Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead AI innovation by developing groundbreaking models and transforming cybersecurity products.
- Company: Join a stealth-mode startup revolutionizing cybersecurity with generative AI and data science.
- Benefits: Be part of a transformative venture with a team of elite innovators from Big Tech.
- Why this job: Tackle monumental challenges and make a massive impact on global cybersecurity.
- Qualifications: Expert-level knowledge in machine learning, proven experience in AI model building, and a top-notch education.
- Other info: Work in a fast-paced environment with opportunities for rapid innovation and collaboration.
The predicted salary is between 54000 - 84000 £ per year.
Founding AI Engineer (Cybersecurity)
We’re excited to partner with a groundbreaking stealth-mode cybersecurity startup, led by visionary experts in the field. They are developing an innovative platform that combines the power of generative AI with state-of-the-art data science to address some of today’s most complex security challenges for businesses worldwide.
This is a unique opportunity to be part of a transformative venture. As the Lead AI Engineer, you’ll be at the forefront of revolutionizing the application of Generative AI (LLMs and Agents) in cybersecurity, driving cutting-edge innovations, and delivering impactful solutions to real-world problems.
What You’ll Be Doing
- Lead the Charge in AI Innovation: Architect and develop groundbreaking AI models that push the boundaries of what\’s possible.
- Transform Products: Implement state-of-the-art machine learning techniques to shape the future of cybersecurity products.
- Design Smart Systems: Create workflows that blend cutting-edge libraries like LangGraph, harnessing both proprietary and open-source models.
- Build the Future of AI Solutions: Play a pivotal role in developing AI-driven products powered by LLMs and deep learning, revolutionising how security teams operate.
- Collaborate to Drive Impact: Work closely with cross-functional teams to seamlessly integrate your AI solutions, ensuring they have real-world impact.
- Optimise for Performance: Partner with data specialists to streamline data pipelines, enabling faster and more efficient model training and deployment.
- Experiment, Iterate, and Improve: Run experiments to rigorously test, refine, and perfect AI models, ensuring top-tier performance.
What You Bring to the Table
- Expert-Level Knowledge: Deep understanding of machine learning fundamentals, enabling you to think creatively and solve complex problems.
- Proven Track Record: Several years of hands-on experience building AI models, with a particular focus on SaaS products.
- Technical Mastery: Fluency in frameworks like TensorFlow or PyTorch, allowing you to develop and deploy high-performance models.
- LLM Expertise: Practical experience working with LLMs, RAG, and fine-tuning techniques that keep you at the cutting edge of AI.
- Problem-Solving Prowess: Thrive in fast-paced, high-growth environments where your creativity and technical skills are put to the test.
- Exceptional Communication: Ability to collaborate across teams and clearly convey complex ideas to diverse stakeholders.
- Rapid Innovation: Quick to prototype and iterate on MVPs, constantly testing and validating new ideas to accelerate product evolution.
- Top-Notch Education: Master’s or PhD in AI, machine learning, or a related field from a prestigious institution.
Why This Opportunity Rocks
- Tackle Monumental Challenges: You’ll be using Generative AI to solve some of the biggest cybersecurity problems, working on the frontier of a rapidly evolving field.
- Join a Team of Visionaries: Work alongside a team of elite innovators from Big Tech and successful startups, all driven by a passion for reshaping cybersecurity.
- Make a Massive Impact: Your contributions will help organisations worldwide strengthen their security, reduce risk, and create safer digital ecosystems. Be part of something that truly matters!
Heart Mind Talent | Lead AI Engineer employer: Heart Mind Talent
Contact Detail:
Heart Mind Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Heart Mind Talent | Lead AI Engineer
✨Tip Number 1
Familiarize yourself with the latest advancements in generative AI and cybersecurity. Stay updated on trends and breakthroughs in these fields, as this knowledge will help you stand out during discussions and interviews.
✨Tip Number 2
Network with professionals in the AI and cybersecurity sectors. Attend relevant conferences, webinars, or meetups to connect with industry leaders and gain insights that could be beneficial for your application.
✨Tip Number 3
Showcase your hands-on experience with AI models by working on personal projects or contributing to open-source initiatives. This practical experience can demonstrate your skills and passion for the field.
✨Tip Number 4
Prepare to discuss your problem-solving approach in high-pressure environments. Be ready to share specific examples of how you've tackled complex challenges in previous roles, as this will highlight your fit for the fast-paced nature of the job.
We think you need these skills to ace Heart Mind Talent | Lead AI Engineer
Some tips for your application 🫡
Understand the Role: Dive deep into the job description to fully grasp the responsibilities and requirements of the Lead AI Engineer position. Tailor your application to highlight how your skills and experiences align with their needs.
Showcase Your Expertise: In your CV and cover letter, emphasize your expert-level knowledge in machine learning and your proven track record in building AI models, particularly for SaaS products. Use specific examples to demonstrate your technical mastery.
Highlight Collaboration Skills: Since the role involves working closely with cross-functional teams, make sure to illustrate your exceptional communication skills and ability to collaborate effectively. Mention any relevant experiences where you successfully worked with diverse stakeholders.
Demonstrate Innovation: Share instances where you've rapidly prototyped and iterated on AI solutions. Highlight your problem-solving prowess in fast-paced environments, showcasing how you’ve tackled complex challenges in previous roles.
How to prepare for a job interview at Heart Mind Talent
✨Showcase Your AI Expertise
Be prepared to discuss your deep understanding of machine learning fundamentals and how you've applied them in real-world scenarios. Highlight specific projects where you built AI models, especially those related to SaaS products.
✨Demonstrate Technical Mastery
Familiarize yourself with frameworks like TensorFlow or PyTorch. Be ready to explain your experience with these tools and how you've used them to develop high-performance models. Consider bringing examples of your work to illustrate your technical skills.
✨Communicate Clearly
Since exceptional communication is key, practice explaining complex AI concepts in simple terms. Think about how you can convey your ideas to diverse stakeholders, ensuring that everyone understands the value of your contributions.
✨Emphasize Collaboration
Prepare to discuss your experience working in cross-functional teams. Share examples of how you've collaborated with data specialists or other departments to integrate AI solutions effectively, showcasing your ability to drive impact through teamwork.
