Senior Infrastructure & Network Systems Engineer Galldris Group Location: Head Office, Enfield, EN3 7FJ An exciting opportunity has arisen for a Senior Infrastructure & Network Systems Engineer to join our Head Office team. The purpose of the role is to secure design and operation of hybrid on-prem and cloud infrastructure. Front-facing technical engineer supporting internal work collogues, management, and remote office. Key Responsibilities Infrastructure & Platforms Linux and Windows Server 2016+ administration Proxmox virtualization Reverse Proxy Web Server Management Application Proxy Gateway Cloud and hybrid server environments Knowledgeable ITIL frameworks, MDM platforms Microsoft & Web Services Microsoft 365 and Exchange (Online / Hybrid) IIS and secure web server hosting Identity integration (Knox, Intune, Azure AD / Entra ID) Storage & Data TrueNAS administration File services (SMB, NFS, iSCSI) Backup and recovery Veeam systems, Identity, Certificates & Policy RADIUS authentication and policy generation PKI and server certificate management Cross-platform identity integration Networking Network design and segmentation Cisco and Ubiquiti hardware VPNs, secure connectivity, and access control Kubernetes & Containers Kubernetes cluster operations Persistent storage integration Certificate-based authentication Cybersecurity Knowledge Zero Trust and defense-in-depth principles Network and identity security, Server and platform hardening Monitoring, logging, and incident response ISO 27001 aligned practices Certifications & Skills CompTIA Network+ Vendor-agnostic networking Linux, Windows, M365, Cloud Customer-facing engineering (CE+) Interested applicants must be eligible to work legally in the UK. Should you feel you have what it takes to be successful in this role, then we would love to hear from you. Employee referral scheme - refer a friend or family member to work for Galldris. Galldris is an Equal Opportunities employer and does not discriminate against any protected characteristic. Please note: We are not using recruitment agencies for this role. In the event of speculative CV submissions, no fees will be applicable.
May 16, 2026
Full time
Senior Infrastructure & Network Systems Engineer Galldris Group Location: Head Office, Enfield, EN3 7FJ An exciting opportunity has arisen for a Senior Infrastructure & Network Systems Engineer to join our Head Office team. The purpose of the role is to secure design and operation of hybrid on-prem and cloud infrastructure. Front-facing technical engineer supporting internal work collogues, management, and remote office. Key Responsibilities Infrastructure & Platforms Linux and Windows Server 2016+ administration Proxmox virtualization Reverse Proxy Web Server Management Application Proxy Gateway Cloud and hybrid server environments Knowledgeable ITIL frameworks, MDM platforms Microsoft & Web Services Microsoft 365 and Exchange (Online / Hybrid) IIS and secure web server hosting Identity integration (Knox, Intune, Azure AD / Entra ID) Storage & Data TrueNAS administration File services (SMB, NFS, iSCSI) Backup and recovery Veeam systems, Identity, Certificates & Policy RADIUS authentication and policy generation PKI and server certificate management Cross-platform identity integration Networking Network design and segmentation Cisco and Ubiquiti hardware VPNs, secure connectivity, and access control Kubernetes & Containers Kubernetes cluster operations Persistent storage integration Certificate-based authentication Cybersecurity Knowledge Zero Trust and defense-in-depth principles Network and identity security, Server and platform hardening Monitoring, logging, and incident response ISO 27001 aligned practices Certifications & Skills CompTIA Network+ Vendor-agnostic networking Linux, Windows, M365, Cloud Customer-facing engineering (CE+) Interested applicants must be eligible to work legally in the UK. Should you feel you have what it takes to be successful in this role, then we would love to hear from you. Employee referral scheme - refer a friend or family member to work for Galldris. Galldris is an Equal Opportunities employer and does not discriminate against any protected characteristic. Please note: We are not using recruitment agencies for this role. In the event of speculative CV submissions, no fees will be applicable.
Role: Data Solutions Architect (SC Cleared) Contract: 3-6 months initial Day rate: 500pd- 550pd (Inside IR35) Location: London (Hybrid working) We are working with a large-scale consultancy who require a Data Solutions Architect to work on an Azure Data project. The role will require someone who is SC Cleared and will be hybrid working, based in London. Responsibilities: Design secure, scalable data solutions across application, data, integration, infrastructure and security domains. Architect cloud data platforms and analytics stacks (e.g. Azure Databricks, Microsoft Fabric) including distributed processing (Spark). Translate functional and non-functional requirements (security, performance, availability, resilience) into resilient target architectures. Define current-state, target-state and transition architectures, including phased roadmaps and dependency-aware migration plans. Apply platform engineering practices (IaC, CI/CD, DevOps) aligned to landing-zone/enterprise-scale guardrails (e.g. Azure CAF). Design modern enterprise integration patterns (APIs, event-driven and service-based approaches). Produce clear, auditable artefacts for governance and assurance (HLD/LLD, ADRs, options appraisals). Act as design authority lead design reviews/ARBs, communicate trade-offs, and support build-phase conformance. Support delivery reporting/RAID, knowledge transfer, capability uplift, and exit/transition planning with complete handover documentation. Essential requirements Active SC clearance and experience working in regulated environments. Strong solution architecture background across data, cloud, security and integration. Hands-on knowledge of Azure data services, Databricks/Fabric, and modern analytics patterns. Ability to create and defend architecture artefacts and influence senior technical stakeholders. Please note, to be successful for the role and due to time frames, you must hold active SC Clearance. If you are interested in the role provide an up to date CV for consideration and apply now!
May 16, 2026
Contractor
Role: Data Solutions Architect (SC Cleared) Contract: 3-6 months initial Day rate: 500pd- 550pd (Inside IR35) Location: London (Hybrid working) We are working with a large-scale consultancy who require a Data Solutions Architect to work on an Azure Data project. The role will require someone who is SC Cleared and will be hybrid working, based in London. Responsibilities: Design secure, scalable data solutions across application, data, integration, infrastructure and security domains. Architect cloud data platforms and analytics stacks (e.g. Azure Databricks, Microsoft Fabric) including distributed processing (Spark). Translate functional and non-functional requirements (security, performance, availability, resilience) into resilient target architectures. Define current-state, target-state and transition architectures, including phased roadmaps and dependency-aware migration plans. Apply platform engineering practices (IaC, CI/CD, DevOps) aligned to landing-zone/enterprise-scale guardrails (e.g. Azure CAF). Design modern enterprise integration patterns (APIs, event-driven and service-based approaches). Produce clear, auditable artefacts for governance and assurance (HLD/LLD, ADRs, options appraisals). Act as design authority lead design reviews/ARBs, communicate trade-offs, and support build-phase conformance. Support delivery reporting/RAID, knowledge transfer, capability uplift, and exit/transition planning with complete handover documentation. Essential requirements Active SC clearance and experience working in regulated environments. Strong solution architecture background across data, cloud, security and integration. Hands-on knowledge of Azure data services, Databricks/Fabric, and modern analytics patterns. Ability to create and defend architecture artefacts and influence senior technical stakeholders. Please note, to be successful for the role and due to time frames, you must hold active SC Clearance. If you are interested in the role provide an up to date CV for consideration and apply now!
Operational IT Engineer - 35,000/ 37,800 per annum - Hull Principal IT are seeking an Operational Technology Engineer to join a growing Group OT team within a fast-paced food manufacturing environment. This is a development-focused opportunity, ideal for someone looking to build a career in OT, industrial systems, and production technology. Working closely with the OT Lead, you will provide hands-on support across factory sites, ensuring operational systems remain reliable, secure, and aligned with business needs. This role offers excellent exposure to industrial infrastructure, automation interfaces, and real-world engineering environments. Key Responsibilities Support the monitoring and maintenance of OT systems to ensure high availability and performance across production environments Assist with routine system health checks, identifying and escalating issues where appropriate Provide first-line support for OT-related incidents and service requests Troubleshoot hardware and infrastructure issues, including industrial PCs, network switches, and factory-connected devices Assist with system patching, updates, and maintenance activities under guidance Support installation, configuration, and replacement of OT hardware and software Participate in OT-related projects such as system upgrades, rollouts, and integration tasks Work alongside third-party vendors during maintenance and installation activities Maintain accurate documentation including asset inventories, network diagrams, and patch records Support backup, recovery, and disaster recovery testing activities Collaborate with IT, engineering, and production teams to ensure operational alignment Develop knowledge of OT systems, cybersecurity practices, and industrial technologies Skills & Experience Strong interest in Operational Technology, industrial systems, or IT infrastructure Understanding of IT principles (through education, work experience, or self-study) Hands-on interest in hardware such as PCs, networking equipment, or industrial devices Operating systems : Windows Server, Linux Cloud platforms : Microsoft 365, Azure, sometimes AWS Networking basics : DNS, DHCP, VPNs Active Directory / identity management Virtualization : VMware or Hyper-V Proactive attitude with a willingness to learn and develop new skills Full UK driving licence and willingness to travel between sites What's on Offer Structured training and development within Operational Technology Exposure to industrial systems, automation, and production environments Opportunity to progress within a growing OT function The Package: If successful our client is offering a salary between 35,000 - 37,800 per annum, favorable holiday allowance, company contributed pension scheme, development opportunities, plus many more. How to Apply : If you are interested in hearing more about this operational IT engineer vacancy or interested in applying for the role please email me at or contact Principal IT Directly on LinkedIn. INDGH
May 16, 2026
Full time
Operational IT Engineer - 35,000/ 37,800 per annum - Hull Principal IT are seeking an Operational Technology Engineer to join a growing Group OT team within a fast-paced food manufacturing environment. This is a development-focused opportunity, ideal for someone looking to build a career in OT, industrial systems, and production technology. Working closely with the OT Lead, you will provide hands-on support across factory sites, ensuring operational systems remain reliable, secure, and aligned with business needs. This role offers excellent exposure to industrial infrastructure, automation interfaces, and real-world engineering environments. Key Responsibilities Support the monitoring and maintenance of OT systems to ensure high availability and performance across production environments Assist with routine system health checks, identifying and escalating issues where appropriate Provide first-line support for OT-related incidents and service requests Troubleshoot hardware and infrastructure issues, including industrial PCs, network switches, and factory-connected devices Assist with system patching, updates, and maintenance activities under guidance Support installation, configuration, and replacement of OT hardware and software Participate in OT-related projects such as system upgrades, rollouts, and integration tasks Work alongside third-party vendors during maintenance and installation activities Maintain accurate documentation including asset inventories, network diagrams, and patch records Support backup, recovery, and disaster recovery testing activities Collaborate with IT, engineering, and production teams to ensure operational alignment Develop knowledge of OT systems, cybersecurity practices, and industrial technologies Skills & Experience Strong interest in Operational Technology, industrial systems, or IT infrastructure Understanding of IT principles (through education, work experience, or self-study) Hands-on interest in hardware such as PCs, networking equipment, or industrial devices Operating systems : Windows Server, Linux Cloud platforms : Microsoft 365, Azure, sometimes AWS Networking basics : DNS, DHCP, VPNs Active Directory / identity management Virtualization : VMware or Hyper-V Proactive attitude with a willingness to learn and develop new skills Full UK driving licence and willingness to travel between sites What's on Offer Structured training and development within Operational Technology Exposure to industrial systems, automation, and production environments Opportunity to progress within a growing OT function The Package: If successful our client is offering a salary between 35,000 - 37,800 per annum, favorable holiday allowance, company contributed pension scheme, development opportunities, plus many more. How to Apply : If you are interested in hearing more about this operational IT engineer vacancy or interested in applying for the role please email me at or contact Principal IT Directly on LinkedIn. INDGH
Machine Learning Engineer - London Join the analytics team as a Machine Learning Engineer in the Technology industry, where you'll design and implement innovative machine learning solutions. This permanent role in London offers an exciting opportunity to work on impactful projects in a forward thinking environment. Client Details Machine Learning Engineer - London This opportunity is with a medium-sized software development organisation. The company is committed to utilising advanced analytics and machine learning to enhance its services and deliver value to its clients. Description Machine Learning Engineer - London This role focuses on training custom models, building robust ML pipelines, and deploying systems at scale from research experimentation through to monitored production services. Design, train, and optimise machine learning models for audio processing tasks such as speaker diarization, automatic speech recognition (ASR), and voice activity detection. Build and maintain training and inference pipelines using PyTorch, and related ML frameworks Source, curate, and prepare training datasets; implement preprocessing, augmentation, and validation workflows. Run structured experiments, evaluate model performance, and iterate based on measurable results Build, deploy, and operate end-to-end MLOps pipelines, including experiment tracking, model versioning, and production monitoring. Package and deploy models using Docker and cloud infrastructure, with a focus on reliability and scalability Design and deploy agent-based AI systems that can execute multi-step workflows and integrate with external tools. Build Model Context Protocol (MCP) servers to enable standardised integration between models, APIs, and data sources. Evaluate and integrate large language models into production systems where they add clear value. Collaborate with product and business teams to translate requirements into practical ML solutions. Profile Machine Learning Engineer - London A successful Machine Learning Engineer should have: Strong foundation in machine learning, deep learning, and optimisation Hands-on experience training, evaluating, and deploying ML models in real-world systems Proficiency with PyTorch (preferred) or TensorFlow; familiarity with the Hugging Face ecosystem Experience with audio or speech models and frameworks. Experience building and maintaining end-to-end ML pipelines and MLOps tooling (e.g. MLflow, Weights & Biases, DVC, or similar). Strong Python skills; experience with Docker, CI/CD, and cloud platforms (Azure preferred) Practical experience designing agentic AI systems and integrating models with external services Comfortable owning the full ML lifecycle, from data preparation to production deployment Clear communicator who can work effectively across technical and non-technical teams Job Offer Machine Learning Engineer - London Competitive salary ranging from 75,000 to 95,000 per annum. Comprehensive benefits package to support your well-being. Opportunity to work in a leading organisation within the insurance industry. Collaborative and innovative work environment in London. Chance to work on impactful projects using the latest technologies. If you're a passionate Machine Learning Engineer looking to make a difference in the Technology sector, we encourage you to apply and be part of this exciting opportunity in London
May 16, 2026
Full time
Machine Learning Engineer - London Join the analytics team as a Machine Learning Engineer in the Technology industry, where you'll design and implement innovative machine learning solutions. This permanent role in London offers an exciting opportunity to work on impactful projects in a forward thinking environment. Client Details Machine Learning Engineer - London This opportunity is with a medium-sized software development organisation. The company is committed to utilising advanced analytics and machine learning to enhance its services and deliver value to its clients. Description Machine Learning Engineer - London This role focuses on training custom models, building robust ML pipelines, and deploying systems at scale from research experimentation through to monitored production services. Design, train, and optimise machine learning models for audio processing tasks such as speaker diarization, automatic speech recognition (ASR), and voice activity detection. Build and maintain training and inference pipelines using PyTorch, and related ML frameworks Source, curate, and prepare training datasets; implement preprocessing, augmentation, and validation workflows. Run structured experiments, evaluate model performance, and iterate based on measurable results Build, deploy, and operate end-to-end MLOps pipelines, including experiment tracking, model versioning, and production monitoring. Package and deploy models using Docker and cloud infrastructure, with a focus on reliability and scalability Design and deploy agent-based AI systems that can execute multi-step workflows and integrate with external tools. Build Model Context Protocol (MCP) servers to enable standardised integration between models, APIs, and data sources. Evaluate and integrate large language models into production systems where they add clear value. Collaborate with product and business teams to translate requirements into practical ML solutions. Profile Machine Learning Engineer - London A successful Machine Learning Engineer should have: Strong foundation in machine learning, deep learning, and optimisation Hands-on experience training, evaluating, and deploying ML models in real-world systems Proficiency with PyTorch (preferred) or TensorFlow; familiarity with the Hugging Face ecosystem Experience with audio or speech models and frameworks. Experience building and maintaining end-to-end ML pipelines and MLOps tooling (e.g. MLflow, Weights & Biases, DVC, or similar). Strong Python skills; experience with Docker, CI/CD, and cloud platforms (Azure preferred) Practical experience designing agentic AI systems and integrating models with external services Comfortable owning the full ML lifecycle, from data preparation to production deployment Clear communicator who can work effectively across technical and non-technical teams Job Offer Machine Learning Engineer - London Competitive salary ranging from 75,000 to 95,000 per annum. Comprehensive benefits package to support your well-being. Opportunity to work in a leading organisation within the insurance industry. Collaborative and innovative work environment in London. Chance to work on impactful projects using the latest technologies. If you're a passionate Machine Learning Engineer looking to make a difference in the Technology sector, we encourage you to apply and be part of this exciting opportunity in London
Machine Learning Engineer - Contract Location: Nottingham, UK (Hybrid) Salary: £500 £600 p/d (depending on experience) About the Role We are seeking a skilled and motivated Machine Learning Engineer to join our growing team in Nottingham. You will be responsible for designing, building, and deploying scalable machine learning models that drive data-driven decision-making across the business. This role bridges the gap between data science and software engineering, turning prototypes into production-ready systems. Key Responsibilities Design, develop, and deploy machine learning models and pipelines in production environments Collaborate with data scientists, software engineers, and stakeholders to translate business requirements into ML solutions Optimize model performance, scalability, and reliability Build and maintain data pipelines and feature engineering workflows Monitor and retrain models to ensure continued performance over time Implement best practices for version control, testing, and CI/CD in ML systems Stay up to date with the latest advancements in machine learning and AI technologies Required Skills & Experience Strong programming skills in Python (e.g., TensorFlow, PyTorch, Scikit-learn) Experience deploying ML models using cloud platforms (AWS, Azure, or GCP) Solid understanding of machine learning algorithms, data structures, and software engineering principles Experience with data pipelines, APIs, and microservices architecture Familiarity with containerization tools such as Docker and orchestration tools like Kubernetes Strong problem-solving skills and attention to detail Desirable Skills Experience with big data technologies (e.g., Spark, Hadoop) Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow) Experience working with NLP, computer vision, or recommendation systems Understanding of data governance and security best practices Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent experience) What We Offer Competitive rate Flexible working arrangements (hybrid/remote options) Collaborative and innovative work environment Access to cutting-edge tools and technologies How to Apply Please submit your CV and a brief cover letter outlining your experience and interest in the role.
May 16, 2026
Contractor
Machine Learning Engineer - Contract Location: Nottingham, UK (Hybrid) Salary: £500 £600 p/d (depending on experience) About the Role We are seeking a skilled and motivated Machine Learning Engineer to join our growing team in Nottingham. You will be responsible for designing, building, and deploying scalable machine learning models that drive data-driven decision-making across the business. This role bridges the gap between data science and software engineering, turning prototypes into production-ready systems. Key Responsibilities Design, develop, and deploy machine learning models and pipelines in production environments Collaborate with data scientists, software engineers, and stakeholders to translate business requirements into ML solutions Optimize model performance, scalability, and reliability Build and maintain data pipelines and feature engineering workflows Monitor and retrain models to ensure continued performance over time Implement best practices for version control, testing, and CI/CD in ML systems Stay up to date with the latest advancements in machine learning and AI technologies Required Skills & Experience Strong programming skills in Python (e.g., TensorFlow, PyTorch, Scikit-learn) Experience deploying ML models using cloud platforms (AWS, Azure, or GCP) Solid understanding of machine learning algorithms, data structures, and software engineering principles Experience with data pipelines, APIs, and microservices architecture Familiarity with containerization tools such as Docker and orchestration tools like Kubernetes Strong problem-solving skills and attention to detail Desirable Skills Experience with big data technologies (e.g., Spark, Hadoop) Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow) Experience working with NLP, computer vision, or recommendation systems Understanding of data governance and security best practices Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent experience) What We Offer Competitive rate Flexible working arrangements (hybrid/remote options) Collaborative and innovative work environment Access to cutting-edge tools and technologies How to Apply Please submit your CV and a brief cover letter outlining your experience and interest in the role.
Principal Cloud Engineer - Azure Manchester (Hybrid - 1 day per week on-site) Salary up to 78,000 + Bonus We are supporting a UK-based organisation undertaking a significant, multi-year technology transformation. As part of this, they are investing heavily in their cloud platform and are seeking a Principal Cloud Engineer to play a key role in shaping and delivering their Azure environment. This position is suited to a hands-on engineer who enjoys building and improving platforms, rather than operating purely at an architectural or strategic level. Role Overview: The successful candidate will be responsible for evolving an existing Azure environment from an early-stage setup into a mature, secure, and scalable cloud platform. Working closely with architecture and infrastructure teams, you will help establish best practice, implement standards, and contribute directly to the ongoing transition from on-premise infrastructure to cloud. Key Responsibilities: Mature and enhance Azure landing zones in line with Cloud Adoption Framework (CAF) principles Implement governance, policy, and identity standards (Entra ID) Develop core platform capabilities, including: API Management (APIM) and Web Application Firewall (WAF) Logging, monitoring, and observability Introduce and scale Infrastructure as Code (Terraform) across the environment Contribute to the design and implementation of business continuity and disaster recovery strategies Support the migration of on-premise data platforms into Microsoft Fabric Work collaboratively with architects and engineering teams to embed best practices and improve overall cloud capability Environment: Early-stage Azure environment with low current cloud maturity Predominantly on-premise infrastructure transitioning to cloud Developing capabilities across governance, security, FinOps, and platform engineering Opportunity to influence direction and establish standards within a growing cloud function Candidate Profile: Strong hands-on experience in Azure infrastructure and platform engineering Proven track record of working with: Azure landing zones and governance frameworks Infrastructure as Code (Terraform preferred) Identity and access management (Entra ID / Azure AD) Monitoring and observability tooling Experience working in environments undergoing cloud transformation Ability to operate across engineering and architecture, with a focus on practical implementation Strong communication skills and a collaborative approach Additional Information: This is not a purely architectural or strategy-led role; a strong emphasis is placed on hands-on engineering capability The organisation offers a collaborative environment with significant investment in cloud and long-term technology transformation Hybrid working model with a requirement of one day per week on-site in Manchester Call Experis IT on (phone number removed) for more Information
May 16, 2026
Full time
Principal Cloud Engineer - Azure Manchester (Hybrid - 1 day per week on-site) Salary up to 78,000 + Bonus We are supporting a UK-based organisation undertaking a significant, multi-year technology transformation. As part of this, they are investing heavily in their cloud platform and are seeking a Principal Cloud Engineer to play a key role in shaping and delivering their Azure environment. This position is suited to a hands-on engineer who enjoys building and improving platforms, rather than operating purely at an architectural or strategic level. Role Overview: The successful candidate will be responsible for evolving an existing Azure environment from an early-stage setup into a mature, secure, and scalable cloud platform. Working closely with architecture and infrastructure teams, you will help establish best practice, implement standards, and contribute directly to the ongoing transition from on-premise infrastructure to cloud. Key Responsibilities: Mature and enhance Azure landing zones in line with Cloud Adoption Framework (CAF) principles Implement governance, policy, and identity standards (Entra ID) Develop core platform capabilities, including: API Management (APIM) and Web Application Firewall (WAF) Logging, monitoring, and observability Introduce and scale Infrastructure as Code (Terraform) across the environment Contribute to the design and implementation of business continuity and disaster recovery strategies Support the migration of on-premise data platforms into Microsoft Fabric Work collaboratively with architects and engineering teams to embed best practices and improve overall cloud capability Environment: Early-stage Azure environment with low current cloud maturity Predominantly on-premise infrastructure transitioning to cloud Developing capabilities across governance, security, FinOps, and platform engineering Opportunity to influence direction and establish standards within a growing cloud function Candidate Profile: Strong hands-on experience in Azure infrastructure and platform engineering Proven track record of working with: Azure landing zones and governance frameworks Infrastructure as Code (Terraform preferred) Identity and access management (Entra ID / Azure AD) Monitoring and observability tooling Experience working in environments undergoing cloud transformation Ability to operate across engineering and architecture, with a focus on practical implementation Strong communication skills and a collaborative approach Additional Information: This is not a purely architectural or strategy-led role; a strong emphasis is placed on hands-on engineering capability The organisation offers a collaborative environment with significant investment in cloud and long-term technology transformation Hybrid working model with a requirement of one day per week on-site in Manchester Call Experis IT on (phone number removed) for more Information
ICT Systems Engineer JOB DESCRIPTION AND RESPONSIBILITIES: As directed by the Technical Directors Install, configure and support all company supported Operating Systems, Software and Hardware. Attend client sites to perform various aspects of computer services. Always seen to be helpful when dealing with clients, and display professionalism and patience when offering advice and support Provide telephone, remote and on-site technical support. To treat every customer's setup as if it were your own and provide them with the best possible support we can offer, putting the customer first in every instance. Installing new software (Applications, VMWare, Veeam, Microsoft Server platforms). Installing new hardware (servers, printers, computer workstations, laptops, switches, firewalls, network infrastructure etc). Providing general administration of customers systems Overseeing security of all customer's systems. Diagnosing and resolving network faults. Provide limited training for customers on new equipment. Planning future improvements for customer's sites and setups. Provide detailed and comprehensive job sheet recording in time management software. Comply with company procedures. Comply with company health & safety regulations. Produce/update detailed network documentation of any installations undertaken ICT Systems Engineer PROFILE: Experience: Experience of Windows Server 2016/19/22/25, Experience of all Windows Operating Systems through to Windows 11. Experience with Microsoft 365 Suite and Azure/AWS/Google. Experience with managing and troubleshooting backup solutions Experience of Apple and Linux. Experience of WiFi networking. Experience of VOIP telephone systems, particularly 3CX. Hardware installation, configuration and support. WAN/LAN/VLAN installation and configuration. TCP/IP and other protocol configuration. Internet and security technologies. Systems and database management. Proven IT Support / Systems Administration skills. Qualification and skills: Excellent communication skills. Strong organisational skills with a methodical approach. Must be able to take initiative and solve problems on your own (when appropriate). Good all-round IT literacy. Good time management and the ability to complete work in a timely manner. Ideally you must have at least 5 GSCE's (C/4 and above) - Maths and English are a must. Personal attributes: Approachable and friendly. Tidy and presentable. Takes ownership and responsibility for self and others. Attention to detail. Ability to effectively prioritise customer requirements. Good communicator. Methodical approach required with a clear audit trail. Team player. ADDITIONAL REQUIREMENTS: A valid UK driving licence, be willing to use your own vehicle and insured for Business use SALARY AND BENEFITS: Based on 37.5 hour week - Monday to Friday 8:30am to 5:00pm £20,000 - £35,000 - basic salary depending on experience/qualifications, plus: Use of corporate membership to leisure and gym at Exeter Golf and Country Club. Part of Technical commission scheme. Staff share scheme and dividends Team events and regular trips Training and Microsoft exams Overtime, including weekend work and out of hours calls. Company laptop Pension
May 16, 2026
Full time
ICT Systems Engineer JOB DESCRIPTION AND RESPONSIBILITIES: As directed by the Technical Directors Install, configure and support all company supported Operating Systems, Software and Hardware. Attend client sites to perform various aspects of computer services. Always seen to be helpful when dealing with clients, and display professionalism and patience when offering advice and support Provide telephone, remote and on-site technical support. To treat every customer's setup as if it were your own and provide them with the best possible support we can offer, putting the customer first in every instance. Installing new software (Applications, VMWare, Veeam, Microsoft Server platforms). Installing new hardware (servers, printers, computer workstations, laptops, switches, firewalls, network infrastructure etc). Providing general administration of customers systems Overseeing security of all customer's systems. Diagnosing and resolving network faults. Provide limited training for customers on new equipment. Planning future improvements for customer's sites and setups. Provide detailed and comprehensive job sheet recording in time management software. Comply with company procedures. Comply with company health & safety regulations. Produce/update detailed network documentation of any installations undertaken ICT Systems Engineer PROFILE: Experience: Experience of Windows Server 2016/19/22/25, Experience of all Windows Operating Systems through to Windows 11. Experience with Microsoft 365 Suite and Azure/AWS/Google. Experience with managing and troubleshooting backup solutions Experience of Apple and Linux. Experience of WiFi networking. Experience of VOIP telephone systems, particularly 3CX. Hardware installation, configuration and support. WAN/LAN/VLAN installation and configuration. TCP/IP and other protocol configuration. Internet and security technologies. Systems and database management. Proven IT Support / Systems Administration skills. Qualification and skills: Excellent communication skills. Strong organisational skills with a methodical approach. Must be able to take initiative and solve problems on your own (when appropriate). Good all-round IT literacy. Good time management and the ability to complete work in a timely manner. Ideally you must have at least 5 GSCE's (C/4 and above) - Maths and English are a must. Personal attributes: Approachable and friendly. Tidy and presentable. Takes ownership and responsibility for self and others. Attention to detail. Ability to effectively prioritise customer requirements. Good communicator. Methodical approach required with a clear audit trail. Team player. ADDITIONAL REQUIREMENTS: A valid UK driving licence, be willing to use your own vehicle and insured for Business use SALARY AND BENEFITS: Based on 37.5 hour week - Monday to Friday 8:30am to 5:00pm £20,000 - £35,000 - basic salary depending on experience/qualifications, plus: Use of corporate membership to leisure and gym at Exeter Golf and Country Club. Part of Technical commission scheme. Staff share scheme and dividends Team events and regular trips Training and Microsoft exams Overtime, including weekend work and out of hours calls. Company laptop Pension
Lead Data Engineer Microsoft Fabric Azure AI Birmingham Hybrid 2-3 days per week £60,000 - £70,000 + 10% bonus + excellent benefits If you enjoy building data platforms rather than simply maintaining them, this could be worth a look. Were supporting a well-established financial services organisation investing heavily in Azure, Microsoft Fabric and AI-driven insight capability click apply for full job details
May 16, 2026
Full time
Lead Data Engineer Microsoft Fabric Azure AI Birmingham Hybrid 2-3 days per week £60,000 - £70,000 + 10% bonus + excellent benefits If you enjoy building data platforms rather than simply maintaining them, this could be worth a look. Were supporting a well-established financial services organisation investing heavily in Azure, Microsoft Fabric and AI-driven insight capability click apply for full job details
Responsibilities Contribute your technical skills to a team of talented engineers to help innovate while keeping the platform stable, secure, and reliable. Work within a diverse team on exciting engineering initiatives, driving secure and efficient outcomes using the latest technology. Identify continuous improvement opportunities within our core ecosystem to enhance the application and developer experience. Collaborate with Senior and Principal Engineers to implement the strategic direction of our AI capabilities. Collaborate with business stakeholders on independent work assignments. Adopt a "value-first" mentality, working across the engineering team to understand the needs of both application teams and operational stakeholders. Actively participate in the engineering community, sharing knowledge and adopting best practices to ensure high-quality codebases. Cultivate a culture of curiosity and creative problem-solving within the team to drive continuous innovation. Support the "build and run" responsibilities for Enterprise AI products, ensuring robust support and integration into standard incident processes. Engage in hands on coding, building, and maintenance of AI driven applications. Design and build solutions with a focus on quality, including automated testing, security, and architectural alignment. Utilise and improve Continuous Integration and Continuous Delivery (CI/CD) pipelines to ensure efficient software delivery. Support internal and external application teams in resolving barriers related to the deployment and utilisation of engineering products. Come up with the resolution of technical issues, ensuring sound and scalable solutions. Bring innovative ideas and solutions to the team. Minimum Qualifications Proven Experience: Solid experience delivering and maintaining software products within a DevSecOps and AI environment. Practical hands on experience (or strong theoretical knowledge) with RAG, LLMs, and MLOps. Programming: Proficiency in Python, React, and TypeScript. Passion for Innovation: A genuine eagerness to stay current with the latest AI research, trends, and emerging technologies. Cloud & Infrastructure: Experience with Cloud platforms (ideally GCP or Azure) and familiarity with Infrastructure as Code (e.g., Terraform). Communication: Ability to explain technical topics clearly to team members and stakeholders to encourage adoption. Operational Mindset: Experience ensuring internal products are well maintained, supported, and iterated upon based on user feedback. Preferred Qualifications Familiarity with NLP, Embeddings, and Prompt Engineering is highly desirable. Global Collaboration: Experience or willingness to work across different time zones as part of a global organisation. Travel: 0% - Not specified Location: UK - Hook (Hybrid - Three days per week in the office) Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.
May 16, 2026
Full time
Responsibilities Contribute your technical skills to a team of talented engineers to help innovate while keeping the platform stable, secure, and reliable. Work within a diverse team on exciting engineering initiatives, driving secure and efficient outcomes using the latest technology. Identify continuous improvement opportunities within our core ecosystem to enhance the application and developer experience. Collaborate with Senior and Principal Engineers to implement the strategic direction of our AI capabilities. Collaborate with business stakeholders on independent work assignments. Adopt a "value-first" mentality, working across the engineering team to understand the needs of both application teams and operational stakeholders. Actively participate in the engineering community, sharing knowledge and adopting best practices to ensure high-quality codebases. Cultivate a culture of curiosity and creative problem-solving within the team to drive continuous innovation. Support the "build and run" responsibilities for Enterprise AI products, ensuring robust support and integration into standard incident processes. Engage in hands on coding, building, and maintenance of AI driven applications. Design and build solutions with a focus on quality, including automated testing, security, and architectural alignment. Utilise and improve Continuous Integration and Continuous Delivery (CI/CD) pipelines to ensure efficient software delivery. Support internal and external application teams in resolving barriers related to the deployment and utilisation of engineering products. Come up with the resolution of technical issues, ensuring sound and scalable solutions. Bring innovative ideas and solutions to the team. Minimum Qualifications Proven Experience: Solid experience delivering and maintaining software products within a DevSecOps and AI environment. Practical hands on experience (or strong theoretical knowledge) with RAG, LLMs, and MLOps. Programming: Proficiency in Python, React, and TypeScript. Passion for Innovation: A genuine eagerness to stay current with the latest AI research, trends, and emerging technologies. Cloud & Infrastructure: Experience with Cloud platforms (ideally GCP or Azure) and familiarity with Infrastructure as Code (e.g., Terraform). Communication: Ability to explain technical topics clearly to team members and stakeholders to encourage adoption. Operational Mindset: Experience ensuring internal products are well maintained, supported, and iterated upon based on user feedback. Preferred Qualifications Familiarity with NLP, Embeddings, and Prompt Engineering is highly desirable. Global Collaboration: Experience or willingness to work across different time zones as part of a global organisation. Travel: 0% - Not specified Location: UK - Hook (Hybrid - Three days per week in the office) Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.
MES Implementation Consultant Basildon OR Luton OR Southampton OR Edinburgh - 1 day a week onsite 10-Month contract Paying up to 60p/h (InsideIR35) Defence sector Please note - due to the nature of the work, you will need to hold or be eligible to obtain a high level of UK Security clearance - please only apply if suitable Role Overview: We are seeking a MES Implementation Consultant with hands-on experience in deploying and configuring Siemens MES solutions, particularly in OpCenter. You will play a key role in the implementation and debugging of Siemens-delivered configurations, working closely with both internal teams and Siemens representatives via remote collaboration tools. Key Responsibilities: Lead deployment and configuration of Siemens Opcenter MES on Microsoft Azure, across development, test, and production environments. Collaborate with Siemens via screen-sharing sessions to troubleshoot, debug, and validate configuration deployments. Execute and monitor Windows services and command-line operations to support MES deployment and maintenance. Support integration between Opcenter, Teamcenter Easy Plan, and SAP S/4HANA, ensuring data consistency and process alignment across PLM, MES, and ERP systems. Liaise with external partners during replatforming and transition activities. Provide technical input into test planning and environment readiness. Document deployment processes and contribute to the continuous improvement of MES implementation practices. Required Skillset & Experience Proven experience with Siemens MES toolset, especially Opcenter and Teamcenter. Strong understanding of MES deployment lifecycle and configuration management. Experience integrating MES with PLM and ERP systems, particularly Teamcenter Easy Plan and SAP S/4HANA. Experience deploying and managing MES solutions in Azure Cloud environments. Proficiency in Windows command prompt and service management. Experience in remote collaboration and screen sharing for technical troubleshooting. Ability to work in a fast-paced, multi-vendor environment. Excellent communication and stakeholder engagement skills. Knowledge of QAPS environments and production readiness processes. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
May 16, 2026
Contractor
MES Implementation Consultant Basildon OR Luton OR Southampton OR Edinburgh - 1 day a week onsite 10-Month contract Paying up to 60p/h (InsideIR35) Defence sector Please note - due to the nature of the work, you will need to hold or be eligible to obtain a high level of UK Security clearance - please only apply if suitable Role Overview: We are seeking a MES Implementation Consultant with hands-on experience in deploying and configuring Siemens MES solutions, particularly in OpCenter. You will play a key role in the implementation and debugging of Siemens-delivered configurations, working closely with both internal teams and Siemens representatives via remote collaboration tools. Key Responsibilities: Lead deployment and configuration of Siemens Opcenter MES on Microsoft Azure, across development, test, and production environments. Collaborate with Siemens via screen-sharing sessions to troubleshoot, debug, and validate configuration deployments. Execute and monitor Windows services and command-line operations to support MES deployment and maintenance. Support integration between Opcenter, Teamcenter Easy Plan, and SAP S/4HANA, ensuring data consistency and process alignment across PLM, MES, and ERP systems. Liaise with external partners during replatforming and transition activities. Provide technical input into test planning and environment readiness. Document deployment processes and contribute to the continuous improvement of MES implementation practices. Required Skillset & Experience Proven experience with Siemens MES toolset, especially Opcenter and Teamcenter. Strong understanding of MES deployment lifecycle and configuration management. Experience integrating MES with PLM and ERP systems, particularly Teamcenter Easy Plan and SAP S/4HANA. Experience deploying and managing MES solutions in Azure Cloud environments. Proficiency in Windows command prompt and service management. Experience in remote collaboration and screen sharing for technical troubleshooting. Ability to work in a fast-paced, multi-vendor environment. Excellent communication and stakeholder engagement skills. Knowledge of QAPS environments and production readiness processes. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Full Stack Software Engineer (Data-Focused) Location: London - Hybrid - 1-2 days per week Salary: (Apply online only)k + Bonus Type: Permanent Sponsorship: Not Available Role Overview: We are seeking a Senior or Staff-Level Fullstack Software Engineer with a strong background in data to join our Data Science & Engineering team.This is a greenfield initiative that seeks to consolidate several lines of business under a single modern architecture. In this role, you will empower the business with the technology and tools needed to leverage data throughout the organization. This Includes: Deploying open-source BI tools and platforms Setting up streaming data collection and validation services Implementing third-party analytic solutions Assisting with data-centric migration tasks Key Responsibilities: Partner with Data Engineers to deploy and maintain internal data tools and platforms Implement and maintain integrations with third-party data platforms and APIs Work with DevOps and Platform Engineers to support: Infrastructure as Code using Terraform Containerisation and deployment via Kubernetes (AKS) CI/CD automation via ArgoCD Monitoring via OTLP and Sumo Logic Contribute to architectural decisions, with a strong emphasis on data security Assist migration and data engineering teams in moving legacy products to a new technology stack Support documentation, testing, and ongoing maintenance of production systems Required Qualifications: 7+ years of experience in software engineering roles, with a track record of building solutions end-to-end Experience deploying applications in cloud environments, preferably Microsoft Azure Strong experience in REST API design and OpenAPI standards Extensive experience working with databases, data platforms, and analytical tools Ability to research, propose, and implement solutions with minimal supervision Experience building internal-facing CRUD applications Familiarity with front-end development and ability to make basic modifications to open-source UI components Experience enabling data scientists and engineers with Python-based development workflows and tooling Technology Stack: Azure Cloud Services C# (.NET 10) Python React.js and modern JavaScript (ES6+) Snowflake (Data Warehouse) Apache Airflow Terraform dbt SQL Server
May 16, 2026
Full time
Full Stack Software Engineer (Data-Focused) Location: London - Hybrid - 1-2 days per week Salary: (Apply online only)k + Bonus Type: Permanent Sponsorship: Not Available Role Overview: We are seeking a Senior or Staff-Level Fullstack Software Engineer with a strong background in data to join our Data Science & Engineering team.This is a greenfield initiative that seeks to consolidate several lines of business under a single modern architecture. In this role, you will empower the business with the technology and tools needed to leverage data throughout the organization. This Includes: Deploying open-source BI tools and platforms Setting up streaming data collection and validation services Implementing third-party analytic solutions Assisting with data-centric migration tasks Key Responsibilities: Partner with Data Engineers to deploy and maintain internal data tools and platforms Implement and maintain integrations with third-party data platforms and APIs Work with DevOps and Platform Engineers to support: Infrastructure as Code using Terraform Containerisation and deployment via Kubernetes (AKS) CI/CD automation via ArgoCD Monitoring via OTLP and Sumo Logic Contribute to architectural decisions, with a strong emphasis on data security Assist migration and data engineering teams in moving legacy products to a new technology stack Support documentation, testing, and ongoing maintenance of production systems Required Qualifications: 7+ years of experience in software engineering roles, with a track record of building solutions end-to-end Experience deploying applications in cloud environments, preferably Microsoft Azure Strong experience in REST API design and OpenAPI standards Extensive experience working with databases, data platforms, and analytical tools Ability to research, propose, and implement solutions with minimal supervision Experience building internal-facing CRUD applications Familiarity with front-end development and ability to make basic modifications to open-source UI components Experience enabling data scientists and engineers with Python-based development workflows and tooling Technology Stack: Azure Cloud Services C# (.NET 10) Python React.js and modern JavaScript (ES6+) Snowflake (Data Warehouse) Apache Airflow Terraform dbt SQL Server
Infrastructure Engineer (Azure) A well-established organisation is seeking an experienced Infrastructure Engineer to join its technology team, supporting and developing a modern Microsoft cloud and hybrid environment. The IT function delivers secure, resilient and high-performing services that underpin core operational and user-facing systems. This is a hands-on technical role with a strong focus on Azure, Microsoft 365 and identity platforms. Your New Role In this role, you will be responsible for the design, implementation and ongoing support of Microsoft Azure infrastructure and related cloud services. You will contribute to the development of cloud and hybrid architecture, ensuring systems remain secure, available and scalable. Day-to-day responsibilities will include administration and optimisation of Microsoft 365 services such as Exchange Online, SharePoint, Teams and Entra ID, alongside ownership of modern endpoint management through Microsoft Intune, including Autopilot, compliance policies and device configuration. You will support hybrid identity across Active Directory and Entra ID, applying Conditional Access and Zero Trust principles, and play an active role in cloud migration and service modernisation initiatives. Security will be a core focus of the role, including patching, vulnerability remediation, Microsoft Defender tooling and the investigation and resolution of cloud and identity related security incidents. You will also contribute to back up, disaster recovery and business continuity planning, monitor platform performance and resilience, manage certificates and domains, and work closely with third party suppliers where required. The role includes producing clear technical documentation, contributing to infrastructure standards and policies, and providing senior level support for complex infrastructure issues. What You'll Need to Succeed To be successful, you will have strong hands-on experience designing and supporting Microsoft Azure infrastructure, including IaaS, networking, security and monitoring. You will have excellent knowledge of identity and access management using Active Directory and Entra ID, with experience administering Microsoft 365 and managing modern endpoints through Intune. A solid understanding of security best practice is essential, particularly around Conditional Access, Zero Trust and Microsoft Defender. You will have experience operating in hybrid environments and a good working knowledge of backup, recovery and disaster recovery processes, alongside core networking concepts such as DNS, DHCP, firewalls and secure connectivity. PowerShell or automation skills will be advantageous, as will experience supporting high availability and performance optimisation in cloud platforms. Strong communication skills and experience operating at second or third line support level within an enterprise environment are also important. Microsoft certifications such as AZ 104 or AZ 500 would be beneficial, as would exposure to cloud migration programmes, infrastructure modernisation and working with security or compliance frameworks such as Cyber Essentials. What You'll Get in Return Starting salary of 50,000 (possibly some flexibility in salary for the right candidate), annual leave starting at 28 days holiday, plus bank holidays (including 3 days to be taken over the Christmas period). 11% employer contribution to your pension (with 4.9% employee contribution), Employee Assistance Programme, enhanced Maternity / Paternity scheme, a cycle to work scheme, subsidised lunches, free or heavily discounted access to the organisations sports and leisure facilities and discounts at local retailers and businesses. This role offers the opportunity to work in a collaborative environment with a strong focus on modern technology, security and continuous improvement, providing genuine scope to develop your cloud and infrastructure expertise. What You Need to Do NowIf you're interested in this role, click apply now to forward an up-to-date copy of your CV, or contact us for a confidential discussion about the position. If this job isn't quite right for you, but you are looking for a new infrastructure or cloud role, please get in touch to discuss other opportunities. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
May 16, 2026
Full time
Infrastructure Engineer (Azure) A well-established organisation is seeking an experienced Infrastructure Engineer to join its technology team, supporting and developing a modern Microsoft cloud and hybrid environment. The IT function delivers secure, resilient and high-performing services that underpin core operational and user-facing systems. This is a hands-on technical role with a strong focus on Azure, Microsoft 365 and identity platforms. Your New Role In this role, you will be responsible for the design, implementation and ongoing support of Microsoft Azure infrastructure and related cloud services. You will contribute to the development of cloud and hybrid architecture, ensuring systems remain secure, available and scalable. Day-to-day responsibilities will include administration and optimisation of Microsoft 365 services such as Exchange Online, SharePoint, Teams and Entra ID, alongside ownership of modern endpoint management through Microsoft Intune, including Autopilot, compliance policies and device configuration. You will support hybrid identity across Active Directory and Entra ID, applying Conditional Access and Zero Trust principles, and play an active role in cloud migration and service modernisation initiatives. Security will be a core focus of the role, including patching, vulnerability remediation, Microsoft Defender tooling and the investigation and resolution of cloud and identity related security incidents. You will also contribute to back up, disaster recovery and business continuity planning, monitor platform performance and resilience, manage certificates and domains, and work closely with third party suppliers where required. The role includes producing clear technical documentation, contributing to infrastructure standards and policies, and providing senior level support for complex infrastructure issues. What You'll Need to Succeed To be successful, you will have strong hands-on experience designing and supporting Microsoft Azure infrastructure, including IaaS, networking, security and monitoring. You will have excellent knowledge of identity and access management using Active Directory and Entra ID, with experience administering Microsoft 365 and managing modern endpoints through Intune. A solid understanding of security best practice is essential, particularly around Conditional Access, Zero Trust and Microsoft Defender. You will have experience operating in hybrid environments and a good working knowledge of backup, recovery and disaster recovery processes, alongside core networking concepts such as DNS, DHCP, firewalls and secure connectivity. PowerShell or automation skills will be advantageous, as will experience supporting high availability and performance optimisation in cloud platforms. Strong communication skills and experience operating at second or third line support level within an enterprise environment are also important. Microsoft certifications such as AZ 104 or AZ 500 would be beneficial, as would exposure to cloud migration programmes, infrastructure modernisation and working with security or compliance frameworks such as Cyber Essentials. What You'll Get in Return Starting salary of 50,000 (possibly some flexibility in salary for the right candidate), annual leave starting at 28 days holiday, plus bank holidays (including 3 days to be taken over the Christmas period). 11% employer contribution to your pension (with 4.9% employee contribution), Employee Assistance Programme, enhanced Maternity / Paternity scheme, a cycle to work scheme, subsidised lunches, free or heavily discounted access to the organisations sports and leisure facilities and discounts at local retailers and businesses. This role offers the opportunity to work in a collaborative environment with a strong focus on modern technology, security and continuous improvement, providing genuine scope to develop your cloud and infrastructure expertise. What You Need to Do NowIf you're interested in this role, click apply now to forward an up-to-date copy of your CV, or contact us for a confidential discussion about the position. If this job isn't quite right for you, but you are looking for a new infrastructure or cloud role, please get in touch to discuss other opportunities. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Data Engineer Edinburgh (Hybrid Working) Competitive Pay & Great Benefits Quorum is one of Scotland s leading Microsoft Partners and a Direct Cloud Solutions Provider (CSP). We re looking for a Data Engineer to join our established and fast-growing Data team. This is a hands-on role working across a wide range of client projects, from SMEs to large enterprise organisations. You ll design and build modern data platforms that enable powerful analytics and business insights, using the latest Microsoft technologies. Whether you re an experienced Data Engineer or looking to take the next step, you ll be supported every step of the way with structured development, access to a Microsoft Certified Trainer, and clear opportunities to grow your technical expertise. What You ll Be Doing Work with clients to scope and design data solutions aligned to their analytical needs Build modern Data Warehouse and Data Lake/Lakehouse solutions (primarily using Microsoft Fabric) Design and develop complex ETL/ELT pipelines Deliver secure, scalable, and high-performing data platforms and infrastructure Implement best practices across data architecture, performance, and security Produce clear technical documentation for design, delivery, and ongoing support What We re Looking For Strong customer-facing skills, with experience gathering requirements and running workshops Experience with Microsoft data technologies (e.g. Fabric, Azure, SQL Server, Power BI) Solid coding skills in data-focused tools/languages (e.g. Python, SQL, Data Factory) Strong problem-solving and analytical thinking Self-motivated, with the ability to take ownership of projects Excellent communication skills (written and verbal) Experience with reporting tools (Power BI, Tableau, Qlik) or statistics is advantageous Why Join Quorum? Quorum is an employee-owned Scottish technology consultancy, delivering innovative data, cloud, and infrastructure solutions to organisations of all sizes. We offer more than just a job we invest in your long-term development and wellbeing: Competitive salary Contributory pension & private healthcare Buy/sell holiday scheme Paid home broadband Annual bonus for Microsoft accreditations Access to a Microsoft Certified Trainer Personal technical development budget Award-winning, family-friendly working culture Collaborative environment with strong knowledge sharing We re proud of our high retention, supportive culture, and commitment to helping our people thrive both professionally and personally. Apply Now If you re passionate about building scalable data platforms and solving complex data challenges, we d love to hear from you. Apply today for immediate consideration.
May 16, 2026
Full time
Data Engineer Edinburgh (Hybrid Working) Competitive Pay & Great Benefits Quorum is one of Scotland s leading Microsoft Partners and a Direct Cloud Solutions Provider (CSP). We re looking for a Data Engineer to join our established and fast-growing Data team. This is a hands-on role working across a wide range of client projects, from SMEs to large enterprise organisations. You ll design and build modern data platforms that enable powerful analytics and business insights, using the latest Microsoft technologies. Whether you re an experienced Data Engineer or looking to take the next step, you ll be supported every step of the way with structured development, access to a Microsoft Certified Trainer, and clear opportunities to grow your technical expertise. What You ll Be Doing Work with clients to scope and design data solutions aligned to their analytical needs Build modern Data Warehouse and Data Lake/Lakehouse solutions (primarily using Microsoft Fabric) Design and develop complex ETL/ELT pipelines Deliver secure, scalable, and high-performing data platforms and infrastructure Implement best practices across data architecture, performance, and security Produce clear technical documentation for design, delivery, and ongoing support What We re Looking For Strong customer-facing skills, with experience gathering requirements and running workshops Experience with Microsoft data technologies (e.g. Fabric, Azure, SQL Server, Power BI) Solid coding skills in data-focused tools/languages (e.g. Python, SQL, Data Factory) Strong problem-solving and analytical thinking Self-motivated, with the ability to take ownership of projects Excellent communication skills (written and verbal) Experience with reporting tools (Power BI, Tableau, Qlik) or statistics is advantageous Why Join Quorum? Quorum is an employee-owned Scottish technology consultancy, delivering innovative data, cloud, and infrastructure solutions to organisations of all sizes. We offer more than just a job we invest in your long-term development and wellbeing: Competitive salary Contributory pension & private healthcare Buy/sell holiday scheme Paid home broadband Annual bonus for Microsoft accreditations Access to a Microsoft Certified Trainer Personal technical development budget Award-winning, family-friendly working culture Collaborative environment with strong knowledge sharing We re proud of our high retention, supportive culture, and commitment to helping our people thrive both professionally and personally. Apply Now If you re passionate about building scalable data platforms and solving complex data challenges, we d love to hear from you. Apply today for immediate consideration.
Data Platform Manager UK / Remote Circa 70k per annum + 15% bonus & benefits Are you ready to take ownership of a data platform and shape how data drives business decisions? This is a rare opportunity to step into a leadership role where you'll combine hands-on data engineering with strategic product management, all while building and mentoring a high-performing team. You'll play a pivotal role in evolving a modern data platform (Microsoft Fabric / Azure Synapse), ensuring it delivers real business value, scalability, and innovation. If you're passionate about data, leadership, and building robust data solutions-this is one you don't want to miss. What you'll be doing Own the end-to-end lifecycle of a core data platform, from design and build through to release, optimisation, and retirement Collaborate closely with product owners and data scientists to align platform capabilities with business needs Lead datalake migration initiatives, including consolidation of legacy data, medallion architecture design, schema evolution, and cutover planning Provide hands-on data engineering expertise, building and optimising PySpark pipelines Ensure data is secure, high-quality, accessible, and structured for maximum business value Drive best practice in data governance, cataloguing, lineage, and standards across the organisation Promote data re-use and reduce duplication across systems Oversee ETL processes, data integration, and BI architecture Manage and develop a small, high-performing data team, including mentoring, 1:1s, and continuous improvement initiatives Work closely with stakeholders across operations, analytics, and reporting teams Ensure compliance with data protection regulations and internal policies What you'll bring Strong hands-on experience in data engineering, including PySpark and production data pipelines Experience with Microsoft Fabric, Azure Synapse, or similar platforms (e.g. Databricks, AWS) Proven ability to design and manage scalable data pipelines, models, and schemas Solid SQL and relational database expertise Experience with datalake migration concepts (medallion architecture, incremental loads, backfill, cutover) Strong understanding of data governance, quality, and lifecycle management Experience with BI tools such as Power BI or Tableau Knowledge of DevOps practices (Git, Azure DevOps, CI/CD pipelines) Strong Python skills and experience with APIs/data integration tools Understanding of data protection regulations Leadership experience with the ability to mentor and develop teams Excellent communication, problem-solving, and stakeholder management skills Desirable: Experience with project management methodologies, SDLC tools, and awareness of emerging data trends If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Product Manager, Data Engineering Lead, Lead Data Engineer, Azure Data Engineer, Data Platform Manager, Analytics Engineering Manager, Cloud Data Engineer, BI & Data Lead, PySpark Engineer, Databricks Engineer, Head of Data Engineering. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
May 16, 2026
Full time
Data Platform Manager UK / Remote Circa 70k per annum + 15% bonus & benefits Are you ready to take ownership of a data platform and shape how data drives business decisions? This is a rare opportunity to step into a leadership role where you'll combine hands-on data engineering with strategic product management, all while building and mentoring a high-performing team. You'll play a pivotal role in evolving a modern data platform (Microsoft Fabric / Azure Synapse), ensuring it delivers real business value, scalability, and innovation. If you're passionate about data, leadership, and building robust data solutions-this is one you don't want to miss. What you'll be doing Own the end-to-end lifecycle of a core data platform, from design and build through to release, optimisation, and retirement Collaborate closely with product owners and data scientists to align platform capabilities with business needs Lead datalake migration initiatives, including consolidation of legacy data, medallion architecture design, schema evolution, and cutover planning Provide hands-on data engineering expertise, building and optimising PySpark pipelines Ensure data is secure, high-quality, accessible, and structured for maximum business value Drive best practice in data governance, cataloguing, lineage, and standards across the organisation Promote data re-use and reduce duplication across systems Oversee ETL processes, data integration, and BI architecture Manage and develop a small, high-performing data team, including mentoring, 1:1s, and continuous improvement initiatives Work closely with stakeholders across operations, analytics, and reporting teams Ensure compliance with data protection regulations and internal policies What you'll bring Strong hands-on experience in data engineering, including PySpark and production data pipelines Experience with Microsoft Fabric, Azure Synapse, or similar platforms (e.g. Databricks, AWS) Proven ability to design and manage scalable data pipelines, models, and schemas Solid SQL and relational database expertise Experience with datalake migration concepts (medallion architecture, incremental loads, backfill, cutover) Strong understanding of data governance, quality, and lifecycle management Experience with BI tools such as Power BI or Tableau Knowledge of DevOps practices (Git, Azure DevOps, CI/CD pipelines) Strong Python skills and experience with APIs/data integration tools Understanding of data protection regulations Leadership experience with the ability to mentor and develop teams Excellent communication, problem-solving, and stakeholder management skills Desirable: Experience with project management methodologies, SDLC tools, and awareness of emerging data trends If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Product Manager, Data Engineering Lead, Lead Data Engineer, Azure Data Engineer, Data Platform Manager, Analytics Engineering Manager, Cloud Data Engineer, BI & Data Lead, PySpark Engineer, Databricks Engineer, Head of Data Engineering. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Delivery Lead Enterprise Data Platform London Hybrid £90,000 £100,000 + Benefits VIQU is working with a leading financial services organisation to recruit a Delivery Lead to own the end-to-end delivery of complex data engineering and platform initiatives on their Azure-based Enterprise Data Platform. This role will focus on delivering platform enhancements, automation, and data governance , ensuring alignment with the business and regulatory requirements, and driving measurable business outcomes. Key Responsibilities: • Lead delivery of Azure cloud platform enhancements and automation, including integration with RDM/MDM and data quality tooling • Implement and operationalize data governance and data cataloguing using Microsoft Purview and Ataccama, including RBAC/ABAC, PII/DLP, metadata standards, business glossaries, and schema evolution • Define scope and objectives for platform and data engineering initiatives, and deliver structured, risk-managed, and Agile delivery plans • Oversee incremental release of platform features, ensuring alignment with timelines, scope, and budgets • Identify, manage, and mitigate risks, interdependencies, and issues across multiple workstreams • Act as the primary point of contact for stakeholders, ensuring alignment between business and technical teams • Support change management processes for new feature releases • Apply insurance domain knowledge to guide delivery of compliant and reliable data solutions Key Requirements: • Proven experience delivering data governance and data cataloguing initiatives end-to-end • Hands-on experience with Microsoft Purview • Strong Azure Data Platform experience: ADLS Gen2, Azure Databricks, Data Factory • Hands-on data engineering experience (Spark / PySpark, Delta Lake) • Knowledge of security and compliance controls, GDPR, PII/DLP, RBAC/ABAC • Experience leading Agile teams and managing risks, dependencies, and senior stakeholders • Strong communication skills and ability to collaborate across cross-functional teams To apply: Please reach out via LinkedIn to Phoebe Rees or apply via the VIQU website. Know someone suitable? You could earn up to £1,000 if your referral is successful (T&Cs apply).
May 16, 2026
Full time
Delivery Lead Enterprise Data Platform London Hybrid £90,000 £100,000 + Benefits VIQU is working with a leading financial services organisation to recruit a Delivery Lead to own the end-to-end delivery of complex data engineering and platform initiatives on their Azure-based Enterprise Data Platform. This role will focus on delivering platform enhancements, automation, and data governance , ensuring alignment with the business and regulatory requirements, and driving measurable business outcomes. Key Responsibilities: • Lead delivery of Azure cloud platform enhancements and automation, including integration with RDM/MDM and data quality tooling • Implement and operationalize data governance and data cataloguing using Microsoft Purview and Ataccama, including RBAC/ABAC, PII/DLP, metadata standards, business glossaries, and schema evolution • Define scope and objectives for platform and data engineering initiatives, and deliver structured, risk-managed, and Agile delivery plans • Oversee incremental release of platform features, ensuring alignment with timelines, scope, and budgets • Identify, manage, and mitigate risks, interdependencies, and issues across multiple workstreams • Act as the primary point of contact for stakeholders, ensuring alignment between business and technical teams • Support change management processes for new feature releases • Apply insurance domain knowledge to guide delivery of compliant and reliable data solutions Key Requirements: • Proven experience delivering data governance and data cataloguing initiatives end-to-end • Hands-on experience with Microsoft Purview • Strong Azure Data Platform experience: ADLS Gen2, Azure Databricks, Data Factory • Hands-on data engineering experience (Spark / PySpark, Delta Lake) • Knowledge of security and compliance controls, GDPR, PII/DLP, RBAC/ABAC • Experience leading Agile teams and managing risks, dependencies, and senior stakeholders • Strong communication skills and ability to collaborate across cross-functional teams To apply: Please reach out via LinkedIn to Phoebe Rees or apply via the VIQU website. Know someone suitable? You could earn up to £1,000 if your referral is successful (T&Cs apply).
Senior Machine Learning Engineer London, Hybrid (Twice Per Week) Up to £110,000 + 20% Bonus This is an opportunity to take ownership of end to end machine learning delivery in a role that blends technical depth with real world impact. You will work on production grade ML systems that directly improve operational and commercial outcomes, with the backing of a highly skilled, collaborative data team. The Company They are a specialist, data led organisation applying advanced analytics and machine learning to solve complex commercial problems. Their work spans the full lifecycle of data products, from discovery through to deployment, with a strong focus on building robust, scalable solutions. The environment is delivery focused, technically ambitious, and designed for people who want their work to make a measurable difference. The Role You will play a key role in designing, building, and productionising machine learning solutions across a range of use cases. Working closely with data scientists, data engineers, and delivery colleagues, you will help set technical standards and ensure solutions are production ready. Key responsibilities include: Building and deploying machine learning models into live production environments Designing and maintaining MLOps workflows, including model lifecycle management Developing APIs and containerised services to support ML products Implementing DevOps best practices across development and production Collaborating cross functionally to align data, modelling, and business requirements Your Skills and Experience Strong commercial experience developing machine learning solutions in Python Solid understanding of the Python ML ecosystem including libraries such as NumPy, pandas, and scikit learn, with exposure to PyTorch or TensorFlow Experience building and deploying containerised services and APIs Working knowledge of SQL and data driven application development Hands on experience with at least one major cloud platform such as AWS, GCP, or Azure Familiarity with MLOps tooling, workflow orchestration, or feature stores is highly beneficial What They Offer Salary up to £110,000 plus a 20% bonus Hybrid working with two days per week in the London office Exposure to varied, high impact machine learning projects Clear scope for technical ownership and career progression A collaborative culture with strong investment in data and AI capability
May 16, 2026
Full time
Senior Machine Learning Engineer London, Hybrid (Twice Per Week) Up to £110,000 + 20% Bonus This is an opportunity to take ownership of end to end machine learning delivery in a role that blends technical depth with real world impact. You will work on production grade ML systems that directly improve operational and commercial outcomes, with the backing of a highly skilled, collaborative data team. The Company They are a specialist, data led organisation applying advanced analytics and machine learning to solve complex commercial problems. Their work spans the full lifecycle of data products, from discovery through to deployment, with a strong focus on building robust, scalable solutions. The environment is delivery focused, technically ambitious, and designed for people who want their work to make a measurable difference. The Role You will play a key role in designing, building, and productionising machine learning solutions across a range of use cases. Working closely with data scientists, data engineers, and delivery colleagues, you will help set technical standards and ensure solutions are production ready. Key responsibilities include: Building and deploying machine learning models into live production environments Designing and maintaining MLOps workflows, including model lifecycle management Developing APIs and containerised services to support ML products Implementing DevOps best practices across development and production Collaborating cross functionally to align data, modelling, and business requirements Your Skills and Experience Strong commercial experience developing machine learning solutions in Python Solid understanding of the Python ML ecosystem including libraries such as NumPy, pandas, and scikit learn, with exposure to PyTorch or TensorFlow Experience building and deploying containerised services and APIs Working knowledge of SQL and data driven application development Hands on experience with at least one major cloud platform such as AWS, GCP, or Azure Familiarity with MLOps tooling, workflow orchestration, or feature stores is highly beneficial What They Offer Salary up to £110,000 plus a 20% bonus Hybrid working with two days per week in the London office Exposure to varied, high impact machine learning projects Clear scope for technical ownership and career progression A collaborative culture with strong investment in data and AI capability
2nd Line Support Engineer (Infrastructure) Location: Hybrid / UK-based Contract Length: 6 months IR35 Status: Outside IR35 Overview We are seeking a proactive and detail-oriented 2nd Line Support Engineer to support and maintain server infrastructure across both on-premise and cloud environments. This is a hands-on role suited to someone with solid foundational experience who is looking to deepen their skills across infrastructure, backend systems, and some frontend/server-facing technologies. You will work closely with senior engineers to support, monitor, and maintain systems, assist with upgrades, and ensure platform stability within a highly regulated environment. Key Responsibilities Provide 2nd line support for physical and virtual server environments Monitor system performance, investigate issues, and carry out troubleshooting across backend infrastructure Support and maintain Windows Server platforms (basic Linux exposure beneficial) Assist with server upgrades, patching, and migration activities (Windows & SQL Server) Support core services including Active Directory, DNS, DHCP, and Group Policy Work with monitoring tools to ensure system availability and performance Assist in maintaining security standards and compliance requirements Collaborate with senior engineers and other teams on infrastructure improvements Contribute to documentation, runbooks, and standard operating procedures Key Skills & Experience Experience in a 2nd Line Support or similar infrastructure support role Working knowledge of Windows Server environments Basic understanding of Active Directory, DNS, DHCP, and Group Policy Experience troubleshooting server, application, or infrastructure issues Awareness of backend systems and how they interact with frontend services Exposure to SQL Server (support, basic queries, or maintenance tasks) Familiarity with monitoring tools and alerting systems Understanding of security and compliance in regulated environments (desirable) Exposure to cloud platforms such as Azure or AWS (beneficial but not essential) Basic scripting knowledge (PowerShell or similar) is a plus Apply now to speak with VIQU IT in confidence. Or reach out to Phoebe Thompson via the VIQU IT website. Do you know someone great? We ll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on IT Recruitment.
May 16, 2026
Contractor
2nd Line Support Engineer (Infrastructure) Location: Hybrid / UK-based Contract Length: 6 months IR35 Status: Outside IR35 Overview We are seeking a proactive and detail-oriented 2nd Line Support Engineer to support and maintain server infrastructure across both on-premise and cloud environments. This is a hands-on role suited to someone with solid foundational experience who is looking to deepen their skills across infrastructure, backend systems, and some frontend/server-facing technologies. You will work closely with senior engineers to support, monitor, and maintain systems, assist with upgrades, and ensure platform stability within a highly regulated environment. Key Responsibilities Provide 2nd line support for physical and virtual server environments Monitor system performance, investigate issues, and carry out troubleshooting across backend infrastructure Support and maintain Windows Server platforms (basic Linux exposure beneficial) Assist with server upgrades, patching, and migration activities (Windows & SQL Server) Support core services including Active Directory, DNS, DHCP, and Group Policy Work with monitoring tools to ensure system availability and performance Assist in maintaining security standards and compliance requirements Collaborate with senior engineers and other teams on infrastructure improvements Contribute to documentation, runbooks, and standard operating procedures Key Skills & Experience Experience in a 2nd Line Support or similar infrastructure support role Working knowledge of Windows Server environments Basic understanding of Active Directory, DNS, DHCP, and Group Policy Experience troubleshooting server, application, or infrastructure issues Awareness of backend systems and how they interact with frontend services Exposure to SQL Server (support, basic queries, or maintenance tasks) Familiarity with monitoring tools and alerting systems Understanding of security and compliance in regulated environments (desirable) Exposure to cloud platforms such as Azure or AWS (beneficial but not essential) Basic scripting knowledge (PowerShell or similar) is a plus Apply now to speak with VIQU IT in confidence. Or reach out to Phoebe Thompson via the VIQU IT website. Do you know someone great? We ll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on IT Recruitment.
Sales Executive Data & AI page is loaded Sales Executive Data & AIlocations: UK-Hayes-Hyde Park Hayestime type: Full timeposted on: Posted 24 Days Agojob requisition id: R-23108# Overview Specializes in identifying, developing, and closing Data & AI opportunities with new and existing customers that drive measurable business outcomes and profitable growth. Owns and nurtures strategic customer relationships while collaborating with internal technical and commercial teams to align AI, data, and cloud solutions to customer priorities.Acts as a trusted advisor, leveraging deep Data & AI domain knowledge to differentiate Rackspace, uncover new business, and accelerate customers' adoption of modern data platforms, AI/ML solutions, analytics capabilities, and multi-cloud architectures. Responsible for the full sales cycle - from hunting and prospecting through solution design, negotiation, and successful handoff into delivery - ensuring exceptional customer experiences and long-term value realization.Engages with senior stakeholders, including IT leaders and C suite executives, using strong executive presence and commercial acumen to translate Data & AI technologies into compelling business solutions. Shapes customer roadmaps, identifies whitespace, and drives pursuit strategies that position Rackspace as a strategic partner in data modernization and AI transformation.Higher-level roles focus on large-scale Data & AI initiatives, strategic enterprise accounts, and high-value digital transformation programmes that generate sustainable revenue in alignment with Rackspace's cloud and AI vision. Key Responsibilities Pipeline Generation & Sales Execution Meet and exceed monthly sales quotas by driving outbound and inbound Data & AI solution opportunities, selling consultatively based on customer challenges and industry context. Own the full Data & AI sales cycle , including prospecting, discovery, value mapping, solution scoping, pricing, negotiation, and deal closure. Maintain accurate forecasts and opportunity progression through Salesforce . Technical & Solution Alignment Partner closely with Solutions Engineers, Data Architects, and AI SMEs to validate technical feasibility and shape end to end data, analytics, and AI solutions. Assess customer requirements for data platforms, MLOps, analytics modernization, generative AI, and cloud-native architectures - identifying required customizations or integration paths. Influence internal product and engineering teams to evolve Rackspace's Data & AI propositions based on customer demand. Customer Engagement & Relationship Building Build deep, trust-based relationships with leaders across the customer organization - including CIO, CTO, CDO, DS/AI leads, and line-of-business executives. Drive multi-threaded account penetration and guide customers through modern Data & AI transformation journeys. Translate complex technical capabilities into business value outcomes such as cost optimization, operational efficiency, risk reduction, automation, and innovation enablement. Go-to-Market Alignment & Ecosystem Engagement Leverage partners across the cloud and AI ecosystem (AWS, Azure, Google Cloud, Snowflake, Databricks, etc.) to develop new opportunities and co sell strategic solutions. Cultivate a hunting list of target accounts aligned to Rackspace's multi cloud Data & AI strategy. Governance & Execution Excellence Lead pursuit planning, run account reviews, and support strategic account development to ensure successful delivery and customer satisfaction. Ensure adherence to Rackspace security policies, data handling standards, and responsible AI practices. Typical sales cycle duration: 2-6 months . Qualifications Professional Sales Methodology experience (e.g., Miller Heiman, MEDDIC/MEDDPICC, Value-Based Selling, Solution Selling). Experience selling Data & AI professional services , such as data platform modernization, analytics consulting, ML/AI solutions, or multi-cloud data architectures. Proven track record of new business development and winning net-new Data & AI customers. Degree-level education or equivalent commercial experience. Strong consultative selling skills with the ability to position value, not just technology. Skilled in C suite engagement with strong communication, negotiation, and forecasting capability. Able to build compelling Data & AI value propositions for IT leadership, data executives, and business stakeholders. About Rackspace Technology We are the multicloud solutions experts. We combine our expertise with the world's leading technologies - across applications, data and security - to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future. More on Rackspace Technology Though we're all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
May 16, 2026
Full time
Sales Executive Data & AI page is loaded Sales Executive Data & AIlocations: UK-Hayes-Hyde Park Hayestime type: Full timeposted on: Posted 24 Days Agojob requisition id: R-23108# Overview Specializes in identifying, developing, and closing Data & AI opportunities with new and existing customers that drive measurable business outcomes and profitable growth. Owns and nurtures strategic customer relationships while collaborating with internal technical and commercial teams to align AI, data, and cloud solutions to customer priorities.Acts as a trusted advisor, leveraging deep Data & AI domain knowledge to differentiate Rackspace, uncover new business, and accelerate customers' adoption of modern data platforms, AI/ML solutions, analytics capabilities, and multi-cloud architectures. Responsible for the full sales cycle - from hunting and prospecting through solution design, negotiation, and successful handoff into delivery - ensuring exceptional customer experiences and long-term value realization.Engages with senior stakeholders, including IT leaders and C suite executives, using strong executive presence and commercial acumen to translate Data & AI technologies into compelling business solutions. Shapes customer roadmaps, identifies whitespace, and drives pursuit strategies that position Rackspace as a strategic partner in data modernization and AI transformation.Higher-level roles focus on large-scale Data & AI initiatives, strategic enterprise accounts, and high-value digital transformation programmes that generate sustainable revenue in alignment with Rackspace's cloud and AI vision. Key Responsibilities Pipeline Generation & Sales Execution Meet and exceed monthly sales quotas by driving outbound and inbound Data & AI solution opportunities, selling consultatively based on customer challenges and industry context. Own the full Data & AI sales cycle , including prospecting, discovery, value mapping, solution scoping, pricing, negotiation, and deal closure. Maintain accurate forecasts and opportunity progression through Salesforce . Technical & Solution Alignment Partner closely with Solutions Engineers, Data Architects, and AI SMEs to validate technical feasibility and shape end to end data, analytics, and AI solutions. Assess customer requirements for data platforms, MLOps, analytics modernization, generative AI, and cloud-native architectures - identifying required customizations or integration paths. Influence internal product and engineering teams to evolve Rackspace's Data & AI propositions based on customer demand. Customer Engagement & Relationship Building Build deep, trust-based relationships with leaders across the customer organization - including CIO, CTO, CDO, DS/AI leads, and line-of-business executives. Drive multi-threaded account penetration and guide customers through modern Data & AI transformation journeys. Translate complex technical capabilities into business value outcomes such as cost optimization, operational efficiency, risk reduction, automation, and innovation enablement. Go-to-Market Alignment & Ecosystem Engagement Leverage partners across the cloud and AI ecosystem (AWS, Azure, Google Cloud, Snowflake, Databricks, etc.) to develop new opportunities and co sell strategic solutions. Cultivate a hunting list of target accounts aligned to Rackspace's multi cloud Data & AI strategy. Governance & Execution Excellence Lead pursuit planning, run account reviews, and support strategic account development to ensure successful delivery and customer satisfaction. Ensure adherence to Rackspace security policies, data handling standards, and responsible AI practices. Typical sales cycle duration: 2-6 months . Qualifications Professional Sales Methodology experience (e.g., Miller Heiman, MEDDIC/MEDDPICC, Value-Based Selling, Solution Selling). Experience selling Data & AI professional services , such as data platform modernization, analytics consulting, ML/AI solutions, or multi-cloud data architectures. Proven track record of new business development and winning net-new Data & AI customers. Degree-level education or equivalent commercial experience. Strong consultative selling skills with the ability to position value, not just technology. Skilled in C suite engagement with strong communication, negotiation, and forecasting capability. Able to build compelling Data & AI value propositions for IT leadership, data executives, and business stakeholders. About Rackspace Technology We are the multicloud solutions experts. We combine our expertise with the world's leading technologies - across applications, data and security - to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future. More on Rackspace Technology Though we're all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
We are seeking a Data & AI Technical Lead to drive the Discovery & Design phase of a large-scale M&A program for a Retail & CPG client. This role will lead the technical direction across a complex, multi-cloud data landscape spanning Azure, AWS, GCP, Databricks, and Snowflake. You will oversee and guide senior Data Architects, ensuring architectural alignment, technical quality, and business relevance. The role sits at the intersection of business strategy, data architecture, and platform engineering, acting as a key liaison between client stakeholders, IT teams, and the Chief Data Office. Required Skills & Experience Core Technical Expertise 15+ years in Data & Analytics, with 5+ years in leadership roles Strong hands-on experience across: Azure cloud, ADF, DevOps, Power BI, Fabric workspaces AWS cloud, S3, cross-cloud connectivity, API Gateways GCP (BigQuery, GCS, Dataflow) Deep expertise in: Databricks (Lakehouse architecture, Delta Lake, Unity Catalog, Delta Sharing, Pyspark, Spark SQL etc.) Snowflake (data warehousing & data sharing, Iceberg, ) Strong understanding of: Data architecture patterns, industry benchmarking, Data integration patterns (ETL/ELT, streaming, CDC, APIs) Data governance & metadata management Architecture & M&A Experience Proven experience in M&A data integration, platform consolidation, or carve-outs Experience designing multi-cloud or hybrid data architectures Familiarity with enterprise architecture frameworks (TOGAF or equivalent) Leadership & Stakeholder Skills Experience managing or leading senior architects or technical teams Strong communication skills with the ability to influence C-level stakeholders Ability to bridge business strategy and technical execution Experience working in consulting or client-facing roles
May 16, 2026
Contractor
We are seeking a Data & AI Technical Lead to drive the Discovery & Design phase of a large-scale M&A program for a Retail & CPG client. This role will lead the technical direction across a complex, multi-cloud data landscape spanning Azure, AWS, GCP, Databricks, and Snowflake. You will oversee and guide senior Data Architects, ensuring architectural alignment, technical quality, and business relevance. The role sits at the intersection of business strategy, data architecture, and platform engineering, acting as a key liaison between client stakeholders, IT teams, and the Chief Data Office. Required Skills & Experience Core Technical Expertise 15+ years in Data & Analytics, with 5+ years in leadership roles Strong hands-on experience across: Azure cloud, ADF, DevOps, Power BI, Fabric workspaces AWS cloud, S3, cross-cloud connectivity, API Gateways GCP (BigQuery, GCS, Dataflow) Deep expertise in: Databricks (Lakehouse architecture, Delta Lake, Unity Catalog, Delta Sharing, Pyspark, Spark SQL etc.) Snowflake (data warehousing & data sharing, Iceberg, ) Strong understanding of: Data architecture patterns, industry benchmarking, Data integration patterns (ETL/ELT, streaming, CDC, APIs) Data governance & metadata management Architecture & M&A Experience Proven experience in M&A data integration, platform consolidation, or carve-outs Experience designing multi-cloud or hybrid data architectures Familiarity with enterprise architecture frameworks (TOGAF or equivalent) Leadership & Stakeholder Skills Experience managing or leading senior architects or technical teams Strong communication skills with the ability to influence C-level stakeholders Ability to bridge business strategy and technical execution Experience working in consulting or client-facing roles
My client are looking for a Contract Senior Software Developer to design, build, and maintain microservices-based applications and data engineering pipelines. This role requires strong hands-on development experience across Java services, backend systems, and data processing platforms, with a focus on building scalable, reliable, and maintainable solutions. The role involves close collaboration with data engineers, QA, product, and platform teams to deliver high-quality services and data products across a complex enterprise environment. Technical Skills & Experience Core Skills Strong hands-on experience developing Java-based applications in a microservices architecture. Solid experience building and maintaining backend services and APIs. Experience contributing to data engineering pipelines, including ETL/ELT workflows, batch processing, and scheduled data builds. Strong understanding of data modelling, transformations, and downstream data consumption. Experience with performance tuning for backend services or data pipelines. Proficient SQL skills for data analysis, validation, and troubleshooting. Experience working with data warehouses, data lakes, or big data platforms (e.g., Snowflake, Redshift, BigQuery, Spark). Engineering Practices & Tooling Experience with CI/CD pipelines and automated build and deployment processes. Strong experience with version control systems (Git). Experience developing in cloud environments (Azure, AWS, or GCP). Understanding of distributed systems, service communication patterns, and fault tolerance. Familiarity with containerization and orchestration (e.g., Docker, Kubernetes) is desirable. Interested? Apply here or email your CV to (url removed)
May 16, 2026
Contractor
My client are looking for a Contract Senior Software Developer to design, build, and maintain microservices-based applications and data engineering pipelines. This role requires strong hands-on development experience across Java services, backend systems, and data processing platforms, with a focus on building scalable, reliable, and maintainable solutions. The role involves close collaboration with data engineers, QA, product, and platform teams to deliver high-quality services and data products across a complex enterprise environment. Technical Skills & Experience Core Skills Strong hands-on experience developing Java-based applications in a microservices architecture. Solid experience building and maintaining backend services and APIs. Experience contributing to data engineering pipelines, including ETL/ELT workflows, batch processing, and scheduled data builds. Strong understanding of data modelling, transformations, and downstream data consumption. Experience with performance tuning for backend services or data pipelines. Proficient SQL skills for data analysis, validation, and troubleshooting. Experience working with data warehouses, data lakes, or big data platforms (e.g., Snowflake, Redshift, BigQuery, Spark). Engineering Practices & Tooling Experience with CI/CD pipelines and automated build and deployment processes. Strong experience with version control systems (Git). Experience developing in cloud environments (Azure, AWS, or GCP). Understanding of distributed systems, service communication patterns, and fault tolerance. Familiarity with containerization and orchestration (e.g., Docker, Kubernetes) is desirable. Interested? Apply here or email your CV to (url removed)
