Applied Machine Learning Engineer

Applied Machine Learning Engineer Overview

An innovative deep-tech company specializing in next-generation computing technology is seeking an experienced Applied Machine Learning Engineer to join their team in England. This role focuses on constructing simulation environments, frameworks, and tools that are essential for shaping future computing systems. The company develops advanced hardware and software solutions aimed at accelerating demanding workloads in artificial intelligence, cryptography, and high-performance computing, making this a high-impact opportunity for professionals passionate about pushing technological boundaries.

Key Responsibilities

• Design and develop sophisticated simulation environments, frameworks, and tools that support the evolution of computing technology.
• Build and optimize simulation systems that accurately model hardware components such as system-on-chip (SoC) and memory architectures.
• Work closely with hardware and software teams to ensure simulation environments effectively support performance analysis and validation activities.
• Create detailed technical documentation, including specifications, test plans, and validation reports to facilitate reproducibility and clarity.
• Participate in testing, validation, and verification processes to ensure simulation models are reliable and precise.
• Contribute to the development of workloads related to AI, high-performance computing, or cryptography, which are considered advantageous but not mandatory.
• Continuously improve simulation tools and frameworks to adapt to evolving hardware and software innovations.

Candidate Requirements

• At least ten years of professional experience with Python and/or C++ programming.
• Proven track record in designing and implementing simulation systems and developer frameworks.
• Strong knowledge of event-driven simulation platforms such as SimPy or similar tools.
• Deep understanding of SoC and memory architecture design principles.
• Experience with software testing, validation, and verification methodologies.
• Ability to produce comprehensive technical specifications, test plans, and documentation.
• Familiarity with workloads in AI, HPC, or cryptography is a plus.
• Experience with Rust, CI/CD pipelines, Jenkins, Git, or performance analysis tools is desirable.

Benefits and Perks

• Opportunity to have significant ownership and influence over complex system architectures.
• Exposure to both hardware and software aspects of cutting-edge technology stacks.
• Remote working arrangement within the UK, offering flexible working hours.
• Competitive salary complemented by bonuses, pension schemes, and healthcare benefits.

This position offers an exciting chance to contribute to pioneering projects in the field of computing technology, working remotely from the UK with a flexible schedule. Interested candidates are encouraged to contact Chris Amison for more details and to apply.

Degree Requirement: Not Specified

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