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For Companies At a Glance
- Tasks: Develop AI models and improve performance while experimenting rapidly.
- Company: Join a fast-growing startup revolutionizing industrial automation.
- Benefits: Competitive salary, equity options, and hybrid work model.
- Why this job: Be part of a dynamic team making a real impact in tech.
- Qualifications: Strong software engineering skills; AI/ML experience is a plus.
- Other info: Must have full UK work rights; creative problem solvers welcome!
The predicted salary is between 56000 - 84000 £ per year.
🚨 AI Engineer – London 🚨
We are partnered with a Fast-growing startup building an automation platform to streamline industrial processes across commercial & financial operations.
🔥 The Opportunity:
Own AI model development & rapid experimentation
Improve LLM performance & build forecast simulation models
Work closely with a small, fast-moving engineering team
💰 £70-£90k + equity | 💻 Python, TypeScript/JavaScript, AI/ML
📍 Hybrid – London (3 days onsite)
✅ Who You Are:
Strong software engineering background (AI/ML a plus)
Comfortable with ambiguity & rapid iteration
Creative problem-solver with hands-on experience in Python
Experience in forecasting/simulation models (nice to have)
Must have full UK work rights.
🚀 Interested? Let’s chat 👋
Artificial Intelligence Engineer employer: Wave Talent
Contact Detail:
Wave Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Familiarize yourself with the latest trends in AI and machine learning, especially in the context of industrial automation. This will not only help you understand the company's focus but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your hands-on experience with Python by working on personal projects or contributing to open-source initiatives. This practical experience can set you apart and demonstrate your coding skills effectively.
✨Tip Number 3
Prepare to discuss your approach to problem-solving and how you've handled ambiguity in past projects. The ability to adapt and iterate quickly is crucial for this role, so be ready with examples that highlight these skills.
✨Tip Number 4
Network with professionals in the AI and tech community, especially those who work in startups. Engaging with others in the field can provide insights into the company culture and potentially lead to referrals.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the AI Engineer position. Understand the key responsibilities, required skills, and the technologies involved, such as Python and TypeScript/JavaScript.
Highlight Relevant Experience: In your CV and cover letter, emphasize your software engineering background and any experience you have with AI/ML. Be specific about projects you've worked on that relate to model development or forecasting/simulation.
Showcase Problem-Solving Skills: Provide examples in your application that demonstrate your creative problem-solving abilities. Mention any situations where you had to work through ambiguity or iterate quickly on a project.
Tailor Your Application: Customize your CV and cover letter to reflect the language and requirements mentioned in the job description. Use keywords from the listing to ensure your application stands out to recruiters.
How to prepare for a job interview at Wave Talent
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and any AI/ML projects you've worked on. Highlight specific examples where you developed models or improved performance, as this will demonstrate your technical expertise.
✨Emphasize Problem-Solving Abilities
Since the role requires creative problem-solving, think of instances where you've tackled complex challenges. Be ready to explain your thought process and how you arrived at your solutions.
✨Familiarize Yourself with the Company’s Focus
Research the startup's automation platform and understand its applications in industrial processes. This knowledge will help you align your answers with their goals and show your genuine interest in the position.
✨Prepare for Rapid Iteration Discussions
Given the fast-paced environment, be ready to discuss how you handle ambiguity and rapid iteration. Share experiences where you adapted quickly to changes and how you prioritize tasks in such situations.
