Staff AI/ML Engineer

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Oversee the architecture, technical strategy, and roadmap for ENSEK's AI/ML Platform.

• Design and develop production-ready golden paths for Machine Learning, GenAI, and Agentic AI solutions.

• Set standards for model lifecycle management, prompt versioning, deployment, serving, RAG, orchestration, and secure tool access.

• Build MLOps and LLMOps capabilities, including evaluation frameworks, experimentation tools, observability, monitoring, and cost management.

• Create and manage registries for AI products, models, and prompts.

• Collaborate with Data Scientists to operationalize machine learning models, GenAI applications, and agentic workflows into dependable production services.

• Define patterns for human-in-the-loop workflows, confidence-based routing, and AI safety mechanisms.

• Integrate security, governance, compliance, and responsible AI practices into the platform.

• Work alongside Legal, Cyber Security, Risk, and Product teams to ensure AI solutions are safe, explainable, and auditable within regulated environments.

• Mentor ML Engineers and developers throughout the organization.

• Assist in establishing engineering standards, best practices, and the AI Engineering operating model.

• Build the team, culture, and operational model that supports AI innovation across ENSEK.

• Empower product teams to build, deploy, and operate AI solutions at scale using approved patterns and tools.

⛳️ Requirements

• Extensive experience as an AI Engineer, ML Engineer, Software Engineer, or Technical Lead delivering production Machine Learning and AI solutions.

• Proven experience operating at Staff Engineer, Principal Engineer, or an equivalent technical leadership level.

• In-depth expertise in MLOps and production machine learning platforms, including model deployment, serving, monitoring, evaluation, and lifecycle management.

• Demonstrated experience in building and running applications powered by Large Language Models (LLMs).

• Strong practical experience with Retrieval-Augmented Generation (RAG), prompt engineering, evaluation frameworks, and agentic AI workflows.

• Excellent software engineering skills, preferably in Python.

• Experience in designing distributed systems and production services.

• Proven experience in building and operating cloud-native services on AWS using containers, Kubernetes, Infrastructure as Code, and CI/CD practices.

• Solid understanding of platform engineering principles, developer experience, and self-service platform design.

• Experience implementing AI governance, model safety, privacy controls, and responsible AI practices.

• Ability to make pragmatic technical decisions while balancing performance, cost, scalability, and risk.

• Exceptional communication and stakeholder management skills, capable of explaining technical concepts and trade-offs to both technical and non-technical audiences.

• Experience with MCP (Model Context Protocol) or similar emerging standards is a plus.

• Experience in building enterprise AI platforms that support multiple product teams is a plus.

• Familiarity with lakehouse data platforms and data engineering ecosystems is a plus.

• Knowledge of regulated industries such as Energy, Utilities, Financial Services, or Healthcare is a plus.

• Experience working with Agentic AI architectures and tool-using AI systems is a plus.

• Awareness of emerging AI observability, evaluation, and governance tools is a plus.

🏝️ Benefits

• 25 days of holiday plus bank holidays.

• Option to purchase or sell 5 additional annual leave days each year.

• Vitality Health Insurance, which includes private healthcare, virtual GP access, mental health support, and wellness perks.

• 50% discount on gym memberships (Virgin Active, Nuffield, PureGym).

• Pension plan with a 5% matched contribution.

• Regular team-wide and company-wide events.

• Two volunteering days each year to contribute back to the community.

• Remote-first working environment with offices located in London and Nottingham.