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 building and owning core platform capabilities, developing full stack applications using Python, React, and TypeScript, and integrating AI and LLM-powered workflows into production environments. You will collaborate closely with Product Managers, Data Scientists, and business stakeholders to translate ambiguous business problems into scalable software solutions.
As a Machine Learning Engineer in Delivery, you will work closely with customers and internal teams to design, build, and test reliable, scalable ML pipelines. You will deploy production-grade tools, manipulate 3D data, and integrate models with simulations, traveling to customer sites for on-site collaboration.
As a Deployment Strategist, you will build and maintain relationships with key customer stakeholders, understand their engineering challenges, and translate them into product opportunities. You will own the customer onboarding journey, support delivery teams, and identify new areas for growth and innovation using PhysicsX's AI solutions.
This role involves leading end-to-end technical program delivery for AI deployments within UK public sector and defence organisations. The individual will act as a bridge between Cohere’s advanced AI capabilities and government stakeholders, managing complex procurement, security, compliance, and integration requirements. Success requires navigating air-gapped environments, high-stakes governance, and multi-team coordination to ensure responsible, secure, and scalable AI adoption.
Build and refine reinforcement learning environments to train and evaluate AI agents for enterprise applications. Design tasks, synthetic data pipelines, and verifiers while collaborating with modeling and product teams to close capability gaps. Work in a security-first AI company with a focus on measurable agentic performance and scalable evaluation systems.
This role involves building and scaling systems to train highly capable AI agents and deploying them to millions of users. You will work on optimizing large-scale compute clusters, developing APIs, and collaborating with research teams to push the boundaries of AI infrastructure.
This role involves designing, building, and delivering high-quality solutions to complex problems using Scala and functional programming. You will work on the Quantexa Platform, which processes and analyzes large volumes of data to detect anomalous and suspicious activity, and collaborate with a diverse, global team.
As a Research Engineer at ElevenLabs, you will work on the cutting edge of audio AI, training and improving state-of-the-art models, and designing rigorous benchmarks to evaluate model performance. You will collaborate with a high-velocity, impact-driven team that values excellence and innovation.
This role involves working with the Music team to transform research breakthroughs into production-ready APIs and creative tools. Responsibilities include building backend systems, collaborating with research and go-to-market teams, and occasionally engaging with customers on technical calls. The role requires a strong full-stack engineering background with a focus on backend development, product decomposition skills, and a passion for music and AI.
