Lead machine learning engineer (manchester) Work, Jobs in Congleton, Chs (with Salaries)

Lead Machine Learning Engineer (Manchester)
Fitch Group —Manchester
- Azure
- Java
- Master's degree
Lead Data Engineer
Northrop Grumman —Manchester
- £60,000 - £86,000 a year
- Hybrid work
- SQL
- AWS
- Travel
- Relocation assistance
Agile Research Delivery Team Manager
Manchester University NHS Foundation Trust —Manchester
- £49,387 - £56,515 a year
- Full-time
- University
- Driving
- AI
1d
Lead DevOps Engineer
eTaj Engineering Solutions —Manchester
- £40,000 - £70,000 a year
- Full-time
- Azure
- DevOps
- Java
Quick apply
7d
AI Governance Operational Lead
Code First Girls —Manchester
- Full-time
- Hybrid work
- DevOps
- Java
- JavaScript
Quick apply
10d
Data Platform & Analytics Lead (Microsoft Fabric / AI Enablement)
BCN Group —Manchester
- Full-time
- Hybrid work
- Azure
- Management
- Machine learning
- Annual leave
- Employee assistance programme
Quick apply
13d
Data Quality Assurance Team Leader
Manchester University NHS Foundation Trust —Wythenshawe
- £32,073 - £39,043 a year
- Full-time
- Microsoft Excel
- University
- AI
7d
Lead Software Engineer
Informed Solutions —Altrincham
- Full-time
- Hybrid work
- Azure
- Java
- AWS
- Gym membership
- Referral programme
Quick apply
Information Security Lead - Vulnerability Management
Starling —Manchester
- Full-time
- Hybrid work
- SQL
- AWS
- Leadership
- Annual leave
- Employee discount
Quick apply
Lead Technical Expert: Clinical Radiation
Health Research Authority —Manchester
- £113,565 - £150,569 a year
- Part-time
- Hybrid work
- AI
- Leadership
5d
Application Engineering Lead (Java, Python, Angular, Microservic- Manchester, UK - Fulltime - Hybrid
Capgemini —Manchester
- Hybrid work
- Java
- SQL
- AWS
Vice President, AI Governance Operational Lead - AI Hub
The Bank of New York Mellon Corporation —Manchester
- Full-time
- Bachelor's degree
- Communication skills
Associate Commercial Lead
MI5 - The Security Service —Manchester
- £56,962 a year
- Part-time
- Management
- Presentation skills
- Travel
- Annual leave
- Work from home
8d
Lead Content Creator
BWP Group —Manchester
- £32,000 - £35,000 a year
- Full-time
- Hybrid work
- In-person
- AI
- Communication skills
- Health & wellbeing programme
- Annual leave
Quick apply
Lead Software Engineer - (Frontend, Backend, Full Stack)
Accenture —Manchester
- Full-time
- Azure
- Java
- AWS
Lead Risk Analyst - Model Validation
Starling —Manchester
- Hybrid work
- SQL
- No degree
- AI
- Annual leave
- Employee discount
Quick apply
5d
Service Centre Team Manager
EXL Service —Manchester
- Full-time
- Management
- Customer service
- Supervising experience
- Employee stock purchase plan
NatWest Markets Business Risk Insights Lead
National Westminster Bank PLC —Manchester
- £73,240 - £109,860 a year
- Full-time
- Hybrid work
- AWS
- AI
- Communication skills
- Annual leave
1d

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Lead Machine Learning Engineer (Manchester)

Fitch Group -
Manchester

Apply Now

Job details

Qualifications

Azure
Law
Kubernetes
Test automation
Java
Master's degree
AWS
Docker
Machine learning
Deep learning
Natural language processing
Cloud computing
S3
AI
Communication skills
Python

Full job description

Requisition ID: 50010

Business Unit: Fitch Group

Category: Information Technology

Location: Manchester, GB

Date Posted: Jun 12, 2026

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 that will be 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 are:

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

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 and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines,
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 finetuning 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

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

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 interests 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.

#LI-KN1 #LI-HYBRID #LI-GROUP

Apply Now

Refine Your Search

lead machine learning engineer (manchester) jobs in congleton, chs

Lead Machine Learning Engineer (Manchester)

Lead Data Engineer

Agile Research Delivery Team Manager

Lead DevOps Engineer

AI Governance Operational Lead

Data Platform & Analytics Lead (Microsoft Fabric / AI Enablement)

Data Quality Assurance Team Leader

Lead Software Engineer

Information Security Lead - Vulnerability Management

Lead Technical Expert: Clinical Radiation

Application Engineering Lead (Java, Python, Angular, Microservic- Manchester, UK - Fulltime - Hybrid

Vice President, AI Governance Operational Lead - AI Hub

Associate Commercial Lead

Lead Content Creator

Lead Software Engineer - (Frontend, Backend, Full Stack)

Lead Risk Analyst - Model Validation

Service Centre Team Manager

NatWest Markets Business Risk Insights Lead

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