As a Senior Machine Learning Scientist you are a subject-matter expert in the theory behind one or more of the following areas of machine intelligence: NLP/Computer Vision, and their implementation as end-to-end products that generate direct business impact. You define the strategy and vision for how to generate outsized impact through automated intelligence for a product by driving a research agenda and development plan from ideation to prototyping to full productionisation.
Tasks & Responsibilities
Develop the strategy and research plan for machine intelligence on a product family by designing innovative ML/AI models, algorithms, and approaches that deliver both short-term commercial impact and longer-term differentiated business value and customer experiences.
Document and share the findings, and generalise these technologies into reusable frameworks.
Translate broad business problems into ML/AI challenges and identify the best approach within the constraints of the production environment.
Independently define and build proof-of-concepts to test new ideas and demonstrate their potential value to relevant stakeholders.
Drive the end-to-end execution of the ML/AI development process on products, from understanding product requirements, data discovery, model development and evaluation, to implementation of a full production pipeline for both batch and stream-based deployment.
Develop production-grade machine learning code, from models to features and pipelines, allowing for scalability, realtime, monitoring and retraining.
Monitor product health, performance and business impact and act accordingly when requirements are not met.
Build readable and reusable code, choosing the right technologies, coding methodologies, and approach from carefully designed rapid prototyping to software deployment at scale.
Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of ML/AI disciplines and related fields. Coach others through evidence and clear communication, explaining advanced technical concepts in simpler terms.
Identify underlying issues and opportunities across domains and situations through application of structured thinking and logic, and drive concrete improvements. Guide and support colleagues dealing with complex scenarios.
Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies, introducing them to the machine learning community and promoting their application in areas where they can generate impact.
Actively contribute to Machine Learning at through training, exploration of new technologies, interviewing, onboarding and mentoring colleagues.
Push for improvements, scaling and extending machine learning tooling and infrastructure, collaborating with central teams.
Strong subject matter expertise in one or more of the following areas of ML/AI (Natural Language Processing/Understanding, Computer Vision).
Ability to design an applied research plan for a product family from scratch as evidenced by peer-review publication or similar track record.
Strong relevant work or academic experience (MSc + 5 years of working experience, or PhD + 2 years), involved in the development and application of Machine Learning.
Masters degree, PhD or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Artificial Intelligence, Physics, etc).
Experience on multiple machine learning facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development.
Experience collaborating cross functionally in the development of machine learning products (e.g. Developers, UX specialists, Product Managers, etc).
Strong working knowledge of Python, Hadoop, SQL, Spark or similar big data technologies.
Excellent English communication skills, both written and verbal.