Machine Learning Engineer

ML Engineer - Contract - Outside IR35 - Rate DOE - Cambridge onsite - 12 months As a ML Engineer you will tackle diverse, real-world challenges which are typically at the forefront of emerging AI/ML technologies. You will use your experience to design and deploy systems that apply machine learning to a broad range of tasks, often in novel settings, pulling together third-party components and building elements yourself. You will research the fundamentals of models, their architectures and each stage of the machine learning pipeline. My clients wide variety of intriguing projects often bring together aspects of science, engineering and machine learning. Projects span proof-of-concepts through to working prototypes, providing both intellectual and practical challenges. The projects will test your ability to solve problems across the machine learning development cycle: ideation; data I/O, cleaning and preparation; rapid code prototyping and feasibility testing; designing, refining, and evaluating models; and deploying and packaging code into client-ready demonstrators and products. You collaborate across disciplines and stretch your knowledge and capabilities into new areas of pioneering research and development. Requirements: • Very strong foundation in Python. • Hands-on experience with current frameworks such as Tensorflow, PyTorch and JAX. • Experience of building machine learning solutions for novel problems and/or resource-constrained situations and/or current edge-processing platforms. • Experience of a broad range of machine learning techniques (e.g. computer vision, audio reconstruction, generative models) and/or the ability to adapt to new domains rapidly. • Familiarity with GPU hardware and their associated languages (e.g. CUDA). • Experience working client facing is highly desirable. • Experience within the defence industry is highly desirable. • You must be sole British and eligible for DV clearance. • Ideally you will have active SC or DV clearance. If this role is of interest then please apply or send your CV to ollieh@lynxrecruitment.co.uk