Machine Learning Engineer

Cisco Systems; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading technology solutions provider based in Greater London is seeking a knowledgeable AI Research Scientist to advance the field of video perception through innovative methods in 2D and 3D understanding. The ideal candidate should hold a Bachelor’s, Master’s, or PhD in AI or a related field, or have significant hands-on experience. Responsibilities include researching and developing prototypes, defining data strategies, and collaborating closely with engineering teams. Join us to make a substantial impact on AI-powered solutions.

Benefits

Collaborative work environment

Opportunity for innovation

Career growth and development opportunities

Qualifications

• Bachelor's, Master's, or PhD in AI or related field.
• At least 3 years of experience in AI model research and training.
• Strong experience with deep learning frameworks.
• Publications or contributions demonstrating applied research impact.

Responsibilities

• Research advanced methods for video perception.
• Define data collection and evaluation strategies.
• Develop prototypes to validate research ideas.
• Collaborate with engineering teams to transition models into production.

Skills

AI model research

Computer Vision

Deep Learning

3D perception techniques

Robotics

Education

Bachelor’s degree in AI or related field

Master’s degree in AI or related field

PhD in AI or related field

Bachelor’s degree in unrelated field with 5 years experience

Tools

PyTorch

TensorFlow

Job description

Meet the Team

Join an applied research team advancing the state of the art in Video AI for real-world perception systems. We operate at the intersection of computer vision research and large-scale product development, focusing on methods that enable robust 2D and 3D understanding of visual data.

Our team owns the applied research lifecycle end to end—from problem formulation and data strategy, through model development, experimentation, and evaluation—working closely with production engineering teams to transition validated models into real products. We emphasize research rigor, empirical validation, and practical impact, translating novel ideas into deployable machine learning solutions under real-world constraints.

Your Impact

• Research and develop advanced methods for video perception, with a strong emphasis on both 2D and 3D understanding
• Investigate approaches for tasks such as detection, tracking, scene understanding, reconstruction, and multimodal perception
• Define data collection, curation, and annotation strategies to support effective training and evaluation of Video AI models
• Train, evaluate, and refine models through systematic experimentation and quantitative analysis
• Develop prototypes, reference implementations, and tooling to validate research ideas and guide downstream implementation
• Partner closely with production engineering teams to transition research models into deployed systems, advising on architecture, performance trade-offs, and integration considerations
• Stay current with advances in computer vision and applied machine learning research, and assess their applicability to real-world problems

Minimum Qualifications

• Bachelor’s, Master’s, or PhD degree in Artificial Intelligence or a closely related field (e.g., Computer Vision, Machine Learning, Robotics, Computer Science):
• Bachelor’s degree plus 3 years of relevant experience in AI model research and training
• Master’s degree plus 1 year of relevant experience in AI model research and training
• PhD degree with no additional industry experience required

OR

• Bachelor’s, Master’s, or PhD degree in a field not directly related to Artificial Intelligence:
• Minimum of 5 years of hands-on experience in AI model research and training

Preferred Qualifications

• PhD or equivalent research experience in computer vision, 3D perception, robotics, or a closely related field
• Experience with 3D perception techniques such as depth estimation, multi-view geometry, point clouds, SLAM, or neural rendering
• Strong hands-on experience with deep learning frameworks such as PyTorch or TensorFlow
• Familiarity with video pipelines, multimodal learning, or sensor fusion
• Understanding of model deployment considerations such as latency, memory, robustness, and scalability, even if not directly responsible for production implementation
• Experience collaborating across research, software, and product teams to deliver ML-driven capabilities
• Publications, patents, or open-source contributions demonstrating applied research impact

Why Cisco?

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.

Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.