At a Glance
- Tasks: Lead the development of AI-driven chatbots and predictive analytics.
- Company: Top SaaS analytics provider in the UK with a focus on innovation.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in AI and ML.
- Qualifications: Expertise in Python, AI frameworks, and strong collaboration skills.
- Other info: Work in a fast-paced environment with a focus on technical excellence.
The predicted salary is between 48000 - 72000 £ per year.
A leading SaaS analytics provider in the UK is looking for an AI Engineer to spearhead their AI and ML strategy. You will lead the development of AI-driven capabilities such as chatbots and predictive analytics within their platform.
The role requires expertise in Python, AI frameworks, and strong collaboration skills, ensuring that AI initiatives achieve tangible business outcomes. This opportunity allows you to work flexibly in a dynamic team focused on innovation and technical excellence.
Senior AI Engineer: Voice, Chat & Predictive Analytics employer: Akixi's Ai
Contact Detail:
Akixi's Ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer: Voice, Chat & Predictive Analytics
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML 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 projects, especially those involving chatbots and predictive analytics. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and ML questions. We recommend practicing coding challenges in Python to demonstrate your expertise during technical interviews.
✨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 Senior AI Engineer: Voice, Chat & Predictive Analytics
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Python and AI frameworks right from the get-go. We want to see how your skills align with our needs, so don’t hold back on showcasing your experience with chatbots and predictive analytics!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific projects or experiences that relate to our AI and ML strategy. This shows us you’re genuinely interested and have done your homework!
Be Collaborative: Since collaboration is key in our dynamic team, share examples of how you've worked with others in past projects. We love to see how you can contribute to a team environment and drive innovation together!
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. Plus, it’s super easy!
How to prepare for a job interview at Akixi's Ai
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI frameworks and Python. Be ready to discuss specific projects you've worked on, especially those involving chatbots or predictive analytics. This will show that you not only understand the theory but also have practical experience.
✨Showcase Collaboration Skills
Since this role requires strong collaboration, think of examples where you've successfully worked in a team. Be prepared to discuss how you’ve contributed to group projects and how you handle differing opinions. This will demonstrate your ability to work well in a dynamic team.
✨Align with Business Outcomes
Understand how AI initiatives can drive business results. Be ready to talk about how your previous work has led to tangible outcomes for the company. This shows that you’re not just technically skilled but also understand the bigger picture.
✨Prepare Questions
Have a few thoughtful questions ready to ask at the end of the interview. This could be about their current AI strategy or how they measure success in their AI initiatives. It shows your genuine interest in the role and helps you assess if the company is the right fit for you.