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- Tasks: Lead a team to design and implement AI/ML solutions in financial services.
- Company: Fitch Group is a global leader in financial information, with over 100 years of experience.
- Benefits: Enjoy hybrid work, comprehensive healthcare, and generous parental leave policies.
- Why this job: Join a dynamic team recognised as a top workplace, driving impactful AI projects.
- Qualifications: 6+ years in AI/ML, leadership experience, and proficiency in Python and cloud platforms required.
- Other info: Fitch values diversity and offers paid volunteer days to give back to the community.
The predicted salary is between 48000 - 84000 ÂŁ per year.
Lead Machine Learning Engineer, Associate Director 1
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Fitch Group is currently seeking a Lead Machine Learning Engineer, Associate Director based out of our Manchester office.
As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group’s culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst.
Fitch\’s Technology & Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a “Best Place to Work in Technology” 3 years in a row. Whether you\’re an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow, innovate, and make a difference.
Want to learn more about a career in technology and data at Fitch?
Visit: The Team
The Fitch Group\’s AI Implementation Chapter is seeking a dynamic Lead Machine Learning Engineer with 6+ years of experience, including leadership and people management. This role involves designing AI/ML solutions and ensuring implementation of AI initiatives across the Fitch Ratings organization. You will manage a team of 2-3 engineers, blending hands-on technical work with leadership responsibilities, while collaborating with product squads, business partners, and cross-functional teams to integrate advanced AI solutions into flagship Fitch Ratings products and workflows.
The AI Chapter’s Team Objectives
- 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
How You’ll Make An Impact
- 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.
You May Be a Good Fit If
- 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).
What Would Make You Stand Out
- 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
Why Choose Fitch
- 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
Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch’s credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.
Fitch is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
Seniority level
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Seniority level
Director
Employment type
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Employment type
Full-time
Job function
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Job function
Information Technology
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Lead Machine Learning Engineer, Associate Director 1 employer: Fitch Group, Inc.
Contact Detail:
Fitch Group, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Machine Learning Engineer, Associate Director 1
✨Tip Number 1
Familiarise yourself with Fitch Group's core values and mission. Understanding their commitment to credibility, independence, and transparency will help you align your responses during interviews and demonstrate that you're a good cultural fit.
✨Tip Number 2
Network with current or former employees of Fitch Group on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations for the Lead Machine Learning Engineer role.
✨Tip Number 3
Stay updated on the latest trends in AI and machine learning, particularly in financial services. Being able to discuss recent advancements or case studies during your interview can showcase your passion and expertise in the field.
✨Tip Number 4
Prepare to discuss your leadership style and experience managing technical teams. Be ready to share specific examples of how you've mentored junior engineers and driven successful projects, as this is crucial for the Associate Director position.
We think you need these skills to ace Lead Machine Learning Engineer, Associate Director 1
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI and machine learning. Focus on your leadership roles, technical skills, and any projects that demonstrate your ability to deliver production-quality solutions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background aligns with Fitch Group's mission. Mention specific experiences that showcase your ability to lead teams and implement AI solutions effectively.
Showcase Technical Skills: Clearly outline your proficiency in Python, machine learning algorithms, and cloud platforms like AWS or Azure. Provide examples of how you've used these skills in past projects, especially in developing scalable AI/ML solutions.
Highlight Communication Abilities: Since the role involves collaboration with both technical and non-technical teams, emphasise your communication skills. Share instances where you've successfully translated complex concepts for diverse audiences.
How to prepare for a job interview at Fitch Group, Inc.
✨Showcase Your Leadership Skills
As a Lead Machine Learning Engineer, you'll be managing a team. Be prepared to discuss your leadership style and provide examples of how you've successfully mentored and guided teams in the past.
✨Demonstrate Technical Expertise
Fitch Group is looking for someone with extensive experience in AI/ML solutions. Brush up on your knowledge of Python, ML algorithms, and frameworks like PyTorch, and be ready to discuss specific projects where you've applied these skills.
✨Understand the Business Context
Familiarise yourself with Fitch Group's role in the financial services sector. Be ready to explain how your technical skills can drive business outcomes and improve existing products, especially in relation to credit ratings and risk insights.
✨Prepare for Collaboration Questions
Collaboration is key in this role. Think of examples where you've worked with cross-functional teams or product squads to implement AI solutions. Highlight your communication skills and ability to translate complex concepts for non-technical stakeholders.
