Machine Learning Engineer
Posted 5 days ago by Cube
Negotiable
Undetermined
Undetermined
London, England, United Kingdom
Summary: The Machine Learning Engineer at CUBE will focus on developing and enhancing NLP and AI-based products within the RegBrain team, contributing to the continuous improvement of the company's SaaS solutions. This role emphasizes cloud-based ML engineering, operational excellence, and collaboration with a diverse team of experts. The ideal candidate will have a strong background in machine learning, software engineering, and a passion for regulatory compliance technology. CUBE offers a dynamic work environment that encourages personal and professional growth.
Key Responsibilities:
- Conduct the development and productionisation of ML and NLP-based features for CUBE's products.
- Develop optimal ML & NLP solutions for RegBrain use cases, from baseline to SOTA approaches.
- Produce high quality, modular code, and deploy following established DevOps CI/CD best practices.
- Improve the efficiency, performance, and scalability of ML & NLP models.
- Stay up-to-date with ML & NLP research, and experiment with new models and techniques.
- Perform code-reviews for colleagues' code and engage to raise software engineering standards.
- Propose cloud architectures for ML-based products requiring new infrastructure.
- Participate in the monitoring and continuous improvement of existing ML systems.
Key Skills:
- Experience analyzing large volumes of textual data, particularly in NLP.
- Ability to write clear, robust, and testable code, especially in Python.
- Familiarity with SQL and NoSQL/graph databases.
- Extensive experience with ML & DL platforms, frameworks, and libraries.
- Experience with end-to-end model design and deployment within cloud environments.
- A systems thinking approach with a passion for MLOps best practices.
- Solid understanding of data structures, data modeling, and software architecture, especially cloud-based.
- A healthy sense of humour.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world of compliance for our clients. Why us? CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry-leading SaaS solutions are trusted by the worlds top financial institutions globally. In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. Were a fast-paced, high-performing team that thrives on pushing boundariescontinuously evolving our products, services, and operations. At CUBE, we dont just keep up we stay ahead. We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our make it happen culture empowers you to take ownership of your career and accelerate your personal and professional development from day one. With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success. We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting-edge technology. At CUBE, You will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance.
Role Overview As ML Engineer, RegBrain, your mission is to: Participate in the continuous improvement of RegBrains products. Develop advanced NLP and AI-based products that will delight users. Provide excellence in cloud-based ML engineering, with as much focus on Operations as Development. Expand of the Teams knowledge via demonstration and documentation.
Core Requirements Experience matters. But what is more important than raw number of years of experience is demonstrated proficiency (through GitHub profiles/online portfolios and the interview process itself). Bonus points for Stack Overflow and Kaggle contributions!
What We Are Looking For Experience analyzing large volumes of textual data (almost all of our use cases will involve NLP). Ability to write clear, robust, and testable code, especially in Python. Familiarity with SQL and NoSQL/graph databases. Extensive experience with ML & DL platforms, frameworks, and libraries. Extensive experience with end-to-end model design and deployment within cloud environments. A systems thinking approach, with passion for MLOps best practises. An engineer that can think in O(n) as much as plan the orchestration of their product. Solid understanding of data structures, data modelling, and software architecture, especially cloud-based. An engineer that can keep up with mathematically and statistically-oriented colleagues. A healthy sense of humour.
Interested? If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply. Please submit your resume detailing your relevant experience and interest in CUBE. CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.