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- Tasks: Develop and support AI and ML solutions for Fitch Ratings, collaborating with product squads.
- Company: Fitch Group is a global leader in financial information services, promoting transparency in markets.
- Benefits: Enjoy hybrid work, comprehensive healthcare, tuition reimbursement, and generous parental leave.
- Why this job: Join a dynamic team driving innovation in AI, with opportunities for growth and impact.
- Qualifications: 3+ years in AI/ML engineering, strong Python skills, and experience with cloud services required.
- Other info: Recognised as a Best Place to Work in Technology for three consecutive years.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Machine Learning Engineer, London role at Fitch Group, Inc.
Join to apply for the Machine Learning Engineer, London role at Fitch Group, Inc.
Fitch Group is currently seeking a Machine Learning Engineer based out of our London office.
A variety of soft skills and experience may be required for the following role Please ensure you check the overview below carefully.
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 Groups culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the worlds 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, were 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 Groups AI Implementation Chapter is seeking a Machine Learning Engineer to be part of a team dedicated to building and supporting Generative AI, Machine Learning (ML) and Data Science solutions across the Fitch Ratings organization. This position could be based out of our Chicago, London, or Manchester offices.
The AI Chapters 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 Youll Make An Impact
- Work closely with or as part of product squads to build, integrate, and deploy AI and ML solutions, sharing best practices and learnings with other squad members.
- Effectively communicate data science & ML concepts to stakeholders, focusing on applicability to Fitch use cases
- Collaborate in developing and deploying ML & Gen AI solutions to meet enterprise goals and support innovation and experimentation.
- Collaborate with data scientists to identify innovative solutions that leverage data to meet business objectives.
- Develop, in collaboration with senior engineers, scalable solutions and workflows that leverage ML & Gen AI to meet enterprise requirements.
- Support production applications by helping maintain SLAs, using metrics to evaluate and guide the improvement of existing ML solutions
- Use AWS and Azure cloud services to provide the necessary infrastructure, resources, and interfaces for data loading and LLM workflows.
- Use Python and large-scale data workflow orchestration platforms (e.g. Airflow) to build software artifacts for ETL, integrating diverse data formats and storage technologies, and incorporate them into robust data workflows and dynamic systems
You May Be a Good Fit If
- 3+ years of work experience as an AI/ML engineer
- Experience developing production quality Python code
- Strong adherence to software and ML development fundamentals (e.g., code quality considerations, automated testing, source version control, optimization)
- Experience in integrating AI solutions into existing workflows
- Experience building Generative AI frameworks, leveraging and/or finetuning LLMs. (experience building agentic workflows strongly preferred)
- Experience building/enhancing search and information retrieval systems
- Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc.
- Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred)
- Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g., AWS Bedrock, S3, SageMaker; Azure AI Search, OpenAI, blob storage, etc.
- Bachelors degree (masters or higher strongly preferred) in machine learning, computer science, data science, applied mathematics or related technical field
What Would Make You Stand Out
- Experience developing/integrating functionality for/in Document Management Systems and content management systems
- Experience supporting prototyping teams to enable seamless transition from prototype to development and deployment
- Experience building agentic workflows powered by language models
- Passion for using data and ML to drive better business outcomes for customers
- Strong interpersonal skills and ability to work proactively as a team player
- Proven ability to work effectively in a distributed team environment and efficiency in fastpaced settings
- Proven ability to collaborate with non-AI/ML teams to integrate AI solutions into broader workflows and projects.
- Experience working with cross-functional teams.
- Familiarity with credit ratings agencies, regulations, and data products
- Excellent written and verbal communication skills
- Advocate of good code quality and architectural practices
- Experience working in Java and/or JavaScript codebases
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 Fitchs 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.
Seniority level
- Seniority levelMid-Senior level
Employment type
- Employment typeFull-time
Job function
- Job functionInformation Technology
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Machine Learning Engineer, London (London) employer: Fitch Group, Inc.
Contact Detail:
Fitch Group, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer, London (London)
✨Tip Number 1
Familiarise yourself with Fitch Group's culture and values. Understanding their commitment to credibility, independence, and transparency will help you align your responses during interviews and demonstrate that you're a good fit for their team.
✨Tip Number 2
Brush up on your knowledge of AI and ML technologies, especially those mentioned in the job description like AWS and Azure. Being able to discuss specific tools and frameworks you've used will show your technical expertise and readiness for the role.
✨Tip Number 3
Prepare examples of past projects where you've successfully integrated AI solutions into existing workflows. This will not only showcase your experience but also highlight your ability to collaborate with cross-functional teams, which is crucial for this position.
✨Tip Number 4
Network with current or former employees of Fitch Group on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and the specifics of the Machine Learning Engineer role, giving you an edge in your application.
We think you need these skills to ace Machine Learning Engineer, London (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and AI. Focus on projects where you've developed production-quality Python code and integrated AI solutions into existing workflows.
Craft a Compelling Cover Letter: In your cover letter, express your passion for using data and ML to drive business outcomes. Mention specific experiences that align with Fitch Group's objectives, such as building Generative AI frameworks or collaborating with cross-functional teams.
Showcase Your Technical Skills: Clearly outline your proficiency in ML algorithms, cloud services (AWS and Azure), and containerization technologies. Provide examples of how you've applied these skills in previous roles to demonstrate your capability.
Prepare for the Interview: Anticipate questions about your experience with AI/ML projects and your ability to communicate complex concepts to non-technical stakeholders. Be ready to discuss how you can contribute to Fitch Group's innovative environment.
How to prepare for a job interview at Fitch Group, Inc.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and machine learning algorithms in detail. Highlight specific projects where you've implemented AI solutions, especially those that align with Fitch Group's focus on Generative AI and data science.
✨Communicate Clearly
Since the role involves collaborating with non-technical stakeholders, practice explaining complex ML concepts in simple terms. This will demonstrate your ability to bridge the gap between technical and non-technical teams.
✨Demonstrate Team Collaboration
Fitch values teamwork, so be ready to share examples of how you've worked effectively in cross-functional teams. Discuss any experiences where you supported prototyping teams or integrated AI solutions into broader workflows.
✨Research Fitch Group
Understand Fitch Group's mission, values, and recent developments in AI and ML. Being knowledgeable about their culture and objectives will show your genuine interest in the company and help you tailor your responses during the interview.
