This role involves hands-on technical work in incident handling, malware analysis, and remediation across various platforms. The Sr. Analyst will develop and improve detection processes, produce high-quality reports, and provide consulting support to clients using CrowdStrike's Falcon platform.
This role involves leading research strategy and technical innovation in generative AI for cybersecurity, focusing on applying large language models and deep learning to detect and prevent breaches. The senior data scientist will architect production-grade AI systems at scale, mentor teams, and shape AI strategy through cross-functional collaboration. Work includes implementing cutting-edge AI research, optimizing GPU usage, and establishing evaluation frameworks within an AI-first security platform.
This role involves leading the technical strategy and end-to-end delivery of AI and machine learning solutions within a global professional services firm. The Senior AI Engineer will design and implement scalable AI systems, manage a team of engineers, and collaborate with enterprise architecture and business stakeholders to align AI initiatives with business outcomes. The position requires deep expertise in ML development, cloud platforms, and AI frameworks, with a focus on innovation, governance, and integration across the firm’s technology landscape.
We have an exciting opportunity for a Senior AI Engineer (Manager) to join our IT (EA & Technology Platforms) team, based in A&O Shearman's Belfast or London office.What you will doReporting to the AI Platform Owner, this role will be...
Lead end-to-end technical delivery of custom AI agent solutions for enterprise clients in regulated industries, managing product scoping, stakeholder engagement, and deployment execution. Translate business objectives into technical roadmaps, coordinate cross-functional teams, and define measurable impact while navigating compliance and organizational complexity. Help build scalable deployment playbooks and feed real-world insights back into product and research.
This role involves serving as the primary technical advisor for life sciences partners, translating scientific workflows into impactful AI solutions using Claude. The candidate will design and lead cohort-based accelerators, develop scalable technical content, and bridge deployment challenges between partners and product teams to advance AI adoption in research and biotech.
This role involves leading a team of experienced engineers to develop and maintain core machine learning infrastructure, including distributed model training, LLM hosting, and scalable deployment systems. You will own the technical direction and drive the integration of advanced ML capabilities into high-stakes systems, working in a deeply technical environment.
Leads Data & AI initiatives in a consultancy, combining technical architecture, client engagement, and strategic advisory for public sector and healthcare digital transformation. Designs scalable data platforms, guides AI adoption, and mentors delivery teams. Involves pre-sales, solution design, and innovation in secure, regulated environments.
The AI Forward Deployed Engineer role involves developing cutting-edge GenAI solutions, rolling out production-grade applications, and serving as a technical advisor to customers. You will collaborate with product and engineering teams to shape strategic priorities and present at industry conferences.
A Senior Machine Learning Engineer in the Smarties team at Ocado will own the full ML lifecycle for production systems powering intelligent features like recommendations, search ranking, and customer personalisation. The role focuses on building scalable, reliable ML infrastructure while improving data quality and enabling product teams to integrate AI capabilities self-serve. Work spans MLOps, model design, experimentation, and cross-functional collaboration within a high-engineering-culture environment.
The Delivery Solutions Architect acts as a post-sale technical lead, driving customer success by guiding complex clients through onboarding, adoption, and production of Databricks workloads. This role combines technical leadership with strategic planning, coordinating across internal teams and customer stakeholders to ensure successful implementation and value realisation of the Databricks platform. It involves resolving escalations, optimising usage, and aligning technical execution with business outcomes.
This role involves leading the design and implementation of complex, cloud-native systems within a high-growth fintech environment. The engineer will drive technical direction, mentor senior teams, and solve ambiguous, large-scale problems across distributed services. Emphasis is placed on operational excellence, cross-team collaboration, and advancing Thought Machine's core banking platform through innovation in architecture and developer practices.
This role involves leading the design and implementation of scalable, high-impact machine learning systems within complex enterprise and government environments, particularly in the defence sector. The Principal Machine Learning Engineer will act as a technical authority, shaping architectural direction, solving cross-project challenges, and mentoring engineering teams. Work includes strategic innovation, system integration, and hands-on technical leadership in ethical, real-world AI applications.
Lead high-impact AI safety projects by designing novel evaluation frameworks and robust software architectures for frontier AI labs. Mentor technical team members, ensure scientific rigor, and contribute to thought leadership through research and open-source contributions. Work at the intersection of national security and cutting-edge AI to advance responsible deployment.
This role involves leading the design and implementation of complex, cloud-native banking systems, driving technical direction across engineering teams, and mentoring senior engineers. The engineer will solve highly ambiguous problems, improve operational processes across production environments, and help shape company-wide standards in security, scalability, and developer velocity using modern technologies including AI tools. Collaboration with leadership and cross-functional stakeholders is key to delivering long-term platform vision.
