Top Tech Jobs & Startup Jobs

Design and implement graph-based search services and scalable backend systems using Java and Spring Boot. Build GraphQL/REST APIs, integrate with AWS services and databases, ensure observability with New Relic and Coralogix, mentor engineers, and collaborate on search and recommendation features to deliver reliable, cloud-native solutions.

Design, implement, and maintain Responsible AI governance frameworks, model risk policies, and procedures. Collaborate with product, engineering, data science, legal, and compliance to embed standards across the product lifecycle. Support quarterly model reviews and audits, ensure regulatory compliance (RELX Responsible AI Principles), and monitor industry and regulatory changes to mitigate model risk.

Lead global incident response efforts: develop and execute IR plans, perform endpoint and cloud forensics, conduct full lifecycle investigations, produce incident reports and threat intelligence, tune detection controls, remediate vulnerabilities, and improve security monitoring and mitigation capabilities.

Design, build, and operate highly available AWS systems. Write and maintain Terraform, improve observability (Grafana, Pingdom, Uptrends), run on-call incident response, define SLOs/SLIs, build CI/CD with Azure DevOps/GitHub, automate operational work, document in Confluence, and mentor engineers.

Lead technical design and delivery of shared AI platform services. Develop backend services and APIs (primarily Python, some Java), operate on Kubernetes (EKS), enforce engineering best practices, mentor engineers, partner with product/research teams, and ensure scalability, reliability, security, and observability of production AI/LLM systems.

Support delivery of customer-facing SaaS projects in fraud and identity solutions by planning, tracking, and coordinating teams and stakeholders. Manage timelines, risks, issues, dependencies, documentation, meetings, and project financials. Contribute to internal planning, forecasting, capacity management, and resource utilisation while balancing up to 50% billable delivery work.

Lead the accessibility program for Clinical Solutions: set strategy, assess compliance posture, maintain VPATs/ACRs, drive remediation roadmaps, embed accessibility across product, content, and distributed teams, and report metrics to leadership.

Build and ship LLM-powered, agentic AI solutions within cross-functional squads: implement RAG, retrieval pipelines, tool use and agent workflows; integrate AI into enterprise systems; ensure observability, guardrails, reuseable patterns, and measurable outcomes; support handover and stakeholder alignment.

Drive revenue growth and long-term partnerships across assigned strategic accounts by managing renewals, identifying new opportunities, executing strategic account plans, and using data-driven insights to meet targets while collaborating with internal teams.

Senior MLOps engineer to productionize NLP/GenAI models and RAG systems: build and automate ML pipelines, CI/CD, model registries, search/vector/graph-based retrieval, evaluation metrics and cost-optimized scalable infrastructure, collaborating with data scientists, product and operations teams.