This role involves conducting cutting-edge research in AI and machine learning, developing innovative graduate content, and contributing to undergraduate teaching. The appointee will build a world-class team, secure research funding, and collaborate across disciplines.
This role involves working with customers to build and productionize data and AI solutions using the Databricks platform. Responsibilities include leading architecture and design decisions, implementing end-to-end systems, and guiding strategic big data projects. The role requires deep expertise in data engineering, cloud ecosystems, and distributed computing, with a focus on delivering measurable business impact.
This role involves gathering, verifying, and maintaining prospect and customer data to support business development and sales activities. The researcher will use AI tools, CRM systems, and market intelligence to identify new commercial opportunities and improve data quality. Collaboration with marketing and sales teams is key to supporting lead generation and strategic initiatives.
The role involves providing academic leadership in Digital Health, AI, and Society, with a focus on establishing institutional capability in these areas within medicine. The postholder will also contribute to a university-wide initiative exploring the impact of AI on learning, knowledge creation, and professional development.
This role involves managing and optimizing 7 global websites for a leading international charity, focusing on SEO, content strategy, and AI search optimization. Responsibilities include improving user journeys, conducting technical audits, and creating high-performing digital content to drive organic growth and donations.
This role involves investigating business requirements, translating them into system and process improvements, and coordinating projects from start to finish. You will work closely with senior management and technical teams to implement and embed automation and AI solutions, ensuring they meet business needs and are adopted effectively.
As a Machine Learning Team Lead, you will guide a team of ML engineers in developing and deploying cutting-edge speech recognition models. You will mentor the team, ensure robust and scalable solutions, and collaborate cross-functionally to align with business objectives.
As a Machine Learning Team Lead, you will guide a team of ML engineers in developing and deploying cutting-edge speech recognition models. You will ensure robust and scalable solutions, mentor team members, and collaborate cross-functionally to align with business objectives.
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.
School of Computing and EngineeringCompetitive Remuneration SalaryPermanentFull-time We are seeking to appoint a Professor in Artificial Intelligence at the University of Huddersfield. This strategic appointment offers the opportunity to shape future research, strengthen preparations for REF 2029 and contribute to...
This role involves developing and applying novel statistical and machine learning methods to large-scale genomic and health data. You will work on projects related to human genetics and evolution, focusing on areas like genomic language models, federated learning, and multi-trait methods. Responsibilities include implementing reproducible research software, evaluating statistical properties, and collaborating with researchers.
The role involves contributing to world-leading AI research and teaching at the University of Bristol. Responsibilities include publishing in top academic venues, applying for external funding, and delivering high-quality undergraduate and postgraduate courses in AI and Computer Science.
The role involves developing advanced AI and remote sensing methods for forest monitoring and illegal logging detection, focusing on open-set recognition and deep learning frameworks for spatio-spectral-temporal UAV imagery. The postholder will work across the research pipeline, from data processing to model deployment, and contribute to an interdisciplinary project involving computer vision, machine learning, and geospatial analysis.
This role involves designing, building, and improving machine learning models for agentic search, recommendation engines, and personalisation. You'll work with large datasets using Python, SQL, and Snowflake, and collaborate with Data, Product, and Engineering teams to enhance the customer discovery experience.
Design and maintain large-scale, distributed backend systems for automated in-store order fulfilment, integrating AI tools into development workflows. Lead technical initiatives from design to deployment while collaborating with product and business teams in an agile environment. Work with cloud infrastructure and modern Scala/Java ecosystems to support high-availability systems processing hundreds of thousands of orders weekly.
