At a Glance
- Tasks: Build and test AI/ML experiments while collaborating with top researchers.
- Company: Join Aeris-UK, a cutting-edge tech company focused on applied AI.
- Benefits: Earn £2,250/month, enjoy weekly lunches, and work in a hybrid environment.
- Other info: Flexible start date and excellent career growth opportunities await you.
- Why this job: Dive into real-world AI challenges and make an impact this summer!
- Qualifications: Strong Python skills and practical ML experience required.
The predicted salary is between 2250 - 2250 € per month.
Aeris-UK is a technology company working on applied AI, modelling and simulation systems.
The Role
We are looking for a Summer Applied AI/ML Research Intern to support applied R&D across machine learning, modelling and simulation-related systems. You will work with our ML researchers. This role is suited to strong undergraduate or MSc students with practical ML experience who can contribute from day one while receiving supervision and support.
What You’ll Work On
- Building and testing AI/ML experiments in Python
- Applying ML methods to practical R&D problems
- Supporting research prototypes and technical investigations
- Analysing results and communicating findings clearly to the team
- Working with modelling, simulation, or system-level environments where relevant
- Improving model, system or simulation performance, scalability or fidelity
Requirements
- Strong foundation in AI/ML techniques such as deep learning, reinforcement learning or classical ML
- Ability to apply ML methods in practical projects, not only coursework
- Strong Python skills
- Experience with PyTorch and/or TensorFlow
- Solid understanding of data structures, algorithms and computational efficiency
- Strong interest or experience in simulation environments, modelling or system-level thinking
- Strong problem-solving ability and evidence of building real-world projects such as GitHub repositories, research, competitions, demos or substantial coursework
- Comfortable working in a fast-paced R&D environment with some supervision
Strong Plus
- Numerical methods
- Optimisation techniques
- Probabilistic modelling
- Experience working with or optimising complex simulation systems
- Performance, scalability or fidelity improvements
Bonus Experience
- Multi-agent systems
- Reinforcement learning
- Large-scale simulation frameworks
Internship Details
- Duration: 2–3 months
- Start date: negotiable, preference for early summer 2026
- Location: London / hybrid
- Office location: Blackfriars, London
- Working pattern: 40 hours/week
- Team meets in person once per week in London (travel to office paid by company)
- Applicants must have the right to work in the UK
- Compensation: £2,250/month pro rata
- Weekly company-paid lunch and coffee when in the office
How to Apply
Please submit: CV, LinkedIn profile, GitHub / portfolio / project link, Right-to-work status, One sentence describing your strongest relevant project and what you personally built.
Applied AI / ML Intern – Summer 2026 in Slough employer: Aeris-UK
Aeris-UK is an exceptional employer that fosters a dynamic and innovative work culture, perfect for aspiring AI/ML professionals. Located in the vibrant heart of London, our hybrid working model allows interns to engage in meaningful projects while enjoying the flexibility of remote work. With competitive compensation, weekly company-paid lunches, and a strong emphasis on mentorship and professional growth, we provide an enriching environment where you can thrive and make impactful contributions from day one.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI / ML Intern – Summer 2026 in Slough
✨Tip Number 1
Network like a pro! Reach out to current or former interns at Aeris-UK on LinkedIn. Ask them about their experiences and any tips they might have for landing the role. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! If you've got projects on GitHub that showcase your AI/ML prowess, make sure to highlight them during interviews. We love seeing real-world applications of your knowledge!
✨Tip Number 3
Prepare for technical questions! Brush up on your Python skills and be ready to discuss your experience with PyTorch or TensorFlow. We want to see how you think through problems and apply your knowledge.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you're genuinely interested in joining the team at Aeris-UK. Don’t miss out!
We think you need these skills to ace Applied AI / ML Intern – Summer 2026 in Slough
Some tips for your application 🫡
Craft a Stellar CV:Your CV is your first impression, so make it count! Highlight your relevant skills in AI/ML, Python, and any projects you've worked on. Keep it concise and tailored to the role at Aeris-UK.
Show Off Your Projects:Don’t just list your experiences; showcase them! Include links to your GitHub or portfolio where we can see your work in action. We love seeing real-world applications of your skills!
Nail That One-Liner:You need to describe your strongest project in just one sentence. Make it punchy and clear, focusing on what you built and how it relates to the role. This is your chance to shine!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets into our hands quickly and efficiently!
How to prepare for a job interview at Aeris-UK
✨Know Your Stuff
Make sure you brush up on your AI/ML techniques, especially deep learning and reinforcement learning. Be ready to discuss how you've applied these methods in real projects, not just theory from your coursework.
✨Show Off Your Python Skills
Since Python is key for this role, be prepared to demonstrate your coding abilities. Bring examples of your work with PyTorch or TensorFlow, and maybe even a small project you can talk through during the interview.
✨Communicate Clearly
You’ll need to analyse results and share findings with the team, so practice explaining complex concepts in simple terms. Think about how you would present your strongest project and what you personally contributed to it.
✨Be Ready for Problem-Solving
Expect some practical problem-solving questions related to ML and simulation environments. Brush up on your algorithms and data structures, and think through how you would approach optimising a system or model performance.
