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- Tasks: Lead AI strategy and develop innovative AI-driven solutions like chatbots.
- Company: Leading SaaS provider in the UK with a focus on innovation.
- Benefits: Hybrid work flexibility, competitive salary, and collaborative culture.
- Why this job: Shape the future of AI while working in a dynamic and supportive environment.
- Qualifications: 7+ years in software engineering with expertise in AI/ML products.
- Other info: Opportunity to collaborate across teams and drive impactful projects.
The predicted salary is between 48000 - 72000 £ per year.
A leading SaaS provider in the UK is seeking an AI Engineering Lead to define and implement their AI roadmap. The role involves leading the AI strategy, developing AI-driven solutions such as chatbots and analytics, and collaborating across product and engineering teams.
Ideal candidates should have over 7 years of software engineering experience, with proven expertise in AI/ML products and frameworks. Join a collaborative environment that values innovation and offers hybrid work flexibility.
AI Engineering Lead — Remote (UK), Monthly In‐Person Day in London employer: Akixi
Contact Detail:
Akixi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineering Lead — Remote (UK), Monthly In‐Person Day in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI-driven projects, like chatbots or analytics tools. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on common AI/ML questions and be ready to discuss your past experiences. We want to see how you think and solve problems, so practice articulating your thought process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace AI Engineering Lead — Remote (UK), Monthly In‐Person Day in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how your experience aligns with our vision and how you can contribute to our innovative projects.
Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML products and frameworks. We’re looking for someone with over 7 years of software engineering experience, so don’t be shy about showcasing your achievements in this area!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the AI Engineering Lead role. Share specific examples of your past work and how it relates to leading AI strategies and developing solutions like chatbots.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our collaborative environment.
How to prepare for a job interview at Akixi
✨Know Your AI Stuff
Make sure you brush up on the latest AI/ML frameworks and products. Be ready to discuss your past projects in detail, especially those that showcase your leadership in developing AI-driven solutions like chatbots or analytics.
✨Showcase Collaboration Skills
Since this role involves working across product and engineering teams, prepare examples of how you've successfully collaborated in the past. Highlight any cross-functional projects where you led a team or contributed significantly.
✨Understand the Company’s AI Roadmap
Do your homework on the company’s current AI initiatives and future goals. This will not only show your interest but also allow you to align your experience with their vision during the interview.
✨Prepare for Technical Questions
Expect some technical questions related to AI and software engineering. Brush up on key concepts and be ready to solve problems on the spot. Practising coding challenges can help you feel more confident.
