Top Tech Jobs & Startup Jobs in London

Own M&A integration workstreams from pre-close planning through Day 1 and post-close execution. The role manages readiness, dependencies, risks, governance, reporting, stakeholder alignment, and change management across Finance, Legal, HR, Product, and Technology. It also contributes to integration frameworks, IMO processes, entity changes, migrations, reorganizations, and broader corporate initiatives while presenting updates to senior leadership.

The Senior HPC Cluster Engineer will optimize GPU clusters, troubleshoot InfiniBand networks, integrate new hardware, enhance automation systems, and manage GPU devices in HPC environments.

Own platform-level optimization for production LLM and VLM inference. Responsibilities include improving latency, throughput, memory efficiency, GPU utilization, reliability, quality, and cost; deploying and extending inference engines; building compression and acceleration workflows; developing benchmark and rollout frameworks; diagnosing performance bottlenecks; and providing technical direction across machine learning, GPU, infrastructure, research, product, and customer teams.

Build browser infrastructure and web access systems for an agentic search engine operating at internet scale. Research browser communication, fingerprinting, client verification, networking, JavaScript execution, and modern web technologies. Develop browser instrumentation, debugging, observability, and experimentation tooling, then translate technical research into reliable production systems.

Design, implement, and operate low-latency, high-throughput runtime services for an agentic search engine. Build and optimize query processing, retrieval orchestration, response assembly, observability, and production reliability under strict latency budgets. Improve CPU, memory, networking, data access, throughput, and cost efficiency while collaborating with indexing, machine learning, and product teams. Support experimentation through benchmarking and controlled rollouts.

Design and operate internet-scale crawling and content acquisition infrastructure for an agent-focused search engine. Build distributed crawlers, ingestion pipelines, schedulers, URL discovery and deduplication systems processing billions of URLs. Improve freshness, coverage, reliability, observability, and resource efficiency while collaborating with indexing and machine learning teams. The role requires strong backend and distributed systems expertise, production operations experience, and proficiency in Go or C++.

Develop and deploy machine learning models for retrieval, reranking, indexing, search relevance, crawling, and content understanding. Build large-scale embedding and retrieval systems, evaluation pipelines, and quality metrics for agent-native search. Integrate models into high-throughput production services while balancing latency, quality, and cost. Collaborate on architecture and product decisions involving search, retrieval, and LLM-based systems.

Manage and scale global People programs spanning performance management, change management, rewards, and people operations. Build plans, governance frameworks, timelines, and communications; coordinate cross-functional stakeholders; track milestones, dependencies, risks, and resources; resolve priority conflicts; and evaluate program outcomes. The role supports organizational growth, process improvement, and consistent delivery across multiple regions.

Perform intercompany accounting across international entities, including cost-plus calculations, cost allocations, journal entries, reconciliations, discrepancy resolution, period-end close support, reporting, and SOX-related internal controls. The role validates financial data, coordinates with local finance teams, investigates foreign exchange and posting differences, maintains documentation, and supports audits in a fast-changing post-IPO environment.

Lead applied research and system design for agent-native search: build multi-stage retrieval, ranking, and grounding methods for LLM-driven, iterative agent workflows; deploy high-throughput, low-latency production systems; define evaluation metrics; run experiments and mentor engineers.