Senior Machine Learning Scientist (London, GB, E14 5HQ)

HSBC
London
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Stakeholder communication","Organisational skills","Delivery discipline","Mentoring/coaching","Working across multiple initiatives"]

Design, build, deploy, and operate production-grade AI services (ML and/or GenAI) for Wholesale use cases. Productionise proof-of-concepts into secure, scalable solutions with clear non-functional requirements and service ownership. Build MLOps/LLMOps CI/CD pipelines for repeatable releases, observability, monitoring, and drift checks. Partner across data science, data engineering, platform, and governance stakeholders to deliver auditable, well-documented services.

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FursaFursa
HSBC
HSBC
1 day ago

Senior Machine Learning Scientist (London, GB, E14 5HQ)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Design, build, deploy, and operate production-grade AI services (ML and/or GenAI) for Wholesale use cases. Productionise proof-of-concepts into secure, scalable solutions with clear non-functional requirements and service ownership. Build MLOps/LLMOps CI/CD pipelines for repeatable releases, observability, monitoring, and drift checks. Partner across data science, data engineering, platform, and governance stakeholders to deliver auditable, well-documented services.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, deploy, and operate production-grade AI services (ML and/or GenAI) that are secure, scalable, and reusable across Wholesale use cases.
  • •Productionise PoC/PoV work into hardened solutions with non-functional requirements (performance, resilience, cost, security) and defined service ownership.
  • •Build and maintain MLOps/LLMOps pipelines for repeatable releases, including CI/CD, automated testing, packaging, and model/version management.
  • •Implement observability for AI services with logging/metrics/tracing, model performance monitoring, and quality/drift checks with actionable alerting.
  • •Partner with data scientists, data engineers, platform teams, and governance/risk stakeholders to meet control, auditability, and documentation expectations.

Key Requirements

  • •Strong software engineering experience delivering end-to-end production services with ownership for run/support considerations.
  • •Proficiency in Python and modern engineering practices including testing, packaging, dependency management, and Git-based workflows.
  • •Hands-on AI deployment experience, including containerisation (Docker), orchestration (Kubernetes), API-based serving, and batch/stream inference.
  • •Practical MLOps/LLMOps experience with CI/CD for ML, model packaging/release management, automated validation, monitoring, and lifecycle management.
  • •Working knowledge of ML/DL frameworks and tooling (e.g., PyTorch/TensorFlow) plus experience with complex datasets and integrating data pipelines into AI services.
Skills:Stakeholder communicationOrganisational skillsDelivery disciplineMentoring/coachingWorking across multiple initiatives
Tech Stack:PythonGitCI/CDMLOpsLLMOpsDockerKubernetesAPI-based servingFlaskFastAPIPyTorchTensorFlowML ecosystemSQL ServerPostgresObservabilityLoggingMetricsTracingModel performance monitoring

Company Brief

HSBC
Global banking and financial services organisation offering retail, commercial, corporate and investment banking, wealth management, and global markets services across Europe, Asia, the Americas and the Middle East.
Industry: Banking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: London, United Kingdom
Founded: 1865
Glassdoor
Glassdoor: 3.6
WebsiteLinkedIn