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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, and hands-on mentorship.
- Why this job: Make a real impact in AI while developing your skills in a supportive environment.
- Qualifications: Degree in relevant field and proficiency in Python; passion for learning is key.
- Other info: Join a collaborative team and explore exciting AI trends.
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
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI field on LinkedIn or at local meetups. Engaging with others can lead to valuable insights and even job opportunities that aren’t advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning or AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI concepts and coding challenges. Practising with friends or using online platforms can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals ready to make an impact in AI. Your dream job could be just a click away!
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 enthusiasm and 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 a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
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 about how you would approach designing and evaluating a machine learning model for a specific application. This will demonstrate your analytical mindset and ability to apply your knowledge practically.
✨Communicate Clearly
Since excellent communication skills are a must, practice explaining complex concepts in simple terms. You might be asked to collaborate with data engineers and software developers, so showing that you can convey your ideas clearly will set you apart.
✨Be Curious and Open-Minded
Express your passion for learning and staying updated on emerging AI trends. Share any fresh ideas you have about improving models or workflows. This shows that you're not just looking for a job, but are genuinely interested in contributing to the team and growing within the role.
