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 leading the Oracle EPM Cloud platform team, ensuring service availability, performance, and data integrity. You will manage the EPM roadmap, change processes, and controls, while guiding the integration of EPM with evolving data and automation tools.
This role involves using advanced analytics to optimise last-mile delivery operations on the Ocado Smart Platform. The Senior Data Analyst will build forecasting and routing models, develop dashboards in Looker, and collaborate with technology and operations teams to improve delivery efficiency and customer experience. The position also includes mentoring team members and supporting international partners with data-driven strategies.
Develops high-fidelity electromagnetic simulations across low- and high-frequency domains, focusing on semiconductor, aerospace, and automotive applications. Builds and validates complex EM models, automates simulation workflows, and collaborates with data science teams to train AI surrogates. Works on-site with customers to solve engineering challenges using advanced simulation and AI-driven tools.
This PhD studentship focuses on developing a computational framework that combines computer vision, computer graphics, and machine learning to improve the design and simulation of camera lenses. The project aims to create a system for both forward simulation and inverse design, accelerating the lens design process and enhancing image quality.
This role involves assessing and implementing AI and Agentic AI technologies to enhance data security and operational effectiveness. The consultant will work closely with the CTO organization and security teams to identify risks, develop control frameworks, and ensure secure AI adoption.
This PhD project focuses on developing a rigorous empirical framework to assess the security robustness, failure modes, and operational risks of AI decision engines in cyber-physical systems. The research will provide empirical evidence to support informed deployment decisions in safety-critical industries like transportation, energy, and manufacturing.
This role involves hands-on work in both mechanical and electronics engineering, from CAD design and electronics development to prototyping, testing, and production. You'll work closely with senior engineers and contribute to the full product development lifecycle of an innovative AI-enabled consumer product.
As a Sales Development Representative, you will engage with new prospective customers, identify business opportunities, and articulate Darktrace's value proposition. You will develop relationships with key decision-makers, meet sales targets, and collaborate closely with marketing and sales teams to drive business growth.
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.
Design and build automated test frameworks across API, UI, and integration layers, embedded within CI/CD pipelines. Collaborate closely with engineering teams to implement shift-left testing, improve code quality, and influence test strategy. Work in a modern, containerised environment with a focus on scalability, reliability, and proactive quality assurance.
This role involves hands-on technical work in incident detection, analysis, and response using CrowdStrike's Falcon platform. You will develop and improve processes, produce high-quality reports, and provide consulting support to clients, contributing to the company's mission of stopping breaches.
This role involves building and deploying machine learning models to solve business challenges in financial services, collaborating with data engineering and analytics teams to create a unified AI platform, and translating complex data into actionable insights. The position requires strong Python skills, experience with cloud environments, and the ability to communicate technical concepts clearly.
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.
This role involves leading end-to-end data science projects to enhance customer personalisation for major retail clients like Tesco UK. You'll design and deploy machine learning solutions using large-scale transactional data, conduct A/B testing, and translate complex insights for both technical and business audiences. The role emphasizes innovation, collaboration with high-impact teams, and deploying scalable data products in a fast-paced environment.
Lead the development and deployment of deep learning models to enhance underwriting systems, focusing on non-traditional and multi-modal data. Work closely with stakeholders to translate R&D into production solutions, using advanced neural networks like LSTMs, RNNs, and Transformers. Operate in a collaborative, innovation-driven environment with strong support for professional growth and technical excellence.
