Top Tech Jobs & Startup Jobs in London

Lead product coaching and transformation across client engagements: drive outcome-focused product practices, discovery, prioritization, metrics-driven decisions, AI-enabled product workflows and prototypes, and upskill product organizations while ensuring responsible AI adoption and governance.

Lead platform engineering efforts to design, build, and operate Kubernetes-based cloud platform services. Develop secure production code, automate infrastructure and CI/CD, support production (you-build-it-you-run-it), drive reliability and security via IaC and policy-as-code, lead technical evaluations and communities of practice, and champion responsible AI-assisted engineering practices.

Design, develop, deploy, and maintain advanced AI products and data pipelines. Collaborate with engineers, data scientists, and product owners to deliver production-grade, secure, scalable code. Architect AI-enabled engineering workflows, improve SDLC automation, ensure compliance, and provide technical leadership and architecture governance.

Manage and grow relationships with IFAs, Wealth Managers and DFMs across the UK. Support senior sales team, drive new business, use CRM and sales tools, run client meetings, present investment solutions, and deepen client engagement through consultative advice and portfolio/market insights.

Prepare statutory financial statements and key disclosures for a UK regulated entity, support audits, maintain local ledgers, perform UK GAAP/IFRS technical analyses, drive control/process improvements, and collaborate across teams to meet regulatory deadlines.

Lead end-to-end low-code automation and process improvement for Custody operations: gather requirements, design solutions, build/test/deploy workflows, govern automation platforms, coach teams, quantify benefits via KPIs/OKRs, and support AI/document digitization efforts to improve efficiency and reduce risk.

Build AI-augmented migration tooling and agentic workflows to analyze legacy workloads, generate migration artifacts (Dockerfiles, Helm manifests, CI/CD), create reviewable PRs, and implement validation, rollback, and continuous verification. Partner with platform and migration teams, define reusable patterns, prompts, and evals, measure model output quality and human review load, and establish safe production practices for AI-driven migrations.

Lead DevSecOps architecture for CI/CD pipelines and cloud-native applications: embed automated security controls, champion IaC and policy-as-code, run threat modeling and architecture reviews, deploy preventive/detective guardrails, support audit/regulatory needs, and enable security-first culture using enterprise AI-assisted tooling.

Lead technology risk and controls activities: manage audits and remediation, maintain control standards, onboard tooling/telemetry, run application oversight governance, track KPIs/KRIs, support vulnerability management, produce executive risk reporting, and apply validated enterprise AI to accelerate risk workflows.

Build and operate agentic AI solutions for Client360: design, implement, test, deploy, and support services, workflows, integrations, and automation. Collaborate with architecture, engineering, platform, and operations to enable scalable, reliable, auditable agent-led workflows, contribute to CI/CD, monitoring, runbooks, KPIs, and risk/control-aligned delivery.