Staff AI/ML Engineer

ENSEK builds the cloud‑native SaaS software that’s transforming how energy retailers operate, innovate and manage at scale.

We help retailers lower operating costs, improve billing accuracy for consumers, and enhance customer experience through automation and AI‑driven insight, all underpinned by modern, cloud‑native architecture.

ENSEK is at an exciting inflection point as we scale at pace towards new international horizons. If you’re driven by solving complex, real‑world problems and want to build modern technology that accelerates the global energy transition, you’ll feel right at home with us.

About the role

We're looking for a Staff AI/ML Engineer to become the founding technical lead for ENSEK's AI/ML Platform.

This is a unique opportunity to shape a new strategic capability from the ground up. You'll lead the design, architecture and evolution of the shared platform that enables product teams across ENSEK to safely build, deploy and operate Machine Learning, Generative AI and Agentic AI solutions at scale.

Working closely with Data Scientists, Platform Engineers and Data Engineers, you'll define the technical direction, standards and golden paths that allow teams to move from experimentation to production with confidence. You'll also play a key role in building the team, culture and operating model that will support AI innovation across the organisation for years to come.

As a Staff AI/ML Engineer, you will

Lead the architecture, technical strategy and roadmap for ENSEK's AI/ML Platform, evolving it into a scalable capability used across multiple product domains.

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

Establish standards for model lifecycle management, prompt versioning, deployment, serving, retrieval-augmented generation (RAG), orchestration and secure tool access.

Build robust MLOps and LLMOps capabilities, including evaluation frameworks, experimentation tooling, observability, monitoring and cost management.

Create and maintain registries for AI products, models and prompts to ensure visibility, governance and operational excellence.

Partner closely with Data Scientists to operationalise machine learning models, GenAI applications and agentic workflows into reliable production services.

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

Embed security, governance, compliance and responsible AI practices into the platform from day one.

Collaborate with Legal, Cyber Security, Risk and Product teams to ensure AI solutions remain safe, explainable and auditable within regulated environments.

Mentor ML Engineers and other developers across the organisation while helping establish engineering standards and best practices.

Contribute to the long-term growth, structure and operating model of ENSEK's AI Engineering capability.

You'll know you're making an impact when

The platform's first AI-powered capabilities are running successfully in production and delivering measurable business value.

Multiple product teams are building, deploying and operating AI solutions through the platform's approved patterns and tooling.

AI products are consistently governed, observable and measurable through standardised evaluation, monitoring and reporting.

Every production AI capability is registered, auditable and supported by appropriate safety guardrails.

Teams have clear guidance on model selection, hosting approaches and platform capabilities.