At a Glance
- Tasks: Design and deliver innovative AI solutions to tackle real-world business challenges.
- Company: Globally renowned organisation focused on rapid experimentation and applied AI.
- Benefits: Up to £85,000 salary, hybrid work, and comprehensive benefits.
- Other info: Fast-paced environment with opportunities for professional growth and collaboration.
- Why this job: Join a dynamic team and make a tangible impact with cutting-edge AI technologies.
- Qualifications: Strong Python and JavaScript skills, plus hands-on AI development experience.
The predicted salary is between 68000 - 102000 € per year.
A globally renowned organisation is seeking an AI Engineer to join a forward-looking innovation function focused on rapid experimentation, applied artificial intelligence and real-world delivery. This role offers the opportunity to design, build and demonstrate AI solutions that address complex business challenges across multiple domains. The position is well suited to a hands-on engineer who enjoys fast-paced environments, collaborative problem-solving and working across the full life cycle from concept through to demonstrable outcomes.
Responsibilities for the AI Engineer:
- Design and deliver AI-powered proof-of-concept solutions, MVPs and prototype demonstrations within short innovation cycles
- Lead technical delivery during workshops, discovery sessions and innovation sprints
- Build and deploy machine learning and generative AI solutions using large and small language models plus vision and image-based models
- Develop lightweight APIs within serverless or PaaS environments to support rapid integration and demonstrations
- Work across varied business contexts, quickly understanding requirements and adapting AI approaches accordingly
- Evaluate emerging AI tools frameworks methodologies plus create reusable components to accelerate future delivery
- Engage directly with stakeholders to gather requirements, present findings and explain technical outcomes clearly
- Apply security, data protection and AI safety principles across all delivered solutions
Essential Skills for the AI Engineer:
- Strong experience with Python plus JavaScript
- Hands-on experience with AI-assisted development tools
- Experience building RESTful APIs using frameworks such as Flask or Django
- Strong SQL capability including PostgreSQL or MySQL plus experience with vector databases
- Experience working with microservices or serverless architectures
- Practical exposure to machine learning plus generative AI models including LLMs SLMs vision models
- Familiarity with AI frameworks such as RAG LangChain LlamaIndex plus agentic frameworks
- Hands-on cloud experience within Azure or AWS plus CI/CD tooling and Git
Desirable Skills for the AI Engineer:
- Experience using Pandas NumPy or PyTorch
- Exposure to NodeJS VueJS or equivalent Front End technologies
If you are an AI Engineer with strong hands-on capability and a passion for applying modern AI technologies to real business challenges, please apply in the immediate instance.
AI Engineer - up to £85,000 + Bonus + Benefits - Hybrid/London employer: Involved Solutions
Join a globally renowned organisation as an AI Engineer and immerse yourself in a dynamic work culture that champions innovation and collaboration. With a competitive salary of up to £85,000 plus benefits, this hybrid role allows you to thrive in London while enjoying the flexibility of remote work. The company prioritises employee growth through hands-on experience with cutting-edge AI technologies, fostering an environment where your contributions directly impact real-world solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - up to £85,000 + Bonus + Benefits - Hybrid/London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI field. Attend meetups, webinars, or even just chat with folks on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Python, machine learning, or any cool prototypes you've built. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as you'll need to engage with stakeholders and present your findings clearly.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your hands-on experience with AI technologies and how you can tackle real business challenges.
We think you need these skills to ace AI Engineer - up to £85,000 + Bonus + Benefits - Hybrid/London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the AI Engineer role. Highlight your hands-on experience with Python, JavaScript, and any relevant AI projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our innovative approach. Don’t forget to mention specific projects or technologies that excite you—this shows us you’re genuinely interested!
Showcase Your Projects:If you've got any personal or professional projects related to AI, make sure to include them in your application. We love seeing real-world applications of your skills, especially if they involve building machine learning models or APIs. It gives us a taste of what you can do!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, it shows us you’re keen to join the StudySmarter family!
How to prepare for a job interview at Involved Solutions
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI technologies, especially those mentioned in the job description like machine learning models and frameworks. Be ready to discuss your hands-on experience with Python, JavaScript, and any relevant tools you've used.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex business challenges using AI solutions. Think about projects where you designed and delivered proof-of-concept solutions or MVPs, and be ready to explain your thought process.
✨Engage with Stakeholders
Since the role involves direct interaction with stakeholders, practice how you'll gather requirements and present your findings. Use clear, jargon-free language to explain technical outcomes, as this will demonstrate your ability to communicate effectively.
✨Familiarise Yourself with the Company
Research the organisation's recent projects and innovations in AI. Understanding their focus areas will help you tailor your responses and show that you're genuinely interested in contributing to their goals.
