Machine Learning Engineer, City Of Edinburgh, Scotland, United Kingdom

Machine Learning Engineer

New Yesterday

Join us as a Machine Learning Engineer

We're looking for someone to deploy, automate, maintain and monitor machine learning models and algorithms to make sure they work effectively in a production environment
Day-to-day, you'll be at the forefront of applied AI and AI research in the financial services industry, collaborating with talented data engineers to create innovative, data-driven solutions and productionize machine learning models
This is your opportunity to turn your interests into a diverse and rewarding career, as you solve new problems and create smarter solutions in a non-stop innovation environment

What you'll do

Your daily responsibilities will see you codifying and automating machine learning model production, including pipeline optimisation, tuning and fault finding, as well as transforming data science prototypes and applying appropriate machine learning algorithms and tools.

We'll need you to deploy and maintain adopted end-to-end solutions, including building metrics to improve system performance and identifying and resolving differences in data distribution which affect model performance. You'll also maintain knowledge of data science and machine learning.

In addition, you'll be responsible for:

Understanding the needs of our business stakeholders, and how machine learning solutions meet those needs to support the achievement of our business strategy
Productionising machine learning models, including pipeline design, development, testing, and deployment, ensuring the original intent is carried over to production
Creating frameworks to make sure the monitoring of machine learning models within the production environment is robust
Delivering models that adhere to expected quality and performance while understanding and addressing any shortfalls, for example through retraining
Working in an Agile way within multi-disciplinary data and the analytics teams to achieve agreed project and Scrum outcomes

The skills you'll need

To be successful in this role, you'll have a passion for staying current with AI research and a desire to contribute to the field, as well as an academic background in a STEM discipline, like Mathematics, Physics, Engineering or Computer Science. You'll need experience with machine learning on large datasets and an understanding of machine learning approaches and algorithms.

Alongside this, you'll have experience of building, testing, supporting and deploying machine learning models into a production environment, using modern CI/CD tools, including Git, AWS, AWS Sagemaker, Docker, Terraform, Cloud Formation, Kubernetes, PyTorch, TensorFlow, Numpy and Scikit-learn.

Furthermore, you'll need:

Strong experience of using programming and scripting languages, such as Python
An understanding of how to synthesise, translate and visualise data and insights for key stakeholders
Financial services knowledge and the ability to identify wider business impacts, risks and opportunities to make connections across key outputs and processes

Hours
35

Job Posting Closing Date:
31/07/2025

Ways of Working:Remote First #J-18808-Ljbffr

Apply

Location:: City Of Edinburgh, Scotland, United Kingdom
Salary:: £150,000 - £200,000
Category:: Engineering

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