AI & ML Graduate β€” Hybrid in Cambridge Program

AI & ML Graduate β€” Hybrid in Cambridge Program

Cambridge Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
TargetJobs UK

At a Glance

  • Tasks: Join a global team to design and implement AI capabilities across innovative products.
  • Company: AVEVA, a leader in AI development with a collaborative culture.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Exciting career prospects in a dynamic and supportive environment.
  • Why this job: Make a real impact in AI while working with cutting-edge technologies.
  • Qualifications: Recent graduates in AI & ML with a passion for technology and collaboration.

The predicted salary is between 80000 - 100000 Β£ per year.

AVEVA is recruiting AI & ML graduates for a September 2026 intake in Cambridge, operating in a hybrid model with 3 days in the office.

You will join a global AI development group to design, implement and test AI capabilities across AVEVA products, collaborating with architects, domain experts, and engineers.

The role focuses on managing training data, deploying and monitoring AI/Analytics services, and applying the latest technologies to deliver meaningful capabilities to the market.

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AI & ML Graduate β€” Hybrid in Cambridge Program employer: TargetJobs UK

At targetjobs UK, we pride ourselves on being an excellent employer, offering a supportive work culture that fosters innovation and collaboration. Our Graduate Fire Engineer role not only provides competitive benefits such as 25 days holiday and flexible working options but also presents unique opportunities for professional growth in the thriving Cherwell District. Join us to make a meaningful impact in fire safety while enjoying a balanced work-life environment.

TargetJobs UK

Contact Details:

TargetJobs UK Recruitment Team

We think you need these skills to ace AI & ML Graduate β€” Hybrid in Cambridge Program

AI Development
Machine Learning
Data Management
Deployment of AI Services
Monitoring AI/Analytics Services
Collaboration Skills
Technical Implementation