Reliability Engineer SME (M&E) (AI Infrastructure)

Location: London; regular site travel required across EMEA.

Company

Nscale provides a GPU cloud infrastructure platform for AI start-ups and enterprise customers.

What you will do

• Act as the technical escalation point for mechanical and electrical systems across owned, operated, and third-party data centres.
• Set maintenance and engineering standards, review designs and vendor documentation, and provide technical input to procurement and service contracts.
• Support AI infrastructure teams with high-density GPU rack cooling and power distribution systems.
• Approve technical changes, audit sites and colocation facilities, and assess resilience, maintainability, compliance, and operational risk.
• Support live incident response, lead root cause analysis and corrective and preventive actions, and drive resolution of recurring faults.
• Maintain the standards library, train operations teams, support site mobilisation and due diligence, and contribute to capacity, thermal, lifecycle, and energy-efficiency planning.

Requirements

• Strong building services engineering background in critical environments, with deep hands-on expertise in mechanical or electrical systems and working knowledge of the other discipline.
• Experience with data centre cooling systems such as chillers, CRAC/CRAH units, air handling, piping, and secondary cooling loops, or with LV/HV distribution, UPS, generators, switchgear, and protection systems.
• Experience conducting M&E design reviews, technical audits, and engineering standards compliance reviews in critical infrastructure or colocation environments.
• Experience approving changes on live M&E systems and understanding the associated operational risks.
• Experience with RCA and CAPA after M&E incidents, structured problem solving, incident support, and coaching operational engineers.
• Strong communication skills for explaining technical electrical concepts and holding vendors and contractors accountable.

Nice to have

• HV Authorised Person status or progress toward authorisation.
• Experience with liquid cooling and high-density AI/GPU compute.
• Chartered or Incorporated Engineer status, or an equivalent recognised qualification.
• Experience with thermal and power capacity modelling for GPU deployments.
• Experience across owned and operated data centres and third-party colocation environments.

Culture & Benefits

• Collaborative, supportive, and innovative working environment focused on ownership and accountability.
• Competitive package including base salary, bonus, and equity.
• Compensation reviews every 12 months.
• Flexible workplace focused on employee autonomy.
• Progression plan tailored to professional ambitions.