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About the Role:Technical Leadato drive innovation across data science and engineering initiatives within a growing and forward-thinking software provider. You'll play a key role in shaping a unified data platform and delivering high-impact machine learning and data solutions across cloud and hybrid environments. This is a hands-on leadership role, combining deep technical expertise with mentoring and cross-functional collaboration.

What You'll Be Doing:

Architect and scale a modern data platform and DaaS (Data-as-a-Service) infrastructure

Lead and mentor a team of data scientists and engineers across multiple projects

Oversee the deployment and monitoring of machine learning models in production

Define coding standards and implement best practices in CI/CD, MLOps, and API delivery

Collaborate with business, product, and engineering teams to align data strategy with commercial goals

Champion data governance, security, and compliance throughout the data lifecycle

Evaluate and introduce new technologies to enhance performance, scalability, and maintainability

What We're Looking For:

Extensive experience in data science, machine learning engineering, o data platform architecturer

Proven leadership within technical teams, ideally in cloud-firstenvironments (Azure, AWS, or GCP)

Proficiency in Python, SQL, and cloud-native data tools

Solid understanding of MLOps, including model lifecycle management (e.g. MLflow), containers (Docker/Kubernetes), and monitoring

Experience delivering Data-as-a-Serviceproducts and APIs

Excellent communication skills - able to explain complex concepts to both technical and non-technical audiences

Strong grounding in data governance, security, and privacy standards

Degree (or higher) in a relevant field such as Data Science, Computer Science, or Statistics

Desirable:

Familiarity with both object-orientedan functional programmingdparadigms

Why Join?

Hybrid - Two Days a week
Competitive salary + benefits

You'll be joining a values-led organisation with a strong focus on inclusion, innovation, and collaboration. The company is investing heavily in its data capabilities, offering you the opportunity to influence technical strategy, mentor others, and build cutting-edge solutions in a supportive, forward-looking environment.

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