Ai engineering lead Work, Jobs in Manchester, Eng (with Salaries)

AI Engineering Lead
National Westminster Bank PLC —Manchester
- £38,123 - £53,820 a year
- Full-time
- Hybrid work
- Machine learning
- AI
- Leadership
- Annual leave
2d
Technical Lead, AI Engineering
Anaplan —Manchester
- Master's degree
- Project management
- Continuous improvement
Quick apply
10d
Lead Automation & Integration Engineer
Power Resources International Ltd —Manchester
- £32,120.33 - £65,906.19 a year
- Full-time
- Master's degree
- JavaScript
- Mentoring
Quick apply
IT Technical Architect - AI and Automation Lead
Amentum —Risley
- Full-time
- Azure
- Project management
- AI
- Employee assistance programme
- Flexible schedule
Data/AI Engineer, Engineering AI & Data, AI & Data Solutions
Deloitte —Manchester
- Hybrid work
- SQL
- Analysis skills
- Machine learning
Technical Business Analyst, Engineering AI & Data, AI & Data Solutions
Deloitte —Manchester
- Hybrid work
- SQL
- Analysis skills
- Agile
Senior Manager, Data Solution Architect, SG&A, Engineering, AI & Data, Technology & Transformation
Deloitte —Manchester
- Hybrid work
- Mentoring
- IT
- AI
Senior Data/AI Engineer - Manager, Engineering AI & Data, AI & Data Solutions
Deloitte —Manchester
- Hybrid work
- SQL
- Analysis skills
- Machine learning
Data Science & AI Lead
National Westminster Bank PLC —Manchester
- Full-time
- Hybrid work
- Master's degree
- Machine learning
- AI
- Annual leave
2d
Responsible AI Lead
Lloyds Banking Group —Manchester
- £90,440 - £110,000 a year
- Full-time
- Hybrid work
- Azure
- Java
- Master's degree
Manager, Data Engineering Architect, AI & Data, Technology & Transformation
Deloitte —Manchester
- Hybrid work
- Azure
- Java
- AWS
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
Manager, Data Governance, AI & Data, Technology & Transformation
Deloitte —Manchester
- Hybrid work
- Computer Science
- Engineering
- Java
Lead AI Engineer
BBC —Salford
- £80,000 - £90,000 a year
- Full-time
- Azure
- Master's degree
- AWS
Lead Product Designer - L6
Street Group —Manchester
- £70,000 - £90,000 a year
- Full-time
- Hybrid work
- Management
- IT
- Work from home
- Flexible schedule
Quick apply
4d
Lead AI Engineer
Capgemini —Manchester
- Hybrid work
- Azure
- Master's degree
- AWS
Senior Consultant, Platform Engineer, Solutions, Engineering, AI & Data
Deloitte —Manchester
- Hybrid work
- Azure
- AWS
- Scripting
Lead Developer
Clear Business —Sale
- £57,920 - £72,400 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Free parking
- Annual leave
Quick apply
Manager, Platform Engineer, Solutions, Engineering, AI & Data
Deloitte —Manchester
- Hybrid work
- Azure
- AWS
- Scripting
Operational Technology / Project Management Professionals (OT/SCADA PLC)
Sweco UK —Manchester
- Part-time
- Hybrid work
- Programmable logic controllers
- Employee assistance programme
- Employee discount

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ai engineering lead jobs near manchester, eng

AI Engineering Lead

National Westminster Bank PLC -
Manchester

Apply Now

Job details

Permanent | Full-time
£38,123 - £53,820 a year
2 days ago

Benefits

Annual leave
Company pension

Qualifications

Performance management
Machine learning
AI
Leadership

Full job description

Closing date for applications: 19/07/2026

Location Manchester, United Kingdom

Job typePermanent | Contract typeFull Time

Remote / On-site Hybrid

You’ll spend some of your time at home, working with your team digitally. You’ll also regularly work at your office or hub to collaborate with your colleagues.

Senior Manager

This is a general indication and doesn’t always reflect day-to-day responsibilities. Check the job description for full details.

#R-00281982

Job description

This role is based in the United Kingdom and as such all normal working days must be carried out in the United Kingdom.

Join us as a AI Engineering Lead

In this key role, you’ll lead the engineering of AI and machine learning (ML) capabilities for the Economic Crime Hub, translating decision strategies into scalable, production-grade solutions
We’ll look to you to own the end-to-end lifecycle of AI and ML models, from development and deployment through to monitoring, optimisation, and ongoing performance management
This is an opportunity to make an impact by ensuring AI and ML solutions operate reliably and safely within governed, compliant environments, while meeting business, risk, and regulatory requirements

What you'll do

As a AI Engineering Lead, you'll lead the design, build, and deployment of ML models and AI systems into production environments. You'll translate decision strategies and analytical requirements into production-grade solutions, designing reusable pipelines and frameworks that support efficient delivery while ensuring reliable, high-quality outcomes that advance the Economic Crime Hub's objectives.

Moreover, you’ll establish and evolve ML engineering standards, tooling, and best practices across the Hub, while partnering closely with Analytics, Product, and Technology teams to deliver end-to-end decisioning capabilities. You’ll also drive the development of AI platform architecture and infrastructure to support the secure and efficient deployment of AI solutions, while providing technical leadership across ML engineering and AI disciplines to drive innovation, strengthen capability, and promote the adoption of effective solutions.

In addition, you’ll be:

Owning the end-to-end model lifecycle, including deployment, monitoring, optimisation, retraining, and decommissioning
Overseeing model performance in production, including accuracy, stability, drift, and real-world effectiveness
Embedding controls, monitoring, and validation within AI and ML solutions to ensure safe and compliant decision-making
Ensuring the technical integrity, resilience, and scalability of AI systems in alignment with enterprise architecture standards
Ensuring models are explainable, auditable, and compliant with governance requirements, working in partnership with Model Risk and Assurance
Enabling the automation of decision-making through AI and reducing reliance on manual intervention
Building and leading a high-performing ML engineering capability, including hiring, development, and technical progression of team members

The skills you'll need

We’re looking for someone with extensive experience designing, building, and deploying production-grade AI and ML solutions, supported by a strong understanding of ML engineering, Machine Learning Operations (MLOps), and model lifecycle management. You’ll bring the technical expertise to translate analytical models and decision strategies into robust, operational systems that deliver business value within regulated environments.

To succeed in this role, you must also have a proven track record of developing AI platforms and deployment capabilities that support the secure, reliable, and efficient delivery of AI solutions. Equally important is the ability to provide technical leadership, collaborate across multidisciplinary teams, and drive innovation while maintaining strong governance and risk management practices.

In addition, you’ll need to demonstrate:

Extensive experience designing and delivering production-grade ML and AI systems
Deep expertise in ML engineering and model lifecycle management, including deployment, monitoring, optimisation, and ongoing performance management
Strong knowledge of MLOps practices, including CI/CD, pipeline orchestration, automation, and production model management
Proven ability to translate analytical models and decision strategies into robust, operational decisioning systems
Experience developing AI platforms, scalable architectures, and reusable engineering components that enable efficient AI solution delivery
Experience working in regulated environments, with a strong understanding of governance, explainability, model risk, and compliance requirements
Proven leadership and stakeholder management skills, with the ability to collaborate across Analytics, Product, and Technology teams while building and developing high-performing technical teams

Your benefits breakdown

Here’s a quick look at what your pay package and annual leave could look like if you get accepted for the role. We have a wide range of benefits to support you in your working life and beyond.

Tap each segment for details.

Your pay package

100% Base pay This is your base pay package that you take home every month.

+10% Pension funding This is monthly funding paid towards your pension.

up to +10% Benefit funding This is monthly funding paid towards a range of benefits you can choose from.

Your leave allowance

30 days Annual leave You’ll also have the opportunity to purchase up to 5 additional days off.

3 days Volunteering Take time off to support the causes you’re passionate about.

3 days Training Take time to build the skills you need to grow your career.

Total rewards package

Welcome to our Spinningfields hub

Spinningfields is Manchester’s leading leisure, retail, and business district and home to some of the most incredible architecture, restaurants, flagship stores, and bars the city has to offer.

Key facts:

Space for 1,345 colleagues from various teams across the bank
Our outdoor roof terrace has panoramic views of the city
Opened in 2023

Apply Now

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ai engineering lead jobs in manchester, eng

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