Technical Lead - Data Science & Engineering

Technical Lead - Data Science & Engineering

Location: Hybrid - 2 days per week in either Worcestershire or Hampshire

Salary: £63,000 - £66,000 DOE + 10% bonus

Are you a technically strong data leader who thrives at the intersection of strategy, architecture and hands-on delivery? Want to shape the future of data science and engineering within a fast-evolving SaaS business?

We're looking for a Technical Lead within Data Science & Engineering to drive the technical direction of a modern data platform supporting analytics, machine learning and Data-as-a-Service (DaaS) capabilities. In this role you'll combine deep technical expertise with cross-functional leadership mentoring a multidisciplinary team and guiding the development of performant, secure and scalable data products.

You'll be at the centre of data innovation, building infrastructure and ensuring that data science and engineering efforts are aligned, ethical and production-ready.

Key responsibilities include:

Architecting and scaling cloud-based data platforms and DaaS solutions
Acting as the technical authority across data science and engineering, setting standards for tools, patterns and workflows
Leading design and implementation of robust, secure pipelines and ML workflows
Collaborating with product, engineering and business teams to define strategy and deliver data solutions that matter
Mentoring team members, supporting professional growth and technical delivery
Overseeing deployment, monitoring and ethical use of ML models in production
Designing APIs and data interfaces for internal and external consumption
Evaluating and adopting new tools to enhance performance, maintainability and scalability

What We're Looking For

Strong experience in data science, data platform or ML engineering roles including recent experience in a technical leadership or architect-level position
Proven track record of building and scaling data systems in cloud environments (Azure preferred; AWS/GCP also welcome)
Strong Python and SQL skills with deep knowledge of modern data tooling and pipelines
Experience with MLOps, CI/CD workflows, containerisation (e.g., Docker, Kubernetes) and production-grade APIs
Understanding of data governance, privacy and regulatory compliance (e.g., GDPR)Nice to have:

Familiarity with Infrastructure as Code (e.g., Ansible), MLFlow, or orchestration frameworks
Background in both object-oriented and functional programming paradigmsPlease note: Visa sponsorship is unfortunately not available for this role. Applicants must have the right to work in the UK.

If you're excited about owning technical strategy, building data systems that scale, and leading a high-performing team-we'd love to hear from you.

Apply now to lead the next phase of our data transformation journey