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.
- Other info: Full-time position in a dynamic tech environment with opportunities for growth.
- 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.
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 in Weybridge employer: Cornucopia IT Resourcing
Cornucopia IT Resourcing is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to lead innovative IT projects in a vibrant London setting. With a strong emphasis on professional development, team collaboration, and competitive compensation packages, including bonuses and benefits, this role provides a unique opportunity for growth and meaningful contributions in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer in Weybridge
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Cornucopia IT Resourcing or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
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We think you need these skills to ace Artificial Intelligence Engineer in Weybridge
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Cornucopia IT Resourcing.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Cornucopia IT Resourcing and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Cornucopia IT Resourcing
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Cornucopia IT Resourcing uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.