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Fitch Group

Lead Machine Learning Engineer (Manchester)

Manchester
Posted 27 days ago
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Principal Machine Learning or AI Engineer

The Fitch Group Emerging Technology AI Center of Excellence (COE) group is seeking a Principal Machine Learning or AI Engineer to be part of a team dedicated to build and support Generative AI, Machine Learning, Deep Learning, and Data Science solutions across the organization. The position will be based out of our London or Manchester office.

Specific Emerging Technology Team Objectives

  • Gen AI/ML technology implementation with business and product owners
  • Emerging Tech Governance function covering policies, guidelines, and processes to govern AI/ML enabled components as well as third-party AI governance
  • Lead and support other enterprise-level AI exploration tools and capabilities
  • Provide guidance and support for safe development and deployment of AI

What We Offer

  • This will be a high impact role with significant visibility where the candidate will work on some flagship Fitch products
  • The candidate will have an excellent opportunity to work in the cutting-edge field of machine learning and data science
  • Fitch promotes an excellent work culture and is known for providing a good work-life balance

We’ll Count on You To

  • Work closely/as part of the product squads to build, integrate, and deploy GenAI, multi-AI-Agents, and data science solutions. Ensure sharing best practices and learnings with other squad members.
  • Design and spearhead the development of Gen AI, AI Agents, and MLOps platforms, applications, and solutions driven by GenAI, deep learning, and machine learning to address business challenges and elevate product performance.
  • Build standards and recommendations for the AI engineering tech stack and data science models used across different enterprise AI use cases. Work closely with AI implementation, governance, and enterprise architecture squads to apply the appropriate standards.
  • Keep abreast of the latest vendors across different areas of emerging technologies and actively participate in vendor evaluations and tool assessments for relevant use cases. Where appropriate, onboard the right solutions into the platform.
  • Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch business.
  • Develop and deploy machine learning and Gen AI solutions to meet enterprise goals and support experimentation and innovation.
  • Collaborate with data scientists to identify innovative machine learning and Gen AI solutions that leverage data to meet business goals.
  • Designs and develops scalable solutions and GenAI and ML workflows that leverage machine learning, Gen AI, and deep learning models to meet enterprise requirements.
  • Actively participate in maintaining SLAs for Production applications and support. Create metrics to continuously evaluate the performance of machine learning solutions and improve the performance of existing machine learning solutions.
  • Build with AWS and Azure cloud computing services providing the necessary infrastructure, resources, and interfaces to enable data loading and LLM workflows.
  • Use Python/Java and large-scale data workflow orchestration platforms e.g. Airflow to construct software artifacts for ETL, interfacing with diverse data formats and storage technologies, and incorporate them into robust data workflows and dynamic systems.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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What You Need to Have

  • Work experience as a ML or AI engineer (5+ years)
  • Prior experience developing production quality Python is essential
  • Deep understanding of Agentic AI systems and multi-agent architectures
  • Proficiency in machine learning and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines, etc.
  • Strong adherence to software and ML development fundamentals (e.g. code quality considerations, automated testing, source version control, optimization)
  • Prior experience working on building Gen AI frameworks and leveraging and/or fine-tuning LLM’s.
  • Experience building/enhancing search and information retrieval systems
  • Exposure/experience in containerization technologies like Docker, Kubernetes, AWS EKS, etc.
  • Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock, AWS S3, AWS Sagemaker, Azure AI search, Azure OpenAI, Azure blob storage, etc.
  • Master's degree or above in Machine learning/data science, computer science, applied mathematics, or otherwise research-based field

What Would Make You Stand Out

  • Passionate about the power of data and predictive analytics to drive better business outcomes for customers
  • Proven ability to work effectively in a distributed working environment and ability to work efficiently and productively in a fast-paced environment
  • Familiarity with credit ratings agencies, regulations, and data products around the world
  • Outstanding written and verbal communication skills
  • A champion of good code quality and architectural practices.
  • Strong interpersonal skills and ability to work proactively and as a team player

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Why Fitch?

At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network of colleagues comes together to accomplish things greater than they ever could alone.

Every team member is essential to our business and each perspective is critical to our success. We embrace a diverse culture that encourages a free exchange of ideas, guaranteeing your voice will be heard and your work will have an impact, regardless of seniority.

We are building incredible things at Fitch and we invite you to join us on our journey.

For more information please visit our websites:

www.fitchratings.com | www.fitchsolutions.com | www.fitchlearning.com | www.CreditSights.com

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 Group 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.

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Skills

Generative AI
Machine Learning
Deep Learning
Python
Java
MLOps
Agentic AI
NLP
AWS
Azure
Docker
Kubernetes
Airflow
ETL
Data Science
Neural Networks

Location

Manchester, England, United Kingdom

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