Head of AI and Data Science
Remote
Full-time | Permanent
110k – 130k + Benefits
This is an opportunity to join an established automotive SaaS business that is looking to build and scale a new Gen AI capability, focusing on Generative AI, classical Machine Learning, and early-stage Data Science.
You’ll drive the vision, design, and deployment of high-impact AI solutions, while also building out the team, processes, and infrastructure needed to support enterprise-scale AI adoption.
What You’ll Do
Lead AI strategy & execution -
- Define the AI vision across GenAI, ML, and Data Science disciplines.
- Build and lead an internal AI Centre of Excellence.
- Act as the primary AI representative in leadership and product discussions.
Deliver generative AI solutions -
- Design and deploy GenAI applications (e.g. virtual assistants, copilots, RAG systems)
- Set up scalable LLMOps pipelines: model evaluation, versioning, and governance.
- Monitor developments in the GenAI landscape and evaluate adoption paths.
Support machine learning projects -
- Collaborate with ML Engineers on classical ML initiatives
- Guide model lifecycle processes including training, deployment, and monitoring.
- Provide hands-on support with experimentation pipelines and MLOps tooling.
Lay the groundwork for Data Science -
- Act as the initial Data Science contributor for analytics and decision-support needs.
- Build foundational tools and frameworks for testing, metrics, and statistical analysis.
- Help shape the future team structure, tool stack, and hiring strategy.
About You
Must-Haves
- Experience delivering production-ready GenAI solutions
- Solid grasp of LLMs, prompt engineering, and RAG workflows
- Familiarity with MLOps practices and deployment of classical ML models
- Competence in statistical modelling and A/B testing frameworks
- Proficiency in Python and at least one other programming language
- Strong understanding of cloud environments (ideally AWS)
- Proven team leadership and mentoring capabilities
- Excellent communicator with strong stakeholder influence skills
Nice-to-Haves
- Experience with AWS AI ecosystem (e.g. SageMaker, Bedrock, Lambda)
- Knowledge of low/no-code GenAI platforms
- Background in platform or DevOps for AI systems
- Awareness of ethical AI principles and governance frameworks
Why This Role?
This is a rare greenfield opportunity to define and build an AI practice from the ground up. You’ll have the autonomy to shape both strategy and execution, while working at the intersection of cutting edge GenAI, scalable ML systems, and impactful business use cases.
If this sounds like you and you're ready to lead, build, and experiment, please apply for more.
