About this role
Salary: £? - ? per year
Requirements: Strong commercial experience in Python development and PyTorch.Hands-on Google Cloud Platform (GCP) cloud engineering experience.Understanding of transformer architectures, large language models (LLMs), generative AI, and retrieval-augmented generation (RAG).Experience developing AI agents using frameworks or architectures such as ReAct.Practical experience with Docker, cloud databases, and containerized applications.Knowledge of MLOps, CI/CD, model deployment, monitoring, and production AI systems.Experience with Vertex AI, KServe, GPU workloads, and scalable cloud infrastructure.Strong debugging, problem-solving, and technical stakeholder communication skills. Responsibilities: Design, develop, test, and deploy AI and machine learning applications using Python, PyTorch, and GCP.Build and integrate generative AI solutions using transformer architectures, RAG, and agent-based frameworks such as ReAct.Package, containerize, and serve machine learning models using Docker, KServe, and Vertex AI endpoints.Implement CI/CD pipelines, model registries, feature stores, model monitoring, and drift detection.Optimize cloud infrastructure through GPU scheduling, autoscaling, and cost-efficient model deployment.Support canary deployments, shadow deployments, and A/B testing.Perform root cause analysis, troubleshoot technical issues, and optimize application performance.Collaborate with engineering teams, project managers, and stakeholders throughout the software development lifecycle.Produce technical documentation and support application integration and deployment. Technologies: AIAI AgentsCI/CDCloudDockerGCPSupportMachine LearningMLOpsPyTorchPythonRAGReact More:
We are recruiting an experienced AI and Machine Learning Engineer for a contract opportunity focused on developing, deploying, and optimizing scalable AI and machine learning solutions in a cloud-based environment. The role offers the opportunity to contribute to technically challenging projects using modern cloud technologies and production-scale generative AI solutions.
last updated 41 week of 2026