGBoost Exposure to AWS services (e.g. S3, Lambda, SageMaker) Understanding of core ML concepts: model evaluation, validation, and experimentation Familiarity with MLOps ...

Machine Learning Engineer or equivalent role Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow Strong experience with cloud-based ML deployment (e.g., AWS SageMaker, Lambda, S3) Knowledge of MLOps/LLMOps tooling (e.g., MLflow, Weights & Biases, Data Version ...

Kubernetes Proven track record of designing and implementing scalable distributed systems and microservices architectures General understanding of modern AI/ML frameworks (TensorFlow, PyTorch) and model deployment in production Deep understanding of software security principles, cryptography, and privacy-by-design methodologies Experience with agile development methodologies and modern DevOps practices ...

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 ...

Computer Science, Mathematics or related field Strong computer vision expertise and experience fine-tuning state-of-the-art models Deep learning experience (e.g. PyTorch , CUDA, model optimisation for training and inference) Strong MLOps and engineering mindset (CI/CD, automated deployment, monitoring) Solid understanding of data engineering, data quality ...

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 ...

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). ...

modern AI frameworks. Experience with transformer architectures and sequence modelling. Familiarity with LangChain, RAG (Retrieval Augmented Generation) and LLM application frameworks. · Experience using PyTorch, TensorFlow or similar ML frameworks. Ability to design and implement AI workflows and AI-powered automation systems. AI Engineering/Platform Experience integrating AI solutions with ...

modern AI frameworks. Experience with transformer architectures and sequence modelling. Familiarity with LangChain, RAG (Retrieval Augmented Generation) and LLM application frameworks. · Experience using PyTorch, TensorFlow or similar ML frameworks. Ability to design and implement AI workflows and AI-powered automation systems. AI Engineering/Platform Experience integrating AI solutions with ...

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 ...

Python for production AI and strong technical fluency in TypeScript. AI Frameworks: Hands-on experience with some of the following LangChain/LangGraph, LlamaIndex, PyTorch , and FastAPI . Modern Infrastructure: Experience with AWS Bedrock/SageMaker and using Docker/Kubernetes to scale agent instances. RAG Expertise: Proven experience building ...

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 ...

product and ML direction. What they're looking for • Strong Python experience • Commercial Machine Learning/NLP experience • Experience with TensorFlow or PyTorch • Experience with search technologies (Elasticsearch, OpenSearch, etc.) • Experience building production ML systems Experience with LLMs or large-scale search systems would be a bonus. Package ...

efficient model deployment and monitoring Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Great knowledge of NLP algorithms Expertise in Python and PyTorch Desirable Skills 👌 Can speak, or learning to speak, more than one language Experience with reinforcement learning Knowledge-sharing experience (tech talks, articles, YouTube videos, etc. ...

/ML engineering or applied research Experience training, fine-tuning, or deploying LLMs in production Strong Python and familiarity with modern ML tooling (PyTorch, data pipelines, evaluation frameworks) Track record of turning research work into production systems Compensation & Benefits £200K - £300K base Health coverage Flexible vacation Daily meals and office ...

they're looking for • Strong Python experience • Commercial Natural Language Processing (NLP) experience • Experience building production ML/NLP systems • Experience with TensorFlow or PyTorch • Experience with search technologies (Elasticsearch, OpenSearch etc.) • Experience working with large datasets or language systems Experience with LLMs or information retrieval systems would be beneficial. ...

. Strong background in machine learning research , including algorithm development and benchmarking. Hands on experience with generative models (diffusion, flows, GANs). Proficiency in PyTorch , Python, and modern ML tooling. Experience in computational science , numerical methods, or scientific computing. MSc or PhD in Machine Learning, Computer Science, Physics, Applied Mathematics ...

. Strong background in machine learning research , including algorithm development and benchmarking. Hands‑on experience with generative models (diffusion, flows, GANs). Proficiency in PyTorch , Python, and modern ML tooling. Experience in computational science , numerical methods, or scientific computing. MSc or PhD in Machine Learning, Computer Science, Physics, Applied Mathematics ...

/PhD in Mathematics, Physics, Computer Science, or a related field Strong hands-on experience building LLM-based systems with modern ML tooling (PyTorch, Ray, JAX) Experience designing agentic systems (planning, memory, tool use, multi-step reasoning) Strong understanding of transformers and foundation model behavior Comfortable owning whatever needs doing ...

/video generative models — architecture, training, and inference. Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies. Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. You document experiments clearly and communicate trade‐offs crisply. Nice-to-Have: Robotics ...

twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base. Position Overview ...