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Machine Learning Engineer jobs in Italy

Lead Machine Learning Engineer, Associate Director, London

Lead Machine Learning Engineer, Associate Director, London
Fitch Ratings
London
GBP 150,000 - 200,000
Urgently required
2 days ago
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Lead Machine Learning Engineer, Associate Director 1

Lead Machine Learning Engineer, Associate Director 1
Fitch Ratings
Manchester
GBP 80,000 - 100,000
Urgently required
2 days ago

Machine Learning Engineer - Defence Sector - Cambridge

Machine Learning Engineer - Defence Sector - Cambridge
Newton Colmore Consulting Ltd
Cambridge
GBP 50,000 - 70,000
Urgently required
2 days ago

Machine Learning Engineer - Ads Conversion Modeling

Machine Learning Engineer - Ads Conversion Modeling
reddit
London
GBP 70,000 - 90,000
Urgently required
2 days ago

Machine Learning Engineer - Operational Research

Machine Learning Engineer - Operational Research
Deliveroo
London
GBP 70,000 - 100,000
Urgently required
2 days ago
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Machine Learning Engineer - Forecasting

Machine Learning Engineer - Forecasting
Deliveroo
London
GBP 70,000 - 90,000
Urgently required
2 days ago

Machine Learning Engineer - Quantitative Trading Firm - London

Machine Learning Engineer - Quantitative Trading Firm - London
Marcus Knightley
London
Remote
GBP 70,000 - 90,000
Urgently required
Today

Machine Learning Engineer - OR

Machine Learning Engineer - OR
Deliveroo
London
GBP 70,000 - 90,000
Urgently required
2 days ago
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Machine Learning Engineer, Manchester

Machine Learning Engineer, Manchester
Fitch Ratings
Manchester
GBP 60,000 - 80,000
Urgently required
Today

Machine Learning Engineer, Manchester

Machine Learning Engineer, Manchester
Fitch Group
Manchester
GBP 60,000 - 80,000
Urgently required
2 days ago

Machine Learning Engineer

Machine Learning Engineer
White Recruitment
England
GBP 65,000 - 75,000
Urgently required
Today

Senior Machine Learning Engineer

Senior Machine Learning Engineer
UnderwriteMe Ltd
London
GBP 70,000 - 90,000
Urgently required
Today

Senior Machine Learning Engineer

Senior Machine Learning Engineer
ASOS
London
GBP 70,000 - 90,000
Urgently required
Today

Senior Performance Analysis Engineer – Machine Learning

Senior Performance Analysis Engineer – Machine Learning
arm limited
Cambridge
GBP 60,000 - 80,000
Urgently required
2 days ago

Machine Learning Engineer (Large Systems)

Machine Learning Engineer (Large Systems)
Cerebras
London
GBP 60,000 - 80,000
Urgently required
2 days ago

Machine Learning Engineer (Large Systems)

Machine Learning Engineer (Large Systems)
Cerebras
Bristol
GBP 125,000 - 150,000
Urgently required
2 days ago

Machine Learning Engineer

Machine Learning Engineer
JR United Kingdom
England
GBP 65,000 - 75,000
Urgently required
Today

Machine Learning Engineer II

Machine Learning Engineer II
Expedia, Inc.
London
GBP 60,000 - 80,000
Urgently required
2 days ago

Machine Learning Engineer/Scientist

Machine Learning Engineer/Scientist
Amentum
Derby
GBP 40,000 - 60,000
Urgently required
Today

Machine Learning Engineer, App Ads

Machine Learning Engineer, App Ads
reddit
United Kingdom
Remote
GBP 60,000 - 80,000
Urgently required
2 days ago

AI / Machine Learning Engineer (with C++ coding)

AI / Machine Learning Engineer (with C++ coding)
www.findapprenticeship.service.gov.uk - Jobboard
Guildford
GBP 65,000 - 140,000
Urgently required
2 days ago

Machine Learning Engineer, GenRecs, Personalization

Machine Learning Engineer, GenRecs, Personalization
Spotify
London
GBP 70,000 - 90,000
Urgently required
Today

Senior MLOps / Machine Learning Engineer: LLMs & Agentic AI

Senior MLOps / Machine Learning Engineer: LLMs & Agentic AI
Reply
London
GBP 70,000 - 90,000
Urgently required
2 days ago

Machine Learning Engineer

Machine Learning Engineer
Cleo
United Kingdom
GBP 55,000 - 75,000
Urgently required
3 days ago

Lead Machine Learning Engineer

Lead Machine Learning Engineer
ZipRecruiter
Cambridge
GBP 143,000 - 165,000
Urgently required
6 days ago

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Lead Machine Learning Engineer, Associate Director, London

Be among the first applicants.
Fitch Ratings
London
GBP 150,000 - 200,000
Be among the first applicants.
2 days ago
Job description

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Lead Machine Learning Engineer, Associate Director, London, London

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Client:

Fitch Ratings

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

7a7b300dd978

Job Views:

24

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 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 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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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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