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 developing and optimizing cutting-edge AI models at the intersection of machine learning and drug discovery. You'll work in a collaborative, interdisciplinary environment to translate research concepts into scalable, high-performance systems, focusing on foundational models like Transformers, GNNs, and Diffusion models. The position emphasizes innovation in computational biology and chemistry, with a strong focus on robust codebases, data pipelines, and full lifecycle ML development.
A Research Scientist will apply Large Language Models to drug discovery challenges, developing novel ML techniques and collaborating with interdisciplinary teams. The role involves pushing the boundaries of LLMs on biological and medical data, refining models, and contributing to a culture of innovation in AI-driven drug design.
The Data Analyst will manage and report on project data, maintain and expand Power BI dashboards, and support the team in data-driven decision-making. The role involves detailed analysis, forecasting, and enhancing data strategies for global projects.
This role involves delivering data and AI analytics solutions for financial services clients, with a strong focus on regulatory compliance, governance, and automation of audit processes. The consultant will assess AI models, implement data platforms, and advise on emerging standards like the EU AI Act. It requires a versatile, client-facing professional comfortable in fast-evolving technical and regulatory environments.
This role involves conducting research and teaching in data science and statistics. The successful candidate will join a well-established department, contribute to world-leading publications, and collaborate with colleagues across various research areas.
The Head of Data & Performance will lead the College’s data analysis and performance monitoring, transforming complex data into actionable insights. Responsibilities include strategic decision-making, performance management, quality improvement, and regulatory compliance, working closely with senior leaders and teams across the College.
This role involves developing an advanced AI platform to generate novel peptide sequences and predict their characteristics, working closely with AstraZeneca and Queen Mary University of London. The position is based in Cambridge and requires travel to London for research and training.
The Senior Biostatistician role involves providing senior statistical expertise for the EMBRACE programme, focusing on the design, conduct, and analysis of digital and AI-enabled clinical trials. Responsibilities include developing robust statistical methods for complex datasets, collaborating with multidisciplinary teams, and contributing to regulatory submissions and publications.
The Claims Analytics Lead will build strong relationships with claims stakeholders, translate business challenges into analytical solutions, and apply data science techniques to improve decision-making and performance. The role involves developing insights in claims forecasting, triage, severity, and operational performance, and working with technical teams to embed these insights into daily operations.
This role involves designing and implementing enterprise-scale Databricks Lakehouse platforms, translating business requirements into robust data architectures, and leading end-to-end delivery for clients. You'll optimise performance and cost of Databricks workloads, implement security and governance using Unity Catalog or Purview, and build automated CI/CD pipelines. The position emphasizes technical leadership, client engagement, and shaping modern data strategies across structured and unstructured data environments.
This role involves designing and delivering AI/ML models for forecasting, customer segmentation, churn prediction, and commercial optimisation. You'll own end-to-end data workflows, operationalise models using ML Ops, and collaborate with product, engineering, and client teams to align technical outputs with business outcomes.
Acts as a senior technical advisor to major enterprise customers, driving adoption of the Databricks platform through strategic data and AI initiatives. Focuses on executive engagement, complex solution design across cloud ecosystems, and mentoring technical teams. Combines deep technical expertise with thought leadership to influence large-scale digital transformation.
This role involves analysing large-scale consumer behavioural data to derive actionable insights for major global clients. You'll define cohorts, apply statistical and causal inference methods, and validate findings using Python and SQL. The position also includes contributing to data pipelines and client reporting, with a strong emphasis on code quality, peer review, and clear communication of results.
This role involves designing, developing, and deploying AI and machine learning solutions into production environments. You will work on generative AI applications, conversational AI platforms, and scalable data pipelines, collaborating with AI technical leads, product teams, and software engineers to build next-generation intelligent products.
This role involves designing and building multimodal AI solutions that enhance content consumption across various channels, including digital, print, audio, and video. You will work closely with stakeholders to translate business needs into scalable AI products and lead key technical initiatives within a growing AI team.
