performing teams, delivering complex projects at pace, and proactively drives strategic initiatives that align with our ambitious growth goals. With deep experience in Azure and cloud-native architectures, you’ll shape our platform roadmap, improve reliability and scalability, and foster a culture of ownership, collaboration, and continuous improvement. … managing configurations as code, and proactively mitigating risks across all production environments. • Maintain and improve FinOps best practices to monitor, optimise, and forecast Azure cloud spend—ensuring cost efficiency without compromising reliability, scalability, or performance. Platform Strategy: • Develop and execute a forward-looking platform engineering strategy aligned with … performing Platform Engineering, DevOps, or SRE teams, in a SaaS environment. · Deep expertise in Microsoft Azure services, including Azure Functions, AKS, ADF, Cosmos DB, Azure DevOps, and Infrastructure as Code (e.g. Terraform) and good open source knowledge e.g. PostgreSQL · Strong people leadership and More ❯
Engineer (Agentic AI & LLM Specialist) Location: UK-based, fast-growing technology consultancy specialising in the energy sector Cloud Experience: Must have AWS or Azure (certifications desirable) Management: No direct line management required (unless preferred) Consultancy/Energy Experience: Highly beneficial, non-essential Visa Sponsorship: Not currently available; right … AI architectures and LLM frameworks. End-to-End AI Delivery Design, build, and maintain scalable AI and LLM-based pipelines using AWS or Azure services (e.g., SageMaker, Azure ML, Databricks, OpenAI integrations). Oversee AI model lifecycles from data preprocessing and prompt engineering through to deployment … Skills Agentic AI & LLMs: Hands-on experience building, deploying, and managing large language models and agent-based AI workflows. Cloud AI (AWS/Azure): Demonstrated experience delivering AI solutions in production cloud environments. Advanced Python: Expertise in developing efficient, production-grade AI/ML code. LLMOps & AI Model More ❯
on building and maintaining the infrastructure to support the full data science lifecycle from data ingestion to model deployment, monitoring, and upgrades within Azure and Databricks environments. The engineer will work closely with data scientists in a collaborative, cross-functional setting, helping transition models from research into production. … Python code. Apply software engineering best practices, CI/CD, TDD. Required Skills: Proficiency in Python, Databricks, and Azure. Experience with deployment tools (e.g., AKS, managed endpoints). Strong software engineering background (CI/CD, VCS, TDD). Ability to integrate ML into business workflows. Desirable: Background in quantitative More ❯
