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As a Senior Machine Learning Research Engineer, you will play a pivotal role in driving innovation and advancing AI-powered solutions that enhance Cambridge English products. Your expertise will contribute to the continuous improvement of existing models and the development of cutting-edge technologies that address future business needs., * Technical lead in designing full-cycle AI solutions, including data collection and pipelines for reusable analysis, and monitoring and maintenance regimes for continuous development.
* Research, develop, deploy, and maintain scalable AI-powered solutions for Cambridge English products.
* Estimate time, cost and outcomes of technical solutions, and manage risks to ensure prompt delivery.
* Collaborate with product, validation, and business teams to transform capabilities into impactful product features, while setting appropriate expectations.
* Plan work and resources, including adoption of new tools, to ensure that the machine learning team stay at the forefront of AI and machine learning trends and position Cambridge as a leader in AI-driven.
* Plan, prioritize and review work of the team to meet business objectives
* Lead on technical standards for the team, and mentor junior team members.
We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible rewards package, featuring family-friendly and planet-friendly benefits including: * 28 days annual leave plus bank holidays * Private medical and Permanent Health Insurance * Discretionary annual bonus * Group personal pension scheme * Life assurance up to 4 x annual salary * Green travel schemes
To thrive in this role, you'll have a passion for AI-driven innovation and the ability to turn ideas into scalable solutions., * Master's degree (or equivalent qualification and experience) in machine learning or AI/computer science with substantial machine learning component. * Proven hands-on industry experience (minimum 5 years, not including internships) in designing, developing, and deploying machine learning solutions in production environments. * Strong track record of successfully translating academic research into real-world applications and products. * Ability to estimate suitability of candidate ML, NLP, LLM, and GenAI technologies for specific scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt delivery * Deep experience in Python and PyTorch/TensorFlow. * Industry experience in building scalable, production-grade AI services and automated data pipelines with tools like Docker, Kubernetes, and cloud platforms (e.g., AWS). * Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross-functional projects. * Exceptional communication skills for articulating complex technical concepts to both technical and non-technical stakeholders, translating business requirements into technical solutions. * Proactiveness in communicating issues and suggesting solutions. * Stay current with state-of-the-art research and applying emerging AI techniques to solve business problems. * Ability to supervise sub-teams, lead projects, mentor junior colleagues and lead on technical standards maintenance. Desirable: * PhD degree or equivalent qualifications and experience in computer science, machine learning, artificial intelligence, or a closely related field. * Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems. * Experience in applying machine learning to educational assessment and learning solutions * Experience in leading research initiatives, contributing to patents, or publishing papers in machine learning or related AI fields.