Design and develop AI-powered applications, automation solutions, and intelligent agents using Microsoft Copilot Studio, Azure AI, and Power Platform. Develop proof-of-concepts, Python-based services, and integrations to automate workflows and improve efficiency within a higher education environment. Collaborate with stakeholders and development teams to implement AI solutions across the organisation.
This role involves developing and maintaining Python-based NLP and document-processing services for a live SaaS platform. The engineer will extract and process information from complex documents like PDFs and Word files using both traditional NLP techniques and modern LLMs. The position emphasizes practical problem-solving in a production environment, working closely with a senior specialist before taking on greater ownership.
This role involves developing and maintaining Python-based NLP services that extract and process information from complex documents such as PDFs and Word files. The engineer will work on live production systems, debugging and enhancing document-processing pipelines using both traditional NLP techniques and modern LLMs. The position emphasizes practical engineering in a customer-facing SaaS environment, with a focus on robust, scalable solutions for real-world document intelligence.
Design and deploy machine learning and generative AI systems for national security applications, transitioning models from experimentation to production using AWS-based MLOps and LLMOps platforms. Develop scalable ML pipelines, LLM-powered capabilities, and robust monitoring systems while ensuring compliance with governance and responsible AI principles. Collaborate with cross-functional teams and mentor junior engineers in a high-impact, security-cleared environment.
This role involves conducting original quantitative research to develop statistical and mathematical models for trading, using large, noisy datasets and proprietary infrastructure processing billions of market events daily. The scientist will translate research into production code, peer-review ideas, and explore unconventional approaches with potential investment value. The position emphasizes deep mathematical problem-solving, programming rigor, and collaboration in a research-driven, intellectually autonomous environment.
Design and maintain large-scale, high-availability distributed backend systems for automated in-store order fulfilment. Integrate AI tools like GitHub Copilot and Gemini into development workflows to improve code quality and efficiency. Collaborate with product and business teams in an agile environment, contribute to architectural vision, and support production systems through on-call rotation while mentoring team members.
Design and maintain large-scale, high-availability distributed backend systems for automated in-store order fulfilment. Integrate AI tools into development workflows, lead technical initiatives, and collaborate with product teams in an agile environment. Work across the full software lifecycle with a focus on cloud infrastructure, system resilience, and architectural evolution.
Develop and deploy advanced machine learning and AI solutions for national security challenges in collaboration with cross-disciplinary teams. Lead technical projects, build production-ready systems, and mentor junior staff. Work involves rapid prototyping, deploying scalable models, and translating research into operational capabilities with real-world impact.
Design and build data pipelines from ingestion through transformation and modelling in a Microsoft-centric environment. Work across the full data lifecycle to support reporting, analytics, and AI initiatives, with opportunities to influence technical standards and develop Power BI solutions. Collaborate with stakeholders to translate business needs into scalable data architectures.
This role involves working in a growing data and analytics team, delivering insights and analysis that support data-driven marketing and commercial decisions. You will build and apply predictive models, prepare and manipulate data, and translate findings into clear stories for various stakeholders.
This role involves supporting financial reporting, compliance, and company secretarial duties while leading technology and AI-driven process improvements across finance. The individual will champion emerging technologies, automate workflows, and enhance reporting systems, acting as a bridge between technical accounting and innovation. It's a hybrid position offering strategic project ownership within a private office environment.
Develop and maintain full-stack software solutions for ELI, an AI-driven product transforming insurance claims handling. Work across C#, JavaScript/TypeScript, Angular, and Node.js, collaborating with stakeholders to deliver secure, scalable applications. Contribute to innovation in the insurtech and legal tech space within a growing tech subsidiary.
AWS Data Platform Architect - London (Hybrid) - AWS - Databricks - Up to £95,000We're working with a leading technology consultancy that is investing heavily in its Data & AI practice and looking to add an experienced AWS Data Platform...
Take the first step in your technical career as a Junior AI Developer, working with experienced consultants to build practical AI solutions for clients across the public and private sectors.Junior AI DeveloperHome working, with requirements to work in the office...
This role involves leading the development of data science initiatives from the ground up, with a focus on building predictive models for customer churn and complaint propensity. The Data Scientist will own the full lifecycle of model development, from design to production, and establish scalable, repeatable methodologies. The position offers autonomy in shaping the function within a subscription-based service business.
