Director of Generative AI | Remote

CV-Library
Milton, Cambridgeshire, Cambridgeshire
14 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

Director of Engineering (ML Platform), London

Isomorphic Labs London, United Kingdom
On-site

Principal Data Scientist

Faculty AI London, United Kingdom
Hybrid

Regional Director of Sales

Synthesia New York City, New York, United States
Hybrid

Regional Director of Strategic Sales UK&I

Synthesia London, United Kingdom
Hybrid

Regional Director of Sales, Mid Market

Synthesia New York City, New York, United States
Hybrid

Director, UKI Marketing

Databricks London, United Kingdom
Posted
9 Apr 2025 (14 months ago)

Director of Generative AI | Fully remote | Great Comp 

A pioneering technology organization is seeking a visionary Director of Generative AI Engineering. In this key leadership position, you will spearhead the integration of generative AI into sophisticated, science-based products and services. If you’re passionate about pushing the boundaries of innovation and eager to lead a talented, cross-disciplinary team, this role offers an exceptional opportunity to shape the future of AI-driven solutions.

Key Responsibilities
Strategic Innovation: Drive the company’s AI roadmap, adopting cutting-edge technologies and methodologies to enhance product capabilities.
Technical Leadership: Architect, develop, and deploy scalable generative AI solutions, integrating them with existing scientific and engineering platforms.
Cross-Functional Collaboration: Partner with diverse teams, from research and operations to finance and commercial, to ensure seamless AI adoption across the organization.
Team & Culture Building: Mentor and develop internal AI expertise, fostering an environment of continuous learning and scientific rigor.
Thought Leadership: Stay ahead of industry trends and serve as a visible advocate for generative AI, representing the company in external forums and shaping broader strategic initiatives.
Qualifications & Experience
Deep AI Expertise: Proven track record in designing and implementing generative AI and related ML technologies.
Scientific Rigor: Comfortable working with data-intensive, science-focused applications in fields like chemistry, process engineering, or similar domains.
Leadership & Collaboration: Demonstrated success leading interdisciplinary teams and aligning AI strategies with broader business goals.
Technical Background: Graduate degree (Ph.D. preferred) in AI, Machine Learning, Computer Science, Chemical Engineering, or a closely related field.
Innovation & Execution: Skilled in rapid prototyping and scalable deployment of AI solutions, balancing agility with robust scientific methodology.
Why Join?
High Impact: Shape mission-critical AI initiatives that redefine how complex scientific and engineering challenges are solved.
Innovative Culture: Work in an environment that values research excellence, collaboration, and continuous improvement.
Career Growth: Lead the charge on emerging AI technologies, positioning yourself at the forefront of innovation in a fast-evolving industry

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.