242 jobs for “leader”
CrowdStrike Spain €55,500 – €85,250 pa
Partner-facing solution architect bridging CrowdStrike and its integration partner ecosystem across Europe. Drives technical demos, proof-of-value execution, RFI/RFP responses, joint selling motions, and designs/validates integrations on the Falcon Platform. Also builds demo environments, documents reference architectures, and explores agentic AI to improve partner onboarding.
CrowdStrike United Kingdom €55,500 – €85,250 pa
Serves as the technical bridge between CrowdStrike and its Integration Partner ecosystem, driving design, delivery and go-to-market of integrations on the Falcon Platform. Acts as a sales engineer for partner activity, running demos, proof-of-value execution and RFI/RFP responses while building demo environments and reference architectures. Involves partner enablement, public speaking at conferences, and applying AI-assisted tooling to scale low-touch onboarding.
Palo Alto Networks Paris, France
Designs and plans Idira privileged-account security solutions for customers, coordinating with implementation, sales and product teams to ensure architectures meet standards and are executed as planned. Acts as a technical expert advising on best practices, risk and business impact while managing the full customer journey and escalations.
Faculty London
Senior leadership role owning the technical strategy for AI safety, setting research directions across alignment, interpretability and robustness, and leading a new R&D team. Involves red-teaming and evaluations for frontier labs and national safety institutes, plus external thought leadership and cross-functional work with commercial teams.
Faculty London
Build and lead a Professional Services practice, shaping go-to-market strategy and leading complex AI transformation programmes for major firms. Act as a strategic advisor to C-suite leaders, driving commercial growth and guiding multidisciplinary teams of engineers and data scientists. Focus on agentic AI in regulated, knowledge-work-heavy sectors.
NVIDIA France
Serve as the first line of technical expertise between NVIDIA, hyperscaler partners and end-customers, with a primary focus on the Google Cloud (GCP) partnership. Day to day involves proof-of-concept demonstrations, optimising GPU-accelerated training and inference pipelines, and engaging developers, researchers and technical executives to evangelise accelerated computing and Generative AI.
NVIDIA Cambridge
Serve as the primary technical contact for academic and research partners, driving adoption of NVIDIA's accelerated computing and AI stack. Work directly with labs and faculty on large language model workloads, integrating frameworks and libraries into research projects. Deliver hands-on training, workshops and lectures, and track emerging research trends to shape prototype solutions.
Scale AI United Kingdom
Finance experts design and evaluate complex financial scenarios—valuation, forecasting, risk assessment and equity research—to test and improve generative AI models, giving detailed feedback on outputs for market relevance and compliance. Fellows may co-author research publications with Scale's team and work flexible 10–40 hour weeks within an interdisciplinary network.
Scale AI United Kingdom
Fellows design complex, domain-specific problems and datasets to rigorously evaluate generative AI models, then provide expert interpretation to improve their accuracy and reasoning. They collaborate with partner AI labs and Scale's research team, potentially co-authoring technical reports and benchmarks. Work is project-based within an interdisciplinary network of academics, with flexible 10–40 hour weeks.
Harnham - Data and Analytics Recruitment London £100,000 – £120,000 pa
Sits within a private equity firm's value creation function, designing and building scalable data platforms and architecture for portfolio companies. Works hands-on with SQL and Python to establish data engineering foundations for analytics and AI-ready environments, while advising C-suite stakeholders across varied data maturity levels and technology stacks.
eFinancialCareers London
Lead the build-out of a hedge fund's machine learning function, defining research strategy and hiring a team of ML researchers and engineers. Directs work in deep learning, reinforcement learning, probabilistic and time-series modelling, and generative AI, partnering with quant and investment teams on alpha generation, forecasting, portfolio construction, risk and execution. Combines hands-on technical direction with strategic leadership.
eFinancialCareers London £92,000 – £138,000 pa
Leads end-to-end delivery of enterprise AI platform capabilities, ensuring secure and compliant implementation aligned with AI governance and enterprise architecture. Works across technology, business, risk and vendor teams to take AI initiatives from concept to production, managing roadmaps, budgets, dependencies and stakeholder communications in a regulated banking environment.
Isomorphic Labs Lausanne, Switzerland
Architect and secure an AI-first drug discovery platform, reporting to the CISO. You will build AI-specific risk frameworks, protect model artifacts, deploy LLM and agentic guardrails, and lead AI security incident response across distributed training and inference infrastructure.
Isomorphic Labs London
Lead and contribute to core machine learning research applying large language models to drug discovery, developing and refining LLM-driven approaches across biology and chemistry problems. Work spans post-training, reasoning, test-time scaling, tool-use, alignment, agents, reinforcement learning and fine-tuning, with model training and inference engineering at scale. Interdisciplinary collaboration with research scientists and engineers, plus technical mentorship and project leadership depending on experience.
Signal AI London
Full-stack engineer owning revenue-critical products end to end, from problem discovery with research, design and product through to production. Day to day involves building UIs and data visualisations, large-scale distributed services, AWS infrastructure and observability, with heavy pair programming and AI-assisted development using tools like Claude Code.
