Top Tech Jobs & Startup Jobs in London

Provide senior in-house legal counsel on intellectual property and data protection across jurisdictions: develop global IP strategy, support technology projects and startups, draft and negotiate IP/technology/privacy agreements, lead privacy compliance (GDPR, CCPA, SCCs), conduct IP due diligence, advise on AI/open-source risks, and partner with stakeholders to enable product commercialization and regulatory compliance.

As a Research Engineer, you will enhance LLM training performance, manage the training stack, and optimize multi-node pipelines for large-scale machine learning models.

Lead development and execution of B2B/enterprise marketing strategy worldwide. Plan and run digital campaigns, events, PR, and account-based marketing. Align with product, sales, customer success, and marketing automation to generate quality leads, enable sales, and coordinate content. Advocate for enterprise customers, collaborate on market research, and manage cross-functional initiatives to improve engagement and pipeline.

As a Principal Forward Deployed Engineer, you'll deploy JetBrains Central in enterprise environments, implement AI governance, mentor teams, and advise customers on AI-native development best practices.

Drive Hexana from MVP to scalable product by researching advanced user workflows, defining roadmaps, validating hypotheses, tracking competitor tooling, shaping monetization and go-to-market, and communicating strategy to stakeholders.

Design, build, and lead development of AppGlass features; develop AI-first tooling and automation; implement enterprise integrations and deployments across Kubernetes and cloud; and improve reliability, testing, performance, and security for production use.

Lead design and implementation of ML/LLM systems for ingestion, knowledge extraction, retrieval, and reasoning. Build datasets, metrics, pipelines, agentic retrieval and RAG solutions. Establish MLOps, orchestration, observability, and experiment tracking. Collaborate on research agenda, shape ML architecture, and hire and grow the ML team.

Lead the product vision and roadmap for the IntelliJ Scala plugin by understanding developer workflows, dogfooding features, running user research and metrics, coordinating with engineering and cross-functional teams, building reference projects, and delivering improvements in build systems, debugging, code insight, and tooling integration.

Develop and maintain SFT and RL post-training pipelines for multi-step coding agents, train and adapt LLMs for agent workflows, build evaluation and simulation environments, design metrics and evaluation frameworks, analyze results to improve models and datasets, and collaborate with research, product, and infra teams to ship models into JetBrains IDEs.

Ship AI product features combining engineering and ML; build and improve agent workflows; optimize latency, cost, and reliability; track AI research and turn it into product; build self-improving loops that run experiments and learn from feedback.