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

Apply Now

Edge AI / ML Software Specialist

Arm Limited
Cambridge
3 days ago
Create job alert
Job Overview:

Are you passionate about making AI run right at the Edge? Do you want to help drive the transition of AI from the data center to Edge and IoT devices? We're looking for an enthusiastic ML developer to build applications and models to be used on the next generation of Edge AI devices. You'll work as part of a broad team to help take next-generation AI technology out of the lab and into the hands of real developers!


Arm has revolutionised multiple industries and is now defining the future of AI on edge computing. The IoT Line of Business is rapidly moving inference from being a cloud centric compute, to a distributed local computing experience with all the benefits of reduced latency, privacy and cost this change will deliver.


Responsibilities:

  • Work with external customers and partners to understand their ML workloads and requirements
  • Train models and build applications to run on Arm's next generation of Edge AI devices
  • Contribute to the definition of software, middleware and tools to for ML developers and Edge AI
  • Work with our Developer Community teams to help engineers and ML specialists unlock the potential of their Arm-based devices
  • Work with our software engineering teams to build and deliver our experience kits

Required Skills and Experience :

  • Strong ML/AI skills and an experience fine-tuning AI workloads to run well on Edge devices
  • An understanding of the needs of developers working with AI at the Edge
  • Good familiarity in one of the popular ML frameworks such as PyTorch/ExecuTorch, TensorFlow, JAX, ONNX PaddlePaddle
  • Experience working in the IoT or Embedded devices, including microcontrollers
  • A curious mind and an interest in continuous learning

Strong written and verbal communication skills
“Nice To Have” Skills and Experience :

  • An understanding of the latest trends in AI/ML research and development
  • Solid development skills low-level programming languages like C, C++ or Rust
  • A background in a delivering a Linux software distribution or in platform software development
  • A history of developer engagement or participation in an active open-source development community
  • Experience of Product Owner roles, or a desire to growing into more commercial and product focused roles

In Return:

With offices around the world, Arm is a diverse organization of dedicated, creative and talented engineers. By enabling a dynamic, inclusive, meritocratic, and open workplace, where all our people can grow and succeed, we encourage our people to share their unrivalled contributions to Arm's success in the global marketplace.


Accommodations at Arm

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.


Hybrid Working at Arm

Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.


Equal Opportunities at Arm

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


#J-18808-Ljbffr

Related Jobs

View all jobs

Software Development Director

Backend Python Developer

Software Engineer - Industrial IoT

Data Scientist, Silicon and Systems Group Edge AI

Full Stack Engineer - Node, Typescript, Python, IoT

Junior Mechanical Design Engineer

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.

Edge Computing Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK edge computing hiring has moved from tool‑lists to capability‑driven assessments that emphasise resilient edge architectures, real‑time data pipelines, secure device fleets, container/Kubernetes at the edge, on‑device/near‑edge ML, and measurable business impact (latency, reliability, cost‑to‑serve). This guide explains what’s changed, what to expect in interviews & how to prepare—especially for edge platform engineers, IoT/OT engineers, edge SREs, embedded/firmware engineers, edge AI/ML engineers, network engineers (5G/private LTE), security specialists & product managers. Who this is for: Edge platform/SRE, IoT solution architects, embedded/firmware developers, edge AI/ML engineers, network engineers (5G/SD‑WAN), security engineers (OT/ICS), data/streaming engineers, site deployment/field engineers & edge product managers targeting roles in the UK.

Why Edge Computing Careers in the UK Are Becoming More Multidisciplinary

For years, computing innovation was focused on the cloud. But as demand for real-time analytics, low-latency processing and secure local data handling grows, edge computing has become the next frontier. From autonomous vehicles to healthcare monitoring devices, retail checkout systems to industrial IoT, edge computing is transforming how data is processed and used in the UK. This shift has also changed what it means to work in the field. Edge computing careers are no longer purely technical. They now require knowledge of law, ethics, psychology, linguistics & design, as professionals must consider regulation, human behaviour, communication & usability alongside engineering. In this article, we’ll explore why UK edge computing careers are becoming more multidisciplinary, how these five fields intersect with edge roles, and what job-seekers & employers need to know to thrive in this evolving landscape.

Edge Computing Team Structures Explained: Who Does What in a Modern Edge Computing Department

Edge computing is expanding rapidly in the UK, driven by demands for low latency, on-site processing, IoT proliferation, autonomous systems, 5G, AI inference on devices, and regulatory pressures for data sovereignty. Businesses in sectors such as telecoms, industrial automation, retail, smart cities, autonomous vehicles, and healthcare are pushing computation and intelligence closer to where data is generated. But to design, build, deploy, secure, and maintain edge computing systems requires more than just hardware or software — it requires structured teams with clearly defined roles and responsibilities. If you’re hiring, or applying for roles via EdgeComputingJobs.co.uk, understanding who does what in a mature edge computing department will help you plan better, show relevance in job applications, and build resilient teams. This article covers the key roles in edge computing teams, how they collaborate through the project lifecycle, what skills and qualifications UK employers usually expect, salary benchmarks, challenges and trends, and best practices for structuring effective edge teams.