Staff Robotics AI/ ML Engineer

Analog Devices; City of Edinburgh; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading semiconductor company in Edinburgh is seeking a Staff Robotics AI / ML Engineer to develop intelligent systems for robotics. The ideal candidate will have over 6 years of experience in AI and robotics, and a strong background in Python, ROS, and computer vision. This hands-on role involves working with multi-disciplinary teams to create robust, efficient AI-based robot policies. A competitive salary and a collaborative environment are offered.

Qualifications

• 6+ years of experience in AI, robotics, or computer vision.
• Knowledge of robot locomotion, kinematics, and dynamics.
• Comfortable with real-world sensor data and simulation tools.
• Experience with DevOps/MLOps tools.

Responsibilities

• Develop and integrate task policies using hierarchical planning or reinforcement learning.
• Design and implement planning systems for robotic applications.
• Prototype policy architectures that operate under tight constraints.
• Contribute to the evolution of the Edge AI stack.
• Work with real-world and simulated sensor data.
• Participate in project planning and code reviews.

Skills

robot policies

task planning

computer vision

decision-making under uncertainty

Python

ROS

PyTorch

TensorFlow

DevOps/MLOps

Education

Bachelor's degree in Robotics, Computer Science, or Electrical Engineering

M.S. or Ph.D.

Tools

Docker

CI/CD pipelines

Git

Gazebo

Isaac Sim

MuJoCo

OpenAI Gym

Unreal

Job description

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and Twitter (X).

Position

Staff Robotics AI / ML Engineer

Location: Edinburgh, Scotland

Team: Edge AI Group, Analog Devices Inc. (ADI)

Analog Devices\' Edge AI team is reimagining how machines perceive, decide, and act in the world around them. We\'re developing intelligent systems that bring together best-in-class sensing with real-time AI.

We\'re looking for a Staff AI/ML Engineer with deep expertise in robot policies, task planning, computer vision and decision-making under uncertainty. Your work will drive how autonomous systems reason about goals, decompose tasks, and adapt in dynamic environments.

You\'ll be a core contributor to the development of robust and efficient AI-based robot policies, working alongside experts in hardware, embedded systems, and AI software. This is a hands-on role that blends applied research with production-grade engineering.

Responsibilities

• Develop and integrate task policies using techniques such as hierarchical planning, reinforcement learning, or hybrid methods.
• Design and implement short and long-horizon planning systems for real-world robotic applications.
• Prototype and deploy scalable policy architectures that operate under tight latency and compute constraints at the Edge.
• Contribute to the evolution of our Edge AI stack by connecting planning with low-level controls and high-level semantic reasoning.
• Work with real-world and simulated sensor data to test and refine models; contribute to internal datasets and benchmarking tools.
• Participate in project planning, code reviews, and architectural discussions; take ownership of technical areas and deliver high-quality, reliable implementations.
• Stay current with trends in AI for robotics (e.g., expert and generalist policies, foundation models), and help integrate relevant advancements into our workflows.

Qualifications

• 6+ years of experience in AI, robotics, or computer vision.
• Bachelor's degree in a relevant field (e.g., Robotics, Computer Science, Electrical Engineering); M.S. or Ph.D. preferred.
• Knowledgeable in the areas of robot locomotion, robot kinematics and robot dynamics.
• Proficient in Python, with practical experience using ROS, PyTorch or TensorFlow.
• Comfortable working with real-world sensor data (e.g., ToF, vision, IMU) and simulation tools like Gazebo, Isaac Sim, MuJoCo, OpenAI Gym or Unreal.
• Experience with DevOps/MLOps tools: Docker, CI/CD pipelines, version control (Git).
• Skilled at communicating technical insights, collaborating with multi-disciplinary teams, and contributing to shared architectural decisions.

Bonus Experience

• Experience integrating perception models with control loops, path planning, or robot operating systems (ROS2).
• Familiarity with industrial robotics, fixed arm robots, or autonomous systems in structured environments.
• Contributions to open-source robotics or AI frameworks.

Why Join Us?

Join ADI\'s Edge AI team to help create truly intelligent edge systems - where sensing, learning, and acting happen in real time. You\'ll work in a fast-paced, collaborative environment, solving hard problems with people who care about impact, reliability, and real-world performance.

#LI-BF1

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

Job Req Type: Experienced

Required Travel: Yes, 10% of the time

Shift Type: 1st Shift/Days