Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. We're seeking a product security engineer to develop novel security tooling, discover vulnerabilities, and ultimately secure our suite of advanced technologies including artificial intelligence systems, command and control platforms, aerospace vehicles, and long range sensors. The ideal candidate has a background in electrical or software engineering, with a focus on platform security, or has pivoted to a product or application security role. They will be able to conduct complex security architecture reviews, research and mitigate exploits against hardware and software, and work with other engineering teams to build resiliency into our products. Responsibilities: Owns the development and maturation of security features for Anduril's products Authors and maintains security documentation including System Security Plans, Threat Analysis and Risk Assessments, and compliance evidence Collaborates and builds solutions with engineering teams to meet and exceed industry-standard security goals Collaborates with manufacturing and operations teams to develop secure handling and operational processes Engages with teams to remediate uncovered weakness in designs, implementations, integrations, and processes Integrates and matures Product Securitys suite of tooling thought Anduril's products. Conducts security assessments including architecture review, source code analysis, configuration auditing, and adversarial testing Requirements: Proficient with one or more programming languages (e.g. C/C++, Golang, Rust, Python) Experience assessing security of firmware, applications, network, IoT, or embedded systems Experience developing features for and improving security of firmware, applications, network, or embedded systems Experience building, testing, and delivering production-ready systems, especially for embedded and/or Linux systems Experience with structured threat modelling and risk assessment methodologies Experience in building and security autonomous systems and their unique threat model Experience in any previous military or defence domain; land, air, sea desirable but not mandatory Familiarity with anti-tamper and reverse engineering hardware and software mechanisms Strong and professional communication skills (written and verbal) Must be eligible to obtain and maintain a UK Security Clearance to a minimum of SC level Must be a UK citizen Preferred Qualifications: Excels at the above listed Requirements Experience with UK Ministry of Defence Cyber Security Model, including UK Government Security Classifications DefStans (05-138 at a minimum) Cyber Secure by Design (including JSP 440's Cyber Secure by Design guidance and/or JSPs 453 and 604) Defence Information Protection Notices (DIPNs) Industry Security Notices (ISNs) Familiarity with aviation cyber security standards such as DO-326A/ED-202A Experience with SORA or CAA Type Certification cyber requirements Experience engaging with certification bodies like the CAA or MAA/DE&S Familiarity with RF Emanation Protection (including TEMPEST) Experience of Network Security Devices (including Inter-Domain Gateways and Cross Domain Solutions) Familiarity with security architectures of embedded, aerospace, or cyber-physical systems Experience with programmable logic devices and their development tools Regularly builds, tests, and delivers production-ready systems, especially for embedded and/or Linux systems Ideally a sole UK National (i.e. hold no other citizenships) Anduril is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are someone passionate to work on problems that matter, we'd love to hear from you! The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to . Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
27/07/2026
Full time
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. We're seeking a product security engineer to develop novel security tooling, discover vulnerabilities, and ultimately secure our suite of advanced technologies including artificial intelligence systems, command and control platforms, aerospace vehicles, and long range sensors. The ideal candidate has a background in electrical or software engineering, with a focus on platform security, or has pivoted to a product or application security role. They will be able to conduct complex security architecture reviews, research and mitigate exploits against hardware and software, and work with other engineering teams to build resiliency into our products. Responsibilities: Owns the development and maturation of security features for Anduril's products Authors and maintains security documentation including System Security Plans, Threat Analysis and Risk Assessments, and compliance evidence Collaborates and builds solutions with engineering teams to meet and exceed industry-standard security goals Collaborates with manufacturing and operations teams to develop secure handling and operational processes Engages with teams to remediate uncovered weakness in designs, implementations, integrations, and processes Integrates and matures Product Securitys suite of tooling thought Anduril's products. Conducts security assessments including architecture review, source code analysis, configuration auditing, and adversarial testing Requirements: Proficient with one or more programming languages (e.g. C/C++, Golang, Rust, Python) Experience assessing security of firmware, applications, network, IoT, or embedded systems Experience developing features for and improving security of firmware, applications, network, or embedded systems Experience building, testing, and delivering production-ready systems, especially for embedded and/or Linux systems Experience with structured threat modelling and risk assessment methodologies Experience in building and security autonomous systems and their unique threat model Experience in any previous military or defence domain; land, air, sea desirable but not mandatory Familiarity with anti-tamper and reverse engineering hardware and software mechanisms Strong and professional communication skills (written and verbal) Must be eligible to obtain and maintain a UK Security Clearance to a minimum of SC level Must be a UK citizen Preferred Qualifications: Excels at the above listed Requirements Experience with UK Ministry of Defence Cyber Security Model, including UK Government Security Classifications DefStans (05-138 at a minimum) Cyber Secure by Design (including JSP 440's Cyber Secure by Design guidance and/or JSPs 453 and 604) Defence Information Protection Notices (DIPNs) Industry Security Notices (ISNs) Familiarity with aviation cyber security standards such as DO-326A/ED-202A Experience with SORA or CAA Type Certification cyber requirements Experience engaging with certification bodies like the CAA or MAA/DE&S Familiarity with RF Emanation Protection (including TEMPEST) Experience of Network Security Devices (including Inter-Domain Gateways and Cross Domain Solutions) Familiarity with security architectures of embedded, aerospace, or cyber-physical systems Experience with programmable logic devices and their development tools Regularly builds, tests, and delivers production-ready systems, especially for embedded and/or Linux systems Ideally a sole UK National (i.e. hold no other citizenships) Anduril is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are someone passionate to work on problems that matter, we'd love to hear from you! The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to . Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Background At Motion Applied - Connected Intelligence (CI), we create cutting edge wireless connectivity solutions that are transforming customer experience across the transport industry. We create solutions that drive efficiency and cost-effectiveness for customers, delivering unrivalled internet connectivity services. Purpose of the Role This is an opportunity to join our Software Engineering community as a Site Reliability Engineer (SRE) leading initiatives that create and improve the CI Platform as a Service (Paas) offering to the product delivery teams. Enabling product development teams to deliver software products on immutable infrastructure. Developing and facilitating production and development infrastructure and associated tooling. Integrating third party managed services used for delivery and development lifecycle. Lead on implementation of the CI cloud governance policy and be a key participant in maintaining and updating the policy in accordance with technology shifts, customer feedback and product development needs. Be an open minded technologist who values a collaborative work environment and is willing to learn and explore as the fast paced industry evolves and changes. Key Responsibilities Key contributor to the Roadmap for the CI Platform. Development and maintenance of the CI Platform. Collaborate and consult with software engineers and data scientists to help design and implement robust and scalable software products. Knowledge sharing and education of team members to enable our DevOps culture. Proactively monitor costs and security posture of the CI Platform and products running on it. Define and implement tooling to continually improve our software development, release and maintenance processes. Develop product features with product delivery teams, building upon the CI Platform offering. Supporting our live systems, including identifying and implementing improvements to products, tools and processes to improve the on going reliability of our solutions. Design and implement infrastructure for multi region and multi tenant products and platform. Design and implement monitoring infrastructure for real time data streams. Design network and access to allow software engineers and data scientists to access services in AWS while keeping the services and data safe and secure. Enable and collaborate with teams to automate the entire delivery of a product. From a single web application to the configuration of a cloud account. Design and implement security and access management so that users and roles have access only to resources they need within the AWS account and attaching IoT devices. Identify root cause of live issues, to help both recover any immediate situation and design/implement improvements for future reliability. Experience We are Looking For Working with delivery teams deploying software on the cloud. Strategic technical leadership, in particular related to Site Reliability Engineering. Evidence of tailored and contextual communication in all directions to realise value as feedback and enquiry. Hands on experience in delivering production quality services. Experience in supporting live production systems. Required We are looking for an applicant who has: a Bachelor's degree in computer science, similar technical field of study, or equivalent practical experience. 5 + years of hands on experience with large cloud providers such as AWS, Azure, GCP, or OCI. Leading technical initiatives including roadmap input, cross team collaboration and mentoring. Proficiency in Infrastructure as Code (IaC) tools such as Terraform. 3 + years of hands on experience with containerization and orchestration tools like Docker and Kubernetes. Experience working in and developing for a Linux environment. Excellent programming, debugging, and optimisation skills and at least one strong purpose programming language (Go or Python preferred). Solid understanding of DevOps practices, CI/CD pipelines and version control e.g. Git. Knowledge of observability and monitoring tools e.g. Prometheus, Grafana, ELK etc. Experience in troubleshooting incidents and live environments. Ability to write and speak in English fluently. Desirable & Development Areas Familiarity with AWS Well Architected Framework. Designing, building and maintaining multi tenant and multi region cloud infrastructure. Exposure to configuration management tools like Ansible or SaltStack. Knowledge in cyber security, including but not limited to threat intelligence, IAM, key management systems, data security, application security, applied cryptography, certificate management. Cost optimisation experience at a platform or organisation level. Experience of IoT systems integration, protocols, and services, including gRPC and MQTT. Networking concepts and network performance modelling / optimisation. Experience with Hashicorp tools like Vault or Consul. AWS Certified Solutions Architect - Professional or AWS Certified DevOps Engineer - Professional. Location This role is based at our head office in central Woking. The role is included in our hybrid working policy with the expectation of a minimum of two days a week in the office, which should be co ordinated with other members of the Engineering team. What We Can Offer You Annual leave (25 days + bank holidays, pro rated for part time colleagues). Enhanced Company Maternity, Paternity and Adoption leave and pay. Flexible working policies, including Hybrid Working. Life assurance to the value of 4 times base salary. Opportunity to join the Motion Applied Pension Plan. Company funded individual private healthcare with the opportunity to extend to partner or spouse and/or dependents at a discounted rate. Electric car scheme - opportunity to drive a brand new car in a more affordable way through this salary sacrifice scheme. Employees are eligible to join the scheme after successful completion of their probationary period. Motion Applied are committed to Diversity, Equality and Inclusion (DEI) and promote DEI in all we do. Motion Applied are also members of the UK Government Disability Confident Scheme.
25/07/2026
Full time
Background At Motion Applied - Connected Intelligence (CI), we create cutting edge wireless connectivity solutions that are transforming customer experience across the transport industry. We create solutions that drive efficiency and cost-effectiveness for customers, delivering unrivalled internet connectivity services. Purpose of the Role This is an opportunity to join our Software Engineering community as a Site Reliability Engineer (SRE) leading initiatives that create and improve the CI Platform as a Service (Paas) offering to the product delivery teams. Enabling product development teams to deliver software products on immutable infrastructure. Developing and facilitating production and development infrastructure and associated tooling. Integrating third party managed services used for delivery and development lifecycle. Lead on implementation of the CI cloud governance policy and be a key participant in maintaining and updating the policy in accordance with technology shifts, customer feedback and product development needs. Be an open minded technologist who values a collaborative work environment and is willing to learn and explore as the fast paced industry evolves and changes. Key Responsibilities Key contributor to the Roadmap for the CI Platform. Development and maintenance of the CI Platform. Collaborate and consult with software engineers and data scientists to help design and implement robust and scalable software products. Knowledge sharing and education of team members to enable our DevOps culture. Proactively monitor costs and security posture of the CI Platform and products running on it. Define and implement tooling to continually improve our software development, release and maintenance processes. Develop product features with product delivery teams, building upon the CI Platform offering. Supporting our live systems, including identifying and implementing improvements to products, tools and processes to improve the on going reliability of our solutions. Design and implement infrastructure for multi region and multi tenant products and platform. Design and implement monitoring infrastructure for real time data streams. Design network and access to allow software engineers and data scientists to access services in AWS while keeping the services and data safe and secure. Enable and collaborate with teams to automate the entire delivery of a product. From a single web application to the configuration of a cloud account. Design and implement security and access management so that users and roles have access only to resources they need within the AWS account and attaching IoT devices. Identify root cause of live issues, to help both recover any immediate situation and design/implement improvements for future reliability. Experience We are Looking For Working with delivery teams deploying software on the cloud. Strategic technical leadership, in particular related to Site Reliability Engineering. Evidence of tailored and contextual communication in all directions to realise value as feedback and enquiry. Hands on experience in delivering production quality services. Experience in supporting live production systems. Required We are looking for an applicant who has: a Bachelor's degree in computer science, similar technical field of study, or equivalent practical experience. 5 + years of hands on experience with large cloud providers such as AWS, Azure, GCP, or OCI. Leading technical initiatives including roadmap input, cross team collaboration and mentoring. Proficiency in Infrastructure as Code (IaC) tools such as Terraform. 3 + years of hands on experience with containerization and orchestration tools like Docker and Kubernetes. Experience working in and developing for a Linux environment. Excellent programming, debugging, and optimisation skills and at least one strong purpose programming language (Go or Python preferred). Solid understanding of DevOps practices, CI/CD pipelines and version control e.g. Git. Knowledge of observability and monitoring tools e.g. Prometheus, Grafana, ELK etc. Experience in troubleshooting incidents and live environments. Ability to write and speak in English fluently. Desirable & Development Areas Familiarity with AWS Well Architected Framework. Designing, building and maintaining multi tenant and multi region cloud infrastructure. Exposure to configuration management tools like Ansible or SaltStack. Knowledge in cyber security, including but not limited to threat intelligence, IAM, key management systems, data security, application security, applied cryptography, certificate management. Cost optimisation experience at a platform or organisation level. Experience of IoT systems integration, protocols, and services, including gRPC and MQTT. Networking concepts and network performance modelling / optimisation. Experience with Hashicorp tools like Vault or Consul. AWS Certified Solutions Architect - Professional or AWS Certified DevOps Engineer - Professional. Location This role is based at our head office in central Woking. The role is included in our hybrid working policy with the expectation of a minimum of two days a week in the office, which should be co ordinated with other members of the Engineering team. What We Can Offer You Annual leave (25 days + bank holidays, pro rated for part time colleagues). Enhanced Company Maternity, Paternity and Adoption leave and pay. Flexible working policies, including Hybrid Working. Life assurance to the value of 4 times base salary. Opportunity to join the Motion Applied Pension Plan. Company funded individual private healthcare with the opportunity to extend to partner or spouse and/or dependents at a discounted rate. Electric car scheme - opportunity to drive a brand new car in a more affordable way through this salary sacrifice scheme. Employees are eligible to join the scheme after successful completion of their probationary period. Motion Applied are committed to Diversity, Equality and Inclusion (DEI) and promote DEI in all we do. Motion Applied are also members of the UK Government Disability Confident Scheme.
Worldwide Specialist Solutions Architect - Database, Data & AI Specialist Job ID: AWS EMEA SARL (UK Branch) Are you passionate about building applications with NoSQL databases? Amazon Web Services is looking for an experienced NoSQL Solutions Architect to work directly with AWS customers to design cloud based NoSQL solutions using Amazon DynamoDB, a scalable and highly available server less NoSQL database, designed for mission critical applications. You will have the opportunity to work with prominent startups and large enterprises, helping them architect scalable NoSQL solutions using Amazon DynamoDB. You will dive deep into the details of customer problems and work with internal AWS service teams to create solutions that solve customer needs. You will partner with AWS sales, business development, solutions architecture, and product teams to develop the internal expertise needed to grow DynamoDB related revenue. Key job responsibilities Collaborate with AWS field sales, pre sales, training and support teams to help customers learn about and use DynamoDB. Provide definitive guidance for customers in choosing the right database services and approaches. Be a trusted collaborator for the DynamoDB service team as the voice of the customer for defining and prioritizing service features. Lead enablement by training Solutions Architects, Professional Services Consultants, and Technical Account Managers. Capture and share best practice knowledge with customers and the worldwide AWS solutions architect community. Contribute to the AWS Database Blog, service documentation, and reference architectures. Present at industry events to educate customers and evangelize AWS and DynamoDB. A day in the life As a DynamoDB Specialist Solutions Architect, you work alongside a team of NoSQL specialists spanning DocumentDB, Neptune, Keyspaces, ElastiCache, and MemoryDB. Together, you help customers design purpose built database architectures - and increasingly, that means powering the next generation of agentic AI applications. Your work centers on customer engagements where DynamoDB plays a critical role in modern architectures. You might spend part of your day designing a session and memory store for an autonomous AI agent framework, ensuring conversation state, tool use history, and retrieval context persist at scale with single digit millisecond latency. You collaborate with your Neptune colleague on the knowledge graph layer while you own the fast access transactional tier that keeps agents responsive and stateful. Other engagements are just as varied. One customer needs a multi tenant SaaS platform with complex access patterns. Another is building an event driven pipeline where DynamoDB Streams feed downstream AI orchestration. In each case, you design partition strategies, define GSI patterns, and articulate why DynamoDB fits this part of the architecture while a different NoSQL engine serves another. You also translate deep technical expertise into broader impact - building reference architectures, presenting to engineering leadership, and contributing to internal enablement across the specialist team. You share patterns across database boundaries, offering partition key insights to a Keyspaces engagement or reviewing a DocumentDB schema with fresh eyes. The common thread is helping customers choose the right database for each workload, use it well, and build architectures ready for what comes next - whether that's agentic AI, real time personalization, or massive scale IoT. About the team Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings and host annual and ongoing learning experiences, conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Basic Qualifications Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military Experience in IT development or implementation/consulting in the software or Internet industries Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) Experience in design, implementation, or consulting in applications and infrastructures Experience communicating across technical and non technical audiences, including executive level stakeholders or clients Preferred Qualifications Experience working with end user or developer communities Experience in infrastructure architecture, database architecture and networking Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
25/07/2026
Full time
Worldwide Specialist Solutions Architect - Database, Data & AI Specialist Job ID: AWS EMEA SARL (UK Branch) Are you passionate about building applications with NoSQL databases? Amazon Web Services is looking for an experienced NoSQL Solutions Architect to work directly with AWS customers to design cloud based NoSQL solutions using Amazon DynamoDB, a scalable and highly available server less NoSQL database, designed for mission critical applications. You will have the opportunity to work with prominent startups and large enterprises, helping them architect scalable NoSQL solutions using Amazon DynamoDB. You will dive deep into the details of customer problems and work with internal AWS service teams to create solutions that solve customer needs. You will partner with AWS sales, business development, solutions architecture, and product teams to develop the internal expertise needed to grow DynamoDB related revenue. Key job responsibilities Collaborate with AWS field sales, pre sales, training and support teams to help customers learn about and use DynamoDB. Provide definitive guidance for customers in choosing the right database services and approaches. Be a trusted collaborator for the DynamoDB service team as the voice of the customer for defining and prioritizing service features. Lead enablement by training Solutions Architects, Professional Services Consultants, and Technical Account Managers. Capture and share best practice knowledge with customers and the worldwide AWS solutions architect community. Contribute to the AWS Database Blog, service documentation, and reference architectures. Present at industry events to educate customers and evangelize AWS and DynamoDB. A day in the life As a DynamoDB Specialist Solutions Architect, you work alongside a team of NoSQL specialists spanning DocumentDB, Neptune, Keyspaces, ElastiCache, and MemoryDB. Together, you help customers design purpose built database architectures - and increasingly, that means powering the next generation of agentic AI applications. Your work centers on customer engagements where DynamoDB plays a critical role in modern architectures. You might spend part of your day designing a session and memory store for an autonomous AI agent framework, ensuring conversation state, tool use history, and retrieval context persist at scale with single digit millisecond latency. You collaborate with your Neptune colleague on the knowledge graph layer while you own the fast access transactional tier that keeps agents responsive and stateful. Other engagements are just as varied. One customer needs a multi tenant SaaS platform with complex access patterns. Another is building an event driven pipeline where DynamoDB Streams feed downstream AI orchestration. In each case, you design partition strategies, define GSI patterns, and articulate why DynamoDB fits this part of the architecture while a different NoSQL engine serves another. You also translate deep technical expertise into broader impact - building reference architectures, presenting to engineering leadership, and contributing to internal enablement across the specialist team. You share patterns across database boundaries, offering partition key insights to a Keyspaces engagement or reviewing a DocumentDB schema with fresh eyes. The common thread is helping customers choose the right database for each workload, use it well, and build architectures ready for what comes next - whether that's agentic AI, real time personalization, or massive scale IoT. About the team Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings and host annual and ongoing learning experiences, conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Basic Qualifications Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military Experience in IT development or implementation/consulting in the software or Internet industries Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) Experience in design, implementation, or consulting in applications and infrastructures Experience communicating across technical and non technical audiences, including executive level stakeholders or clients Preferred Qualifications Experience working with end user or developer communities Experience in infrastructure architecture, database architecture and networking Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
About Us At Oakland, we help businesses unlock the power of their data. Whether it's data strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is made up of friendly, hands on experts who love solving problems and making a difference. We don't just advise, we roll up our sleeves and get stuck in, working alongside our clients every step of the way. Founded in 1986 out of our Leeds HQ, we work with a diverse range of clients across all sorts of industries including Utilities, Telecommunications, Media, Financial Services, Public Sector, and many more! Our projects range from multi year data transformations to specific, shorter term assignments, so you'll have plenty of opportunities to diversify your skillset. We meet high standards for social and environmental impact, transparency, and accountability. We believe businesses should be a force for good, so we make sure our decisions don't just benefit the bottom line but also our people, communities, and the planet. And it's not just us saying we're a great place to work we were recently named a Top 5 Best Consultancy to work for in the UK through Best Companies! We're all about creating an environment where people can grow, do meaningful work, and enjoy the journey. In April 2025, Oakland was acquired by Softcat, a leading provider of IT infrastructure services to corporate and public sectors. By combining Oakland's deep expertise in data and AI consulting with Softcat's extensive portfolio and market presence, we can deliver unparalleled value and innovation to our clients. This partnership marks a significant milestone in our journey, and we're looking forward to achieving great things together. The Role: As a senior data engineer in this tech agnostic consultancy, you will develop broad and adaptable skillsets. You'll remain hands on while also providing technical leadership across projects, teams, and clients. You'll have the ability to quickly understand new technologies, evaluate their suitability, and guide teams toward pragmatic, scalable solutions. No two projects are the same, so we encourage our engineers to become technology polyglots and select the right tools for each client's needs. Alongside delivering high quality engineering outcomes, you'll play a key role in shaping technical direction, mentoring colleagues, contributing to solution architecture, and supporting client stakeholders through complex technical challenges. Our work spans data platform implementations, business intelligence, software engineering, AI solutions, and cloud transformation projects, giving you the opportunity to work across a wide range of technologies while being part of a talented community of 25+ engineers. We expect you to have: Strong proficiency with SQL, Python, and at least one additional programming language (e.g. C#, Java, JavaScript, TypeScript, C++). Significant experience designing, building, and supporting scalable engineering solutions. Experience working within cloud environments (Azure, AWS, or GCP). A strong understanding of engineering best practices, including testing, code quality, version control, and design patterns. Experience leading technical workstreams, owning technical decisions, and providing guidance to other engineers. The ability to work directly with clients to gather requirements, translate business needs into technical solutions, and communicate complex concepts to technical and non technical audiences. Experience in mentoring, coaching, and supporting the development of junior and mid level engineers. It would be nice to have any of the below: Experience designing and implementing modern data platforms using technologies such as Microsoft Fabric, Snowflake, Databricks, or similar. Experience with solution and/or data architecture. Front end software engineering experience, including building web applications with React (or similar frameworks). Strong DevOps and platform engineering experience, including Infrastructure as Code, CI/CD, observability, and tools such as Docker, Terraform, and Kubernetes. AI engineering and architecture experience, including GenAI, LLMs, RAG, agentic systems, and prompt engineering. Experience supporting pre sales activities, technical discovery workshops, estimations, and proposal creation. Certifications (Desirable): Azure certifications such as DP-700, DP-600, AZ-305, or AI focused certifications such as AI 900 and AI 103. Snowflake SnowPro Core or SnowPro Specialty or Advanced certifications. Equivalent certifications in cloud, data, AI, architecture, or software engineering technologies. Blended Working: We operate a blended working model, with colleagues spending at least two days per week in the office, aligned to project team requirements. Occasional travel to client sites may also be required. This balance helps us stay connected, learn from each other, and build strong relationships - both within our team and with the businesses we support. Benefits That Put You First: Health & Wellbeing - Enjoy private healthcare from day one for you and your household, including dental cover, physiotherapy, mental health support, and access to a range of wellbeing services to keep you feeling your best. Discretionary Bonus - Your hard work won't go unnoticed. When we do well, you'll do well. Generous Pension - We invest in your future with a 10% employer contribution, plus flexible options so you can adjust to your investment preferences. Giving Back - Support causes you care about with our payroll giving scheme and matched charitable giving program. Bike to Work Scheme - Save money, stay active, and enjoy tax savings on a new bike. Family Friendly Policies - We support all paths to parenthood with: Enhanced Maternity Pay - 16 weeks full pay, 10 weeks half pay. Enhanced Paternity Pay - 2 weeks full pay, 2 weeks half pay. Adoption, Surrogacy & Shared Parental Leave. Fertility Treatment Support - Because your family matters. Time to Recharge - 25 days annual leave plus bank holidays (and your allowance grows the longer you're with us!). Learning & Development - We invest in you with: Personalised development plans tailored to your goals. Full support for certifications. Access to The Oakland Academy for a suite of learning materials. An annual personal learning budget to upskill in ways that matter to you. Refer & Earn - Know someone great? If they join us, you'll get a referral bonus as a thank you. Diversity, Equity, Inclusion & Belonging at Oakland: At Oakland, we believe that diverse perspectives drive better outcomes - not just for our people, but our clients and our business. Our commitment to DEIB is not just about policies; it's about creating a workplace where everyone feels heard, valued, and empowered to thrive. We are building a truly inclusive Oakland where you can be yourself - no matter your background, gender, age, race, ethnicity, disability, sexual orientation, or any other characteristic that makes you, you. Fair & Inclusive Hiring: Every interviewer completes recruitment and unconscious bias training, and our hiring process is skills based and structured to ensure fairness and consistency for all candidates. Support Throughout the Interview Process: If you require any reasonable accommodations to make your interview experience more accessible, our Talent team is here to help - just let us know.
24/07/2026
Full time
About Us At Oakland, we help businesses unlock the power of their data. Whether it's data strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is made up of friendly, hands on experts who love solving problems and making a difference. We don't just advise, we roll up our sleeves and get stuck in, working alongside our clients every step of the way. Founded in 1986 out of our Leeds HQ, we work with a diverse range of clients across all sorts of industries including Utilities, Telecommunications, Media, Financial Services, Public Sector, and many more! Our projects range from multi year data transformations to specific, shorter term assignments, so you'll have plenty of opportunities to diversify your skillset. We meet high standards for social and environmental impact, transparency, and accountability. We believe businesses should be a force for good, so we make sure our decisions don't just benefit the bottom line but also our people, communities, and the planet. And it's not just us saying we're a great place to work we were recently named a Top 5 Best Consultancy to work for in the UK through Best Companies! We're all about creating an environment where people can grow, do meaningful work, and enjoy the journey. In April 2025, Oakland was acquired by Softcat, a leading provider of IT infrastructure services to corporate and public sectors. By combining Oakland's deep expertise in data and AI consulting with Softcat's extensive portfolio and market presence, we can deliver unparalleled value and innovation to our clients. This partnership marks a significant milestone in our journey, and we're looking forward to achieving great things together. The Role: As a senior data engineer in this tech agnostic consultancy, you will develop broad and adaptable skillsets. You'll remain hands on while also providing technical leadership across projects, teams, and clients. You'll have the ability to quickly understand new technologies, evaluate their suitability, and guide teams toward pragmatic, scalable solutions. No two projects are the same, so we encourage our engineers to become technology polyglots and select the right tools for each client's needs. Alongside delivering high quality engineering outcomes, you'll play a key role in shaping technical direction, mentoring colleagues, contributing to solution architecture, and supporting client stakeholders through complex technical challenges. Our work spans data platform implementations, business intelligence, software engineering, AI solutions, and cloud transformation projects, giving you the opportunity to work across a wide range of technologies while being part of a talented community of 25+ engineers. We expect you to have: Strong proficiency with SQL, Python, and at least one additional programming language (e.g. C#, Java, JavaScript, TypeScript, C++). Significant experience designing, building, and supporting scalable engineering solutions. Experience working within cloud environments (Azure, AWS, or GCP). A strong understanding of engineering best practices, including testing, code quality, version control, and design patterns. Experience leading technical workstreams, owning technical decisions, and providing guidance to other engineers. The ability to work directly with clients to gather requirements, translate business needs into technical solutions, and communicate complex concepts to technical and non technical audiences. Experience in mentoring, coaching, and supporting the development of junior and mid level engineers. It would be nice to have any of the below: Experience designing and implementing modern data platforms using technologies such as Microsoft Fabric, Snowflake, Databricks, or similar. Experience with solution and/or data architecture. Front end software engineering experience, including building web applications with React (or similar frameworks). Strong DevOps and platform engineering experience, including Infrastructure as Code, CI/CD, observability, and tools such as Docker, Terraform, and Kubernetes. AI engineering and architecture experience, including GenAI, LLMs, RAG, agentic systems, and prompt engineering. Experience supporting pre sales activities, technical discovery workshops, estimations, and proposal creation. Certifications (Desirable): Azure certifications such as DP-700, DP-600, AZ-305, or AI focused certifications such as AI 900 and AI 103. Snowflake SnowPro Core or SnowPro Specialty or Advanced certifications. Equivalent certifications in cloud, data, AI, architecture, or software engineering technologies. Blended Working: We operate a blended working model, with colleagues spending at least two days per week in the office, aligned to project team requirements. Occasional travel to client sites may also be required. This balance helps us stay connected, learn from each other, and build strong relationships - both within our team and with the businesses we support. Benefits That Put You First: Health & Wellbeing - Enjoy private healthcare from day one for you and your household, including dental cover, physiotherapy, mental health support, and access to a range of wellbeing services to keep you feeling your best. Discretionary Bonus - Your hard work won't go unnoticed. When we do well, you'll do well. Generous Pension - We invest in your future with a 10% employer contribution, plus flexible options so you can adjust to your investment preferences. Giving Back - Support causes you care about with our payroll giving scheme and matched charitable giving program. Bike to Work Scheme - Save money, stay active, and enjoy tax savings on a new bike. Family Friendly Policies - We support all paths to parenthood with: Enhanced Maternity Pay - 16 weeks full pay, 10 weeks half pay. Enhanced Paternity Pay - 2 weeks full pay, 2 weeks half pay. Adoption, Surrogacy & Shared Parental Leave. Fertility Treatment Support - Because your family matters. Time to Recharge - 25 days annual leave plus bank holidays (and your allowance grows the longer you're with us!). Learning & Development - We invest in you with: Personalised development plans tailored to your goals. Full support for certifications. Access to The Oakland Academy for a suite of learning materials. An annual personal learning budget to upskill in ways that matter to you. Refer & Earn - Know someone great? If they join us, you'll get a referral bonus as a thank you. Diversity, Equity, Inclusion & Belonging at Oakland: At Oakland, we believe that diverse perspectives drive better outcomes - not just for our people, but our clients and our business. Our commitment to DEIB is not just about policies; it's about creating a workplace where everyone feels heard, valued, and empowered to thrive. We are building a truly inclusive Oakland where you can be yourself - no matter your background, gender, age, race, ethnicity, disability, sexual orientation, or any other characteristic that makes you, you. Fair & Inclusive Hiring: Every interviewer completes recruitment and unconscious bias training, and our hiring process is skills based and structured to ensure fairness and consistency for all candidates. Support Throughout the Interview Process: If you require any reasonable accommodations to make your interview experience more accessible, our Talent team is here to help - just let us know.
Data Scientist Salary: £60,000 - £90,000 + Equity Potential Location: London (Hybrid) Security Requirement: Must be eligible for SC Clearance (minimum 5 years continuous UK residency) Help Build the Future of AI-Powered Public Safety We're partnering with a highly ambitious, venture-backed technology company operating in stealth mode. Their mission is to become the world's leading AI company serving the law enforcement and public safety sector. The Opportunity We're looking for a Data Scientist with strong experience in time-series analysis, signal processing and applied machine learning. This role focuses on transforming complex streams of telemetry data, including heart rate, movement, location and stress indicators, into meaningful behavioural and operational insights. This isn't a traditional data science role centred around dashboards or reporting. Instead, you'll be responsible for building the inference layer that sits between raw sensor data and real-world decision making. You'll develop models that identify patterns, detect anomalies and establish behavioural baselines, helping create AI-powered systems capable of delivering critical insights in real time. We're particularly interested in candidates with experience working on wearable technology, physiological data, telemetry platforms, IoT devices or other sensor-based environments. Key Responsibilities Develop machine learning models and inference systems using complex sensor and telemetry data. Analyse multivariate time-series datasets to identify behavioural patterns and operational insights. Build anomaly detection and behavioural baselining models. Translate raw telemetry streams into meaningful, actionable intelligence. Work with streaming and low-latency data architectures to support real-time decision making. Collaborate with software engineers and AI specialists to take solutions from research through to production deployment. Continuously optimise model performance, accuracy and scalability. Contribute to technical strategy, experimentation and product development. Take ownership of complex problems across data science, product and engineering domains. What We're Looking For Essential Experience Strong commercial experience in Data Science, Machine Learning or Applied AI roles. Hands-on experience working with time-series data and signal processing. Experience analysing telemetry, sensor, wearable, physiological or similar real-world datasets. Strong understanding of multivariate time-series modelling. Experience developing anomaly detection and behavioural baselining solutions. Ability to take machine learning solutions from research and experimentation into production environments. Experience solving complex problems through iteration, optimisation and experimentation. Strong coding and analytical skills. Ability to work autonomously within a fast-paced, highly collaborative environment. Previous experience within a start-up, scale-up or SME setting. Highly Desirable Experience working with smart watches, wearable health technology or IoT platforms. Exposure to low-latency or streaming inference architectures. Experience working within public safety, security, defence, healthcare or other regulated sectors. Why Join? Join a stealth-mode AI business with significant growth ambitions. Work on technology with genuine impact in public safety and law enforcement. Help build AI products from the ground up.
14/07/2026
Full time
Data Scientist Salary: £60,000 - £90,000 + Equity Potential Location: London (Hybrid) Security Requirement: Must be eligible for SC Clearance (minimum 5 years continuous UK residency) Help Build the Future of AI-Powered Public Safety We're partnering with a highly ambitious, venture-backed technology company operating in stealth mode. Their mission is to become the world's leading AI company serving the law enforcement and public safety sector. The Opportunity We're looking for a Data Scientist with strong experience in time-series analysis, signal processing and applied machine learning. This role focuses on transforming complex streams of telemetry data, including heart rate, movement, location and stress indicators, into meaningful behavioural and operational insights. This isn't a traditional data science role centred around dashboards or reporting. Instead, you'll be responsible for building the inference layer that sits between raw sensor data and real-world decision making. You'll develop models that identify patterns, detect anomalies and establish behavioural baselines, helping create AI-powered systems capable of delivering critical insights in real time. We're particularly interested in candidates with experience working on wearable technology, physiological data, telemetry platforms, IoT devices or other sensor-based environments. Key Responsibilities Develop machine learning models and inference systems using complex sensor and telemetry data. Analyse multivariate time-series datasets to identify behavioural patterns and operational insights. Build anomaly detection and behavioural baselining models. Translate raw telemetry streams into meaningful, actionable intelligence. Work with streaming and low-latency data architectures to support real-time decision making. Collaborate with software engineers and AI specialists to take solutions from research through to production deployment. Continuously optimise model performance, accuracy and scalability. Contribute to technical strategy, experimentation and product development. Take ownership of complex problems across data science, product and engineering domains. What We're Looking For Essential Experience Strong commercial experience in Data Science, Machine Learning or Applied AI roles. Hands-on experience working with time-series data and signal processing. Experience analysing telemetry, sensor, wearable, physiological or similar real-world datasets. Strong understanding of multivariate time-series modelling. Experience developing anomaly detection and behavioural baselining solutions. Ability to take machine learning solutions from research and experimentation into production environments. Experience solving complex problems through iteration, optimisation and experimentation. Strong coding and analytical skills. Ability to work autonomously within a fast-paced, highly collaborative environment. Previous experience within a start-up, scale-up or SME setting. Highly Desirable Experience working with smart watches, wearable health technology or IoT platforms. Exposure to low-latency or streaming inference architectures. Experience working within public safety, security, defence, healthcare or other regulated sectors. Why Join? Join a stealth-mode AI business with significant growth ambitions. Work on technology with genuine impact in public safety and law enforcement. Help build AI products from the ground up.
Cognite - AI for Industry
London Colney, Hertfordshire
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. How you'll demonstrate Ownership At Cognite, we're transforming the world's most asset-intensive industries through Industrial AI. Our customers rely on us to turn complex industrial data into meaningful business outcomes-and this is where you come in. We're looking for a Project Manager who enjoys solving complex challenges, takes ownership of outcomes, and is motivated by delivering measurable value. This role goes beyond managing timelines; you'll lead transformational AI implementation projects that help some of the world's largest industrial organisations modernise the way they operate. From contract signing through deployment and value realisation, you'll partner with customers and cross functional teams to deliver successful projects that create lasting business impact. The Impact you bring to Cognite Leading end-to-end project delivery from kickoff through deployment, adoption, and value realisation. Owning project scope, schedule, budget, quality, customer outcomes, and commercial performance. Collaborating with Solution Architects, Software Engineers, Data Scientists, Product teams, and Customer Success to deliver high quality solutions. Translating customer objectives into measurable success metrics and facilitating Value Realisation Workshops to demonstrate business impact. Managing project financials, including forecasting, revenue recognition, profitability, cost management, and reporting. Building trusted relationships with customer stakeholders, leading steering committees, and providing clear communication throughout the project lifecycle. Identifying and managing risks, dependencies, and scope changes while ensuring appropriate governance and transparency. Supporting customer adoption through change management, enablement, and training while recognising opportunities to expand customer value. Contributing to the continuous improvement of delivery practices by applying Cognite's PMO methodologies, playbooks, and lessons learned. Required Qualifications A Bachelor's degree in Engineering, Computer Science, or a related technical discipline. 5+ years of experience delivering complex software, SaaS, cloud, or enterprise technology implementation projects. Experience managing enterprise or industrial digital transformation programmes involving multiple stakeholders and technical workstreams. Technical fluency with APIs, integrations, cloud platforms, data architecture, and enterprise systems, enabling effective collaboration with technical teams and informed decision making. Strong commercial and financial acumen, including forecasting, revenue recognition, margin management, and project profitability. Experience within one or more industrial sectors, including Energy, Manufacturing, Oil & Gas, Chemicals, Utilities, Power & Renewables, or Life Sciences. Experience working with Agile delivery methodologies and project governance frameworks such as Scrum, PMP, or PRINCE2. Excellent communication and stakeholder management skills, with the ability to engage confidently across technical teams, customers, and executive stakeholders. Experience using project management tools such as Jira, Confluence, Microsoft Project, or Smartsheet. Willingness to travel up to 25% as required. Preferred skills PMP, PRINCE2, Agile, or Scrum certification. Cloud platforms such as Azure or AWS. Industrial IoT, SCADA, MES, or Operational Technology (OT) environments. AI, Machine Learning, Data Engineering, or Analytics implementation projects. Why Cognite? At Cognite, you'll have the opportunity to work at the forefront of Industrial AI, partnering with some of the world's leading industrial organisations to solve complex, real world challenges. You'll join a collaborative, inclusive, and fast moving environment where innovation, curiosity, and continuous learning are encouraged. We value diverse perspectives and believe great ideas come from people with different experiences and backgrounds. If you're excited by technology, enjoy working with customers to solve meaningful problems, and want to help shape the future of industry, we'd love to hear from you. Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
09/07/2026
Full time
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. How you'll demonstrate Ownership At Cognite, we're transforming the world's most asset-intensive industries through Industrial AI. Our customers rely on us to turn complex industrial data into meaningful business outcomes-and this is where you come in. We're looking for a Project Manager who enjoys solving complex challenges, takes ownership of outcomes, and is motivated by delivering measurable value. This role goes beyond managing timelines; you'll lead transformational AI implementation projects that help some of the world's largest industrial organisations modernise the way they operate. From contract signing through deployment and value realisation, you'll partner with customers and cross functional teams to deliver successful projects that create lasting business impact. The Impact you bring to Cognite Leading end-to-end project delivery from kickoff through deployment, adoption, and value realisation. Owning project scope, schedule, budget, quality, customer outcomes, and commercial performance. Collaborating with Solution Architects, Software Engineers, Data Scientists, Product teams, and Customer Success to deliver high quality solutions. Translating customer objectives into measurable success metrics and facilitating Value Realisation Workshops to demonstrate business impact. Managing project financials, including forecasting, revenue recognition, profitability, cost management, and reporting. Building trusted relationships with customer stakeholders, leading steering committees, and providing clear communication throughout the project lifecycle. Identifying and managing risks, dependencies, and scope changes while ensuring appropriate governance and transparency. Supporting customer adoption through change management, enablement, and training while recognising opportunities to expand customer value. Contributing to the continuous improvement of delivery practices by applying Cognite's PMO methodologies, playbooks, and lessons learned. Required Qualifications A Bachelor's degree in Engineering, Computer Science, or a related technical discipline. 5+ years of experience delivering complex software, SaaS, cloud, or enterprise technology implementation projects. Experience managing enterprise or industrial digital transformation programmes involving multiple stakeholders and technical workstreams. Technical fluency with APIs, integrations, cloud platforms, data architecture, and enterprise systems, enabling effective collaboration with technical teams and informed decision making. Strong commercial and financial acumen, including forecasting, revenue recognition, margin management, and project profitability. Experience within one or more industrial sectors, including Energy, Manufacturing, Oil & Gas, Chemicals, Utilities, Power & Renewables, or Life Sciences. Experience working with Agile delivery methodologies and project governance frameworks such as Scrum, PMP, or PRINCE2. Excellent communication and stakeholder management skills, with the ability to engage confidently across technical teams, customers, and executive stakeholders. Experience using project management tools such as Jira, Confluence, Microsoft Project, or Smartsheet. Willingness to travel up to 25% as required. Preferred skills PMP, PRINCE2, Agile, or Scrum certification. Cloud platforms such as Azure or AWS. Industrial IoT, SCADA, MES, or Operational Technology (OT) environments. AI, Machine Learning, Data Engineering, or Analytics implementation projects. Why Cognite? At Cognite, you'll have the opportunity to work at the forefront of Industrial AI, partnering with some of the world's leading industrial organisations to solve complex, real world challenges. You'll join a collaborative, inclusive, and fast moving environment where innovation, curiosity, and continuous learning are encouraged. We value diverse perspectives and believe great ideas come from people with different experiences and backgrounds. If you're excited by technology, enjoy working with customers to solve meaningful problems, and want to help shape the future of industry, we'd love to hear from you. Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. How you'll demonstrate Ownership At Cognite, we're transforming the world's most asset-intensive industries through Industrial AI. Our customers rely on us to turn complex industrial data into meaningful business outcomes-and this is where you come in. We're looking for a Project Manager who enjoys solving complex challenges, takes ownership of outcomes, and is motivated by delivering measurable value. This role goes beyond managing timelines; you'll lead transformational AI implementation projects that help some of the world's largest industrial organisations modernise the way they operate. From contract signing through deployment and value realisation, you'll partner with customers and cross-functional teams to deliver successful projects that create lasting business impact. The Impact you bring to Cognite As the Project Manager, you'll be accountable for the successful delivery of complex Industrial AI implementation projects by: Leading end-to-end project delivery from kickoff through deployment, adoption, and value realisation. Owning project scope, schedule, budget, quality, customer outcomes, and commercial performance. Collaborating with Solution Architects, Software Engineers, Data Scientists, Product teams, and Customer Success to deliver high quality solutions. Translating customer objectives into measurable success metrics and facilitating Value Realisation Workshops to demonstrate business impact. Managing project financials, including forecasting, revenue recognition, profitability, cost management, and reporting. Building trusted relationships with customer stakeholders, leading steering committees, and providing clear communication throughout the project lifecycle. Identifying and managing risks, dependencies, and scope changes while ensuring appropriate governance and transparency. Supporting customer adoption through change management, enablement, and training while recognising opportunities to expand customer value. Contributing to the continuous improvement of delivery practices by applying Cognite's PMO methodologies, playbooks, and lessons learned. Required Qualifications: A Bachelor's degree in Engineering, Computer Science, or a related technical discipline. 5+ years of experience delivering complex software, SaaS, cloud, or enterprise technology implementation projects. Experience managing enterprise or industrial digital transformation programmes involving multiple stakeholders and technical workstreams. Technical fluency with APIs, integrations, cloud platforms, data architecture, and enterprise systems, enabling effective collaboration with technical teams and informed decision making. Strong commercial and financial acumen, including forecasting, revenue recognition, margin management, and project profitability. Experience within one or more industrial sectors, including Energy, Manufacturing, Oil & Gas, Chemicals, Utilities, Power & Renewables, or Life Sciences. Experience working with Agile delivery methodologies and project governance frameworks such as Scrum, PMP, or PRINCE2. Excellent communication and stakeholder management skills, with the ability to engage confidently across technical teams, customers, and executive stakeholders. Experience using project management tools such as Jira, Confluence, Microsoft Project, or Smartsheet. Willingness to travel up to 25% as required. Preferred skills: We're particularly interested if you also bring experience in: PMP, PRINCE2, Agile, or Scrum certification. Cloud platforms such as Azure or AWS. Industrial IoT, SCADA, MES, or Operational Technology (OT) environments. AI, Machine Learning, Data Engineering, or Analytics implementation projects. Why Cognite? At Cognite, you'll have the opportunity to work at the forefront of Industrial AI, partnering with some of the world's leading industrial organisations to solve complex, real world challenges. You'll join a collaborative, inclusive, and fast moving environment where innovation, curiosity, and continuous learning are encouraged. We value diverse perspectives and believe great ideas come from people with different experiences and backgrounds. If you're excited by technology, enjoy working with customers to solve meaningful problems, and want to help shape the future of industry, we'd love to hear from you. We're globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo, Tokyo, Bengaluru, and Abu Dhabi. Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
06/07/2026
Full time
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. How you'll demonstrate Ownership At Cognite, we're transforming the world's most asset-intensive industries through Industrial AI. Our customers rely on us to turn complex industrial data into meaningful business outcomes-and this is where you come in. We're looking for a Project Manager who enjoys solving complex challenges, takes ownership of outcomes, and is motivated by delivering measurable value. This role goes beyond managing timelines; you'll lead transformational AI implementation projects that help some of the world's largest industrial organisations modernise the way they operate. From contract signing through deployment and value realisation, you'll partner with customers and cross-functional teams to deliver successful projects that create lasting business impact. The Impact you bring to Cognite As the Project Manager, you'll be accountable for the successful delivery of complex Industrial AI implementation projects by: Leading end-to-end project delivery from kickoff through deployment, adoption, and value realisation. Owning project scope, schedule, budget, quality, customer outcomes, and commercial performance. Collaborating with Solution Architects, Software Engineers, Data Scientists, Product teams, and Customer Success to deliver high quality solutions. Translating customer objectives into measurable success metrics and facilitating Value Realisation Workshops to demonstrate business impact. Managing project financials, including forecasting, revenue recognition, profitability, cost management, and reporting. Building trusted relationships with customer stakeholders, leading steering committees, and providing clear communication throughout the project lifecycle. Identifying and managing risks, dependencies, and scope changes while ensuring appropriate governance and transparency. Supporting customer adoption through change management, enablement, and training while recognising opportunities to expand customer value. Contributing to the continuous improvement of delivery practices by applying Cognite's PMO methodologies, playbooks, and lessons learned. Required Qualifications: A Bachelor's degree in Engineering, Computer Science, or a related technical discipline. 5+ years of experience delivering complex software, SaaS, cloud, or enterprise technology implementation projects. Experience managing enterprise or industrial digital transformation programmes involving multiple stakeholders and technical workstreams. Technical fluency with APIs, integrations, cloud platforms, data architecture, and enterprise systems, enabling effective collaboration with technical teams and informed decision making. Strong commercial and financial acumen, including forecasting, revenue recognition, margin management, and project profitability. Experience within one or more industrial sectors, including Energy, Manufacturing, Oil & Gas, Chemicals, Utilities, Power & Renewables, or Life Sciences. Experience working with Agile delivery methodologies and project governance frameworks such as Scrum, PMP, or PRINCE2. Excellent communication and stakeholder management skills, with the ability to engage confidently across technical teams, customers, and executive stakeholders. Experience using project management tools such as Jira, Confluence, Microsoft Project, or Smartsheet. Willingness to travel up to 25% as required. Preferred skills: We're particularly interested if you also bring experience in: PMP, PRINCE2, Agile, or Scrum certification. Cloud platforms such as Azure or AWS. Industrial IoT, SCADA, MES, or Operational Technology (OT) environments. AI, Machine Learning, Data Engineering, or Analytics implementation projects. Why Cognite? At Cognite, you'll have the opportunity to work at the forefront of Industrial AI, partnering with some of the world's leading industrial organisations to solve complex, real world challenges. You'll join a collaborative, inclusive, and fast moving environment where innovation, curiosity, and continuous learning are encouraged. We value diverse perspectives and believe great ideas come from people with different experiences and backgrounds. If you're excited by technology, enjoy working with customers to solve meaningful problems, and want to help shape the future of industry, we'd love to hear from you. We're globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo, Tokyo, Bengaluru, and Abu Dhabi. Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
About Tacit We're hiring engineers who want to work at the intersection of AI and the built environment and help make the world's buildings dramatically smarter. Tacit is a University College London (UCL) spinout turning over a decade of research into commercial reality. We extract fragmented building data (BMS feeds, BIM models, IoT sensors, maintenance logs) and integrate it into a contextual layer that enables explainable AI agents to diagnose, decide, and act. We're early-stage, well-funded, and already deploying with real clients across heritage, education, and commercial portfolios. Here's what you'll be doing This is a product engineering role: you'll own the full stack, from how building data flows in to how it's stored, queried, and surfaced to users and AI agents. You'll make real architectural decisions and work directly with the founders. Design and build the core data ingestion and retrieval systems that handle BMS telemetry, BIM models, IoT streams, and metadata, using Python, Java, Go (Django, Spring, EdgeX frameworks). Build the features clients interact with daily across React, TypeScript, and our backend. Own the knowledge graph infrastructure (RDF triple stores such as GraphDB or Fuseki, SPARQL endpoints, SHACL validation) and ensure it performs at portfolio scale. Build and expose the Universal Building API (GraphQL/REST) that powers our 3D twin, AI agents, and third-party integrations. You need these qualifications You have 4+ years of software engineering experience. You've built and operated systems in production: APIs, databases, task queues, caching, deployments. Proficient in Python or Java (Django or Spring), PostgreSQL, GraphQL. Comfortable with full-stack development with React, TypeScript, TanStack, Tailwind. You've designed and operated data-intensive systems and understand architectural concepts like schema design, migrations, query performance, indexing, caching. Experience with containerisation and deployment tooling such as Docker, Kubernetes, and Terraform. Ability to operate with high autonomy in an early-stage environment. You are comfortable making decisions with incomplete information and owning the outcomes. It would be nice if You've worked with knowledge graphs, RDF, SPARQL, or graph databases (Neo4j, Ontotext GraphDB, Fuseki). You've built APIs with GraphQL (Strawberry, Ariadne, or similar) and/or worked with semantic web technologies (OWL, SHACL). You have experience with actor-based concurrency frameworks (Apache Pekko, Akka) or event-driven architectures. You've worked in the built environment, PropTech, or industrial IoT. What we offer Competitive salary (adjusted by location) plus equity in the business. Pension contribution. Flexible, remote-first working. We get together in London and Athens regularly, so expect around 10-20% travel. Dedicated AI-focused learning and development budget.
04/07/2026
Full time
About Tacit We're hiring engineers who want to work at the intersection of AI and the built environment and help make the world's buildings dramatically smarter. Tacit is a University College London (UCL) spinout turning over a decade of research into commercial reality. We extract fragmented building data (BMS feeds, BIM models, IoT sensors, maintenance logs) and integrate it into a contextual layer that enables explainable AI agents to diagnose, decide, and act. We're early-stage, well-funded, and already deploying with real clients across heritage, education, and commercial portfolios. Here's what you'll be doing This is a product engineering role: you'll own the full stack, from how building data flows in to how it's stored, queried, and surfaced to users and AI agents. You'll make real architectural decisions and work directly with the founders. Design and build the core data ingestion and retrieval systems that handle BMS telemetry, BIM models, IoT streams, and metadata, using Python, Java, Go (Django, Spring, EdgeX frameworks). Build the features clients interact with daily across React, TypeScript, and our backend. Own the knowledge graph infrastructure (RDF triple stores such as GraphDB or Fuseki, SPARQL endpoints, SHACL validation) and ensure it performs at portfolio scale. Build and expose the Universal Building API (GraphQL/REST) that powers our 3D twin, AI agents, and third-party integrations. You need these qualifications You have 4+ years of software engineering experience. You've built and operated systems in production: APIs, databases, task queues, caching, deployments. Proficient in Python or Java (Django or Spring), PostgreSQL, GraphQL. Comfortable with full-stack development with React, TypeScript, TanStack, Tailwind. You've designed and operated data-intensive systems and understand architectural concepts like schema design, migrations, query performance, indexing, caching. Experience with containerisation and deployment tooling such as Docker, Kubernetes, and Terraform. Ability to operate with high autonomy in an early-stage environment. You are comfortable making decisions with incomplete information and owning the outcomes. It would be nice if You've worked with knowledge graphs, RDF, SPARQL, or graph databases (Neo4j, Ontotext GraphDB, Fuseki). You've built APIs with GraphQL (Strawberry, Ariadne, or similar) and/or worked with semantic web technologies (OWL, SHACL). You have experience with actor-based concurrency frameworks (Apache Pekko, Akka) or event-driven architectures. You've worked in the built environment, PropTech, or industrial IoT. What we offer Competitive salary (adjusted by location) plus equity in the business. Pension contribution. Flexible, remote-first working. We get together in London and Athens regularly, so expect around 10-20% travel. Dedicated AI-focused learning and development budget.
About Tacit We're hiring engineers who want to work at the intersection of AI and the built environment and help make the world's buildings dramatically smarter. Tacit is a University College London (UCL) spinout turning over a decade of research into commercial reality. We extract fragmented building data (BMS feeds, BIM models, IoT sensors, maintenance logs) and integrate it into a contextual layer that enables explainable AI agents to diagnose, decide, and act. We're early-stage, well-funded, and already deploying with real clients across heritage, education, and commercial portfolios. Here's what you'll be doing This is a product engineering role: you'll own the full stack, from how building data flows in to how it's stored, queried, and surfaced to users and AI agents. You'll make real architectural decisions and work directly with the founders. Design and build the core data ingestion and retrieval systems that handle BMS telemetry, BIM models, IoT streams, and metadata, using Python, Java, Go (Django, Spring, EdgeX frameworks). Build the features clients interact with daily across React, TypeScript, and our backend. Own the knowledge graph infrastructure (RDF triple stores such as GraphDB or Fuseki, SPARQL endpoints, SHACL validation) and ensure it performs at portfolio scale. Build and expose the Universal Building API (GraphQL/REST) that powers our 3D twin, AI agents, and third-party integrations. You need these qualifications You have 4+ years of software engineering experience. You've built and operated systems in production: APIs, databases, task queues, caching, deployments. Proficient in Python or Java (Django or Spring), PostgreSQL, GraphQL. Comfortable with full-stack development with React, TypeScript, TanStack, Tailwind. You've designed and operated data-intensive systems and understand architectural concepts like schema design, migrations, query performance, indexing, caching. Experience with containerisation and deployment tooling such as Docker, Kubernetes, and Terraform. Ability to operate with high autonomy in an early-stage environment. You are comfortable making decisions with incomplete information and owning the outcomes. It would be nice if You've worked with knowledge graphs, RDF, SPARQL, or graph databases (Neo4j, Ontotext GraphDB, Fuseki). You've built APIs with GraphQL (Strawberry, Ariadne, or similar) and/or worked with semantic web technologies (OWL, SHACL). You have experience with actor-based concurrency frameworks (Apache Pekko, Akka) or event-driven architectures. You've worked in the built environment, PropTech, or industrial IoT. What we offer Competitive salary (adjusted by location) plus equity in the business. Pension contribution. Flexible, remote-first working. We get together in London and Athens regularly, so expect around 10-20% travel. Dedicated AI-focused learning and development budget.
03/07/2026
Full time
About Tacit We're hiring engineers who want to work at the intersection of AI and the built environment and help make the world's buildings dramatically smarter. Tacit is a University College London (UCL) spinout turning over a decade of research into commercial reality. We extract fragmented building data (BMS feeds, BIM models, IoT sensors, maintenance logs) and integrate it into a contextual layer that enables explainable AI agents to diagnose, decide, and act. We're early-stage, well-funded, and already deploying with real clients across heritage, education, and commercial portfolios. Here's what you'll be doing This is a product engineering role: you'll own the full stack, from how building data flows in to how it's stored, queried, and surfaced to users and AI agents. You'll make real architectural decisions and work directly with the founders. Design and build the core data ingestion and retrieval systems that handle BMS telemetry, BIM models, IoT streams, and metadata, using Python, Java, Go (Django, Spring, EdgeX frameworks). Build the features clients interact with daily across React, TypeScript, and our backend. Own the knowledge graph infrastructure (RDF triple stores such as GraphDB or Fuseki, SPARQL endpoints, SHACL validation) and ensure it performs at portfolio scale. Build and expose the Universal Building API (GraphQL/REST) that powers our 3D twin, AI agents, and third-party integrations. You need these qualifications You have 4+ years of software engineering experience. You've built and operated systems in production: APIs, databases, task queues, caching, deployments. Proficient in Python or Java (Django or Spring), PostgreSQL, GraphQL. Comfortable with full-stack development with React, TypeScript, TanStack, Tailwind. You've designed and operated data-intensive systems and understand architectural concepts like schema design, migrations, query performance, indexing, caching. Experience with containerisation and deployment tooling such as Docker, Kubernetes, and Terraform. Ability to operate with high autonomy in an early-stage environment. You are comfortable making decisions with incomplete information and owning the outcomes. It would be nice if You've worked with knowledge graphs, RDF, SPARQL, or graph databases (Neo4j, Ontotext GraphDB, Fuseki). You've built APIs with GraphQL (Strawberry, Ariadne, or similar) and/or worked with semantic web technologies (OWL, SHACL). You have experience with actor-based concurrency frameworks (Apache Pekko, Akka) or event-driven architectures. You've worked in the built environment, PropTech, or industrial IoT. What we offer Competitive salary (adjusted by location) plus equity in the business. Pension contribution. Flexible, remote-first working. We get together in London and Athens regularly, so expect around 10-20% travel. Dedicated AI-focused learning and development budget.
