At a Glance
- Tasks: Lead AI initiatives and integrate advanced capabilities into innovative products.
- Company: Top SaaS analytics provider in the UK with a focus on AI and ML.
- Benefits: Hybrid work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Enjoy a monthly in-person day to connect with your team.
- Why this job: Join a dynamic team to shape the future of business communication analytics.
- Qualifications: Strong software engineering and AI/ML development experience required.
The predicted salary is between 48000 - 72000 £ per year.
A leading SaaS analytics provider in the UK is seeking a Lead AI Engineer to drive their AI and ML strategy. You will own and implement advanced AI capabilities integrating into their products, collaborating closely with cross-functional teams.
Candidates should have substantial software engineering experience and a strong background in AI/ML development. This role offers hybrid work flexibility, allowing you to innovate in transforming business communication analytics.
Lead AI Engineer — Remote (UK) with Monthly In-Person Day in London employer: Akixi
As a leading SaaS analytics provider in the UK, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our hybrid work model not only offers flexibility but also promotes a strong sense of community through monthly in-person days, ensuring that our employees have ample opportunities for professional growth and development in the rapidly evolving field of AI and ML.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer — Remote (UK) with Monthly In-Person Day in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or other platforms. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your AI/ML expertise. This will not only impress during interviews but also demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms. Focus on articulating your thought process when tackling AI challenges, as this is key for a Lead AI Engineer role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead AI Engineer — Remote (UK) with Monthly In-Person Day in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your software engineering experience and any AI/ML projects you've worked on. We want to see how you can drive our AI strategy!
Tailor Your Application:Don’t just send a generic CV! Customise your application to reflect the job description. Mention how your experience aligns with our needs in the SaaS analytics space.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make it easy for us to see why you're the perfect fit for the Lead AI Engineer role.
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 don’t miss out on any important updates!
How to prepare for a job interview at Akixi
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI and ML. Be ready to discuss your previous projects and how they relate to the role. This shows you're not just knowledgeable but also passionate about the field.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you can bridge gaps between technical and non-technical team members.
✨Prepare for Technical Questions
Expect some deep dives into your technical expertise. Brush up on algorithms, data structures, and any relevant programming languages. Practising coding problems or discussing your thought process on AI solutions can really set you apart.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s AI strategy. Inquire about their current challenges or future projects. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
