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- Tasks: Build and evaluate machine learning models using Python and work with large datasets.
- Company: Join a dynamic tech team focused on real-world AI solutions.
- Benefits: Competitive salary, bonus, pension, generous leave, and hybrid working.
- Why this job: Make a real impact on AI systems used globally while developing your skills.
- Qualifications: Degree in relevant field and 0-2 years of experience in AI or software engineering.
- Other info: Enjoy mentorship from experienced engineers and clear career progression paths.
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
Requirements:
- 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 C# 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 C# Engineer in City of London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even online forums. The more you engage with others, the better your chances of landing that dream job.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those related to AI and machine learning. This is your chance to demonstrate what you can do, so make it shine!
✨Ace the Interview
Prepare for common interview questions and practice coding challenges. Don’t forget to highlight your passion for AI and your eagerness to learn from experienced engineers during the chat.
✨Apply Through Our Website
We encourage you to apply directly through our website. It’s the best way to ensure your application gets noticed and shows your enthusiasm for joining our team!
We think you need these skills to ace Remote C# 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 coursework, especially those involving Python, SQL, and 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 your background makes you a great fit for our team. Keep it concise but engaging!
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 from an internship, we want to see what you've built and how you approached it.
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 basics of machine learning. Be ready to discuss any projects you've worked on, especially those involving AI or data processing. This shows you're not just a theory person but someone who can apply their knowledge.
✨Show Your Curiosity
As a Junior AI Engineer, they want to see your enthusiasm for learning. Prepare some questions about the company's AI projects or the technologies they use. This demonstrates your interest in the role and your eagerness to grow within the team.
✨Talk About Teamwork
Collaboration is key in this role, so be prepared to share examples of how you've worked with others in past projects. Highlight any experience you have working with data engineers or software teams, as this will show you can thrive in a collaborative environment.
✨Be Ready for Practical Tests
You might face some technical challenges during the interview, so practice coding problems related to Python and SQL beforehand. Familiarise yourself with common machine learning tasks and be ready to demonstrate your problem-solving skills on the spot.