Overview
Contract C++/Python Developer - Machine Learning, GPU Integration, Docker (Remote, UK-Based)
Location: Fully Remote (UK-based only)
Contract Length: Initial 6 months (likely extension)
Day Rate: £450 per day, Outside IR35
Start Date: ASAP
Overview
We're working with a cutting-edge technology company that's developing advanced machine learning products at scale. They're looking for an experienced C++/Python Developer with strong GPU integration experience to support the integration of a Python-based application into GPU kernels, helping accelerate complex ML workloads and workflows.
This is a hands-on contract role for someone who thrives at the intersection of high-performance C++ development, machine learning, and infrastructure automation - working with modern tooling and pushing the limits of GPU-based compute.
Responsibilities
* Integrate and optimise Python-based applications with GPU kernels (C++ and CUDA C).
* Work on performance tuning and low-level GPU memory management.
* Build and maintain containerised development and deployment workflows using Docker.
* Develop APIs and integrate with existing machine learning pipelines and Back End systems.
* Collaborate with ML engineers and DevOps teams to streamline model deployment and runtime performance.
* (Desirable) Integrate large language models (LLMs) such as ChatGPT or similar into products and services.
Skills & Experience Required
Essential Qualifications
* Proven commercial experience in C++ and Python development.
* Hands-on experience integrating Python-based applications into GPU kernels using C++/CUDA C.
* Strong knowledge of GPU programming, memory management, and performance optimisation.
* Experience dockerising applications and working with container-based workflows.
* Experience building and integrating APIs for data or ML services.
* Strong understanding of machine learning pipelines and integration between data science and production environments.
* UK-based and available for remote contract work.
Desirable Qualifications
* Experience with LLM integration (e.g., OpenAI, ChatGPT API, or similar).
* Familiarity with Kubernetes, CI/CD pipelines, or cloud deployment (AWS/GCP/Azure).
* Prior experience in start-up, R&D, or high-performance computing environments.
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