Wave is currently representing a leading global embedded business finance provider, as we seek a Senior Machine Learning Engineer to join their team on a permanent basis!
Location: West London
Salary: Up to £100,000 + 15% Bonus
Our client is experiencing an exhilarating phase of expansion, poised to construct composable, modular technology platforms aimed at bridging the global SME funding gap.
Who the senior ML engineer should be:
We seek an AI expert with a robust scientific background and scalable production-level engineering skills.
The ideal candidate will have spearheaded AI projects, implemented suitable workflows and tooling, and possess a framework for evaluating value versus effort versus confidence. Collaboration with product and business teams to contribute strategically towards organizational KPIs is key. Adaptability in addressing business challenges in their early stages is essential, prioritizing collaboration and adaptability over rigid planning.
Responsibilities:
* Maintain a repository of AI use cases, requirements, potential impact, and success rates.
* Collaborate with product/domain teams to craft an integrated delivery roadmap.
* Develop prototypes and experiments aimed at producing efficient, production-ready software.
* Lead technical projects with significant business impact.
* Develop and implement internal and external tools to enhance team productivity.
* Create demos, documentation, and training materials to enhance proficiency among internal and external stakeholders.
Skills and Experience:
* Proficient in project management, with a track record of timely project delivery.
* Strong programming, statistics, mathematics, and ML algorithm fundamentals, with Python expertise.
* Familiarity with ML/DS frameworks (e.g., XGBoost, Scikit-learn) and modern OOP practices.
* Proficient in development best practices and version control (e.g., Git).
* Knowledgeable in memory, disk I/O, and CPU/GPU management.
* Experience with modern ML/Data/Cloud engineering stacks.
* Detail-oriented with excellent communication and collaboration skills.
* Experience mentoring junior team members.
Desirable:
* Experience with Google Cloud, Vertex AI, Big Query, and Airflow.
* Track record of delivering successful risk models.
* Strong business acumen and ability to solve complex business problems.
Join us in shaping the future of embedded business finance with cutting-edge machine learning technologies!