Machine Learning Engineer Intern

Machine Learning Engineer Intern

Full-Time 500 - 1500 € / month (est.) No home office possible
UnlikelyAI

At a Glance

  • Tasks: Conduct original AI research and develop novel algorithms with a focus on explainability.
  • Company: Join UnlikelyAI, a pioneering tech company at the forefront of AI innovation.
  • Benefits: Gain hands-on experience, collaborate with experts, and enjoy a hybrid work environment.
  • Other info: Flexible internship dates with opportunities for career growth in a diverse environment.
  • Why this job: Make a real impact in AI while working with cutting-edge technology and a world-class team.
  • Qualifications: Strong background in machine learning, Python proficiency, and excellent communication skills.

The predicted salary is between 500 - 1500 € per month.

We’re building a world where AI can be fully trusted; one that is reliable, accurate and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with proprietary symbolic technology. We’re working with companies like Lloyd’s Bank, major accountancy firms and insurers to solve problems that LLMs can’t: AI that is reliable and explainable. At UnlikelyAI, we’re building on the frontier of research. Invention and speed are core to everything we do. The technology we develop has never existed before – and we’re looking for people excited by the difficulty of our mission.

Our Research Science internship provides an exceptional opportunity to work at the forefront of AI and machine learning research. Interns collaborate with world‑class researchers to tackle challenging problems and contribute to cutting‑edge research that shapes the future of artificial intelligence, with an emphasis on explainability and trust.

The programme will run from 08/06/2026 to 28/08/2026, with possibility for some flexibility. Applicants must have the right to work in the UK at the time of application. Unfortunately, we are unable to provide visa sponsorship for this role.

The type of work you’ll do:

  • Conduct original research in AI/NLP, with an emphasis on explainability and trust
  • Develop and implement novel algorithms and models
  • Analyse experimental results and contribute to research publications
  • Collaborate with research scientists and engineers across the organisation
  • Present your findings to the research team and broader company

What we’re looking for:

  • Strong background in machine learning, LLMs, NLP, or related fields
  • Experience with research methodologies and experimental design
  • Proficiency in Python
  • Excellent communication and collaboration skills
  • Enthusiasm for learning new technologies and approaches

Why Join Us?

  • Team: We have a world-class team of intelligent, focused, collaborative people. We're ambitious, move fast and have a lot of fun while doing it.
  • Vision: We have a huge vision for the future. This offers a unique opportunity to work on the foundational layers of AI but, unlike many other companies, we're not just scaling LLMs, we're focused on a novel neurosymbolic approach.
  • Tech: You’ll work with our novel and cutting‑edge tech. Driving this forward involves solving some exciting challenges, so our team has the freedom to be creative and explore innovative ideas in an environment where our technology is evolving and maturing.
  • Location: We are a hybrid working company, with three days in‑office as our general expectation. Our Bloomsbury office is equidistant between Tottenham Court Road and Holborn stations.

Equal Opportunities: We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We, therefore, do not discriminate in employment based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. Having a broad mix of people helps us to be the best we can.

Machine Learning Engineer Intern employer: UnlikelyAI

At UnlikelyAI, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our hybrid working model allows for flexibility while our Bloomsbury office provides a vibrant environment for creativity and teamwork. With a focus on cutting-edge research in AI and machine learning, we offer interns the chance to work alongside world-class researchers, contributing to meaningful projects that shape the future of technology, all while promoting diversity and inclusion within our team.

UnlikelyAI

Contact Detail:

UnlikelyAI Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Machine Learning Engineer Intern

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with current or former interns at UnlikelyAI. Building relationships can open doors that applications alone can't.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects related to machine learning and AI. This is your chance to demonstrate your expertise and passion for the field beyond just your CV.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as communication is key in collaborative environments like ours.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at UnlikelyAI.

We think you need these skills to ace Machine Learning Engineer Intern

Machine Learning
Natural Language Processing (NLP)
Large Language Models (LLMs)
Research Methodologies
Experimental Design
Python
Communication Skills

Some tips for your application 🫡

Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and machine learning shine through. We want to see that you're genuinely excited about the challenges we face and the innovative work we're doing at UnlikelyAI.

Tailor Your Application:Make sure to customise your application to highlight your relevant skills and experiences. Mention specific projects or research you've done in machine learning, LLMs, or NLP that align with our mission of explainability and trust.

Be Clear and Concise:Keep your writing clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it's necessary, and make sure your passion and qualifications come across without any fluff.

Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!

How to prepare for a job interview at UnlikelyAI

Know Your Stuff

Make sure you brush up on your machine learning concepts, especially around LLMs and NLP. Familiarise yourself with the latest research in explainability and trust, as this is a key focus for the role. Being able to discuss recent advancements will show your enthusiasm and knowledge.

Show Off Your Projects

Prepare to talk about any relevant projects or research you've done. If you've implemented algorithms or models, be ready to explain your thought process and the results. This will demonstrate your hands-on experience and problem-solving skills, which are crucial for the internship.

Practice Collaboration

Since the role involves working closely with researchers and engineers, think of examples where you've successfully collaborated in a team. Highlight your communication skills and how you’ve contributed to group projects. This will help convey that you're a team player who can thrive in their dynamic environment.

Ask Insightful Questions

Prepare some thoughtful questions about the company's neurosymbolic technology and their approach to AI. This shows your genuine interest in their work and helps you understand if the company aligns with your career goals. Plus, it’s a great way to engage with your interviewers!