Machine learning engineer Work, Jobs in Whalley Range (with Salaries)

Machine Learning Engineer
National Westminster Bank PLC —Manchester
- Full-time
- Hybrid work
- Maths
- Machine learning
- Scripting
- Annual leave
1d
Full Stack Software Developer (TypeScript / Next.js)
Has Utility Ltd —Manchester
- £33,458.77 - £88,740.39 a year
- Full-time
- Azure
- Java
- SQL
Quick apply
Support Engineer
Byteful.com —Manchester
- £30,000 - £45,000 a year
- Full-time
- SQL
- APIs
- In-person
- Language training provided
- Employee discount
Quick apply
14d
Applied AI Engineer – Prompting & Evaluation
KERRIDGE COMMERCIAL SYSTEMS CORP —Macclesfield
- Full-time
- ERP systems
- Master's degree
- APIs
Quick apply
R&D Technologist
Orbia —Chinley
- £30,000 - £40,000 a year
- Laboratory experience
- Continuous improvement
- AI
11d
Climate & Environmental Data Scientist
Technovative Solutions LTD. —Manchester
- £55,000 - £70,000 a year
- Full-time
- Doctoral degree
- Master's degree
- Machine learning
- Free parking
Quick apply
Senior Engineer - Machine Learning Operations (MLOPS)
Royal London —Alderley Edge
- Hybrid work
- Azure
- SQL
- Machine learning
- Annual leave
10d
Compliance Analyst
Open —Manchester
- Full-time
- Hybrid work
- English
- Organisational skills
- AI
Quick apply
8d
Data Engineer
Roke —Manchester
- Full-time
- Java
- AWS
- Python
Porter
Manchester University NHS Foundation Trust —Manchester
- £25,272 a year
- Full-time
- University
- AI
4d
Senior Biomedical Scientist
Manchester University NHS Foundation Trust —Manchester
- £49,387 - £56,515 a year
- Weekend availability
- Master's degree
- University
- AI
- Annual leave
9d
Principal AI and Machine Learning Software Engineer
Waters Corporation —Wilmslow
- Doctoral degree
- Computer Science
- System design
14d
Vice President, AI / Machine Learning Software Engineer
The Bank of New York Mellon Corporation —Manchester
- Full-time
- Computer Science
- Analysis skills
- Maths
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
Software ML Engineer
Arm —Manchester
- £55,300 - £74,800 a year
- Hybrid work
- Analysis skills
- C++
- Software development
AI Engineer (KTP Associate)
Manchester Metropolitan University —Manchester
- Up to £40,740 a year
- Full-time
- Computer Science
- Master's degree
- Project management
3d
PHP (Laravel) Developer
Mediablanket —Manchester
- £30,000 - £35,000 a year
- English
- AWS
- JavaScript
Phlebotomist
Manchester University NHS Foundation Trust —Wythenshawe
- £25,272 a year
- Part-time
- Microsoft Word
- University
- Patient care
1d
Senior Software Engineer (Frontend)
Moneysupermarket Group —Manchester
- Full-time
- Hybrid work
- AWS
- Continuous improvement
- JavaScript
10d
Lead Software Engineer
Northrop Grumman —Manchester
- £55,700 - £83,500 a year
- Java
- AWS
- Agile
- Relocation assistance

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Machine Learning Engineer

National Westminster Bank PLC -
Manchester

Apply Now

Job details

Permanent | Full-time
1 day ago

Benefits

Annual leave
Company pension

Qualifications

Software deployment
Git
Bash (Unix shell)
Maths
Machine learning
Scripting
Financial services
Communication skills
Python

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.

Managerial / Technical Lead

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

#R-00281993

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 Machine Learning Engineer

You’ll lead, drive and embed the deployment, automation, maintenance and monitoring of machine learning models and algorithms to make sure that that they work effectively in a production environment
We’ll look to you to understand the complex requirements and needs of business stakeholders, developing strong relationships, and how machine learning solutions can meet those needs to achieve business strategy goals
This is a high-profile role that offers considerable exposure as well as the opportunity to make a significant impact
You'll work from home some of the time, but you'll also spend a minimum of two days per week working from the office

What you'll do

This key role will see you working collaboratively with colleagues to productionise machine learning models including pipeline design and development, testing and deployment ensuring that the original intent and knowledge is carried over to production. You’ll create frameworks to ensure robust monitoring of machine learning models within production environment making sure these models are delivering expected quality and performance.

We’ll look to you to identify and communicate the actions needed to implement the function's strategy and business plan within the business area and explain the relationship to the broader organisation's mission, vision and values followed by motivating people to achieve local business goals.

You’ll also:

Collaborate with colleagues to design and develop advanced machine learning products
Codify and automate complex machine learning model productions including pipeline optimisation, tuning and fault finding
Lead both direct reports and wider teams in an agile way within multi-disciplinary data and analytics teams to achieve agreed project and scrum outcomes
Transform advanced data science prototypes and apply appropriate machine learning algorithms and tools
Provide technical guidance and input on the design and implementation of machine learning algorithms and models
Lead and deliver stakeholder engagement activities to develop effective project working relationships, ensuring that stakeholder needs and concerns are identified and met

The skills you'll need

We’re looking for someone with a strong academic background in a STEM discipline such as Mathematics, Physics, Engineering or Computer Science. You’ll have extensive experience building, testing, supporting and deploying advanced machine learning models into a production environment using modern CI or CD tools such as Git, TeamCity and CodeDeploy.

You’ll also have Financial Services knowledge, and the ability to identify wider business impact, risk and opportunities, making connections across key outputs and processes. We’ll expect you to have strong communication skills with the ability to proactively engage with a wide range of stakeholders.

Furthermore, you’ll need:

Strong understanding of fraud and financial crime systems, including transaction monitoring, onboarding/KYC processes, and real-time risk decisioning, with the ability to apply this knowledge to analytical and machine learning solutions
The ability to use data to solve business problems from hypotheses through to resolution
Extensive experience with machine learning on large datasets
A strong understanding of machine learning approaches and algorithms
Experience using programming and scripting languages such as Python and Bash
Experience in synthesising, translating and visualising data and insights for key stakeholders

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

machine learning engineer jobs in whalley range

Machine Learning Engineer

Full Stack Software Developer (TypeScript / Next.js)

Support Engineer

Applied AI Engineer – Prompting & Evaluation

R&D Technologist

Climate & Environmental Data Scientist

Senior Engineer - Machine Learning Operations (MLOPS)

Compliance Analyst

Data Engineer

Porter

Senior Biomedical Scientist

Principal AI and Machine Learning Software Engineer

Vice President, AI / Machine Learning Software Engineer

Lead Developer

Software ML Engineer

AI Engineer (KTP Associate)

PHP (Laravel) Developer

Phlebotomist

Senior Software Engineer (Frontend)

Lead Software Engineer

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