This role involves designing and implementing data architecture using Snowflake, with a focus on data warehousing, cross-cloud orchestration, and AI readiness. Responsibilities include defining data modelling standards, securing data pipelines, and optimizing Snowflake's performance and cost efficiency.
Salary: £34,359 - £42,759 plus eligibility for £125 monthly London Allowance, Van, Tools, Company Bonus Scheme and regular overtimeLocation: South LondonHours: 40 hours per weekContract Type: PermanentWe're looking for a Trade Operative with experience in multiple trades in to join...
Salary: £34,359 - £42,759 plus eligibility for £125 monthly London Allowance, Van, Tools, Company Bonus Scheme and regular overtimeLocation: South LondonHours: 40 hours per weekContract Type: PermanentWe have an exciting opportunity for an experienced Carpenter who has skills in plumbing,...
You will work as a software engineer on a cutting-edge AI-driven drug discovery platform, building and scaling data services that support scientific research and machine learning workflows. Your role involves designing robust data storage, integration, and serving systems, collaborating closely with scientists and ML researchers in a fast-paced, interdisciplinary environment. The position emphasizes innovation in data engineering and platform development to accelerate digital biology breakthroughs.
Build and maintain large-scale bioinformatics pipelines to transform raw biological data into standardized, ML-ready datasets. Collaborate with interdisciplinary teams to integrate high-quality, version-controlled data into AI-driven drug discovery workflows, ensuring robust and coherent biological insights. Drive adoption of best practices and platform-level solutions across research and development teams.
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 in health data science and applied AI, with a focus on trustworthy AI, Learning Health Systems, and large-scale health data. The post holder will contribute to undergraduate and postgraduate teaching, including curriculum development and leading the new MSc in Artificial Intelligence for Health. They will work within an interdisciplinary team, building research grants and fostering collaborations with NHS and King's Health Partners.
The role involves developing patient-specific models using machine learning to predict disease states and treatment responses for cardiovascular digital twins. You will work with multimodal clinical, physiological, imaging, and sensor data, collaborating with a multidisciplinary team at the Digital Environment Research Institute and the Cardiovascular Devices Hub.
The role involves leading enterprise data architecture assessments, mapping systems and data flows, identifying data risks, and defining scalable data models and integration patterns. The architect will evaluate data quality controls, platform capabilities, and readiness for AI use cases while promoting canonical data definitions and improving decision-making through data. Collaboration with cross-functional teams is essential to align technical architecture with business needs.
Lead Data EngineerLocation: London (Hybrid)Salary: £80,000-£115,000Hexwired has partnered with an exciting AI start-up developing an intelligent automation platform that is transforming the B2C service. They're now looking for a Lead Data Engineer to design and build the data infrastructure that...
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...
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.
Lead end-to-end finance transformation programmes for global organisations, designing future-state operating models and delivering change across finance processes, ERP systems, and AI-enabled automation. Advise CFOs and executive teams on digital finance strategy, process optimisation, and technology enablement across R2R, P2P, O2C, and financial controls. Mentor consulting teams and contribute to business development and capability building within a transformation practice.
Lead the design and development of a new enterprise-wide Financial Crime data platform, integrating data from onboarding, screening, monitoring, and compliance systems. Build scalable cloud-based data pipelines and canonical models to support KYC, AML, risk assessment, and AI-driven decisioning. Establish data governance, quality, and engineering standards across a high-profile transformation programme with regulatory impact.
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.
