Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Machine Learning Software Engineer - CX.

Cisco
London
4 days ago
Create job alert

Meet the Team

Cisco’s Customer Experience (CX) organization is one of the company's fastest-growing and most innovative teams, crafting a first-in-class digital experience for our customers and partners everywhere they connect with Cisco. CX Platform is a platform-centric to support the diverse requirements of the CX organization and is being built with emerging technologies including predictive AI and generative AI to drive additional customer success. We are at the epicenter of developing modern, cloud-native technologies that allow us to stay agile and adaptable in a constantly evolving market. Pioneers in our field, CX enables customers to maximize value with a simple, unified Cisco experience, driving accelerated time to impact. We deliver on time with high quality & urgency, and we drive decisions with data and transparency while leading with ownership & accountability.

Your Impact

The AI Incubation Team, a part of CX, is at the forefront of AI development and is seeking a Software Engineer to create innovative, production-ready solutions that enhance AI integration across intelligent applications, while promoting best practices, technical excellence, and scalable engineering.

Write high-quality, production-ready code to tackle complex challenges using AI, shaping the future of intelligent applications. Champion the best engineering practices, mentoring peers and driving technical excellence across the team. Identify and develop reusable tools and components that enhance efficiency across multiple projects. Design infrastructure and tooling that streamline model interactions, making AI integration seamless and scalable. Maintain and improve the stability, performance, and maintainability of the codebase, ensuring its success over the long run.

Minimum Qualifications

Good knowledge of a modern high-level language (Python is a requirement. Other languages, such as Go, Java, Rust, C++ and C# are a bonus) At least 3 years previous experience in a Software Engineering role Basic understanding of common ML concepts, required tooling and most used frameworks (i.e, PyTorch) Commitment to producing and maintaining high quality code with lots of “ilities”(maintainability, testability, reusability etc.)

Preferred Qualifications

Experience in working with dispersed teams and collaborating asynchronously to successfully complete tasks and project Understanding that testing, deploying and maintaining features is as important as developing them Strong and demonstrable understanding of Agile and DevOps methodology An enthusiasm for working with and developing knowledge of emerging technologies Very strong written and verbal communication skills, with the ability to communicate effectively with a range of audiences The ability to manage own workload, and that of a team, to work effectively and to deadlines

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. Simply put – we power the future.

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.

Related Jobs

View all jobs

Machine Learning Operations Engineer

Machine Learning Manager, London London

Data Scientist

Senior Machine Learning Engineer (GenAI)

Senior AI Engineer - Generative AI and Search - Artificial Intelligence

Senior ML Platform Engineer (London) - Artificial Intelligence

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.