Lead AI Engineer creating AI - powered solutions with Python and machine learning frameworks. Collaborate with data scientists and engineers to optimize innovative application development.
About the role
- Lead Engineer designing, building, and deploying AI-enabled solutions at Bauer Media Outdoor. Collaborating with Product Leads to integrate innovative AI technologies and enhance business operations.
Responsibilities
- Design and build AI enabled applications that address genuine business needs rather than theoretical use cases
- Integrate AI services such as Azure OpenAI and Perplexity AI into production systems
- Develop APIs, backend services, service integrations, automation workflows and data pipelines that enable AI capabilities
- Build and maintain custom AI Assistants for Bauer AI Chat with a focus on security, reliability and user experience
- Partner closely with Product Leads to take ideas from discovery through to delivery
- Translate ambiguous business problems into clear, scalable technical solutions
- Prototype, experiment and iterate quickly based on user feedback and performance data
- Deploy AI driven features into live environments with a focus on speed, quality
- Write clean, well-tested, production ready code and set a high engineering standard
- Own system design, delivery and ongoing evolution end to end
- Resolve complex engineering challenges across performance, scalability and integration
- Build and operate reliable infrastructure using practical DevOps and MLOps practices
- Monitor, optimise and continuously improve AI solutions in production
- Mentor engineers and raise capability across AI solution development, design and delivery
- Communicate technical decisions clearly to non-technical audiences.
- Support adoption and rollout by ensuring robust integrations and smooth user experiences.
Requirements
- 8 + years of professional software engineering experience with strong backend expertise
- Strong proficiency in Python and cloud-native development (Azure preferred).
- Proven experience integrating AI or LLM based services into production systems
- Experience in machine learning or computer vision is beneficial but not essential
- Strong Python skills and experience building cloud native systems, Azure preferred
- Solid understanding of distributed systems, APIs, microservices and secure software design
- Experience with DevOps or MLOps tooling including CI CD, Docker, Kubernetes, monitoring and logging
- Comfortable owning complex technical problems and driving them through to delivery
Benefits
- Hybrid working model with regular office presence to build team culture and relationships.
- 25 paid holidays
- Company Pension Scheme paid up to 8%
- Healthcare Cash Plan
- Life Insurance and group income protection scheme
- Cycle to work scheme
- Enhanced Maternity & Paternity Cover
Job title
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