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hackajob is partnering directly with LexisNexis to hire for this role.
Machine Learning Engineering Lead
Are you passionate about designing and deploying intelligent machine learning solutions that drive business impact?
Do you enjoy leading teams, building scalable ML systems, and turning complex data into innovative products and services?
About the team:
We are a software engineering team responsible for developing and supporting business-critical platforms used to create, manage, publish, and analyse legal and regulatory content. Our work spans modern web applications, cloud services, content migration programmes, publishing platforms, reporting solutions, and operational tooling. We partner with editorial, product, and technology stakeholders to deliver high-quality solutions that drive business value. In addition to supporting the UK business, we work closely with engineering teams across multiple regions to share expertise, promote reuse, and deliver scalable solutions that benefit the wider organisation.
About the role:
This position serves as a subject matter expert for Machine Learning Engineering, supporting production AI/ML, LLM/RAG, and agentic workflow capabilities for legal content products. In addition to writing code on complex systems, this position provides technical direction on architecture, MLOps, responsible AI, legacy system integration, AWS-based delivery, and AI-assisted development practices. The position does not have direct reports.
Key Responsibilities:
- Serve as the initial point of escalation for AI/ML engineering issues within the area of responsibility.
- Interface with software engineers, data engineers, product stakeholders, domain experts, platform teams, and other technical personnel to finalise requirements and clarify integration needs.
- Write and review portions of detailed specifications for the development of complex AI/ML, LLM, RAG, and agentic workflow components.
- Design, build, integrate, deploy, and operate production AI/ML and LLM-based services for legal research, analytics, and content use cases. xgikmsk
- Implement RAG, semantic search, embeddings-based retrieval, ranking, summarisation, classification, content enrichment, and citation-aware AI capabilities where appropriate.
- Design and implement agent Please click on the apply button to read the full job description
Machine Learning Engineering Lead in London employer: Hackajob
Joining Google as a Security Platform Engineer in the UK Public Sector means becoming part of a dynamic and innovative team dedicated to delivering secure private cloud services for critical customers. With a strong emphasis on employee growth, you will have access to cutting-edge technology and collaborative opportunities that foster professional development. The inclusive work culture at Google encourages creativity and teamwork, making it an exceptional employer for those seeking meaningful and impactful work in a supportive environment.
