Senior Machine Learning Engineer

NatWest Group; City of Edinburgh; Remote; GBP 65,000 - 85,000; Full time

Job summary

A leading financial services firm is seeking a Senior Machine Learning Engineer to drive the development of machine learning solutions. The role involves automating model deployments and mentoring junior engineers. Candidates should possess a strong STEM background and experience with machine learning in production environments. This remote-first position offers career development opportunities and a collaborative work culture.

Benefits

Career development opportunities

Remote work flexibility

Qualifications

• Strong academic background in a STEM discipline.
• Experience with machine learning on large datasets.
• Understanding of machine learning approaches and algorithms.

Responsibilities

• Collaborate to design and develop machine learning products.
• Codify and automate complex machine learning model productions.
• Create frameworks for monitoring machine learning models.

Skills

Data analysis

Machine learning algorithms

Agile methodologies

Python programming

Bash scripting

Team leadership

Education

STEM degree (Mathematics, Physics, Engineering, Computer Science)

Tools

git

TeamCity

CodeDeploy

Job description

Join us as a Senior Machine Learning Engineer

• In this role, you'll be driving and embedding the deployment, automation, maintenance and monitoring of machine learning models and algorithms
• Day-to-day, you'll make sure that models and algorithms work effectively in a production environment while promoting data literacy education with business stakeholders
• If you see opportunities where others see challenges, you'll find that this solutions-driven role will be your chance to solve new problems and enjoy excellent career development

What you'll do

Your daily responsibilities will include you collaborating with colleagues to design and develop advanced machine learning products which power our group for our customers. You'll also codify and automate complex machine learning model productions, including pipeline optimisation.

We'll expect you to transform advanced data science prototypes and apply machine learning algorithms and tools. You'll also plan, manage, and deliver larger or complex projects, involving a variety of colleagues and teams across our business.

You'll also be responsible for:

• Understanding the complex requirements and needs of business stakeholders, developing good relationships and how machine learning solutions can support our business strategy
• Working with colleagues to productionise machine learning models, including pipeline design and development and testing and deployment, so the original intent is carried over to production
• Creating frameworks to ensure robust monitoring of machine learning models within a production environment, making sure they deliver quality and performance
• Understanding and addressing any shortfalls, for instance, through retraining
• Leading direct reports and wider teams in an Agile way within multi-disciplinary data and analytics teams to achieve agreed project and Scrum outcomes
• Leveraging state-of-the-art fine-tuning methodologies such as Parameter-Efficient Fine-Tuning (PEFT) and Group Relative Policy Optimization (GRPO), and contributing to research initiatives that advance the frontier of Large Language Models
• Demonstrating a strong commitment to team development by mentoring junior engineers, enabling their growth and impact through effective delegation, inclusive collaboration, and knowledge sharing

The skills you'll need

To be successful in this role, you'll need to have a good academic background in a STEM discipline, such as Mathematics, Physics, Engineering or Computer Science. You'll also have the ability to use data to solve business problems, from hypotheses through to resolution.

We'll look to you to have experience with machine learning on large datasets, as well as experience building, testing, supporting, and deploying advanced machine learning models into a production environment using modern CI/CD tools, including git, TeamCity and CodeDeploy.

You'll also need:

• A good understanding of machine learning approaches and algorithms
• Experience using programming and scripting languages, including Python and Bash
• An understanding of synthesising, translating and visualising data and insights for key stakeholders
• Financial services knowledge and the ability to identify wider business impact and risk opportunities and to make connections across key outputs and processes
• Good communication skills with the ability to proactively engage with a wide range of stakeholders
• A proven track record of coaching and developing junior team members, fostering a collaborative environment that enhances team performance and delivery
• Hands-on experience with fine-tuning and adapting Large Language Models using advanced techniques such as PEFT and GRPO, with a strong understanding of their application in scalable, real-world systems and research contexts

Hours
35

Job Posting Closing Date:
19/08/2025

Ways of Working:Remote First