This UK-based remote AI Engineer role focuses on designing, developing, and deploying enterprise-grade Azure AI solutions for scientific and business workflows. You’ll build LLM-powered chatbots and autonomous agents, integrate vector search and embeddings, and collaborate with data scientists and engineers to deliver secure, scalable AI platforms. Ideal candidates have 2+ years of AI/ML engineering experience, strong Azure expertise, and proficiency in Python, SQL, and related tools.
Responsibilities
Design and implement end-to-end AI solutions using Azure AI Foundry, Azure Machine Learning, and Cognitive Services
Develop, fine-tune, and deploy LLM-powered chatbots and autonomous AI agents
Define, maintain, and optimize AI models, data flows, and integration patterns
Collaborate with data scientists, engineers, product managers, and stakeholders to translate requirements into scalable technical solutions
Integrate AI services, vector databases, embeddings, and cloud-native technologies into secure architectures
Ensure AI solutions comply with governance standards, metadata management, and traceability requirements
Contribute to continuous improvement of AI platforms, frameworks, and engineering practices
Requirements
Bachelor's degree in Computer Science, IT, or related field, or equivalent experience
2+ years of experience in AI Engineering, Machine Learning Engineering, or a similar role
Ghost is a nonprofit, open-source blog and newsletter platform that provides tools for creators to manage publications, email newsletters, and paid subscriptions. It focuses on empowering independent creators to build direct relationships with their audience through a subscription-based model.
Strong experience designing and deploying Azure AI solutions in enterprise environments
Hands-on experience with LLMs, vector databases, embeddings, conversational AI, and autonomous agents
Proficiency in Python, PowerShell, SQL, JSON, and integrating AI services
Understanding of AI governance, metadata management, traceability, and responsible AI practices
Strong analytical, problem-solving, communication, and stakeholder engagement skills
Nice to Have
Azure AI certifications are desirable
Experience in scientific, research, or technology-driven environments is advantageous
Tech Stack
PythonVector DatabasesEmbeddingsSQLLarge Language ModelsAI AgentsAzure Machine LearningAzure AI FoundryConversational AIAzure Cognitive ServicesAI governanceResponsible AI