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
8h
Kaizen Lead
Astemo UK, Ltd. —Bolton
- Full-time
- Schematics
- CAD
- Continuous improvement
- Referral programme
Quick apply
Engineering Lead
Naturecan —Stockport
- Full-time
- Hybrid work
- AWS
- JavaScript
- Software development
- Employee discount
Quick apply
1d
Kaizen Lead
Astemo —Manchester
- From £40,000 a year
- Data analysis skills
- Assembly
- Continuous improvement
Engineering Manager - (Area Lead) - Site specific Design
Rolls-Royce SMR —Manchester
- £68,000 - £90,000 a year
- Full-time
- Hybrid work
- Civil engineering
- Travel
- Construction experience
Engineering Team Leader - Nights
2 Sisters Food Group —Flixton
- £56,784 a year
- Overtime
- Supervising experience
- Mechanical knowledge
- Employee assistance programme
- Employee discount
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
3d
Reliability Engineering Lead
Kraft Heinz Company —Wigan
- Microsoft Excel
- Computer literacy
- Engineering
Lead Product Designer
Bupa —Salford
- £55,300 - £69,100 a year
- Full-time
- AI
- Leadership
- Employee discount
- Gym membership
Quick apply
13d
Associate - Water Engineering Lead
Arup —Manchester
Team Lead for HVDC DC Protection Engineering
Siemens Energy —Manchester
- Full-time
- Doctoral degree
- Engineering
- English
- Annual leave
Hydropower Lead
AECOM —Manchester
- Full-time
- Hybrid work
- Sales
- Engineering
- Business development
Lead AI Engineer
BBC —Salford
- £80,000 - £90,000 a year
- Full-time
- Azure
- Master's degree
- AWS
Lead Engineer
Circle Health Group —Blackburn
- Up to £45,000 a year
- Full-time
- Hospital
- Maintenance
- Organisational skills
- Employee discount
- Life insurance
Engineering Team Leader
JIK-Integral UK Limited —Manchester
- Full-time
- Management
- Maintenance
- Analysis skills
- Annual leave
Quick apply
DragonFire Physical Domain V&V lead
MBDA —Bolton
- Up to £57,000 a year
- Overtime
- Hybrid work
- Presentation skills
- Free parking
Design Lead
JN Bentley —Manchester
- Full-time
- Engineering
- Travel
- Annual leave
Quick apply
7d
CS&A Capability Lead
Amentum —Risley
- Full-time
- Master's degree
- Bachelor's degree
- Continuous improvement
- Employee assistance programme
- Flexible schedule
Lead Engineer
Mitie —Manchester
- Full-time
- Mentoring
- Organisational skills
- Communication skills
Tool Design Team Lead
MBDA —Bolton
- £57,000 a year
- Overtime
- Hybrid work
- Management
- Organisational skills
- Leadership
- Free parking

I want to receive the latest job alerts for engineering lead in manchester, eng

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

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
8 hours 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

Refine Your Search

engineering lead jobs in manchester, eng

AI Engineering Lead

Kaizen Lead