Senior AI Engineer
Job in
City Of London, Central London, Greater London, England, UK
Listed on 2026-10-18
Listing for:
Randstad Technologies Recruitment
Full Time
position Listed on 2026-10-18
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Python
Job Description & How to Apply Below
Type: 3‑Month Contract (ASAP Start)
Location:
Remote (UK or European time zone match)
My client, a leading global financial institution, is seeking a Senior AI Engineer to join the AI Centre of Excellence within their Emerging Technology Group. Working on core enterprise initiatives, you will design, develop, and deploy production-grade Generative AI workflows and build critical backend security guardrails across the organisation.
Key Responsibilities- AI Guardrails & Governance:
Design and implement backend security guardrail capabilities to sanitize sensitive data (PII and MNPI) and prevent prompt injection risks in production LLM workflows. - GenAI Workflows & Scalable Solutions:
Build and deploy enterprise-level GenAI, ML, and deep learning solutions using Python or Java. - Gen UI/UX & Frontend Integration:
Design and implement user interfaces and frontends for AI guardrail requirements (~20-25% of the role). - Cloud Infrastructure & Data Pipelines:
Build with AWS and Azure services to construct ETL workflows and dynamic systems using orchestration platforms like Apache Airflow. - Production Operations:
Support production applications, maintain SLAs, and create continuous evaluation metrics for ML solution performance.
- 2‑5 years' hands‑on software/ML engineering experience delivering production AI solutions (no PhD required).
- Strong programming skills in Python (Java experience also accepted).
- Hands‑on experience building GenAI applications, LLM workflows, and data pipelines.
- Cloud experience across AWS or Azure ecosystems along with data orchestration tools (e.g., Airflow).
- Practical understanding of AI safety, prompt injection handling, and PII/MNPI compliance guardrails.
If you have 2‑5 years' experience in ML/AI engineering, strong skills in Python, cloud environments, and AI guardrail security, alongside immediate availability
Position Requirements
10+ Years
work experience
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