Software Engineer Intern - Real-Time AI & Systems

Deductive AI; Greater London; On-site; GBP 17,000 - 22,000; Full time

Benefits offered by this job

Hands-on experience in a fast-growing startup

Direct mentorship from experienced engineers

Collaborative and inclusive work environment

Competitive compensation

Opportunities for academic engagement

Job summary

A forward-thinking AI startup located in Camden, London, is seeking a Software Engineering Intern to solve challenging problems at the intersection of AI, code understanding, and data analytics. This paid internship offers hands-on experience in building large-scale data processing systems, mentorship from experienced engineers, and potential full-time opportunities. Key qualifications include enrollment in a Master's or PhD program, knowledge of programming languages like Java or Python, and familiarity with machine learning concepts.

Qualifications

• Enrolled in a Master’s or PhD program with a strong academic record.
• Strong foundation in data structures, algorithms, and system design.
• Familiarity with programming languages such as Java, Scala, Python, Javascript, or C++.
• Understanding of machine learning frameworks and applying ML techniques.
• Desirable experience with code observability tools and large-scale system design.
• Strong analytical skills and attention to detail.

Responsibilities

• Work on cutting-edge technology to solve problems in AI and data analytics.
• Build large-scale code and data processing systems.
• Collaborate with a team on various projects based on intern's skills.

Skills

Data structures

Algorithms

System design

Java

Scala

Python

Javascript

C++

Machine learning frameworks

Real-time analytics

Education

Master’s or PhD in Computer Science or related field

Job description

A forward-thinking AI startup located in Camden, London, is seeking a Software Engineering Intern to solve challenging problems at the intersection of AI, code understanding, and data analytics. This paid internship offers hands-on experience in building large-scale data processing systems, mentorship from experienced engineers, and potential full-time opportunities. Key qualifications include enrollment in a Master's or PhD program, knowledge of programming languages like Java or Python, and familiarity with machine learning concepts.