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RandstadOffen

Senior AI Engineer

Vertraulich · London, Greater London, Großbritannien · Remote · Senior

  • London, Greater London, Großbritannien · Remote
  • 3months

Indexiert (vor 12 Tagen) · laufend aktualisiert

Budget
54–61 £ / h
Start
flexible
Laufzeit
3months
Arbeitsmodell
Remote
Vertrag
Freelance / B2B
Erfahrungslevel
Senior
Referenz
PR-1556122

Jobbeschreibung

Project overview

Role: Senior AI Engineer

Type: 3‑Month Contract (ASAP Start)

Project details

Remote (UK or European time zone match)

My client, a leading global financial institution, is seeking a Senior AI Engineer to join the AI Center 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

Qualifications & Skills

If you have 2-5 years' experience in ML/AI engineering, strong skills in Python, cloud environments, and AI guardrail security, alongside immediate availability - please apply for this opportunity or please share: your latest CV to [contact removed].

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

  • 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.
  • Start: flexible
  • Duration: 3months
  • Remote: remote
  • Location: London, Greater London, GB
  • Rate: 54-61 EUR/h

Indexiert von der 9am-Meta-Suche. Du bist Job-Anbieter? Listing beanspruchen oder verwalten

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