C++ AI/ML Security Engineer – Endpoint Intelligence

Hewlett Packard Enterprise; Cambridge; Hybrid; GBP 60,000 - 80,000; Full time

Benefits offered by this job

Comprehensive benefits package

Career development opportunities

Job summary

Hewlett Packard Enterprise is seeking an experienced C++ AI/ML Software Engineer to join the HP Wolf Security team in Cambridge, UK. You will be instrumental in designing and developing intelligent security solutions that leverage machine learning and AI capabilities.

The ideal candidate will have a solid background in C++ and experience with AI-based software, contributing to innovative features in endpoint security. This role supports a hybrid working model, requiring onsite presence three days a week.

Qualifications

• Strong proficiency in modern C++ design and development.
• Experience developing machine-learning software solutions.
• Excellent problem-solving skills in software engineering.
• Experience working with Python for automation.
• Understanding of software development lifecycle processes.

Responsibilities

• Design and develop AI/ML features within HP Wolf Security products.
• Develop high-performance C++ components for security solutions.
• Collaborate with data scientists on AI algorithms.
• Optimise model performance and resource utilisation.

Skills

C++ proficiency

Machine Learning experience

Python for workflows

Analytical skills

Understanding of security applications

Education

Bachelor's or Master's in Computer Science, AI, or related

Tools

TensorFlow

PyTorch

MLOps practices

Job description

Hewlett Packard Enterprise is seeking an experienced C++ AI/ML Software Engineer to join the HP Wolf Security team in Cambridge, UK. You will be instrumental in designing and developing intelligent security solutions that leverage machine learning and AI capabilities.

The ideal candidate will have a solid background in C++ and experience with AI-based software, contributing to innovative features in endpoint security. This role supports a hybrid working model, requiring onsite presence three days a week.