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- Tasks: Build and evaluate machine learning models using Python and work with large datasets.
- Company: Join a dynamic tech team in London and Luton with a focus on AI innovation.
- Benefits: Enjoy competitive salary, bonuses, generous leave, and hybrid working options.
- Why this job: Make a real-world impact by developing AI systems used globally.
- Qualifications: Degree in relevant field and 0-2 years of experience in AI or data engineering.
- Other info: Gain hands-on experience and mentorship in a fast-paced, supportive environment.
The predicted salary is between 28800 - 48000 £ 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.
- 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
Career Development – Hands-on experience, mentorship from senior AI and data engineers, and clear progression paths
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
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
Big bonus points for:
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.
Remote engineer in City of London employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow engineers on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and data processing. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and practising common interview questions. Don’t forget to highlight your passion for AI and your eagerness to learn – it’s all about showing your enthusiasm!
✨Tip Number 4
Apply through our website! We love seeing applications come directly from motivated candidates. Plus, it gives you a chance to showcase your interest in our company culture and values right from the start.
We think you need these skills to ace Remote engineer in City of London
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 internships, especially those involving Python, SQL, or machine learning.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this position. Share your passion for AI and how you see yourself contributing to our team. Keep it concise but engaging!
Showcase Your Projects: If you've worked on any AI or data-related projects, make sure to mention them! Whether it's academic work or personal projects, we want to see what you've built and how you approached problem-solving.
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’s super easy!
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 practically.
✨Show Your Curiosity
As a Junior AI Engineer, they want to see your enthusiasm for learning. Prepare some questions about the company's AI systems, the tech stack they use, or how they approach model deployment. This demonstrates your eagerness to grow and engage with the team.
✨Highlight Collaboration Skills
Since this role involves working closely with data engineers and product teams, be ready to share examples of how you've collaborated in the past. Whether it's through group projects or internships, showing that you can work well with others is key.
✨Be Ready for Practical Tests
You might face some technical challenges during the interview, so practice coding problems related to machine learning and SQL. Familiarise yourself with common algorithms and data manipulation techniques, as they may ask you to solve real-world problems on the spot.