Machine Learning Engineer, Manchester
Machine Learning Engineer, Manchester

Machine Learning Engineer, Manchester

Manchester Full-Time 36000 - 60000 ÂŁ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join our team to build and support AI and ML solutions that drive innovation.
  • Company: Fitch Group is a global leader in financial information, delivering insights for over 100 years.
  • Benefits: Enjoy hybrid work, comprehensive healthcare, tuition reimbursement, and generous parental leave.
  • Why this job: Be part of a dynamic team recognised as a top tech workplace, making a real impact.
  • Qualifications: 3+ years in AI/ML engineering; strong coding skills and experience with cloud services required.
  • Other info: Work in a collaborative environment with opportunities for continuous learning and community involvement.

The predicted salary is between 36000 - 60000 ÂŁ per year.

Social network you want to login/join with:

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Client:

Fitch Ratings

Location:

Manchester, United Kingdom

Job Category:

Other

EU work permit required:

Yes

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Job Reference:

2c03a734e1ae

Job Views:

11

Posted:

13.08.2025

Expiry Date:

27.09.2025

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Job Description:

Fitch Group is currently seeking a Machine Learning Engineer 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 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 ( 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
  • Strong adherence to software and ML development fundamentals (, 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 , 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

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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Machine Learning Engineer, Manchester employer: Fitch Ratings

Fitch Group is an exceptional employer, offering a dynamic and innovative work environment in Manchester where Machine Learning Engineers can thrive. With a strong commitment to employee growth through dedicated training and mentorship programs, as well as a hybrid work model that promotes work-life balance, Fitch fosters a culture of inclusivity and collaboration. Employees benefit from comprehensive healthcare offerings, generous parental leave policies, and opportunities to engage in community service, making it a truly rewarding place to build a meaningful career.
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Contact Detail:

Fitch Ratings Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Machine Learning Engineer, Manchester

✨Tip Number 1

Familiarise yourself with Fitch Group's mission and values. 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 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 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 your interview can demonstrate your passion and expertise in the field.

✨Tip Number 4

Prepare to discuss specific projects where you've successfully integrated AI solutions into existing workflows. Highlighting your hands-on experience will show that you can contribute effectively to Fitch's objectives right from the start.

We think you need these skills to ace Machine Learning Engineer, Manchester

Machine Learning Algorithms
Generative AI Frameworks
Python Programming
Data Workflow Orchestration (Airflow)
Cloud Computing (AWS and Azure)
Containerization Technologies (Docker, Kubernetes)
Software Development Fundamentals
Automated Testing
Source Version Control
Multi-class Classification
Decision Trees
Support Vector Machines
Neural Networks (Deep Learning)
Data Integration Techniques
Communication Skills
Collaboration with Cross-functional Teams

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Machine Learning Engineer role at Fitch Ratings. Focus on your experience with AI, ML, and any specific technologies mentioned in the job description.

Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also demonstrates your passion for leveraging technology to drive business outcomes. Mention specific projects or experiences that relate to the responsibilities outlined in the job description.

Highlight Relevant Projects: Include details about any projects you've worked on that involved machine learning, generative AI, or data science. Be specific about your role, the technologies used, and the impact of the project.

Showcase Soft Skills: Fitch Ratings values strong interpersonal skills and teamwork. In your application, mention instances where you collaborated with cross-functional teams or communicated complex concepts to non-technical stakeholders.

How to prepare for a job interview at Fitch Ratings

✨Understand the Company Culture

Before your interview, take some time to research Fitch Group's culture and values. They pride themselves on credibility, independence, and transparency, so be prepared to discuss how your personal values align with theirs.

✨Showcase Your Technical Skills

As a Machine Learning Engineer, you'll need to demonstrate your proficiency in ML algorithms and cloud services like AWS and Azure. Be ready to discuss specific projects where you've applied these skills, and consider bringing examples of your work.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving abilities and how you handle real-world challenges. Think about past experiences where you've successfully integrated AI solutions into existing workflows or collaborated with cross-functional teams.

✨Communicate Clearly and Effectively

Since you'll be working closely with non-technical stakeholders, it's crucial to convey complex data science concepts in an understandable way. Practice explaining your previous projects in simple terms to ensure clarity during the interview.

Machine Learning Engineer, Manchester
Fitch Ratings
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  • Machine Learning Engineer, Manchester

    Manchester
    Full-Time
    36000 - 60000 ÂŁ / year (est.)

    Application deadline: 2027-08-18

  • F

    Fitch Ratings

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