1 to 25 of 60 Remote/Hybrid PyTorch Jobs in England

Bring Technical Expertise: Strong Python skills with the ML stack: NumPy, pandas, scikit-learn Hands-on experience with at least one deep learning framework (PyTorch, TensorFlow, JAX) Solid grounding in core ML—supervised, unsupervised, evaluation, regularisation, statistics Production ML experience—deploying, serving and monitoring models at scale LLM and generative ...

several of the following: Commercial experience developing AI or Machine Learning solutions Strong Python development skills Experience with Machine Learning frameworks such as TensorFlow, PyTorch or Scikit-learn Experience with Generative AI technologies including LLMs, LangChain or LlamaIndex Hands-on experience building RAG solutions and working with vector databases Experience ...

continuous improvement of AI performance, reliability and scalability. Requirements Commercial experience developing AI or Machine Learning solutions. Strong Python development skills. Experience with TensorFlow, PyTorch or similar ML frameworks. Knowledge of Computer Vision, Robotics or Autonomous Systems. Experience working with cloud platforms (AWS, Azure or GCP). Understanding of APIs ...

scale. To be successful as an Applied AI Engineer, you should have experience with: Experience using Python and machine learning frameworks such as PyTorch, TensorFlow or scikit-learn to build and deploy scalable solutions. Experience developing advanced AI/ML and GenAI solutions, including working with LLMs, RAG, MCP, agents ...

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 ...

Multiple years experience of delivering novel ML solutions to customers and internal stakeholders. Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices. Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment. Experience of appropriate version control and environment management ...

Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality ...

modern software development practices. Hands‐on experience with Distributed Training infrastructure (Multi‐node GPU training, Kubernetes, vLLM). Familiarity with Deep Learning frameworks (PyTorch). Experience with MLOps tools and experiment tracking (e.g., ClearML, MLFlow, Weights & Biases). Research Fluency: Ability to read technical research papers and translate them into ...

Learning and ideally Azure AI Foundry Good understanding of MLOps and LLMOps Excellent Python engineering skills with experience using frameworks such as LangChain, LangGraph, PyTorch and Pydantic Experience with RAG, vector search, embeddings, prompt engineering and enterprise retrieval architectures Experience building AI solutions within document-heavy environments such as legal ...

Essential BSc in Machine Learning, Data Science, Computer Science, Mathematics or a related field. Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Experience delivering ML solutions to stakeholders. Good understanding of AI/ML algorithms for different data types and tasks, including Generative ...

Skills & Experience BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have an established track record of delivering ML solutions to customers and internal stakeholders. Demonstrate deep understanding of AI/ML algorithms for different ...

based chatbots and agents Proven ability to build machine learning models and pipelines using Python and common ML and DL libraries (e.g. Pytorch, Tensorflow) from early conceptualisation to full deployment in scalable production environments Ability to design, deploy and maintain ML solutions on modern frameworks to meet functional business requirements ...

Docker. Plus, a strong opinion on your IDE/editor of choice is welcome ;) Familiarity with modern machine learning tools, for instance TensorFlow, Keras, PyTorch or SKLearn. Commercial experience with these is not essential. You should be aware of the broad landscape of machine learning applications, tools, and technologies ...

EMNLP, NAACL, ICLR) with specific focus on agent systems, tool use, or multi‐agent coordination. Familiarity with one or more deep learning frameworks (e.g. pytorch, jax, tensorflow, ...) Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ...). Excellent communication skills to report ...

pipelines and working with both structured and unstructured data Knowledge of AI, machine learning or generative AI technologies Exposure to frameworks such as TensorFlow, PyTorch, LangChain or similar Experience working with cloud based data platforms and modern data architectures Strong analytical and problem-solving skills Excellent communication skills with ...

Data Science, Mathematics, Computer Science, or a related field. Strong programming skills in Python or R, with experience using frameworks such as Scikit-learn, PyTorch, or TensorFlow. Experience with cloud platforms or distributed computing (GCP preferred, but AWS or Azure also welcome). Exposure to neural networks (a plus ...

related role. Proven experience in designing and deploying generative AI models and solutions. Hands‐on experience with AI frameworks and tools such as TensorFlow, PyTorch, Hugging Face, etc. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying AI solutions in cloud environments. Technical Skills: Proficiency in programming languages ...

Computer Science (or equivalent proven track record). 4 + years working on large‐scale ML codebases. Hands‐on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed/FSDP/SLURM/K8s). Experience in deep learning, NLP or LLMs; bonus for CUDA or data‐pipeline chops. ...

have strong programming skills in Python , Rust, or similar; and strong software engineering fundamentals building performant and reliable systems. Proficient in deep learning frameworks (Pytorch, JAX, TensorFlow). You can work on different layers of the stack from low-level training backends, data ingestion to ML/RL algorithmic design ...

Skills and Experience: Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j) Why BAE Systems Here you ll build a career with purpose and limitless possibilities. With lifelong learning ...

Electrical Engineering, Control Systems, or a related field Experience across a spectrum of libraries, frameworks and services : such as ML libraries e.g. TensorFlow or PyTorch model servers such as AWS Bedrock MLOps such as ML Flow or Sagemaker agent/AI orchestration such as LangGraph or MCP libraries Strong programming ...

Machine Learning, Computer Science or a closely related discipline Strong software development experience using Python Hands-on experience with Machine Learning frameworks such as PyTorch or TensorFlow Experience working with Large Language Models (LLMs), Knowledge Graphs, Graph Machine Learning or Natural Language Processing Experience developing AI prototypes, proof-of-concept ...

data representations including 2D and 3D geometry Experience with cloud services and architectures (e.g. AWS, Azure) Proficiency with modern deep learning libraries and frameworks (PyTorch, HuggingFace, Ray) Excellent written documentation skills to document code, architectures, and experiments Preferred Qualifications Experience working with distributed systems Knowledge of the design, manufacturing ...

Infrastructure Engineer/Model Deployment Engineer/AI Integration Engineer/Python/Large Language Models/LLM/LangChain/LangGraph/PyTorch/ONNX/ONNX Runtime/NumPy/pandas/Machine Learning/Artificial Intelligence/GPU Optimisation/Rust/ort/Model Inference/ ...

inference (e.g., dynamic batching, flash attention, speculative decoding) Proven track record of developing and deploying models at scale Expertise in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms Strong familiarity with MLOps principles, CI/CD pipelines, and containerization (Docker, Kubernetes) With preferred backgrounds covering some ...