Lead Machine Learning Engineer, Associate Director, London
- Implement AI & ML technology in collaboration with Fitch Ratings business partners and product squads
- Develop and support enterprise-level AI exploration tools and capabilities
- Provide guidance for efficient and secure development and deployment of AI
- Establish and maintain guidelines and processes for AI/ML governance
- Lead and manage a team of 2-3 machine learning engineers, balancing direct leadership with technical contributions to projects
- Oversee the design, development, and deployment of scalable AI/ML solutions, focusing on advanced generative AI frameworks, large language models, and agentic workflows
- Mentor and develop junior engineers, ensuring best practices in coding, architectural design, and project execution
- Drive projects and strategic initiatives, ensuring the integration of ML solutions into existing workflows by collaborating with product squads and business stakeholders
- Develop robust, production-quality software artifacts using Python and large-scale data workflow orchestration platforms (e.g., Airflow), while managing team resources & timelines
- Leverage expertise in cloud computing platforms (AWS and Azure) to build and optimize AI infrastructure
- Champion ML governance, ensuring adherence to guidelines, monitoring SLAs, and enhancing AI solutions' performance and reliability
- Translate complex data science and ML concepts for technical and non-technical audiences, fostering alignment across distributed teams
- Design and develop APIs (e.g. using FastAPI) for integration and deployment of ML models and solutions.
- 6+ years of professional experience as an AI/ML engineer, with a strong record of delivering production-quality solutions.
- Experience managing and mentoring technical teams, with the ability to lead people and technical strategy.
- Extensive experience in developing and integrating advanced generative AI and ML solutions into existing products and systems.
- Proficiency in Python and strong knowledge of ML algorithms, ranging from classical techniques to deep learning methods.
- Experience in training, fine-tuning, and deploying neural network models using frameworks like PyTorch.
- Expertise in containerization (e.g., Docker, Kubernetes, AWS EKS) and building scalable systems in cloud environments.
- Deep understanding of software development fundamentals, including automated testing, source version control, and code optimization.
- Excellent communication and collaboration skills, with the ability to interact effectively with both technical teams and business stakeholders.
- Bachelor's degree in machine learning, computer science, data science, applied mathematics, or a related field (Master's or higher is strongly preferred).
- A track record of successfully leading project initiatives and shaping technical strategies through effective team management.
- Familiarity with credit ratings agencies, industry regulations, and financial data products.
- Experience developing/integrating functionality for Document and Content Management Systems.
- Ability to support prototyping teams for seamless transitions from prototype to development and deployment.
- Passion for leveraging data and ML to drive meaningful business outcomes while fostering a collaborative team environment.
- Proven ability to integrate AI solutions into broader workflows and projects through cross-functional team collaboration
- Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location
- A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity
- Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals
- Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing
- Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively
- Inclusive Work Environment : A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe
- Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community
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