Technical Security & Infrastructure Contractor North Yorkshire | 3 Days Onsite | 3-Month Contract | £450 per Day outside IR35 We urgently need an Infrastructure & Cyber Security Specialist to support a key security improvement programme. The successful contractor must have hands-on implementation experience with both: Sophos MDR AppCheck This is a hands-on role focused on delivering and embedding security solutions, alongside supporting wider security, compliance, and risk activities. Key Responsibilities Implement and support Sophos MDR and AppCheck. Assist with security, compliance, and risk management initiatives. Support vulnerability management and security monitoring. Review and improve security controls, processes, and documentation. Work closely with internal stakeholders to deliver security enhancements. Skills & Experience Strong Infrastructure and Systems Administration background. Proven cyber security experience in a hands-on technical role. Experience implementing and managing security tools and platforms. Knowledge of security best practices, compliance, and risk management. Ability to work independently and hit the ground running. Desirable Cyber Essentials experience. IASME knowledge. Experience within Microsoft 365 and Azure environments. Suitable backgrounds include Infrastructure Engineer, Infrastructure & Security Engineer, Senior Systems Administrator, Security Engineer, Technical Lead, or Technical Manager . If you have proven experience implementing both Sophos MDR and AppCheck and are available at short notice, we'd love to hear from you.
27/07/2026
Contractor
Technical Security & Infrastructure Contractor North Yorkshire | 3 Days Onsite | 3-Month Contract | £450 per Day outside IR35 We urgently need an Infrastructure & Cyber Security Specialist to support a key security improvement programme. The successful contractor must have hands-on implementation experience with both: Sophos MDR AppCheck This is a hands-on role focused on delivering and embedding security solutions, alongside supporting wider security, compliance, and risk activities. Key Responsibilities Implement and support Sophos MDR and AppCheck. Assist with security, compliance, and risk management initiatives. Support vulnerability management and security monitoring. Review and improve security controls, processes, and documentation. Work closely with internal stakeholders to deliver security enhancements. Skills & Experience Strong Infrastructure and Systems Administration background. Proven cyber security experience in a hands-on technical role. Experience implementing and managing security tools and platforms. Knowledge of security best practices, compliance, and risk management. Ability to work independently and hit the ground running. Desirable Cyber Essentials experience. IASME knowledge. Experience within Microsoft 365 and Azure environments. Suitable backgrounds include Infrastructure Engineer, Infrastructure & Security Engineer, Senior Systems Administrator, Security Engineer, Technical Lead, or Technical Manager . If you have proven experience implementing both Sophos MDR and AppCheck and are available at short notice, we'd love to hear from you.
Power Platform Solution Architect 6 months Remote/London - 2 days a week £625p/d - INSIDE IR35 Experienced Power BI/Power Platform Solution Architect to design, develop, and deliver modern analytics and reporting solutions using Microsoft Power Products, with a strong focus on Power BI, Power Query, Power Pivot, and data modelling. Key Responsibilities Design and develop end-to-end BI and analytics solutions using Power BI, Power Query, Power Pivot, DAX, and Microsoft Power Platform components. Define scalable Power BI architectures aligned with enterprise data strategy, governance, security, and performance requirements. Build Power BI datasets, reports, dashboards, and semantic models. Required Skills and Experience Strong expertise in Power BI Desktop and Power BI Service. Advanced experience with Power Query, Power Pivot, DAX, and semantic modelling. Extensive experience designing enterprise-scale Power BI solutions. 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.
27/07/2026
Contractor
Power Platform Solution Architect 6 months Remote/London - 2 days a week £625p/d - INSIDE IR35 Experienced Power BI/Power Platform Solution Architect to design, develop, and deliver modern analytics and reporting solutions using Microsoft Power Products, with a strong focus on Power BI, Power Query, Power Pivot, and data modelling. Key Responsibilities Design and develop end-to-end BI and analytics solutions using Power BI, Power Query, Power Pivot, DAX, and Microsoft Power Platform components. Define scalable Power BI architectures aligned with enterprise data strategy, governance, security, and performance requirements. Build Power BI datasets, reports, dashboards, and semantic models. Required Skills and Experience Strong expertise in Power BI Desktop and Power BI Service. Advanced experience with Power Query, Power Pivot, DAX, and semantic modelling. Extensive experience designing enterprise-scale Power BI solutions. 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.
Data Integration Architect Hybrid - 1 day per week in various locations in the South ie London, Bristol £640 per day inside IR35 6 month contract Active SC clearance Are you an experienced Infrastructure Engineer or Solution Architect with expertise in HVR and Oracle Cloud Infrastructure (OCI)? We're looking for a specialist to play a key role in delivering a secure, cloud-based data integration solution for a high-profile government programme. Working within a secure environment, you'll be responsible for designing and implementing an HVR-based data replication solution, enabling the migration of Legacy Oracle data feeds into a modern Oracle Cloud Infrastructure landing zone. This is an opportunity to work on a complex, business-critical programme with a strong focus on cloud architecture, data integration and security. The Role You'll be responsible for designing and delivering a secure HVR integration capability, ensuring data can be replicated reliably from Legacy Oracle environments into Oracle Cloud Infrastructure. Working closely with architects, engineers and key stakeholders, you'll help establish a production-ready landing zone that forms the foundation for future data migration and transformation. Key Responsibilities Design and deliver an HVR-based data integration architecture within Oracle Cloud Infrastructure. Produce High-Level Designs (HLDs) and Low-Level Designs (LLDs). Configure and deploy HVR target agents within OCI. Support the design of secure OCI landing zones, including storage, databases and networking. Analyse data volumes, retention requirements and capacity planning. Develop infrastructure, storage and licensing forecasts. Support governance and security approval processes. Assist with network connectivity and infrastructure changes. Oversee system testing and integration activities. Collaborate with technical teams and stakeholders to ensure successful delivery. Essential Skills & Experience Strong commercial experience with HVR (High Volume Replication) or similar enterprise data replication technologies. Proven experience designing cloud-based data integration solutions. Strong knowledge of Oracle Cloud Infrastructure (OCI) . Experience designing data landing zones and ingestion pipelines. Knowledge of secure data transfer, encryption and networking principles. Experience producing technical architecture documentation (HLDs & LLDs). Strong understanding of data storage, life cycle management and data modelling. Excellent stakeholder engagement and technical communication skills. Experience working within highly regulated or secure environments. Active SC Clearance is essential. Desirable Experience Experience within Defence, Government or MOD environments. Knowledge of Secure by Design (SbD), DEAB and MOD security governance. Hands-on experience with Oracle Database, OCI Object Storage and OCI Networking. Experience with Oracle Data Integration or Oracle AI Data Platform. Experience delivering large-scale cloud migration or data transformation programmes. Previous experience working alongside defence delivery partners.
27/07/2026
Contractor
Data Integration Architect Hybrid - 1 day per week in various locations in the South ie London, Bristol £640 per day inside IR35 6 month contract Active SC clearance Are you an experienced Infrastructure Engineer or Solution Architect with expertise in HVR and Oracle Cloud Infrastructure (OCI)? We're looking for a specialist to play a key role in delivering a secure, cloud-based data integration solution for a high-profile government programme. Working within a secure environment, you'll be responsible for designing and implementing an HVR-based data replication solution, enabling the migration of Legacy Oracle data feeds into a modern Oracle Cloud Infrastructure landing zone. This is an opportunity to work on a complex, business-critical programme with a strong focus on cloud architecture, data integration and security. The Role You'll be responsible for designing and delivering a secure HVR integration capability, ensuring data can be replicated reliably from Legacy Oracle environments into Oracle Cloud Infrastructure. Working closely with architects, engineers and key stakeholders, you'll help establish a production-ready landing zone that forms the foundation for future data migration and transformation. Key Responsibilities Design and deliver an HVR-based data integration architecture within Oracle Cloud Infrastructure. Produce High-Level Designs (HLDs) and Low-Level Designs (LLDs). Configure and deploy HVR target agents within OCI. Support the design of secure OCI landing zones, including storage, databases and networking. Analyse data volumes, retention requirements and capacity planning. Develop infrastructure, storage and licensing forecasts. Support governance and security approval processes. Assist with network connectivity and infrastructure changes. Oversee system testing and integration activities. Collaborate with technical teams and stakeholders to ensure successful delivery. Essential Skills & Experience Strong commercial experience with HVR (High Volume Replication) or similar enterprise data replication technologies. Proven experience designing cloud-based data integration solutions. Strong knowledge of Oracle Cloud Infrastructure (OCI) . Experience designing data landing zones and ingestion pipelines. Knowledge of secure data transfer, encryption and networking principles. Experience producing technical architecture documentation (HLDs & LLDs). Strong understanding of data storage, life cycle management and data modelling. Excellent stakeholder engagement and technical communication skills. Experience working within highly regulated or secure environments. Active SC Clearance is essential. Desirable Experience Experience within Defence, Government or MOD environments. Knowledge of Secure by Design (SbD), DEAB and MOD security governance. Hands-on experience with Oracle Database, OCI Object Storage and OCI Networking. Experience with Oracle Data Integration or Oracle AI Data Platform. Experience delivering large-scale cloud migration or data transformation programmes. Previous experience working alongside defence delivery partners.
Python Engineer | Front Office | Investment Banking London-based | £145-165k + discretionary bonus + benefits | Hybrid working Python, Front Office, CI/CD, Automated Testing The Role: A Front Office technology group is looking for a strong Python Engineer to help build out a core platform used across trading workflows and risk decision-making. This is a hands-on engineering role sitting close to the desk, not a detached IT build. You will be working with trading, structuring, quantitative and technology teams to improve the tooling, libraries and platform components that support product creation, analytics and Front Office execution. What You Will Be Doing: Build and improve Python-based tools, libraries and frameworks used by Front Office and quant users. Help shape platform architecture, integration patterns and the way the platform connects into wider infrastructure and user workflows. Work directly with trading, structuring, quant and technology stakeholders to turn commercial requirements into reliable software. Improve performance, scalability and reliability across business-critical platform components. Own delivery from design through release, with a strong focus on code quality, documentation and maintainability. Support users across Front Office, quant and technology teams, making sure the platform works in practice, not just in theory. What You Bring: Strong Python engineering ability, with a deep understanding of the language and its core libraries. A proper software engineering mindset: clean design, testing, source control, CI/CD and production-quality delivery. Strong computer science fundamentals and the judgement to make sensible architectural choices. Confidence working with analytical users, Front Office stakeholders and other engineers. The ability to take ownership of complex technical work and move it through to delivery. Exposure to trading technology, quant platforms or Front Office analytics would be useful, but the core requirement is strong engineering in a markets-facing environment. The Package: London-based role with very competitive investment banking compensation, including £145-165k base salary, discretionary bonus and benefits. They also have a hybrid work set up. The working environment is collaborative, technical and close to the business. The right person will get meaningful ownership of platform work that is directly used by revenue-generating teams. Vertus Partners is a specialist financial markets recruiter. Speak directly with the team for a confidential conversation.
27/07/2026
Full time
Python Engineer | Front Office | Investment Banking London-based | £145-165k + discretionary bonus + benefits | Hybrid working Python, Front Office, CI/CD, Automated Testing The Role: A Front Office technology group is looking for a strong Python Engineer to help build out a core platform used across trading workflows and risk decision-making. This is a hands-on engineering role sitting close to the desk, not a detached IT build. You will be working with trading, structuring, quantitative and technology teams to improve the tooling, libraries and platform components that support product creation, analytics and Front Office execution. What You Will Be Doing: Build and improve Python-based tools, libraries and frameworks used by Front Office and quant users. Help shape platform architecture, integration patterns and the way the platform connects into wider infrastructure and user workflows. Work directly with trading, structuring, quant and technology stakeholders to turn commercial requirements into reliable software. Improve performance, scalability and reliability across business-critical platform components. Own delivery from design through release, with a strong focus on code quality, documentation and maintainability. Support users across Front Office, quant and technology teams, making sure the platform works in practice, not just in theory. What You Bring: Strong Python engineering ability, with a deep understanding of the language and its core libraries. A proper software engineering mindset: clean design, testing, source control, CI/CD and production-quality delivery. Strong computer science fundamentals and the judgement to make sensible architectural choices. Confidence working with analytical users, Front Office stakeholders and other engineers. The ability to take ownership of complex technical work and move it through to delivery. Exposure to trading technology, quant platforms or Front Office analytics would be useful, but the core requirement is strong engineering in a markets-facing environment. The Package: London-based role with very competitive investment banking compensation, including £145-165k base salary, discretionary bonus and benefits. They also have a hybrid work set up. The working environment is collaborative, technical and close to the business. The right person will get meaningful ownership of platform work that is directly used by revenue-generating teams. Vertus Partners is a specialist financial markets recruiter. Speak directly with the team for a confidential conversation.
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13117 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
27/07/2026
Full time
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13117 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Scala Engineer Telford/Hybrid - 2 days per week onsite £470 per day inside IR35 6 months duration Are you an experienced Scala Developer looking to work on one of the UK's most significant digital transformation programmes? We're seeking a talented Scala Engineer to join a high-performing Agile team delivering modern cloud-based services as part of a major government digital programme. You'll be helping to build secure, scalable applications that improve the way millions of people interact with essential public services. This is an opportunity to work with modern technologies, collaborative engineering teams and cloud-native architectures while contributing to services used across the UK. The Role As a Scala Engineer, you'll be part of a multidisciplinary Agile team responsible for designing, developing and supporting high-performance Scala Play microservices. Working closely with Developers, Business Analysts, User Researchers, Designers and QA Engineers, you'll help deliver user-focused digital services using modern software engineering practices including Test Driven Development (TDD), pair programming and continuous integration. You'll also have the opportunity to contribute to technical decisions, share knowledge across engineering communities and help shape the future of the platform. Key Responsibilities Develop high-quality applications using Scala and the Play Framework. Build and maintain cloud-based microservices. Deliver user stories within Agile Scrum teams. Write clean, well-tested code using TDD. Develop unit and integration tests. Participate in pair programming and code reviews. Support applications through deployment and production. Contribute to CI/CD pipelines and DevOps practices. Collaborate with multidisciplinary delivery teams. Drive continuous improvement across engineering practices. Essential Skills Strong commercial experience with Scala . Experience using the Play Framework . Experience developing RESTful microservices. Strong knowledge of unit and integration testing. Experience working within Agile delivery teams. Excellent problem-solving and communication skills. Desirable Skills Cloud platform experience (AWS preferred). CI/CD and DevOps experience. Knowledge of application security principles. Experience with containerisation technologies. Public sector or large-scale enterprise project experience.
27/07/2026
Contractor
Scala Engineer Telford/Hybrid - 2 days per week onsite £470 per day inside IR35 6 months duration Are you an experienced Scala Developer looking to work on one of the UK's most significant digital transformation programmes? We're seeking a talented Scala Engineer to join a high-performing Agile team delivering modern cloud-based services as part of a major government digital programme. You'll be helping to build secure, scalable applications that improve the way millions of people interact with essential public services. This is an opportunity to work with modern technologies, collaborative engineering teams and cloud-native architectures while contributing to services used across the UK. The Role As a Scala Engineer, you'll be part of a multidisciplinary Agile team responsible for designing, developing and supporting high-performance Scala Play microservices. Working closely with Developers, Business Analysts, User Researchers, Designers and QA Engineers, you'll help deliver user-focused digital services using modern software engineering practices including Test Driven Development (TDD), pair programming and continuous integration. You'll also have the opportunity to contribute to technical decisions, share knowledge across engineering communities and help shape the future of the platform. Key Responsibilities Develop high-quality applications using Scala and the Play Framework. Build and maintain cloud-based microservices. Deliver user stories within Agile Scrum teams. Write clean, well-tested code using TDD. Develop unit and integration tests. Participate in pair programming and code reviews. Support applications through deployment and production. Contribute to CI/CD pipelines and DevOps practices. Collaborate with multidisciplinary delivery teams. Drive continuous improvement across engineering practices. Essential Skills Strong commercial experience with Scala . Experience using the Play Framework . Experience developing RESTful microservices. Strong knowledge of unit and integration testing. Experience working within Agile delivery teams. Excellent problem-solving and communication skills. Desirable Skills Cloud platform experience (AWS preferred). CI/CD and DevOps experience. Knowledge of application security principles. Experience with containerisation technologies. Public sector or large-scale enterprise project experience.
Technical Lead - Secure Digital Platform (SDP) Data & Integration Reading (Hybrid - 3 days onsite per week) £80.00 - £84.82 per hour (Inside IR35) 12-Month Contract Active SC Clearance Required Sole UK Nationals Only We're looking for an experienced Technical Lead to provide technical leadership across a high-profile Secure Digital Platform (SDP) programme supporting critical UK Defence and Aerospace initiatives. This is a senior contract opportunity for someone who can lead multidisciplinary engineering teams, shape technical strategy, and ensure the successful delivery of secure, resilient and scalable digital platforms within a highly secure environment. Essential Requirements Current Active SC Clearance (must already hold clearance). Sole UK National due to programme security requirements. Proven experience delivering technical leadership within MOD, Defence Digital, UK Aerospace, or other highly regulated Defence environments. Ability to work 3 days per week onsite in Reading. The Opportunity As the Technical Lead, you'll act as the senior technical authority across infrastructure, cloud, cyber security, DevSecOps, data engineering and enterprise platforms. You'll work closely with architects, programme leadership, security teams and engineering specialists to define technical direction, manage technical risk and drive engineering excellence across the organisation. You'll play a key role in delivering modern digital capabilities while ensuring platforms remain secure, compliant and operationally resilient. Key Responsibilities Provide technical leadership across cloud, infrastructure, cyber security and enterprise platforms. Lead and mentor multidisciplinary engineering teams including Systems Engineers, Data Engineers, Data Analysts and DevSecOps Engineers. Define engineering standards, technical governance and best practices. Oversee architecture decisions and ensure alignment with enterprise strategy. Drive adoption of DevSecOps, Platform Engineering, Infrastructure as Code and automation. Lead Azure, Kubernetes and OpenShift platform strategy and technical delivery. Oversee cloud, hybrid and on-premise infrastructure environments. Ensure security, resilience, scalability and compliance across all technology platforms. Manage technical risks, dependencies and major incident escalations. Evaluate emerging technologies and support future technology roadmaps. Work closely with business stakeholders to align technical delivery with programme objectives. Essential Skills & Experience Significant experience leading multidisciplinary engineering or infrastructure teams. Strong technical background across Microsoft Azure, enterprise infrastructure and cloud technologies. Extensive experience with hybrid cloud environments. Expertise in Kubernetes and OpenShift platforms. Strong understanding of DevOps, DevSecOps, Platform Engineering and Infrastructure as Code. Experience implementing cyber security controls and secure engineering practices. Knowledge of enterprise data platforms, data engineering and analytics ecosystems. Experience with CI/CD pipelines and automation technologies. Strong skills in Terraform, Ansible, PowerShell, Python or similar automation tools. Excellent understanding of enterprise networking, identity management and platform security. Outstanding stakeholder management, leadership and communication skills. Ability to make strategic technical decisions while balancing delivery, operational support and long-term platform evolution. Desirable Experience Defence, Aerospace or other highly regulated industry experience. Enterprise Architecture certification or equivalent experience. Experience supporting classified or secure government environments. Knowledge of AI, Machine Learning and Digital Twin technologies. Experience with multi-cloud environments. FinOps and cloud cost optimisation. Supplier and strategic technology partner management. Experience delivering large-scale digital transformation programmes. Knowledge of Power BI, Apache Superset, Grafana and enterprise reporting platforms. What's on Offer? 12-month contract £80.00 - £84.82 per hour (Inside IR35) Hybrid working with 3 days per week onsite in Reading Opportunity to provide technical leadership on cutting-edge Defence and Aerospace programmes Work with modern cloud, platform, cyber security and data technologies High-impact role influencing technical strategy across secure enterprise environments If you hold active SC Clearance , are a sole UK national , and have a proven track record of leading technical teams within Defence or Aerospace , we'd be keen to hear from you. Apply today for a confidential discussion.
27/07/2026
Contractor
Technical Lead - Secure Digital Platform (SDP) Data & Integration Reading (Hybrid - 3 days onsite per week) £80.00 - £84.82 per hour (Inside IR35) 12-Month Contract Active SC Clearance Required Sole UK Nationals Only We're looking for an experienced Technical Lead to provide technical leadership across a high-profile Secure Digital Platform (SDP) programme supporting critical UK Defence and Aerospace initiatives. This is a senior contract opportunity for someone who can lead multidisciplinary engineering teams, shape technical strategy, and ensure the successful delivery of secure, resilient and scalable digital platforms within a highly secure environment. Essential Requirements Current Active SC Clearance (must already hold clearance). Sole UK National due to programme security requirements. Proven experience delivering technical leadership within MOD, Defence Digital, UK Aerospace, or other highly regulated Defence environments. Ability to work 3 days per week onsite in Reading. The Opportunity As the Technical Lead, you'll act as the senior technical authority across infrastructure, cloud, cyber security, DevSecOps, data engineering and enterprise platforms. You'll work closely with architects, programme leadership, security teams and engineering specialists to define technical direction, manage technical risk and drive engineering excellence across the organisation. You'll play a key role in delivering modern digital capabilities while ensuring platforms remain secure, compliant and operationally resilient. Key Responsibilities Provide technical leadership across cloud, infrastructure, cyber security and enterprise platforms. Lead and mentor multidisciplinary engineering teams including Systems Engineers, Data Engineers, Data Analysts and DevSecOps Engineers. Define engineering standards, technical governance and best practices. Oversee architecture decisions and ensure alignment with enterprise strategy. Drive adoption of DevSecOps, Platform Engineering, Infrastructure as Code and automation. Lead Azure, Kubernetes and OpenShift platform strategy and technical delivery. Oversee cloud, hybrid and on-premise infrastructure environments. Ensure security, resilience, scalability and compliance across all technology platforms. Manage technical risks, dependencies and major incident escalations. Evaluate emerging technologies and support future technology roadmaps. Work closely with business stakeholders to align technical delivery with programme objectives. Essential Skills & Experience Significant experience leading multidisciplinary engineering or infrastructure teams. Strong technical background across Microsoft Azure, enterprise infrastructure and cloud technologies. Extensive experience with hybrid cloud environments. Expertise in Kubernetes and OpenShift platforms. Strong understanding of DevOps, DevSecOps, Platform Engineering and Infrastructure as Code. Experience implementing cyber security controls and secure engineering practices. Knowledge of enterprise data platforms, data engineering and analytics ecosystems. Experience with CI/CD pipelines and automation technologies. Strong skills in Terraform, Ansible, PowerShell, Python or similar automation tools. Excellent understanding of enterprise networking, identity management and platform security. Outstanding stakeholder management, leadership and communication skills. Ability to make strategic technical decisions while balancing delivery, operational support and long-term platform evolution. Desirable Experience Defence, Aerospace or other highly regulated industry experience. Enterprise Architecture certification or equivalent experience. Experience supporting classified or secure government environments. Knowledge of AI, Machine Learning and Digital Twin technologies. Experience with multi-cloud environments. FinOps and cloud cost optimisation. Supplier and strategic technology partner management. Experience delivering large-scale digital transformation programmes. Knowledge of Power BI, Apache Superset, Grafana and enterprise reporting platforms. What's on Offer? 12-month contract £80.00 - £84.82 per hour (Inside IR35) Hybrid working with 3 days per week onsite in Reading Opportunity to provide technical leadership on cutting-edge Defence and Aerospace programmes Work with modern cloud, platform, cyber security and data technologies High-impact role influencing technical strategy across secure enterprise environments If you hold active SC Clearance , are a sole UK national , and have a proven track record of leading technical teams within Defence or Aerospace , we'd be keen to hear from you. Apply today for a confidential discussion.
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
27/07/2026
Full time
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Systems Engineer - Secure Digital Platform (SDP) Data & Integration Reading (Hybrid - 3 days per week onsite) £60.00 - £66.96 per hour (Inside IR35) 12-Month Contract Active SC Clearance Required Sole UK Nationals Only We are seeking an experienced Systems Engineer to join a high-profile Secure Digital Platform (SDP) programme supporting critical UK Defence and Aerospace projects. This is an excellent opportunity to work within a secure environment, delivering and supporting modern enterprise infrastructure across cloud and on-premise platforms. Essential Requirements Active SC Clearance (must already hold current clearance). Sole UK National due to project security requirements. Previous experience within UK Defence, MOD, Defence Digital or Aerospace environments. Ability to work 3 days per week onsite in Reading . The Role Working within the Infrastructure & Platform Services team, you will help support, maintain and enhance enterprise infrastructure, cloud services and platform technologies. You'll contribute to secure, reliable and resilient services across Microsoft Azure and on-premise environments while supporting automation and modern infrastructure initiatives. Key Responsibilities Support and administer cloud and on-premises infrastructure. Maintain Windows Server and Linux environments. Deploy, configure and support Microsoft Azure services. Support virtualisation platforms including VMware and Hyper-V. Assist with Kubernetes and OpenShift platform administration. Monitor infrastructure performance, availability and capacity. Support incident, problem and change management activities. Assist with backup, disaster recovery and business continuity processes. Contribute to Infrastructure as Code (IaC) and automation initiatives. Produce and maintain technical documentation. Work closely with senior engineers to improve platform reliability and operational performance. Essential Skills & Experience Experience supporting Windows Server and/or Linux environments. Understanding of Microsoft Azure services and cloud technologies. Knowledge of networking fundamentals including TCP/IP, DNS, DHCP, VPNs and Firewalls. Experience with virtualisation technologies such as VMware or Hyper-V. Familiarity with infrastructure monitoring and operational support. Understanding of security principles and access management. Knowledge of backup, recovery and disaster recovery concepts. Strong troubleshooting and analytical skills. Excellent communication skills and the ability to work within a collaborative engineering team. Desirable Skills Microsoft Azure Fundamentals (AZ-900) and/or Azure Administrator (AZ-104). Experience with Kubernetes, OpenShift and Docker. Exposure to Terraform, Ansible or other Infrastructure as Code tools. Scripting skills in PowerShell, Bash or Python. Experience with Grafana, Prometheus or Azure Monitor. Knowledge of DevOps practices and hybrid cloud environments. ITIL Foundation certification. What's on Offer? 12-month contract £60.00 - £66.96 per hour (Inside IR35) Hybrid working with 3 days onsite in Reading Opportunity to work on cutting-edge secure digital platforms supporting critical UK Defence programmes Collaborative technical environment with modern cloud and infrastructure technologies If you hold active SC Clearance , are a sole UK national , and have experience within Defence or Aerospace , we'd love to hear from you. Apply today to discuss this opportunity in confidence.
27/07/2026
Contractor
Systems Engineer - Secure Digital Platform (SDP) Data & Integration Reading (Hybrid - 3 days per week onsite) £60.00 - £66.96 per hour (Inside IR35) 12-Month Contract Active SC Clearance Required Sole UK Nationals Only We are seeking an experienced Systems Engineer to join a high-profile Secure Digital Platform (SDP) programme supporting critical UK Defence and Aerospace projects. This is an excellent opportunity to work within a secure environment, delivering and supporting modern enterprise infrastructure across cloud and on-premise platforms. Essential Requirements Active SC Clearance (must already hold current clearance). Sole UK National due to project security requirements. Previous experience within UK Defence, MOD, Defence Digital or Aerospace environments. Ability to work 3 days per week onsite in Reading . The Role Working within the Infrastructure & Platform Services team, you will help support, maintain and enhance enterprise infrastructure, cloud services and platform technologies. You'll contribute to secure, reliable and resilient services across Microsoft Azure and on-premise environments while supporting automation and modern infrastructure initiatives. Key Responsibilities Support and administer cloud and on-premises infrastructure. Maintain Windows Server and Linux environments. Deploy, configure and support Microsoft Azure services. Support virtualisation platforms including VMware and Hyper-V. Assist with Kubernetes and OpenShift platform administration. Monitor infrastructure performance, availability and capacity. Support incident, problem and change management activities. Assist with backup, disaster recovery and business continuity processes. Contribute to Infrastructure as Code (IaC) and automation initiatives. Produce and maintain technical documentation. Work closely with senior engineers to improve platform reliability and operational performance. Essential Skills & Experience Experience supporting Windows Server and/or Linux environments. Understanding of Microsoft Azure services and cloud technologies. Knowledge of networking fundamentals including TCP/IP, DNS, DHCP, VPNs and Firewalls. Experience with virtualisation technologies such as VMware or Hyper-V. Familiarity with infrastructure monitoring and operational support. Understanding of security principles and access management. Knowledge of backup, recovery and disaster recovery concepts. Strong troubleshooting and analytical skills. Excellent communication skills and the ability to work within a collaborative engineering team. Desirable Skills Microsoft Azure Fundamentals (AZ-900) and/or Azure Administrator (AZ-104). Experience with Kubernetes, OpenShift and Docker. Exposure to Terraform, Ansible or other Infrastructure as Code tools. Scripting skills in PowerShell, Bash or Python. Experience with Grafana, Prometheus or Azure Monitor. Knowledge of DevOps practices and hybrid cloud environments. ITIL Foundation certification. What's on Offer? 12-month contract £60.00 - £66.96 per hour (Inside IR35) Hybrid working with 3 days onsite in Reading Opportunity to work on cutting-edge secure digital platforms supporting critical UK Defence programmes Collaborative technical environment with modern cloud and infrastructure technologies If you hold active SC Clearance , are a sole UK national , and have experience within Defence or Aerospace , we'd love to hear from you. Apply today to discuss this opportunity in confidence.
DWIT Technical Architect Clearance Required: Current SC (HMRC SC would be an advantage) Candidates will not be able to start until their SC clearance has been transferred/shared with HMRC Duration: 6 months Location: Telford - 2 days onsite per week IR35 Status: Capgemini Mandated PAYE only Job Description: Role Purpose The DWIT Data Architect is responsible for producing the detailed analysis, documentation and architecture artefacts needed to support the transformation of existing data feeds to AWS and the planned decommissioning of Legacy services. The role works under the direction of Lead Architects, turning complex Legacy information into clear, structured and delivery-ready outputs. It is a hands-on role focused on feed discovery, dependency analysis, documentation quality, option development and practical support to migration and decommissioning planning. Context DWIT is undertaking a significant transformation of existing data feeds and Legacy services onto AWS. The work requires disciplined discovery, consistent documentation, clear architectural judgement and practical decommissioning plans that can be executed safely across a complex client and supplier landscape. The Data Architect will work closely with Lead Architects, engineers, delivery teams, operations teams and client stakeholders to understand existing feeds, capture relevant detail, identify gaps and help shape the information needed for AWS transformation and Legacy service retirement. Core Accountabilities The Data Architect is accountable for producing accurate, clear and evidence-based architecture outputs within assigned DWIT workstreams, working to the standards and direction set by the Lead Architects. Accountabilities include: Discovering, analysing and documenting existing data feeds, interfaces, dependencies, service ownership, operational constraints and business usage. Applying agreed documentation standards, templates and quality expectations so feed analysis is consistent, traceable and usable by engineering, delivery, operations and governance teams. Supporting the definition of target-state AWS transformation approaches for existing feeds, including data movement, processing, integration, security, resilience, observability and support considerations. Contributing to decommissioning strategies for Legacy services by documenting dependencies, migration sequencing, risks, parallel running needs, cutover considerations and retirement evidence. Using AI-enabled tools to accelerate feed discovery, documentation, code and metadata analysis, dependency identification and production of draft architecture artefacts, with appropriate review by Lead Architects. Capturing assumptions, risks, issues and decisions clearly, ensuring they are visible to Lead Architects and supported by evidence where possible. Working with Lead Architects, delivery leads, engineers, operations teams, client stakeholders and third parties to gather information, validate findings and support realistic transformation and decommissioning plans. Preparing architecture artefacts for review, including feed documentation, dependency maps, option summaries, impact assessments, risk logs and design inputs. Communicating findings clearly and escalating gaps, conflicts, risks or incomplete information that could affect delivery confidence. Expected Outcomes The role is expected to produce clear, usable outputs that support Lead Architects, engineering teams and delivery governance across the DWIT transformation. Expected outcomes include: Accurate and complete documentation of assigned feeds, interfaces, dependencies, service owners, schedules, consumers and operational constraints. Clear analysis packs that support AWS transformation options, including current-state findings, gaps, risks, assumptions and candidate target patterns. Decommissioning inputs that identify dependencies, sequencing considerations, controls, evidence requirements and conditions for retiring Legacy services. Architecture artefacts that are structured, evidence-based and ready for review by Lead Architects and programme governance. Practical use of AI-enabled approaches to improve the speed and consistency of discovery and documentation, with outputs checked and refined before use. Skills and Experience The role requires a hands-on data architect with experience analysing complex Legacy environments, documenting data flows and supporting cloud transformation or migration activity. Required experience includes: Producing architecture documentation and analysis outputs to agreed standards, with enough clarity and evidence to support review, decision-making and delivery planning. Documenting and analysing complex Legacy data feeds, interfaces, schedules, source systems, consumers, business rules, service dependencies and operational constraints. Supporting migration and transformation approaches for AWS-based data services, including data pipelines, storage, processing, integration, security, monitoring and support considerations. Contributing to decommissioning planning for Legacy platforms and services, including dependency analysis, migration sequencing, risk identification and evidence-based retirement decisions. Working within architecture governance in a large, multi-supplier environment, including preparing artefacts for design assurance, decision control, risk management and alignment to enterprise standards. Using AI and automation tools to improve the speed and quality of discovery, documentation, analysis and architecture production, with appropriate checking and evidence. Experience across on-premise, cloud or hybrid environments, with understanding of the practical challenges involved in transforming Legacy services to AWS. Clear communication and facilitation skills, especially when gathering information, validating findings and explaining Legacy dependencies or transformation impacts. Ways of Working The Data Architect is expected to operate as a hands-on contributor within the architecture team, working to the direction of Lead Architects while taking ownership for the quality and completeness of assigned outputs. Expected ways of working include: Working to priorities, standards, expected outputs, review points and delivery milestones set by the Lead Architects. Working collaboratively with architects, engineers, operations, delivery teams, client stakeholders and third parties to gather information, validate findings and resolve gaps. Identifying incomplete analysis, weak assumptions, unclear decisions or documentation gaps and raising them early for resolution. Communicating findings in plain English, with clear evidence, assumptions, risks and recommended next steps. Maintaining pace and quality where documentation gaps, Legacy complexity or changing priorities create ambiguity. Use of AI and Automation The role should use AI and automation to improve the speed, consistency and quality of discovery, documentation and analysis. AI should be used as an accelerator, with outputs checked before they are used to support architecture decisions or delivery artefacts. Expected uses include: Accelerating analysis of Legacy code, configuration, metadata, schedules, schemas, interface definitions and existing documentation. Supporting feed documentation, dependency mapping, option development, risk identification and production of architecture artefacts. Reusing agreed prompts, templates, patterns and review checklists provided by Lead Architects or the wider DWIT architecture team. Checking, refining and evidencing AI-generated outputs before they are shared for review or used in architecture artefacts.
27/07/2026
Contractor
DWIT Technical Architect Clearance Required: Current SC (HMRC SC would be an advantage) Candidates will not be able to start until their SC clearance has been transferred/shared with HMRC Duration: 6 months Location: Telford - 2 days onsite per week IR35 Status: Capgemini Mandated PAYE only Job Description: Role Purpose The DWIT Data Architect is responsible for producing the detailed analysis, documentation and architecture artefacts needed to support the transformation of existing data feeds to AWS and the planned decommissioning of Legacy services. The role works under the direction of Lead Architects, turning complex Legacy information into clear, structured and delivery-ready outputs. It is a hands-on role focused on feed discovery, dependency analysis, documentation quality, option development and practical support to migration and decommissioning planning. Context DWIT is undertaking a significant transformation of existing data feeds and Legacy services onto AWS. The work requires disciplined discovery, consistent documentation, clear architectural judgement and practical decommissioning plans that can be executed safely across a complex client and supplier landscape. The Data Architect will work closely with Lead Architects, engineers, delivery teams, operations teams and client stakeholders to understand existing feeds, capture relevant detail, identify gaps and help shape the information needed for AWS transformation and Legacy service retirement. Core Accountabilities The Data Architect is accountable for producing accurate, clear and evidence-based architecture outputs within assigned DWIT workstreams, working to the standards and direction set by the Lead Architects. Accountabilities include: Discovering, analysing and documenting existing data feeds, interfaces, dependencies, service ownership, operational constraints and business usage. Applying agreed documentation standards, templates and quality expectations so feed analysis is consistent, traceable and usable by engineering, delivery, operations and governance teams. Supporting the definition of target-state AWS transformation approaches for existing feeds, including data movement, processing, integration, security, resilience, observability and support considerations. Contributing to decommissioning strategies for Legacy services by documenting dependencies, migration sequencing, risks, parallel running needs, cutover considerations and retirement evidence. Using AI-enabled tools to accelerate feed discovery, documentation, code and metadata analysis, dependency identification and production of draft architecture artefacts, with appropriate review by Lead Architects. Capturing assumptions, risks, issues and decisions clearly, ensuring they are visible to Lead Architects and supported by evidence where possible. Working with Lead Architects, delivery leads, engineers, operations teams, client stakeholders and third parties to gather information, validate findings and support realistic transformation and decommissioning plans. Preparing architecture artefacts for review, including feed documentation, dependency maps, option summaries, impact assessments, risk logs and design inputs. Communicating findings clearly and escalating gaps, conflicts, risks or incomplete information that could affect delivery confidence. Expected Outcomes The role is expected to produce clear, usable outputs that support Lead Architects, engineering teams and delivery governance across the DWIT transformation. Expected outcomes include: Accurate and complete documentation of assigned feeds, interfaces, dependencies, service owners, schedules, consumers and operational constraints. Clear analysis packs that support AWS transformation options, including current-state findings, gaps, risks, assumptions and candidate target patterns. Decommissioning inputs that identify dependencies, sequencing considerations, controls, evidence requirements and conditions for retiring Legacy services. Architecture artefacts that are structured, evidence-based and ready for review by Lead Architects and programme governance. Practical use of AI-enabled approaches to improve the speed and consistency of discovery and documentation, with outputs checked and refined before use. Skills and Experience The role requires a hands-on data architect with experience analysing complex Legacy environments, documenting data flows and supporting cloud transformation or migration activity. Required experience includes: Producing architecture documentation and analysis outputs to agreed standards, with enough clarity and evidence to support review, decision-making and delivery planning. Documenting and analysing complex Legacy data feeds, interfaces, schedules, source systems, consumers, business rules, service dependencies and operational constraints. Supporting migration and transformation approaches for AWS-based data services, including data pipelines, storage, processing, integration, security, monitoring and support considerations. Contributing to decommissioning planning for Legacy platforms and services, including dependency analysis, migration sequencing, risk identification and evidence-based retirement decisions. Working within architecture governance in a large, multi-supplier environment, including preparing artefacts for design assurance, decision control, risk management and alignment to enterprise standards. Using AI and automation tools to improve the speed and quality of discovery, documentation, analysis and architecture production, with appropriate checking and evidence. Experience across on-premise, cloud or hybrid environments, with understanding of the practical challenges involved in transforming Legacy services to AWS. Clear communication and facilitation skills, especially when gathering information, validating findings and explaining Legacy dependencies or transformation impacts. Ways of Working The Data Architect is expected to operate as a hands-on contributor within the architecture team, working to the direction of Lead Architects while taking ownership for the quality and completeness of assigned outputs. Expected ways of working include: Working to priorities, standards, expected outputs, review points and delivery milestones set by the Lead Architects. Working collaboratively with architects, engineers, operations, delivery teams, client stakeholders and third parties to gather information, validate findings and resolve gaps. Identifying incomplete analysis, weak assumptions, unclear decisions or documentation gaps and raising them early for resolution. Communicating findings in plain English, with clear evidence, assumptions, risks and recommended next steps. Maintaining pace and quality where documentation gaps, Legacy complexity or changing priorities create ambiguity. Use of AI and Automation The role should use AI and automation to improve the speed, consistency and quality of discovery, documentation and analysis. AI should be used as an accelerator, with outputs checked before they are used to support architecture decisions or delivery artefacts. Expected uses include: Accelerating analysis of Legacy code, configuration, metadata, schedules, schemas, interface definitions and existing documentation. Supporting feed documentation, dependency mapping, option development, risk identification and production of architecture artefacts. Reusing agreed prompts, templates, patterns and review checklists provided by Lead Architects or the wider DWIT architecture team. Checking, refining and evidencing AI-generated outputs before they are shared for review or used in architecture artefacts.
Mandatory Skillsets: Python, Snowflake, dbt, dremio, glue jobs, Apache iceberg, AWS,SQL Key Responsibilities: Architect and Develop : Contribute to the platform's architectural design and build integration, modelling, data persistence, and analytical systems. Data Pipelines : Implement, maintain, and test robust data pipelines. Metadata Management : Develop and manage metadata processes and tools. Performance Monitoring : Ensure the stability and performance of data pipelines. Data Quality : Implement tools for data curation, metadata management, and quality assurance. Collaboration : Engage with business and technology teams to align the platform with organizational goals. Preferred Technical Skills: Programming : 5+ years of experience in Python/Java. Cloud Expertise : Strong understanding of AWS services (eg, Lambda, Step Functions, ECS). Data Platforms : Hands-on experience with Snowflake and data stack technologies like Apache Iceberg and Spark. Workflow Orchestration : Exposure to tools like Apache Airflow, Prefect, Dagster, or DBT. Data Services : Familiarity with AWS Glue, Lake Formation, EMR, EventBridge, Athena, and similar services. Metadata Tools : Experience with tools like Amundsen, Atlas, DataHub, OpenDataDiscovery, or Marquez. RDBMS : Knowledge of PostgreSQL is a plus. Industry Experience : Proven experience building enterprise-wide data and analytics systems, preferably in financial services or asset management.
27/07/2026
Contractor
Mandatory Skillsets: Python, Snowflake, dbt, dremio, glue jobs, Apache iceberg, AWS,SQL Key Responsibilities: Architect and Develop : Contribute to the platform's architectural design and build integration, modelling, data persistence, and analytical systems. Data Pipelines : Implement, maintain, and test robust data pipelines. Metadata Management : Develop and manage metadata processes and tools. Performance Monitoring : Ensure the stability and performance of data pipelines. Data Quality : Implement tools for data curation, metadata management, and quality assurance. Collaboration : Engage with business and technology teams to align the platform with organizational goals. Preferred Technical Skills: Programming : 5+ years of experience in Python/Java. Cloud Expertise : Strong understanding of AWS services (eg, Lambda, Step Functions, ECS). Data Platforms : Hands-on experience with Snowflake and data stack technologies like Apache Iceberg and Spark. Workflow Orchestration : Exposure to tools like Apache Airflow, Prefect, Dagster, or DBT. Data Services : Familiarity with AWS Glue, Lake Formation, EMR, EventBridge, Athena, and similar services. Metadata Tools : Experience with tools like Amundsen, Atlas, DataHub, OpenDataDiscovery, or Marquez. RDBMS : Knowledge of PostgreSQL is a plus. Industry Experience : Proven experience building enterprise-wide data and analytics systems, preferably in financial services or asset management.
Senior Python Software Engineer Up to £120,000 London | Python | Java | Cloud | Real Time Distributed Systems | Bonus & Excellent Benefits Are you an experienced Back End engineer who enjoys solving complex technical challenges in high-performance, Real Time environments? We're partnering with an innovative technology business that's investing heavily in its engineering capability as it continues to scale. They're looking for a Senior Software Engineer to join a collaborative team developing highly available, cloud-native platforms that process large volumes of Real Time data. This is an opportunity to work on technically challenging systems where performance, scalability and reliability are critical. You'll have the chance to influence architecture, contribute to technical decision-making and work alongside talented engineers in a fast-paced environment. The Role You'll play a key role in designing and developing modern Back End systems that process live data, integrate with external platforms and support business-critical applications. Responsibilities include: Designing and developing scalable Back End services using Python and Java Building cloud-native, event-driven applications Developing integrations with third-party platforms and APIs Designing and optimising Real Time data processing pipelines Improving application performance, resilience and scalability Working closely with technical stakeholders to deliver high-quality software Contributing to infrastructure, deployment and continuous improvement initiatives Technology You'll be working with a modern engineering stack including: Python Java Google Cloud Platform (GCP) Docker REST APIs Event-driven architecture Streaming data Distributed systems Real Time data processing About You We're looking for engineers with experience in: Commercial Python development Java development Cloud platforms (GCP preferred, although AWS or Azure experience is also valuable) Docker and containerised applications REST API development Event-driven or distributed systems Real Time or high-performance Back End applications Designing scalable data pipelines Desirable Experience Experience working within high-performance, highly transactional environments would be advantageous, including: Financial services or electronic trading platforms Sports betting, iGaming or wagering technology Trading or market data systems Low-latency applications and streaming architectures FIX Protocol or electronic trading integrations (particularly for candidates from financial services) What's on Offer? Competitive salary based on experience (Up to £120,000) Annual performance bonus Private healthcare and dental cover Pension 25 days' holiday plus bank holidays Wellness and gym membership Excellent office facilities, including complimentary breakfasts and regular team lunches A collaborative, engineering-led culture where you'll have genuine ownership and the opportunity to make a real impact If you're looking for an opportunity to work on complex Back End systems in a modern engineering environment, we'd love to hear from you. Apply now or get in touch for a confidential discussion. RSG Plc is acting as an Employment Agency in relation to this vacancy.
27/07/2026
Full time
Senior Python Software Engineer Up to £120,000 London | Python | Java | Cloud | Real Time Distributed Systems | Bonus & Excellent Benefits Are you an experienced Back End engineer who enjoys solving complex technical challenges in high-performance, Real Time environments? We're partnering with an innovative technology business that's investing heavily in its engineering capability as it continues to scale. They're looking for a Senior Software Engineer to join a collaborative team developing highly available, cloud-native platforms that process large volumes of Real Time data. This is an opportunity to work on technically challenging systems where performance, scalability and reliability are critical. You'll have the chance to influence architecture, contribute to technical decision-making and work alongside talented engineers in a fast-paced environment. The Role You'll play a key role in designing and developing modern Back End systems that process live data, integrate with external platforms and support business-critical applications. Responsibilities include: Designing and developing scalable Back End services using Python and Java Building cloud-native, event-driven applications Developing integrations with third-party platforms and APIs Designing and optimising Real Time data processing pipelines Improving application performance, resilience and scalability Working closely with technical stakeholders to deliver high-quality software Contributing to infrastructure, deployment and continuous improvement initiatives Technology You'll be working with a modern engineering stack including: Python Java Google Cloud Platform (GCP) Docker REST APIs Event-driven architecture Streaming data Distributed systems Real Time data processing About You We're looking for engineers with experience in: Commercial Python development Java development Cloud platforms (GCP preferred, although AWS or Azure experience is also valuable) Docker and containerised applications REST API development Event-driven or distributed systems Real Time or high-performance Back End applications Designing scalable data pipelines Desirable Experience Experience working within high-performance, highly transactional environments would be advantageous, including: Financial services or electronic trading platforms Sports betting, iGaming or wagering technology Trading or market data systems Low-latency applications and streaming architectures FIX Protocol or electronic trading integrations (particularly for candidates from financial services) What's on Offer? Competitive salary based on experience (Up to £120,000) Annual performance bonus Private healthcare and dental cover Pension 25 days' holiday plus bank holidays Wellness and gym membership Excellent office facilities, including complimentary breakfasts and regular team lunches A collaborative, engineering-led culture where you'll have genuine ownership and the opportunity to make a real impact If you're looking for an opportunity to work on complex Back End systems in a modern engineering environment, we'd love to hear from you. Apply now or get in touch for a confidential discussion. RSG Plc is acting as an Employment Agency in relation to this vacancy.
Observability Engineer - £568 per day - 6 months - Telford - 2 days min per month As a Dynatrace/Observability Engineer, you will be responsible for designing, implementing, and supporting monitoring solutions across a range of technologies and platforms, ensuring service stability, performance insight, and proactive incident management. Key Responsibilities: Translate high-level monitoring and non-functional requirements (NFRs) into actionable configurations in Dynatrace. Deliver full-stack observability solutions, including application-aware network performance monitoring (NPM), synthetics, log analytics, and infrastructure metrics. Collaborate with architects and project teams to integrate monitoring into solution designs and test strategies. Maintain and enhance dashboards, alerts, and visualisations to support proactive service management. Participate in continuous improvement initiatives and tooling exploitation to enhance operational efficiency within immature teams. Required Skills and Experience: Strong experience configuring Dynatrace alerts, workflows, extensions, DQL Queries Strong understanding and experience with implementing and using APM tooling including Dynatrace Experience delivering Dynatrace configuration using automation (Terraform or Monaco) Hands-on experience with monitoring tools including Dynatrace Strong understanding and experience in SRE principals and methodologies Strong understanding of Observability within a complex tech stack. Ability to analyse and resolve complex technical problems and document solutions effectively. Understanding of log and synthetic monitoring principles Able to work closely with technical and non-technical stakeholders, to bring them along on a journey of change Excellent communication and collaboration skills, with a proactive and detail-oriented mindset. Mandatory Certifications: Dynatrace Associate Certification This role requires the successful candidate to undergo and be eligible for UK Security Vetting at SC level. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements ( 5 years in the UK). If applicable, reserved post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds. More details relating to UK Security Clearance can be found here: United Kingdom Security Vetting: clearance levels - GOV.UK Observability Engineer - £568 per day - 6 months - Telford - 2 days min per month Damia Group 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 our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Should the role require the successful candidate to undergo and be eligible for UK Security Vetting. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, Reserved Post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.
27/07/2026
Contractor
Observability Engineer - £568 per day - 6 months - Telford - 2 days min per month As a Dynatrace/Observability Engineer, you will be responsible for designing, implementing, and supporting monitoring solutions across a range of technologies and platforms, ensuring service stability, performance insight, and proactive incident management. Key Responsibilities: Translate high-level monitoring and non-functional requirements (NFRs) into actionable configurations in Dynatrace. Deliver full-stack observability solutions, including application-aware network performance monitoring (NPM), synthetics, log analytics, and infrastructure metrics. Collaborate with architects and project teams to integrate monitoring into solution designs and test strategies. Maintain and enhance dashboards, alerts, and visualisations to support proactive service management. Participate in continuous improvement initiatives and tooling exploitation to enhance operational efficiency within immature teams. Required Skills and Experience: Strong experience configuring Dynatrace alerts, workflows, extensions, DQL Queries Strong understanding and experience with implementing and using APM tooling including Dynatrace Experience delivering Dynatrace configuration using automation (Terraform or Monaco) Hands-on experience with monitoring tools including Dynatrace Strong understanding and experience in SRE principals and methodologies Strong understanding of Observability within a complex tech stack. Ability to analyse and resolve complex technical problems and document solutions effectively. Understanding of log and synthetic monitoring principles Able to work closely with technical and non-technical stakeholders, to bring them along on a journey of change Excellent communication and collaboration skills, with a proactive and detail-oriented mindset. Mandatory Certifications: Dynatrace Associate Certification This role requires the successful candidate to undergo and be eligible for UK Security Vetting at SC level. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements ( 5 years in the UK). If applicable, reserved post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds. More details relating to UK Security Clearance can be found here: United Kingdom Security Vetting: clearance levels - GOV.UK Observability Engineer - £568 per day - 6 months - Telford - 2 days min per month Damia Group 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 our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Should the role require the successful candidate to undergo and be eligible for UK Security Vetting. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, Reserved Post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.
Infrastructure & Cloud Architect London | Hybrid Competitive base with bonus and excellent Benefits Unique opportunity to play a key role in shaping and evolving the hybrid on-prem/Azure environment a leading global financial services organisation. This role focuses on platform architecture rather than application design. You will help define and implement the core Azure infrastructure foundations that support enterprise workloads across the organisation. The position involves designing secure, scalable and well-governed cloud environments across hybrid infrastructure, working closely with engineering, security and DevOps teams to ensure architecture is delivered in practice. Key responsibilities: Designing Azure Landing Zones and platform architecture Defining Azure networking architecture (hub-spoke, segmentation, private connectivity) Designing hybrid connectivity between on-premises environments and Azure Develop comprehensive cloud and infrastructure solutions, including hybrid and multi-cloud environments, in line with organisational goals. Lead the deployment and configuration of infrastructure platforms (eg, Azure, VMware, Cisco), ensuring seamless integration with existing systems. Monitor and analyse infrastructure performance, recommending improvements and proactively resolving issues. Optimise resource utilisation to control costs, including budgeting, forecasting, and vendor management. Work closely with the DevOps, security, and operations teams to support deployments and ongoing infrastructure projects. Evaluate emerging technologies, driving adoption where beneficial to the organisation. Key requirements: Azure Landing Zones Azure networking (Private Link, DNS, hybrid connectivity) Significant experience designing distributed enterprise Cloud Native systems in hybrid environments. Expertise in Azure IaaS and PaaS services, and virtualisation technologies. Strong understanding of networking, storage, security, and disaster recovery. Proven track record in using Infrastructure as Code (IaC) tools such as Ansible and Terraform Experience with Configuration as Code, Policy as Code and Architecture as Code. Proven ability in strategic planning and cloud transformation initiatives. Desirable: Diagrams as code, ie C4 Modelling and Structurizr, Mermaid, Plantuml, Desirable: Threat Modelling and Secure by design principles. Desirable: Understanding of ZTNA. This opportunity offers the chance to influence the design and evolution of large-scale Azure infrastructure platforms within a prestigious, global organisation.
27/07/2026
Full time
Infrastructure & Cloud Architect London | Hybrid Competitive base with bonus and excellent Benefits Unique opportunity to play a key role in shaping and evolving the hybrid on-prem/Azure environment a leading global financial services organisation. This role focuses on platform architecture rather than application design. You will help define and implement the core Azure infrastructure foundations that support enterprise workloads across the organisation. The position involves designing secure, scalable and well-governed cloud environments across hybrid infrastructure, working closely with engineering, security and DevOps teams to ensure architecture is delivered in practice. Key responsibilities: Designing Azure Landing Zones and platform architecture Defining Azure networking architecture (hub-spoke, segmentation, private connectivity) Designing hybrid connectivity between on-premises environments and Azure Develop comprehensive cloud and infrastructure solutions, including hybrid and multi-cloud environments, in line with organisational goals. Lead the deployment and configuration of infrastructure platforms (eg, Azure, VMware, Cisco), ensuring seamless integration with existing systems. Monitor and analyse infrastructure performance, recommending improvements and proactively resolving issues. Optimise resource utilisation to control costs, including budgeting, forecasting, and vendor management. Work closely with the DevOps, security, and operations teams to support deployments and ongoing infrastructure projects. Evaluate emerging technologies, driving adoption where beneficial to the organisation. Key requirements: Azure Landing Zones Azure networking (Private Link, DNS, hybrid connectivity) Significant experience designing distributed enterprise Cloud Native systems in hybrid environments. Expertise in Azure IaaS and PaaS services, and virtualisation technologies. Strong understanding of networking, storage, security, and disaster recovery. Proven track record in using Infrastructure as Code (IaC) tools such as Ansible and Terraform Experience with Configuration as Code, Policy as Code and Architecture as Code. Proven ability in strategic planning and cloud transformation initiatives. Desirable: Diagrams as code, ie C4 Modelling and Structurizr, Mermaid, Plantuml, Desirable: Threat Modelling and Secure by design principles. Desirable: Understanding of ZTNA. This opportunity offers the chance to influence the design and evolution of large-scale Azure infrastructure platforms within a prestigious, global organisation.
Azure Platform Engineer- Health tech experience needed| 6 month initial contract | £500-550 OutsideIR35 | Remote For a start up company in the Health tech industry, where you will be working closely with the architect working on a greenfield project building & developing their platform designs. Key Requirements: Strong experience with containerisation technologies, (AKS preferred), with a proven track record of building, deploying and supporting scalable production environments. Hands-on experience operating within Microsoft Azure environments, with a solid understanding of cloud infrastructure, networking, security, identity management and platform services. Strong Infrastructure as Code expertise using Terraform and GitHub Actions for automation, CI/CD and environment provisioning. Terraform certification or relevant cloud certifications would be highly desirable. Previous experience within the HealthTech, MedTech, NHS or highly regulated sectors, with an understanding of compliance, security and operational requirements in healthcare environments. Excellent observability and monitoring experience, including the implementation and management of tooling such as Grafana or Prometheus Azure Platform Engineer- Health tech experience needed |6 month initial contract | £500-550 OutsideIR35 | Remote Unfortunately there is no sponsership offered for this role.
27/07/2026
Contractor
Azure Platform Engineer- Health tech experience needed| 6 month initial contract | £500-550 OutsideIR35 | Remote For a start up company in the Health tech industry, where you will be working closely with the architect working on a greenfield project building & developing their platform designs. Key Requirements: Strong experience with containerisation technologies, (AKS preferred), with a proven track record of building, deploying and supporting scalable production environments. Hands-on experience operating within Microsoft Azure environments, with a solid understanding of cloud infrastructure, networking, security, identity management and platform services. Strong Infrastructure as Code expertise using Terraform and GitHub Actions for automation, CI/CD and environment provisioning. Terraform certification or relevant cloud certifications would be highly desirable. Previous experience within the HealthTech, MedTech, NHS or highly regulated sectors, with an understanding of compliance, security and operational requirements in healthcare environments. Excellent observability and monitoring experience, including the implementation and management of tooling such as Grafana or Prometheus Azure Platform Engineer- Health tech experience needed |6 month initial contract | £500-550 OutsideIR35 | Remote Unfortunately there is no sponsership offered for this role.
What You'll Do We are seeking a Solutions Engineer - Cloud + AI Infrastructure to join our sales team in the UK&I. In this role you will help drive the adoption of Cisco's data center, cloud, and AI ready infrastructure solutions across industries. You will partner with customers to understand their modernization goals, support the design of tailored platform architectures, and demonstrate how Cisco's compute, networking, and cloud native technologies accelerate their business. You'll bring strong infrastructure foundations and a drive to become a trusted technical advisor to customers. You should be comfortable translating technical concepts for diverse audiences and public speaking. Who You'll Work With The Cloud + AI Infrastructure team delivers one scalable strategy with local execution for data center transformation and growth. We are the worldwide go to market compute and data center networking engine - capturing market transitions and enabling sellers to expand growth for customers and Cisco. Alongside our colleagues, we build the sales strategy, activate sellers and technical communities, and accelerate selling. Who You Are You build awareness, foster education, and drive energy for platform modernization, cloud native infrastructure, and AI ready data centers with internal teams, partners, and customers. You act as the link between technical teams, account teams, and partners/customers. You showcase infrastructure solutions, articulate their value, and contribute to architectural discussions. You play a key role in the design, and promotion of modernization solutions and in solving customer challenges. Travel may be required for customer meetings and industry events. Minimum Qualifications 3+ years of technical presales, solutions engineering, or relevant hands on infrastructure experience across compute, storage, and data center networking. Hands on experience with virtualization and platform modernization (e.g., VMware/VCF, RedHat OpenShift, Nutanix, KVM, hypervisor migration strategies). Familiarity with enterprise storage concepts and platforms (e.g., NVMe, NFS, object storage; NetApp, Everpure, or comparable). Solid understanding of data center networking fundamentals (L2/L3, VXLAN/EVPN, fabric design) and how compute, storage, and network integrate. Foundational understanding of Kubernetes and cloud native infrastructure- core concepts, deployment models, and how containerized workloads are managed. Proficiency with infrastructure automation and scripting (e.g., Python, Ansible, Terraform) and version control (Git/GitHub). Preferred Qualifications Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field; advanced degree is a plus. Excellent presentation skills with the ability to deliver engaging workshops to both technical and non technical audiences on infrastructure and modernization topics. Experience with the Cisco data center portfolio (UCS, Nexus/ACI, Intersight, HyperFabric) or comparable competitive platforms. Exposure to cloud native networking and eBPF technologies (e.g., Cilium/Isovalent), GitOps workflows (ArgoCD/Flux), Helm, and service mesh. Familiarity with AI ready infrastructure: GPU compute, high performance fabrics (RoCE/InfiniBand), AI/ML reference architectures (e.g., Cisco + NVIDIA), and storage for AI workloads. Relevant industry certifications (e.g., CCNP/CCIE Data Center, VMware VCP, CKA/CKAD, or major cloud associate/professional certs) Familiarity with data center observability and monitoring tooling (e.g., Prometheus, Grafana, ThousandEyes, Splunk). Understanding of infrastructure security and zero trust principles in data center / cloud native environments (segmentation, workload identity, policy enforcement). Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.
27/07/2026
Full time
What You'll Do We are seeking a Solutions Engineer - Cloud + AI Infrastructure to join our sales team in the UK&I. In this role you will help drive the adoption of Cisco's data center, cloud, and AI ready infrastructure solutions across industries. You will partner with customers to understand their modernization goals, support the design of tailored platform architectures, and demonstrate how Cisco's compute, networking, and cloud native technologies accelerate their business. You'll bring strong infrastructure foundations and a drive to become a trusted technical advisor to customers. You should be comfortable translating technical concepts for diverse audiences and public speaking. Who You'll Work With The Cloud + AI Infrastructure team delivers one scalable strategy with local execution for data center transformation and growth. We are the worldwide go to market compute and data center networking engine - capturing market transitions and enabling sellers to expand growth for customers and Cisco. Alongside our colleagues, we build the sales strategy, activate sellers and technical communities, and accelerate selling. Who You Are You build awareness, foster education, and drive energy for platform modernization, cloud native infrastructure, and AI ready data centers with internal teams, partners, and customers. You act as the link between technical teams, account teams, and partners/customers. You showcase infrastructure solutions, articulate their value, and contribute to architectural discussions. You play a key role in the design, and promotion of modernization solutions and in solving customer challenges. Travel may be required for customer meetings and industry events. Minimum Qualifications 3+ years of technical presales, solutions engineering, or relevant hands on infrastructure experience across compute, storage, and data center networking. Hands on experience with virtualization and platform modernization (e.g., VMware/VCF, RedHat OpenShift, Nutanix, KVM, hypervisor migration strategies). Familiarity with enterprise storage concepts and platforms (e.g., NVMe, NFS, object storage; NetApp, Everpure, or comparable). Solid understanding of data center networking fundamentals (L2/L3, VXLAN/EVPN, fabric design) and how compute, storage, and network integrate. Foundational understanding of Kubernetes and cloud native infrastructure- core concepts, deployment models, and how containerized workloads are managed. Proficiency with infrastructure automation and scripting (e.g., Python, Ansible, Terraform) and version control (Git/GitHub). Preferred Qualifications Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field; advanced degree is a plus. Excellent presentation skills with the ability to deliver engaging workshops to both technical and non technical audiences on infrastructure and modernization topics. Experience with the Cisco data center portfolio (UCS, Nexus/ACI, Intersight, HyperFabric) or comparable competitive platforms. Exposure to cloud native networking and eBPF technologies (e.g., Cilium/Isovalent), GitOps workflows (ArgoCD/Flux), Helm, and service mesh. Familiarity with AI ready infrastructure: GPU compute, high performance fabrics (RoCE/InfiniBand), AI/ML reference architectures (e.g., Cisco + NVIDIA), and storage for AI workloads. Relevant industry certifications (e.g., CCNP/CCIE Data Center, VMware VCP, CKA/CKAD, or major cloud associate/professional certs) Familiarity with data center observability and monitoring tooling (e.g., Prometheus, Grafana, ThousandEyes, Splunk). Understanding of infrastructure security and zero trust principles in data center / cloud native environments (segmentation, workload identity, policy enforcement). Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.
Data Architect London (Hybrid) £60,000-£100,000 + bonus + benefits Do you enjoy solving complex data challenges and helping organisations turn data into a genuine business asset? We re looking for a Data Architect to join a growing consultancy that specialises in delivering large-scale transformation programmes for some of the UK's most recognised organisations within financial services and other regulated industries. This isn't a role where you'll simply produce diagrams and hand them over. you'll work directly with clients to understand their challenges, shape their data strategy, and design modern cloud-based architectures that have a real impact on the way they operate. What you'll be doing Designing enterprise-scale data platforms and modern cloud architectures Working with clients to translate business objectives into practical technical solutions Shaping data strategies, governance frameworks and architecture roadmaps Collaborating with engineers, analysts and senior stakeholders to deliver successful outcomes Advising on modern technologies including cloud platforms, data lakes, lakehouses and AI-enabled solutions What we re looking for You'll probably already be working as a Data Architect , or perhaps you re a Senior Data Engineer or Technical Consultant who's naturally moved into architecture and enjoys working closely with clients. You'll have experience with: Modern cloud platforms such as Azure, AWS, GCP or Snowflake Data modelling, data governance and enterprise data architecture SQL and modern data engineering principles Designing scalable, secure data solutions Working with senior business and technical stakeholders Experience within Financial Services or another regulated industry would be a real advantage, but isn't essential. Why apply? you'll join a collaborative consulting environment where you'll have genuine influence over architecture decisions, work on enterprise-scale transformation programmes, and be encouraged to continually develop your technical and consulting skills. If you're looking for a role where you can combine strategy, technology and client engagement, we'd love to hear from you.
27/07/2026
Full time
Data Architect London (Hybrid) £60,000-£100,000 + bonus + benefits Do you enjoy solving complex data challenges and helping organisations turn data into a genuine business asset? We re looking for a Data Architect to join a growing consultancy that specialises in delivering large-scale transformation programmes for some of the UK's most recognised organisations within financial services and other regulated industries. This isn't a role where you'll simply produce diagrams and hand them over. you'll work directly with clients to understand their challenges, shape their data strategy, and design modern cloud-based architectures that have a real impact on the way they operate. What you'll be doing Designing enterprise-scale data platforms and modern cloud architectures Working with clients to translate business objectives into practical technical solutions Shaping data strategies, governance frameworks and architecture roadmaps Collaborating with engineers, analysts and senior stakeholders to deliver successful outcomes Advising on modern technologies including cloud platforms, data lakes, lakehouses and AI-enabled solutions What we re looking for You'll probably already be working as a Data Architect , or perhaps you re a Senior Data Engineer or Technical Consultant who's naturally moved into architecture and enjoys working closely with clients. You'll have experience with: Modern cloud platforms such as Azure, AWS, GCP or Snowflake Data modelling, data governance and enterprise data architecture SQL and modern data engineering principles Designing scalable, secure data solutions Working with senior business and technical stakeholders Experience within Financial Services or another regulated industry would be a real advantage, but isn't essential. Why apply? you'll join a collaborative consulting environment where you'll have genuine influence over architecture decisions, work on enterprise-scale transformation programmes, and be encouraged to continually develop your technical and consulting skills. If you're looking for a role where you can combine strategy, technology and client engagement, we'd love to hear from you.
Senior AI Engineer Contract & Permanent Opportunities | UK | Hybrid & Remote £80,000-£140,000+ (Permanent) | £600-£1,200+ per day (Contract) Artificial Intelligence has moved beyond experimentation. Our clients are investing heavily in AI, and we're partnering with some of the UK's most innovative organisations to hire experienced AI Engineers who have already delivered AI solutions into production. This is not a graduate, research or "software engineer learning AI" opportunity. We're looking for engineers with a proven track record of building commercial AI products that solve real business problems. We are particularly interested in AI Engineers from: Financial Services Technology/SaaS Healthcare & Life Sciences Industry experience is essential. You'll understand the regulatory, operational and technical challenges unique to your sector and have delivered AI solutions within it. Typical projects include: Building AI agents and autonomous workflows Developing LLM-powered applications and copilots Designing enterprise RAG and knowledge retrieval platforms Production deployment of Generative AI solutions AI integration into enterprise products and business platforms Scaling AI systems across cloud environments You'll ideally have experience with: Python OpenAI, Anthropic, Gemini, Llama or similar LLMs LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen or equivalent frameworks RAG, vector databases and embeddings Azure AI, AWS AI or Google Vertex AI MLOps, CI/CD and cloud-native deployment Docker, Kubernetes and modern software engineering practices What we're looking for 3+ years building commercial AI solutions Proven experience deploying AI into production-not just proof-of-concepts Strong software engineering background Experience working with enterprise stakeholders and cross-functional teams A track record of delivering measurable business outcomes through AI Salary & Contract Guide Typical opportunities we're recruiting for include: Senior AI Engineer: £80,000-£110,000 Lead AI Engineer: £110,000-£140,000+ AI Engineering Contractors: £600-£1,200+ per day (depending on sector, security clearance and technical expertise) Recruitment Process Due to strong client demand, initial CV screening will take place during the week commencing 3rd August , with first-stage interviews scheduled for 4th and 5th August . If you're interested, we recommend applying as soon as possible, as suitable candidates will be progressed immediately. Please note To be considered, you'll need hands-on commercial AI engineering experience within Financial Services, Technology or Healthcare . Unfortunately, we're unable to consider candidates whose experience is limited to academic research, personal projects or AI certifications alone. If you're building production-grade AI systems that deliver measurable business value and are interested in hearing about some of the UK's most exciting AI opportunities, we'd love to speak with you.
27/07/2026
Senior AI Engineer Contract & Permanent Opportunities | UK | Hybrid & Remote £80,000-£140,000+ (Permanent) | £600-£1,200+ per day (Contract) Artificial Intelligence has moved beyond experimentation. Our clients are investing heavily in AI, and we're partnering with some of the UK's most innovative organisations to hire experienced AI Engineers who have already delivered AI solutions into production. This is not a graduate, research or "software engineer learning AI" opportunity. We're looking for engineers with a proven track record of building commercial AI products that solve real business problems. We are particularly interested in AI Engineers from: Financial Services Technology/SaaS Healthcare & Life Sciences Industry experience is essential. You'll understand the regulatory, operational and technical challenges unique to your sector and have delivered AI solutions within it. Typical projects include: Building AI agents and autonomous workflows Developing LLM-powered applications and copilots Designing enterprise RAG and knowledge retrieval platforms Production deployment of Generative AI solutions AI integration into enterprise products and business platforms Scaling AI systems across cloud environments You'll ideally have experience with: Python OpenAI, Anthropic, Gemini, Llama or similar LLMs LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen or equivalent frameworks RAG, vector databases and embeddings Azure AI, AWS AI or Google Vertex AI MLOps, CI/CD and cloud-native deployment Docker, Kubernetes and modern software engineering practices What we're looking for 3+ years building commercial AI solutions Proven experience deploying AI into production-not just proof-of-concepts Strong software engineering background Experience working with enterprise stakeholders and cross-functional teams A track record of delivering measurable business outcomes through AI Salary & Contract Guide Typical opportunities we're recruiting for include: Senior AI Engineer: £80,000-£110,000 Lead AI Engineer: £110,000-£140,000+ AI Engineering Contractors: £600-£1,200+ per day (depending on sector, security clearance and technical expertise) Recruitment Process Due to strong client demand, initial CV screening will take place during the week commencing 3rd August , with first-stage interviews scheduled for 4th and 5th August . If you're interested, we recommend applying as soon as possible, as suitable candidates will be progressed immediately. Please note To be considered, you'll need hands-on commercial AI engineering experience within Financial Services, Technology or Healthcare . Unfortunately, we're unable to consider candidates whose experience is limited to academic research, personal projects or AI certifications alone. If you're building production-grade AI systems that deliver measurable business value and are interested in hearing about some of the UK's most exciting AI opportunities, we'd love to speak with you.
Threat and Vulnerability Management Engineer- 6 months | London We're recruiting for a Threat and Vulnerability Management Engineer to lead the TVM function within an Infrastructure and Service Management group spanning EMEA Bank, International Securities, and 15+ countries for a leading global financial services organisation. This role owns TVM strategy and roadmap, leads a team of engineers, and serves as the central coordination point for vulnerability-related activity, governance, and audit readiness across the estate. Key Responsibilities Design, develop, and manage the department's Threat and Vulnerability Management (TVM) strategy and roadmap, aligned with business requirements and IT risk appetite Define measurable, repeatable processes, reporting metrics, and Key Risk Indicators (KRIs); produce KPI/MI/risk data for senior management Lead a team of Threat and Vulnerability Engineers, overseeing deployment and automation of routine and out-of-band security patches Triage vulnerabilities into "Fix, Acknowledge, Investigate" categories using industry-aligned risk rating methodologies Manage and report on vulnerabilities via ServiceNow AVR/VR modules, integrating with dashboards and workflows Collaborate with application teams to ensure secure coding and timely, criticality-based remediation Prioritise weaknesses using manual and automated methods, including SAST/SCA tooling outputs What You Will Ideally Bring Proven experience directly managing a team of Threat and Vulnerability Engineers Strong strategic thinking, able to co-develop and drive technical vision, strategy, and roadmap Experience within infrastructure environments and cloud platforms (AWS, Azure, Oracle) Proven capability building TVM programmes: vulnerability scanning, penetration testing, security awareness training Proficiency with vulnerability scanning tools (Tenable, Qualys, Rapid7, Veracode, JFrog Xray) and threat intelligence platforms Strong knowledge of Ivanti LANDesk, Qualys, Splunk, Windows Server/Desktop, RHEL/OEL Linux, PowerShell, and Python Scripting Contract Details: Duration: 6months Rate: £450/day - Inside IR35 Location: Central London - Onsite Start Date: ASAP
27/07/2026
Contractor
Threat and Vulnerability Management Engineer- 6 months | London We're recruiting for a Threat and Vulnerability Management Engineer to lead the TVM function within an Infrastructure and Service Management group spanning EMEA Bank, International Securities, and 15+ countries for a leading global financial services organisation. This role owns TVM strategy and roadmap, leads a team of engineers, and serves as the central coordination point for vulnerability-related activity, governance, and audit readiness across the estate. Key Responsibilities Design, develop, and manage the department's Threat and Vulnerability Management (TVM) strategy and roadmap, aligned with business requirements and IT risk appetite Define measurable, repeatable processes, reporting metrics, and Key Risk Indicators (KRIs); produce KPI/MI/risk data for senior management Lead a team of Threat and Vulnerability Engineers, overseeing deployment and automation of routine and out-of-band security patches Triage vulnerabilities into "Fix, Acknowledge, Investigate" categories using industry-aligned risk rating methodologies Manage and report on vulnerabilities via ServiceNow AVR/VR modules, integrating with dashboards and workflows Collaborate with application teams to ensure secure coding and timely, criticality-based remediation Prioritise weaknesses using manual and automated methods, including SAST/SCA tooling outputs What You Will Ideally Bring Proven experience directly managing a team of Threat and Vulnerability Engineers Strong strategic thinking, able to co-develop and drive technical vision, strategy, and roadmap Experience within infrastructure environments and cloud platforms (AWS, Azure, Oracle) Proven capability building TVM programmes: vulnerability scanning, penetration testing, security awareness training Proficiency with vulnerability scanning tools (Tenable, Qualys, Rapid7, Veracode, JFrog Xray) and threat intelligence platforms Strong knowledge of Ivanti LANDesk, Qualys, Splunk, Windows Server/Desktop, RHEL/OEL Linux, PowerShell, and Python Scripting Contract Details: Duration: 6months Rate: £450/day - Inside IR35 Location: Central London - Onsite Start Date: ASAP
Technical Lead - Digital Platforms (SC) - Contract role - Berkshire - £competitive Synergize Consulting are now hiring for a Technical Lead to work at a leading defence client on a contract basis. The Technical Lead will provide leadership across a programme of digital platform engineering, and will manage and mentor multidisciplinary teams comprising Systems Engineers, Data Engineers, Data Analysts, SecDevOps Engineers, and Senior Technical Specialists. They are responsible for defining technical standards, driving engineering excellence, overseeing architecture decisions, managing technical risk, and ensuring the successful delivery of digital capabilities across the organisation. Responsibilities include: Provide technical leadership across infrastructure, cloud, cyber security, DevSecOps, data engineering, analytics, and platform services. Lead multidisciplinary engineering teams delivering enterprise technology solutions. Establish technical standards, engineering practices, and operational governance. Provide architectural oversight and ensure alignment with enterprise architecture principles. Support and guide Senior Systems Engineers, Senior SecDevOps Engineers, Principal Data Engineers, Data Analysts, and Systems Engineers. Ensure platforms are secure, resilient, scalable, maintainable, and compliant. Oversee cloud, on-premises, hybrid, and container-based infrastructure environments. Drive automation, Infrastructure as Code, DataOps, DevOps, and platform engineering best practices. Lead technical decisions regarding Azure services, Kubernetes, OpenShift, data platforms, analytics tools, and security technologies. Manage technical risks, dependencies, and stakeholder expectations across multiple projects and programmes. Support budgeting, technology roadmaps, and capability planning. Act as the senior technical escalation point for major incidents, service issues, and programme risks. Evaluate emerging technologies and provide recommendations for future adoption. Ensure compliance with organisational security, governance, and regulatory requirements. Define and maintain technical standards across all engineering disciplines. Ensure the adoption of industry best practices and engineering excellence. Provide mentoring, coaching, and technical guidance to engineering teams. Foster a culture of innovation, collaboration, and continuous improvement. Ensure the reliability, scalability, and security of cloud and on-premises environments. Experience required: Significant experience leading multidisciplinary engineering teams. Extensive Microsoft Azure experience including governance, networking, identity, security, and platform services. Experience operating within defence, aerospace, or highly regulated environments would be desirable Strong technical expertise across cloud, infrastructure, security, and data technologies. Enterprise Architecture certification or experience. Strong understanding of hybrid cloud and on-premises infrastructure. Knowledge of Digital Twin, AI, and Machine Learning platforms. Experience with Kubernetes and OpenShift platform administration and architecture. Experience with multi-cloud environments. Experience managing external suppliers and strategic technology partners. Knowledge of enterprise data platforms, data engineering, data governance, and analytics ecosystems. Strong knowledge of CI/CD pipelines and automation technologies. Experience with Terraform, Ansible, PowerShell, Python, or similar automation technologies would be beneficial to the role Strong understanding of enterprise networking, identity management, and platform security would be desirable Due to the nature of the client, it would be an advantage for candidates to hold, or be eligible and willing to undergo, a certain level of security clearance (SC). If you are looking to take the next exciting step in your IT career, please send in your CV for immediate consideration.
27/07/2026
Contractor
Technical Lead - Digital Platforms (SC) - Contract role - Berkshire - £competitive Synergize Consulting are now hiring for a Technical Lead to work at a leading defence client on a contract basis. The Technical Lead will provide leadership across a programme of digital platform engineering, and will manage and mentor multidisciplinary teams comprising Systems Engineers, Data Engineers, Data Analysts, SecDevOps Engineers, and Senior Technical Specialists. They are responsible for defining technical standards, driving engineering excellence, overseeing architecture decisions, managing technical risk, and ensuring the successful delivery of digital capabilities across the organisation. Responsibilities include: Provide technical leadership across infrastructure, cloud, cyber security, DevSecOps, data engineering, analytics, and platform services. Lead multidisciplinary engineering teams delivering enterprise technology solutions. Establish technical standards, engineering practices, and operational governance. Provide architectural oversight and ensure alignment with enterprise architecture principles. Support and guide Senior Systems Engineers, Senior SecDevOps Engineers, Principal Data Engineers, Data Analysts, and Systems Engineers. Ensure platforms are secure, resilient, scalable, maintainable, and compliant. Oversee cloud, on-premises, hybrid, and container-based infrastructure environments. Drive automation, Infrastructure as Code, DataOps, DevOps, and platform engineering best practices. Lead technical decisions regarding Azure services, Kubernetes, OpenShift, data platforms, analytics tools, and security technologies. Manage technical risks, dependencies, and stakeholder expectations across multiple projects and programmes. Support budgeting, technology roadmaps, and capability planning. Act as the senior technical escalation point for major incidents, service issues, and programme risks. Evaluate emerging technologies and provide recommendations for future adoption. Ensure compliance with organisational security, governance, and regulatory requirements. Define and maintain technical standards across all engineering disciplines. Ensure the adoption of industry best practices and engineering excellence. Provide mentoring, coaching, and technical guidance to engineering teams. Foster a culture of innovation, collaboration, and continuous improvement. Ensure the reliability, scalability, and security of cloud and on-premises environments. Experience required: Significant experience leading multidisciplinary engineering teams. Extensive Microsoft Azure experience including governance, networking, identity, security, and platform services. Experience operating within defence, aerospace, or highly regulated environments would be desirable Strong technical expertise across cloud, infrastructure, security, and data technologies. Enterprise Architecture certification or experience. Strong understanding of hybrid cloud and on-premises infrastructure. Knowledge of Digital Twin, AI, and Machine Learning platforms. Experience with Kubernetes and OpenShift platform administration and architecture. Experience with multi-cloud environments. Experience managing external suppliers and strategic technology partners. Knowledge of enterprise data platforms, data engineering, data governance, and analytics ecosystems. Strong knowledge of CI/CD pipelines and automation technologies. Experience with Terraform, Ansible, PowerShell, Python, or similar automation technologies would be beneficial to the role Strong understanding of enterprise networking, identity management, and platform security would be desirable Due to the nature of the client, it would be an advantage for candidates to hold, or be eligible and willing to undergo, a certain level of security clearance (SC). If you are looking to take the next exciting step in your IT career, please send in your CV for immediate consideration.
