This role involves serving as a technical team member on incident response engagements, developing and using new methods to hunt for bad actors, and performing host and network-based forensics across various platforms. You will support the production of high-quality reports and recommendations for key stakeholders, including customer management and legal counsel.
This role involves leading incident response engagements, developing new methods for threat hunting, and performing forensic analysis across various platforms. You will work on high-profile cases, produce detailed reports, and contribute to industry thought leadership.
This role involves working closely with clients to turn AI ideas into working solutions, building proofs of concept, writing code, and guiding projects towards live deployment. You will also coordinate and lead technical delivery teams from partner companies, using AI tools like Claude Code and working with major cloud providers.
AI Solutions Engineer, Microsoft Tech Stack, Azure DevOps, Co-pilot Studio, Professional Services, City of LondonAI Solutions Engineer required to work for a Professional Services business based in the City of London. This will be 3 days in the office per...
This role involves owning full-solution validation, minimizing time to production, and ensuring Day 2 stability for large-scale GPU clusters. You will engage with customers, partners, and cross-functional teams to architect and guide the implementation of complex infrastructure projects, focusing on Kubernetes, HPC, and AI workloads.
This role involves owning full-solution validation, minimizing time to production, and ensuring Day 2 stability for large-scale GPU clusters. You will work closely with customers, partners, and cross-functional teams to architect, implement, and optimize Kubernetes-based platforms and automation, focusing on open-source and heterogeneous environments.
This role involves leading complex cloud-native security engagements with customers, designing and implementing secure solutions in Kubernetes and multi-cloud environments, and acting as a trusted technical advisor. The architect will guide customers through identity, secrets management, and workload security challenges while contributing to internal initiatives and mentoring peers. Work spans high-level strategy and hands-on configuration across open-source and cloud platforms.
This role involves designing and optimising transaction monitoring systems to detect financial crime, using statistical and machine learning models. The individual will analyse data from multiple sources, improve detection accuracy, and ensure compliance with regulatory standards across Barclays UK and International. Collaboration with technical and non-technical stakeholders is key to shaping strategy and enhancing financial crime controls.
This role involves designing and architecting enterprise-scale AI, data, and automation solutions, working closely with customers to translate their needs into technical designs and implementations. You will focus on generative AI, RAG, vector databases, and multi-agent systems, using platforms like OpenAI, Azure OpenAI, and Google Gemini.
You will develop high-fidelity computational plasma models for semiconductor manufacturing processes such as etching and deposition, working directly with customers on-site to solve niche engineering challenges. You'll integrate simulations with AI workflows using tools like COMSOL and CFD-ACE+, validate models against real-world data, and collaborate with data scientists and ML engineers. The role involves global travel and combines technical leadership with mentoring junior colleagues.
This PhD project focuses on developing medium-voltage Solid-State Transformers (SSTs) for hyperscale AI data centres and net-zero grids. You will investigate high-frequency power conversion, design compact magnetic links, and validate your work through multi-physics modelling and experimental testing in a high-voltage lab.
As a Senior CFD Engineer, you will work closely with Data Scientists and Machine Learning Engineers to deliver high-fidelity simulations and address complex engineering challenges. Your role involves building multi-physics models, automating simulation pipelines, and collaborating with customers to integrate AI-driven solutions, while traveling globally to support on-site projects.
This role involves designing, building, and operating resilient cloud infrastructure on AWS, developing CI/CD pipelines, and implementing infrastructure-as-code. You'll work with event-driven architectures, identity and access management, and data platforms, ensuring secure and scalable solutions for public sector services.
This role involves building and deploying AI-driven solutions to extract structured data from documents, automate workflows, and enhance knowledge retrieval. You will work closely with the CTO and Chief Digital Officer to transform the firm's operations through technology, focusing on precision and user adoption.
This role involves analysing business processes, translating requirements into technical solutions, and designing applications, workflows, and integrations using low-code, workflow, automation, and AI platforms. You'll work closely with stakeholders to evaluate solution options, manage technical trade-offs, and ensure solutions meet governance and security standards.
