C++ / Python Developer

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. Key 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: • 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: • 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.