Overview
In this role, you will lead the development and operation of production AI/ML and LLM-based services for legal research and analytics. You will work with cross-functional teams to shape architecture, MLOps, and responsible AI practices, driving scalable ML solutions across enterprise platforms. You’ll ensure integration with legacy systems and AWS-hosted services while guiding AI-assisted development practices. This is a hands-on leadership role focused on delivering impactful, governed AI capabilities in a legal content context.
Pay / Benefits
- flexible working hours
- generous holiday allowance
- private medical benefits
- pension scheme
- learning and development resources
- Employee Assistance Programme
Responsibilities
- Serve as the initial escalation point for AI/ML engineering issues
- Collaborate with engineers, data scientists, product stakeholders, domain experts, and platform teams to finalize requirements
- Draft and review specifications for complex AI/ML/LLM/RAG components
- Design, build, deploy, and operate production AI/ML and LLM services for legal content
- Implement RAG, semantic search, embeddings-based retrieval, summarisation, and classification where appropriate
- Create agentic workflows and multi-step AI processes that are reliable and governed
- Integrate AI/ML with enterprise systems, APIs, databases, data platforms, and AWS services
- Establish evaluation and quality controls for accuracy, groundedness, latency, cost, and business value
- Promote development processes, code reviews, MLOps, and responsible AI controls
- Apply AI-assisted tools to accelerate software development including testing, refactoring, and documentation
- Troubleshoot complex AI/ML issues across data flows, system integration, and production support
- Mentor engineers on AI/ML topics, SDLC, and responsible AI practices
- Stay updated on ML engineering and AWS technologies relevant to the role
- Ensure AI/ML solutions comply with data governance, security, and operational standards
- Other duties as assigned
Key requirements
- Hands-on experience in ML/AI engineering, software or data engineering
- Experience deploying and operating ML/AI/LLM systems in production
- Experience integrating AI/ML with enterprise systems and data platforms
- Experience working with cross-functional teams to map processes and constraints
- Experience with AWS or cloud-hosted production environments
- Equivalent technical experience or education considered
- Strong communication and technical writing
- Problem-solving and troubleshooting
- Collaboration with cross-functional teams
- Python development for ML and production workflows
- Software engineering fundamentals (APIs, distributed systems, testing, maintainability)
- ML engineering and MLOps practices (model lifecycle, CI/CD, monitoring)
Machine Learning Engineering Lead in London employer: RELX Group
At ICIS, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters curiosity and creativity. Our London-based team thrives in a fast-paced environment, providing ample opportunities for professional growth and the chance to become a recognised expert in the evolving energy market. With a commitment to employee well-being and a range of country-specific benefits, we ensure our staff are supported in their pursuit of meaningful and rewarding careers.
