National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Lead Machine Learning Engineer, Associate Director, London

Fitch Group
London
1 week ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Artificial Intelligence Engineer - Agentic bioimage data platform

Senior Data Scientist (Viator)...

Data Scientist

Data Science Manager - Remote

Data Science Manager - Remote

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.

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 (e.g., 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 (e.g. 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 (e.g., 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 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 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.

#LI-Hybrid

#LI-Group

#LI-JO
#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.