Machine Learning Applied Scientist (Machine Learning Observability & Governance)

Starling Bank; London; Hybrid; GBP 125,000 - 150,000; Full time

Job summary

A leading UK digital bank is seeking a Machine Learning Applied Scientist to innovate in ML observability and governance. The ideal candidate will possess a strong background in AI and experience with deploying ML models in production. This role embraces a hybrid work model, emphasizing collaboration among diverse teams to tackle challenges in the banking sector.

Benefits

Private health insurance

Pension schemes

Wellness initiatives

Qualifications

• Experience in advanced machine learning and AI.
• Research experience with leadership in projects.
• Experience deploying ML/AI models in production.

Responsibilities

• Pioneering methods to understand AI and ML model behaviour.
• Translating research into production systems.
• Collaborating with data scientists and ML engineers.

Skills

Advanced machine learning

AI model deployment

Strong programming skills in Python

Education

Strong academic background

Job description

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Machine Learning Applied Scientist (Machine Learning Observability & Governance), London

Client: Starling Bank

Location: London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: f259df9574f0

Job Views: 17

Posted: 12.08.2025

Expiry Date: 26.09.2025

Job Description:

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with a culture of a fast-moving, disruptive tech company. We’re fairer, easier to use, and designed to demystify money for everyone. We employ more than 3,000 people across London, Southampton, Cardiff, and Manchester.

Our technologists are at the heart of Starling, working in a fast-paced environment focused on building innovative fintech solutions. We operate a flat structure to empower decision-making, fostering a culture of innovation and collaboration. Support is available across teams, emphasizing teamwork and shared goals.

Success at Starling requires being self-driven, taking ownership of your work—from building and designing to sharing knowledge and optimizing processes—to deliver the best outcomes for our customers. Our core values are Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a hybrid approach: we prefer employees to be within a commutable distance to our offices, with a minimum of 1 day per week in the office for Technology teams.

Our Data teams focus on delivering impactful insights across Banking Services, Customer Identity & Financial Crime, and Data & ML Engineering. We value engagement, care for customers, and a broad skill set to tackle diverse challenges.

Responsibilities:

• Pioneering novel methods to understand AI and ML model behaviour in production banking environments.
• Translating research into scalable, maintainable production systems.
• Presenting research findings internally and externally to foster continuous learning.
• Collaborating with data scientists, ML engineers, and stakeholders to address challenges in ML observability and governance.

Requirements:

• Strong academic background and practical experience in advanced machine learning and AI.
• Research experience in academia or industry with leadership in research projects.
• Proven experience deploying ML/AI models in production environments.
• Strong programming skills in Python and familiarity with relevant libraries.

Beneficial but not essential:

• Experience presenting at conferences.
• Understanding of financial services sector and AI applications therein.
• Experience with monitoring and governance of Large Language Models (LLMs).

Our interview process is conversational, designed to be mutually informative, including stages like initial chat, a take-home challenge, technical interviews, and final discussions with executives. We offer a comprehensive benefits package including holidays, private health insurance, pension schemes, and various wellness initiatives.

About us

We encourage applicants to apply even if they don’t meet every requirement. We value diversity and are committed to reshaping banking through our talented team. Join us in solving problems and making banking better for everyone.