Edge AI Engineer | Wireless Comms | Start up | Oxford / Hybrid | £70,000pa - £90,000pa: A once in a lifetime opportunity has arisen for an Edge AI Engineer to have a major impact in the development of next generation wireless communications which will revolutionise several key industries. If you really want to contribute to future technology, and AI, Data Science, or Machine Learning is your passion then this early stage, fast paced, and independently funded start up wants to hear from you. Led by an incredibly talented team of industry experts, and with strong links to the University of Oxford, they are on a mission is to enable safe and efficient communication systems which will ultimately protect our way of life. By joining them, you Edge AI Engineer 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. Edge AI Engineer 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. Edge AI Engineer 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. 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 start up wants to hear from you. Drop Lee @ MARS  a LinkedIn connection, drop him an InMail, or phone call to discuss this amazing opportunity in more detail. 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, unfortunately 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)

Machine Learning Developer (Document AI & NLP)

Duration:6-month contract (FTC/Subcon) role

Hybrid 3 days onsite

Location:Sheffield

The Role

You will design and build Python-based ML and OCR components, taking ownership of the full lifecycle-from initial requirement gathering with stakeholders to deployment and production support.

Core Responsibilities

• Model Development: Build and iterate on models for content extraction and classification.
• End-to-End Delivery: Support the full software development lifecycle (SDLC), including testing, deployment, and API resilience.
• Collaboration: Work closely with Product Managers and technical teams to translate business needs into scalable AI solutions.
• Innovation: Continuously test and improve existing features using traditional ML and Generative AI.

Technical Requirements

Mandatory Skills:

• Azure Machine Learning: Proven experience within the Azure ecosystem.
• Document AI: Strong background in Intelligent Document Processing (IDP) using both traditional and Generative AI (specifically open-source models).
• Python Expert: Deep proficiency in Python for production-level Machine Learning and NLP.

Frameworks & Tools:

• ML/DL: TensorFlow, PyTorch, or Hugging Face.
• Processing: OpenCV, Spacy, Regex, and OCR technologies.
• DevOps/Security: Experience delivering secure, resilient code and managing APIs.

Nice to Have:

• Knowledge of PostgreSQL for data management.
• Experience with Azure Kubernetes Service (AKS), Azure CLI, and Azure DevOps.
• Experience in high-cadence production environments.

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Edge AI Engineer Wireless Comms Start up Oxford / Hybrid £70,000pa - £90,000pa:

A once in a lifetime opportunity has arisen for an Edge AI Engineer to have a major impact in the development of next generation wireless communications which will revolutionise several key industries.

If you really want to contribute to future technology, and AI, Data Science, or Machine Learning is your passion then this early stage, fast paced, and independently funded start up wants to hear from you. Led by an incredibly talented team of industry experts, and with strong links to the University of Oxford, they are on a mission is to enable safe and efficient communication systems which will ultimately protect our way of life. By joining them, you Edge AI Engineer 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.

Edge AI Engineer 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.

Edge AI Engineer 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.

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 start up wants to hear from you. Drop a LinkedIn connection, drop him an InMail, or phone call to discuss this amazing opportunity in more detail.

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, unfortunately 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).