Top Tech Jobs & Startup Jobs in London

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.

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.

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.

Lead and evolve Kineto's visual brand across web, social, and product. Design web pages, social templates, motion and video content, and collaborate with product, marketing, and engineering to ensure brand consistency. Contribute to product design and communicate design decisions 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.

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.

Develop and maintain foundational Kotlin core libraries used by many developers; contribute to language features, tools, and specifications; participate on a design committee; become domain expert in CS topics; write design documents; focus on API design and performance engineering.

Design, train, and deploy large language models from scratch; convert business requirements into technical specs; collect and process pretraining/fine-tuning datasets; run distributed training on large GPU clusters; support and improve production ML subsystems and tooling.

Lead design and implementation of AI-native features for PyCharm and Python tooling. Architect integrations (MCP, agents), prototype and ship features, guide engineering decisions, evaluate AI tools/providers, and expose IntelliJ Platform capabilities to AI workflows while collaborating with product, ML, QA, and senior developers.

Lead the development of strategies to enhance brand recognition globally, oversee marketing campaigns, mentor a brand marketing team, and drive strategic partnerships.