Nepternship is connecting qualified students with a potential software engineering internship opportunity at a major tech company in London. A role would offer hands-on exposure to applied machine learning, model integration, and large-scale AI infrastructure across active consumer and enterprise products. Interns could work directly alongside engineers, ML engineers, and engineering managers and gain real-world experience in software engineering that goes well beyond the classroom.
Responsibilities
- Conduct in-depth technical research, model benchmarking, and competitive analysis to support active AI product roadmaps
- Draft technical design docs, RFCs, and engineering memos for review by senior engineers and technical leads
- Assist with model integration, ML pipeline implementation, and performance optimisation across live product surfaces
- Prepare materials for design reviews, sprint planning, and launch readiness milestones
- Collaborate with product, research, and cross-functional teams on roadmap planning and release strategy
Qualifications
- Computer Science, Computer Engineering, or related technical major
- Strong programming skills (Python, Java, Go, or similar)
- Familiarity with data structures, algorithms, and machine learning fundamentals
- Experience with version control (Git) and code review workflows
- Analytical mindset
Pay: £30.00-£40.00 per hour
Expected hours: 40.0 per week
Benefits:
- Additional leave
- Canteen
- Childcare
- Company car
- Company events
- Company pension
- Discounted or free food
- Employee discount
- Employee mentoring programme
- Employee stock ownership plan
- Employee stock purchase plan
- Enhanced paternity leave
- Flexitime
- Free flu jabs
- Free parking
- Gym membership
- Health & wellbeing programme
- Housing allowance
- Life insurance
- On-site gym
- On-site parking
- Paid volunteer time
- Private dental insurance
- Private medical insurance
- Referral programme
- Shuttle service provided
- Sick pay
- UK visa sponsorship
- Unlimited paid holidays
- Work from home
Work Location: In person
