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Digital Catapult

Lead AI/ML Technologist

Digital Catapult

Lead AI/ML research, intellectual property and funded R&D projects at Digital Catapult. Building academic and industry partnerships across agentic, neuro-symbolic and advanced machine learning.

Posted 8/20/2026full-timeLondon • 🇬🇧 United KingdomSenior💰 £80,000 - £90,000 per yearWebsite

Core Competencies

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Core Competencies

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Demonstrates expertise in AI/ML research and project delivery, with a strong focus on agentic AI, neuro-symbolic AI, and reinforcement learning. Proven ability to lead teams, mentor junior members, and develop strategic partnerships while effectively communicating complex concepts to diverse audiences.

Highest-signal resume keywords
PhD In AI/MLAI/ML Research ExperienceLeadership SkillsMachine Learning TechnologiesBaseline Personnel Security Standard (BPSS) Clearance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Agentic AINeuro-Symbolic AIReinforcement LearningPhysics-Informed Neural NetworksProbabilistic ReasoningUncertainty QuantificationDeep LearningData ScienceTechnical ArchitectureAI/ML Project Delivery
Soft Skills
Analytical SkillsCommunication SkillsProactive AttitudeAdaptabilityCollaboration
Certifications & Qualifications
Baseline Personnel Security Standard (BPSS) Clearance
Industry Keywords
AI ResearchR&D Funding ProposalsInnovate UKEPSRCARIAHorizon EuropeOpen InnovationTechnical Consulting

About the role

Key responsibilities & impact
  • Report to the Director of Technology AI
  • Contribute as a key member of the Advanced AI team, Digital Catapult’s core AI research unit
  • Lead original AI/ML research at Technology Readiness Level 3 and above
  • Develop intellectual property and organisational capabilities in cutting-edge AI technologies
  • Build academic and industry partnerships bridging early-stage research and industrial application
  • Develop industrial R&D funding proposals for Innovate UK, EPSRC, ARIA and Horizon Europe
  • Lead delivery of R&D projects
  • Contribute to the AAIT AI research strategy, AI Technology Roadmap and Radar
  • Own and define a research area and plan aligned with other Digital Catapult teams
  • Mentor junior team members in AI and operations
  • Participate in open innovation activities as an AI/ML expert
  • Provide technical consulting to startups and corporates
  • Act as an AI thought leader and source of expertise across the organisation

Requirements

What you’ll need
  • PhD in AI/ML, AI or related field, with demonstrated ability to conduct research at that level
  • Research experience particularly in agentic AI, neuro-symbolic AI, reinforcement learning, machine learning, physics-informed neural networks, probabilistic reasoning and uncertainty quantification
  • Experience delivering complex AI/ML projects in industry
  • Strong leadership, analytical and communication skills
  • Experience presenting research to business, technical and political audiences
  • Ability to present complex issues simply
  • Broad technical architecture and hands-on experience with machine learning, deep learning and data science technologies, algorithms, software tools and hardware
  • Proactive, self-confident and adaptable, with ability to handle ambiguity and changing priorities
  • Ability to identify new opportunities and work collaboratively
  • Successful completion of Baseline Personnel Security Standard (BPSS) clearance before employment

Benefits

Comp & perks
  • UK’s Top 100 Best Workplaces recognition
  • Disability Confident Committed Level 1 Employer
  • 25 days annual leave, Bank Holidays and 3 days between Christmas and New Year
  • Double-matched pension up to 10% of salary
  • Discretionary company bonus
  • 4% of salary benefits allowance, including health cash plan, Private Medical Insurance, buying holiday and topping up pension
  • E-Vehicle Scheme
  • Cycle2Work
  • Tech Scheme
  • Gym Discounts
  • Give As You Earn
  • PerkPal
  • Life insurance 4x salary
  • Free EAP & Financial Wellbeing advice
  • Enhanced maternity and paternity leave
  • Hybrid working with offices available from 2 days per week
  • Ongoing learning and development investment
  • Company social events
  • Free office snacks
  • Employee-led affinity groups and Equity, Diversity and Inclusion initiatives
  • Football team, running and climbing groups, and volunteering activities