Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Director of Generative AI | Remote

Milton, Cambridgeshire
7 months ago
Applications closed

Related Jobs

View all jobs

Pricing Data Science Lead- SME

Head of Artificial Intelligence (AI)

Software Engineer - (Machine Learning Engineer) - Hybrid

Head of Machine Learning and AI

Senior Data Scientist (UK)

Senior Data Scientist (UK)

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

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Jobs

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.