Top Tech Jobs & Startup Jobs in London

Edit and maintain UK legislation content across print and digital publications by monitoring legal developments, adding annotations, preparing proofs, meeting production deadlines, responding to stakeholder queries, participating in quality reviews, and supporting operational improvements and training.

Drive new partner sales and revenue growth in DACH by prospecting, building pipeline, managing territory plans, converting leads to closed contracts, forecasting, and supporting onboarding and retention in collaboration with presales and partner success teams.

Lead technical data science work and best practices, mentor data scientists, design and prototype advanced analytics and generative AI solutions, collaborate with product and engineering, and help deploy production machine learning systems for aviation analytics.

Manage a portfolio of strategic partners to drive adoption, engagement, retention, and growth. Coordinate onboarding, enablement, QBRs, and partner requests. Support upsell/cross-sell opportunities, prepare reports and presentations, and act as liaison between partners and internal teams.

Analyze and interpret complex datasets to support business decisions; perform data validation, profiling, reconciliation and root-cause analysis; develop SQL queries and Power BI reports; present insights to stakeholders; support data onboarding, automation/AI initiatives and process improvements to enhance data quality and operational efficiency.

Design and validate agentic AI capabilities for Protege in PatentSight using ML, NLP, and LLMs. Build retrieval and hybrid search strategies, run experiments, evaluate models, analyze large IP datasets, and translate results into product recommendations while collaborating with engineers, product, and IP experts.

Design, experiment, and validate NLP/LLM and generative AI solutions for patent intelligence. Develop agentic workflows, retrieval strategies (hybrid semantic+lexical), evaluation metrics, and large-scale text processing methods. Partner with product and engineering to translate validated models into scalable, customer-facing features and deliver measurable business impact.

Analyse and interpret complex insurance data to support business decisions, perform data validation and profiling, develop SQL queries and Power BI reports, investigate and remediate data quality issues, collaborate with stakeholders, and support data onboarding and process improvements including automation/AI.

Lead identification, development, and global deployment of AI and automation solutions to optimize forms and precedents content operations. Prioritize opportunities, collaborate with cross-functional teams, ensure governance and quality, integrate solutions, report outcomes to leadership, and drive continuous improvement and responsible AI practices.

Design, build, and maintain components of the LNIP intelligence core platform, including a semantic search API and internal data curation tool. Implement secure coding standards, unit testing, code reviews, and use agentic development tools responsibly to accelerate development while ensuring quality.