Vice President of Artificial Intelligence

Mekion Consulting
Leeds, England
7 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Forward Deployed Engineer

SolveAI London, United Kingdom
Hybrid
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom

Computational Protein Designer

Latent Labs London, United Kingdom, United Kingdom
Hybrid

Regional Director, Enterprise Sales

Multiverse London, United Kingdom
Hybrid

Sr. Software Engineer - Surface Engineering

CrowdStrike London, United Kingdom
Hybrid

Sr. Software Engineer - Surface Engineering

CrowdStrike Romania
Hybrid
Posted
14 Nov 2025 (7 months ago)

VP of AI and Machine Learning


Location: remote (UK based only)

Salary: up to £130,000



Job Purpose


We are building the DNA for Work: the data infrastructure powering fair, transparent, and AI-driven workforce decisions. You'll shape and scale the platform that makes this possible.

You'll lead our AI roadmap, from model design to data architecture, ensuring our technology remains differentiated, defensible, and enterprise ready. You will play a pivotal role in defining how our proprietary AI and platform evolves, turning complex, messy organisational data into intelligence that powers fair compensation, pay transparency, and workforce agility.

Combining strategy with hands-on leadership, you'll build the team, systems, and innovation engine that drive our next phase of growth and position us at the forefront of AI in work design.



Responsibilities


  • Translating product vision into a feasible, scalable AI and ML roadmap that deliver measurable business value and align with commercial goals
  • Designing and scaling of our AI and Machine Learning Models, combining leadership with hands-on execution
  • Ensuring reliable and responsible ML systems through strong operations and governance
  • Owning cross-functional alignment to ensure ML solutions are developed collaboratively and translated seamlessly into the core product experience
  • Leading and scaling high performing ML Team
  • Representing our technology to customers, partners & investors and across the company



Required Experience


  • In depth AI/ML & NLP architectural background
  • Experience in leading and growing ML/Data teams
  • A “product focused” approach with a background in data-heavy SaaS and/or B2B Enterprise platforms
  • A collaborative, skilled communicator with ability to influence non-technical audiences.
  • A commercially savvy with a startup mindset: hands-on, innovative, pragmatic, delivery-oriented
  • A proactive, hands-on mindset — comfortable working at pace and in a fast-changing environment.
  • Clear and confident communication skills, able to explain technical ideas to non-technical audiences.
  • Strong collaboration and stakeholder skills — you listen well and work closely with others to solve problems.
  • A focus on delivery and outcomes, with a practical and flexible approach.
  • Motivation to be part of a scaling start-up where things evolve quickly and you can have a real impact.



Start-up life is not for everyone! To really thrive with us you will be 'Start-up ready'. You are naturally proactive, open to change, have a continuous improvement mindset, are flexible, happy to go beyond your brief, enjoy working at pace and are comfortable with ambiguity.



Our values:

  • Customer Focus: we are obsessive about delivering value and reducing complexity for customers
  • Collaboration: we’re all about the team - collaborating, supporting and recognising everyone’s contributions
  • Openness & Honesty: we are open, honest, and straight-talking with each other and our customers
  • Authenticity & Humility: we bring our whole selves to work, and we have the humility and self-honesty to admit when we are wrong

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise AI Jobs in the UK (2026 Guide)

Where to advertise AI jobs UK in 2026: the specialist boards and communities that reach AI engineers, ML scientists and applied research talent in the UK. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.