Engineering Lead – Data, Analytics & AI
Bristol Harbourside, United Kingdom
R
GBP 92K-109K Senior-level Full Time
Tasks
- Adopt AI Engineering practices MLOps and LLMOps
- Automate platform engineering initiatives
- Build reusable semantic models and analytics
- Champion security resilience privacy and responsible AI
- Define engineering roadmap
- Deliver reporting machine learning and GenAI workloads
- Design and implement data products
- Drive deployment monitoring and governance for AI systems
- Drive technical strategy and engineering excellence
- Enable customer intelligence and personalization
- Improve efficiency reliability and developer productivity
- Influence architecture decisions
- Lead data analytics and AI engineering teams
- Mentor coach and develop engineering teams
Perks/Benefits
- Discounted shopping
- Flexible working
- Hybrid working
- Job share
- Paid time off
- Parental leave
- Pension contribution
- Performance bonus
- Share schemes
- Wellbeing initiatives
Skills/Tech-stack
AI Governance | Amazon Web Services | Apache Beam | CI/CD | Cloud | Cloud platform | Containers | Data Lake | Data Warehousing | DevSecOps | Dimensional Modeling | Embeddings | Flink | Generative AI | Google Cloud | Google Cloud Platform | Infrastructure automation | Kafka | Kubernetes | LLMOps | Lakehouse | Lifecycle Management | MLOps | Machine Learning | Microsoft Azure | Model Lifecycle | Model Lifecycle Management | Observability | Python | Retrieval-Augmented Generation | SQL | Semantic Modeling | Spark | Vector Databases | Web Services
Education
N/A
Roles
Data Engineering | Data Engineering Lead | Engineering | Engineering Lead | Lead
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