Embedded AI Data Scientist

Version 1 is a leading technology and digital transformation partner with 29 years of industry experience, operating across 13 global locations and employing over 3,400 people. The organisation delivers large‑scale transformation and modernisation initiatives across cloud, data, AI, digital engineering, and enterprise applications, partnering closely with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, and Snowflake.

The company continues to demonstrate strong performance and growth, reporting €365M+ in revenue (2024), and maintaining impressive engagement and satisfaction measures with an 82% employee engagement score and 85% customer satisfaction score (Q2 2025).

Guided by its long‑standing Strength in Balance model, Version 1 balances its focus across Customer Success, Empowered People, and a Strong Organisation, ensuring reliable delivery, long‑term partnerships, and continuous innovation for customers across sectors such as public sector, financial services, energy & utilities, pharma, healthcare, manufacturing, logistics, travel, and retail.

With a commitment to industry best practice, exceptional delivery, and sustainable growth, Version 1 continues to be recognised for workplace excellence — including over 13 years as a Great Place to Work — and for its ability to help customers address complex challenges through technically advanced and business aligned solutions.

We're looking for a data scientist to deploy machine learning models on edge devices, wearables, and mobile robotics platforms. You'll optimise our models to run efficiently on resource-constrained hardware, focusing on minimal latency, reduced power consumption, and compact model architectures.

Key Responsibilities

• Deploy and optimise machine learning models for embedded systems and edge devices
• Implement efficient inference pipelines in Rust using any of the following Burn, Candle,tch‑rs, Rust‑BERT, nnl, rustorch, rustyml  framework
• Reduce model size and computational requirements through quantisation, pruning, and distillation
• Minimise latency in real-time systems whilst maintaining model performance
• Profile and optimise memory usage and power consumption for battery-powered devices
• Collaborate with robotics engineers to integrate ML models into hardware platforms
• Benchmark performance across different embedded processors and accelerators

Essential Requirements

• Strong data science background with practical ML model development experience
• Proficiency in Rust for systems programming and embedded applications
• Strong Python proficiency enabling quick experimentation and prototyping.
• Experience with any of: Burn, Candle, tch‑rs, Rust‑BERT, nnl, rustorch, rustyml or willingness to work extensively with Rust-native deep learning frameworks
• Experience with model optimisation techniques (quantisation, pruning, knowledge distillation)
• Understanding of embeddings and their efficient representation
• Knowledge of edge ML frameworks and deployment strategies
• Experience with robotics platforms or embedded Linux systems
• Understanding of hardware constraints (memory, compute, power)
• Experience with cloud platforms such as Azure or AWS.

Desirable Skills

• Experience with ARM processors, microcontrollers, or specialised ML accelerators
• Knowledge of ROS (Robot Operating System) or similar robotics middleware
• Familiarity with sensor fusion and real-time processing
• Experience with wearable device development
• Understanding of battery management and power-efficient computing
• Contributions to Rust ML ecosystem or embedded Rust projects

Additional Information:

• This is a full-time position.

• We offer competitive salary packages and benefits.

• Professional growth and learning opportunities will be provided.

• A positive and collaborative work environment awaits you.

If you are passionate about contributing to the exciting field of generative AI and creating innovative applications that push the boundaries of technology, we would love to hear from you.

Apply now to embark on an exciting journey as an Embedded AI Data Scientist and be part of a cutting-edge research and development and creating exceptional digital experiences for our clients. Please submit your resume and portfolio showcasing your development work.