Edge AI Engineer

Mars Recruitment; Oxford; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A technology recruitment firm seeks an experienced Edge AI Engineer for a wireless communications startup in Oxford. You will develop next-generation secure communication systems and work closely with a talented team. Ideal candidates hold an advanced degree and possess strong skills in Python, machine learning, and deep neural networks. This position offers a competitive salary between £70,000 and £90,000, alongside the opportunity to contribute to meaningful projects in UK Defence and Security.

Qualifications

• Master's or Ph.D. (or equivalent experience) in Data Science, Machine Learning, Artificial Intelligence, or a related field.
• Strong proficiency in Python with practical experience of PyTorch or TensorFlow.
• Working knowledge of implementing and optimising deep neural networks (e.g., CNNs, Transformers, GNNs).

Responsibilities

• Designing and optimising ML models for secure communications.
• Implementing high-performance deep learning pipelines on hardware accelerators.
• Collaborating with embedded and security engineers to ensure AI performance aligns with real-world system constraints.

Skills

Machine Learning

Python

Deep Neural Networks

C/C++

Model Robustness

Education

Master's or Ph.D. in Data Science, Machine Learning, or AI

Tools

PyTorch

TensorFlow

Git

Linux

Job description

Edge AI Engineer – Wireless Communications Startup, Oxford / Hybrid

Edge AI Engineer to have a major impact in the development of next generation wireless communications, led by an incredibly talented team of industry experts with strong links to the University of Oxford. This early stage, fast paced, and independently funded startup aims to enable safe and efficient communication systems to protect our way of life. Compensation: £70,000pa - £90,000pa.

Overview

By joining the team, you will create a substantial impact by developing critical technology that will save lives and ensure our society remains safe in an ever-changing world.

Key responsibilities

• Designing and optimising ML models to enhance secure communications and signal processing on a range of edge devices.
• Implementing low-latency, high-performance deep learning pipelines on hardware accelerators such as FPGA, TPU, and ASICs.
• Optimising CNN, Transformer, RNN, and/or GNN architectures for deployment on low-power embedded systems.
• Apply quantisation, pruning, distillation, and model compression to enhance efficiency.
• Strengthening model robustness against adversarial attacks and system-level security threats.
• Collaborating with embedded and security engineers to align AI performance with real-world system constraints.

Essential experience & skills

• Master's or Ph.D. (or equivalent experience) in Data Science, Machine Learning, Artificial Intelligence, or a related field.
• Strong proficiency in Python with practical experience of PyTorch or TensorFlow.
• Working knowledge of implementing and optimising deep neural networks (e.g. CNNs, Transformers, GNNs).
• Hands-on experience with embedded C/C++ for model integration with an understanding of low-latency and low-power constraints in real-time systems.
• Awareness of adversarial ML and model robustness techniques.
• Understanding of secure-by-design principles and trusted execution concepts for AI on edge devices.
• Keenness to work on meaningful problems within the context of UK Defence and Security.

Desirable experience & skills

• 5+ years of experience in AI/ML systems development.
• Understanding of training-inference workflows, including data preprocessing, model evaluation and benchmarking.
• Familiarity with hardware accelerators (FPGA, TPU, ASIC, GPU-based inference).
• Experience with model optimisation techniques: quantisation, pruning, knowledge distillation and model compression.
• Proficient with Git, CI/CD and Linux-based development environments.
• Ability to document and test code for reproducibility and maintenance.

How to apply

If you have experience working on Edge AI and you have a deep passion for AI, Data Science and Machine Learning, then our wireless communications startup wants to hear from you. Drop a LinkedIn connection, drop him an InMail, or phone call to discuss this amazing opportunity in more detail.

Equality, diversity and recruitment information

MARS Recruitment is an equal opportunities employer and positively welcomes applications from suitably qualified applicants regardless of race, colour, sex, marital status, national origin, religion, age, disability, or any other protected status. Suitable candidates for the role will be contacted within 3 working days; if you haven’t heard back in this time your application has been unsuccessful at this time.

MARS Recruitment is a specialist Engineering & IT recruiter working in partnership with companies across the UK and offers services of both an Employment Business (for Temporary/Contract roles) and an Employment Agency (for Permanent roles).