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Gazelle Global

ML & AI Engineer

CompanyGazelle Global
LocationLondon Area, United Kingdom
Posted At3/6/2026

UK Visa Sponsorship Analytics

Analytics are greyed out due to low classification confidence (35.0%).
Occupation Type
Telecoms and related network installers and repairers
Occupation Code Skill LevelMedium Skilled
Sponsorship Salary Threshold
£41,700 (£21.38 per hour)
Standard minimum applies

Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.

Disclaimer: Hunt UK Visa Sponsors aggregates job listings from publicly available sources, such as search engines, to assist with your job hunting. We do not claim affiliation with Gazelle Global. For the most up-to-date job details, please visit the official website by clicking "Apply Now."

Description

Program Scope:

  • Developing and provisioning of infrastructure that support agentic workflows across both Azure and GCP
  • Data science expertise to help shape the agentic solution design of Coach AI as well as target state AI Assistant
  • Creation of agent integration patterns to fulfil and action on behalf of customers by leveraging Bank systems
  • Development of new AI products for the Conversational Banking Lab, including but not limited to:
  • Agent summarisation - bespoke features to summarise nuanced conversations
  • App search evolution - transforming the existing vector search functionality into a fully generative experience and transition to single experience point
  • Evaluation methods - continued automation of both deterministic and generative conversations in a scaled and simulated way


Must haves

  • Python literacy - min 2years+ working on production grade LLM based applications
  • Software Engineering - strong understanding of microservices architecture, CI/CD pipelines, event driven architecture
  • AI Engineering - RAG pipelines, prompt engineering, VertexAI experience, LLMOps and runtime evaluation/monitoring
  • Data engineering - scaled data pipelines using python/spark. GCP native services: BQ, Spanner, Dataflow, Firestore


. Nice to haves

  • AgenticAI - Langgraph, ADK, CrewAI, multi-agent architectures - experience in building deployable solutions, not jupyter notebooks
  • Data ontologies - graphical approaches to data storage + retrieval
  • Exposure to Agile/Scrum methodologies.