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- Tasks: Lead the deployment of AI solutions and solve technical challenges for major enterprises.
- Company: Innovative technology company in the UK with a focus on AI.
- Benefits: Salary up to £85,000, commission, equity, and significant career growth.
- Why this job: Directly influence customer outcomes while working with cutting-edge AI technology.
- Qualifications: Strong Python and SQL skills, experience in AI systems, and cloud services familiarity.
- Other info: Exciting opportunity to work closely with customers in a dynamic environment.
The predicted salary is between 51000 - 85000 £ per year.
A technology company in the United Kingdom is seeking a Forward Deployed Engineer to lead the deployment of AI solutions for major enterprises. This role involves working closely with customers to solve technical challenges while building and integrating solutions.
Ideal candidates will have:
- Strong Python and SQL skills
- Experience in AI-driven systems
- Familiarity with cloud services
With a salary of up to £85,000 plus commission and equity, this role offers significant career growth and the opportunity to influence customer outcomes directly.
Hands-On AI Deployment Engineer - Customer-Facing in London employer: Formula Recruitment
Contact Detail:
Formula Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hands-On AI Deployment Engineer - Customer-Facing in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that dream role.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository that highlights your Python and SQL projects. This gives employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Research common questions for AI deployment roles and practice your responses. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're genuinely interested in joining our team and makes your application stand out.
We think you need these skills to ace Hands-On AI Deployment Engineer - Customer-Facing in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and SQL skills in your application. We want to see how your experience aligns with the technical challenges we face, so don’t hold back on showcasing your expertise!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific AI-driven systems you've worked with and how they relate to our needs. This shows us you’re genuinely interested and have done your homework!
Be Customer-Focused: Since this role is customer-facing, share examples of how you've solved technical challenges for clients in the past. We love to see candidates who can connect with customers and deliver solutions that make a difference.
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 from our team!
How to prepare for a job interview at Formula Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in AI-driven systems. This will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Understand the Customer's Needs
Since this role is customer-facing, it's crucial to demonstrate your ability to empathise with clients. Research the company’s major enterprises and think about how AI solutions could solve their specific challenges. Prepare examples of how you've successfully engaged with customers in the past.
✨Familiarise Yourself with Cloud Services
Get a good grasp of the cloud services relevant to the role. Whether it's AWS, Azure, or Google Cloud, be prepared to discuss how you've used these platforms in previous deployments. Highlight any experience you have with integrating AI solutions into cloud environments.
✨Showcase Your Problem-Solving Skills
Be ready to tackle hypothetical scenarios during the interview. Think about common technical challenges faced by enterprises when deploying AI solutions and how you would approach solving them. This will demonstrate your critical thinking and adaptability, which are key for this position.
