Ai engineer internship Work, Jobs (with Salaries)

Associate AI Engineer (12-Month Associate Programme)
Applied Data Science Partners —London
- Hybrid work
- Computer Science
- SQL
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- Annual leave
10d
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- £25,000 - £30,000 a year
- Hybrid work
- Computer Science
- Engineering
- Master's degree
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- £28,000 a year
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- £45,000 - £55,000 a year
- Full-time
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Applied AI ML Associate - Agentic AI and Python
JPMorganChase —Glasgow
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GSMA —London
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Forward Deployed AI Engineer, Internship, United Kingdom - BCG X
Boston Consulting Group —London
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- Full-time
- Computer Science
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Software Engineering Intern
Pear VC —London
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Google —London
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Research Engineer Intern (Multimodal LLM)
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- £30,000 - £35,000 a year
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11d
Systems Engineering Intern (London) - Summer 2027
D. E. Shaw & Co., L.P. —London
- Computer Science
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Research Scientist – World Models, Robotics & Embodied AI
Meta —London
- Research
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- Internship

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Associate AI Engineer (12-Month Associate Programme)

Applied Data Science Partners
London

Apply Now

Job details

Permanent | Internship
10 days ago

Benefits

Annual leave
Private medical insurance

Qualifications

Technical troubleshooting
Computer Science
Data structures
SQL querying
Git
SQL
OOP
CI/CD pipelines
Machine learning
Data pipeline
Organisational skills
Software development
Technical writing
AI
Communication skills
Analytics

Full job description

Are you passionate about solving complex problems and eager to launch your career in Artificial Intelligence? We are excited to invite applications for our Associate AI Engineer Programme.

This 12-month scheme offers you the unique opportunity to work across our engineering and machine learning teams. You will gain hands-on experience, learn from experts, and contribute to impactful AI projects that drive real-world solutions. We also provide a generous £2,500 training budget to elevate your skills and prepare you for a successful career. Upon successful completion, you will be offered a permanent role with us.

If this sounds like a match for your career ambitions, we can't wait to hear from you!

KEY RESPONSIBILITIES:

Contribute to the development, testing, and deployment of software and AI solutions.
Support the creation of data processing pipelines for extracting, cleaning, transforming, and validating data using Python and SQL.
Assist in building and maintaining production-quality code and services.
Contribute to machine learning, automation, and AI-related projects under guidance from senior team members.
Participate in code reviews and collaborative development activities.
Create and maintain technical documentation for solutions and processes.
Investigate, troubleshoot, and resolve technical issues.
Apply software engineering best practices including testing, version control, and code quality standards.
Adopt modern engineering tools and practices, including Git, Docker, cloud platforms, and CI/CD processes.
Continuously develop technical knowledge and contribute to team learning and improvement initiatives.

KEY REQUIREMENTS:

Degree in a relevant discipline such as Computer Science, Software Engineering, Data Science, Mathematics, or another relevant quantitative field (equivalent self-directed learning and demonstrable project portfolio may be considered).
Experience applying technical skills through academic coursework, personal projects, internships, hackathons, or open-source contributions.
Experience participating in collaborative project work.
Exposure to software development using Python or another modern programming language.
Exposure to version control tools such as Git is desirable.
Little to no industry experience required.
Experience applying technical skills through academic, personal, open-source, internship, cloud, or AI-related projects.
Ability to develop software in Python (or a similar language), applying object-oriented programming concepts, data structures, and algorithms.
Fundamental understanding of data analysis, mathematics, statistics, and the AI landscape.
Ability and enthusiasm to solve complex technical problems using logical and analytical thinking.
Ability to identify areas for growth and learn new technologies, skills, and concepts.
Ability to successfully work with, and contribute to, a team.
Effective communication skills through written and verbal communication, active listening, and questioning.
Effective organisational skills, including planning, prioritisation, and time management.
High attention to detail and commitment to quality.

INTERVIEW PROCESS:

Stage 1: 20 min initial video call with a member of the hiring team

Stage 2: 30 min video call with a member of the technical team

Stage 3: 60 min F2F interview in our London office

OUR BENEFITS:

At ADSP, we believe in rewarding talent and supporting your growth. Here’s what you can look forward to as part of our team:

Competitive compensation package including annual performance bonus
26 days of annual leave, 8 bank holidays plus your birthday off
BUPA Private Healthcare
Enhanced family leave
Enhanced £2,500 annual development budget
Flexible hybrid working (3 days a week in our modern Shoreditch office)
Remote working from anywhere in the world for up to 4 weeks each year
Latest tech that suits your needs: high-spec Windows machine or a MacBook
Free snacks and drinks, and regular team socials
Supportive entrepreneurial environment offering a ton of autonomy and opportunity to work on a variety of projects, technologies and industries

Join us and realise your full potential in a collaborative, forward-thinking team, where your work will help shape the future.

OUR COMMITTMENT TO DEI:

At ADSP, we are committed to fostering an inclusive hiring process and believe in creating an environment where all candidates have equal opportunities to succeed. If you require any reasonable adjustments during the application or interview process, please do not hesitate to reach out to us at [email protected]

Team

Delivery Team

Locations

London, UK

Remote status

Hybrid

Contact Holly Higginson Talent Acquisition Coordinator – People Team

Apply Now

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Associate AI Engineer (12-Month Associate Programme)