machine learning internship Work, Jobs in london (with Salaries)

Machine Learning Intern, London
SS&C Technologies —London
- Full-time
- Hybrid work
- Computer Science
- Analysis skills
- Machine learning
Machine Learning Engineering Intern
Snapchat —London
- Hybrid work
- Master's degree
- Bachelor's degree
- Machine learning
Internship Opportunities with Quantinuum 2026 - UK/Germany
Quantinuum —London
- Internship
Machine Learning Engineer Intern (100% Remote Worldwide)
Tether Operations Limited —London
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Machine Learning Engineer Intern (100% Remote)
Tether Operations Limited —London
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Forward Deployed AI Scientist, Internship, United Kingdom - BCG X
Boston Consulting Group —London
- Full-time
- Doctoral degree
- DevOps
- Master's degree
Science Team Internship
Climate X —London
- Full-time
- Machine learning
- Internship
- Python
Internship Programme 2027: Data Scientist and Analyst
Revolut —London
- Full-time
- Hybrid work
- Computer Science
- English
- Master's degree
6d
London – Long Term Internship 2026 – Automated Market Making (AMM)
BNP Paribas —London
- Full-time
- Hybrid work
- Machine learning
- Organisational skills
- Internship
- Employee assistance programme
2025 | EMEA | London | Engineering | Seasonal/Off Cycle Internship
Goldman Sachs —London
- Internship
Operations & Process Improvement Intern - Financial Crime Ops
Lendable —London
- £30,000 a year
- Hybrid work
- Machine learning
- Financial services
- Internship
- Referral programme
8d
Quantitative Researcher (Intern)
MerQube Inc —London
- SQL
- Machine learning
- Internship
Intern, AI Engineer
European Bank for Reconstruction and Development —London
- Azure
- Master's degree
- Machine learning
5h
Research Intern - Machine Learning and Natural Language Processing (PhD)
Thomson Reuters —London
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
PhD Internship - Summer 2026
iSAM Securities —London
- Seasonal
- Doctoral degree
- Analysis skills
- Machine learning
Software Engineering Intern
Pear VC —London
- Full-time
- DevOps
- AWS
- JavaScript
Risk intern
Allianz —Croydon
- Part-time
- Hybrid work
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Research Intern (London)
The Voleon Group —London
- Hybrid work
- Doctoral degree
- Machine learning
- Software development
AI Research Intern - Agentic AI
Samsung Electronics —Staines-upon-Thames
- Hybrid work
- Computer Science
- Engineering
- System design
Intern Software Engineer: Visual Simulation
Lodestar —London
- £27,000 a year
- Computer Science
- C++
- Scripting
5d

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Machine Learning Intern, London

SS&C Technologies -
London

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Job details

Full-time

Qualifications

Statistics
Computer Science
MongoDB
Analysis skills
Docker
C
Machine learning
PostgreSQL
Angular
Software development
GitHub
Regression analysis
Clustering
Python

Full job description

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.

Job Description

Job Title
Summer Internship – Machine Learning

Location: London | Hybrid

Get To Know Us:
SS&C is a global provider of investment and financial software-enabled services and software for the financial services and healthcare industries. Named to Fortune’s Fintech 50 list, SS&C is headquartered in Windsor, Connecticut, and has more than 27,000 employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world’s largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.

Our Fund Services business delivers innovative solutions to investment managers and financial institutions globally. This internship offers an exciting opportunity to work alongside experienced software engineers and machine learning specialists on enterprise-scale applications supporting the financial services industry.

Why You Will Love It Here!

Flexibility: Hybrid Work Model
Your Future: Professional Development Reimbursement including access to SS&C University
Work/Life Balance: Competitive holiday scheme
Your Wellbeing: Competitive benefits designed to support the wellbeing of our staff
Diversity & Inclusion: Committed to Welcoming, Celebrating and Thriving on Diversity
Training: Hands-On, Team-Customised throughout your career

What You Will Get To Do:

Support the development and deployment of machine learning solutions within the Fund Services business
Build and enhance software applications and machine learning pipelines using Python
Work with supervised and unsupervised machine learning techniques to solve business challenges
Assist in the design, testing, and optimisation of machine learning models and neural networks
Collaborate with global development teams within a distributed working environment
Work with modern technologies including Docker, databases, CI/CD pipelines, and frontend tools
Participate in technical discussions, code reviews, and continuous improvement initiatives

What You Will Bring:

Currently studying towards a Bachelor’s Degree in Computer Science or a related field
Experience using Python for systems or software development
Strong knowledge of statistics, probability, and machine learning concepts
Understanding of supervised and unsupervised statistical techniques including regression, clustering, and dimensionality reduction
Strong knowledge of neural networks and machine learning methodologies
Strong analytical and problem-solving skills
Ability to work effectively within a distributed global team
Drive, curiosity, and passion to learn new technologies and skills

Desirable Skills

Experience using Docker
Experience using MongoDB
Experience using PostgreSQL
Experience using Angular
Experience using GitHub version control
Experience with CI/CD tools such as GitHub Actions

We encourage applications from people of all backgrounds to enable us to bring diverse perspectives to our thinking and conversation. It's important to us that we strive to have a workforce that is diverse in the widest sense.

Thank you for your interest in SS&C Technologies Careers. If applicable, to further explore this opportunity, please apply directly with us through our Careers page on our corporate website.

Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.

Applications will be accepted on an ongoing basis until the position is filled.

SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.

Apply Now

Refine Your Search

machine learning internship jobs in london

Machine Learning Intern, London

Machine Learning Engineering Intern

Internship Opportunities with Quantinuum 2026 - UK/Germany

Machine Learning Engineer Intern (100% Remote Worldwide)

Machine Learning Engineer Intern (100% Remote)

Forward Deployed AI Scientist, Internship, United Kingdom - BCG X

Science Team Internship

Internship Programme 2027: Data Scientist and Analyst

London – Long Term Internship 2026 – Automated Market Making (AMM)

2025 | EMEA | London | Engineering | Seasonal/Off Cycle Internship

Operations & Process Improvement Intern - Financial Crime Ops

Quantitative Researcher (Intern)

Intern, AI Engineer

Research Intern - Machine Learning and Natural Language Processing (PhD)

PhD Internship - Summer 2026

Software Engineering Intern

Risk intern

Research Intern (London)

AI Research Intern - Agentic AI

Intern Software Engineer: Visual Simulation

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