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.