5 of 5 PyTorch Jobs in Warrington

Location: Manchester, England Role: Generative AI Engineer Key Skills Required: 4+ years software engineering + 2+ years ML/AI Python + PyTorch/TensorFlow + Transformers Experience deploying LLM apps in production Frontend skills (React, TypeScript) Strong understanding of APIs, microservices, cloud, Docker/K8s Prompt engineering, RAG experience ...

gaps, refine routing logic What we expect: Proficiency in Python programming and experience with Python data science frameworks Familiarity with common ML frameworks (e.g., PyTorch, Keras) and libraries (e.g., NumPy, scikit-learn) Experience with LLM agents including tool using and reasoning, for instance, the combination of RAG solution and code ...

codes to new architectures. Experience with CCCL, OpenMP, OpenACC, multi-threading, MPI, PGAS. Experience with scientific and deep learning libraries and frameworks such as PyTorch, JAX, MKL, MAGMA, PETSc, Kokkos, etc. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world ...

gets excited. You'll be doing things like: Leading AI-driven travel products from concept to launch Translating ML capabilities (Python, TensorFlow, PyTorch) into tangible, user-facing solutions Collaborating with engineers using TypeScript, Node.js, React/Next.js, GraphQL Partnering with data teams working with AWS, Snowflake, Kafka, and event-driven ...

ensuring our code runs smoothly in diverse user environments. You will dive deep into Python internals and build integrations with the latest AI frameworks (PyTorch, TensorFlow, vLLM, etc.). If you love metaprogramming, understanding how imports work under the hood, and packaging libraries for thousands of users, this role … parameters, and metrics using advanced Python techniques (monkey patching, decorators, introspection). ML Framework Integration: Build and maintain deep integrations with leading AI libraries (PyTorch, TensorFlow, Keras, Hugging Face, vLLM, scikit-learn). Packaging & Distribution: Manage the build lifecycle, creating and optimizing Python wheels and Eggs, and managing releases ...