Job Details
Hybrid
Mid
Full-time
£70,000 - £80,000 p/y
Job Overview
AI
Hybrid
Mid
Full-time
£70,000 - £80,000 p/y
Today
Tech Stack
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Perks & Benefits
About the Role
Senior AI & Robotics Engineer
Oxfordshire (Hybrid) | £70,000-£80,000 + Bonus + Benefits
*MUST HAVE VALID RIGHT TO WORK IN UK*
We're working with an innovative technology business based in Oxfordshire that is expanding its AI and Robotics team following continued growth and investment.
This is an exciting opportunity to join a multidisciplinary engineering team developing next-generation intelligent systems that combine AI, machine learning and robotics to solve complex real-world challenges.
Working closely with software engineers, data scientists and product teams, you'll play a key role in designing, developing and deploying AI-driven solutions from concept through to production.
Responsibilities:
- Design and develop AI-powered software for robotic and autonomous systems.
- Build, train and optimise machine learning models for real-world applications.
- Develop computer vision and sensor fusion capabilities.
- Work with LLMs and Generative AI technologies to create intelligent workflows and automation.
- Collaborate with Product Managers and Engineering teams to define technical requirements and solution architecture.
- Develop scalable cloud-based AI services and APIs.
- Evaluate emerging AI technologies and contribute to future product strategy.
- Support continuous improvement of AI performance, reliability and scalability.
Requirements
- Commercial experience developing AI or Machine Learning solutions.
- Strong Python development skills.
- Experience with TensorFlow, PyTorch or similar ML frameworks.
- Knowledge of Computer Vision, Robotics or Autonomous Systems.
- Experience working with cloud platforms (AWS, Azure or GCP).
- Understanding of APIs, microservices and modern software architecture.
- Experience working within Agile development environments.
- Excellent communication and stakeholder engagement skills.
Desirable
- Experience with ROS / ROS2.
- Experience with LLMs, RAG or Agentic AI architectures.
- Knowledge of reinforcement learning or motion planning.
- Familiarity with Docker, Kubernetes and CI/CD.
- MSc or PhD in Computer Science, Artificial Intelligence, Robotics or a related discipline.
Package
- £70,000-£80,000 DOE
- Annual Bonus
- Hybrid Working
- Private Healthcare
- Enhanced Pension
- Personal Learning Budget
- Clear Career Progression
- Modern Engineering Environment
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