Software Engineering Internship – Summer 2025
London
Unlikely AI
Controllable, auditable and hallucination-free AI solutions.
Location: London, UK (Hybrid)Duration: 3 MonthsStart Date: Late June 2025Application Deadline: June 6, 2025Salary: £30,000 per annum, pro-rated
About UnlikelyAI
UnlikelyAI is a London-based deep tech startup pioneering a new approach to artificial intelligence - delivering the full potential of modern AI while ensuring reliability, accuracy, and transparency. Founded by William Tunstall-Pedoe, known for his pioneering work in voice technology and role in Amazon’s Alexa following the acquisition of his startup Evi, UnlikelyAI is at the forefront of developing trustworthy artificial intelligence solutions.Our mission is to create AI systems that are controllable, auditable, and hallucination-free, making them suitable for critical applications in regulated industries. We achieve this through our groundbreaking technology that eliminates common AI pitfalls such as incorrect results, hallucinations, bias, and black-box decision making.
Our internship programme
We are offering a 3-month internship programme designed for individuals passionate about software engineering and eager to experience the dynamic environment of a startup at the cutting edge of AI R&D. Interns will have the opportunity to work alongside our expert team, contributing to projects that aim to redefine the capabilities of AI systems.
Join UnlikelyAI and be part of a team that’s shaping the future of artificial intelligence.
What you'll gain
Our internship programme will give you direct exposure to the AI industry, at a fast-paced startup. You will gain:
* Hands-On Experience: Engage directly with our neurosymbolic AI platform, contributing to real-world projects that combine machine learning with symbolic reasoning;* Mentorship: Receive guidance from industry leaders, including team members with experience at Amazon, Apple, and Microsoft;* Skill Development: Enhance your skills in AI development, research methodologies, and startup operations;* Networking: Build connections within the AI community and gain insights into the startup ecosystem.
Who should apply
Successful candidates will:
* Be enrolled in, or have recently completed, a degree in Computer Science, Software Engineering, or a related field;* Have a strong foundation in programming languages such as Python or Java;* Can demonstrate a keen interest in AI technologies and their applications;* Possess excellent problem-solving skills and a collaborative mindset;* Have a self-starter attitude, with a passion for innovation, experimentation and continuous learning.
The application process
1. Apply online: Interested candidates should apply via our careers page (https://www.unlikely.ai/careers).
2. Technical Assessment: If your application is initially successful, we will provide a short technical assessment to be completed at home.
3. Final Interview: Candidates who successfully pass the technical assessment will be invited to a final interview, where they’ll be able to meet some of our team and learn more about the company.
About UnlikelyAI
UnlikelyAI is a London-based deep tech startup pioneering a new approach to artificial intelligence - delivering the full potential of modern AI while ensuring reliability, accuracy, and transparency. Founded by William Tunstall-Pedoe, known for his pioneering work in voice technology and role in Amazon’s Alexa following the acquisition of his startup Evi, UnlikelyAI is at the forefront of developing trustworthy artificial intelligence solutions.Our mission is to create AI systems that are controllable, auditable, and hallucination-free, making them suitable for critical applications in regulated industries. We achieve this through our groundbreaking technology that eliminates common AI pitfalls such as incorrect results, hallucinations, bias, and black-box decision making.
Our internship programme
We are offering a 3-month internship programme designed for individuals passionate about software engineering and eager to experience the dynamic environment of a startup at the cutting edge of AI R&D. Interns will have the opportunity to work alongside our expert team, contributing to projects that aim to redefine the capabilities of AI systems.
Join UnlikelyAI and be part of a team that’s shaping the future of artificial intelligence.
What you'll gain
Our internship programme will give you direct exposure to the AI industry, at a fast-paced startup. You will gain:
* Hands-On Experience: Engage directly with our neurosymbolic AI platform, contributing to real-world projects that combine machine learning with symbolic reasoning;* Mentorship: Receive guidance from industry leaders, including team members with experience at Amazon, Apple, and Microsoft;* Skill Development: Enhance your skills in AI development, research methodologies, and startup operations;* Networking: Build connections within the AI community and gain insights into the startup ecosystem.
Who should apply
Successful candidates will:
* Be enrolled in, or have recently completed, a degree in Computer Science, Software Engineering, or a related field;* Have a strong foundation in programming languages such as Python or Java;* Can demonstrate a keen interest in AI technologies and their applications;* Possess excellent problem-solving skills and a collaborative mindset;* Have a self-starter attitude, with a passion for innovation, experimentation and continuous learning.
The application process
1. Apply online: Interested candidates should apply via our careers page (https://www.unlikely.ai/careers).
2. Technical Assessment: If your application is initially successful, we will provide a short technical assessment to be completed at home.
3. Final Interview: Candidates who successfully pass the technical assessment will be invited to a final interview, where they’ll be able to meet some of our team and learn more about the company.
Job stats:
12
2
0
Category:
Engineering Jobs
Tags: Computer Science Engineering Java Machine Learning Python R R&D Research
Perks/benefits: Career development Startup environment
Region:
Europe
Country:
United Kingdom
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