Curo Resourcing Ltd.
Cheltenham, Gloucestershire
Location: Cheltenham Salary: Competitive Benefits: Bonus and commission scheme, comprehensive benefits package including private medical and pension, flexible hybrid working, clear progression with funded training, and enhanced long-term incentives including additional leave and retention bonuses. Work on analytics platforms that support highly sensitive, mission critical programmes within a secure environment. This is an opportunity to build and scale modern data platforms while contributing to projects of national significance, alongside some of the strongest engineers in the sector. The Client: We're partnering with a leading organisation in the secure government sector to support the growth of a key programme delivering advanced data and analytics capabilities. This is a critical hire within an expanding team, focused on building and scaling platforms that underpin mission critical solutions. Operating at the forefront of data, cloud, and AI driven innovation, they offer an environment where engineers can work on complex, high impact challenges with real world significance. The Candidate: This would suit a candidate with a strong background in data or analytics platform engineering, who is comfortable working across both software development and infrastructure. You'll enjoy solving complex technical challenges, working in dynamic environments, and collaborating closely with Data Scientists and MLOps teams. A pragmatic, adaptable mindset is key, along with a passion for building scalable, secure systems that enable data driven outcomes. You should also be comfortable working in secure, highly regulated environments. The Role: We are seeking Senior and Principal Analytics Platform Engineers to join a growing team delivering high impact solutions within a secure environment. You will play a key role in designing, building, and evolving a modern analytics platform, supporting the full lifecycle from development through to deployment and ongoing optimisation. This is a hands on role offering exposure to a broad and evolving technology landscape. Due to the nature of the work, you will be operating within a highly secure environment with specific access requirements. Key Duties: Design, build and evolve scalable analytics and data platforms. Contribute across the full software development lifecycle. Support cloud migration and data management initiatives. Develop, test and deploy new platform capabilities. Troubleshoot and enhance existing analytics services. Provide hands on support to Data Scientists and MLOps teams. Tackle complex engineering challenges across a varied tech stack. Requirements: Strong experience with Python. Experience with Kubernetes and Docker. Understanding of CI/CD pipelines (e.g. GitLab). Exposure to data platforms, MLOps or machine learning environments. Spark or Scala. AWS services (e.g. S3). Elasticsearch or graph databases. OIDC/OAuth. Node.js or React. To apply for this Analytics Platform Engineer permenent job, please click the button below and submit your latest CV. Curo Services endeavour to respond to all applications. However, this may not always be possible during periods of high volume. Thank you for your patience. Curo Resourcing Ltd acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
Location: Cheltenham Salary: Competitive Benefits: Bonus and commission scheme, comprehensive benefits package including private medical and pension, flexible hybrid working, clear progression with funded training, and enhanced long-term incentives including additional leave and retention bonuses. Work on analytics platforms that support highly sensitive, mission critical programmes within a secure environment. This is an opportunity to build and scale modern data platforms while contributing to projects of national significance, alongside some of the strongest engineers in the sector. The Client: We're partnering with a leading organisation in the secure government sector to support the growth of a key programme delivering advanced data and analytics capabilities. This is a critical hire within an expanding team, focused on building and scaling platforms that underpin mission critical solutions. Operating at the forefront of data, cloud, and AI driven innovation, they offer an environment where engineers can work on complex, high impact challenges with real world significance. The Candidate: This would suit a candidate with a strong background in data or analytics platform engineering, who is comfortable working across both software development and infrastructure. You'll enjoy solving complex technical challenges, working in dynamic environments, and collaborating closely with Data Scientists and MLOps teams. A pragmatic, adaptable mindset is key, along with a passion for building scalable, secure systems that enable data driven outcomes. You should also be comfortable working in secure, highly regulated environments. The Role: We are seeking Senior and Principal Analytics Platform Engineers to join a growing team delivering high impact solutions within a secure environment. You will play a key role in designing, building, and evolving a modern analytics platform, supporting the full lifecycle from development through to deployment and ongoing optimisation. This is a hands on role offering exposure to a broad and evolving technology landscape. Due to the nature of the work, you will be operating within a highly secure environment with specific access requirements. Key Duties: Design, build and evolve scalable analytics and data platforms. Contribute across the full software development lifecycle. Support cloud migration and data management initiatives. Develop, test and deploy new platform capabilities. Troubleshoot and enhance existing analytics services. Provide hands on support to Data Scientists and MLOps teams. Tackle complex engineering challenges across a varied tech stack. Requirements: Strong experience with Python. Experience with Kubernetes and Docker. Understanding of CI/CD pipelines (e.g. GitLab). Exposure to data platforms, MLOps or machine learning environments. Spark or Scala. AWS services (e.g. S3). Elasticsearch or graph databases. OIDC/OAuth. Node.js or React. To apply for this Analytics Platform Engineer permenent job, please click the button below and submit your latest CV. Curo Services endeavour to respond to all applications. However, this may not always be possible during periods of high volume. Thank you for your patience. Curo Resourcing Ltd acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
Chemify Ltd
Location: Glasgow or London (King's Cross) Workstyle: Hybrid Reports to: CTO About Chemify Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining AI, robotics, and the world's largest continually expanding database of chemical programs, we are accelerating chemical discovery to improve quality of life and extend the reach of humanity. Our newly opened Chemifarm facility in Glasgow operates a growing fleet of advanced robotic systems that automate synthesis, optimisation, and library generation. As we scale up to globally distributed facilities, we are undertaking a foundational transformation of data integrates and scales across our platform. The Role We are looking for a Principal Data Architect to design and lead the evolution of Chemify's data architecture into a performant, distributed, well-governed, and enterprise-ready data ecosystem. Your mission is to define & implement how data flows across our platforms, how it is stored, synchronized, governed, and shared, both within Chemify and with external partners while complying with contractual, regulatory, and security constraints. This is a foundational role: your decisions will shape how Chemify scales from a single Chemifarm to a global network of automated laboratories that can safely collaborate with Enterprise customers and research partners. If you enjoy problem solving complex technical challenges that blend system Architecture, Data engineering and Distributed systems, are a natural communicator and are energized by working closely with scientists using cutting edge technologies, then we'd love to welcome you to our team. Key Responsibilities Define the enterprise data architecture for scientific and operational data to ensure it is "ML-ready" from the moment of ingestion. Establish a Data Lakehouse architecture on AWS to manage the massive scale of raw, unstructured "dark data" from robotic sensors (spectra, video, logs, etc.). Lead the strategic design and implementation of a unified chemical data fabric that integrates molecular structures, retrosynthetic reaction networks, and high-frequency robotic telemetry. You will be responsible for architecting a versioned Feature Store that standardizes chemical ontologies and pre-computed molecular descriptors, ensuring a seamless, high-fidelity data loop between robotic laboratory execution and AI-driven discovery engines. Advanced Relational & Semantic Modeling Architect Graph Data Models representing complex chemical reaction networks, optimized for synthesis AI and automated manufacturing planning. Lead the development of Foundational Semantic Ontologies that allow AI models to reason across disparate chemical data types. Design Vector Database integrations (e.g., pgvector, Pinecone) to facilitate similarity searches across billions of chemical entities. Industrial Telemetry & Edge Synchronization Architect the ingestion of high-frequency robot and sensor telemetry using MQTT/Streaming patterns, ensuring zero loss of "negative data" (failed experiments) critical for model training. Design a globally distributed data system that synchronizes local lab "Edge" data with global AI training clusters while maintaining consistency guarantees. Governance & Enterprise Readiness Own the data governance framework, specifically defining Data Tenancy and Partitioning models for Fortune 500 clients to ensure strict IP isolation. Architect secure, compliant Data Sharing patterns for external research partners, translating legal/contractual constraints into technical controls. Drive the data architecture roadmap toward SOC 2 and ISO 27001 readiness, focusing on auditability and access control for training data. About You You are an experienced Architect (e.g., TOGAF, AWS Certified Solutions Architect, or equivalent) with strong Python expertise in production data. You have a natural curiosity for complex scientific domains and thrive on creating lasting value through building modern data engineering solutions. We expect you to bring BSc or equivalent experience, preferably in a Data Engineering-related field. 8+ years commercial Data Architect & python experience. Deep experience with PostgreSQL, ideally in AWS RDS. Proven experience designing high-throughput telemetry / IoT / industrial data systems generating very large volumes of time-series data. Hands on understanding of stream ingestion patterns (MQTT). Experience with graph or Vector databases (Neo4j, Pinecone, pgvector) and modelling complex, highly relational domains. Proven experience designing distributed data systems across multiple services, teams, or locations. Demonstrable experience building impactful solutions with: Data governance frameworks Data tenancy and segregation models Data consistency and replication patterns Secure data sharing between organizations Beneficial Skills Prior involvement in SOC 2, ISO 27001 compliance programmes, particularly from a data architecture perspective. Exposure to scientific, chemical, or manufacturing data environments. Familiarity with modern data stack components (e.g., data lakes, streaming, or batch/real-time pipelines). Chemistry or AI Drug Discovery domain knowledge is a real differentiator for us Why Join Chemify? Impact You will help build the infrastructure that enables digital chemistry at scale - accelerating discovery, improving reproducibility, and unlocking new possibilities in science and medicine. Autonomy Reporting directly to the CTO, you will have meaningful influence over the technical direction and data strategy of a Series B deep tech rocket ship. Ambition We are scaling rapidly, investing in world class infrastructure, and tackling problems that sit at the frontier of robotics, AI, and chemistry. You will have the resources and mandate to build the right foundations for the future. Advanced Research Centre, University of Glasgow, 11 Chapel Lane, G11 6EW
Location: Glasgow or London (King's Cross) Workstyle: Hybrid Reports to: CTO About Chemify Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining AI, robotics, and the world's largest continually expanding database of chemical programs, we are accelerating chemical discovery to improve quality of life and extend the reach of humanity. Our newly opened Chemifarm facility in Glasgow operates a growing fleet of advanced robotic systems that automate synthesis, optimisation, and library generation. As we scale up to globally distributed facilities, we are undertaking a foundational transformation of data integrates and scales across our platform. The Role We are looking for a Principal Data Architect to design and lead the evolution of Chemify's data architecture into a performant, distributed, well-governed, and enterprise-ready data ecosystem. Your mission is to define & implement how data flows across our platforms, how it is stored, synchronized, governed, and shared, both within Chemify and with external partners while complying with contractual, regulatory, and security constraints. This is a foundational role: your decisions will shape how Chemify scales from a single Chemifarm to a global network of automated laboratories that can safely collaborate with Enterprise customers and research partners. If you enjoy problem solving complex technical challenges that blend system Architecture, Data engineering and Distributed systems, are a natural communicator and are energized by working closely with scientists using cutting edge technologies, then we'd love to welcome you to our team. Key Responsibilities Define the enterprise data architecture for scientific and operational data to ensure it is "ML-ready" from the moment of ingestion. Establish a Data Lakehouse architecture on AWS to manage the massive scale of raw, unstructured "dark data" from robotic sensors (spectra, video, logs, etc.). Lead the strategic design and implementation of a unified chemical data fabric that integrates molecular structures, retrosynthetic reaction networks, and high-frequency robotic telemetry. You will be responsible for architecting a versioned Feature Store that standardizes chemical ontologies and pre-computed molecular descriptors, ensuring a seamless, high-fidelity data loop between robotic laboratory execution and AI-driven discovery engines. Advanced Relational & Semantic Modeling Architect Graph Data Models representing complex chemical reaction networks, optimized for synthesis AI and automated manufacturing planning. Lead the development of Foundational Semantic Ontologies that allow AI models to reason across disparate chemical data types. Design Vector Database integrations (e.g., pgvector, Pinecone) to facilitate similarity searches across billions of chemical entities. Industrial Telemetry & Edge Synchronization Architect the ingestion of high-frequency robot and sensor telemetry using MQTT/Streaming patterns, ensuring zero loss of "negative data" (failed experiments) critical for model training. Design a globally distributed data system that synchronizes local lab "Edge" data with global AI training clusters while maintaining consistency guarantees. Governance & Enterprise Readiness Own the data governance framework, specifically defining Data Tenancy and Partitioning models for Fortune 500 clients to ensure strict IP isolation. Architect secure, compliant Data Sharing patterns for external research partners, translating legal/contractual constraints into technical controls. Drive the data architecture roadmap toward SOC 2 and ISO 27001 readiness, focusing on auditability and access control for training data. About You You are an experienced Architect (e.g., TOGAF, AWS Certified Solutions Architect, or equivalent) with strong Python expertise in production data. You have a natural curiosity for complex scientific domains and thrive on creating lasting value through building modern data engineering solutions. We expect you to bring BSc or equivalent experience, preferably in a Data Engineering-related field. 8+ years commercial Data Architect & python experience. Deep experience with PostgreSQL, ideally in AWS RDS. Proven experience designing high-throughput telemetry / IoT / industrial data systems generating very large volumes of time-series data. Hands on understanding of stream ingestion patterns (MQTT). Experience with graph or Vector databases (Neo4j, Pinecone, pgvector) and modelling complex, highly relational domains. Proven experience designing distributed data systems across multiple services, teams, or locations. Demonstrable experience building impactful solutions with: Data governance frameworks Data tenancy and segregation models Data consistency and replication patterns Secure data sharing between organizations Beneficial Skills Prior involvement in SOC 2, ISO 27001 compliance programmes, particularly from a data architecture perspective. Exposure to scientific, chemical, or manufacturing data environments. Familiarity with modern data stack components (e.g., data lakes, streaming, or batch/real-time pipelines). Chemistry or AI Drug Discovery domain knowledge is a real differentiator for us Why Join Chemify? Impact You will help build the infrastructure that enables digital chemistry at scale - accelerating discovery, improving reproducibility, and unlocking new possibilities in science and medicine. Autonomy Reporting directly to the CTO, you will have meaningful influence over the technical direction and data strategy of a Series B deep tech rocket ship. Ambition We are scaling rapidly, investing in world class infrastructure, and tackling problems that sit at the frontier of robotics, AI, and chemistry. You will have the resources and mandate to build the right foundations for the future. Advanced Research Centre, University of Glasgow, 11 Chapel Lane, G11 6EW
