Senior ML Engineer: AI Platform & Scalable Cloud Infra

LexisNexis

Poltimore

On-site

GBP 70,000 - 110,000

Full time

11 days ago
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Benefits offered by this job

Wellbeing initiatives
Shared parental leave
Study assistance
Sabbaticals

Job summary

LexisNexis IP analytics platform brings together highly curated, enriched datasets and sophisticated analytical tools to support competitive intelligence, benchmarking and portfolio optimisation—all in one place. It enables essential IP activities with scalable, cost-efficient production services.

As part of the AI Platform team, you will research, design and deliver agentic AI capabilities, build scalable cloud-native services, and collaborate with stakeholders across the organisation to drive

Qualifications

  • Experience with modern Python codebases and AWS or a comparable cloud platform.
  • Infrastructure as code using Terraform; solid software engineering principles.
  • Experience with generative AI and agentic AI systems; strong communication.
  • Azure Pipelines and Terraform experience desirable.
  • Mentor junior developers and participate in Scrum ceremonies.

Responsibilities

  • Research and evaluate emerging AI technologies for use in customer-facing features.
  • Design and build agentic AI systems and AI-powered product capabilities.
  • Develop reusable frameworks for evaluating AI quality, safety and performance.
  • Write and review detailed technical specifications for moderately complex system components.
  • Collaborate closely with stakeholders across the organisation.

Skills

Python
AWS
AI/ML
Generative AI
Code reviews
Scrum

Tools

Terraform
Azure Pipelines
EKS
pytest
Pandas
FAISS

Job description

LexisNexis IP analytics platform brings together highly curated, enriched datasets and sophisticated analytical tools to support competitive intelligence, benchmarking and portfolio optimisation—all in one place. It enables essential IP activities with scalable, cost-efficient production services.

As part of the AI Platform team, you will research, design and deliver agentic AI capabilities, build scalable cloud-native services, and collaborate with stakeholders across the organisation to drive

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