Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and deploy cutting-edge AI systems while collaborating directly with clients.
- Company: Innovative AI platform company at the forefront of technology.
- Benefits: Competitive pay, flexible work options, and impactful career opportunities.
- Why this job: Join a growing AI landscape and make a real difference with your skills.
- Qualifications: Experience with LLMs, MLOps, and strong communication skills required.
- Other info: Dynamic role with opportunities for professional growth and client interaction.
The predicted salary is between 36000 - 60000 £ per year.
An innovative AI platform company is seeking an experienced AI Engineer to build production-grade multimodal AI systems. This role involves working directly with clients to identify high-impact AI opportunities, designing intelligent agent solutions, and leading the deployment of voice-driven applications.
Strong hands-on experience with LLMs, MLOps processes, and excellent communication skills are essential.
The company offers competitive compensation, flexible work options, and impactful opportunities within a growing AI landscape.
Client-Facing ML Engineer: Onsite Deployments & Impact in London employer: AION
Contact Detail:
AION Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Client-Facing ML Engineer: Onsite Deployments & Impact in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and MLOps. This is your chance to demonstrate your hands-on experience and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions related to client-facing roles. Think about how you can communicate complex AI concepts clearly and effectively. Remember, it's all about showing your expertise while connecting with the interviewer.
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting opportunities that match your skills. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Client-Facing ML Engineer: Onsite Deployments & Impact in London
Some tips for your application 🫡
Showcase Your Experience: When applying, make sure to highlight your hands-on experience with LLMs and MLOps processes. We want to see how your skills align with the role, so don’t hold back on sharing specific projects or achievements!
Tailor Your Application: Take a moment to customise your application for this role. Mention how your background in building production-grade multimodal AI systems can directly benefit our clients. We love seeing applicants who take the time to connect their experience with what we do!
Communicate Clearly: Since excellent communication skills are essential, ensure your application is clear and concise. We appreciate straightforward language that gets to the point, so avoid jargon unless it’s necessary to showcase your expertise.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at AION
✨Know Your AI Stuff
Make sure you brush up on your knowledge of multimodal AI systems and LLMs. Be ready to discuss your hands-on experience with these technologies, as well as any MLOps processes you've implemented. The more specific examples you can provide, the better!
✨Client Interaction is Key
Since this role involves working directly with clients, practice how you would identify high-impact AI opportunities. Think about past experiences where you successfully communicated complex ideas to non-technical stakeholders. Show them you can bridge the gap between tech and client needs.
✨Showcase Your Deployment Skills
Prepare to talk about your experience leading the deployment of voice-driven applications. Have a couple of projects in mind that highlight your problem-solving skills and ability to deliver results. This will demonstrate your capability to handle real-world challenges.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's AI initiatives and their vision for the future. This shows your genuine interest in the role and helps you assess if it's the right fit for you.