1 to 25 of 36 Remote/Hybrid PyTorch Jobs in London

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 ...

communication. Implement best practices for data governance, security, and MLOps on GCP. Proficiency with Python and common AI/ML frameworks such as TensorFlow, PyTorch, JAX, scikit learn, and Hugging Face libraries. Knowledge of MLOps and LLMOps practicesincluding CI/CD for models, model registry/versioning, feature stores, orchestration ...

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 ...

/ML solutions in industry. Proven track record building and deploying production AI systems at scale. Strong Python expertise with modern ML frameworks including PyTorch, TensorFlow, Scikit-Learn, JAX, XGBoost, OpenCV and Transformers. Experience developing LLM and generative AI solutions, including RAG architectures, LangChain, vector databases and cloud ML deployment. ...

databases (FAISS, PGVector, Qdrant) and RAG architectures for scientific knowledge retrieval and question-answering systems. Proficiency in Python, FastAPI, and key ML frameworks (Transformers, PyTorch, TensorFlow). Proven ability in advanced prompt engineering techniques. Hands-on approach and experience setting up integration of multiple solutions from scratch. You build systems ...

Profile Experience: From 1 year in data science or analytics to Principal-level leadership Proficiency in Python, R, SQL , and familiarity with Spark, TensorFlow, PyTorch Strong knowledge of machine learning, statistical modeling, and data engineering principles Experience with cloud platforms (AWS, Azure, GCP) Excellent communication and client-facing skills Active ...

etc.) in Computer Science, Artificial Intelligence, Mathematics, Data Science or similar Strong programming skills in Python Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn Experience working with large datasets and building data pipelines Knowledge of cloud platforms such as AWS, GCP, or Azure Experience developing ...

with fine-tuning techniques, retrieval-augmented generation, contextual embeddings, vector databases, and semantic search tools Experience using deep learning frameworks and tools such as PyTorch, TensorFlow, and LangChain. Experience designing and implementing MLOps frameworks that support robust model training, testing, monitoring, and continuous improvement lifecycles. Experience developing and integrating APIs ...

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 ...

Description Person Specification PSpec Essential oDesigning algorithms for actionable outcomes oStrong proficiency in SQL, R, Python, and tools like Alteryx, TensorFlow, PyTorch, Databricks oAssociated data science practices across the domain oAbility to produce reproducible code and pipelines with governance and automation, in addition to assuring team members coding practices ...

databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine‐tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data ...

Proven experience in AI/ML engineering, AI architecture, or data science Strong understanding of generative AI, LLMs, NLP, and ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) Experience deploying AI models in cloud environments (AWS, Azure, or GCP) Strong Python skills and experience integrating APIs and automation tools Commercial mindset ...

proven track record delivering ML/AI solutions into production environments Strong Python expertise and experience with modern AI/ML frameworks such as: PyTorch TensorFlow scikit-learn NumPy Pandas Hands-on experience with Generative AI, agentic AI systems, and AI testing frameworks Strong communication skills and a passion ...

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 ...

large language models Knowledge of vector databases, semantic search and embedding techniques Strong programming skills in Python Experience with deep learning frameworks such as PyTorch or TensorFlow What's on Offer Salary up to £110,000 Hybrid working from central London office Performance related bonus scheme 25 days holiday plus ...

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). ...

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 ...

learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high ...

We’re building AI assistants that live in the real world — answering calls, joining video rooms, running in physical spaces. It’s not a research project, this is a chance to work on a product ...

productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. · Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. ...

role Strong expertise in AI, machine learning, and statistical methods Proficiency in Python and ML/data analysis libraries (e.g., pandas, numpy, scikit-learn, PyTorch, transformers, statsmodels) Experience with cloud-based ML deployment (e.g., AWS services) Ability to absorb complex scientific concepts and apply them to real-world problems Strong ...

Requirements 2+ years of experience in machine learning, AI, or related fields Strong programming skills in Python Hands-on experience with frameworks such as PyTorch Experience working with large datasets and machine learning models at scale Ability to design and run complex experiments Bachelor’s degree in Computer Science, Engineering ...

building backend or network-facing services using Go Strong Python skills, ideally within machine learning or computer vision environments Familiarity with frameworks such as PyTorch or TensorFlow (or a willingness to learn) Experience with containerisation and orchestration tools such as Docker or Kubernetes Comfortable working in Linux-based environments Solid ...

Senior Data Scientist: Senior experience in data science or a quantitative field. Fluent Python programmer with experience in deep learning frameworks (e.g., PyTorch). Expert in core data science techniques (supervised/unsupervised, NLP) and developing innovative algorithms. Leadership mindset, mentoring teams and fostering collaboration. Commercially aware, able to translate ...

expertise in at least one machine learning domain, with broad knowledge across data science, including Python programming and experience with deep learning frameworks (e.g., PyTorch). Proven technical leadership, mentoring and managing teams, and scaling best practices. Strong delivery skills, turning complex, ambiguous problems into actionable, high-quality solutions. Collaborative ...