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- Tasks: Lead a team to design and implement cutting-edge AI/ML solutions.
- Company: Join Fitch Group, a global leader in financial information services with over 100 years of experience.
- Benefits: Enjoy hybrid work, comprehensive healthcare, and generous parental leave policies.
- Why this job: Make an impact in a dynamic tech environment while growing your career in AI and machine learning.
- Qualifications: 6+ years in AI/ML engineering, leadership experience, and proficiency in Python required.
- Other info: Fitch promotes a culture of learning, collaboration, and community involvement.
The predicted salary is between 43200 - 72000 ÂŁ per year.
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Lead Machine Learning Engineer, Associate Director 1, Manchester
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Client:
Fitch Ratings
Location:
Manchester, United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Reference:
5a9c7337e3e2
Job Views:
20
Posted:
12.08.2025
Expiry Date:
26.09.2025
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Job Description:
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:
About 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 (, 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 ( 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 (, 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 workplacewhere all voices are valued, withEmployee 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 evaluatequalified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
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Lead Machine Learning Engineer, Associate Director 1 employer: Fitch Ratings
Contact Detail:
Fitch Ratings 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 transparency and innovation will help you align your responses during interviews, showcasing how your experience in AI/ML can contribute to their goals.
✨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, which you can leverage in your discussions.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented AI/ML solutions. Be ready to explain your role, the challenges faced, and the impact of your work, as this will demonstrate your hands-on experience and leadership capabilities.
✨Tip Number 4
Stay updated on the latest trends in AI and machine learning, particularly in financial services. Being able to discuss recent advancements or case studies relevant to Fitch's operations will show your passion for the field and your proactive approach to learning.
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 machine learning and leadership. Focus on specific projects where you've implemented AI/ML solutions, and quantify your achievements to demonstrate impact.
Craft a Compelling Cover Letter: Write a cover letter that connects your skills and experiences directly to the job description. Emphasise your leadership abilities and your passion for AI technologies, and explain why you want to work at Fitch Ratings.
Showcase Technical Skills: In your application, clearly outline your technical skills, especially in Python, cloud platforms (AWS, Azure), and ML frameworks like PyTorch. Mention any experience with containerization tools such as Docker and Kubernetes.
Highlight Team Management Experience: Since this role involves managing a team, be sure to include examples of your leadership experience. Discuss how you've mentored junior engineers and led projects, showcasing your ability to balance technical and managerial responsibilities.
How to prepare for a job interview at Fitch Ratings
✨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 led teams in the past. Highlight any mentoring experiences and how you foster collaboration among team members.
✨Demonstrate Technical Expertise
Fitch is looking for someone with extensive experience in AI/ML solutions. Be ready to discuss specific projects where you've implemented generative AI or large language models. Prepare to explain your technical decisions and the impact they had on the project outcomes.
✨Communicate Clearly with Non-Technical Stakeholders
You'll need to translate complex ML concepts for both technical and non-technical audiences. Practice explaining your work in simple terms, focusing on how your solutions can drive business outcomes. This will show your ability to bridge the gap between tech and business.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and decision-making process. Think of scenarios where you've faced challenges in AI implementation or team management, and be ready to discuss how you approached these situations and what you learned from them.
