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- Tasks: Build and evaluate machine learning models using Python and work with large datasets.
- Company: Join a collaborative tech team in London and Luton, focused on AI innovation.
- Benefits: Enjoy hybrid working, competitive salary, mentorship, and career development opportunities.
- Why this job: Make a real-world impact with AI systems used by global customers.
- Qualifications: Degree in relevant field and 0-2 years of experience in AI or data engineering.
- Other info: Flexible environment that encourages curiosity and continuous learning.
The predicted salary is between 30000 - 42000 £ per year.
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 in England employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in England
✨Network Like a Pro
Get out there and connect with people in the AI field! Attend meetups, webinars, or tech events. You never know who might have a lead on that perfect Junior AI Engineer role.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Python and machine learning. Share it on platforms like GitHub to let potential employers see what you can do!
✨Ace the Interview
Prepare for technical interviews by brushing up on your machine learning fundamentals and coding skills. Practice common interview questions and be ready to discuss your past projects in detail.
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying directly through us gives you a better chance to stand out and land that dream job in AI engineering!
We think you need these skills to ace Artificial Intelligence Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Junior AI Engineer role. Highlight any relevant projects or coursework, especially those involving Python, machine learning, and SQL.
Craft a Compelling Cover Letter: Use your cover letter to showcase your passion for AI and how you can contribute to our team. Share specific examples of your work or studies that demonstrate your curiosity and motivation in the field.
Showcase Your Projects: If you've worked on any AI or data-related projects, be sure to mention them! Whether it's an academic project or something personal, we want to see your hands-on experience and what you've built.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you're keen to join our team!
How to prepare for a job interview at Intellect Group
✨Know Your Stuff
Make sure you brush up on your Python skills and understand the fundamentals of machine learning. Be ready to discuss any projects or experiences you've had, especially those involving AI or data engineering. This will show that you're not just a theoretical learner but someone who can apply their knowledge in real-world scenarios.
✨Show Your Curiosity
Since this role is all about learning and growing, demonstrate your curiosity during the interview. Ask insightful questions about the team’s current projects, the technologies they use, and how they approach problem-solving. This will highlight your eagerness to learn and contribute.
✨Collaborate Like a Pro
Emphasise your collaborative mindset. Share examples of how you've worked with others in past projects, whether in academic settings or internships. Highlighting your ability to work closely with data engineers and software teams will resonate well with the interviewers.
✨Be Ready for Technical Questions
Prepare for technical questions related to SQL, data pipelines, and cloud platforms. You might be asked to solve a problem on the spot or explain your thought process. Practising common interview questions and coding challenges can help you feel more confident and ready to tackle these scenarios.