As a Senior AI Engineer at PoliceAI, you will lead the design, development, and deployment of AI-enabled products, translating policing needs into technical solutions. You will work with multidisciplinary teams to build secure, maintainable, and scalable services, and support the testing, evaluation, and validation of AI products.
As Head of AI, you will lead the development and implementation of AI strategies, governance, and capabilities at LPPA, a leading pension administration company. You will work closely with the CTO and executive team to identify and deliver AI opportunities that enhance operational efficiency, service quality, and member outcomes. Key responsibilities include building the AI team, establishing governance frameworks, and fostering AI adoption across the organization.
This role involves developing and maintaining C# applications, governing Azure DevOps pipelines, and collaborating with a team of 5 developers and a Solution Architect. The focus is on AI and Greenfield projects, with responsibilities including debugging, testing, and optimizing code, as well as providing technical support and ensuring best practices.
This role involves monitoring and analyzing security alerts in real time, conducting incident response across Windows, Mac, and Linux environments, and performing malware analysis to protect customers from advanced threats. The analyst will lead remediation efforts, improve detection processes, and mentor junior team members. The position emphasizes hands-on technical work, customer communication, and contribution to thought leadership through public speaking and content creation.
This role involves monitoring and analyzing security alerts using the CrowdStrike platform, conducting incident response across Windows, Mac, and Linux systems, and performing malware analysis and remediation. The analyst will contribute to a virtual security operations center, providing real-time threat detection and response for global customers while improving detection and countermeasure processes. The position emphasizes technical analysis, customer communication, and thought leadership in cybersecurity.
This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc....
The Customer Director will lead strategic account growth and client relationships within Faculty AI's Life Sciences division, overseeing delivery of AI solutions for major pharma, MedTech, and research partners. This role involves shaping commercial strategy, mentoring cross-functional teams, and translating complex data concepts into impactful business outcomes. The role emphasizes thought leadership, high-level stakeholder engagement, and driving AI-driven transformation in healthcare.
Leads AI transformation programmes for professional services firms, shaping go-to-market strategy and building C-suite relationships. Guides multidisciplinary teams in delivering production-grade AI solutions that automate complex knowledge work and drive operational efficiency. Combines deep technical understanding with commercial acumen to grow Faculty’s practice in a regulated, high-impact sector.
Develop and refine vehicle trajectory and motion controllers that translate AI-driven decisions into safe, smooth vehicle movement across diverse platforms. Work on real-time control systems using C++, integrating with AI components and validating performance through simulation and on-road testing. Collaborate across teams to support new vehicle platforms and autonomous driving features.
This role involves leading a small development team, shaping delivery and engineering standards, and working with Product Managers to prioritize and allocate work. You will be hands-on with full-stack development using .NET, C#, Azure, and React, while also exploring emerging technologies like AI and machine learning.
This role involves leading a small development team, setting engineering standards, and delivering both strategic and tactical technology solutions. You will work with Product Managers and business teams to prioritize and allocate work, while also being hands-on with full-stack development using .NET, C#, Azure, and React. The role has a strong focus on AI-native engineering and modern DevOps practices.
A Computer Vision Engineer will lead high-impact AI initiatives in the defence sector, designing and deploying advanced computer vision systems that solve real-world challenges. The role involves technical leadership, mentoring, shaping strategic capability, and contributing to business development through cutting-edge research and production deployment. Work spans on-site client collaboration and flexible UK-based remote or office work, with a focus on ethical, reliable AI in sensitive environments.
This role involves designing and optimizing optical systems for AI hardware products, including simulations, component selection, and prototype testing. You will work on VIS, NIR, and FIR applications, with a focus on computer vision and machine vision systems.
This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc....
This role involves leading the Customer Intelligence solution for Quantexa across EMEA, shaping the market strategy, and guiding large financial institutions and government agencies. Responsibilities include setting the direction, building market presence, and collaborating with marketing and sales teams.
This role involves developing high-fidelity multiphase CFD models for industrial applications in bioprocess and chemical engineering, integrating them with AI-driven simulation workflows. The engineer will work end-to-end on multi-physics simulations, from geometry and meshing to solver development and validation against experimental data. A key focus is automating and scaling CFD workflows to enable design optimisation and support machine learning pipelines in collaboration with clients across advanced industries.
This role involves developing high-fidelity multi-physics simulation models, particularly in multiphase CFD and coupled CFD-DEM, to support AI-driven engineering solutions. The engineer will work directly with customers across industries like aerospace, energy, and automotive to build and validate complex simulations, automate workflows, and generate data for machine learning. Key responsibilities include geometry processing, meshing, simulation, and optimisation using tools like Star-CCM+, OpenFOAM, or Fluent, alongside Python scripting and parametric CAD integration.
