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LGC

AI Delivery Lead

LGC

AI Delivery Lead overseeing the delivery of AI and machine learning projects at life sciences company. Leading teams to achieve project goals and ensuring alignment with business objectives.

Posted 7/24/2026full-timeRemote • 🇬🇧 United KingdomSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading AI and machine learning project delivery, utilizing Agile and Waterfall methodologies while ensuring effective team management and risk mitigation. Proficient in budget management and resource planning to optimize project outcomes.

Highest-signal resume keywords
AI And Machine Learning Project LeadershipDelivery Management FrameworksTeam Leadership And DevelopmentRisk Identification And MitigationBudget Management And Cost Control

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
AI/ML ConceptsAgile MethodologyWaterfall MethodologyProject PlanningRisk AssessmentContinuous ImprovementPerformance Metrics AnalysisResource PlanningContingency PlanningDelivery Roadmaps
Soft Skills
Interpersonal SkillsCollaborationProblem-SolvingMentoringCommunication
Industry Keywords
Corporate EnvironmentsGovernanceEthical ImplementationDelivery EfficiencyCapacity Planning

About the role

Key responsibilities & impact
  • Lead the full delivery of AI and machine learning projects, ensuring timelines, budgets, and quality standards are achieved.
  • Run and mentor delivery teams, providing clear direction, support, and professional development opportunities.
  • Develop and maintain comprehensive project plans, risk registers, and delivery roadmaps using appropriate methodologies.
  • Engage with senior collaborators and clients to understand requirements, lead expectations, and communicate progress and outcomes.
  • Analyse project performance metrics and implement continuous improvement initiatives to improve delivery efficiency.
  • Coordinate prioritisation, capacity planning, and team composition to optimise project outcomes.
  • Identify and mitigate risks proactively, developing contingency plans and protocols for blocking issues.
  • Champion guidelines in AI delivery, governance, and ethical implementation across the organisation.
  • Collaborate with technical teams to ensure architectural decisions align with business objectives and delivery constraints.
  • Facilitate knowledge sharing and capability building within the delivery function.

Requirements

What you’ll need
  • Consistent track record in leading AI and machine learning projects to completion in corporate environments.
  • Demonstrated expertise in delivery management frameworks and methodologies (Agile, Waterfall, or hybrid approaches).
  • Strong people management and team leadership capabilities with experience building and developing high-performing teams.
  • Excellent collaborator management and interpersonal skills, with the ability to engage at all interpersonal levels.
  • Technical understanding of AI/ML concepts, tools, and implementation challenges.
  • Experience in budget management, resource planning, and cost control.
  • Analytical approach with strong problem-solving capabilities and attention to detail.
  • Proficiency in risk identification, assessment, and mitigation strategies.

Benefits

Comp & perks
  • Remote work arrangements
  • Professional development opportunities