Emily Chapman
Consultant
Senior AI Engineer
Bracknell, Berkshire, South East, England
Apply by 29 Mar 2026
£110000 per annum
Job Ref.: BH-56875
Job Description
Location: Remote
Salary: 100-110k/annum (DOE)
Industry: Life Sciences
Role Overview We are seeking a Staff AI Engineer to design, build, and scale production-grade ML, Generative AI, and Agentic AI systems within our business domain.
Embedded within the Enterprise Data Office, you will be the senior hands-on technical leader translating complex business problems into secure, scalable, and cost-efficient AI solutions on AWS and Databricks.
This is a deeply technical role focused on engineering excellence, operational resilience, and measurable business impact.
Key Responsibilities
- Architect and implement end-to-end AI systems (RAG, vector search, real-time and asynchronous inference).
- Productionize multi-agent workflows and Foundation Model integrations.
- Lead MLOps, LLMOps, and AgentOps practices (CI/CD, evaluation, monitoring, drift detection).
- Build secure, GPU-optimized, cloud-native AI platforms using Terraform, Docker, and Kubernetes.
- Ensure AI security by design (private endpoints, PII redaction, least-privilege IAM).
- Optimize cost-performance trade-offs across proprietary and open-source models.
- Lead technical design reviews and mentor engineers in AI-native development practices.
- Expert building AI Architectures in AWS on Databricks.
- Strong experience with RAG, large-scale inference, and distributed systems.
- Hands-on MLOps/LLMOps in production environments.
- 5 years experience building scalable, secure AI services in enterprise settings.
- Strong communicator able to articulate engineering trade-offs clearly.
- Databricks Certified (preferred), AWS Certified (preferred)