Machine learning engineer Work, Jobs in Dalmeny, Edh (with Salaries)

Machine Learning Engineer
National Westminster Bank PLC —Edinburgh
- Full-time
- Hybrid work
- Hotel
- Maths
- Machine learning
- Annual leave
1d
Research Associate - Innovation Expert for theÂ Mathematics-Driven Innovation Centre (M-DICE)
Heriot Watt University —Edinburgh
- £47,389 a year
- Full-time
- Doctoral degree
- Administrative experience
- Maths
- Flexible schedule
11d
Quality Control Inspector - Structural
Babcock International —Dunfermline
- £39,327 - £46,064 a year
- Full-time
- Engineering
- AWS
- Quality control
- Annual leave
Senior Software Engineer - Machine Learning (Marketplace Dynamics) (Remote - United Kingdom)
Yelp —Edinburgh
- Full-time
- Remote
- Data analysis skills
- Machine learning
- Python
- Employee stock purchase plan
- Annual leave
Data Scientist (Product Analytics)
Wordsmith AI —Edinburgh
- Full-time
- SQL
- AI
- Communication skills
Principal Software Engineer
ClearSky Logic —Edinburgh
- Up to £68,000 a year
- Full-time
- Hybrid work
- Azure
- SQL
- Travel
- Sick pay
Quick apply
Research Engineer Intern (Multimodal LLM)
Tether Operations Limited —Edinburgh
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Lead Frontend Engineer
Ember —Edinburgh
- £70,000 - £110,000 a year
- Full-time
- AWS
- Bachelor's degree
- Python
- Flexible schedule
Quick apply
11d
AI Engineer (Infrastructure SRE & Automation)
Sky —Livingston
- Full-time
- Hybrid work
- AI
- Restaurant
- Python
- Free parking
- Employee discount
14d
AI Controls & Product Management Associate
JPMorganChase —Edinburgh
- Full-time
- Product management
- Agile
- Financial services
AI Solution Architect
Sky —Livingston
- Full-time
- Hybrid work
- Azure
- Master's degree
- AWS
- Employee discount
Applied Scientist, Demand Tech, Amazon Ads
Amazon Development Centre (London) Limited —Edinburgh
- Full-time
- Doctoral degree
- Engineering
- Java
1d
Director of AI SOX Governance (REMOTE in UK)
Charles River Laboratories —Edinburgh
- Full-time
- Remote
- Azure
- Master's degree
- Bachelor's degree
- Employee stock purchase plan
- Annual leave
Lead Data Scientist
Lloyds Banking Group —Edinburgh
- £92,701 - £109,060 a year
- Full-time
- Hybrid work
- AI
- Communication skills
- Python
Tech Insight Experience for Women - Engineering
National Westminster Bank PLC —Edinburgh
- Full-time
- Java
- Hotel
- AWS
Lead Application Support Manager
Standard Life —Edinburgh
- £65,000 - £85,000 a year
- Weekend availability
- Azure
- Oracle
- Windows
- Annual leave
4d
CRM - Senior CRM & Loyalty Manager
Schuh —Livingston
- Full-time
- Salesforce
- English
- Microsoft Office
- Employee assistance programme
- Employee discount
Network Engineer
OpticNet Digital Infrastructure Ltd —Edinburgh
- £61,711 - £78,550 a year
- Full-time
- Azure
- English
- AWS
Quick apply
1d
Software Development Engineer, Intelligent Talent Acquisition - Lead Generation & Detection Services
Amazon Development Centre (Scotland) Limited —Edinburgh
- Full-time
- Computer Science
- Java
- C++
9d
Java Software Engineer, Associate
BlackRock Investments —Edinburgh
- Hybrid work
- Oracle
- Computer Science
- Java
- Work from home

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machine learning engineer jobs near dalmeny, edh

Machine Learning Engineer

National Westminster Bank PLC -
Edinburgh

Apply Now

Job details

Permanent | Full-time
1 day ago

Benefits

Annual leave
Company pension
Transport links
On-site parking

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 Edinburgh, 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 Gogarburn hub

Set in large grounds including beautiful woodland, Gogarburn offers a conference centre, a business school with hotel bedrooms, a restaurant, relaxing zen gardens, onsite parking, and excellent transport links.

Key facts:

Surrounded by 85 acres of woodland
Our carparks provide electric vehicle charging
Opened in 2005

Apply Now

Refine Your Search

machine learning engineer jobs in dalmeny, edh

Machine Learning Engineer

Research Associate - Innovation Expert for theÂ Mathematics-Driven Innovation Centre (M-DICE)

Quality Control Inspector - Structural

Senior Software Engineer - Machine Learning (Marketplace Dynamics) (Remote - United Kingdom)

Data Scientist (Product Analytics)

Principal Software Engineer

Research Engineer Intern (Multimodal LLM)

Lead Frontend Engineer

AI Engineer (Infrastructure SRE & Automation)

AI Controls & Product Management Associate

AI Solution Architect

Applied Scientist, Demand Tech, Amazon Ads

Director of AI SOX Governance (REMOTE in UK)

Lead Data Scientist

Tech Insight Experience for Women - Engineering

Lead Application Support Manager

CRM - Senior CRM & Loyalty Manager

Network Engineer

Software Development Engineer, Intelligent Talent Acquisition - Lead Generation & Detection Services

Java Software Engineer, Associate

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