Machine Learning Engineer

An innovative deep-tech company developing next-generation computing hardware is looking for a Machine Learning Engineer to join their growing team in West London.

This is a unique opportunity to work at the intersection of machine learning, advanced hardware design and high-performance data processing. You'll help build and optimise models that push the boundaries of AI efficiency and capability, working closely with multidisciplinary teams across software, hardware and research.

You'll play a key role in developing and refining new ML architectures, designing input/output encoding methods, and conducting rigorous benchmarking to evaluate and improve performance. This role is ideal for an engineer with a strong foundation in ML who enjoys both conceptual design and hands-on model development.

Responsibilities

• Design and optimise novel machine learning architectures for high-dimensional and visual data.
• Develop and test hybrid physical/software ML models tailored to next-generation computing platforms.
• Design and evaluate data encoding, preprocessing and postprocessing methods.
• Build tools and pipelines for performance benchmarking and model evaluation.
• Research and adapt state-of-the-art ML and computer vision techniques to new hardware paradigms.
• Collaborate cross-functionally with hardware, software and research teams.

• Strong background in machine learning algorithm development and optimisation.
• Proficiency in Python and modern ML frameworks such as PyTorch, JAX or TensorFlow.
• Experience with data modelling, preprocessing and performance benchmarking.
• Understanding of ML evaluation metrics and model analysis methods.
• Excellent communication skills and collaborative mindset.
• 3+ years' experience in ML, computer vision, data science or a related quantitative field.

• £100k+ salary depending on experience.
• Stock options and pension contributions.
• 25 days annual leave + bank holidays.
• Annual training and development budget.
• A chance to work on cutting-edge AI technology in a fast-growing deep-tech environment with strong career progression potential.