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.
This role involves managing strategic partnerships in the biotech and pharmaceutical space, focusing on advancing drug discovery through AI-driven innovation. The Senior Alliance Manager will oversee collaboration frameworks, governance, and joint research plans while fostering strong relationships between internal teams and external partners. The position requires deep expertise in alliance management, contract negotiation, and the drug development lifecycle, with an emphasis on operational excellence and value creation across long-term partnerships.
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.
The Senior Data Analyst will develop and optimise SQL solutions, design Power BI reports, and work with Microsoft Fabric to support data integration, transformation, and governance. This role involves close collaboration with business stakeholders to improve data quality and reporting processes within a modern data platform environment.
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 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.
This role involves developing and maintaining data models, building features for large language models (LLMs), and supporting end-to-end AI solutions across the data science lifecycle. The candidate will collaborate with data engineers on pipelines and work closely with stakeholders to translate business problems into scalable, production-ready data products. Emphasis is placed on code quality, documentation, and deploying AI-driven solutions in real-world environments.
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.
As a Data Architect, you will define and maintain the overall data architecture strategy for an ambitious enterprise-wide modernisation programme. You will work closely with BI Engineers and senior stakeholders to ensure scalable, secure, and compliant data solutions, and play a key role in evaluating and adopting new technologies.
