Lead AI Engineer — Remote (UK) with Monthly In-Person Day
Lead AI Engineer — Remote (UK) with Monthly In-Person Day

Lead AI Engineer — Remote (UK) with Monthly In-Person Day

Full-Time 48000 - 72000 £ / year (est.) No home office possible
Akixi

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.
  • Why this job: Transform business communication analytics while working with cutting-edge AI technology.
  • Qualifications: Strong software engineering background and expertise in AI/ML development.
  • Other info: Enjoy a collaborative environment with a monthly in-person team day.

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 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 can thrive both personally and professionally. With ample opportunities for growth and development in the rapidly evolving field of AI and ML, we are committed to empowering our team members to make a meaningful impact in transforming business communication analytics.
Akixi

Contact Detail:

Akixi Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead AI Engineer — Remote (UK) with Monthly In-Person Day

Tip Number 1

Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the company culture and maybe even a referral!

Tip Number 2

Show off your skills! Prepare a portfolio or a project that highlights your AI/ML expertise. We want to see how you think and solve problems, so make it shine during interviews.

Tip Number 3

Practice makes perfect! Get together with friends or colleagues for mock interviews. This will help us refine our answers and boost our confidence before the real deal.

Tip Number 4

Don’t forget to follow up! After an interview, drop a thank-you email to express our appreciation. It keeps us on their radar and shows we’re genuinely interested in the role.

We think you need these skills to ace Lead AI Engineer — Remote (UK) with Monthly In-Person Day

AI Development
Machine Learning (ML)
Software Engineering
Cross-Functional Collaboration
Product Integration
Innovation
Business Communication Analytics
Hybrid Work Flexibility

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 strategy forward!

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 AI capabilities and product integration.

Be Clear and Concise: Keep your application straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the point about your qualifications.

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!

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 you've implemented AI capabilities. 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 with others in past projects. Highlight your communication skills and how you can bridge the gap between technical and non-technical team members.

Prepare for Technical Questions

Expect some technical questions that will test your software engineering skills. Brush up on coding principles, algorithms, and data structures. Practising coding challenges can help you feel more confident during the interview.

Ask Insightful Questions

At the end of the interview, don’t forget to ask questions! Inquire about the company's AI strategy, the tools they use, or how success is measured in this role. This shows your genuine interest and helps you assess if the company is the right fit for you.

Lead AI Engineer — Remote (UK) with Monthly In-Person Day
Akixi

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