Machine Learning Engineer

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