CloudFactory

Artificial Intelligence

• Build and lead market growth strategy across energy operators, oilfield services companies, and energy enterprises
• Advise clients on AI adoption, from identifying high-value use cases to scaling solutions in production
• Engage C-suite and VP stakeholders as a trusted advisor
• Navigate stakeholder environments across operations, subsurface, engineering, HSE, IT, and data teams
• Develop understanding of client priorities across upstream, midstream, and downstream operations
• Own new client acquisition, account expansion, and P/L management accounts within the energy sector
• Develop and execute strategic account plans from pilot to enterprise-scale programs
• Lead consultative, executive-level sales conversations and build business cases for AI investment
• Own the commercial lifecycle from discovery through solution framing, proposal development, and executive presentations
• Navigate sector-specific buying cycles, procurement processes, and capital planning timelines
• Identify and shape AI use cases involving predictive maintenance, computer vision, safety and compliance automation, intelligent document processing, and geospatial/LiDAR/digital twin data pipelines
• Translate operational challenges into scalable AI solutions using CloudFactory capabilities
• Partner with technical and delivery teams to ensure high-quality execution and client satisfaction
• Oversee delivery alignment on scope, timelines, and outcomes
• Stay current on AI trends across the energy value chain
• Contribute to industry events, client engagements, and thought leadership
• Bring sector insights into product, delivery, and go-to-market strategy
• Lead and inspire consultants, data scientists, and engineers
• Foster collaboration between client stakeholders and internal teams
• Promote best practices in AI consulting, delivery excellence, and client engagement

Client Principal – AI Consulting, Energy, Oil & Gas

• Build and lead market growth strategy across energy operators, oilfield services companies, and energy enterprises
• Advise clients on AI adoption, from identifying high-value use cases to scaling solutions in production
• Engage C-suite and VP stakeholders as a trusted advisor
• Navigate stakeholder environments across operations, subsurface, engineering, HSE, IT, and data teams
• Develop understanding of priorities across upstream, midstream, and downstream operations
• Own new client acquisition, account expansion, and P/L management accounts within the energy sector
• Develop and execute strategic account plans from pilot to enterprise-scale programs
• Lead consultative, executive-level sales conversations and build business cases for AI investment
• Own discovery, solution framing, proposal development, and executive presentations
• Navigate sector-specific buying cycles, procurement processes, and capital planning timelines
• Identify and shape AI use cases including predictive maintenance, asset monitoring, computer vision inspection, safety and compliance automation, intelligent document processing, and geospatial/LiDAR/digital twin data pipelines
• Translate operational challenges into scalable AI solutions using CloudFactory’s capabilities
• Partner with technical and delivery teams to ensure quality execution and client satisfaction
• Oversee delivery alignment on scope, timelines, and outcomes
• Stay current on AI trends across the energy value chain
• Contribute to industry events, client engagements, and thought leadership
• Bring sector insights into product, delivery, and go-to-market strategy
• Lead and inspire consultants, data scientists, and engineers
• Foster collaboration between client stakeholders and internal teams
• Promote best practices in AI consulting, delivery excellence, and client engagement

Support Engineer

• Provide Tier 1 and Tier 2 operational support for AI/ML solutions
• Identify failed jobs, degraded pipelines, and performance anomalies
• Triage incidents, investigate issues, and coordinate escalation to Tier 3 Engineering
• Participate in on-call rotas once established
• Validate successful completion of pipelines and jobs
• Monitor data pipeline health, model execution, and basic performance metrics
• Identify operational issues before they impact customers
• Respond to or alert customers about model outages or issues
• Support incident management, rollback, and recovery activities
• Use and maintain runbooks and operational documentation
• Work with Engineering to improve supportability and observability
• Contribute to knowledge sharing to reduce single points of failure
• Work within defined SLAs and support processes
• Build quarterly business reviews on ML model health
• Evaluate champion/challenger models for promotion decisions
• Monitor model drift and performance degradation
• Validate that model updates and added data do not introduce bias
• Provide MLOps coverage through assigned shift rotas and rotational on-call work

MLOps Support Engineer

Payroll

• Process payroll fully for UK and US entities, including EOR relationships used in the US, UK and Western Europe for non-core staffing.
• Process payroll journals on Payfit and monitor the Rippling integration to ensure seamless synchronization.
• Process UK and US employee expenses in NetSuite for reimbursement via payroll.
• Process benefit invoices and manage payments for benefits, statutory deductions, and taxes.
• Reconcile all balance sheet accounts related to payroll.
• Calculate quarterly VAT.
• Calculate Group VC accruals.
• Improve finance systems.
• Perform special project work at the direction of the Group Financial Controller.
• Collaborate with stakeholders in HR, Delivery Operations, Sales, and other functions.

Financial Accountant – Payroll Manager

• Review drone imagery of commercial roofs and assess AI-generated results for accuracy.
• Identify and correct inaccurate or incomplete AI outputs using commercial roofing expertise.
• Label and annotate roof imagery according to defined project guidelines.
• Apply professional judgment to identify relevant roofing features, conditions, and potential issues visible in imagery.
• Perform quality reviews to ensure labeled data is accurate and consistent.
• Provide expert feedback on ambiguous or complex roofing scenarios.
• Help curate a high-quality dataset to improve AI model performance.

Client Principal – AI Consulting, Energy, Oil & Gas

Client Principal – AI Consulting, Energy, Oil & Gas

MLOps Support Engineer

Financial Accountant – Payroll Manager

Commercial Roofing Expert – Drone Imagery, AI Quality Review