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- Tasks: Design and evaluate AI models, optimise pipelines, and collaborate on innovative projects.
- Company: Dynamic tech company in London with a focus on AI solutions.
- Benefits: Career growth, hybrid work flexibility, mentorship, and real-world impact.
- Why this job: Launch your AI career and influence cutting-edge technology that solves real problems.
- Qualifications: Degree in relevant field and proficiency in Python; passion for learning is key.
- Other info: Join a supportive team that values creativity and offers excellent development pathways.
The predicted salary is between 28800 - 48000 £ per year.
🤖 Junior AI Engineer (0–2 years) | Competitive Salary | London & Luton | Hybrid Working
🚀 Are you a Junior AI Engineer looking to kick-start your career working on real-world machine learning systems used at scale?
We’re looking for a curious and motivated Junior AI Engineer to join a collaborative, data-driven technology team, working in a flexible hybrid setup with offices in London and Luton . This role is ideal for someone early in their career who’s excited about applied AI, enjoys building things that go into production, and wants to learn from experienced engineers in a fast-moving environment.
You’ll be part of a modern engineering function working on large-scale data and AI products, contributing to model development, data pipelines, and deployment workflows that power mission-critical platforms.
🔍 In this role, you’ll:
🤖 Build, train, and evaluate machine learning models using Python
📊 Work with large, complex datasets to support AI-driven products and insights
🧠 Assist with feature engineering, model experimentation, and performance optimisation
☁️ Contribute to data and ML pipelines in cloud-based environments
🗄 Work with structured and semi-structured data using SQL
🚀 Support the deployment and monitoring of models in production environments
🤝 Collaborate closely with data engineers, software engineers, and product teams
📐 Help maintain best practices around testing, documentation, and reproducibility
🌟 What’s in it for you?
📈 Career Development – Hands-on experience, mentorship from senior AI and data engineers, and clear progression paths
💡 Learning Culture – A team that encourages curiosity, experimentation, and continuous improvement
🏢 Hybrid Working – A flexible mix of remote work and time in London and Luton offices
🌍 Real-World Impact – Work on AI systems used by global customers at scale
💰 Competitive Package – Salary and benefits based on experience, including bonus, pension, and generous annual leave
✅ What we’re looking for:
🎓 A degree in Computer Science, AI, Data Science, Mathematics, Engineering, or a related field
💼 0–2 years of experience in AI, machine learning, or software/data engineering (including internships, placements, or academic projects)
🐍 Strong Python skills for ML and data processing
🗄 Experience working with SQL and structured datasets
☁️ Familiarity with cloud platforms and modern data stacks
🧠 A solid understanding of machine learning fundamentals and data workflows
💬 Strong communication skills and a collaborative mindset
⭐ Big bonus points for:
❄️ Experience with Snowflake
🧱 Experience with Databricks
⚙️ Exposure to ML pipelines, MLOps, or production ML systems
If you’re excited about building AI systems, learning fast, and growing your career in a supportive, high-impact environment, we’d love to hear from you.
👉 Apply now and take the next step in your AI engineering career.
Artificial Intelligence Engineer employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Network Like a Pro
Get out there and connect with people in the AI field! Attend meetups, webinars, or even local tech events. You never know who might have a lead on your dream job or can offer valuable advice.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving machine learning or AI. Share your GitHub link when you apply through our website, so potential employers can see your work in action!
✨Ace the Interview
Prepare for technical interviews by practising coding challenges and understanding key AI concepts. Don’t forget to brush up on your communication skills; being able to explain your thought process is crucial!
✨Follow Up
After an interview, send a quick thank-you email to express your appreciation. It shows professionalism and keeps you fresh in their minds as they make their decision.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight any relevant projects or coursework in AI, machine learning, or data science to show us you’re a great fit!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background aligns with our mission. Share specific examples of your work or studies that demonstrate your curiosity and problem-solving skills.
Showcase Your Projects: If you've worked on any AI-related projects, whether academic or personal, make sure to mention them! We love seeing practical applications of your skills, so include links or descriptions of your work.
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 we can’t wait to see your application come through!
How to prepare for a job interview at Intellect Group
✨Know Your AI Stuff
Brush up on your knowledge of machine learning algorithms and the libraries mentioned in the job description, like TensorFlow and PyTorch. Be ready to discuss any projects you've worked on, whether academic or personal, that showcase your skills in AI.
✨Show Your Problem-Solving Skills
Prepare to tackle some real-world problems during the interview. Think of examples where you've used your analytical mindset to solve challenges, especially in AI or data science contexts. This will demonstrate your ability to think critically and apply your knowledge.
✨Communicate Clearly
Since excellent communication skills are a must, practice explaining complex AI concepts in simple terms. You might be asked to collaborate with non-technical team members, so showing you can bridge that gap is key.
✨Be Curious and Engaged
Express your passion for learning and staying updated on emerging AI trends. Prepare some thoughtful questions about the company's projects or future directions in AI. This shows you're not just interested in the role but also in contributing to the team's success.