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For Companies At a Glance
- Tasks: Join our innovation team to build and refine cutting-edge AI/ML models and applications.
- Company: Work with a globally recognised electronics brand known for its innovative technology.
- Benefits: Enjoy hybrid work options and competitive pay based on your skills and experience.
- Why this job: Be at the forefront of AI technology, collaborating with diverse teams to create impactful solutions.
- Qualifications: 1-2 years in AI/ML roles, strong Python skills, and knowledge of ML techniques required.
- Other info: Full-time position in a dynamic tech environment with opportunities for growth.
The predicted salary is between 36000 - 60000 £ per year.
Base pay range
This range is provided by Cornucopia IT Resourcing. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Location
Weybridge, Surrey (Hybrid)
Overview
Our client is a globally recognised electronics brand who are looking for a talented AI Engineer to join their innovation team. This is an exciting opportunity to work on cutting-edge AI/ML solutions that deliver real business value, from designing and training models to deploying scalable applications in production.
What you’ll do
- Build and refine AI/ML models, including LLM-based solutions (RAG, fine-tuning, prompt engineering).
- Design and implement AI-powered applications, leveraging Python, SQL/NoSQL, and APIs.
- Prototype, test, and optimise models for performance, scalability, and efficiency.
- Explore the latest open-source AI tools (e.g. Hugging Face, LangChain) and integrate them into solutions.
- Collaborate with cross-functional teams to identify and deliver high-impact AI use cases.
- Communicate complex technical concepts in a clear, business-focused way.
Qualifications
- 1–2 years of professional experience in AI/ML/Data Science roles (3–5 years total experience).
- Strong skills in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow).
- Experience with SQL/NoSQL databases, APIs, and data integration.
- Knowledge of ML techniques, NLP, and Generative AI.
- Problem-solving mindset with excellent communication skills.
- Bonus: familiarity with cloud AI platforms (AWS, Azure, GCP) and solution architecture.
Additional information
- Seniority level: Not Applicable
- Employment type: Full-time
- Job function: Information Technology
- Industries: Technology, Information and Media
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Artificial Intelligence Engineer employer: Cornucopia IT Resourcing
Contact Detail:
Cornucopia IT Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Familiarise yourself with the latest AI/ML tools and frameworks mentioned in the job description, such as Hugging Face and LangChain. Being able to discuss these tools during your interview will show your enthusiasm and readiness to contribute to our innovation team.
✨Tip Number 2
Prepare to demonstrate your problem-solving skills by discussing past projects where you built or refined AI/ML models. Be ready to explain your thought process and the impact of your work, as this will highlight your practical experience and ability to deliver real business value.
✨Tip Number 3
Brush up on your communication skills, especially when it comes to explaining complex technical concepts in a business-friendly manner. Practising how to convey your ideas clearly will be crucial, as collaboration with cross-functional teams is a key part of the role.
✨Tip Number 4
If you have experience with cloud AI platforms like AWS, Azure, or GCP, make sure to highlight this during your discussions. Even if it's not a requirement, showcasing your familiarity with these platforms can set you apart from other candidates and demonstrate your versatility.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML and showcases your skills in Python, SQL/NoSQL, and any other technologies mentioned in the job description. Use specific examples to demonstrate your expertise.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the role. Discuss your experience with AI/ML models, your problem-solving mindset, and how you can contribute to the innovation team. Be sure to express your enthusiasm for the company and the position.
Showcase Relevant Projects: If you have worked on projects involving AI/ML, especially those using tools like Hugging Face or LangChain, include them in your application. Describe your role, the challenges faced, and the outcomes achieved to illustrate your hands-on experience.
Prepare for Technical Questions: Anticipate technical questions related to AI/ML concepts, Python programming, and database management. Brush up on your knowledge of ML techniques and be ready to discuss how you've applied them in previous roles.
How to prepare for a job interview at Cornucopia IT Resourcing
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL/NoSQL, and AI/ML frameworks like TensorFlow or PyTorch. Bring examples of projects you've worked on that demonstrate your ability to build and refine models, as well as any innovative solutions you've implemented.
✨Understand the Company’s AI Vision
Research the company’s current AI initiatives and be ready to discuss how your skills can contribute to their goals. This shows your genuine interest in the role and helps you align your answers with their expectations.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice explaining your thought process when solving problems, especially those related to AI/ML. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Communicate Clearly and Effectively
Since the role requires communicating complex concepts, practice simplifying technical jargon into business-friendly language. This will demonstrate your ability to collaborate with cross-functional teams and convey ideas effectively.
