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- Tasks: Develop and deploy AI and ML solutions to enhance financial insights.
- Company: Fitch Group is a global leader in financial information services with over 100 years of experience.
- Benefits: Enjoy hybrid work, comprehensive healthcare, and continuous learning opportunities.
- Why this job: Join a dynamic team driving innovation in AI and ML within a supportive culture.
- Qualifications: 3+ years in AI/ML engineering, strong Python skills, and a relevant degree.
- Other info: Be part of a recognised 'Best Place to Work in Technology' for three consecutive years.
The predicted salary is between 36000 - 60000 ÂŁ 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.
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 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 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
- 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.
- Bachelor’s degree (master’s 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 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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Machine Learning Engineer – Search and Recommendation
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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 core values and mission. Understanding their commitment to transparency and innovation will help you align your responses during interviews, showcasing how your personal values resonate with theirs.
✨Tip Number 2
Network with current employees or alumni who work at Fitch Group. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during your application process.
✨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 interviews will demonstrate your passion and expertise in the field.
✨Tip Number 4
Prepare to discuss specific projects where you've successfully implemented machine learning solutions. Highlighting your hands-on experience with tools like Python, AWS, or Azure will show that you're ready to contribute from day one.
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 or built generative AI frameworks, as these are key aspects of the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for leveraging data and ML to drive business outcomes. Mention specific experiences that align with Fitch Group's objectives, such as collaborating with cross-functional teams or integrating AI solutions into existing workflows.
Showcase Your Technical Skills: Clearly outline your technical skills related to machine learning algorithms, cloud services (AWS and Azure), and containerization technologies. Providing examples of how you've used these skills in past roles can strengthen your application.
Highlight Soft Skills: Fitch Group values strong interpersonal skills and the ability to work in a distributed team environment. Be sure to mention any experiences that demonstrate your teamwork, communication abilities, and proactive approach to problem-solving.
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. Bring examples of projects you've worked on, especially those involving Generative AI or large-scale data workflows, as this will demonstrate your hands-on expertise.
✨Understand the Company Culture
Fitch Group values credibility, independence, and transparency. Familiarise yourself with their mission and how your role as a Machine Learning Engineer can contribute to these values. This understanding will help you align your answers with their expectations.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would approach integrating AI solutions into existing workflows or developing scalable ML solutions, and be ready to articulate your thought process.
✨Communicate Effectively
Since you'll need to collaborate with non-technical teams, practice explaining complex ML concepts in simple terms. Being able to communicate your ideas clearly will show that you can work well within cross-functional teams.
