Machine Learning Researcher Permanent


Machine Learning Researcher - Personalised ML

Contract Type: Permanent

Job Location: Staines-upon-Thames, Surrey, UK.

Hybrid Working: Typical working week will be 3 days working from the office and 2 days working from home.

Job Description

As a Machine Learning Researcher, you will be diving into the future of the tech and consumer industry our client's R&D HQ in Surrey. The team undertakes projects involving the application of cutting-edge research into proof-of-concept and commercial products for devices and services. The candidate will contribute to software development and research of new functionalities or enhancing current pipelines on their flagship mobile devices.

Role and Responsibilities

As a Research Software Engineer, you will:

Perform software engineering and development activities including requirements analysis, design, implementation, testing, deployment, and code maintenance.

Understand and address software engineering questions that arise in research planning.

Maintain knowledge of current and future software development tools and techniques for machine learning and AI research.

Develop novel methods to improve on-device system performance, model size and accuracy.

Develop and deploy state-of-the-art solutions for real-world large-scale AI problems with commercialization goals on devices.

Have technical responsibility for one or more significant sections of the assigned research project.

Translate complex functional and technical requirements into detailed design.

Required Skills

MSc/PhD degree in Artificial Intelligence, Computer Science/Engineering, Electronics, Mathematics, or related disciplines (an equivalent period of industrial experience may be substituted).

Demonstrated success:

oProfessional software development experience with C++/ Python is required.

oConsistently using conventional and readable coding style.

oPerforming test-driven development.

oCreating comprehensive and well-written documentation.

oParticipating in regular code reviews.

oDeveloping and maintaining reproducible build systems.

oFamiliarity with software engineering practices and tools such as Git, CI, Agile, etc.

Excellent knowledge of fundamentals of machine learning and deep-learning concepts such as deep neural networks and personalisation is required.

A proven track record in AI model development and deployment (on embedded devices is a plus).

Experience with programming using machine learning frameworks (strong experience in Tensorflow is a plus).

Good familiarity with relevant python libraries (such as NumPy) and tools (such as TensorBoard).

Excellent communication, teamwork, and a results-oriented attitude.

Proficiency in problem solving and debugging.

Desirable Skills

Research and development expertise of speech processing, and language modelling (e.g., speech recognition, NLP/NLU etc.)

Expertise in deploying AI on Android.

Publications in top ML/AI conferences (e.g., ICML, NeurIPS, Interspeech, SysML or similar).

Contribution to open-source ML frameworks such as -TensorFlow, TensorFlow Lite, etc.

East London, England, UK