Senior GCP VDC Network Engineer Salary: up to £90,000 + Bonus + Benefits Location: Manchester - 2/3 days onsite Working Hours: 40 hours per week A globally established organisation is seeking a Senior GCP VDC Network Engineer to join a Public Cloud Platform function, driving scalable, secure and compliant Google Cloud networking solutions across enterprise environments. This is a senior, hands-on engineering role focused on designing and modernising cloud network services while enabling rapid, seamless cloud adoption. The for the Senior GCP VDC Network Engineer position is suited to an experienced GCP networking specialist who combines deep technical capability with strong collaboration skills, enjoys working in cross-functional feature teams and can lead technical growth within engineering environments. Responsibilities for the Senior GCP VDC Network Engineer: Design, implement and manage GCP Virtual Data Centre network architecture for enterprise workloads Configure and maintain VPCs, subnets, firewalls, routing and peering for secure and scalable connectivity Implement hybrid connectivity solutions including Cloud VPN and Interconnect for on-premise and multi-cloud integration Develop and manage Infrastructure as Code for network resources using Terraform and Terraform Cloud Automate network provisioning and configuration workflows using Python Enforce GCP organisation policies covering network security, encryption and access control Integrate network deployments into CI/CD pipelines to enable automated provisioning and updates Implement policy-as-code guardrails for network governance Optimise network performance, reliability and resilience through monitoring and proactive tuning Collaborate with security teams to implement best practice network controls Support migration of legacy network configurations into unified, reusable templates Troubleshoot and resolve complex networking issues across GCP VDC environments Provide technical leadership and mentoring to engineers within the team Essential Skills for the Senior GCP VDC Network Engineer: Strong hands-on experience with GCP networking including VPCs, subnets, firewalls, routing and peering Proven experience delivering hybrid connectivity using Cloud VPN and Interconnect Strong Infrastructure as Code expertise using Terraform and Terraform Cloud Python scripting for automation and tooling Experience integrating network automation into CI/CD pipelines Knowledge of GCP organisation policies and policy-as-code frameworks GCP certification, ideally Professional Cloud Network Engineer Desirable Skills for the Senior GCP VDC Network Engineer: Experience with enterprise cloud engineering platforms Strong stakeholder engagement and communication capability Experience operating as a senior SME within cloud engineering teams If you are an experienced GCP Network Engineer with strong cloud architecture and automation expertise, looking to lead scalable enterprise cloud networking initiatives, please apply in the immediate instance.
03/03/2026
Full time
Senior GCP VDC Network Engineer Salary: up to £90,000 + Bonus + Benefits Location: Manchester - 2/3 days onsite Working Hours: 40 hours per week A globally established organisation is seeking a Senior GCP VDC Network Engineer to join a Public Cloud Platform function, driving scalable, secure and compliant Google Cloud networking solutions across enterprise environments. This is a senior, hands-on engineering role focused on designing and modernising cloud network services while enabling rapid, seamless cloud adoption. The for the Senior GCP VDC Network Engineer position is suited to an experienced GCP networking specialist who combines deep technical capability with strong collaboration skills, enjoys working in cross-functional feature teams and can lead technical growth within engineering environments. Responsibilities for the Senior GCP VDC Network Engineer: Design, implement and manage GCP Virtual Data Centre network architecture for enterprise workloads Configure and maintain VPCs, subnets, firewalls, routing and peering for secure and scalable connectivity Implement hybrid connectivity solutions including Cloud VPN and Interconnect for on-premise and multi-cloud integration Develop and manage Infrastructure as Code for network resources using Terraform and Terraform Cloud Automate network provisioning and configuration workflows using Python Enforce GCP organisation policies covering network security, encryption and access control Integrate network deployments into CI/CD pipelines to enable automated provisioning and updates Implement policy-as-code guardrails for network governance Optimise network performance, reliability and resilience through monitoring and proactive tuning Collaborate with security teams to implement best practice network controls Support migration of legacy network configurations into unified, reusable templates Troubleshoot and resolve complex networking issues across GCP VDC environments Provide technical leadership and mentoring to engineers within the team Essential Skills for the Senior GCP VDC Network Engineer: Strong hands-on experience with GCP networking including VPCs, subnets, firewalls, routing and peering Proven experience delivering hybrid connectivity using Cloud VPN and Interconnect Strong Infrastructure as Code expertise using Terraform and Terraform Cloud Python scripting for automation and tooling Experience integrating network automation into CI/CD pipelines Knowledge of GCP organisation policies and policy-as-code frameworks GCP certification, ideally Professional Cloud Network Engineer Desirable Skills for the Senior GCP VDC Network Engineer: Experience with enterprise cloud engineering platforms Strong stakeholder engagement and communication capability Experience operating as a senior SME within cloud engineering teams If you are an experienced GCP Network Engineer with strong cloud architecture and automation expertise, looking to lead scalable enterprise cloud networking initiatives, please apply in the immediate instance.
Artificial Intelligence Architect Salary: Up to £100,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: 40 hours per week A globally renowned organisation is seeking an Artificial Intelligence Architect to lead the design and delivery of advanced AI solutions across complex enterprise environments. This is a senior, client-facing role combining deep technical expertise with strategic advisory, focused on Generative and Agentic AI, solution architecture and transformation-led outcomes. The role is suited to an experienced AI leader who can operate at both strategic and hands-on levels, shaping AI platforms, guiding stakeholders and delivering scalable, production-grade solutions. Responsibilities for the Artificial Intelligence Architect: Partner with commercial and delivery teams to qualify opportunities, shape proposals and build compelling business cases Act as a trusted advisor during discovery sessions, workshops and bid processes Translate business requirements into enterprise-grade Data and AI architectures Design and architect Generative AI and Agentic AI solutions for operational support, monitoring and business workflows Lead complex AI implementations, ensuring solutions deliver measurable value Evaluate and select appropriate models, frameworks, orchestration tools and platforms Architect and scale LLM-powered applications including chatbots and agent-based systems Produce thought leadership content and contribute to go-to-market propositions Maintain strong awareness of emerging technologies and the competitive AI landscape Collaborate closely with data science, engineering and business teams to design robust end-to-end solutions Contribute to account strategy, aligning technical delivery with business priorities Drive productivity improvements and cost optimisation through intelligent automation Essential Skills for the Artificial Intelligence Architect: Proven experience architecting solutions across Generative AI, Agentic AI, machine learning and automation Strong understanding of prompt engineering, RAG pipelines, model tuning, MLOps and LLMOps Experience delivering enterprise-scale RAG solutions using LLMs and vector databases Ability to design AI platforms that integrate with existing enterprise technology stacks Hands-on experience with core GenAI frameworks and agent-based AI concepts Strong deployment experience on at least one major cloud platform including AI and ML services Solid software engineering foundation for building scalable, maintainable AI systems Advanced Python expertise with AI and ML frameworks Experience with MLOps and LLMOps tooling including containerisation and orchestration platforms Proven experience delivering applications using state-of-the-art LLMs including prompt design, fine-tuning and evaluation Strong understanding of advanced agent architectures, reasoning systems and evaluation methodologies Excellent stakeholder engagement and consulting capability Experience leading and mentoring teams of AI or software engineers If you are an experienced AI Architect looking to shape enterprise AI strategy and deliver cutting-edge solutions within a high-impact environment, please apply in the immediate instance. AI, Artificial Intelligence
03/03/2026
Full time
Artificial Intelligence Architect Salary: Up to £100,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: 40 hours per week A globally renowned organisation is seeking an Artificial Intelligence Architect to lead the design and delivery of advanced AI solutions across complex enterprise environments. This is a senior, client-facing role combining deep technical expertise with strategic advisory, focused on Generative and Agentic AI, solution architecture and transformation-led outcomes. The role is suited to an experienced AI leader who can operate at both strategic and hands-on levels, shaping AI platforms, guiding stakeholders and delivering scalable, production-grade solutions. Responsibilities for the Artificial Intelligence Architect: Partner with commercial and delivery teams to qualify opportunities, shape proposals and build compelling business cases Act as a trusted advisor during discovery sessions, workshops and bid processes Translate business requirements into enterprise-grade Data and AI architectures Design and architect Generative AI and Agentic AI solutions for operational support, monitoring and business workflows Lead complex AI implementations, ensuring solutions deliver measurable value Evaluate and select appropriate models, frameworks, orchestration tools and platforms Architect and scale LLM-powered applications including chatbots and agent-based systems Produce thought leadership content and contribute to go-to-market propositions Maintain strong awareness of emerging technologies and the competitive AI landscape Collaborate closely with data science, engineering and business teams to design robust end-to-end solutions Contribute to account strategy, aligning technical delivery with business priorities Drive productivity improvements and cost optimisation through intelligent automation Essential Skills for the Artificial Intelligence Architect: Proven experience architecting solutions across Generative AI, Agentic AI, machine learning and automation Strong understanding of prompt engineering, RAG pipelines, model tuning, MLOps and LLMOps Experience delivering enterprise-scale RAG solutions using LLMs and vector databases Ability to design AI platforms that integrate with existing enterprise technology stacks Hands-on experience with core GenAI frameworks and agent-based AI concepts Strong deployment experience on at least one major cloud platform including AI and ML services Solid software engineering foundation for building scalable, maintainable AI systems Advanced Python expertise with AI and ML frameworks Experience with MLOps and LLMOps tooling including containerisation and orchestration platforms Proven experience delivering applications using state-of-the-art LLMs including prompt design, fine-tuning and evaluation Strong understanding of advanced agent architectures, reasoning systems and evaluation methodologies Excellent stakeholder engagement and consulting capability Experience leading and mentoring teams of AI or software engineers If you are an experienced AI Architect looking to shape enterprise AI strategy and deliver cutting-edge solutions within a high-impact environment, please apply in the immediate instance. AI, Artificial Intelligence
Senior IAM Engineer (ForgeRock / Ping Identity) Salary: Up to £90,000 + Bonus + Benefits Location: Leamington Spa - 3 days per week onsite Working Hours: Full time - PermanentA globally established organisation is seeking a Senior IAM Engineer to join its Identity and Access Management function, delivering secure, scalable and resilient identity solutions across enterprise environments. This is a hands-on engineering role focused on designing, implementing and maintaining identity platforms using ForgeRock and Ping Identity's Advanced Identity Cloud. The role is suited to an experienced IAM specialist who enjoys working across complex integrations, strengthening enterprise security posture and driving identity best practice. Responsibilities for the Senior IAM Engineer: Install, configure and deploy ForgeRock and PingOne AIC across on-premise, cloud and hybrid environments Design and implement authentication and authorisation workflows including SSO, MFA and federation Develop custom integrations and policies using Java, JavaScript or Groovy Configure and manage directory services including LDAP and Active Directory Automate IAM deployments using Infrastructure as Code tooling Ensure identity solutions are scalable, highly available and aligned with security and compliance requirements Monitor, optimise and maintain IAM platform performance Perform upgrades, patching and migrations of IAM components Integrate identity services with web applications, APIs, SaaS platforms and mobile applications Develop and consume RESTful APIs for identity functionality Troubleshoot complex integration issues and collaborate with application and infrastructure teams Essential Skills for the Senior IAM Engineer: Strong hands-on experience with ForgeRock and PingOne Advanced Identity Cloud Experience implementing SSO, MFA and federation using SAML, OAuth 2.0 and OpenID Connect Strong understanding of IAM architecture and identity lifecycle management Experience managing LDAP and Active Directory integrations Experience automating deployments using tools such as Ansible or Terraform Strong troubleshooting capability across enterprise IAM environments Ability to deliver secure, compliant and high-availability identity solutions Desirable Skills for the Senior IAM Engineer: Experience working within Agile delivery environments Strong stakeholder engagement and collaboration skills If you are an experienced Senior IAM Engineer with strong ForgeRock and Ping Identity expertise, looking to deliver enterprise-grade identity solutions within a high-impact environment, please apply in the immediate instance. IAM Engineer, IAM Specialist
03/03/2026
Full time
Senior IAM Engineer (ForgeRock / Ping Identity) Salary: Up to £90,000 + Bonus + Benefits Location: Leamington Spa - 3 days per week onsite Working Hours: Full time - PermanentA globally established organisation is seeking a Senior IAM Engineer to join its Identity and Access Management function, delivering secure, scalable and resilient identity solutions across enterprise environments. This is a hands-on engineering role focused on designing, implementing and maintaining identity platforms using ForgeRock and Ping Identity's Advanced Identity Cloud. The role is suited to an experienced IAM specialist who enjoys working across complex integrations, strengthening enterprise security posture and driving identity best practice. Responsibilities for the Senior IAM Engineer: Install, configure and deploy ForgeRock and PingOne AIC across on-premise, cloud and hybrid environments Design and implement authentication and authorisation workflows including SSO, MFA and federation Develop custom integrations and policies using Java, JavaScript or Groovy Configure and manage directory services including LDAP and Active Directory Automate IAM deployments using Infrastructure as Code tooling Ensure identity solutions are scalable, highly available and aligned with security and compliance requirements Monitor, optimise and maintain IAM platform performance Perform upgrades, patching and migrations of IAM components Integrate identity services with web applications, APIs, SaaS platforms and mobile applications Develop and consume RESTful APIs for identity functionality Troubleshoot complex integration issues and collaborate with application and infrastructure teams Essential Skills for the Senior IAM Engineer: Strong hands-on experience with ForgeRock and PingOne Advanced Identity Cloud Experience implementing SSO, MFA and federation using SAML, OAuth 2.0 and OpenID Connect Strong understanding of IAM architecture and identity lifecycle management Experience managing LDAP and Active Directory integrations Experience automating deployments using tools such as Ansible or Terraform Strong troubleshooting capability across enterprise IAM environments Ability to deliver secure, compliant and high-availability identity solutions Desirable Skills for the Senior IAM Engineer: Experience working within Agile delivery environments Strong stakeholder engagement and collaboration skills If you are an experienced Senior IAM Engineer with strong ForgeRock and Ping Identity expertise, looking to deliver enterprise-grade identity solutions within a high-impact environment, please apply in the immediate instance. IAM Engineer, IAM Specialist
Senior Internet Security Engineer Salary: up to £70,000 + Bonus + Benefits Location: Coventry - 3 days per week onsite Working Hours: 40 hours per week An established organisation is seeking an Senior Internet Security Engineer to join its security architecture function, leading the design and evolution of enterprise cloud security capabilities. This is a senior technical role focused on Secure Web Gateway, Cloud Access Security Broker and Data Loss Prevention technologies, supporting a broader Zero Trust and modern security strategy. The Senior Internet Security Engineer position is suited to an experienced security professional who combines deep technical expertise with strong stakeholder engagement and the ability to deliver scalable, future-ready security solutions across complex enterprise environments. Responsibilities for the Internet Security Engineer: Design and implement Internet Security policies to protect corporate endpoints across enterprise environments Define, enable and review Secure Web Gateway and CASB configurations, including traffic steering and policy optimisation Analyse data exfiltration risks and architect robust Data Loss Prevention strategies Apply advanced SSL inspection techniques, defining secure decryption bypass policies while maintaining protection standards Collaborate with Security Operations to enhance controls, manage exceptions and apply ad-hoc site restrictions Administer and optimise the Netskope tenant, including upgrades and performance improvements Design and build internal PKI solutions, integrating with certificate lifecycle management and cloud HSM platforms Define certificate templates and enhance cryptographic resilience through modern PKI practices Architect and deliver Zero Trust Network Access frameworks, including VPN migration and network segmentation initiatives Discover VPN-dependent applications and define firewall changes to support ZTNA transition Support cyber resilience initiatives including segmentation and kill-switch requirements Manage proxy access control configurations and coordinate with network teams for implementation Partner with enterprise compute teams to deploy, upgrade and maintain Internet Security tooling across endpoints Manage EntraID enterprise applications, ensuring SSO, SCIM and identity provider integrations are maintained Mentor junior engineers and contribute to security automation initiatives Essential Skills for the Internet Security Engineer: Strong expertise in Internet Security architecture including policy design, SSL inspection and Data Loss Prevention strategies Proven experience implementing Secure Web Gateway, CASB and Netskope administration within enterprise environments Experience integrating identity platforms including EntraID for SSO and access control Strong background in PKI design, certificate lifecycle management and cryptographic security practices Experience implementing Zero Trust Network Access and supporting VPN modernisation programmes Strong collaboration skills with experience working across Security Operations, Network and Enterprise Compute teams Detail-oriented approach with the ability to deliver scalable, compliant and resilient security frameworks If you are an experienced security architect with strong Netskope expertise and a passion for designing modern Internet Security solutions, please apply in the immediate instance.Internet Security Engineer, Netskope Engineer
03/03/2026
Full time
Senior Internet Security Engineer Salary: up to £70,000 + Bonus + Benefits Location: Coventry - 3 days per week onsite Working Hours: 40 hours per week An established organisation is seeking an Senior Internet Security Engineer to join its security architecture function, leading the design and evolution of enterprise cloud security capabilities. This is a senior technical role focused on Secure Web Gateway, Cloud Access Security Broker and Data Loss Prevention technologies, supporting a broader Zero Trust and modern security strategy. The Senior Internet Security Engineer position is suited to an experienced security professional who combines deep technical expertise with strong stakeholder engagement and the ability to deliver scalable, future-ready security solutions across complex enterprise environments. Responsibilities for the Internet Security Engineer: Design and implement Internet Security policies to protect corporate endpoints across enterprise environments Define, enable and review Secure Web Gateway and CASB configurations, including traffic steering and policy optimisation Analyse data exfiltration risks and architect robust Data Loss Prevention strategies Apply advanced SSL inspection techniques, defining secure decryption bypass policies while maintaining protection standards Collaborate with Security Operations to enhance controls, manage exceptions and apply ad-hoc site restrictions Administer and optimise the Netskope tenant, including upgrades and performance improvements Design and build internal PKI solutions, integrating with certificate lifecycle management and cloud HSM platforms Define certificate templates and enhance cryptographic resilience through modern PKI practices Architect and deliver Zero Trust Network Access frameworks, including VPN migration and network segmentation initiatives Discover VPN-dependent applications and define firewall changes to support ZTNA transition Support cyber resilience initiatives including segmentation and kill-switch requirements Manage proxy access control configurations and coordinate with network teams for implementation Partner with enterprise compute teams to deploy, upgrade and maintain Internet Security tooling across endpoints Manage EntraID enterprise applications, ensuring SSO, SCIM and identity provider integrations are maintained Mentor junior engineers and contribute to security automation initiatives Essential Skills for the Internet Security Engineer: Strong expertise in Internet Security architecture including policy design, SSL inspection and Data Loss Prevention strategies Proven experience implementing Secure Web Gateway, CASB and Netskope administration within enterprise environments Experience integrating identity platforms including EntraID for SSO and access control Strong background in PKI design, certificate lifecycle management and cryptographic security practices Experience implementing Zero Trust Network Access and supporting VPN modernisation programmes Strong collaboration skills with experience working across Security Operations, Network and Enterprise Compute teams Detail-oriented approach with the ability to deliver scalable, compliant and resilient security frameworks If you are an experienced security architect with strong Netskope expertise and a passion for designing modern Internet Security solutions, please apply in the immediate instance.Internet Security Engineer, Netskope Engineer
Azure Solution Architect (IoT Focus) Salary: up to £90,000 + Bonus + Benefits Location: onsite - Central London Working Hours: 40 hours per week - Full timeA globally established organisation is seeking an Azure Solution Architect to support a large-scale Manufacturing Data Management programme. This is a senior architecture role focused on reviewing technical designs, validating configurations and ensuring seamless edge-to-cloud integration across Azure-based IoT ecosystems. The role is suited to an experienced Azure architect with strong IoT exposure who can oversee complex deployments and drive integration across engineering, infrastructure and site teams. Responsibilities for the Azure Solution Architect: Review architectural designs and validate implementation plans across Azure environments Ensure configuration and deployment aligns with enterprise cloud and MDM standards Coordinate with networking and site IT teams to ensure connectivity and firewall readiness Validate edge-to-cloud data flows including payload format, frequency and ingestion design Facilitate Azure subscription access, permissions and resource configuration Own go-live readiness and drive resolution of integration blockers Oversee end-to-end validation of data ingestion pipelines Escalate security, IAM and infrastructure risks impacting delivery Ensure Azure services are deployed, integrated and operating correctly Essential Skills for the Azure Solution Architect: Strong hands-on experience with Microsoft Azure architecture Experience designing and supporting IoT solutions including IoT Hub, IoT Edge and Event Hub Experience with Azure Functions, Service Bus, Cosmos DB and API Management Containerisation and orchestration using Docker and Azure Kubernetes Infrastructure-as-Code experience using Terraform Experience with Web APIs, Azure SQL, Time Series databases and PostgreSQL Strong understanding of cloud networking and integration fundamentals Experience working in complex enterprise or manufacturing environments Desirable Skills for the Azure Solution Architect: Experience with Digital Twin implementations Knowledge of Grafana and InfluxDB Experience using Python Exposure to AI/ML or GenAI technologies If you are an experienced Azure Solution Architect with strong IoT integration experience looking to lead enterprise-scale cloud initiatives, please apply in the immediate instance.Azure Architect, Azure Solutions Architect, IoT Architect
03/03/2026
Full time
Azure Solution Architect (IoT Focus) Salary: up to £90,000 + Bonus + Benefits Location: onsite - Central London Working Hours: 40 hours per week - Full timeA globally established organisation is seeking an Azure Solution Architect to support a large-scale Manufacturing Data Management programme. This is a senior architecture role focused on reviewing technical designs, validating configurations and ensuring seamless edge-to-cloud integration across Azure-based IoT ecosystems. The role is suited to an experienced Azure architect with strong IoT exposure who can oversee complex deployments and drive integration across engineering, infrastructure and site teams. Responsibilities for the Azure Solution Architect: Review architectural designs and validate implementation plans across Azure environments Ensure configuration and deployment aligns with enterprise cloud and MDM standards Coordinate with networking and site IT teams to ensure connectivity and firewall readiness Validate edge-to-cloud data flows including payload format, frequency and ingestion design Facilitate Azure subscription access, permissions and resource configuration Own go-live readiness and drive resolution of integration blockers Oversee end-to-end validation of data ingestion pipelines Escalate security, IAM and infrastructure risks impacting delivery Ensure Azure services are deployed, integrated and operating correctly Essential Skills for the Azure Solution Architect: Strong hands-on experience with Microsoft Azure architecture Experience designing and supporting IoT solutions including IoT Hub, IoT Edge and Event Hub Experience with Azure Functions, Service Bus, Cosmos DB and API Management Containerisation and orchestration using Docker and Azure Kubernetes Infrastructure-as-Code experience using Terraform Experience with Web APIs, Azure SQL, Time Series databases and PostgreSQL Strong understanding of cloud networking and integration fundamentals Experience working in complex enterprise or manufacturing environments Desirable Skills for the Azure Solution Architect: Experience with Digital Twin implementations Knowledge of Grafana and InfluxDB Experience using Python Exposure to AI/ML or GenAI technologies If you are an experienced Azure Solution Architect with strong IoT integration experience looking to lead enterprise-scale cloud initiatives, please apply in the immediate instance.Azure Architect, Azure Solutions Architect, IoT Architect
Job title : 1st / 2nd Line Support Engineer Location : Chessington - Fully Onsite Salary: £30,000 to £40,000 + Benefits Start date : ASAP Working hours : 9:00am to 5:30pm and 8:30am to 5:00pm We are working with a growing Managed Service Provider seeking a motivated 1st / 2nd Line Support Engineer to support their expanding client base. This role will involve a mix of BAU support and project-based work, offering excellent variety and development opportunities. The 1st / 2nd Line Support Engineer will have a proactive, can-do attitude, strong communication skills and a genuine passion for IT. They are looking for someone eager to learn, develop their technical expertise and progress within the business. The 1st / 2nd Line Support Engineer will receive bespoke training, funded training courses and ongoing support, along with clear opportunities to take on greater responsibility and progress both professionally and financially. Essential skills - 1st / 2nd Line Support Engineer: Active Directory & Entra ID Office 365 - MS Teams, SharePoint, Exchange Hardware Support - Break fix and printer set ups Knowledge of networking principles - DNS, DHCP, VPN Knowledge on Firewall Knowledge on backups Drivers license Willing to learn Troubleshooting mindset Excellent customer service skills Desirable skills - 1st / 2nd Line Support Engineer: Group Policies Configured Firewalls and switches Intune Certifications MSP Experience If you're an ambitious 1st / 2nd Line Support Engineer eager to grow your skills and progress within a supportive and expanding MSP environment, apply today with your latest CV to be considered. IT Support / 1st Line Support Engineer / 1st / 2nd Line Support Engineer / Helpdesk Engineer / Service Desk Engineer / Service Desk Analyst
03/03/2026
Full time
Job title : 1st / 2nd Line Support Engineer Location : Chessington - Fully Onsite Salary: £30,000 to £40,000 + Benefits Start date : ASAP Working hours : 9:00am to 5:30pm and 8:30am to 5:00pm We are working with a growing Managed Service Provider seeking a motivated 1st / 2nd Line Support Engineer to support their expanding client base. This role will involve a mix of BAU support and project-based work, offering excellent variety and development opportunities. The 1st / 2nd Line Support Engineer will have a proactive, can-do attitude, strong communication skills and a genuine passion for IT. They are looking for someone eager to learn, develop their technical expertise and progress within the business. The 1st / 2nd Line Support Engineer will receive bespoke training, funded training courses and ongoing support, along with clear opportunities to take on greater responsibility and progress both professionally and financially. Essential skills - 1st / 2nd Line Support Engineer: Active Directory & Entra ID Office 365 - MS Teams, SharePoint, Exchange Hardware Support - Break fix and printer set ups Knowledge of networking principles - DNS, DHCP, VPN Knowledge on Firewall Knowledge on backups Drivers license Willing to learn Troubleshooting mindset Excellent customer service skills Desirable skills - 1st / 2nd Line Support Engineer: Group Policies Configured Firewalls and switches Intune Certifications MSP Experience If you're an ambitious 1st / 2nd Line Support Engineer eager to grow your skills and progress within a supportive and expanding MSP environment, apply today with your latest CV to be considered. IT Support / 1st Line Support Engineer / 1st / 2nd Line Support Engineer / Helpdesk Engineer / Service Desk Engineer / Service Desk Analyst
AI Solutions Architect (Innovation & GenAI) Salary: Up to £120,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: 40 hours per week A globally established organisation is seeking an AI Solutions Architect to lead the design of innovative, cloud-native AI architectures that support rapid experimentation while maintaining a clear path to enterprise-scale delivery. This is a senior, hands-on architecture role focused on shaping proof-of-concepts, MVPs and scalable AI platforms that deliver tangible business value. The AI Solutions Architect role is suited to an experienced architect who combines deep technical expertise with strategic thinking, enjoys working in fast-moving environments, and can guide teams from early ideation through to production-ready solutions. Responsibilities for the AI Solutions Architect: Design pragmatic, fit-for-purpose architectures for AI PoCs and MVPs that can be delivered within short innovation cycles while remaining production-aware Provide technical leadership during client workshops, discovery sessions and ideation phases, assessing feasibility in real time Develop and maintain reusable reference architectures, patterns and templates to accelerate AI solution delivery Evaluate emerging AI tools, platforms and services, making informed build-versus-buy decisions Design cloud-native architectures using serverless and PaaS services to enable rapid deployment, cost control and scalability Define lightweight integration approaches connecting AI solutions with enterprise data sources, systems and APIs Establish security, governance and compliance standards for rapid AI development, ensuring data protection and responsible use Design AI architectures with clear pathways to production scaling, documenting trade-offs and technical decisions Mentor engineers and developers through architectural guidance, reviews and best-practice sharing Build architectural knowledge across multiple domains to support diverse use cases and enterprise contexts Align solutions with established enterprise standards and architectural principles Essential Skills for the AI Solutions Architect: Strong expertise in Python and JavaScript Hands-on experience with backend frameworks and modern frontend frameworks Deep knowledge of Generative AI and agent-based AI frameworks including RAG and orchestration patterns Strong experience working with vector databases and AI-specific data stores Solid understanding of AI and ML models, LLMs and generative AI architectures Experience implementing governance frameworks for model selection, deployment and lifecycle management Hands-on experience with AI-assisted development tools Strong knowledge of cloud AI and ML platforms and associated architecture patterns Experience designing and managing APIs including REST and GraphQL Strong understanding of microservices and serverless architectures Practical experience with DevOps and MLOps practices including CI/CD pipelines Knowledge of security frameworks, identity management and authentication standards Desirable Skills for the AI Solutions Architect: Experience with enterprise integration patterns and event-driven architectures Exposure to data engineering and data platform architectures Experience with Infrastructure as Code tools If you are an AI Solutions Architect with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance.
03/03/2026
Full time
AI Solutions Architect (Innovation & GenAI) Salary: Up to £120,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: 40 hours per week A globally established organisation is seeking an AI Solutions Architect to lead the design of innovative, cloud-native AI architectures that support rapid experimentation while maintaining a clear path to enterprise-scale delivery. This is a senior, hands-on architecture role focused on shaping proof-of-concepts, MVPs and scalable AI platforms that deliver tangible business value. The AI Solutions Architect role is suited to an experienced architect who combines deep technical expertise with strategic thinking, enjoys working in fast-moving environments, and can guide teams from early ideation through to production-ready solutions. Responsibilities for the AI Solutions Architect: Design pragmatic, fit-for-purpose architectures for AI PoCs and MVPs that can be delivered within short innovation cycles while remaining production-aware Provide technical leadership during client workshops, discovery sessions and ideation phases, assessing feasibility in real time Develop and maintain reusable reference architectures, patterns and templates to accelerate AI solution delivery Evaluate emerging AI tools, platforms and services, making informed build-versus-buy decisions Design cloud-native architectures using serverless and PaaS services to enable rapid deployment, cost control and scalability Define lightweight integration approaches connecting AI solutions with enterprise data sources, systems and APIs Establish security, governance and compliance standards for rapid AI development, ensuring data protection and responsible use Design AI architectures with clear pathways to production scaling, documenting trade-offs and technical decisions Mentor engineers and developers through architectural guidance, reviews and best-practice sharing Build architectural knowledge across multiple domains to support diverse use cases and enterprise contexts Align solutions with established enterprise standards and architectural principles Essential Skills for the AI Solutions Architect: Strong expertise in Python and JavaScript Hands-on experience with backend frameworks and modern frontend frameworks Deep knowledge of Generative AI and agent-based AI frameworks including RAG and orchestration patterns Strong experience working with vector databases and AI-specific data stores Solid understanding of AI and ML models, LLMs and generative AI architectures Experience implementing governance frameworks for model selection, deployment and lifecycle management Hands-on experience with AI-assisted development tools Strong knowledge of cloud AI and ML platforms and associated architecture patterns Experience designing and managing APIs including REST and GraphQL Strong understanding of microservices and serverless architectures Practical experience with DevOps and MLOps practices including CI/CD pipelines Knowledge of security frameworks, identity management and authentication standards Desirable Skills for the AI Solutions Architect: Experience with enterprise integration patterns and event-driven architectures Exposure to data engineering and data platform architectures Experience with Infrastructure as Code tools If you are an AI Solutions Architect with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance.
Azure Solution Architect (IoT Focus) Salary: up to £90,000 + Bonus + Benefits Location: onsite - West Yorkshire Working Hours: 40 hours per week - Full timeA globally established organisation is seeking an Azure Solution Architect to support a large-scale Manufacturing Data Management programme. This is a senior architecture role focused on reviewing technical designs, validating configurations and ensuring seamless edge-to-cloud integration across Azure-based IoT ecosystems. The role is suited to an experienced Azure architect with strong IoT exposure who can oversee complex deployments and drive integration across engineering, infrastructure and site teams. Responsibilities for the Azure Solution Architect: Review architectural designs and validate implementation plans across Azure environments Ensure configuration and deployment aligns with enterprise cloud and MDM standards Coordinate with networking and site IT teams to ensure connectivity and firewall readiness Validate edge-to-cloud data flows including payload format, frequency and ingestion design Facilitate Azure subscription access, permissions and resource configuration Own go-live readiness and drive resolution of integration blockers Oversee end-to-end validation of data ingestion pipelines Escalate security, IAM and infrastructure risks impacting delivery Ensure Azure services are deployed, integrated and operating correctly Essential Skills for the Azure Solution Architect: Strong hands-on experience with Microsoft Azure architecture Experience designing and supporting IoT solutions including IoT Hub, IoT Edge and Event Hub Experience with Azure Functions, Service Bus, Cosmos DB and API Management Containerisation and orchestration using Docker and Azure Kubernetes Infrastructure-as-Code experience using Terraform Experience with Web APIs, Azure SQL, Time Series databases and PostgreSQL Strong understanding of cloud networking and integration fundamentals Experience working in complex enterprise or manufacturing environments Desirable Skills for the Azure Solution Architect: Experience with Digital Twin implementations Knowledge of Grafana and InfluxDB Experience using Python Exposure to AI/ML or GenAI technologies If you are an experienced Azure Solution Architect with strong IoT integration experience looking to lead enterprise-scale cloud initiatives, please apply in the immediate instance.Azure Architect, Azure Solutions Architect, IoT Architect
03/03/2026
Full time
Azure Solution Architect (IoT Focus) Salary: up to £90,000 + Bonus + Benefits Location: onsite - West Yorkshire Working Hours: 40 hours per week - Full timeA globally established organisation is seeking an Azure Solution Architect to support a large-scale Manufacturing Data Management programme. This is a senior architecture role focused on reviewing technical designs, validating configurations and ensuring seamless edge-to-cloud integration across Azure-based IoT ecosystems. The role is suited to an experienced Azure architect with strong IoT exposure who can oversee complex deployments and drive integration across engineering, infrastructure and site teams. Responsibilities for the Azure Solution Architect: Review architectural designs and validate implementation plans across Azure environments Ensure configuration and deployment aligns with enterprise cloud and MDM standards Coordinate with networking and site IT teams to ensure connectivity and firewall readiness Validate edge-to-cloud data flows including payload format, frequency and ingestion design Facilitate Azure subscription access, permissions and resource configuration Own go-live readiness and drive resolution of integration blockers Oversee end-to-end validation of data ingestion pipelines Escalate security, IAM and infrastructure risks impacting delivery Ensure Azure services are deployed, integrated and operating correctly Essential Skills for the Azure Solution Architect: Strong hands-on experience with Microsoft Azure architecture Experience designing and supporting IoT solutions including IoT Hub, IoT Edge and Event Hub Experience with Azure Functions, Service Bus, Cosmos DB and API Management Containerisation and orchestration using Docker and Azure Kubernetes Infrastructure-as-Code experience using Terraform Experience with Web APIs, Azure SQL, Time Series databases and PostgreSQL Strong understanding of cloud networking and integration fundamentals Experience working in complex enterprise or manufacturing environments Desirable Skills for the Azure Solution Architect: Experience with Digital Twin implementations Knowledge of Grafana and InfluxDB Experience using Python Exposure to AI/ML or GenAI technologies If you are an experienced Azure Solution Architect with strong IoT integration experience looking to lead enterprise-scale cloud initiatives, please apply in the immediate instance.Azure Architect, Azure Solutions Architect, IoT Architect
AI Ops Engineer Salary: Up to £85,000 Location: Hybrid - 3 days per week onsite in Derby Working Hours: Full time - Monday to Friday A globally renowned organisation is seeking an AI Ops Engineer to join a growing AI and data function, taking ownership of the operational backbone that enables AI systems to run reliably, securely and at scale in production environments. This AI Ops Engineer role sits at the intersection of machine learning, cloud infrastructure and DevOps, supporting the full lifecycle of AI solutions from deployment through to ongoing optimisation. The AI Ops Engineer position is well suited to an engineer who enjoys building resilient platforms, improving operational maturity and working closely with data scientists and software engineers to deliver production-grade AI capability. Responsibilities for the AI Ops Engineer: Design, build and operate deployment pipelines for AI models, prompts and supporting artefacts Own lifecycle management including versioning, promotion, rollback and retirement of AI solutions Implement monitoring and observability covering performance, usage, drift and data quality Ensure AI systems meet security, compliance and governance requirements Optimise inference performance, scalability and cost efficiency Manage infrastructure supporting training and inference including cloud platforms, containers and GPU resources Enable reproducibility through experiment tracking and artefact management Support incident response, root-cause analysis and resolution of AI-related failures Collaborate with data scientists and software engineers to design scalable, reliable machine learning infrastructure Develop and maintain CI/CD pipelines for machine learning workloads Maintain standards for version control, testing and technical documentation Work with cross-functional teams to integrate AI solutions into existing platforms and workflows Stay current with advancements in MLOps, DevOps and AI operations, driving continuous improvement Essential Skills for the AI Ops Engineer: Strong experience operating machine learning or AI systems in production environments Hands-on experience with CI/CD pipelines for data or ML workloads Experience managing cloud-based infrastructure for AI workloads Solid understanding of monitoring, observability and operational resilience Strong collaboration skills with the ability to work across engineering and data teams Experience supporting secure, compliant and well-governed systems Desirable Skills for the AI Ops Engineer: Experience integrating Python-based services with modern front-end frameworks Familiarity with MLOps practices for deploying, monitoring and managing AI systems Exposure to large-scale enterprise data environments or knowledge management systems Understanding of Agile delivery practices and collaborative tooling Knowledge of data security, compliance and responsible AI principles Domain exposure within engineering or manufacturing environments If you are an AI Ops Engineer looking to take ownership of AI operations within a complex, production-focused environment, please apply in the immediate instance. AI, Artificial Intelligence
03/03/2026
Full time
AI Ops Engineer Salary: Up to £85,000 Location: Hybrid - 3 days per week onsite in Derby Working Hours: Full time - Monday to Friday A globally renowned organisation is seeking an AI Ops Engineer to join a growing AI and data function, taking ownership of the operational backbone that enables AI systems to run reliably, securely and at scale in production environments. This AI Ops Engineer role sits at the intersection of machine learning, cloud infrastructure and DevOps, supporting the full lifecycle of AI solutions from deployment through to ongoing optimisation. The AI Ops Engineer position is well suited to an engineer who enjoys building resilient platforms, improving operational maturity and working closely with data scientists and software engineers to deliver production-grade AI capability. Responsibilities for the AI Ops Engineer: Design, build and operate deployment pipelines for AI models, prompts and supporting artefacts Own lifecycle management including versioning, promotion, rollback and retirement of AI solutions Implement monitoring and observability covering performance, usage, drift and data quality Ensure AI systems meet security, compliance and governance requirements Optimise inference performance, scalability and cost efficiency Manage infrastructure supporting training and inference including cloud platforms, containers and GPU resources Enable reproducibility through experiment tracking and artefact management Support incident response, root-cause analysis and resolution of AI-related failures Collaborate with data scientists and software engineers to design scalable, reliable machine learning infrastructure Develop and maintain CI/CD pipelines for machine learning workloads Maintain standards for version control, testing and technical documentation Work with cross-functional teams to integrate AI solutions into existing platforms and workflows Stay current with advancements in MLOps, DevOps and AI operations, driving continuous improvement Essential Skills for the AI Ops Engineer: Strong experience operating machine learning or AI systems in production environments Hands-on experience with CI/CD pipelines for data or ML workloads Experience managing cloud-based infrastructure for AI workloads Solid understanding of monitoring, observability and operational resilience Strong collaboration skills with the ability to work across engineering and data teams Experience supporting secure, compliant and well-governed systems Desirable Skills for the AI Ops Engineer: Experience integrating Python-based services with modern front-end frameworks Familiarity with MLOps practices for deploying, monitoring and managing AI systems Exposure to large-scale enterprise data environments or knowledge management systems Understanding of Agile delivery practices and collaborative tooling Knowledge of data security, compliance and responsible AI principles Domain exposure within engineering or manufacturing environments If you are an AI Ops Engineer looking to take ownership of AI operations within a complex, production-focused environment, please apply in the immediate instance. AI, Artificial Intelligence
AI Engineer Salary: Up to £80,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: Full time - Monday to Friday A globally renowned organisation is seeking an AI Engineer to join a high-performing technology function delivering intelligent, production-grade AI solutions across enterprise environments. This is a hands-on role combining full-stack engineering with advanced AI system development, focused on building scalable, secure and impactful solutions that deliver measurable business value. The AI Engineer role suits an experienced engineer with strong software foundations and practical expertise across Generative AI, Agentic AI and machine learning, who enjoys working closely with stakeholders and contributing to complex delivery initiatives. Responsibilities for the AI Engineer: Design, develop and maintain end-to-end AI solutions spanning front-end interfaces, back-end services and data pipelines Build, optimise and deploy AI and machine learning models ensuring solutions are scalable, maintainable and production-ready Deliver Generative AI, Agentic AI and classical machine learning solutions aligned to enterprise requirements Integrate AI systems with existing enterprise platforms ensuring stability and seamless operation Collaborate closely with data scientists, engineers and business stakeholders to identify opportunities and deliver robust solutions Provide technical guidance and mentorship to junior engineers, promoting best practice across AI development Lead implementation of engineering standards across AI and ML delivery Stay current with emerging AI technologies and contribute to continuous innovation Essential Skills for the AI Engineer: Strong proficiency in Python with extensive experience using AI, ML and NLP libraries Hands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluation Practical experience with core Generative AI frameworks and agent-based AI frameworks Strong experience with MLOps and LLMOps tooling including model lifecycle management Proven deployment experience on major cloud platforms including AI and ML services Solid foundation in software engineering principles for scalable, production-grade systems Experience designing and delivering enterprise AI solutions including RAG-based architectures using vector databases Proven experience delivering full-stack AI or ML systems within enterprise environments Strong understanding of advanced agent architectures, reasoning systems and autonomous workflows Excellent communication and stakeholder management capability Experience supporting proposals, client-facing discussions or technical presentations If you are an AI Engineer with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance. AI, Artificial Intelligence
03/03/2026
Full time
AI Engineer Salary: Up to £80,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: Full time - Monday to Friday A globally renowned organisation is seeking an AI Engineer to join a high-performing technology function delivering intelligent, production-grade AI solutions across enterprise environments. This is a hands-on role combining full-stack engineering with advanced AI system development, focused on building scalable, secure and impactful solutions that deliver measurable business value. The AI Engineer role suits an experienced engineer with strong software foundations and practical expertise across Generative AI, Agentic AI and machine learning, who enjoys working closely with stakeholders and contributing to complex delivery initiatives. Responsibilities for the AI Engineer: Design, develop and maintain end-to-end AI solutions spanning front-end interfaces, back-end services and data pipelines Build, optimise and deploy AI and machine learning models ensuring solutions are scalable, maintainable and production-ready Deliver Generative AI, Agentic AI and classical machine learning solutions aligned to enterprise requirements Integrate AI systems with existing enterprise platforms ensuring stability and seamless operation Collaborate closely with data scientists, engineers and business stakeholders to identify opportunities and deliver robust solutions Provide technical guidance and mentorship to junior engineers, promoting best practice across AI development Lead implementation of engineering standards across AI and ML delivery Stay current with emerging AI technologies and contribute to continuous innovation Essential Skills for the AI Engineer: Strong proficiency in Python with extensive experience using AI, ML and NLP libraries Hands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluation Practical experience with core Generative AI frameworks and agent-based AI frameworks Strong experience with MLOps and LLMOps tooling including model lifecycle management Proven deployment experience on major cloud platforms including AI and ML services Solid foundation in software engineering principles for scalable, production-grade systems Experience designing and delivering enterprise AI solutions including RAG-based architectures using vector databases Proven experience delivering full-stack AI or ML systems within enterprise environments Strong understanding of advanced agent architectures, reasoning systems and autonomous workflows Excellent communication and stakeholder management capability Experience supporting proposals, client-facing discussions or technical presentations If you are an AI Engineer with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance. AI, Artificial Intelligence
AI Engineer Salary: Up to £85,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: 40 hours per week - Full time A globally renowned organisation is seeking an AI Engineer to join a forward-looking innovation function focused on rapid experimentation, applied artificial intelligence and real-world delivery. This role offers the opportunity to design, build and demonstrate AI solutions that address complex business challenges across multiple domains. The position is well suited to a hands-on engineer who enjoys fast-paced environments, collaborative problem-solving and working across the full lifecycle from concept through to demonstrable outcomes. Responsibilities for the AI Engineer: Design and deliver AI-powered proof-of-concept solutions, MVPs and prototype demonstrations within short innovation cycles Lead technical delivery during workshops, discovery sessions and innovation sprints Build and deploy machine learning and generative AI solutions using large and small language models plus vision and image-based models Develop lightweight APIs within serverless or PaaS environments to support rapid integration and demonstrations Work across varied business contexts, quickly understanding requirements and adapting AI approaches accordingly Evaluate emerging AI tools frameworks methodologies plus create reusable components to accelerate future delivery Engage directly with stakeholders to gather requirements, present findings and explain technical outcomes clearly Apply security, data protection and AI safety principles across all delivered solutions Essential Skills for the AI Engineer: Strong experience with Python plus JavaScript Hands-on experience with AI-assisted development tools Experience building RESTful APIs using frameworks such as Flask or Django Strong SQL capability including PostgreSQL or MySQL plus experience with vector databases Experience working with microservices or serverless architectures Practical exposure to machine learning plus generative AI models including LLMs SLMs vision models Familiarity with AI frameworks such as RAG LangChain LlamaIndex plus agentic frameworks Hands-on cloud experience within Azure or AWS plus CI/CD tooling and Git Desirable Skills for the AI Engineer: Experience using Pandas NumPy or PyTorch Exposure to NodeJS VueJS or equivalent frontend technologies If you are an AI Engineer with strong hands-on capability and a passion for applying modern AI technologies to real business challenges, please apply in the immediate instance. AI, Artificial Intelligence
03/03/2026
Full time
AI Engineer Salary: Up to £85,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: 40 hours per week - Full time A globally renowned organisation is seeking an AI Engineer to join a forward-looking innovation function focused on rapid experimentation, applied artificial intelligence and real-world delivery. This role offers the opportunity to design, build and demonstrate AI solutions that address complex business challenges across multiple domains. The position is well suited to a hands-on engineer who enjoys fast-paced environments, collaborative problem-solving and working across the full lifecycle from concept through to demonstrable outcomes. Responsibilities for the AI Engineer: Design and deliver AI-powered proof-of-concept solutions, MVPs and prototype demonstrations within short innovation cycles Lead technical delivery during workshops, discovery sessions and innovation sprints Build and deploy machine learning and generative AI solutions using large and small language models plus vision and image-based models Develop lightweight APIs within serverless or PaaS environments to support rapid integration and demonstrations Work across varied business contexts, quickly understanding requirements and adapting AI approaches accordingly Evaluate emerging AI tools frameworks methodologies plus create reusable components to accelerate future delivery Engage directly with stakeholders to gather requirements, present findings and explain technical outcomes clearly Apply security, data protection and AI safety principles across all delivered solutions Essential Skills for the AI Engineer: Strong experience with Python plus JavaScript Hands-on experience with AI-assisted development tools Experience building RESTful APIs using frameworks such as Flask or Django Strong SQL capability including PostgreSQL or MySQL plus experience with vector databases Experience working with microservices or serverless architectures Practical exposure to machine learning plus generative AI models including LLMs SLMs vision models Familiarity with AI frameworks such as RAG LangChain LlamaIndex plus agentic frameworks Hands-on cloud experience within Azure or AWS plus CI/CD tooling and Git Desirable Skills for the AI Engineer: Experience using Pandas NumPy or PyTorch Exposure to NodeJS VueJS or equivalent frontend technologies If you are an AI Engineer with strong hands-on capability and a passion for applying modern AI technologies to real business challenges, please apply in the immediate instance. AI, Artificial Intelligence
Cyber Security Analyst Salary: Up to £70,000 + Bonus + Benefits Location: London - 3-5 days per week onsite Working Hours: 40 hours per week - Full time A globally established organisation is seeking a Cyber Security Analyst to join its Security Operations function, playing a key role in strengthening cyber resilience and protecting critical enterprise systems. This is a hands-on operational security role focused on threat detection, incident response and continuous improvement of security monitoring capabilities. The position of Cyber Security Analyst is suited to an experienced security professional who thrives in fast-paced environments, enjoys investigative work and can collaborate effectively across technical and business stakeholders. Responsibilities for the Cyber Security Analyst: Monitor, investigate and respond to security alerts across SIEM platforms and ticketing systems, managing incidents through to resolution Participate in an on-call rota to support live security incidents Manage incident queues and approvals within IT service management tools Act as a subject matter expert for nominated security technologies, ensuring effective configuration and optimisation Support assurance activities relating to Managed Security Service Providers Maintain and enhance SecOps processes and documentation to enable knowledge sharing Investigate security events, perform vulnerability analysis and support remediation activities Analyse cyber threat intelligence and translate insights into actionable detection improvements Process indicators of compromise and indicators of attack to enhance detection rules Conduct proactive threat hunting based on emerging threats Perform confidential eDiscovery investigations and present findings where required Collaborate with IT teams and stakeholders to strengthen overall security posture Essential Skills for the Cyber Security Analyst: Strong experience in security use case development and security tooling operations Practical experience with SIEM platforms and vulnerability management solutions Solid understanding of Security Operations processes and incident response frameworks Knowledge of networking fundamentals, IAM, perimeter controls and operating systems Understanding of cloud security controls and container security Experience with EDR tooling and familiarity with the MITRE ATT&CK framework Experience with scripting or basic coding for automation Experience conducting investigations including eDiscovery Industry recognised security certifications such as CISSP, GIAC or CEH Strong analytical, problem-solving and stakeholder communication skills Ability to perform effectively under pressure during security incidents Desirable Skills for the Cyber Security Analyst: Exposure to retail sector environments Experience working with Managed Security Service Providers Strong collaboration and influencing capability Curiosity around emerging cyber threats and defensive strategies If you are an experienced Cyber Security Analyst with strong investigative capability and a passion for proactive security operations, please apply in the immediate instance.Cyber Security Analyst, Cyber Defence Analyst, Security Analyst, Security Operations Analyst, Cyber Security Operations Analyst, Security Incident Analyst
03/03/2026
Full time
Cyber Security Analyst Salary: Up to £70,000 + Bonus + Benefits Location: London - 3-5 days per week onsite Working Hours: 40 hours per week - Full time A globally established organisation is seeking a Cyber Security Analyst to join its Security Operations function, playing a key role in strengthening cyber resilience and protecting critical enterprise systems. This is a hands-on operational security role focused on threat detection, incident response and continuous improvement of security monitoring capabilities. The position of Cyber Security Analyst is suited to an experienced security professional who thrives in fast-paced environments, enjoys investigative work and can collaborate effectively across technical and business stakeholders. Responsibilities for the Cyber Security Analyst: Monitor, investigate and respond to security alerts across SIEM platforms and ticketing systems, managing incidents through to resolution Participate in an on-call rota to support live security incidents Manage incident queues and approvals within IT service management tools Act as a subject matter expert for nominated security technologies, ensuring effective configuration and optimisation Support assurance activities relating to Managed Security Service Providers Maintain and enhance SecOps processes and documentation to enable knowledge sharing Investigate security events, perform vulnerability analysis and support remediation activities Analyse cyber threat intelligence and translate insights into actionable detection improvements Process indicators of compromise and indicators of attack to enhance detection rules Conduct proactive threat hunting based on emerging threats Perform confidential eDiscovery investigations and present findings where required Collaborate with IT teams and stakeholders to strengthen overall security posture Essential Skills for the Cyber Security Analyst: Strong experience in security use case development and security tooling operations Practical experience with SIEM platforms and vulnerability management solutions Solid understanding of Security Operations processes and incident response frameworks Knowledge of networking fundamentals, IAM, perimeter controls and operating systems Understanding of cloud security controls and container security Experience with EDR tooling and familiarity with the MITRE ATT&CK framework Experience with scripting or basic coding for automation Experience conducting investigations including eDiscovery Industry recognised security certifications such as CISSP, GIAC or CEH Strong analytical, problem-solving and stakeholder communication skills Ability to perform effectively under pressure during security incidents Desirable Skills for the Cyber Security Analyst: Exposure to retail sector environments Experience working with Managed Security Service Providers Strong collaboration and influencing capability Curiosity around emerging cyber threats and defensive strategies If you are an experienced Cyber Security Analyst with strong investigative capability and a passion for proactive security operations, please apply in the immediate instance.Cyber Security Analyst, Cyber Defence Analyst, Security Analyst, Security Operations Analyst, Cyber Security Operations Analyst, Security Incident Analyst
Data Architect (MDM Focus) Salary: Up to £90,000 + Bonus + Benefits Location: Central London - Onsite Working Hours: 40 hours per week - Full time A globally established organisation is seeking a Data Architect to join a large-scale enterprise data transformation programme. This role will focus on the design and delivery of Master Data Management solutions, supporting the creation of high-quality, governed and scalable master data assets across the organisation. This is a hands-on architectural role suited to an experienced data professional with strong Informatica expertise who can define data models, establish MDM frameworks and drive best practice across enterprise data architecture. Responsibilities for the Data Architect: Define conceptual, logical and physical data models for master data domains, ensuring alignment with enterprise architecture standards Design and implement scalable Master Data Management frameworks and integration patterns Architect data ingestion pipelines and ETL processes integrating multiple source systems into an MDM hub Define matching, merging and survivorship rules to ensure trusted master data Establish data quality frameworks including validation and governance controls Ensure alignment with security, compliance and enterprise data governance standards Collaborate with business and technology stakeholders to align master data architecture with operational and analytical use cases Essential Skills for the Data Architect: Strong hands-on experience with Informatica MDM Experience with Informatica CDQ and enterprise data quality tooling Strong background in data modelling and data architecture principles Experience designing and delivering Master Data Management solutions in complex environments Strong understanding of data governance, lineage and lifecycle management Desirable Skills for the Data Architect: Experience within insurance or regulated financial services environments Experience contributing to large-scale data transformation programmes If you are an experienced Data Architect with strong MDM expertise looking to drive enterprise data transformation initiatives, please apply in the immediate instance. Data Architect, MDM Architect
03/03/2026
Full time
Data Architect (MDM Focus) Salary: Up to £90,000 + Bonus + Benefits Location: Central London - Onsite Working Hours: 40 hours per week - Full time A globally established organisation is seeking a Data Architect to join a large-scale enterprise data transformation programme. This role will focus on the design and delivery of Master Data Management solutions, supporting the creation of high-quality, governed and scalable master data assets across the organisation. This is a hands-on architectural role suited to an experienced data professional with strong Informatica expertise who can define data models, establish MDM frameworks and drive best practice across enterprise data architecture. Responsibilities for the Data Architect: Define conceptual, logical and physical data models for master data domains, ensuring alignment with enterprise architecture standards Design and implement scalable Master Data Management frameworks and integration patterns Architect data ingestion pipelines and ETL processes integrating multiple source systems into an MDM hub Define matching, merging and survivorship rules to ensure trusted master data Establish data quality frameworks including validation and governance controls Ensure alignment with security, compliance and enterprise data governance standards Collaborate with business and technology stakeholders to align master data architecture with operational and analytical use cases Essential Skills for the Data Architect: Strong hands-on experience with Informatica MDM Experience with Informatica CDQ and enterprise data quality tooling Strong background in data modelling and data architecture principles Experience designing and delivering Master Data Management solutions in complex environments Strong understanding of data governance, lineage and lifecycle management Desirable Skills for the Data Architect: Experience within insurance or regulated financial services environments Experience contributing to large-scale data transformation programmes If you are an experienced Data Architect with strong MDM expertise looking to drive enterprise data transformation initiatives, please apply in the immediate instance. Data Architect, MDM Architect
Senior GCP Apigee Engineer Salary: up to £90,000 + Bonus + Benefits Location: Hybrid - 2 days per week onsite (Bristol, Leeds, Halifax, Manchester or Edinburgh) Working Hours: 40 hours per week A globally established organisation is seeking a Senior GCP Apigee Engineer to join a Public Cloud Platform function, delivering secure, scalable and compliant API solutions across enterprise environments. This is a senior, hands-on engineering role focused on modernising API gateways, automating deployments and enabling cloud-native integration across Google Cloud. The Senior GCP Apigee Engineer role is suited to an experienced Apigee specialist who combines deep API management expertise with strong DevOps capability, enjoys working within cross-disciplinary feature teams and can contribute to scalable cloud product delivery. Responsibilities for the Senior GCP Apigee Engineer: Design, build and manage API proxies, policies and configurations within Google Apigee Develop and maintain CI/CD pipelines supporting full API lifecycle management Implement and enforce API security policies including OAuth, JWT, mTLS, rate limiting and threat protection Automate Apigee deployments and configurations using Infrastructure as Code principles Integrate Apigee with Google Cloud services including Cloud Functions, Pub/Sub and BigQuery Develop automation scripts and operational workflows using Python Manage API analytics, monitoring and logging to ensure performance and compliance Enforce governance standards and organisation policies across API ecosystems Collaborate with DevOps teams to deploy containerised components within GKE environments Optimise API performance using caching, quota management and intelligent traffic routing Support migration of legacy APIs into modernised Apigee frameworks Standardise reusable templates and patterns for enterprise API development Essential Skills for the Senior GCP Apigee Engineer: Strong hands-on experience with Google Apigee API Management Proven experience implementing CI/CD pipelines for API deployments Strong Python scripting capability for automation Experience with Jenkins, GitHub Actions or similar pipeline tooling Knowledge of container orchestration within Google Kubernetes Engine Understanding of API security standards and policy-as-code frameworks Experience working within enterprise cloud environments GCP certification, ideally Apigee Certified API Engineer Desirable Skills for the Senior GCP Apigee Engineer: Experience with Terraform or Terraform Cloud for Infrastructure as Code Familiarity with API development platforms Strong communication and stakeholder engagement skills Experience operating as a senior SME within cloud engineering teams If you are an experienced GCP Apigee Engineer with strong API architecture and automation expertise, looking to lead scalable enterprise API initiatives within a cloud-first environment, please apply in the immediate instance.
03/03/2026
Full time
Senior GCP Apigee Engineer Salary: up to £90,000 + Bonus + Benefits Location: Hybrid - 2 days per week onsite (Bristol, Leeds, Halifax, Manchester or Edinburgh) Working Hours: 40 hours per week A globally established organisation is seeking a Senior GCP Apigee Engineer to join a Public Cloud Platform function, delivering secure, scalable and compliant API solutions across enterprise environments. This is a senior, hands-on engineering role focused on modernising API gateways, automating deployments and enabling cloud-native integration across Google Cloud. The Senior GCP Apigee Engineer role is suited to an experienced Apigee specialist who combines deep API management expertise with strong DevOps capability, enjoys working within cross-disciplinary feature teams and can contribute to scalable cloud product delivery. Responsibilities for the Senior GCP Apigee Engineer: Design, build and manage API proxies, policies and configurations within Google Apigee Develop and maintain CI/CD pipelines supporting full API lifecycle management Implement and enforce API security policies including OAuth, JWT, mTLS, rate limiting and threat protection Automate Apigee deployments and configurations using Infrastructure as Code principles Integrate Apigee with Google Cloud services including Cloud Functions, Pub/Sub and BigQuery Develop automation scripts and operational workflows using Python Manage API analytics, monitoring and logging to ensure performance and compliance Enforce governance standards and organisation policies across API ecosystems Collaborate with DevOps teams to deploy containerised components within GKE environments Optimise API performance using caching, quota management and intelligent traffic routing Support migration of legacy APIs into modernised Apigee frameworks Standardise reusable templates and patterns for enterprise API development Essential Skills for the Senior GCP Apigee Engineer: Strong hands-on experience with Google Apigee API Management Proven experience implementing CI/CD pipelines for API deployments Strong Python scripting capability for automation Experience with Jenkins, GitHub Actions or similar pipeline tooling Knowledge of container orchestration within Google Kubernetes Engine Understanding of API security standards and policy-as-code frameworks Experience working within enterprise cloud environments GCP certification, ideally Apigee Certified API Engineer Desirable Skills for the Senior GCP Apigee Engineer: Experience with Terraform or Terraform Cloud for Infrastructure as Code Familiarity with API development platforms Strong communication and stakeholder engagement skills Experience operating as a senior SME within cloud engineering teams If you are an experienced GCP Apigee Engineer with strong API architecture and automation expertise, looking to lead scalable enterprise API initiatives within a cloud-first environment, please apply in the immediate instance.
Job : 1st / 2nd Line Support Engineer Working hours : 9:00am to 6:00pm Monday to Thursday and 9:00am to 5:00pm on Fridays Location : Central London - Fully onsite Salary : up to £30,000 We are partnering with a growing Managed Service Provider that are on the lookout for a 1st / 2nd Line Support Engineer to help support their clients' IT environments, while also getting the opportunity to work on exciting projects. The 1st / 2nd Line Support Engineer will be joining a supportive and collaborative team. The company will invests heavily in the 1st / 2nd Line Support Engineer's growth, covering certifications and giving exposure to a wide range of technologies to broaden their skills. It is also a very social environment, with team events and a strong culture of working together. Essential skills - 1st / 2nd Line Support Engineer: Windows 10 and 11 Networking Office 365 SharePoint Teams Experience working with a ticketing system Desirable skills - 1st / 2nd Line Support Engineer: Azure Apple MDM Windows Server Google Workspace If you are interested in joining a supportive and growing organisation then please apply with a copy of your most up to date CV.
03/10/2025
Full time
Job : 1st / 2nd Line Support Engineer Working hours : 9:00am to 6:00pm Monday to Thursday and 9:00am to 5:00pm on Fridays Location : Central London - Fully onsite Salary : up to £30,000 We are partnering with a growing Managed Service Provider that are on the lookout for a 1st / 2nd Line Support Engineer to help support their clients' IT environments, while also getting the opportunity to work on exciting projects. The 1st / 2nd Line Support Engineer will be joining a supportive and collaborative team. The company will invests heavily in the 1st / 2nd Line Support Engineer's growth, covering certifications and giving exposure to a wide range of technologies to broaden their skills. It is also a very social environment, with team events and a strong culture of working together. Essential skills - 1st / 2nd Line Support Engineer: Windows 10 and 11 Networking Office 365 SharePoint Teams Experience working with a ticketing system Desirable skills - 1st / 2nd Line Support Engineer: Azure Apple MDM Windows Server Google Workspace If you are interested in joining a supportive and growing organisation then please apply with a copy of your most up to date CV.
Salesforce Developer - Contract - Inside IR35 - Remote Rate : Up to £500 per day IR35 : Inside Duration : 6 months Location : Remote The role :A leading Government organisation are seeking a Senior Salesforce Developer, with demonstrable experience of building effective business solutions using Salesforce technologies.This is an initial 6-month contract, remote and Inside IR35. Skill & Experience Requirements: Experience in Salesforce development, including Apex, Visualforce, and Lightning Components. Salesforce Developer certification (e.g., Salesforce Certified Platform Developer I/II) is highly desirable. Hands-on experience with Salesforce integrations using REST/SOAP APIs, web services, and middleware tools. Demonstrable experience of building effective business solutions using Salesforce technologies Ability to communicate effectively with both technical and non-technical colleagues. Experience working in agile delivery teams. Practical understanding of implementing security and privacy by design Awareness of ITIL disciplines that govern the running of live services. If you are interested and available, please apply in the first instance and you will be contacted to discuss the position further.
03/10/2025
Full time
Salesforce Developer - Contract - Inside IR35 - Remote Rate : Up to £500 per day IR35 : Inside Duration : 6 months Location : Remote The role :A leading Government organisation are seeking a Senior Salesforce Developer, with demonstrable experience of building effective business solutions using Salesforce technologies.This is an initial 6-month contract, remote and Inside IR35. Skill & Experience Requirements: Experience in Salesforce development, including Apex, Visualforce, and Lightning Components. Salesforce Developer certification (e.g., Salesforce Certified Platform Developer I/II) is highly desirable. Hands-on experience with Salesforce integrations using REST/SOAP APIs, web services, and middleware tools. Demonstrable experience of building effective business solutions using Salesforce technologies Ability to communicate effectively with both technical and non-technical colleagues. Experience working in agile delivery teams. Practical understanding of implementing security and privacy by design Awareness of ITIL disciplines that govern the running of live services. If you are interested and available, please apply in the first instance and you will be contacted to discuss the position further.
Job Title: Big Data Architect Salary: £100,000 to £110,000 + Bonus + Benefits Location: East London - 3 days onsite/2 days onsite Are you looking to work as a Big Data Architect for a global organisation? I am currently working with a leading organisation in the telecommunications industry who are looking to expand their Data team and we are looking to hire a Big Data Architect. As the Big Data Architect you will be a part of a very established team and you will be working with exciting projects along the UK, Europe and Asia with the latest technologies as the organisation goes through a exciting digital transformation. You will be providing technical leadership in data architecture and designing end to end solutions for the Azure Synapse Data Lake, ensuring that the implementation of the big data solutions are in-line with the industry's best practices and standards. Within this role, you will be collaborating with a wide range of stakeholders to identify customer needs and ensure that the right resource is selected. This is a permanent salaried position paying up to £110,000, hybrid working model with 3 times per week in the office in East London. Experience required - Big Data Architect: Strong previous experience as a Big Data Architect Azure - Azure Data Lake/Azure Data Bricks/Azure Synapse Experience with Hadoop/Python/Pyspark/Databricks Experience with Data migration in Azure cloud Exceptional communication skills If you have experience with Real Time data analytics or Data Mesh, that would be beneficial This is a great opportunity for Big Data Architect professionals to join an organisation that can provide further exposure to new and exciting technologies. Our client are looking to hire ASAP so please do not hesitate to apply with a copy of your most up to date CV! Data Architect/Data/Azure - Azure Data Lake/Azure Data Bricks/Azure Synapse/Hadoop/Python/Pyspark/Databricks/Telco/Telecomms/Retail/E-commerce
17/08/2023
Full time
Job Title: Big Data Architect Salary: £100,000 to £110,000 + Bonus + Benefits Location: East London - 3 days onsite/2 days onsite Are you looking to work as a Big Data Architect for a global organisation? I am currently working with a leading organisation in the telecommunications industry who are looking to expand their Data team and we are looking to hire a Big Data Architect. As the Big Data Architect you will be a part of a very established team and you will be working with exciting projects along the UK, Europe and Asia with the latest technologies as the organisation goes through a exciting digital transformation. You will be providing technical leadership in data architecture and designing end to end solutions for the Azure Synapse Data Lake, ensuring that the implementation of the big data solutions are in-line with the industry's best practices and standards. Within this role, you will be collaborating with a wide range of stakeholders to identify customer needs and ensure that the right resource is selected. This is a permanent salaried position paying up to £110,000, hybrid working model with 3 times per week in the office in East London. Experience required - Big Data Architect: Strong previous experience as a Big Data Architect Azure - Azure Data Lake/Azure Data Bricks/Azure Synapse Experience with Hadoop/Python/Pyspark/Databricks Experience with Data migration in Azure cloud Exceptional communication skills If you have experience with Real Time data analytics or Data Mesh, that would be beneficial This is a great opportunity for Big Data Architect professionals to join an organisation that can provide further exposure to new and exciting technologies. Our client are looking to hire ASAP so please do not hesitate to apply with a copy of your most up to date CV! Data Architect/Data/Azure - Azure Data Lake/Azure Data Bricks/Azure Synapse/Hadoop/Python/Pyspark/Databricks/Telco/Telecomms/Retail/E-commerce
