A leading technology firm is looking for an experienced Site Reliability Engineer in Newcastle to manage cloud infrastructure and enhance the reliability of services using Infrastructure as Code (IaC) tools like Terraform. Candidates should have at least 5 years of experience, strong scripting skills, and proficiency with cloud platforms such as AWS and Azure. This role emphasizes collaboration, incident response, and continuous improvement, aligning with the company's values of belonging, growth, and innovation.
Apr 16, 2026
Full time
A leading technology firm is looking for an experienced Site Reliability Engineer in Newcastle to manage cloud infrastructure and enhance the reliability of services using Infrastructure as Code (IaC) tools like Terraform. Candidates should have at least 5 years of experience, strong scripting skills, and proficiency with cloud platforms such as AWS and Azure. This role emphasizes collaboration, incident response, and continuous improvement, aligning with the company's values of belonging, growth, and innovation.
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Your locationYour locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.London, Manchester, Glasgow# Senior Consultant - Data & AI ArchitectureAt Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.Join our Data & AI Strategy team and be part of the future of AI consulting, where we're not just advising clients, we're actively disrupting traditional consulting models by embedding AI into every aspect of how we work.We're looking for changemakers with recent, hands-on experience in AI development, people who not only understand the technology but can connect it to the bigger picture. You'll help our clients build, scale and embed AI capabilities across their organisations, driving transformation from strategy through to execution. YOUR ROLEThis role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance, to AI sovereignty in enterprise architecture, to enabling the AI-empowered workforce of tomorrow, you'll be working at the cutting edge of what's next.We DESIGN next-generation data, analytics and AI platforms - You will design and implement scalable, secure and cost-efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure).We ENABLE hybrid cloud transformation - You will design and implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance.We OPTIMISE and SECURE cloud environments - You will evaluate cloud environments and provide recommendations for performance optimisation, security, cost reduction and resource efficiency. You will ensure compliance with industry standards (GDPR, HIPAA, SOC2) and implement best practices for security, IAM, encryption and data protection.We INNOVATE with data-driven solutions - You will create Proof of Concepts and Minimum Viable Products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value.We AUTOMATE for speed and reliability - You will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure-as-Code tools (Terraform, CloudFormation).We DEFINE enterprise data strategy - You will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption.We DELIVER impact through design excellence - You will champion user-centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability.We SUPERCHARGE delivery - We leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks.As part of your role alongside client work you will have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development - Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - Training to support your career development and the skills demand within the company, certifications etc.We are looking for exceptional Data Platform Architecture & Engineering Consultants to lead the design, implementation and optimisation of modern, enterprise-grade data platforms. In this role, you will bring deep expertise in cloud-native architectures, data engineering, and DevOps practices to help organisations accelerate innovation and achieve data-driven success. YOUR PROFILEAs a member of the Data & AI Strategy Team you'll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers and have a genuine interest in AI and emerging technologies. You'll be passionate about helping organisations unlock the potential of AI not just through technical delivery, but by driving strategic change.Below some of the key skills and experiences we look for in candidates. We don't expect you to hit every point - we want to build a team which has diverse backgrounds, perspectives and strengths.Key Skills Growth mindset and curiosity - You're always learning, experimenting with new technologies, and pushing the boundaries of what's possible. Problem Solving - You have strong problem solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations. Excellent communication and collaboration skills - You're confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives. Strong understanding of data and AI technologies - Whether through hands-on development or strategic project exposure, you can confidently engage with AI concepts and tools.Technology & Delivery Experience Education: Bachelor's or Master's degree in Computer Science, Information Technology or a related field. Industry Expertise: 5+ years' experience designing and managing cloud architectures (AWS, GCP and/or Azure), including hybrid and multi-cloud solutions. Cloud Experience: Strong expertise in cloud-native services (containers, Kubernetes, serverless, microservices) combined with deep knowledge of networking, security, identity management, and compliance best practices. Infrastructure & Automation: Hands-on experience with Infrastructure-as-Code (Terraform, ARM Templates) and CI/CD automation (e.g. Google Cloud Deployment Manager, Azure CICD). Consulting background with proven stakeholder management, project scoping and budgeting experienceDesirable Experience Domain Experience: Primarily UK Public Sector, but also Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms and Transport. Cloud Certifications: in GCP (e.g., Google Professional Cloud Architect) and Azure (e.g., Microsoft Certified: Azure Solutions Architect Expert). Familiarity with cloud cost management tools and best practices to optimise spend and maximise value Experience supporting and participating in the commercial cycle, including defining project scope and agreeing on budgets. Experience with Agile methodologies and cross-functional team collaboration. SC Cleared / EligibleWe're committed to using technology as a force for good. That means reducing our own carbon footprint and expanding access to the digital world for everyone. This isn't just a statement; it's a core part of who we are. In fact, Capgemini has been recognised by the Ethisphere Institute as one of the World's Most Ethical Companies for 10 consecutive years. When you join us, you become part of a team that does the right thing.Your base location will be London,
Apr 16, 2026
Full time
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Your locationYour locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.London, Manchester, Glasgow# Senior Consultant - Data & AI ArchitectureAt Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.Join our Data & AI Strategy team and be part of the future of AI consulting, where we're not just advising clients, we're actively disrupting traditional consulting models by embedding AI into every aspect of how we work.We're looking for changemakers with recent, hands-on experience in AI development, people who not only understand the technology but can connect it to the bigger picture. You'll help our clients build, scale and embed AI capabilities across their organisations, driving transformation from strategy through to execution. YOUR ROLEThis role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance, to AI sovereignty in enterprise architecture, to enabling the AI-empowered workforce of tomorrow, you'll be working at the cutting edge of what's next.We DESIGN next-generation data, analytics and AI platforms - You will design and implement scalable, secure and cost-efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure).We ENABLE hybrid cloud transformation - You will design and implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance.We OPTIMISE and SECURE cloud environments - You will evaluate cloud environments and provide recommendations for performance optimisation, security, cost reduction and resource efficiency. You will ensure compliance with industry standards (GDPR, HIPAA, SOC2) and implement best practices for security, IAM, encryption and data protection.We INNOVATE with data-driven solutions - You will create Proof of Concepts and Minimum Viable Products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value.We AUTOMATE for speed and reliability - You will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure-as-Code tools (Terraform, CloudFormation).We DEFINE enterprise data strategy - You will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption.We DELIVER impact through design excellence - You will champion user-centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability.We SUPERCHARGE delivery - We leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks.As part of your role alongside client work you will have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development - Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - Training to support your career development and the skills demand within the company, certifications etc.We are looking for exceptional Data Platform Architecture & Engineering Consultants to lead the design, implementation and optimisation of modern, enterprise-grade data platforms. In this role, you will bring deep expertise in cloud-native architectures, data engineering, and DevOps practices to help organisations accelerate innovation and achieve data-driven success. YOUR PROFILEAs a member of the Data & AI Strategy Team you'll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers and have a genuine interest in AI and emerging technologies. You'll be passionate about helping organisations unlock the potential of AI not just through technical delivery, but by driving strategic change.Below some of the key skills and experiences we look for in candidates. We don't expect you to hit every point - we want to build a team which has diverse backgrounds, perspectives and strengths.Key Skills Growth mindset and curiosity - You're always learning, experimenting with new technologies, and pushing the boundaries of what's possible. Problem Solving - You have strong problem solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations. Excellent communication and collaboration skills - You're confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives. Strong understanding of data and AI technologies - Whether through hands-on development or strategic project exposure, you can confidently engage with AI concepts and tools.Technology & Delivery Experience Education: Bachelor's or Master's degree in Computer Science, Information Technology or a related field. Industry Expertise: 5+ years' experience designing and managing cloud architectures (AWS, GCP and/or Azure), including hybrid and multi-cloud solutions. Cloud Experience: Strong expertise in cloud-native services (containers, Kubernetes, serverless, microservices) combined with deep knowledge of networking, security, identity management, and compliance best practices. Infrastructure & Automation: Hands-on experience with Infrastructure-as-Code (Terraform, ARM Templates) and CI/CD automation (e.g. Google Cloud Deployment Manager, Azure CICD). Consulting background with proven stakeholder management, project scoping and budgeting experienceDesirable Experience Domain Experience: Primarily UK Public Sector, but also Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms and Transport. Cloud Certifications: in GCP (e.g., Google Professional Cloud Architect) and Azure (e.g., Microsoft Certified: Azure Solutions Architect Expert). Familiarity with cloud cost management tools and best practices to optimise spend and maximise value Experience supporting and participating in the commercial cycle, including defining project scope and agreeing on budgets. Experience with Agile methodologies and cross-functional team collaboration. SC Cleared / EligibleWe're committed to using technology as a force for good. That means reducing our own carbon footprint and expanding access to the digital world for everyone. This isn't just a statement; it's a core part of who we are. In fact, Capgemini has been recognised by the Ethisphere Institute as one of the World's Most Ethical Companies for 10 consecutive years. When you join us, you become part of a team that does the right thing.Your base location will be London,
A leading financial technology firm in London is looking for a Security Engineer specializing in Detection Engineering and Security Automation. You will develop high-fidelity detections and automate workflows across platforms like Rapid7, SentinelOne, and CrowdStrike using Azure Logic Apps. The ideal candidate will have hands-on experience in detection engineering and security automation, along with strong scripting skills in Python or PowerShell. This role is crucial for enhancing the organization's security posture and response capabilities.
Apr 16, 2026
Full time
A leading financial technology firm in London is looking for a Security Engineer specializing in Detection Engineering and Security Automation. You will develop high-fidelity detections and automate workflows across platforms like Rapid7, SentinelOne, and CrowdStrike using Azure Logic Apps. The ideal candidate will have hands-on experience in detection engineering and security automation, along with strong scripting skills in Python or PowerShell. This role is crucial for enhancing the organization's security posture and response capabilities.
A major banking institution is seeking a Principal Data Engineer to join their Personalised Experiences and Communications Platform. The role involves working in a multi-functional product team to deliver high-quality data capabilities. Candidates should have extensive experience with large-scale data processing systems, containers like Docker and Kubernetes, and cloud platforms such as GCP, Azure, or AWS. The role also values knowledge in real-time streaming technologies and a strong programming background. Join us to shape the future of finance and drive meaningful change.
Apr 16, 2026
Full time
A major banking institution is seeking a Principal Data Engineer to join their Personalised Experiences and Communications Platform. The role involves working in a multi-functional product team to deliver high-quality data capabilities. Candidates should have extensive experience with large-scale data processing systems, containers like Docker and Kubernetes, and cloud platforms such as GCP, Azure, or AWS. The role also values knowledge in real-time streaming technologies and a strong programming background. Join us to shape the future of finance and drive meaningful change.
Site Reliability Engineer- UK Optum is a global organisation that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. As a Fortune 5 business, we're one of the world's leading healthcare companies. There are no limits here on the resources you'll have or the challenges you'll encounter. We have been supporting global healthcare systems from Ireland and the UK for more than 20 years, building a dynamic and diverse team of more than 2,100 talented individuals. With a continued record of growth and stability, we're on the constant lookout for fresh talent to join our expanding teams. Opportunities at Change Healthcare, part of the Optum family of businesses. We are transforming the health care system through innovative technology and analytics. Find opportunities to make a difference in a variety of career areas as we all play a role in accelerating health care transformation. Help us deliver cutting edge solutions for patients, hospitals and insurance companies, resulting in healthier communities. Use your talents to improve the health outcomes of millions of people and discover the meaning behind: Caring. Connecting. Growing together. The Site Reliability Engineer is a member of Cloud Operations Automation team and responsible for the reliability, security and efficiency of Change Healthcare's cloud environments and products that comprise Enterprise Imaging solutions. The engineer will also participate in the Cloud Operations team activities including continuous delivery, configuration changes, performance monitoring and ensure high availability of systems. The engineer will be the active leader on the incident management process including triaging and resolution of incidents. Schedule You'll enjoy the flexibility to work remotely from anywhere within the U.K. as you take on some tough challenges and you'll be required to work 24 7 shift based support with rotating on call. Primary Responsibilities Works as a software tools developer in the cloud operations team Define and drive automation of cloud operations and deployment using different toolset. Define and drive implementation of Cloud Operations procedures. Define and implement effective and reliable cloud infrastructure. 24 7 shift based support with rotating on call You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications Bachelor's degree in information systems, Computer Science, Engineering, or related field or equivalent experience Proven record of experience and success in administration of cloud infrastructure and deployed applications for enterprise SaaS or PaaS companies in public clouds such as GCP (Preferred), AWS, Azure Strong programming experience in any of the platforms like python, node.js, or any other language Good experience in creating CI/CD process or managing Kubernetes environments or creating terraform IaC pipelines. Solid foundation in Linux/Windows operating systems and tools Ability to work 24 7 shift based support with rotating on call Preferred Qualifications Knowledge of cloud networking, cloud security, centralized loggings and monitoring tools Proficient with DevOps tools and environments like Jenkins, Git, and Ansible Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application. All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalised groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, sexual orientation, or any other characteristic protected by law. UnitedHealth Group is a drug free workplace. 2025 UnitedHealth Group. All rights reserved.
Apr 16, 2026
Full time
Site Reliability Engineer- UK Optum is a global organisation that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. As a Fortune 5 business, we're one of the world's leading healthcare companies. There are no limits here on the resources you'll have or the challenges you'll encounter. We have been supporting global healthcare systems from Ireland and the UK for more than 20 years, building a dynamic and diverse team of more than 2,100 talented individuals. With a continued record of growth and stability, we're on the constant lookout for fresh talent to join our expanding teams. Opportunities at Change Healthcare, part of the Optum family of businesses. We are transforming the health care system through innovative technology and analytics. Find opportunities to make a difference in a variety of career areas as we all play a role in accelerating health care transformation. Help us deliver cutting edge solutions for patients, hospitals and insurance companies, resulting in healthier communities. Use your talents to improve the health outcomes of millions of people and discover the meaning behind: Caring. Connecting. Growing together. The Site Reliability Engineer is a member of Cloud Operations Automation team and responsible for the reliability, security and efficiency of Change Healthcare's cloud environments and products that comprise Enterprise Imaging solutions. The engineer will also participate in the Cloud Operations team activities including continuous delivery, configuration changes, performance monitoring and ensure high availability of systems. The engineer will be the active leader on the incident management process including triaging and resolution of incidents. Schedule You'll enjoy the flexibility to work remotely from anywhere within the U.K. as you take on some tough challenges and you'll be required to work 24 7 shift based support with rotating on call. Primary Responsibilities Works as a software tools developer in the cloud operations team Define and drive automation of cloud operations and deployment using different toolset. Define and drive implementation of Cloud Operations procedures. Define and implement effective and reliable cloud infrastructure. 24 7 shift based support with rotating on call You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications Bachelor's degree in information systems, Computer Science, Engineering, or related field or equivalent experience Proven record of experience and success in administration of cloud infrastructure and deployed applications for enterprise SaaS or PaaS companies in public clouds such as GCP (Preferred), AWS, Azure Strong programming experience in any of the platforms like python, node.js, or any other language Good experience in creating CI/CD process or managing Kubernetes environments or creating terraform IaC pipelines. Solid foundation in Linux/Windows operating systems and tools Ability to work 24 7 shift based support with rotating on call Preferred Qualifications Knowledge of cloud networking, cloud security, centralized loggings and monitoring tools Proficient with DevOps tools and environments like Jenkins, Git, and Ansible Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application. All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalised groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, sexual orientation, or any other characteristic protected by law. UnitedHealth Group is a drug free workplace. 2025 UnitedHealth Group. All rights reserved.
A global healthcare company is looking for a Site Reliability Engineer to manage cloud environments and enhance automation. This role requires a Bachelor's degree in Computer Science or a related field and experience with cloud platforms such as GCP, AWS, and Azure. You will work 24x7 with rotating shifts and be involved in incident management. Candidates should have strong programming skills in languages like Python and a solid understanding of CI/CD processes and Kubernetes management.
Apr 16, 2026
Full time
A global healthcare company is looking for a Site Reliability Engineer to manage cloud environments and enhance automation. This role requires a Bachelor's degree in Computer Science or a related field and experience with cloud platforms such as GCP, AWS, and Azure. You will work 24x7 with rotating shifts and be involved in incident management. Candidates should have strong programming skills in languages like Python and a solid understanding of CI/CD processes and Kubernetes management.
Overview The Role: We are seeking a Security Engineer specialising in Detection Engineering and Security Automation to design, build, and operate scalable detection and response capabilities across cloud and enterprise environments. This role focuses on engineering high-fidelity detections and automating response workflows across platforms such as Rapid7, SentinelOne, and CrowdStrike, using Azure Logic Apps and API-driven integrations to reduce manual effort and improve response speed. This is a hands-on engineering role for someone who thinks in attacker behaviours, builds resilient automation, and prefers engineering solutions over manual SOC processes. Key Responsibilities Detection Engineering - Design, implement, and continuously improve threat detections across endpoint, identity, vulnerability, and cloud telemetry. Engineer detections using data from Rapid7, SentinelOne, and CrowdStrike, including behavioural, anomaly-based, and contextual detections. Translate MITRE ATT&CK techniques and real-world threat intelligence into actionable detection logic. Develop and tune detection logic to reduce false positives while preserving signal quality. Validate detections through testing, attack simulation, and post-incident review. Maintain detection coverage mapping across the attack lifecycle. Security Automation & SOAR - Design and implement security automation workflows using Azure Logic Apps to support alert triage, enrichment, containment, and response. Automate workflows such as: Alert enrichment from asset inventories and vulnerability data Risk-based prioritisation using exploitability and exposure context Endpoint containment or isolation actions Case creation, updates, and closure across security platforms Integrate tools via REST APIs, webhooks, and managed connectors Build modular, reusable automation components with robust error handling and observability. Platform Integration & Engineering - Integrate and correlate telemetry across Rapid7, SentinelOne, CrowdStrike, and supporting security systems. Work closely with security and cloud teams to onboard new data sources and ensure data quality. Apply detection-as-code and automation-as-code principles using version control and structured deployment processes. Build dashboards and metrics to measure detection efficacy, alert quality, and automation impact. Incident Response & Continuous Improvement - Support incident response by enhancing detections and automations based on real incidents. Feed learnings from investigations back into detection logic and response workflows. Maintain documentation, playbooks, and runbooks for detections and automations. Contribute to purple-team activities and detection gap analysis. Required Skills, Experience and Qualifications Core Technical Skills Proven experience in detection engineering, security operations engineering, or security automation roles. Hands-on experience with Rapid7, SentinelOne, and/or CrowdStrike in detection or response contexts. Strong experience building automation using Azure Logic Apps. Proficiency integrating systems using REST APIs, JSON payloads, authentication, and pagination. Solid understanding of endpoint security, vulnerability management, and attacker tradecraft. Deep familiarity with MITRE ATT&CK and behaviour-based detection methodologies. Engineering & Operational Skills Strong scripting or engineering background (e.g. Python, PowerShell). Experience working with structured data, event pipelines, and telemetry correlation. Understanding of alert lifecycle management and incident response workflows. Ability to design automation that is safe, resilient, and auditable. Preferred Experience correlating endpoint, vulnerability, and asset data for risk-based detection. Familiarity with SOAR design patterns and automation governance. Exposure to cloud security telemetry and identity-based attack detection. Experience operating in large-scale or regulated environments. Knowledge of CI/CD or infrastructure-as-code approaches for security tooling. About us We're a diverse group of visionary innovators who provide trading and workflow automation software, high-value analytics, and strategic consulting to corporations, central banks, financial institutions, and governments. Founded in 1999, we've achieved tremendous growth by bringing together some of the best and most successful financial technology companies in the world. • Over 2,000 of the world's leading corporations, including 50% of the Fortune 500 and 30% of the world's central banks, trust ION solutions to manage their cash, in-house banking, commodity supply chain, trading and risk. • Over 800 of the world's leading banks and broker-dealers use our electronic trading platforms to operate the world's financial market infrastructure. ION is a rapidly expanding and dynamic group with 13,000 employees and offices in more than 40 cities around the globe. Our ever-expanding global footprint, cutting edge products, and over 40,000 customers worldwide provide an unparalleled career experience for those who share our vision. ION is committed to maintaining a supportive and inclusive environment for people with diverse backgrounds and experiences. We respect the varied identities, abilities, cultures, and traditions of the individuals who comprise our organization and recognize the value that different backgrounds and points of view bring to our business. ION adheres to an equal employment opportunity policy that prohibits discriminatory practices or harassment against applicants or employees based on any legally impermissible factor.
Apr 16, 2026
Full time
Overview The Role: We are seeking a Security Engineer specialising in Detection Engineering and Security Automation to design, build, and operate scalable detection and response capabilities across cloud and enterprise environments. This role focuses on engineering high-fidelity detections and automating response workflows across platforms such as Rapid7, SentinelOne, and CrowdStrike, using Azure Logic Apps and API-driven integrations to reduce manual effort and improve response speed. This is a hands-on engineering role for someone who thinks in attacker behaviours, builds resilient automation, and prefers engineering solutions over manual SOC processes. Key Responsibilities Detection Engineering - Design, implement, and continuously improve threat detections across endpoint, identity, vulnerability, and cloud telemetry. Engineer detections using data from Rapid7, SentinelOne, and CrowdStrike, including behavioural, anomaly-based, and contextual detections. Translate MITRE ATT&CK techniques and real-world threat intelligence into actionable detection logic. Develop and tune detection logic to reduce false positives while preserving signal quality. Validate detections through testing, attack simulation, and post-incident review. Maintain detection coverage mapping across the attack lifecycle. Security Automation & SOAR - Design and implement security automation workflows using Azure Logic Apps to support alert triage, enrichment, containment, and response. Automate workflows such as: Alert enrichment from asset inventories and vulnerability data Risk-based prioritisation using exploitability and exposure context Endpoint containment or isolation actions Case creation, updates, and closure across security platforms Integrate tools via REST APIs, webhooks, and managed connectors Build modular, reusable automation components with robust error handling and observability. Platform Integration & Engineering - Integrate and correlate telemetry across Rapid7, SentinelOne, CrowdStrike, and supporting security systems. Work closely with security and cloud teams to onboard new data sources and ensure data quality. Apply detection-as-code and automation-as-code principles using version control and structured deployment processes. Build dashboards and metrics to measure detection efficacy, alert quality, and automation impact. Incident Response & Continuous Improvement - Support incident response by enhancing detections and automations based on real incidents. Feed learnings from investigations back into detection logic and response workflows. Maintain documentation, playbooks, and runbooks for detections and automations. Contribute to purple-team activities and detection gap analysis. Required Skills, Experience and Qualifications Core Technical Skills Proven experience in detection engineering, security operations engineering, or security automation roles. Hands-on experience with Rapid7, SentinelOne, and/or CrowdStrike in detection or response contexts. Strong experience building automation using Azure Logic Apps. Proficiency integrating systems using REST APIs, JSON payloads, authentication, and pagination. Solid understanding of endpoint security, vulnerability management, and attacker tradecraft. Deep familiarity with MITRE ATT&CK and behaviour-based detection methodologies. Engineering & Operational Skills Strong scripting or engineering background (e.g. Python, PowerShell). Experience working with structured data, event pipelines, and telemetry correlation. Understanding of alert lifecycle management and incident response workflows. Ability to design automation that is safe, resilient, and auditable. Preferred Experience correlating endpoint, vulnerability, and asset data for risk-based detection. Familiarity with SOAR design patterns and automation governance. Exposure to cloud security telemetry and identity-based attack detection. Experience operating in large-scale or regulated environments. Knowledge of CI/CD or infrastructure-as-code approaches for security tooling. About us We're a diverse group of visionary innovators who provide trading and workflow automation software, high-value analytics, and strategic consulting to corporations, central banks, financial institutions, and governments. Founded in 1999, we've achieved tremendous growth by bringing together some of the best and most successful financial technology companies in the world. • Over 2,000 of the world's leading corporations, including 50% of the Fortune 500 and 30% of the world's central banks, trust ION solutions to manage their cash, in-house banking, commodity supply chain, trading and risk. • Over 800 of the world's leading banks and broker-dealers use our electronic trading platforms to operate the world's financial market infrastructure. ION is a rapidly expanding and dynamic group with 13,000 employees and offices in more than 40 cities around the globe. Our ever-expanding global footprint, cutting edge products, and over 40,000 customers worldwide provide an unparalleled career experience for those who share our vision. ION is committed to maintaining a supportive and inclusive environment for people with diverse backgrounds and experiences. We respect the varied identities, abilities, cultures, and traditions of the individuals who comprise our organization and recognize the value that different backgrounds and points of view bring to our business. ION adheres to an equal employment opportunity policy that prohibits discriminatory practices or harassment against applicants or employees based on any legally impermissible factor.
About Unity Advisory Unity Advisory is a new-generation professional services firm built for an AI-enabled world. We operate a lean, conflict-free, and client-centric model that integrates advanced technology and AI into every workstream. With no audit practice, we are free from traditional conflicts and legacy silos. This allows us to move faster, collaborate openly, and focus entirely on creating value for clients. Our flat structure and collaborative culture empower exceptional people to deliver exceptional work. We combine deep advisory expertise with cutting-edge data, AI, and commercial insight to help clients navigate complex challenges faster, smarter, and with greater clarity. At Unity, we are redefining how expert advisory is delivered-one innovative engagement at a time. The Role We are looking for a highly capable, commercially minded Solution Architect to join Unity Advisory, operating across both client-facing engagements and internal platform initiatives to design and deliver scalable, AI-enabled, and data-driven solutions. This is a senior, hands-on architecture role responsible for translating complex business requirements into end-to-end solution designs spanning enterprise systems, data platforms, AI capabilities, integrations, and workflows. A key focus of this role is shaping architectures that integrate modern cloud platforms, enterprise applications (ERP/EPM/CRM), and emerging GenAI capabilities, ensuring solutions are practical, secure, cost-effective, and aligned to measurable business outcomes. This role sits at the intersection of enterprise architecture, data and AI systems, and business transformation, with a clear opportunity to influence solution standards, support proposition development, and shape how Unity delivers technology-enabled advisory at scale. What You'll Do Unity operates in a fast-paced, high-trust environment. You will lead the design of solutions that connect business strategy with robust, scalable technology delivery. End-to-End Solution Architecture Lead the design of end-to-end solution architectures across client engagements and internal initiatives, covering applications, data, integrations, workflows, and AI components. Translate business requirements into clear architectural designs, including process flows, system interactions, data models, and non-functional requirements. Define and evaluate architecture options, recommending solutions based on value, scalability, cost, security, and delivery feasibility. Ensure solutions are pragmatic and implementable, balancing strategic design with real-world constraints. Enterprise Platforms, Data & AI Integration Design solutions integrating enterprise platforms such as ERP, EPM, CRM, workflow, and reporting systems. Architect data flows and integration patterns across cloud platforms (Azure, AWS, GCP) and enterprise environments. Incorporate AI and automation capabilities, including: AI-enabled workflows and copilots Data-driven decision systems Automation and intelligent process orchestration Align solution design with modern data platforms and AI architectures, ensuring interoperability and scalability. Architecture Standards, Governance & Quality Ensure all solutions meet standards for security, resilience, performance, maintainability, and governance. Define and apply architecture principles, design patterns, and reference models. Support architecture governance and assurance, ensuring consistency across engagements. Embed best practices in integration design, data handling, and system interoperability. Delivery Leadership & Execution Support Provide architectural leadership throughout delivery, supporting teams in resolving design challenges, dependencies, and trade-offs. Work closely with engineers, data specialists, product leads, and client stakeholders to ensure solutions are well understood and effectively implemented. Adapt architectures as requirements evolve, maintaining alignment with business outcomes. Contribute to delivery planning, estimation, and technical risk management. Pre-Sales & Proposition Development Support pre-sales activities by shaping solution designs, architecture narratives, and demonstrations. Contribute to business cases, statements of work, and commercial proposals. Help articulate the value of technology solutions to both technical and non-technical stakeholders. Strengthen Unity's propositions through reusable assets and architecture-led thinking. Capability Building & Innovation Develop reusable architecture patterns, templates, accelerators, and reference architectures. Stay current with emerging technologies across AI, data, automation, and cloud, identifying opportunities to create client value. Contribute to the evolution of Unity's AI- and data-enabled delivery model. Support and mentor team members, helping to build architectural capability across the firm. What You Bring Solution Architecture Expertise Strong experience as a Solution Architect, Technical Architect, or Enterprise Architect in complex environments. Proven ability to design end-to-end business and technology solutions across multiple domains. Experience producing architecture artefacts such as solution blueprints, logical architectures, integration diagrams, and option assessments. Ability to balance strategic thinking with delivery pragmatism. Enterprise, Data & Integration Architecture Strong understanding of: Application and enterprise architecture Integration patterns, APIs, and data flows Cloud platforms (Azure, AWS, GCP) Security and non-functional design considerations Experience designing solutions across enterprise systems and modern data platforms. Familiarity with AI-enabled architectures, automation, and analytics-driven solutions. Business & Commercial Understanding Good understanding of finance processes and enterprise functions, with the ability to link technology design to business outcomes. Strong commercial awareness, including the ability to evaluate trade-offs between cost, value, and complexity. Experience contributing to estimates, business cases, and delivery plans. Stakeholder Engagement & Leadership Strong stakeholder management skills, able to engage senior business leaders and technical teams. Excellent communication skills, with the ability to explain complex architecture concepts clearly. Experience working in collaborative, cross-functional environments. Comfortable leading design discussions and influencing decision-making. Delivery Mindset Comfortable working in fast-paced, evolving environments with iterative solution development. Hands on and adaptable, with a focus on practical, outcome driven delivery. Experience supporting delivery teams through complex implementations and change. Nice to Have Experience in consulting, advisory, or transformation led environments. Exposure to finance transformation, managed services, or CFO technology landscapes. Experience designing AI enabled or data driven solutions, including: Copilots and conversational systems Automation and agentic workflows Analytics and decision support platforms Familiarity with architecture governance frameworks and delivery assurance practices. Relevant architecture or cloud certifications. Why This Role Matters Unity Advisory is building a modern, technology-enabled advisory firm centred on AI, data, and scalable delivery models. This role is critical in shaping how we: Design and deliver end-to-end client solutions Integrate AI, data, and enterprise platforms into meaningful business outcomes Build reusable, scalable architecture capabilities and assets Enable smarter, faster, and more consistent delivery across engagements You will not just design solutions - you will help define how Unity Advisory delivers next generation, AI enabled advisory services at scale. Working at Unity Advisory A truly hybrid and flexible working environment. We offer the opportunity to be at the forefront of AI-driven advisory services. You'll be part of a high impact finance function, empowered to shape how we scale our systems and processes. This is an exciting opportunity to join a fast growing business and accelerate your finance career. Additional Information At Unity Advisory, we are committed to providing an inclusive and accessible recruitment process. In line with the Equality Act 2010, we will accommodate any suitable candidate requiring assistance to attend or conduct an interview. If you need any adjustments or support, please let us know when either scheduling your interview or in your application cover letter. We are dedicated to ensuring everyone has an equal opportunity to succeed and are here to support you throughout the process.
Apr 16, 2026
Full time
About Unity Advisory Unity Advisory is a new-generation professional services firm built for an AI-enabled world. We operate a lean, conflict-free, and client-centric model that integrates advanced technology and AI into every workstream. With no audit practice, we are free from traditional conflicts and legacy silos. This allows us to move faster, collaborate openly, and focus entirely on creating value for clients. Our flat structure and collaborative culture empower exceptional people to deliver exceptional work. We combine deep advisory expertise with cutting-edge data, AI, and commercial insight to help clients navigate complex challenges faster, smarter, and with greater clarity. At Unity, we are redefining how expert advisory is delivered-one innovative engagement at a time. The Role We are looking for a highly capable, commercially minded Solution Architect to join Unity Advisory, operating across both client-facing engagements and internal platform initiatives to design and deliver scalable, AI-enabled, and data-driven solutions. This is a senior, hands-on architecture role responsible for translating complex business requirements into end-to-end solution designs spanning enterprise systems, data platforms, AI capabilities, integrations, and workflows. A key focus of this role is shaping architectures that integrate modern cloud platforms, enterprise applications (ERP/EPM/CRM), and emerging GenAI capabilities, ensuring solutions are practical, secure, cost-effective, and aligned to measurable business outcomes. This role sits at the intersection of enterprise architecture, data and AI systems, and business transformation, with a clear opportunity to influence solution standards, support proposition development, and shape how Unity delivers technology-enabled advisory at scale. What You'll Do Unity operates in a fast-paced, high-trust environment. You will lead the design of solutions that connect business strategy with robust, scalable technology delivery. End-to-End Solution Architecture Lead the design of end-to-end solution architectures across client engagements and internal initiatives, covering applications, data, integrations, workflows, and AI components. Translate business requirements into clear architectural designs, including process flows, system interactions, data models, and non-functional requirements. Define and evaluate architecture options, recommending solutions based on value, scalability, cost, security, and delivery feasibility. Ensure solutions are pragmatic and implementable, balancing strategic design with real-world constraints. Enterprise Platforms, Data & AI Integration Design solutions integrating enterprise platforms such as ERP, EPM, CRM, workflow, and reporting systems. Architect data flows and integration patterns across cloud platforms (Azure, AWS, GCP) and enterprise environments. Incorporate AI and automation capabilities, including: AI-enabled workflows and copilots Data-driven decision systems Automation and intelligent process orchestration Align solution design with modern data platforms and AI architectures, ensuring interoperability and scalability. Architecture Standards, Governance & Quality Ensure all solutions meet standards for security, resilience, performance, maintainability, and governance. Define and apply architecture principles, design patterns, and reference models. Support architecture governance and assurance, ensuring consistency across engagements. Embed best practices in integration design, data handling, and system interoperability. Delivery Leadership & Execution Support Provide architectural leadership throughout delivery, supporting teams in resolving design challenges, dependencies, and trade-offs. Work closely with engineers, data specialists, product leads, and client stakeholders to ensure solutions are well understood and effectively implemented. Adapt architectures as requirements evolve, maintaining alignment with business outcomes. Contribute to delivery planning, estimation, and technical risk management. Pre-Sales & Proposition Development Support pre-sales activities by shaping solution designs, architecture narratives, and demonstrations. Contribute to business cases, statements of work, and commercial proposals. Help articulate the value of technology solutions to both technical and non-technical stakeholders. Strengthen Unity's propositions through reusable assets and architecture-led thinking. Capability Building & Innovation Develop reusable architecture patterns, templates, accelerators, and reference architectures. Stay current with emerging technologies across AI, data, automation, and cloud, identifying opportunities to create client value. Contribute to the evolution of Unity's AI- and data-enabled delivery model. Support and mentor team members, helping to build architectural capability across the firm. What You Bring Solution Architecture Expertise Strong experience as a Solution Architect, Technical Architect, or Enterprise Architect in complex environments. Proven ability to design end-to-end business and technology solutions across multiple domains. Experience producing architecture artefacts such as solution blueprints, logical architectures, integration diagrams, and option assessments. Ability to balance strategic thinking with delivery pragmatism. Enterprise, Data & Integration Architecture Strong understanding of: Application and enterprise architecture Integration patterns, APIs, and data flows Cloud platforms (Azure, AWS, GCP) Security and non-functional design considerations Experience designing solutions across enterprise systems and modern data platforms. Familiarity with AI-enabled architectures, automation, and analytics-driven solutions. Business & Commercial Understanding Good understanding of finance processes and enterprise functions, with the ability to link technology design to business outcomes. Strong commercial awareness, including the ability to evaluate trade-offs between cost, value, and complexity. Experience contributing to estimates, business cases, and delivery plans. Stakeholder Engagement & Leadership Strong stakeholder management skills, able to engage senior business leaders and technical teams. Excellent communication skills, with the ability to explain complex architecture concepts clearly. Experience working in collaborative, cross-functional environments. Comfortable leading design discussions and influencing decision-making. Delivery Mindset Comfortable working in fast-paced, evolving environments with iterative solution development. Hands on and adaptable, with a focus on practical, outcome driven delivery. Experience supporting delivery teams through complex implementations and change. Nice to Have Experience in consulting, advisory, or transformation led environments. Exposure to finance transformation, managed services, or CFO technology landscapes. Experience designing AI enabled or data driven solutions, including: Copilots and conversational systems Automation and agentic workflows Analytics and decision support platforms Familiarity with architecture governance frameworks and delivery assurance practices. Relevant architecture or cloud certifications. Why This Role Matters Unity Advisory is building a modern, technology-enabled advisory firm centred on AI, data, and scalable delivery models. This role is critical in shaping how we: Design and deliver end-to-end client solutions Integrate AI, data, and enterprise platforms into meaningful business outcomes Build reusable, scalable architecture capabilities and assets Enable smarter, faster, and more consistent delivery across engagements You will not just design solutions - you will help define how Unity Advisory delivers next generation, AI enabled advisory services at scale. Working at Unity Advisory A truly hybrid and flexible working environment. We offer the opportunity to be at the forefront of AI-driven advisory services. You'll be part of a high impact finance function, empowered to shape how we scale our systems and processes. This is an exciting opportunity to join a fast growing business and accelerate your finance career. Additional Information At Unity Advisory, we are committed to providing an inclusive and accessible recruitment process. In line with the Equality Act 2010, we will accommodate any suitable candidate requiring assistance to attend or conduct an interview. If you need any adjustments or support, please let us know when either scheduling your interview or in your application cover letter. We are dedicated to ensuring everyone has an equal opportunity to succeed and are here to support you throughout the process.
The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. Building a next-generation data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data powered applications. We are seeking an experienced Senior Product Manager who will be accountable for designing and delivering the roadmap for molecule design products to support GSK Research and Development. This role will be pivotal in ensuring a cohesive enterprise level strategy towards molecule design solutions and will ensure our scientists have access to best in class technology products to improve research productivity and ultimately deliver new medicines for our patients. In this role you will: Own and lead the product roadmap, product development, launch and adoption of novel molecule design solutions to benefit the scientific community at GSK across multiple departments Play a key role in defining the strategic direction for molecule design tools with GenAI capabilities at the core Partner closely with the wider Onyx tech team, as well as R&D scientists and leaders, to deliver industry leading cloud based products and solutions with GenAI and agentic capabilities. Key Responsibilities: Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for molecule design solutions and tools, aligned with the Onyx's overall product vision and objectives. Customer Understanding: Conduct in depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements. Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals. Agile Product Development: Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management. GenAI Product and Capability Upgrade: Spearhead the development of a new class of AI Agents, powered by LLMs and Generative AI, designed to autonomously execute complex scientific research tasks like hypothesis generation, experimental design, and data interpretation. Design and productize the human agent interaction layer, moving beyond traditional UIs to create conversational and goal driven interfaces that allow scientists to delegate multi step tasks and interpret the outputs of autonomous GenAI systems. Own the product lifecycle for models and agents, leading the strategy for data acquisition, model fine tuning, and the development of APIs/agents that allow them to be leveraged as "tools" by other agents and systems. Model In The Loop Design: Structuring products so that R&D users can easily challenge, verify, and provide feedback to improve the agentic tools and underlying models (human guided iteration). Demonstrate Human + AI collaboration with minimum friction to drive user adoption. Lead highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine tuning foundational models, vector databases, and multi agent system architectures. Cross Functional Collaboration: Collaborate with both tech and RD teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and RD data leadership teams, to align product strategies, gather input, and drive successful implementation plans. Product Launch and Adoption: Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction. Product Performance and Optimization: Continuously monitor product performance, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience. Qualifications & Skills: Bachelors degree in Bioinformatics, Computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering, or related discipline. Significant experience in product management with a proven track record of shipping 0 to 1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large scale enterprise setting. Demonstrated experience defining product strategy for modern applications, including hands on experience with technologies core to AI systems such as vector databases, MLOps, retrieval augmented generation, and model fine tuning. Direct product management experience designing and launching AI agents that can utilize tools (APIs, function calling) to perform complex, multi step actions and reason about their environment. Deep technical fluency with cloud native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM based applications. Preferred Qualifications & Skills: Master's degree or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Data Science, Computer Science/Software Engineering, Cloud Computing or related discipline. Hands on software engineering or data science experience in a GenAI focused team prior to transitioning into product management. Familiarity with the architecture of modern transformer based models and the strategic product trade offs between using proprietary models (e.g., GPT 4, Claude), open source models (e.g., Llama, Mistral), and fine tuning custom models. Experience building products that manage or interpret complex, unstructured biomedical data. Extensive knowledge of bioinformatics, computational biology, or cheminformatics, and a strong vision for how agentic AI can revolutionize the drug discovery process. Extensive product experience designing, optimizing, and implementing Model Context Protocols (MCP) for LLM powered agents, including advanced strategies for prompt engineering, context window management, memory architectures (e.g., short term, long term memory), and ensuring model coherence over extended multi turn interactions. Hands on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc. Previous experience in life science industry or biopharma R&D is a plus. Closing Date for Applications: Wednesday 25th March 2026 (COB) Please note: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and will review all applications, however response times may be longer than usual, and interviews may be scheduled after the New Year. We appreciate your understanding and look forward to connecting soon! Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used to monitor the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients . click apply for full job details
Apr 16, 2026
Full time
The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. Building a next-generation data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data powered applications. We are seeking an experienced Senior Product Manager who will be accountable for designing and delivering the roadmap for molecule design products to support GSK Research and Development. This role will be pivotal in ensuring a cohesive enterprise level strategy towards molecule design solutions and will ensure our scientists have access to best in class technology products to improve research productivity and ultimately deliver new medicines for our patients. In this role you will: Own and lead the product roadmap, product development, launch and adoption of novel molecule design solutions to benefit the scientific community at GSK across multiple departments Play a key role in defining the strategic direction for molecule design tools with GenAI capabilities at the core Partner closely with the wider Onyx tech team, as well as R&D scientists and leaders, to deliver industry leading cloud based products and solutions with GenAI and agentic capabilities. Key Responsibilities: Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for molecule design solutions and tools, aligned with the Onyx's overall product vision and objectives. Customer Understanding: Conduct in depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements. Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals. Agile Product Development: Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management. GenAI Product and Capability Upgrade: Spearhead the development of a new class of AI Agents, powered by LLMs and Generative AI, designed to autonomously execute complex scientific research tasks like hypothesis generation, experimental design, and data interpretation. Design and productize the human agent interaction layer, moving beyond traditional UIs to create conversational and goal driven interfaces that allow scientists to delegate multi step tasks and interpret the outputs of autonomous GenAI systems. Own the product lifecycle for models and agents, leading the strategy for data acquisition, model fine tuning, and the development of APIs/agents that allow them to be leveraged as "tools" by other agents and systems. Model In The Loop Design: Structuring products so that R&D users can easily challenge, verify, and provide feedback to improve the agentic tools and underlying models (human guided iteration). Demonstrate Human + AI collaboration with minimum friction to drive user adoption. Lead highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine tuning foundational models, vector databases, and multi agent system architectures. Cross Functional Collaboration: Collaborate with both tech and RD teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and RD data leadership teams, to align product strategies, gather input, and drive successful implementation plans. Product Launch and Adoption: Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction. Product Performance and Optimization: Continuously monitor product performance, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience. Qualifications & Skills: Bachelors degree in Bioinformatics, Computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering, or related discipline. Significant experience in product management with a proven track record of shipping 0 to 1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large scale enterprise setting. Demonstrated experience defining product strategy for modern applications, including hands on experience with technologies core to AI systems such as vector databases, MLOps, retrieval augmented generation, and model fine tuning. Direct product management experience designing and launching AI agents that can utilize tools (APIs, function calling) to perform complex, multi step actions and reason about their environment. Deep technical fluency with cloud native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM based applications. Preferred Qualifications & Skills: Master's degree or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Data Science, Computer Science/Software Engineering, Cloud Computing or related discipline. Hands on software engineering or data science experience in a GenAI focused team prior to transitioning into product management. Familiarity with the architecture of modern transformer based models and the strategic product trade offs between using proprietary models (e.g., GPT 4, Claude), open source models (e.g., Llama, Mistral), and fine tuning custom models. Experience building products that manage or interpret complex, unstructured biomedical data. Extensive knowledge of bioinformatics, computational biology, or cheminformatics, and a strong vision for how agentic AI can revolutionize the drug discovery process. Extensive product experience designing, optimizing, and implementing Model Context Protocols (MCP) for LLM powered agents, including advanced strategies for prompt engineering, context window management, memory architectures (e.g., short term, long term memory), and ensuring model coherence over extended multi turn interactions. Hands on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc. Previous experience in life science industry or biopharma R&D is a plus. Closing Date for Applications: Wednesday 25th March 2026 (COB) Please note: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and will review all applications, however response times may be longer than usual, and interviews may be scheduled after the New Year. We appreciate your understanding and look forward to connecting soon! Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used to monitor the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients . click apply for full job details
Role summary DBD is a trusted advisor to the nuclear industry and is leading digital transformation within the organisations cleaning up the US legacy sites. We are looking for a Solutions Architect to design and implement innovative technology solutions that streamline and enhance our customers' operations. Within DBD, we expect you to speak on behalf of our clients and to articulate their requirements based on your interactions with them. You will use your in-depth domain knowledge to find the best solutions to meet their needs and kickstart their design and implementation, together with our development teams. What you will be doing Public cloud technologies, design patterns, and best practice (especially Microsoft Azure). Strong verbal and written communication skills, with the ability to work effectively across internal and external organizations. Presenting to our customers' technical governance forums. Effectively communicating the designed solution, highlighting any issues and risks to all parties involved. An understanding of business operations and logistics and the metrics used to determine and measure performance. Relational database design/modelling, technologies, design patterns, tools, and best practice, especially Microsoft SQL. Ensuring each solution complies with our customers' requirements, quality standards, cybersecurity concerns and best practices. Formal qualifications or training Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field. Proven experience as a Solutions Architect or in a similar technical leadership role, ideally within regulated industries or the nuclear sector. Deep expertise in public cloud technologies, design patterns, and best practices, with a strong focus on Microsoft Azure. Make a Difference with DBD At DBD, we know you're looking for more than just a job - you aspire to make a real impact in the nuclear industry. We offer unique opportunities for growth, empowering you to take influential roles within client organisations. Our dedicated team collaborates with clients to positively influence projects across Defence, Decommissioning and New Builds. Having doubled in headcount year-on-year,over the past two years, we continue to welcome new, talented individuals to our team. We're committed to your success. DBD invests in your development and supports your career trajectory in any direction you want to take it. Join us to play a key role in shaping the nuclear sector's future. Make a difference today with DBD. Benefits up to 20% bonus, 25 days holiday, enhanced pension, private health insurance, private dental, and more
Apr 16, 2026
Full time
Role summary DBD is a trusted advisor to the nuclear industry and is leading digital transformation within the organisations cleaning up the US legacy sites. We are looking for a Solutions Architect to design and implement innovative technology solutions that streamline and enhance our customers' operations. Within DBD, we expect you to speak on behalf of our clients and to articulate their requirements based on your interactions with them. You will use your in-depth domain knowledge to find the best solutions to meet their needs and kickstart their design and implementation, together with our development teams. What you will be doing Public cloud technologies, design patterns, and best practice (especially Microsoft Azure). Strong verbal and written communication skills, with the ability to work effectively across internal and external organizations. Presenting to our customers' technical governance forums. Effectively communicating the designed solution, highlighting any issues and risks to all parties involved. An understanding of business operations and logistics and the metrics used to determine and measure performance. Relational database design/modelling, technologies, design patterns, tools, and best practice, especially Microsoft SQL. Ensuring each solution complies with our customers' requirements, quality standards, cybersecurity concerns and best practices. Formal qualifications or training Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field. Proven experience as a Solutions Architect or in a similar technical leadership role, ideally within regulated industries or the nuclear sector. Deep expertise in public cloud technologies, design patterns, and best practices, with a strong focus on Microsoft Azure. Make a Difference with DBD At DBD, we know you're looking for more than just a job - you aspire to make a real impact in the nuclear industry. We offer unique opportunities for growth, empowering you to take influential roles within client organisations. Our dedicated team collaborates with clients to positively influence projects across Defence, Decommissioning and New Builds. Having doubled in headcount year-on-year,over the past two years, we continue to welcome new, talented individuals to our team. We're committed to your success. DBD invests in your development and supports your career trajectory in any direction you want to take it. Join us to play a key role in shaping the nuclear sector's future. Make a difference today with DBD. Benefits up to 20% bonus, 25 days holiday, enhanced pension, private health insurance, private dental, and more
Machine Learning Engineer Department: Project Delivery Employment Type: Permanent - Full Time Location: London Reporting To: Mike Winstanley Description The Machine Learning Engineer role sits within Client Delivery, embedded in the Data & Analytics Consulting (DACs) team - a technical, client facing group of Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI components across Xantura's projects. As an ML Engineer here, your core work is designing, training, evaluating, and productionising machine learning models on complex, multi source datasets from local authorities. You will engineer high performance training pipelines, build embedding based and sequence models, implement LLM and RAG workflows, and develop containerised model services that integrate directly into the OneView platform. This includes hands on work with model architectures, feature engineering, model optimisation, performance debugging, schema aligned data preparation, and ML driven interfaces. This role is for engineers who want to build real models, ship real systems, and solve real operational ML problems - not just prototypes. You will work directly with production data, client technical teams, and our internal engineering ecosystem to deliver AI components that are robust, scalable, and deployed into live environments. Key Responsibilities Machine learning engineering Design, train and optimise predictive models using advanced architectures such as gradient boosted trees, temporal models and embedding based models. Build robust training, evaluation and monitoring pipelines to ensure model quality, reproducibility and auditability. Implement feature engineering, hyperparameter tuning, model debugging and performance optimisation. Productionise models so they run reliably and efficiently at scale in client environments. Data engineering Own schema aware data flows for modelling and cohorts; validate, transform and version datasets used in training and inference. Manage and evolve database schemas; optimise SQL, indexing and partitioning for large training and scoring workloads. Technical delivery Lead the modelling and data engineering components of client projects alongside DACs and Business Consultants. Acquire and extract data from client source systems. Build and validate cohort logic to ensure accuracy, interpretability and alignment with client needs. Troubleshoot and resolve complex modelling and pipeline issues throughout delivery. AI engineering Build and integrate LLM based components including embedding pipelines, RAG workflows and text analysis models. Develop and deploy agentic and multicomponent AI systems using modern ML frameworks. Engineer high performance NLP and sequence models for information extraction, classification and risk prediction. Engineering level platform configuration Configure advanced OneView components linked to modelling outputs such as risk logic, summaries and scoring pathways. Contribute modelling innovations, performance insights and engineering improvements back into the platform. Knowledge sharing and technical leadership Act as an SME for machine learning, AI and model engineering within DACs. Mentor DACs on Python, modelling best practice, data engineering fundamentals and debugging approaches. Produce documentation, templates and reusable components to raise engineering standards across delivery. What are we looking for? We'd love to hear from you if you have: 3-5+ years' experience in machine learning engineering, taking models from development into production. Strong Python engineering skills and experience with modern ML frameworks. Practical experience training and evaluating models (tree based, temporal, embedding/NLP or LLM based). Ability to build reproducible training and evaluation pipelines. Experience containerising and deploying models (e.g., Docker, FastAPI). Solid data & database engineering Strong SQL and experience working with relational databases. Understanding of schemas, data transformations and (ideally) DBT. Experience preparing data for model training and scoring. Hands on AI/LLM experience Working with embeddings, vector databases or RAG style workflows. Experience applying NLP or sequence models to real world datasets. Experience delivering technical work to clients or stakeholders Comfortable defining data requirements, discussing modelling decisions and troubleshooting issues in real time. Clear communication and collaborative mindset Able to explain technical concepts simply and work closely with data scientists, engineers and consultants. Bonus points if you have Experience with Azure ML, AKS or similar cloud environments. Experience with public sector datasets or analytical workflows. Location This is a hybrid role based in our office in London (Borough). You would be expected to be able to work from the office at least 1 2 days per week. Some travel is also required for on site client engagements as needed. What can we offer you? Competitive salary reviewed annually. Work for a passionate, mission driven company solving society's big problems. Work flexible hours around life commitments with a focus on delivering company value rather than hours worked. Ability to work remotely (excluding face to face Team Meetings and client meetings). Training and development opportunities. 25 days annual leave (plus bank holidays). Company pension. Private medical insurance. Generous enhanced parental leave policies. Cycle to work scheme. Flu vaccinations. Eye test and contribution towards glasses for VDU use. Employee Assistance Programme Mental health and wellbeing support. Remote GP access. Counselling/therapy. Physiotherapy. Medical second opinions.
Apr 16, 2026
Full time
Machine Learning Engineer Department: Project Delivery Employment Type: Permanent - Full Time Location: London Reporting To: Mike Winstanley Description The Machine Learning Engineer role sits within Client Delivery, embedded in the Data & Analytics Consulting (DACs) team - a technical, client facing group of Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI components across Xantura's projects. As an ML Engineer here, your core work is designing, training, evaluating, and productionising machine learning models on complex, multi source datasets from local authorities. You will engineer high performance training pipelines, build embedding based and sequence models, implement LLM and RAG workflows, and develop containerised model services that integrate directly into the OneView platform. This includes hands on work with model architectures, feature engineering, model optimisation, performance debugging, schema aligned data preparation, and ML driven interfaces. This role is for engineers who want to build real models, ship real systems, and solve real operational ML problems - not just prototypes. You will work directly with production data, client technical teams, and our internal engineering ecosystem to deliver AI components that are robust, scalable, and deployed into live environments. Key Responsibilities Machine learning engineering Design, train and optimise predictive models using advanced architectures such as gradient boosted trees, temporal models and embedding based models. Build robust training, evaluation and monitoring pipelines to ensure model quality, reproducibility and auditability. Implement feature engineering, hyperparameter tuning, model debugging and performance optimisation. Productionise models so they run reliably and efficiently at scale in client environments. Data engineering Own schema aware data flows for modelling and cohorts; validate, transform and version datasets used in training and inference. Manage and evolve database schemas; optimise SQL, indexing and partitioning for large training and scoring workloads. Technical delivery Lead the modelling and data engineering components of client projects alongside DACs and Business Consultants. Acquire and extract data from client source systems. Build and validate cohort logic to ensure accuracy, interpretability and alignment with client needs. Troubleshoot and resolve complex modelling and pipeline issues throughout delivery. AI engineering Build and integrate LLM based components including embedding pipelines, RAG workflows and text analysis models. Develop and deploy agentic and multicomponent AI systems using modern ML frameworks. Engineer high performance NLP and sequence models for information extraction, classification and risk prediction. Engineering level platform configuration Configure advanced OneView components linked to modelling outputs such as risk logic, summaries and scoring pathways. Contribute modelling innovations, performance insights and engineering improvements back into the platform. Knowledge sharing and technical leadership Act as an SME for machine learning, AI and model engineering within DACs. Mentor DACs on Python, modelling best practice, data engineering fundamentals and debugging approaches. Produce documentation, templates and reusable components to raise engineering standards across delivery. What are we looking for? We'd love to hear from you if you have: 3-5+ years' experience in machine learning engineering, taking models from development into production. Strong Python engineering skills and experience with modern ML frameworks. Practical experience training and evaluating models (tree based, temporal, embedding/NLP or LLM based). Ability to build reproducible training and evaluation pipelines. Experience containerising and deploying models (e.g., Docker, FastAPI). Solid data & database engineering Strong SQL and experience working with relational databases. Understanding of schemas, data transformations and (ideally) DBT. Experience preparing data for model training and scoring. Hands on AI/LLM experience Working with embeddings, vector databases or RAG style workflows. Experience applying NLP or sequence models to real world datasets. Experience delivering technical work to clients or stakeholders Comfortable defining data requirements, discussing modelling decisions and troubleshooting issues in real time. Clear communication and collaborative mindset Able to explain technical concepts simply and work closely with data scientists, engineers and consultants. Bonus points if you have Experience with Azure ML, AKS or similar cloud environments. Experience with public sector datasets or analytical workflows. Location This is a hybrid role based in our office in London (Borough). You would be expected to be able to work from the office at least 1 2 days per week. Some travel is also required for on site client engagements as needed. What can we offer you? Competitive salary reviewed annually. Work for a passionate, mission driven company solving society's big problems. Work flexible hours around life commitments with a focus on delivering company value rather than hours worked. Ability to work remotely (excluding face to face Team Meetings and client meetings). Training and development opportunities. 25 days annual leave (plus bank holidays). Company pension. Private medical insurance. Generous enhanced parental leave policies. Cycle to work scheme. Flu vaccinations. Eye test and contribution towards glasses for VDU use. Employee Assistance Programme Mental health and wellbeing support. Remote GP access. Counselling/therapy. Physiotherapy. Medical second opinions.
Machine Learning Engineer (CS) Department: Customer Success Employment Type: Permanent - Full Time Location: London Reporting To: Mark Dale Description The Machine Learning Engineer role sits within Customer Success; is embedded within the Technical Operations team - a technical group of Data Engineers and ML Engineers responsible for optimising and maintaining advanced machine learning and AI components across Xantura's projects. As an ML Engineer here, your core work is monitoring, training, evaluating, and productionising machine learning models on complex, multi source datasets from local authorities. You will engineer high performance training pipelines, build embedding based and sequence models, implement LLM and RAG workflows, and develop containerised model services that integrate directly into the OneView platform. This includes hands on work with model architectures, feature engineering, model optimisation, performance debugging, schema aligned data preparation, and ML driven interfaces. This is a role for engineers who want to build and maintain real models, ship real systems, and solve real operational ML problems - not just prototypes. You will work directly with production data, client technical teams, and our internal engineering ecosystem to deliver AI components that are robust, scalable, and deployed into live environments. Key Responsibilities Machine learning engineering Design, train and optimise predictive models using advanced architectures such as gradient boosted trees, temporal models and embedding based models. Build robust training, evaluation and monitoring pipelines to ensure model quality, reproducibility and auditability. Implement feature engineering, hyperparameter tuning, model debugging and performance optimisation. Productionise models so they run reliably and efficiently at scale in client environments. Data engineering Own schema aware data flows for modelling and cohorts; validate, transform and version datasets used in training and inference. Manage and evolve database schemas; optimise SQL, indexing and partitioning for large training and scoring workloads. Technical delivery Lead the modelling and data engineering components of client projects alongside Data Engineers. Build and validate cohort logic to ensure accuracy, interpretability and alignment with client needs. Troubleshoot and resolve complex modelling and pipeline issues in BAU. AI engineering Optimise and integrate LLM based components including embedding pipelines, RAG workflows and text analysis models. Develop and deploy agentic and multi component AI systems using modern ML frameworks. Engineer high performance NLP and sequence models for information extraction, classification and risk prediction. Engineering level platform configuration Configure advanced OneView components linked to modelling outputs such as risk logic, summaries and scoring pathways. Contribute modelling innovations, performance insights and engineering improvements back into the platform. Knowledge sharing and technical leadership Act as an SME for machine learning, AI and model engineering within the Technical Operations team. Mentor Data Engineers on Python, modelling best practice, data engineering fundamentals and debugging approaches. Produce documentation, templates and reusable components to raise engineering standards across delivery. What are we looking for? We'd love to hear from you if you have: 3-5+ years' experience in machine learning engineering, taking models from development into production Strong Python engineering skills and experience with modern ML frameworks. Practical experience training and evaluating models (tree based, temporal, embedding/NLP or LLM based). Ability to build reproducible training and evaluation pipelines. Experience containerising and deploying models (e.g., Docker, FastAPI). Solid data and database engineering Strong SQL and experience working with relational databases. Understanding of schemas, data transformations and (ideally) dbt. Experience preparing data for model training and scoring. Hands on AI/LLM experience Working with embeddings, vector databases or RAG style workflows. Experience applying NLP or sequence models to real world datasets. Experience delivering technical work to clients or stakeholders Comfortable defining data requirements, discussing modelling decisions and troubleshooting issues in real time. Clear communication and collaborative mindset Able to explain technical concepts simply and work closely with data, engineers and customer success. Bonus points if you have: Experience with Azure ML, AKS or similar cloud environments. Experience with public sector datasets or analytical workflows. Location - This is a hybrid role based in our office in London (Borough). You would be expected to be able to work from the office at least 1 2 days per week. Some travel is also required for on site client engagements as needed. What can we offer you? Competitive salary reviewed annually Work for a passionate, mission driven company solving society's big problems Work flexible hours around life commitments with a focus on delivering company value rather than hours worked Ability to work remotely (excluding face to face Team Meetings and client meetings) Training and development opportunities 25 days annual leave (plus bank holidays) Company pension Private medical insurance Generous enhanced parental leave policies Cycle to work scheme Flu Vaccinations, Eye Test and contribution towards Glasses for VDU use Employee Assistance Programme Mental health and wellbeing support Remote GP access Counselling/therapy Physiotherapy Medical second opinions
Apr 16, 2026
Full time
Machine Learning Engineer (CS) Department: Customer Success Employment Type: Permanent - Full Time Location: London Reporting To: Mark Dale Description The Machine Learning Engineer role sits within Customer Success; is embedded within the Technical Operations team - a technical group of Data Engineers and ML Engineers responsible for optimising and maintaining advanced machine learning and AI components across Xantura's projects. As an ML Engineer here, your core work is monitoring, training, evaluating, and productionising machine learning models on complex, multi source datasets from local authorities. You will engineer high performance training pipelines, build embedding based and sequence models, implement LLM and RAG workflows, and develop containerised model services that integrate directly into the OneView platform. This includes hands on work with model architectures, feature engineering, model optimisation, performance debugging, schema aligned data preparation, and ML driven interfaces. This is a role for engineers who want to build and maintain real models, ship real systems, and solve real operational ML problems - not just prototypes. You will work directly with production data, client technical teams, and our internal engineering ecosystem to deliver AI components that are robust, scalable, and deployed into live environments. Key Responsibilities Machine learning engineering Design, train and optimise predictive models using advanced architectures such as gradient boosted trees, temporal models and embedding based models. Build robust training, evaluation and monitoring pipelines to ensure model quality, reproducibility and auditability. Implement feature engineering, hyperparameter tuning, model debugging and performance optimisation. Productionise models so they run reliably and efficiently at scale in client environments. Data engineering Own schema aware data flows for modelling and cohorts; validate, transform and version datasets used in training and inference. Manage and evolve database schemas; optimise SQL, indexing and partitioning for large training and scoring workloads. Technical delivery Lead the modelling and data engineering components of client projects alongside Data Engineers. Build and validate cohort logic to ensure accuracy, interpretability and alignment with client needs. Troubleshoot and resolve complex modelling and pipeline issues in BAU. AI engineering Optimise and integrate LLM based components including embedding pipelines, RAG workflows and text analysis models. Develop and deploy agentic and multi component AI systems using modern ML frameworks. Engineer high performance NLP and sequence models for information extraction, classification and risk prediction. Engineering level platform configuration Configure advanced OneView components linked to modelling outputs such as risk logic, summaries and scoring pathways. Contribute modelling innovations, performance insights and engineering improvements back into the platform. Knowledge sharing and technical leadership Act as an SME for machine learning, AI and model engineering within the Technical Operations team. Mentor Data Engineers on Python, modelling best practice, data engineering fundamentals and debugging approaches. Produce documentation, templates and reusable components to raise engineering standards across delivery. What are we looking for? We'd love to hear from you if you have: 3-5+ years' experience in machine learning engineering, taking models from development into production Strong Python engineering skills and experience with modern ML frameworks. Practical experience training and evaluating models (tree based, temporal, embedding/NLP or LLM based). Ability to build reproducible training and evaluation pipelines. Experience containerising and deploying models (e.g., Docker, FastAPI). Solid data and database engineering Strong SQL and experience working with relational databases. Understanding of schemas, data transformations and (ideally) dbt. Experience preparing data for model training and scoring. Hands on AI/LLM experience Working with embeddings, vector databases or RAG style workflows. Experience applying NLP or sequence models to real world datasets. Experience delivering technical work to clients or stakeholders Comfortable defining data requirements, discussing modelling decisions and troubleshooting issues in real time. Clear communication and collaborative mindset Able to explain technical concepts simply and work closely with data, engineers and customer success. Bonus points if you have: Experience with Azure ML, AKS or similar cloud environments. Experience with public sector datasets or analytical workflows. Location - This is a hybrid role based in our office in London (Borough). You would be expected to be able to work from the office at least 1 2 days per week. Some travel is also required for on site client engagements as needed. What can we offer you? Competitive salary reviewed annually Work for a passionate, mission driven company solving society's big problems Work flexible hours around life commitments with a focus on delivering company value rather than hours worked Ability to work remotely (excluding face to face Team Meetings and client meetings) Training and development opportunities 25 days annual leave (plus bank holidays) Company pension Private medical insurance Generous enhanced parental leave policies Cycle to work scheme Flu Vaccinations, Eye Test and contribution towards Glasses for VDU use Employee Assistance Programme Mental health and wellbeing support Remote GP access Counselling/therapy Physiotherapy Medical second opinions
Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity: Help Us Build the Future of Data We believe that when data is accessible, everyone wins. We're looking for a versatile Senior Software Engineer to join our Foundations Team. You'll be the bridge between complex infrastructure and the people who need it. This isn't just about moving data from point A to point B; it's about building the technical "nervous system" of our company-creating the APIs, tools, and security protocols that allow our entire team to innovate without friction. As a member of the Foundations team, you will work closely with Infrastructure, DevEx, and Security engineers. Your goal is to ensure the data platform integrates seamlessly with our other internal tools and becomes a core pillar of our Internal Developer Platform (IDP). Who You'll Empower Our Tech Teams: You'll build the secure APIs and Model Context Protocols (MCPs) that help them stay productive. Data & AI Pioneers: You'll create the stable environments they need to deploy the next generation of AI models. Business Leaders: You'll provide the high-quality dashboards that turn raw numbers into clear strategy. What You'll Do Architect for Growth: Define and refactor data models to ensure they stay fast and clear as we scale. Create a Universal Data Layer: Build GraphQL APIs and connectors so anyone can access data safely, even without deep infra knowledge. Enable GenAI: Get hands-on with the latest tech, building infrastructure for Vector Databases and AI-driven automation. Automate Safety: Implement "Privacy by Design" by automating security checks, so our speed never comes at the cost of safety. About You We care more about your talent and trajectory than a perfect checklist. If you're a curious engineer who loves building reliable, user-friendly systems, we want to hear from you! Engineering Excellence: You have significant experience in commercial software (we use Python, TypeScript, and Go) and a passion for modular, readable code. Systems Thinker: You understand how to treat "data as software" and are comfortable with cloud-native tools (AWS/Azure, Kubernetes). The "Human" Element: You can explain a complex architectural choice to a product manager just as easily as you can to a fellow engineer. Bonus Points: If you've dabbled in GenAI, event-driven architectures, or platform engineering, tell us about it! Benefits Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year Health & Wellness - private medical insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that's always stocked! Our Commitment to Diversity, Equity and Inclusion We're an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here. Our Commitment to Safeguarding Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children's Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.
Apr 15, 2026
Full time
Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity: Help Us Build the Future of Data We believe that when data is accessible, everyone wins. We're looking for a versatile Senior Software Engineer to join our Foundations Team. You'll be the bridge between complex infrastructure and the people who need it. This isn't just about moving data from point A to point B; it's about building the technical "nervous system" of our company-creating the APIs, tools, and security protocols that allow our entire team to innovate without friction. As a member of the Foundations team, you will work closely with Infrastructure, DevEx, and Security engineers. Your goal is to ensure the data platform integrates seamlessly with our other internal tools and becomes a core pillar of our Internal Developer Platform (IDP). Who You'll Empower Our Tech Teams: You'll build the secure APIs and Model Context Protocols (MCPs) that help them stay productive. Data & AI Pioneers: You'll create the stable environments they need to deploy the next generation of AI models. Business Leaders: You'll provide the high-quality dashboards that turn raw numbers into clear strategy. What You'll Do Architect for Growth: Define and refactor data models to ensure they stay fast and clear as we scale. Create a Universal Data Layer: Build GraphQL APIs and connectors so anyone can access data safely, even without deep infra knowledge. Enable GenAI: Get hands-on with the latest tech, building infrastructure for Vector Databases and AI-driven automation. Automate Safety: Implement "Privacy by Design" by automating security checks, so our speed never comes at the cost of safety. About You We care more about your talent and trajectory than a perfect checklist. If you're a curious engineer who loves building reliable, user-friendly systems, we want to hear from you! Engineering Excellence: You have significant experience in commercial software (we use Python, TypeScript, and Go) and a passion for modular, readable code. Systems Thinker: You understand how to treat "data as software" and are comfortable with cloud-native tools (AWS/Azure, Kubernetes). The "Human" Element: You can explain a complex architectural choice to a product manager just as easily as you can to a fellow engineer. Bonus Points: If you've dabbled in GenAI, event-driven architectures, or platform engineering, tell us about it! Benefits Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year Health & Wellness - private medical insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that's always stocked! Our Commitment to Diversity, Equity and Inclusion We're an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here. Our Commitment to Safeguarding Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children's Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.
Overview One of the most exciting prospects in the UK cyber security sector today, Bridewell is a leading cyber security services company specialising in protecting and transforming critical business functions for some of the world's most trusted organisations. We are the trusted partner for operators of essential services and provide end-to-end cyber security capabilities that help our clients overcome their security challenges, allowing them to operate safely and securely. Bridewell holds the Gold level Investors in People award which we feel solidifies and reflects on the outstanding calibre that makes us truly one team. What you'll be doing The Cloud Engineer is a senior technical role responsible for supporting, maintaining, and evolving Bridewell's Microsoft Azure environment and wider cloud-based services. Acting as a 3rd Line escalation point, you will lead on complex troubleshooting, automation, infrastructure-as-code implementation, and secure cloud operations. You will contribute to strengthening Bridewell's modern infrastructure platforms through innovation, automation, resilience and scalable design. This role includes participation in an on-call rota to support business-critical systems and ensure continuity of service. These are some of the key areas where your role will deliver impact and where most of your role-specific goals and objectives will be based. Responsibilities Azure Infrastructure Management Operate as the senior technical SME for Azure infrastructure, identity, networking, monitoring and governance. Implement improvements using Infrastructure as Code (Terraform or Bicep). Maintain secure configurations in line with best practice (CIS, Microsoft CAF, Zero Trust). Azure Secure Score achieved 90% 95-99.9% uptime across business-critical services, excluding planned maintenance. 3rd Line Escalation, Troubleshooting & Mentoring Resolve complex incidents across Azure, M365, Intune, identity, networking and related on-prem hybrid systems. Act as final escalation point for infrastructure issues. Mentor and upskill team. Automation & DevOps Enablement Build CI/CD pipelines (GitHub Actions or Azure DevOps). Use automation to reduce manual tasks across the IT landscape. Collaborate with Cyber and Engineering teams on secure cloud deployments. AI & Intelligent Automation (Desirable) Support the evaluation and adoption of AI driven capabilities across Azure and M365, including Defender AI features, Copilot integrations and automation opportunities. On Call Responsibility Participate in the IT on call rota to ensure 24/7 availability of key business systems. On-call response time within agreed RTO targets 100% of the time. All on-call incidents documented with follow-up actions within 24 hours. What are we looking for? Essential Proven experience as a 3rd Line IT/Cloud Engineer supporting Azure production environments. Strong hands-on experience with: Azure IaaS & PaaS services ARM/Bicep/Terraform IaC Azure networking (VNets, Firewalls, Private Endpoints, VPN/ExpressRoute) Azure AD/Entra ID, Conditional Access, Identity Governance Azure Monitor, Log Analytics, Sentinel (beneficial) Azure Storage, Key Vault, App Services, Function Apps Strong PowerShell scripting capabilities. Experience supporting modern workplace environments with Intune, Autopilot and Microsoft 365. Strong understanding of Zero Trust, security posture management and cloud governance. Ability to work autonomously and handle complex workloads. Data literacy - Interpreting and communicating system, performance and telemetry data to derive insights, support decision making, and demonstrate ITs contribution to the business. Digital agility - Leveraging Azure, automation tooling, and AI-enabled capabilities to modernise infrastructure, streamline processes, and enhance organisational efficiency. This includes using PowerShell, Terraform/Bicep, GitHub Actions/ADO pipelines, Defender for Cloud, and Power Automate to maximise impact. Desirable Certifications AZ 104 - Azure Administrator Associate AZ 305 - Designing Microsoft Azure Infrastructure Solutions AZ 400 - DevOps Engineer Expert AZ 500 - Azure Security Engineer Associate Experience with: GitHub or Azure DevOps repos and pipelines AI/ML tooling or Copilot integrations What's in it for you? Our vision is to create a safe, inclusive digital world where people and organisations can thrive. Our values of Do the Right Thing, One Team and Above and Beyond emphasise the importance of the part we play in society, and our commitment to our people and clients. Our story to-date has been phenomenal, but success doesn't end here and as we continue to grow and scale, we want to keep the same culture, passion and commitment to high quality that has enabled us to get this far. Bridewell will provide a great career opportunity with continual development as well as the following: 25 Days Holiday - Plus buy and sell options Flexible Working (around core office hours) Employee Benefit Trust Company Pension Personal Day & Birthday Off - After 1 year of service Family Leave - After 1 year of service Enhanced Maternity based on length of service Dedicated Training Budget Life Assurance Electric Vehicle Scheme & Cycle to Work Scheme Private Healthcare (incl. Gym discounts and vision care) Location: Bridewell operates a hybrid and flexible working policy, however you will be required to travel to different sites on occasion. Note: To be eligible for this job you must either hold SC or be eligible and willing to go through security clearance. Bridewell values diversity in the workplace and is a fair and equal opportunity employer. We are committed to creating an equal and inclusive working environment, with the aim that our employees will be truly representative of all sections of society and each person feels respected and able to give their best.
Apr 15, 2026
Full time
Overview One of the most exciting prospects in the UK cyber security sector today, Bridewell is a leading cyber security services company specialising in protecting and transforming critical business functions for some of the world's most trusted organisations. We are the trusted partner for operators of essential services and provide end-to-end cyber security capabilities that help our clients overcome their security challenges, allowing them to operate safely and securely. Bridewell holds the Gold level Investors in People award which we feel solidifies and reflects on the outstanding calibre that makes us truly one team. What you'll be doing The Cloud Engineer is a senior technical role responsible for supporting, maintaining, and evolving Bridewell's Microsoft Azure environment and wider cloud-based services. Acting as a 3rd Line escalation point, you will lead on complex troubleshooting, automation, infrastructure-as-code implementation, and secure cloud operations. You will contribute to strengthening Bridewell's modern infrastructure platforms through innovation, automation, resilience and scalable design. This role includes participation in an on-call rota to support business-critical systems and ensure continuity of service. These are some of the key areas where your role will deliver impact and where most of your role-specific goals and objectives will be based. Responsibilities Azure Infrastructure Management Operate as the senior technical SME for Azure infrastructure, identity, networking, monitoring and governance. Implement improvements using Infrastructure as Code (Terraform or Bicep). Maintain secure configurations in line with best practice (CIS, Microsoft CAF, Zero Trust). Azure Secure Score achieved 90% 95-99.9% uptime across business-critical services, excluding planned maintenance. 3rd Line Escalation, Troubleshooting & Mentoring Resolve complex incidents across Azure, M365, Intune, identity, networking and related on-prem hybrid systems. Act as final escalation point for infrastructure issues. Mentor and upskill team. Automation & DevOps Enablement Build CI/CD pipelines (GitHub Actions or Azure DevOps). Use automation to reduce manual tasks across the IT landscape. Collaborate with Cyber and Engineering teams on secure cloud deployments. AI & Intelligent Automation (Desirable) Support the evaluation and adoption of AI driven capabilities across Azure and M365, including Defender AI features, Copilot integrations and automation opportunities. On Call Responsibility Participate in the IT on call rota to ensure 24/7 availability of key business systems. On-call response time within agreed RTO targets 100% of the time. All on-call incidents documented with follow-up actions within 24 hours. What are we looking for? Essential Proven experience as a 3rd Line IT/Cloud Engineer supporting Azure production environments. Strong hands-on experience with: Azure IaaS & PaaS services ARM/Bicep/Terraform IaC Azure networking (VNets, Firewalls, Private Endpoints, VPN/ExpressRoute) Azure AD/Entra ID, Conditional Access, Identity Governance Azure Monitor, Log Analytics, Sentinel (beneficial) Azure Storage, Key Vault, App Services, Function Apps Strong PowerShell scripting capabilities. Experience supporting modern workplace environments with Intune, Autopilot and Microsoft 365. Strong understanding of Zero Trust, security posture management and cloud governance. Ability to work autonomously and handle complex workloads. Data literacy - Interpreting and communicating system, performance and telemetry data to derive insights, support decision making, and demonstrate ITs contribution to the business. Digital agility - Leveraging Azure, automation tooling, and AI-enabled capabilities to modernise infrastructure, streamline processes, and enhance organisational efficiency. This includes using PowerShell, Terraform/Bicep, GitHub Actions/ADO pipelines, Defender for Cloud, and Power Automate to maximise impact. Desirable Certifications AZ 104 - Azure Administrator Associate AZ 305 - Designing Microsoft Azure Infrastructure Solutions AZ 400 - DevOps Engineer Expert AZ 500 - Azure Security Engineer Associate Experience with: GitHub or Azure DevOps repos and pipelines AI/ML tooling or Copilot integrations What's in it for you? Our vision is to create a safe, inclusive digital world where people and organisations can thrive. Our values of Do the Right Thing, One Team and Above and Beyond emphasise the importance of the part we play in society, and our commitment to our people and clients. Our story to-date has been phenomenal, but success doesn't end here and as we continue to grow and scale, we want to keep the same culture, passion and commitment to high quality that has enabled us to get this far. Bridewell will provide a great career opportunity with continual development as well as the following: 25 Days Holiday - Plus buy and sell options Flexible Working (around core office hours) Employee Benefit Trust Company Pension Personal Day & Birthday Off - After 1 year of service Family Leave - After 1 year of service Enhanced Maternity based on length of service Dedicated Training Budget Life Assurance Electric Vehicle Scheme & Cycle to Work Scheme Private Healthcare (incl. Gym discounts and vision care) Location: Bridewell operates a hybrid and flexible working policy, however you will be required to travel to different sites on occasion. Note: To be eligible for this job you must either hold SC or be eligible and willing to go through security clearance. Bridewell values diversity in the workplace and is a fair and equal opportunity employer. We are committed to creating an equal and inclusive working environment, with the aim that our employees will be truly representative of all sections of society and each person feels respected and able to give their best.
A leading cybersecurity services company in Cardiff is seeking a Senior Cloud Engineer to manage and evolve their Azure infrastructure. Responsibilities include troubleshooting complex incidents, leading automation initiatives, and mentoring junior staff. Candidates should have strong experience with Azure services and PowerShell scripting. The position offers a flexible working environment with excellent benefits including a dedicated training budget and 25 days annual leave.
Apr 15, 2026
Full time
A leading cybersecurity services company in Cardiff is seeking a Senior Cloud Engineer to manage and evolve their Azure infrastructure. Responsibilities include troubleshooting complex incidents, leading automation initiatives, and mentoring junior staff. Candidates should have strong experience with Azure services and PowerShell scripting. The position offers a flexible working environment with excellent benefits including a dedicated training budget and 25 days annual leave.
Insight Investment is looking for Security Architect to join the Data Platform team in Manchester. The role will focus on designing, implementing, and continuously enhancing the security of our Snowflake-based data platform hosted on Microsoft Azure. This role has been created to strengthen security-by-design principles throughout the platform's development and delivery processes. Working collaboratively within the team, you will partner closely with engineers and fellow architects to proactively identify cyber threats, devise proportionate security controls, and see these measures through to practical implementation. Your efforts will be instrumental in ensuring our platform remains secure and compliant, while supporting efficient and frictionless delivery. This is a hands-on, delivery-oriented position, embedded within the wider Data Platform team. You will play a key part in shaping our secure system development practices, championing robust governance and regulatory compliance, and enabling trusted access to data for users across the organisation. Role Responsibilities Design and implement security architecture for the Snowflake data platform on Microsoft Azure, encompassing data, identity, network, and platform controls, while embedding security into Snowflake workspaces and GitHub-backed repositories (secure branching, code reviews, pipelines, secrets management, and deployment patterns) Secure integrations with Sigma, Collibra, on-premises systems, other clouds/SaaS, and third-party vendors by ensuring connectivity, authentication, data exchange, and auditability Lead threat modelling and hands-on security assessments for systems, data flows, integrations, and vendors; translate findings into actionable controls, prioritise remediation, and track closure Implement and refine controls across IAM (Entra ID/Azure AD, Snowflake roles/RBAC), networking (private endpoints, firewall rules), encryption and key management (customer-managed keys, Key Vault), secrets management, monitoring, and logging, ensuring operability and observability (logs, alerts, dashboards), incident response, and post-incident learning Define and embed reusable, automatable security patterns, guardrails, and reference architectures in CI/CD; enforce secure data lifecycle controls (ingestion, storage, processing, sharing, retention/deletion), including classification, masking, and least-privilege access Work closely with the platform team and Internal Security to align on standards and enable secure delivery, contribute to Architecture Review Boards and technical risk management, and ensure compliance with legal, regulatory, industry, and enterprise standards, focusing on real risk reduction. Elevate the platform team's security maturity and mindset in the process Experience Required Snowflake on Azure security: role/warehouse design, RBAC, masking/row level controls, network policies, private connectivity, secure data sharing patterns Azure security: identity (Entra ID), network isolation (VNets, Private Link), Key Vault / customer managed keys, policy/blueprints, logging/monitoring GitHub security & DevSecOps: protected branches, code owners, signed commits, secrets management, GitHub Actions hardening, SAST/secret scanning, supply chain hygiene Infrastructure as Code (e.g., Terraform) and pipeline embedded controls (policy as code, automated checks, drift detection) Threat modelling & risk assessment skills; ability to turn threats into concrete, testable mitigations and track them to done Zero Trust and principal of least privilege mindset; strong grasp of enforcing role entitlement over data security (classification, tokenisation/masking, lineage, audit) Security observability: designing for logs, metrics and alerts that support detection, response and auditability Working familiarity with industry frameworks (e.g., NIST CSF, CSA Cloud Controls) to communicate design rationale in governance forums Clear, pragmatic communication to brief engineers, product, architects and ARB succinctly; documents decisions and residual risk Behaviours: collaborative, embedded, outcome focused, balances speed and safety, takes ownership, learns from incidents, influences through expertise, consultative stakeholder style, curiosity, continuous improvement mindset, transparent about trade offs and residual risk Insight is committed to being an inclusive employer and encourages applications from all suitably qualified applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion or belief and sexual orientation. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at About Insight Investment Insight Investment is a leading asset manager focused on designing investment solutions to meet its clients' needs. Founded in 2002, Insight's collaborative approach has delivered both investment performance and growth in assets under management. Insight manages assets across its core liability-driven investment, risk management, full-spectrum fixed income, currency and absolute return capabilities. Insight has a global network of operations in the UK, Ireland, Germany, US, Japan and Australia. More information about Insight Investment can be found at:
Apr 15, 2026
Full time
Insight Investment is looking for Security Architect to join the Data Platform team in Manchester. The role will focus on designing, implementing, and continuously enhancing the security of our Snowflake-based data platform hosted on Microsoft Azure. This role has been created to strengthen security-by-design principles throughout the platform's development and delivery processes. Working collaboratively within the team, you will partner closely with engineers and fellow architects to proactively identify cyber threats, devise proportionate security controls, and see these measures through to practical implementation. Your efforts will be instrumental in ensuring our platform remains secure and compliant, while supporting efficient and frictionless delivery. This is a hands-on, delivery-oriented position, embedded within the wider Data Platform team. You will play a key part in shaping our secure system development practices, championing robust governance and regulatory compliance, and enabling trusted access to data for users across the organisation. Role Responsibilities Design and implement security architecture for the Snowflake data platform on Microsoft Azure, encompassing data, identity, network, and platform controls, while embedding security into Snowflake workspaces and GitHub-backed repositories (secure branching, code reviews, pipelines, secrets management, and deployment patterns) Secure integrations with Sigma, Collibra, on-premises systems, other clouds/SaaS, and third-party vendors by ensuring connectivity, authentication, data exchange, and auditability Lead threat modelling and hands-on security assessments for systems, data flows, integrations, and vendors; translate findings into actionable controls, prioritise remediation, and track closure Implement and refine controls across IAM (Entra ID/Azure AD, Snowflake roles/RBAC), networking (private endpoints, firewall rules), encryption and key management (customer-managed keys, Key Vault), secrets management, monitoring, and logging, ensuring operability and observability (logs, alerts, dashboards), incident response, and post-incident learning Define and embed reusable, automatable security patterns, guardrails, and reference architectures in CI/CD; enforce secure data lifecycle controls (ingestion, storage, processing, sharing, retention/deletion), including classification, masking, and least-privilege access Work closely with the platform team and Internal Security to align on standards and enable secure delivery, contribute to Architecture Review Boards and technical risk management, and ensure compliance with legal, regulatory, industry, and enterprise standards, focusing on real risk reduction. Elevate the platform team's security maturity and mindset in the process Experience Required Snowflake on Azure security: role/warehouse design, RBAC, masking/row level controls, network policies, private connectivity, secure data sharing patterns Azure security: identity (Entra ID), network isolation (VNets, Private Link), Key Vault / customer managed keys, policy/blueprints, logging/monitoring GitHub security & DevSecOps: protected branches, code owners, signed commits, secrets management, GitHub Actions hardening, SAST/secret scanning, supply chain hygiene Infrastructure as Code (e.g., Terraform) and pipeline embedded controls (policy as code, automated checks, drift detection) Threat modelling & risk assessment skills; ability to turn threats into concrete, testable mitigations and track them to done Zero Trust and principal of least privilege mindset; strong grasp of enforcing role entitlement over data security (classification, tokenisation/masking, lineage, audit) Security observability: designing for logs, metrics and alerts that support detection, response and auditability Working familiarity with industry frameworks (e.g., NIST CSF, CSA Cloud Controls) to communicate design rationale in governance forums Clear, pragmatic communication to brief engineers, product, architects and ARB succinctly; documents decisions and residual risk Behaviours: collaborative, embedded, outcome focused, balances speed and safety, takes ownership, learns from incidents, influences through expertise, consultative stakeholder style, curiosity, continuous improvement mindset, transparent about trade offs and residual risk Insight is committed to being an inclusive employer and encourages applications from all suitably qualified applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion or belief and sexual orientation. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at About Insight Investment Insight Investment is a leading asset manager focused on designing investment solutions to meet its clients' needs. Founded in 2002, Insight's collaborative approach has delivered both investment performance and growth in assets under management. Insight manages assets across its core liability-driven investment, risk management, full-spectrum fixed income, currency and absolute return capabilities. Insight has a global network of operations in the UK, Ireland, Germany, US, Japan and Australia. More information about Insight Investment can be found at:
Join a high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI / ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI powered products and services and increasing opportunity for re use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. Job responsibilities Build robust Data Science capabilities which can be scaled across multiple business use cases Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems Research and analyse data sets using a variety of statistical and machine learning techniques Communicate AI capabilities and results to both technical and non-technical audiences Document approaches taken, techniques used and processes followed to comply with industry regulation Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions. Act as an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience. Required qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well-researched interest in NLP Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with pytorch and related data science python libraries (e.g. pandas) Experience of containerising applications or models for deployment (Docker) Experience with one of the major public cloud providers (Azure, AWS, GCP) Ability to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders. Preferred qualifications, capabilities, and skills Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray) Experience of big data technologies Have constructed batch and streaming microservices exposed as REST/gRPC endpoints Experience with container orchestration tools (e.g. Kubernetes, Helm) Knowledge of open source datasets and benchmarks in NLP Hands on experience in implementing distributed/multi threaded/scalable applications Track record of developing, deploying business critical machine learning models
Apr 15, 2026
Full time
Join a high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI / ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI powered products and services and increasing opportunity for re use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. Job responsibilities Build robust Data Science capabilities which can be scaled across multiple business use cases Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems Research and analyse data sets using a variety of statistical and machine learning techniques Communicate AI capabilities and results to both technical and non-technical audiences Document approaches taken, techniques used and processes followed to comply with industry regulation Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions. Act as an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience. Required qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well-researched interest in NLP Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with pytorch and related data science python libraries (e.g. pandas) Experience of containerising applications or models for deployment (Docker) Experience with one of the major public cloud providers (Azure, AWS, GCP) Ability to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders. Preferred qualifications, capabilities, and skills Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray) Experience of big data technologies Have constructed batch and streaming microservices exposed as REST/gRPC endpoints Experience with container orchestration tools (e.g. Kubernetes, Helm) Knowledge of open source datasets and benchmarks in NLP Hands on experience in implementing distributed/multi threaded/scalable applications Track record of developing, deploying business critical machine learning models
Infrastructure Engineer - £60 000 - £65 000 London (Hybrid): 3 days on-site Permanent Full-Time Our client is a globally recognised organisation delivering large-scale digital and media services to audiences worldwide. They operate in a high-availability, enterprise technology environment where infrastructure plays a critical role in supporting production, distribution, and operational systems. As part of continued growth and technology investment, they are expanding their infrastructure capability and modernising their on-premise and cloud platforms to support high-volume data and mission critical services. This is an opportunity to join a technically strong team working on complex infrastructure within a large-scale, performance-driven environment. The Role We are looking for an experienced Infrastructure Engineer to support and maintain core server, storage, and virtualisation platforms across a hybrid infrastructure environment. You will work across physical and virtual systems, ensuring reliability, performance, and security while contributing to infrastructure improvements and operational stability. This role suits someone who enjoys hands on infrastructure engineering, problem solving, and working with enterprise technologies in a collaborative team. Key Responsibilities Install, configure, and maintain enterprise server infrastructure Administer Windows and/or Linux server environments Manage and support enterprise storage platforms (SAN / NAS) Maintain and optimise virtualisation environments (e.g., Hyper V) Support hybrid cloud infrastructure (Azure / AWS) Monitor system performance, availability, and security Troubleshoot infrastructure issues across server, storage, and virtual platforms Maintain infrastructure documentation and system configurations Provide 2nd / 3rd line infrastructure support Participate in an on call rota where required Collaborate with networking and security teams on infrastructure initiatives Required Skills & Experience Experience in an Infrastructure Engineer, Systems Administrator, or similar role Strong knowledge of Windows Server and/or Linux Hands on experience with virtualisation technologies (Hyper V, VMware, or similar) Experience managing enterprise storage (SAN / NAS) Understanding of networking fundamentals: TCP/IP DNS DHCP Strong troubleshooting and analytical skills Ability to manage multiple priorities in a technical environment Strong communication and teamwork skills Experience with Azure or AWS cloud platform Apply directly or reach out on
Apr 15, 2026
Full time
Infrastructure Engineer - £60 000 - £65 000 London (Hybrid): 3 days on-site Permanent Full-Time Our client is a globally recognised organisation delivering large-scale digital and media services to audiences worldwide. They operate in a high-availability, enterprise technology environment where infrastructure plays a critical role in supporting production, distribution, and operational systems. As part of continued growth and technology investment, they are expanding their infrastructure capability and modernising their on-premise and cloud platforms to support high-volume data and mission critical services. This is an opportunity to join a technically strong team working on complex infrastructure within a large-scale, performance-driven environment. The Role We are looking for an experienced Infrastructure Engineer to support and maintain core server, storage, and virtualisation platforms across a hybrid infrastructure environment. You will work across physical and virtual systems, ensuring reliability, performance, and security while contributing to infrastructure improvements and operational stability. This role suits someone who enjoys hands on infrastructure engineering, problem solving, and working with enterprise technologies in a collaborative team. Key Responsibilities Install, configure, and maintain enterprise server infrastructure Administer Windows and/or Linux server environments Manage and support enterprise storage platforms (SAN / NAS) Maintain and optimise virtualisation environments (e.g., Hyper V) Support hybrid cloud infrastructure (Azure / AWS) Monitor system performance, availability, and security Troubleshoot infrastructure issues across server, storage, and virtual platforms Maintain infrastructure documentation and system configurations Provide 2nd / 3rd line infrastructure support Participate in an on call rota where required Collaborate with networking and security teams on infrastructure initiatives Required Skills & Experience Experience in an Infrastructure Engineer, Systems Administrator, or similar role Strong knowledge of Windows Server and/or Linux Hands on experience with virtualisation technologies (Hyper V, VMware, or similar) Experience managing enterprise storage (SAN / NAS) Understanding of networking fundamentals: TCP/IP DNS DHCP Strong troubleshooting and analytical skills Ability to manage multiple priorities in a technical environment Strong communication and teamwork skills Experience with Azure or AWS cloud platform Apply directly or reach out on
Staff Software Engineer (Golang) Department: Engineering Employment Type: Full Time Location: London Description Hybrid: 2 days per week in our Tower Bridge office and 1 time per month to our Fleet office Tempcover is at the forefront of the fast-growing world of short-term insurance. Our mission is to make car insurance flexible, quick, and easy for drivers. We've sold millions of policies that have helped drivers get where they need to go, but we're not finished there. We're growing our team to help us continue in that mission. If you are extraordinary at what you do and want to be a part of a rapidly growing business at the cutting edge of the Insurtech industry, we would love to hear from you! We're part of RVU, a group of online brands that include: Confused, Uswitch, money.co.uk, and Mojo Mortgages. About the role Tempcover is investing heavily in modernising our technology to power the next growth phase of our business. We are looking for a Staff (or Principle) Engineer who can bring a depth and breadth of experience to help shape this journey, working in a role with a high level of ownership, empowerment, impact, and mentorship. The ideal candidate will have strong proficiency in Golang and help shape our new architecture and adoption of this technology in the team. Each engineer plays an integral role in the development, delivery, maintenance, and support of our insurance-based systems, both public-facing and internal. We are looking for a Principal Engineer to serve as the technical anchor for our organization. In this high-impact role, you will move beyond individual contribution to shape the future of our technology. You will unify multiple teams towards a technical strategy together with our long-term company vision. What you'll be doing You will work directly with the VP Engineering to help set the new standard for large-scale system architecture. You will lead by example, personally designing and delivering high quality code which builds systems that are resilient, scalable, and observable, ensuring they can handle our next phase of growth. You will lead the evolution of our platform and will act as the bridge between technical estate and business requirements, ensuring stakeholders understand the why behind technical decisions and tradeoffs, and helping engineers understand how we can get there. Teams will look to you for guidance and you will serve as the escalation point for the most complex technical decisions. You will be mentoring and pairing with senior engineers, helping them grow into technical leaders and foster a culture of technical excellence and continuous learning. What we're looking for The highest level of proficiency designing, developing, operating and improving highly observable applications using Golang and other modern languages Deep understanding of AWS and AWS products like Lambdas, DynamoDB, etc but also comfortable or with tracked experience in Azure and Azure devops Knowledge of containerisation and IaC (Terraform, Pulumi, SST) Experience of having worked on, and led, modernisation initiatives, using techniques like the Strangler Fig Experience with technologies like Cloudflare or similar A solid understanding of development methodologies and design patterns Proficiency with C# ASP.NET, .Net Core are a plus (future work will be written in Golang/TypeScript though) React, Typescript, Astro, NodeJS are also a nice-to-have. You don't need to tick off everything on this list - so don't let that hold you back from applying. We want to make sure you're learning plenty during your time with us! Our commitment to you We are dedicated to developing valuable, inclusive, and user-friendly products and services that deliver positive outcomes for all of our customers. To achieve this, it's essential that our teams reflect the diverse range of people in our community. We believe in being the change we wish to see in the world, by embracing our differences and holding ourselves accountable to being open and inclusive teammates and wider community members. What we offer We want to give you a great work environment, support your growth both personally and professionally, and provide benefits that make your time at RVU even more enjoyable. Here are some of the benefits you can look forward to: 10% discretionary yearly bonus and yearly pay reviews (based on RVU and personal performance) A hybrid working approach with 2 in-office days per week and up to 22 working days per year to "work from anywhere" Employer matching pension contributions up to 7.5% A one-off £300 "work from home" budget to help contribute towards a great work environment at home Excellent maternity, paternity, shared parental and adoption leave policy, for those key moments in your life 25 days holiday (increasing with years of employment to 30 days) + 2 days "my time" per year Private medical cover, critical illness cover and employee assistance programme A healthy learning and training budget Electric vehicle and cycle to work schemes Regular events - from team socials to company-wide events with insightful external speakers, we want to make sure our colleagues continue to feel connected.
Apr 15, 2026
Full time
Staff Software Engineer (Golang) Department: Engineering Employment Type: Full Time Location: London Description Hybrid: 2 days per week in our Tower Bridge office and 1 time per month to our Fleet office Tempcover is at the forefront of the fast-growing world of short-term insurance. Our mission is to make car insurance flexible, quick, and easy for drivers. We've sold millions of policies that have helped drivers get where they need to go, but we're not finished there. We're growing our team to help us continue in that mission. If you are extraordinary at what you do and want to be a part of a rapidly growing business at the cutting edge of the Insurtech industry, we would love to hear from you! We're part of RVU, a group of online brands that include: Confused, Uswitch, money.co.uk, and Mojo Mortgages. About the role Tempcover is investing heavily in modernising our technology to power the next growth phase of our business. We are looking for a Staff (or Principle) Engineer who can bring a depth and breadth of experience to help shape this journey, working in a role with a high level of ownership, empowerment, impact, and mentorship. The ideal candidate will have strong proficiency in Golang and help shape our new architecture and adoption of this technology in the team. Each engineer plays an integral role in the development, delivery, maintenance, and support of our insurance-based systems, both public-facing and internal. We are looking for a Principal Engineer to serve as the technical anchor for our organization. In this high-impact role, you will move beyond individual contribution to shape the future of our technology. You will unify multiple teams towards a technical strategy together with our long-term company vision. What you'll be doing You will work directly with the VP Engineering to help set the new standard for large-scale system architecture. You will lead by example, personally designing and delivering high quality code which builds systems that are resilient, scalable, and observable, ensuring they can handle our next phase of growth. You will lead the evolution of our platform and will act as the bridge between technical estate and business requirements, ensuring stakeholders understand the why behind technical decisions and tradeoffs, and helping engineers understand how we can get there. Teams will look to you for guidance and you will serve as the escalation point for the most complex technical decisions. You will be mentoring and pairing with senior engineers, helping them grow into technical leaders and foster a culture of technical excellence and continuous learning. What we're looking for The highest level of proficiency designing, developing, operating and improving highly observable applications using Golang and other modern languages Deep understanding of AWS and AWS products like Lambdas, DynamoDB, etc but also comfortable or with tracked experience in Azure and Azure devops Knowledge of containerisation and IaC (Terraform, Pulumi, SST) Experience of having worked on, and led, modernisation initiatives, using techniques like the Strangler Fig Experience with technologies like Cloudflare or similar A solid understanding of development methodologies and design patterns Proficiency with C# ASP.NET, .Net Core are a plus (future work will be written in Golang/TypeScript though) React, Typescript, Astro, NodeJS are also a nice-to-have. You don't need to tick off everything on this list - so don't let that hold you back from applying. We want to make sure you're learning plenty during your time with us! Our commitment to you We are dedicated to developing valuable, inclusive, and user-friendly products and services that deliver positive outcomes for all of our customers. To achieve this, it's essential that our teams reflect the diverse range of people in our community. We believe in being the change we wish to see in the world, by embracing our differences and holding ourselves accountable to being open and inclusive teammates and wider community members. What we offer We want to give you a great work environment, support your growth both personally and professionally, and provide benefits that make your time at RVU even more enjoyable. Here are some of the benefits you can look forward to: 10% discretionary yearly bonus and yearly pay reviews (based on RVU and personal performance) A hybrid working approach with 2 in-office days per week and up to 22 working days per year to "work from anywhere" Employer matching pension contributions up to 7.5% A one-off £300 "work from home" budget to help contribute towards a great work environment at home Excellent maternity, paternity, shared parental and adoption leave policy, for those key moments in your life 25 days holiday (increasing with years of employment to 30 days) + 2 days "my time" per year Private medical cover, critical illness cover and employee assistance programme A healthy learning and training budget Electric vehicle and cycle to work schemes Regular events - from team socials to company-wide events with insightful external speakers, we want to make sure our colleagues continue to feel connected.
