Graduate Software Engineer: ML Frameworks & AI Systems

EngineersOfAI; Bristol; On-site; GBP 30,000 - 40,000; Full time

Benefits offered by this job

Flexible working

Generous leave

Retirement planning support

Phantom equity

Workplace experience

Peace of mind protection

Flexible benefits

Optional benefits

Job summary

EngineersOfAI in Bristol is seeking a Graduate Software Engineer to assist in building software that enhances machine learning development for Graphcore hardware. You will be responsible for connecting accelerators with ML frameworks and contributing significantly to features and performance improvements.

The role requires a strong academic background, hands-on programming experience, and offers flexible working arrangements, generous leave, and a meticulously designed workplace.

Qualifications

• Bachelor’s or master’s degree in computer science, Maths, Machine Learning, Data Science, or a related field.
• Hands-on experience with Python or C++, gained through study, projects, placements, internships, or open source.
• Practical experience or strong academic understanding of compiler development.
• Ability to write clear, maintainable code, tests, and documentation.
• Curiosity, ownership, and willingness to learn through feedback and technical discussion.

Responsibilities

• Build software that aids machine learning developers with Graphcore hardware.
• Connect Graphcore accelerators with ML frameworks that developers use.
• Contribute to features, tests, documentation, and code reviews.
• Take ownership of meaningful work early, with support from experienced engineers.

Skills

Hands-on experience with Python or C++

Compiler development understanding

Ability to write clear, maintainable code

Interest in AI and machine learning frameworks

Education

Bachelor’s or master’s degree in computer science, Maths, or related field

Job description

EngineersOfAI in Bristol is seeking a Graduate Software Engineer to assist in building software that enhances machine learning development for Graphcore hardware. You will be responsible for connecting accelerators with ML frameworks and contributing significantly to features and performance improvements.

The role requires a strong academic background, hands-on programming experience, and offers flexible working arrangements, generous leave, and a meticulously designed workplace.