Senior Platform Engineer GCP, DevOps, Platform Engineering After the launch of its flagship product, a fast-growing scale-up is expanding its engineering capability and is looking for an Senior Platform Engineer to work alongside the Engineering Manager to help develop their cloud platform and enable rapid, secure product delivery at scale. This is a key position role within a cloud-native environment, accountable for the reliability, scalability, and security of the Google Cloud Platform estate. You ll be working in a multi-disciplinary platform function across CI/CD, networking, security, AIOps, and observability, building a robust self-service platform that empowers engineering squads and supports an ambitious technology-led transformation. You ll help shape platform strategy, champion automation for a hugely exciting scale-up, playing an integral role in the development of future products. Location: Hybrid with two days per week in the office in Bradford and Leeds Salary: £85,000 to £95,000 + 15% Bonus + Benefits To be considered: Over 3 years of hands-on experience with Google Cloud Platform. Strong expertise in CI/CD design and build using GitHub, Terraform or similar. Experience supporting microservices / API-driven architectures. Comfortable working in fast-paced, product-led organisations with multiple stakeholders. This is an excellent opportunity for an experienced Platform Engineering leader who enjoys building scalable cloud foundations, driving automation and engineering standards, and enabling teams to deliver securely and efficiently.
01/09/2026
Full time
Senior Platform Engineer GCP, DevOps, Platform Engineering After the launch of its flagship product, a fast-growing scale-up is expanding its engineering capability and is looking for an Senior Platform Engineer to work alongside the Engineering Manager to help develop their cloud platform and enable rapid, secure product delivery at scale. This is a key position role within a cloud-native environment, accountable for the reliability, scalability, and security of the Google Cloud Platform estate. You ll be working in a multi-disciplinary platform function across CI/CD, networking, security, AIOps, and observability, building a robust self-service platform that empowers engineering squads and supports an ambitious technology-led transformation. You ll help shape platform strategy, champion automation for a hugely exciting scale-up, playing an integral role in the development of future products. Location: Hybrid with two days per week in the office in Bradford and Leeds Salary: £85,000 to £95,000 + 15% Bonus + Benefits To be considered: Over 3 years of hands-on experience with Google Cloud Platform. Strong expertise in CI/CD design and build using GitHub, Terraform or similar. Experience supporting microservices / API-driven architectures. Comfortable working in fast-paced, product-led organisations with multiple stakeholders. This is an excellent opportunity for an experienced Platform Engineering leader who enjoys building scalable cloud foundations, driving automation and engineering standards, and enabling teams to deliver securely and efficiently.
Data Engineer (Databricks) Marketing Analytics A global leader in the mobility and vehicle rental sector is looking for a Data Engineer with strong Databricks expertise to design, build and maintain the data pipelines powering its marketing analytics and decision-making, as part of a large-scale, greenfield marketing data transformation programme. The successful applicant will build and optimise data pipelines pulling from a wide range of sources including Salesforce and other systems into a unified Databricks lakehouse, creating a single source of truth across brand, paid media, social and CRM data. You'll work closely with marketing, analytics and data stakeholders to develop feature sets and data models that support dashboards, attribution and marketing mix modelling across the platform. Location: Uxbridge, three days per week in the office Salary: Up to £72,000 + 10% Bonus + Benefits Requirements + 3 years of experience working with Databricks, building and maintaining scalable data pipelines and lakehouse architecture Proficiency integrating data from multiple marketing and enterprise platforms (e.g. GA4, Salesforce, CRM/martech tools) Advanced SQL and strong Python skills, with the ability to build features and data models that support analytics and data science use cases Experience with (or strong interest in) attribution modelling, MMM or marketing analytics data structures This is a high-impact, greenfield role at the heart of a major marketing data transformation. If you're ready to build a marketing data platform from the ground up and bridge data engineering with analytics and data science, please apply via the link below.
01/09/2026
Full time
Data Engineer (Databricks) Marketing Analytics A global leader in the mobility and vehicle rental sector is looking for a Data Engineer with strong Databricks expertise to design, build and maintain the data pipelines powering its marketing analytics and decision-making, as part of a large-scale, greenfield marketing data transformation programme. The successful applicant will build and optimise data pipelines pulling from a wide range of sources including Salesforce and other systems into a unified Databricks lakehouse, creating a single source of truth across brand, paid media, social and CRM data. You'll work closely with marketing, analytics and data stakeholders to develop feature sets and data models that support dashboards, attribution and marketing mix modelling across the platform. Location: Uxbridge, three days per week in the office Salary: Up to £72,000 + 10% Bonus + Benefits Requirements + 3 years of experience working with Databricks, building and maintaining scalable data pipelines and lakehouse architecture Proficiency integrating data from multiple marketing and enterprise platforms (e.g. GA4, Salesforce, CRM/martech tools) Advanced SQL and strong Python skills, with the ability to build features and data models that support analytics and data science use cases Experience with (or strong interest in) attribution modelling, MMM or marketing analytics data structures This is a high-impact, greenfield role at the heart of a major marketing data transformation. If you're ready to build a marketing data platform from the ground up and bridge data engineering with analytics and data science, please apply via the link below.
AI Engineer A global leader in professional services is expanding its AI Centre of Excellence as part of continued investment in its Generative AI capability. They are hiring an Agentic AI Architect to shape and deliver transformative AI and Generative AI strategies for some of the world's most ambitious clients, covering everything from research to deployment. This is an opportunity to work at the forefront of enterprise AI, leading the design, development and secure deployment of advanced AI pipelines, from requirement gathering, data acquisition and model development through to evaluation and production. You will design and oversee state-of-the-art AI models, ensuring they are scalable, efficient and robust. Location: Hybrid in London, with travel to client sites Salary: £80,000 to £100,000 + Benefits To be considered Minimum of 3 years' experience focused on Generative AI / LLM-based systems. Must have led the end-to-end delivery of at least one production-grade Generative AI or LLM solution, from design through to live deployment at scale. Background in software engineering, with production experience in PyTorch, TensorFlow and Generative AI frameworks such as LangChain or LangGraph. Educational background in Computer Science, Machine Learning, AI, Mathematics, or a related quantitative discipline. This is an excellent opportunity for a senior AI leader to shape Generative AI strategy at scale, work with world-leading clients, and help build a centre of excellence at the cutting edge of the field. To find out more, apply now.
01/09/2026
Full time
AI Engineer A global leader in professional services is expanding its AI Centre of Excellence as part of continued investment in its Generative AI capability. They are hiring an Agentic AI Architect to shape and deliver transformative AI and Generative AI strategies for some of the world's most ambitious clients, covering everything from research to deployment. This is an opportunity to work at the forefront of enterprise AI, leading the design, development and secure deployment of advanced AI pipelines, from requirement gathering, data acquisition and model development through to evaluation and production. You will design and oversee state-of-the-art AI models, ensuring they are scalable, efficient and robust. Location: Hybrid in London, with travel to client sites Salary: £80,000 to £100,000 + Benefits To be considered Minimum of 3 years' experience focused on Generative AI / LLM-based systems. Must have led the end-to-end delivery of at least one production-grade Generative AI or LLM solution, from design through to live deployment at scale. Background in software engineering, with production experience in PyTorch, TensorFlow and Generative AI frameworks such as LangChain or LangGraph. Educational background in Computer Science, Machine Learning, AI, Mathematics, or a related quantitative discipline. This is an excellent opportunity for a senior AI leader to shape Generative AI strategy at scale, work with world-leading clients, and help build a centre of excellence at the cutting edge of the field. To find out more, apply now.
