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 resolution of complex technical incidents for Thought Machine's cloud-native banking platform, supporting both SaaS and self-hosted deployments of Vault. The engineer will drive improvements in observability, automation, and support processes while collaborating closely with engineering and client teams. It requires deep technical expertise in cloud infrastructure, distributed systems, and incident leadership.
This role involves taking technical ownership of Microsoft cloud environments, initially focusing on internal systems before expanding into customer consultancy, solution design, and pre-sales. Responsibilities include advising on Microsoft cloud solutions, improving security and governance, and driving automation using Microsoft technologies.
Act as a Cloud Support Engineer providing 24/7 technical support for a cloud-native banking platform. Diagnose and triage infrastructure, platform, and application-level issues using observability tools, manage incident resolution, and support clients through product installation, upgrades, and production rollouts. Collaborate with engineering teams to resolve incidents and improve system reliability.
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, building, and supporting scalable AWS cloud infrastructure, establishing best practices, and leading the development of a greenfield AWS environment. You will work closely with Azure engineers in a multi-cloud setting, provide technical leadership, and mentor junior engineers.
This role involves owning the fabric operations of NVIDIA's Cloud Partner (NCP) fleets, including NVLink partition management, switch software and firmware lifecycle, and fabric validation. You will work closely with customers, partners, and cross-functional teams to ensure reliable and efficient network operations in large GPU estates.
This role involves owning the fabric operations of NVIDIA's Cloud Partner (NCP) fleets, including NVLink partition management, switch software and firmware lifecycle, and fabric validation. You will work closely with customers, partners, and cross-functional teams to ensure reliable and high-performance GPU clusters.
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 leading the development of AWS capabilities, designing and building secure cloud infrastructure, establishing governance frameworks, and driving automation. You will act as the AWS subject matter expert, collaborate with stakeholders, and mentor junior engineers.
This role involves designing and building scalable development and production platforms that power OpenAI's core products like ChatGPT and the API. The engineer will work on Kubernetes clusters, cloud abstractions, networking, and infrastructure deployment systems, ensuring reliability, security, and scalability. The position includes on-call responsibilities and emphasizes a culture of inclusion, safety, and technical excellence in a fast-paced environment.
Design and build scalable cloud-based detection systems that process billions of events daily to identify sophisticated threats across multi-cloud environments. Work closely with security researchers to translate threat intelligence into automated, real-time detection capabilities using distributed systems and data engineering techniques. Develop and optimize components like custom query languages, event orchestration, and correlation engines within a modular, AI-native security platform.
Work on state-of-the-art automation systems in a 24/7 Customer Fulfilment Centre, resolving critical technical issues and driving proactive maintenance and improvements. Focus on conveyor networks, lifts, cranes, and robotics within a high-performance grocery logistics environment. Emphasis on safety, technical excellence, and operational reliability in a fast-paced setting.
This role involves maintaining and troubleshooting automated systems in Ocado's highly advanced Customer Fulfilment Centre. The Engineering Technician will perform reactive and planned maintenance, diagnose engineering faults, and contribute to improvement projects in a 24/7 operational environment. It requires hands-on technical skills and comfort working with automation hardware, software, and control systems.
This role involves building backend infrastructure and workflows for secure, AI-driven security operations. You will work closely with customers, design APIs, orchestrate long-running tasks, and ensure production quality and security.
This role involves designing, developing, and deploying AI/ML applications using Python, PyTorch, and GCP. You will build and integrate generative AI solutions, containerize and serve machine learning models, and implement CI/CD pipelines and model monitoring. Collaboration with engineering teams and stakeholders is key.
