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- Tasks: Lead AI model development and deployment in a hands-on, impactful role.
- Company: Join a cutting-edge startup revolutionising digital security with innovative AI technology.
- Benefits: Equity consideration and the chance to shape the future of user authentication.
- Why this job: Be part of a groundbreaking team transforming security through behavioural biometrics.
- Qualifications: Experience in behavioural biometrics or large-scale sensor/time-series data is essential.
- Other info: This role offers a unique opportunity to influence the AI landscape.
The predicted salary is between 54000 - 84000 £ per year.
Want to be part of a groundbreaking AI tech startup set to revolutionise user authentication to digital DNA? Our client leverages behavioural biometric interactions and powerful AI to create unique user profiles for seamless security.
We want to hear from you if you are experienced in behavioural biometrics or large-scale sensor/time-series data. Our client is a cutting-edge technology startup redefining authentication through groundbreaking behavioural biometrics and a new field of AI. Due to continued investment and ambitious growth plans, they seek a Senior AI / ML Engineer leader to play a pivotal role in AI Development.
We seek a Senior AI / ML Engineer Leader to develop and deploy AI models in a high-impact, hands-on role. As the most Senior Machine Learning Engineer, you will be instrumental in managing the entire lifecycle of ML models—from data exploration and development to deployment, monitoring, and ongoing enhancement.
We are looking for candidates with expertise in sensor-based data, large behaviour data, or behavioural biometrics. Ideal applicants will have experience analysing and interpreting complex behavioural data to drive...
Senior AI / ML Engineer Leadership Role employer: 55 Exec Search
Contact Detail:
55 Exec Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI / ML Engineer Leadership Role
✨Tip Number 1
Familiarise yourself with the latest trends in behavioural biometrics and AI technologies. Being well-versed in current advancements will not only boost your confidence during discussions but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the AI and machine learning community. Attend relevant meetups, webinars, or conferences to connect with industry leaders and gain insights that could set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your hands-on experience with large-scale sensor and time-series data. Be ready to share specific examples of projects where you've successfully developed and deployed ML models, as this will highlight your practical skills.
✨Tip Number 4
Showcase your leadership abilities by discussing any previous experiences where you've led a team or project. Emphasising your capacity to manage the entire lifecycle of ML models will resonate well with the hiring team.
We think you need these skills to ace Senior AI / ML Engineer Leadership Role
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and ML, particularly focusing on behavioural biometrics and sensor-based data. Use specific examples of projects you've worked on that relate to the job description.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how you can contribute to the startup's mission. Mention any relevant leadership experience and your approach to managing ML model lifecycles.
Showcase Relevant Projects: If you have worked on projects involving large-scale sensor or time-series data, be sure to include these in your application. Describe your role and the impact of your work on the project's success.
Highlight Continuous Learning: Given the fast-paced nature of AI, mention any recent courses, certifications, or workshops you've completed that are relevant to the role. This shows your commitment to staying updated in the field.
How to prepare for a job interview at 55 Exec Search
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with AI and ML technologies, particularly in behavioural biometrics and sensor-based data. Highlight specific projects where you've developed or deployed models, and be ready to explain your thought process and the impact of your work.
✨Demonstrate Leadership Skills
As this is a leadership role, it's crucial to showcase your ability to lead teams and projects. Share examples of how you've successfully managed teams, mentored junior engineers, or driven projects from conception to completion.
✨Understand the Company's Vision
Research the startup's mission and vision regarding user authentication and behavioural biometrics. Be ready to discuss how your skills align with their goals and how you can contribute to their groundbreaking work in AI.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice explaining your approach to tackling complex data challenges, and consider discussing any innovative solutions you've implemented in past roles.
