Top Tech Jobs & Startup Jobs in London

Design and build ML, NLP, and generative AI systems for scientific discovery and knowledge extraction. Work with large heterogeneous scientific datasets to develop semantic search, entity extraction, QA, summarization, embeddings, and production-ready models. Implement model evaluation, fine-tuning, deployment, monitoring, drift detection, and scalable data pipelines while collaborating across engineering, product, UX, and research teams.

Design and deliver production-ready AI, NLP, and generative-AI solutions (including LLMs and RAG) for knowledge discovery. Build retrieval, ranking, recommendation, and decision-support systems, integrate scientific metadata and ontologies, establish evaluation and monitoring, write production Python code, and provide technical leadership and mentoring.

Drive new commercial opportunities for Reaxys by generating leads, engaging prospects, and supporting deal progression. Represent the product at industry events, share market insights and identify whitespace, and collaborate with sales, product, and marketing to shape GTM initiatives and proposals.

Define and lead AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI. Lead and develop teams to deliver production-ready AI systems (LLMs, RAG, semantic search, embeddings), establish evaluation and responsible AI frameworks, and influence cross-functional stakeholders to align roadmaps and drive measurable product and business outcomes.

Identify and qualify new business opportunities through high-volume outreach (phone, email, LinkedIn), research targets, engage prospects, document pre-sales information, coordinate with marketing and account executives, and build a pipeline of qualified meetings and demos.

The Sales Training Specialist II role involves project management and design of sales training programs, coaching sales staff, and utilizing learning technologies to enhance sales effectiveness.

Lead the Learning & Performance team to design and implement a global sales and customer success curriculum, ensuring alignment with business strategies and measurable performance outcomes.

The Senior Software Engineer II will design and implement generative AI services, drive architectural standards, mentor engineers, and collaborate across teams to enhance data solutions.