1 to 25 of 125 Remote/Hybrid Permanent PyTorch Jobs

async programming, concurrency, multithreading) Expertise in RESTful API design, OpenAPI/Swagger documentation and API lifecycle best practices Hands-on experience with ML libraries: PyTorch, PySpark, scikit-learn, Hugging Face Transformers Proficiency in AI tooling: Azure ML, Databricks, MLflow, LangChain, LangGraph Proven experience with Git, unit testing, containerisation and agile ...

projects with strategic goals, ensuring measurable business outcomes. What you will bring: Commercial experience building AI/ML solutions with Python Expertise in TensorFlow, PyTorch, Scikit-learn, Transformers, LLMs, and techniques such as fine-tuning and RAG. Experience deploying AI solutions in AWS, Azure, or GCP environments. Strong MLOps knowledge ...

Spark, Airflow, or similar tools) Hands-on experience with cloud platforms (AWS, Azure, or GCP) Familiarity with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Experience with data visualization and BI tools Strong problem-solving skills and ability to communicate technical concepts to non-technical stakeholders Preferred Qualifications Experience with ...

strong experience developing and deploying machine learning and generative AI solutions in production environments. * Strong Python engineering skills with experience using frameworks such as PyTorch, TensorFlow, LangChain, or similar. * Experience working with LLMs, prompt engineering, vector databases, and retrieval augmented generation (RAG) architectures. * Strong knowledge of cloud platforms including ...

driven systems Experience with CI/CD pipelines, testing, and containerisation Strong problem-solving and communication skills Technology Stack Python, SQL, FastAPI, PyTorch, Transformers/LLMs, Terraform, Databricks, Kubernetes, AWS, Azure, PostgreSQL, Kafka, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote working within the UK Opportunity ...

production Tech environment includes: Python AWS/Azure/GCP Kubernetes & Docker FastAPI Infrastructure as Code CI/CD pipelines ML frameworks such as PyTorch/TensorFlow What they’re looking for: Strong Python engineering experience Experience deploying ML models into production Cloud and containerisation experience Excellent communication skills Someone ...

learning. Proficiency in data manipulation, feature engineering, and model evaluation. Strong programming skills in languages such as Python and experience with libraries like TensorFlow, PyTorch, or scikit‐learn. Excellent communication skills and the ability to collaborate effectively within cross‐functional teams. A passion for continuous learning and staying updated with ...

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 ...

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 ...

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 ...

native architecturesTrack record of leading ML/AI technical initiatives across multiple teamsStrong 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 ...

machine learning solutions in Python Solid understanding of the Python ML ecosystem including libraries such as NumPy, pandas, and scikit learn, with exposure to PyTorch or TensorFlow Experience building and deploying containerised services and APIs Working knowledge of SQL and data driven application development Hands on experience with at least ...

Experience supporting model deployment into production environments Strong analytical and problem-solving skills Excellent communication and stakeholder engagement skills Technology Stack Python, SQL, Databricks, PyTorch, Transformers/LLMs, Prompt Engineering, Pandas, Spark, AWS, Azure, PostgreSQL, FastAPI, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote UK-based ...

Looking For Strong software engineering background (Python essential) Demonstrated success delivering production-ready AI/ML solutions Hands-on experience with frameworks such as PyTorch, TensorFlow, or Scikit-Learn Solid understanding of MLOps and scalable deployment practices Experience with at least one major cloud platform (Azure, AWS, or GCP) Comfortable ...

optimisation Tech environment Key technologies include: Python Azure Databricks Generative AI/LLM frameworks Agentic AI tooling and orchestration frameworks LangChain/LangGraph PyTorch and ML libraries REST APIs Docker and containerisation CI/CD pipelines Git-based development workflows What we're looking for 4-6 years' experience within ...

solutions. What You’ll Bring Strong Python coding skills. Hands‐On AI/ML Expertise: Built and deployed machine learning models using frameworks like PyTorch, TensorFlow, or scikit‐learn. LLM Expertise: Experienced in working with large language models, including prompt engineering, RAG, fine‐tuning, agents, evaluation, and safety considerations ...

technical leadership: defining multi-quarter roadmaps, leading multi-person initiatives, and driving department-level technical strategy Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX), backed by strong software engineering fundamentals (system design, CI/CD, containerization) Broad ML generalist knowledge, with practical experience spanning model training ...

technical leadership: defining multi-quarter roadmaps, leading multi-person initiatives, and driving department-level technical strategy Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX), backed by strong software engineering fundamentals (system design, CI/CD, containerization) Broad ML generalist knowledge, with practical experience spanning model training ...

technical leadership: defining multi-quarter roadmaps, leading multi-person initiatives, and driving department-level technical strategy Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX), backed by strong software engineering fundamentals (system design, CI/CD, containerization) Broad ML generalist knowledge, with practical experience spanning model training ...

technical leadership: defining multi-quarter roadmaps, leading multi-person initiatives, and driving department-level technical strategy Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX), backed by strong software engineering fundamentals (system design, CI/CD, containerization) Broad ML generalist knowledge, with practical experience spanning model training ...

technical leadership: defining multi-quarter roadmaps, leading multi-person initiatives, and driving department-level technical strategy Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX), backed by strong software engineering fundamentals (system design, CI/CD, containerization) Broad ML generalist knowledge, with practical experience spanning model training ...

technical leadership: defining multi-quarter roadmaps, leading multi-person initiatives, and driving department-level technical strategy Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX), backed by strong software engineering fundamentals (system design, CI/CD, containerization) Broad ML generalist knowledge, with practical experience spanning model training ...

technical leadership: defining multi-quarter roadmaps, leading multi-person initiatives, and driving department-level technical strategy Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX), backed by strong software engineering fundamentals (system design, CI/CD, containerization) Broad ML generalist knowledge, with practical experience spanning model training ...

technical leadership: defining multi-quarter roadmaps, leading multi-person initiatives, and driving department-level technical strategy Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX), backed by strong software engineering fundamentals (system design, CI/CD, containerization) Broad ML generalist knowledge, with practical experience spanning model training ...