Job Title: 2x Full Stack Software Engineer (React & AWS) Location: Hybrid, up-to 2x/week in Leeds Rate: £500/day Inside IR35 Duration: Until the end of September - Likely to extend About the Role: We're seeking a talented Full Stack Software Engineer with strong experience in React and AWS to join our growing development team. This is an exciting opportunity to work on scalable, modern web applications and cloud-native solutions, using the latest technologies in a supportive, agile environment. You'll be involved across the full development lifecycle - from design and architecture to deployment and monitoring - helping to deliver robust, high-quality software that meets the needs of both users and stakeholders. Key Responsibilities: Design, develop, and maintain scalable full stack applications using React on the front end and AWS cloud services on the back end Work across the stack on features, improvements, and new products Collaborate with designers, product managers, and other engineers in an Agile setting Write clean, maintainable, and well-tested code Deploy and monitor services using AWS best practices (e.g. Lambda, API Gateway, DynamoDB, S3, CloudFormation/Terraform) Contribute to architectural discussions and technical decision-making Help maintain a DevOps mindset across the team Key Skills & Experience: Proven experience building modern web applications with React.js Strong knowledge of JavaScript/TypeScript and RESTful APIs Solid experience working with AWS services in a production environment Comfortable with serverless frameworks and event-driven architecture Familiarity with CI/CD pipelines and automated testing Experience with infrastructure as code (e.g. CloudFormation, Terraform, or CDK) Strong problem-solving skills and a collaborative approach Nice to Have: Experience with Node.js or Python on the back end Knowledge of containerisation (Docker, ECS, or Kubernetes) Familiarity with GraphQL Exposure to monitoring tools (e.g. CloudWatch, Datadog) Previous experience working in a start-up or scale-up environment
Apr 10, 2026
Full time
Job Title: 2x Full Stack Software Engineer (React & AWS) Location: Hybrid, up-to 2x/week in Leeds Rate: £500/day Inside IR35 Duration: Until the end of September - Likely to extend About the Role: We're seeking a talented Full Stack Software Engineer with strong experience in React and AWS to join our growing development team. This is an exciting opportunity to work on scalable, modern web applications and cloud-native solutions, using the latest technologies in a supportive, agile environment. You'll be involved across the full development lifecycle - from design and architecture to deployment and monitoring - helping to deliver robust, high-quality software that meets the needs of both users and stakeholders. Key Responsibilities: Design, develop, and maintain scalable full stack applications using React on the front end and AWS cloud services on the back end Work across the stack on features, improvements, and new products Collaborate with designers, product managers, and other engineers in an Agile setting Write clean, maintainable, and well-tested code Deploy and monitor services using AWS best practices (e.g. Lambda, API Gateway, DynamoDB, S3, CloudFormation/Terraform) Contribute to architectural discussions and technical decision-making Help maintain a DevOps mindset across the team Key Skills & Experience: Proven experience building modern web applications with React.js Strong knowledge of JavaScript/TypeScript and RESTful APIs Solid experience working with AWS services in a production environment Comfortable with serverless frameworks and event-driven architecture Familiarity with CI/CD pipelines and automated testing Experience with infrastructure as code (e.g. CloudFormation, Terraform, or CDK) Strong problem-solving skills and a collaborative approach Nice to Have: Experience with Node.js or Python on the back end Knowledge of containerisation (Docker, ECS, or Kubernetes) Familiarity with GraphQL Exposure to monitoring tools (e.g. CloudWatch, Datadog) Previous experience working in a start-up or scale-up environment
A leading staffing solutions firm is seeking 2 AWS DevOps Engineers to support public sector projects, primarily within the NHS. This position demands strong hands-on experience with AWS, Kubernetes, and Terraform, focusing on managing scalable cloud infrastructure. Ideal candidates will bring solid Linux administration skills and a knack for automation. The role offers a day rate of £500 for a contract duration of 7 months, with flexible remote work requirements.
Apr 10, 2026
Full time
A leading staffing solutions firm is seeking 2 AWS DevOps Engineers to support public sector projects, primarily within the NHS. This position demands strong hands-on experience with AWS, Kubernetes, and Terraform, focusing on managing scalable cloud infrastructure. Ideal candidates will bring solid Linux administration skills and a knack for automation. The role offers a day rate of £500 for a contract duration of 7 months, with flexible remote work requirements.
Consultant Solution/Technical Architect Department: Consultancy Employment Type: Full Time Location: United Kingdom / Hybrid Description The Consultant Solution / Technical Architect role provides an opportunity to support a wide range of UK public sector and defence organisations on nationally critical digital programmes. You will provide consultancy to UK public sector and defence organisations to help them get maximum benefit from their ICT investments. You will analyse and develop solution and technical architectures based on the needs of the customer, including the associated technologies and operational processes. You will also research and assess new or unfamiliar technologies developments and routes to exploit these in support of our customers. Our position as a client-side advisor means that this role requires significant stakeholder engagement, dealing directly with the client, including in resolving day-day issues involved in assignment delivery and developing follow-on opportunities, so excellent interpersonal and influencing skills are essential. You will produce high-quality formal deliverables, sometimes to challenging timescales. Key Responsibilities Direct engagement with clients to understand their business drivers, requirements and constraints. Defining end-to-end solution architectures including Business, Information/Data, Applications and Infrastructure views. Development of solutions and product investigation/selection and supporting implementation in critical national infrastructure projects. Supporting large ICT procurements, including developing technical requirements and evaluating options. Skills, Knowledge and Expertise Essential: A track record in technical or solution architecture for digital projects or programmes is essential. The fast-changing nature of the ICT environment together with the need to resource multiple, ad-hoc assignments also requires the individual to be intellectually agile, proactive and self-motivated - with the ability to apply a structured approach to often unfamiliar subject matter. Desirable: Experience working on Digital or ICT programmes within the Defence and / or UK Public Sector. Solution Architecture development and review using industry standard frameworks or modelling standards (e.g. TOGAF, Archimate language) and tooling (such as BizzDesign, SparxEA or Archi). Experience with two or more of the following: Cloud Platforms: Understanding of Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Oracle Cloud, or VMware VCF (with ability to design cloud-native or hybrid solutions). Suitable qualifications might include Cisco CCNP, Amazon Web Services Solution Architect, Microsoft Azure Fundamentals, Google Associate Cloud Engineer, VMware Certified Professional. A solid foundation in infrastructure. Understanding networking, integration of software defined networking within cloud, storage, virtualization, and server technologies such as Cisco, Dell, Palo Alto. Integration & APIs: REST, event-driven architectures, message brokers, API gateways. Data: data models, data flows, data governance, analytical platforms. Security: familiarity with NCSC and cloud security principles, identity & access management, zero trust, data protection and regulatory compliance. The nature of Actica's business means that a wide and varied background is preferable and the capability to adapt quickly to change is always required. You may not feel that your skills precisely match the requirements of this job specification; however, we encourage you to apply if this is a role that appeals to you. We require individuals with a broad skillset, so there may be other aspects of your experience which are equally important to us, but that are perhaps not listed in the role specification above. Actica aims to nurture a diverse workforce through inclusive working practices, promoting equality in our recruitment activities, and by employing candidates on the basis of merit. Discrimination against individuals on the grounds of protected characteristics is not permitted and we take steps to ensure that our staff are made aware of their legal responsibilities when making hiring decisions. We are keen to improve diversity within our organisation and the industries in which we work, and hope to employ individuals who share that view. While Guildford is our home base, consultants typically spend their time working remotely. For most clients, consultants spend 2-3 days working remotely and 2-3 days co-located with colleagues at a client's site or our office in Guildford. For some projects, there will a requirement to work up to 5 days a week co-located with colleagues. All work is team based, with a high level of engagement with other Actica and client team members. Candidates must be eligible and willing to gain UK Security Clearance to apply for this position.
Apr 10, 2026
Full time
Consultant Solution/Technical Architect Department: Consultancy Employment Type: Full Time Location: United Kingdom / Hybrid Description The Consultant Solution / Technical Architect role provides an opportunity to support a wide range of UK public sector and defence organisations on nationally critical digital programmes. You will provide consultancy to UK public sector and defence organisations to help them get maximum benefit from their ICT investments. You will analyse and develop solution and technical architectures based on the needs of the customer, including the associated technologies and operational processes. You will also research and assess new or unfamiliar technologies developments and routes to exploit these in support of our customers. Our position as a client-side advisor means that this role requires significant stakeholder engagement, dealing directly with the client, including in resolving day-day issues involved in assignment delivery and developing follow-on opportunities, so excellent interpersonal and influencing skills are essential. You will produce high-quality formal deliverables, sometimes to challenging timescales. Key Responsibilities Direct engagement with clients to understand their business drivers, requirements and constraints. Defining end-to-end solution architectures including Business, Information/Data, Applications and Infrastructure views. Development of solutions and product investigation/selection and supporting implementation in critical national infrastructure projects. Supporting large ICT procurements, including developing technical requirements and evaluating options. Skills, Knowledge and Expertise Essential: A track record in technical or solution architecture for digital projects or programmes is essential. The fast-changing nature of the ICT environment together with the need to resource multiple, ad-hoc assignments also requires the individual to be intellectually agile, proactive and self-motivated - with the ability to apply a structured approach to often unfamiliar subject matter. Desirable: Experience working on Digital or ICT programmes within the Defence and / or UK Public Sector. Solution Architecture development and review using industry standard frameworks or modelling standards (e.g. TOGAF, Archimate language) and tooling (such as BizzDesign, SparxEA or Archi). Experience with two or more of the following: Cloud Platforms: Understanding of Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Oracle Cloud, or VMware VCF (with ability to design cloud-native or hybrid solutions). Suitable qualifications might include Cisco CCNP, Amazon Web Services Solution Architect, Microsoft Azure Fundamentals, Google Associate Cloud Engineer, VMware Certified Professional. A solid foundation in infrastructure. Understanding networking, integration of software defined networking within cloud, storage, virtualization, and server technologies such as Cisco, Dell, Palo Alto. Integration & APIs: REST, event-driven architectures, message brokers, API gateways. Data: data models, data flows, data governance, analytical platforms. Security: familiarity with NCSC and cloud security principles, identity & access management, zero trust, data protection and regulatory compliance. The nature of Actica's business means that a wide and varied background is preferable and the capability to adapt quickly to change is always required. You may not feel that your skills precisely match the requirements of this job specification; however, we encourage you to apply if this is a role that appeals to you. We require individuals with a broad skillset, so there may be other aspects of your experience which are equally important to us, but that are perhaps not listed in the role specification above. Actica aims to nurture a diverse workforce through inclusive working practices, promoting equality in our recruitment activities, and by employing candidates on the basis of merit. Discrimination against individuals on the grounds of protected characteristics is not permitted and we take steps to ensure that our staff are made aware of their legal responsibilities when making hiring decisions. We are keen to improve diversity within our organisation and the industries in which we work, and hope to employ individuals who share that view. While Guildford is our home base, consultants typically spend their time working remotely. For most clients, consultants spend 2-3 days working remotely and 2-3 days co-located with colleagues at a client's site or our office in Guildford. For some projects, there will a requirement to work up to 5 days a week co-located with colleagues. All work is team based, with a high level of engagement with other Actica and client team members. Candidates must be eligible and willing to gain UK Security Clearance to apply for this position.
Hamilton Barnes Associates Limited
Fareham, Hampshire
Looking to play a key role in architecting the strategy for how organizations defend their most critical assets? Join a technology services firm known for delivering reliable IT infrastructure, cloud, and managed services that help organisations run securely and efficiently. Works across industries including finance, legal, healthcare, and professional services. This role primarily involves acting as an offensive security lead for a diverse portfolio of 50+ clients across the Finance, Legal, and Sales & Distribution sectors. If you are interested in blending traditional deep-dive testing and cutting edge research into the security implications of AI adoption, apply now! Responsibilities Full Spectrum Security Testing Lead Complex Engagements: Direct and execute end to end penetration tests across internal and external networks, web applications, and mobile platforms. Multi Sector Adaptation: Tailor testing methodologies to meet the specific regulatory and threat landscapes of the Finance (high compliance), Legal (data privacy), and Distribution (operational uptime) industries. Advanced Adversarial Simulation: Go beyond automated scans to perform manual exploitation, pivoting, and social engineering to simulate real world sophisticated threats. Vulnerability Management & Remediation Strategic Reporting: Translate technical findings into high impact remediation reports for both executive stakeholders and technical teams. Remediation Oversight: In key accounts, act as a consultant to oversee the implementation of fixes, ensuring that vulnerabilities are not just identified, but effectively neutralized. Risk Prioritization: Help clients navigate "patch fatigue" by prioritizing vulnerabilities based on exploitability and business impact. Required Skills / Qualifications Technical Must Haves Offensive Certifications: Must hold at least one advanced, practical certification such as OSCP (Offensive Security Certified Professional), OSCE, GPEN, or GXPN. Full Stack Testing Expertise: Proven experience performing manual penetration testing across Internal/External Networks, Web Applications (OWASP Top 10), and Mobile (iOS/Android). Development Skills: Proficiency in Python, Go, or Ruby. You must be able to write custom scripts and contribute to the development of internal tools for AI monitoring and vulnerability detection. Infrastructure Knowledge: Deep understanding of Active Directory, Kerberos, Cloud environments (Azure/AWS), and modern containerization (Docker/Kubernetes). Experience & Engagement Lead Must Haves Engagement Leadership: Minimum of 5-7 years in a dedicated penetration testing role, with experience leading the lifecycle of an engagement from scoping to delivery. Multi Tenant/MSP Experience: Ability to manage security assessments for a large portfolio of clients (ideally 20+) simultaneously without a drop in quality. Remediation Advocacy: Act as a consultant to oversee and validate the remediation efforts of client IT teams. Salary Up to 130k (estimated)
Apr 10, 2026
Full time
Looking to play a key role in architecting the strategy for how organizations defend their most critical assets? Join a technology services firm known for delivering reliable IT infrastructure, cloud, and managed services that help organisations run securely and efficiently. Works across industries including finance, legal, healthcare, and professional services. This role primarily involves acting as an offensive security lead for a diverse portfolio of 50+ clients across the Finance, Legal, and Sales & Distribution sectors. If you are interested in blending traditional deep-dive testing and cutting edge research into the security implications of AI adoption, apply now! Responsibilities Full Spectrum Security Testing Lead Complex Engagements: Direct and execute end to end penetration tests across internal and external networks, web applications, and mobile platforms. Multi Sector Adaptation: Tailor testing methodologies to meet the specific regulatory and threat landscapes of the Finance (high compliance), Legal (data privacy), and Distribution (operational uptime) industries. Advanced Adversarial Simulation: Go beyond automated scans to perform manual exploitation, pivoting, and social engineering to simulate real world sophisticated threats. Vulnerability Management & Remediation Strategic Reporting: Translate technical findings into high impact remediation reports for both executive stakeholders and technical teams. Remediation Oversight: In key accounts, act as a consultant to oversee the implementation of fixes, ensuring that vulnerabilities are not just identified, but effectively neutralized. Risk Prioritization: Help clients navigate "patch fatigue" by prioritizing vulnerabilities based on exploitability and business impact. Required Skills / Qualifications Technical Must Haves Offensive Certifications: Must hold at least one advanced, practical certification such as OSCP (Offensive Security Certified Professional), OSCE, GPEN, or GXPN. Full Stack Testing Expertise: Proven experience performing manual penetration testing across Internal/External Networks, Web Applications (OWASP Top 10), and Mobile (iOS/Android). Development Skills: Proficiency in Python, Go, or Ruby. You must be able to write custom scripts and contribute to the development of internal tools for AI monitoring and vulnerability detection. Infrastructure Knowledge: Deep understanding of Active Directory, Kerberos, Cloud environments (Azure/AWS), and modern containerization (Docker/Kubernetes). Experience & Engagement Lead Must Haves Engagement Leadership: Minimum of 5-7 years in a dedicated penetration testing role, with experience leading the lifecycle of an engagement from scoping to delivery. Multi Tenant/MSP Experience: Ability to manage security assessments for a large portfolio of clients (ideally 20+) simultaneously without a drop in quality. Remediation Advocacy: Act as a consultant to oversee and validate the remediation efforts of client IT teams. Salary Up to 130k (estimated)
Cyber Security Engineer - Hybrid - Dartford - £50k My client are a fast-growing, forward-thinking logistics company with a strong international presence and a reputation for innovation. Operating across multiple divisions, with a dynamic team of over 1,100 professionals and offices across the UK, Europe, Asia, and the Middle East, they are committed to driving operational excellence. The Role We're looking for a passionate and hands on Cyber Security Engineer to join their expanding IT team and play a key role in enhancing their security posture across on premises and cloud environments. This is a great opportunity for someone who thrives on solving complex security challenges, enjoys working collaboratively, and wants to make a tangible impact on safeguarding critical systems and data. Whats on offer Competitive salary package Hybrid working for better work life balance Onsite amenities: Free parking and an onsite canteen for convenience Generous leave: 25 days annual holiday allowance Enhanced family leave: Maternity, paternity, and adoption pay Benefits portal: Access to discounts, company perks, and wellbeing resources Wellbeing support: Employee wellbeing programme for mental and physical health Referral scheme: Earn up to £1,000 by referring a friend Fantastic working culture: A supportive environment with excellent work life balance Recognition programmes: Long service awards and charity initiatives What You'll Be Doing Lead and support a range of IT security projects, ensuring secure and timely delivery Manage and maintain cybersecurity tools for both on prem and cloud environments (cloud being a key focus) Implement, configure, and update security solutions including EDR, SIEM, vulnerability management, IAM, and cloud security tools Collaborate with internal IT, development, and third party teams to embed security across all operations Conduct risk assessments, vulnerability scans, and OSINT investigations Monitor emerging threats, zero day vulnerabilities, and new CVEs, assessing their potential impact Investigate and respond to security incidents, performing root cause analysis and recommending improvements Deliver engaging security awareness training across the business Provide security guidance for new technologies and strategic initiatives Support day to day security operations and enforce strong change control processes Assist with SOC alerts, investigations, and escalations What We're Looking For Proven experience in a Cyber Security Engineer or similar technical security role Strong understanding of network, infrastructure, and application security principles Practical experience with security tools and platforms, both on prem and cloud-based Familiarity with industry standards and frameworks (ISO 27001, NIST, CIS) Experience in risk assessment, vulnerability management, and incident response Hands on experience configuring and managing cloud security tools and IAM solutions Knowledge of EDR platforms and vulnerability management processes Relevant certifications (e.g., CompTIA Security+, CISSP, CEH, Azure Security Engineer) desirable Excellent communication skills with the ability to simplify complex issues for non technical audiences Proactive, detail oriented, and able to work effectively in a fast paced environment Interested? APPLY by sending an updated copy of your CV to .
Apr 10, 2026
Full time
Cyber Security Engineer - Hybrid - Dartford - £50k My client are a fast-growing, forward-thinking logistics company with a strong international presence and a reputation for innovation. Operating across multiple divisions, with a dynamic team of over 1,100 professionals and offices across the UK, Europe, Asia, and the Middle East, they are committed to driving operational excellence. The Role We're looking for a passionate and hands on Cyber Security Engineer to join their expanding IT team and play a key role in enhancing their security posture across on premises and cloud environments. This is a great opportunity for someone who thrives on solving complex security challenges, enjoys working collaboratively, and wants to make a tangible impact on safeguarding critical systems and data. Whats on offer Competitive salary package Hybrid working for better work life balance Onsite amenities: Free parking and an onsite canteen for convenience Generous leave: 25 days annual holiday allowance Enhanced family leave: Maternity, paternity, and adoption pay Benefits portal: Access to discounts, company perks, and wellbeing resources Wellbeing support: Employee wellbeing programme for mental and physical health Referral scheme: Earn up to £1,000 by referring a friend Fantastic working culture: A supportive environment with excellent work life balance Recognition programmes: Long service awards and charity initiatives What You'll Be Doing Lead and support a range of IT security projects, ensuring secure and timely delivery Manage and maintain cybersecurity tools for both on prem and cloud environments (cloud being a key focus) Implement, configure, and update security solutions including EDR, SIEM, vulnerability management, IAM, and cloud security tools Collaborate with internal IT, development, and third party teams to embed security across all operations Conduct risk assessments, vulnerability scans, and OSINT investigations Monitor emerging threats, zero day vulnerabilities, and new CVEs, assessing their potential impact Investigate and respond to security incidents, performing root cause analysis and recommending improvements Deliver engaging security awareness training across the business Provide security guidance for new technologies and strategic initiatives Support day to day security operations and enforce strong change control processes Assist with SOC alerts, investigations, and escalations What We're Looking For Proven experience in a Cyber Security Engineer or similar technical security role Strong understanding of network, infrastructure, and application security principles Practical experience with security tools and platforms, both on prem and cloud-based Familiarity with industry standards and frameworks (ISO 27001, NIST, CIS) Experience in risk assessment, vulnerability management, and incident response Hands on experience configuring and managing cloud security tools and IAM solutions Knowledge of EDR platforms and vulnerability management processes Relevant certifications (e.g., CompTIA Security+, CISSP, CEH, Azure Security Engineer) desirable Excellent communication skills with the ability to simplify complex issues for non technical audiences Proactive, detail oriented, and able to work effectively in a fast paced environment Interested? APPLY by sending an updated copy of your CV to .
Morgan Hunt are working with a large public sector organisation based in Birmingham to recruit an IT Network Manager. You'll play a key role in designing, delivering, and maintaining robust, secure, and high-performing network infrastructure. Acting as a subject matter expert, you'll shape technical standards, contribute to strategic direction, and ensure operational stability across all connectivity services. You'll lead and support complex infrastructure projects, working collaboratively across teams and suppliers to deliver resilient, scalable solutions. Responsibilities include network design and optimisation, performance monitoring, troubleshooting, and implementing improvements across cloud and on premise environments. This role may include technical leadership and people management responsibilities, as well as contributing to governance, standards, and best practices. You'll also support knowledge sharing across the team and stay at the forefront of industry developments. Key Requirements Oversee the performance, reliability, and security of network infrastructure, including design, implementation, and ongoing optimisation Troubleshoot issues, support upgrades, and deliver resilient, scalable solutions across cloud and on prem environments Contribute to infrastructure projects, technical design, and governance, while providing support to engineers and managing network capacity and standards Design and implement new solutions and improve resilience of current environment Establish excellent networking environments through designing system configuration, directly system installation and defining, documenting, end enforcing system standards Essential Experience Knowledge of all matters related to network infrastructure, including but not limited to, common network standards, protocols, designs, Cloud, and connectivity Knowledge of more than one of the following: Secure Systems design, Public, Private and Hybrid Cloud hosting experience, Desktop & Server OS, Database, OS Support, Virtualisation, Storage/SANs & Backup/Recovery, Security, High Availability/Business Continuity Expert technical understanding of Microsoft on premise and cloud technologies (including Azure, SharePoint, Dynamics, and Office 365). Cisco technology expertise Telephony technology and solutions knowledge Up to £46,000 per year. Hybrid working (Birmingham or London based). Permanent position. Please get in touch for further information. Morgan Hunt is a multi award winning recruitment business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual's skills, qualifications and abilities to perform the relevant duties required in a particular role.
Apr 10, 2026
Full time
Morgan Hunt are working with a large public sector organisation based in Birmingham to recruit an IT Network Manager. You'll play a key role in designing, delivering, and maintaining robust, secure, and high-performing network infrastructure. Acting as a subject matter expert, you'll shape technical standards, contribute to strategic direction, and ensure operational stability across all connectivity services. You'll lead and support complex infrastructure projects, working collaboratively across teams and suppliers to deliver resilient, scalable solutions. Responsibilities include network design and optimisation, performance monitoring, troubleshooting, and implementing improvements across cloud and on premise environments. This role may include technical leadership and people management responsibilities, as well as contributing to governance, standards, and best practices. You'll also support knowledge sharing across the team and stay at the forefront of industry developments. Key Requirements Oversee the performance, reliability, and security of network infrastructure, including design, implementation, and ongoing optimisation Troubleshoot issues, support upgrades, and deliver resilient, scalable solutions across cloud and on prem environments Contribute to infrastructure projects, technical design, and governance, while providing support to engineers and managing network capacity and standards Design and implement new solutions and improve resilience of current environment Establish excellent networking environments through designing system configuration, directly system installation and defining, documenting, end enforcing system standards Essential Experience Knowledge of all matters related to network infrastructure, including but not limited to, common network standards, protocols, designs, Cloud, and connectivity Knowledge of more than one of the following: Secure Systems design, Public, Private and Hybrid Cloud hosting experience, Desktop & Server OS, Database, OS Support, Virtualisation, Storage/SANs & Backup/Recovery, Security, High Availability/Business Continuity Expert technical understanding of Microsoft on premise and cloud technologies (including Azure, SharePoint, Dynamics, and Office 365). Cisco technology expertise Telephony technology and solutions knowledge Up to £46,000 per year. Hybrid working (Birmingham or London based). Permanent position. Please get in touch for further information. Morgan Hunt is a multi award winning recruitment business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual's skills, qualifications and abilities to perform the relevant duties required in a particular role.
In this new and exciting role, reporting to the Cyber Security Engineering Team Leader, you will implement, configure, and maintain security controls across the YTL UK Group's on-premises and cloud technology environments. The role supports the delivery of a secure baseline through recognised security engineering practices, contributing to secure build processes and optimisation activities. You will need strong technical capability in Microsoft Azure and on-premises Active Directory environments, with the ability to implement and maintain secure configurations in alignment with defined standards and architectural guidance. What you'll do You will: work with project, IT and Security teams to ensure security requirements are embedded within new deployments in accordance with agreed standards implement and maintain system configurations across supported operating systems in alignment with build standards and baselines perform configuration hardening activities and remediation of non compliant systems to support adherence to security standards assist in maintaining visibility of compliance against secure build baselines through validation and reporting activities design, develop and maintain automation scripts and configurations to support security controls, configuration baselines and compliance validation activities implement automation and orchestration capabilities to improve consistency, repeatability and efficiency of security engineering tasks, and contribute to the continual improvement of automated security controls implement and maintain cloud security configurations in alignment with defined baselines and architectural standards, enforcing secure configuration practices across Azure and related platforms collaborate with the IdAM and IT teams to support secure identity configuration within Azure/Entra ID environments conduct cloud security configuration reviews and assessments, identifying misconfigurations and control gaps, and execute remediation activities in coordination with relevant teams review security configurations for on premises virtual machines and hypervisor platforms in alignment with secure build standards, performing configuration reviews to address identified gaps contribute to the continual improvement of on premises security controls by identifying optimisation opportunities and escalating issues where appropriate configure, integrate and maintain enterprise security platforms and tooling, including endpoint protection, SIEM, EDR/XDR, CASB and related monitoring technologies optimise tool configurations, policies and telemetry collection support Security Operations by analysing platform performance, tuning configurations and resolving issues impacting detection capability provide technical input to security architecture and infrastructure teams by identifying practical security enhancements and configuration improvements advise and support secure configuration of technologies, including Active Directory, Azure/Entra ID, PKI, PAM/PIM, authentication services and application platforms support the secure deployment and configuration of new services to ensure alignment with established baselines contribute technical input to asset discovery and inventory tooling to improve visibility across the estate, integrating and configuring security tooling to ensure accurate asset identification and telemetry coverage utilise defined asset management processes to support accurate tracking of systems and security control coverage, identifying visibility gaps and escalating as required provide technical engineering support to Security Operations during incident response activities, including implementing mitigating controls, configuration changes and defensive enhancements be willing to participate in an out of hours technical support rota for high severity incidents, supporting post incident analysis by ensuring relevant configuration and telemetry information is available support threat hunting and detection improvement initiatives by implementing control adjustments, configuration updates or blocking mechanisms in response to IOCs assist with compliance activities and audit requests by providing technical evidence, configuration details and remediation updates collaborate with Security Operations, IdAM, Purple Team and infrastructure colleagues to provide practical guidance on configuration and control implementation contribute engineering insight to projects and operational activities to ensure security requirements are implemented effectively support colleagues in understanding secure configuration standards and applied controls within their respective technology domains. What you'll need We are looking for: demonstrable knowledge of security engineering standards, practices and secure configuration principles solid understanding of core security concepts, including defence in depth, least privilege, segmentation and identity centric security models proven hands on experience deploying, configuring and maintaining enterprise security technologies and platforms experience contributing to IT and cyber security projects involving the implementation of new controls or security enhancements practical understanding of identity and access control principles and their role in maintaining confidentiality, integrity and availability strong written communication skills for producing technical documentation, configuration standards and implementation guidance clear verbal communication skills, able to explain configuration requirements to technical and non technical stakeholders ability to collaborate effectively across infrastructure, cloud and operational teams experience supporting security investigations, including troubleshooting, remediation implementation and control adjustment practical awareness of common cyber threats and experience implementing configuration based mitigations working knowledge of cloud platforms (e.g., Azure) and cloud security principles, including identity, configuration management and monitoring controls hands on experience with Microsoft Windows (desktop and server) environments, with working knowledge of Unix and Linux systems. What you'll receive A combined pension contribution of up to 20%. Career progression and professional development opportunities. 25 days' holiday rising to 28 with length of service. The opportunity to sell up to five days of holiday every year. The opportunity to buy up to ten days of holiday each year (subject to conditions). A healthcare package that allows you to claim back healthcare costs. Life assurance of up to eight times your salary. The opportunity to lease a new electric car through salary sacrifice (subject to conditions). Cashback and discounts from more than 3,000 retailers. One paid volunteering day each year. Enhanced family leave and pay arrangements. Access toan interactive health and wellbeing platform. Support from trainedmental health first aiders. A £1,000 referral fee if you recommend someone who is successfully recruited by us. Who we are YTL UK is part of the international YTL Group based in Kuala Lumpur. The UK companies include: Wessex Water - one of the top-performing water and sewerage companies in England and Wales, serving 2.9 million people across the South West YTL Developments - a major UK developer currently redeveloping a 350-acre former airfield into an award winning, exciting mix of houses, apartments, schools, commercial space, restaurants and hotels, to make a truly sustainable new community YTL Construction UK - a top 20 UK contractor providing fully integrated services to infrastructure, residential, commercial, industry, energy and environmental sectors YTL Live - the development and operation of an entertainment complex that includes a 20,000 capacity arena, conferencing and exhibition space plus a number of other retail,environmental and specialist businesses. Our people tell us that YTL UK is a great place to work, which is why so many of them stay with us! You will have a unique opportunity to develop and progress your career within such a diverse group. We are passionate about diversity and inclusion - with that in mind, all applicants are welcome. We are delighted to have signed the Armed Forces Covenant and are a Disability Confident Employer. If you require reasonable adjustments to be made during the recruitment process, please inform a member of our Recruitment team.
Apr 10, 2026
Full time
In this new and exciting role, reporting to the Cyber Security Engineering Team Leader, you will implement, configure, and maintain security controls across the YTL UK Group's on-premises and cloud technology environments. The role supports the delivery of a secure baseline through recognised security engineering practices, contributing to secure build processes and optimisation activities. You will need strong technical capability in Microsoft Azure and on-premises Active Directory environments, with the ability to implement and maintain secure configurations in alignment with defined standards and architectural guidance. What you'll do You will: work with project, IT and Security teams to ensure security requirements are embedded within new deployments in accordance with agreed standards implement and maintain system configurations across supported operating systems in alignment with build standards and baselines perform configuration hardening activities and remediation of non compliant systems to support adherence to security standards assist in maintaining visibility of compliance against secure build baselines through validation and reporting activities design, develop and maintain automation scripts and configurations to support security controls, configuration baselines and compliance validation activities implement automation and orchestration capabilities to improve consistency, repeatability and efficiency of security engineering tasks, and contribute to the continual improvement of automated security controls implement and maintain cloud security configurations in alignment with defined baselines and architectural standards, enforcing secure configuration practices across Azure and related platforms collaborate with the IdAM and IT teams to support secure identity configuration within Azure/Entra ID environments conduct cloud security configuration reviews and assessments, identifying misconfigurations and control gaps, and execute remediation activities in coordination with relevant teams review security configurations for on premises virtual machines and hypervisor platforms in alignment with secure build standards, performing configuration reviews to address identified gaps contribute to the continual improvement of on premises security controls by identifying optimisation opportunities and escalating issues where appropriate configure, integrate and maintain enterprise security platforms and tooling, including endpoint protection, SIEM, EDR/XDR, CASB and related monitoring technologies optimise tool configurations, policies and telemetry collection support Security Operations by analysing platform performance, tuning configurations and resolving issues impacting detection capability provide technical input to security architecture and infrastructure teams by identifying practical security enhancements and configuration improvements advise and support secure configuration of technologies, including Active Directory, Azure/Entra ID, PKI, PAM/PIM, authentication services and application platforms support the secure deployment and configuration of new services to ensure alignment with established baselines contribute technical input to asset discovery and inventory tooling to improve visibility across the estate, integrating and configuring security tooling to ensure accurate asset identification and telemetry coverage utilise defined asset management processes to support accurate tracking of systems and security control coverage, identifying visibility gaps and escalating as required provide technical engineering support to Security Operations during incident response activities, including implementing mitigating controls, configuration changes and defensive enhancements be willing to participate in an out of hours technical support rota for high severity incidents, supporting post incident analysis by ensuring relevant configuration and telemetry information is available support threat hunting and detection improvement initiatives by implementing control adjustments, configuration updates or blocking mechanisms in response to IOCs assist with compliance activities and audit requests by providing technical evidence, configuration details and remediation updates collaborate with Security Operations, IdAM, Purple Team and infrastructure colleagues to provide practical guidance on configuration and control implementation contribute engineering insight to projects and operational activities to ensure security requirements are implemented effectively support colleagues in understanding secure configuration standards and applied controls within their respective technology domains. What you'll need We are looking for: demonstrable knowledge of security engineering standards, practices and secure configuration principles solid understanding of core security concepts, including defence in depth, least privilege, segmentation and identity centric security models proven hands on experience deploying, configuring and maintaining enterprise security technologies and platforms experience contributing to IT and cyber security projects involving the implementation of new controls or security enhancements practical understanding of identity and access control principles and their role in maintaining confidentiality, integrity and availability strong written communication skills for producing technical documentation, configuration standards and implementation guidance clear verbal communication skills, able to explain configuration requirements to technical and non technical stakeholders ability to collaborate effectively across infrastructure, cloud and operational teams experience supporting security investigations, including troubleshooting, remediation implementation and control adjustment practical awareness of common cyber threats and experience implementing configuration based mitigations working knowledge of cloud platforms (e.g., Azure) and cloud security principles, including identity, configuration management and monitoring controls hands on experience with Microsoft Windows (desktop and server) environments, with working knowledge of Unix and Linux systems. What you'll receive A combined pension contribution of up to 20%. Career progression and professional development opportunities. 25 days' holiday rising to 28 with length of service. The opportunity to sell up to five days of holiday every year. The opportunity to buy up to ten days of holiday each year (subject to conditions). A healthcare package that allows you to claim back healthcare costs. Life assurance of up to eight times your salary. The opportunity to lease a new electric car through salary sacrifice (subject to conditions). Cashback and discounts from more than 3,000 retailers. One paid volunteering day each year. Enhanced family leave and pay arrangements. Access toan interactive health and wellbeing platform. Support from trainedmental health first aiders. A £1,000 referral fee if you recommend someone who is successfully recruited by us. Who we are YTL UK is part of the international YTL Group based in Kuala Lumpur. The UK companies include: Wessex Water - one of the top-performing water and sewerage companies in England and Wales, serving 2.9 million people across the South West YTL Developments - a major UK developer currently redeveloping a 350-acre former airfield into an award winning, exciting mix of houses, apartments, schools, commercial space, restaurants and hotels, to make a truly sustainable new community YTL Construction UK - a top 20 UK contractor providing fully integrated services to infrastructure, residential, commercial, industry, energy and environmental sectors YTL Live - the development and operation of an entertainment complex that includes a 20,000 capacity arena, conferencing and exhibition space plus a number of other retail,environmental and specialist businesses. Our people tell us that YTL UK is a great place to work, which is why so many of them stay with us! You will have a unique opportunity to develop and progress your career within such a diverse group. We are passionate about diversity and inclusion - with that in mind, all applicants are welcome. We are delighted to have signed the Armed Forces Covenant and are a Disability Confident Employer. If you require reasonable adjustments to be made during the recruitment process, please inform a member of our Recruitment team.
Lead AWS DevOps Engineer Leeds (on-site 1x per week) £650/day (Inside IR35) 7-month contract Start: ASAP About the Role We're looking for an experiencedAWS DevOps Engineerto take a lead role in building, automating, and supporting cloud-native infrastructure within theNHS/public sector. You'll be key to ensuring our platforms aresecure, scalable, and observable- driving automation and reliability across systems that directly support healthcare delivery. What You'll Be Doing Designing and managing Kubernetes clusters (including Helm chart configuration). Building and automating AWS infrastructure with Terraform. Implementing and maintaining observability solutions using Grafana & Prometheus. Administering Linux systems and developing automation scripts (Bash, Python). Championing DevOps best practice across teams. Collaborating with NHS stakeholders to ensure secure and compliant delivery. What We're Looking For Experience working within theNHS or wider public sector (healthcare focus preferred). Strong hands on expertise withKubernetes & Helm. AdvancedAWS & Terraformskills for Infrastructure as Code. Proven track record withobservability tooling(Grafana, Prometheus). StrongLinux adminand scripting/automation skills. Nice to Have CI/CD pipeline experience (GitHub Actions, Jenkins, CircleCI). Knowledge of cloud security & compliance best practices. Exposure to other cloud platforms (Azure, GCP). Interested? Apply now or reach out directly:
Apr 10, 2026
Full time
Lead AWS DevOps Engineer Leeds (on-site 1x per week) £650/day (Inside IR35) 7-month contract Start: ASAP About the Role We're looking for an experiencedAWS DevOps Engineerto take a lead role in building, automating, and supporting cloud-native infrastructure within theNHS/public sector. You'll be key to ensuring our platforms aresecure, scalable, and observable- driving automation and reliability across systems that directly support healthcare delivery. What You'll Be Doing Designing and managing Kubernetes clusters (including Helm chart configuration). Building and automating AWS infrastructure with Terraform. Implementing and maintaining observability solutions using Grafana & Prometheus. Administering Linux systems and developing automation scripts (Bash, Python). Championing DevOps best practice across teams. Collaborating with NHS stakeholders to ensure secure and compliant delivery. What We're Looking For Experience working within theNHS or wider public sector (healthcare focus preferred). Strong hands on expertise withKubernetes & Helm. AdvancedAWS & Terraformskills for Infrastructure as Code. Proven track record withobservability tooling(Grafana, Prometheus). StrongLinux adminand scripting/automation skills. Nice to Have CI/CD pipeline experience (GitHub Actions, Jenkins, CircleCI). Knowledge of cloud security & compliance best practices. Exposure to other cloud platforms (Azure, GCP). Interested? Apply now or reach out directly:
Trades Workforce Solutions
City Of Westminster, London
A leading technology solutions provider is seeking a skilled Network Engineer to work on innovative Azure cloud and on-prem network infrastructure projects. Candidates should have a minimum of 5 years' experience with strong skills in routing, switching, and troubleshooting. Experience with firewalls (Fortigate, Palo Alto) and F5 Big-IP is preferred. This is a great opportunity to join a collaborative team and enhance your skills in digital transformation initiatives.
Apr 10, 2026
Full time
A leading technology solutions provider is seeking a skilled Network Engineer to work on innovative Azure cloud and on-prem network infrastructure projects. Candidates should have a minimum of 5 years' experience with strong skills in routing, switching, and troubleshooting. Experience with firewalls (Fortigate, Palo Alto) and F5 Big-IP is preferred. This is a great opportunity to join a collaborative team and enhance your skills in digital transformation initiatives.
A leading SaaS company in Central London is seeking a Staff MLOps Engineer to design and build AI infrastructure for intelligent products. This hybrid role involves collaborating across teams, managing MLOps systems, and automating ML model lifecycles. The ideal candidate will have strong MLOps experience, proficiency in Python and cloud platforms, and a passion for scalable systems. Benefits include a competitive salary of up to £150,000, 25 days annual leave, and career progression opportunities.
Apr 10, 2026
Full time
A leading SaaS company in Central London is seeking a Staff MLOps Engineer to design and build AI infrastructure for intelligent products. This hybrid role involves collaborating across teams, managing MLOps systems, and automating ML model lifecycles. The ideal candidate will have strong MLOps experience, proficiency in Python and cloud platforms, and a passion for scalable systems. Benefits include a competitive salary of up to £150,000, 25 days annual leave, and career progression opportunities.
The Chief Operating Officer is the Trust's key executive leader for all operational domains (People; Estates & Capital; Digital & Technology; Governance & Compliance; Commercial & Business Services). Working with, and deputising for, the CEO, they will ensure that the Trust operates consistently as a data-informed, single organisation; ensuring we are structured, equipped, and ready to deliver on our educational priorities and growth ambitions. With regard to leading operations; the role is about engineering the conditions for excellence, building a scalable operating model for a Trust with aspirations to grow, and ensuring that every aspect of ESF's infrastructure, systems and resources strengthens teaching, learning, inclusion, and impact. You will lead transformation of Trust's operational architecture, across multiple disciplines to facilitate an agile organization; working closely with executive stakeholders, their direct reports and Trustees to ensure that operational systems and resources (people, data, estates, and digital tools) are aligned to our mission and deliver maximum value for learners, staff, and communities. Key Responsibilities 1. Strategic Operational Leadership Lead and execute a Trust-wide operational strategy aligned to educational priorities Translate vision into measurable objectives and aligned operational delivery Shape a long-term scalable operating model Provide expert, data-driven, evidence-informed advice to CEO and Trustees Deputise for the CEO when required, including external representation 2. Financial Stewardship Support the CFO in ensuring strong internal controls, audit and risk frameworks enabling the prompt resolution of audit actions Deliver value for money and long-term financial resilience within the operational context Support Trustees and Audit & Risk Committee with high-quality reporting Working with the CFO, support the CEO in their oversight of financial planning, forecasting and sustainability compliance with DfE requirements and the Academy Trust Handbook 3. Building an Operating Model for Scale Embed service standards and performance frameworks across operational domains Enable delivery of data dashboards and real-time performance insight and decision making Drive digital-first, automated and collaborative systems Enable the development of systems that eliminate duplication and improve cost-to-serve Align central and site-based operational functions 4. People, Culture & Workforce Enable delivery of the Trust's People Strategy Create an environment where leadership capability and succession pipelines are facilitated and enabled Strengthen workforce planning and staff wellbeing through the leadership of their team Embed a high-performance, high-trust culture 5. Digital, Data & Technology Enable digital transformation of the Trust and across all areas, including AI deployment, to meet organisational priorities and aligned with national strategy. Drive a strategy where cloud-first and automated systems are effective and seen as routine solutions Lead and embed a culture that develops a cyber-threat awareness and strengthens resilience Ensure appropriate digital tools are selected, procured, implemented and evaluated so that teaching, leadership and governance are facilitated and improved 6. Estates, Infrastructure & Capital Lead long-term estates and capital strategy Ensure compliance, maintenance, sustainability and innovation Lead the delivery of capital projects on time and on budget Secure external funding (including, but not limited to, SCA.) Ensure full statutory compliance across all sites 7. Corporate Services & Governance Ensure high-quality central administrative and analytics services Provide Trustees with assurance, transparency and oversight Maintain effective systems to record and document governance decision making and responsibilities Ensure compliance with charity law, company law and data protection 8. Growth, Integration & Change Lead due diligence for prospective schools Lead the development of integration success measures on adoption of new schools, supporting their assimilation through effective deployment of operational resources Deliver transformational change programmes Ensure infrastructure is capable of supporting a growth trajectory
Apr 10, 2026
Full time
The Chief Operating Officer is the Trust's key executive leader for all operational domains (People; Estates & Capital; Digital & Technology; Governance & Compliance; Commercial & Business Services). Working with, and deputising for, the CEO, they will ensure that the Trust operates consistently as a data-informed, single organisation; ensuring we are structured, equipped, and ready to deliver on our educational priorities and growth ambitions. With regard to leading operations; the role is about engineering the conditions for excellence, building a scalable operating model for a Trust with aspirations to grow, and ensuring that every aspect of ESF's infrastructure, systems and resources strengthens teaching, learning, inclusion, and impact. You will lead transformation of Trust's operational architecture, across multiple disciplines to facilitate an agile organization; working closely with executive stakeholders, their direct reports and Trustees to ensure that operational systems and resources (people, data, estates, and digital tools) are aligned to our mission and deliver maximum value for learners, staff, and communities. Key Responsibilities 1. Strategic Operational Leadership Lead and execute a Trust-wide operational strategy aligned to educational priorities Translate vision into measurable objectives and aligned operational delivery Shape a long-term scalable operating model Provide expert, data-driven, evidence-informed advice to CEO and Trustees Deputise for the CEO when required, including external representation 2. Financial Stewardship Support the CFO in ensuring strong internal controls, audit and risk frameworks enabling the prompt resolution of audit actions Deliver value for money and long-term financial resilience within the operational context Support Trustees and Audit & Risk Committee with high-quality reporting Working with the CFO, support the CEO in their oversight of financial planning, forecasting and sustainability compliance with DfE requirements and the Academy Trust Handbook 3. Building an Operating Model for Scale Embed service standards and performance frameworks across operational domains Enable delivery of data dashboards and real-time performance insight and decision making Drive digital-first, automated and collaborative systems Enable the development of systems that eliminate duplication and improve cost-to-serve Align central and site-based operational functions 4. People, Culture & Workforce Enable delivery of the Trust's People Strategy Create an environment where leadership capability and succession pipelines are facilitated and enabled Strengthen workforce planning and staff wellbeing through the leadership of their team Embed a high-performance, high-trust culture 5. Digital, Data & Technology Enable digital transformation of the Trust and across all areas, including AI deployment, to meet organisational priorities and aligned with national strategy. Drive a strategy where cloud-first and automated systems are effective and seen as routine solutions Lead and embed a culture that develops a cyber-threat awareness and strengthens resilience Ensure appropriate digital tools are selected, procured, implemented and evaluated so that teaching, leadership and governance are facilitated and improved 6. Estates, Infrastructure & Capital Lead long-term estates and capital strategy Ensure compliance, maintenance, sustainability and innovation Lead the delivery of capital projects on time and on budget Secure external funding (including, but not limited to, SCA.) Ensure full statutory compliance across all sites 7. Corporate Services & Governance Ensure high-quality central administrative and analytics services Provide Trustees with assurance, transparency and oversight Maintain effective systems to record and document governance decision making and responsibilities Ensure compliance with charity law, company law and data protection 8. Growth, Integration & Change Lead due diligence for prospective schools Lead the development of integration success measures on adoption of new schools, supporting their assimilation through effective deployment of operational resources Deliver transformational change programmes Ensure infrastructure is capable of supporting a growth trajectory
Senior Cloud Engineer Department: Technology - Engineering Employment Type: Full Time Location: Manchester Description Responsible for leading and coordinating deliveries and designs for medium to large features or engineering problems in the Cloud and Developer Experience space. Works confidently and effectively, and persists when faced with uncertainty or ambiguity. Pulls in support from around the company where needed, including from internal customers and stakeholders Key Responsibilities Own large technical components. Write high-quality code (appropriate style, patterns, organisation, comments, testability) with feedback and support. Follow well-known principles when appropriate e.g. KISS, DRY, SOLID. Test code thoroughly and proactively, and use good practices with feedback and support. Create small and manageable pull requests. Build loosely coupled components. Able to design and implement systems that comprise of multiple technical components for a given set of features Actively participate in requirements gathering and solution design. Communicate engineering choices/concerns. Consider non-functional requirements, and promote good resilience, performance, security, observability, and auditability practices to help other engineers deepen their knowledge. Document and share designs. Ensure the designs are peer-reviewed and/or reviewed as part of the appropriate forums, including through Technology Design Authority (TDA) when appropriate. Understand continuous integration and the value of integrating small chunks of code into the main branch frequently Proactively communicate progress to your team. Use your experience to unblock yourself on time. Rely on documentation, forums, and technical knowledge to resolve blockers. Clearly and confidently articulate the risk of technical problems to non-technical stakeholders (e.g. legal, compliance). Consider the impact that your work has on the product, business or customer. Demonstrate detailed -SME- knowledge in several domains. Actively engage in the roadmap development with your team. Use your understanding of system functionality to identify large limitations and impactful enhancements. Lead discussions on new or existing tools, technologies, automation, and engineering practices while being pragmatic in what can be changed or introduced vs what needs to be delivered. Demonstrate tools/frameworks, and new practices to the wider software engineering chapter (community of practice). Take part in initiatives to improve the practices of the engineering discipline. Skills, Knowledge & Expertise Strong experience with AWS, Terraform and GtiHub Actions (or similar tooling). Strong understanding of cloud architectures with a focus on efficiency, automation, resilience and auditability. Ability to write tests and testable code. Ability to write concise and precise documentation. Strong experience with distributed version control systems (e.g. Git). Experience in building and maintaining infrastructure as code and shared Platform tooling. Experience working with and cultivating an Agile approach. Experience of practical FinOps and cloud cost control. Experience of Azure cloud. Advanced numerate degree Technology Stack Git and GitHub Postman Slack/Email JIRA/Confluence VPN PyCharm / VS Code Job Benefits Competitive salary Incentive Bonus Company Car Scheme 25 days holiday PLUS your BIRTHDAY off Pension contribution with Royal London Life Assurance Private medical, dental and optical health insurance with Axa Hybrid working - Wrexham Free breakfast available
Apr 10, 2026
Full time
Senior Cloud Engineer Department: Technology - Engineering Employment Type: Full Time Location: Manchester Description Responsible for leading and coordinating deliveries and designs for medium to large features or engineering problems in the Cloud and Developer Experience space. Works confidently and effectively, and persists when faced with uncertainty or ambiguity. Pulls in support from around the company where needed, including from internal customers and stakeholders Key Responsibilities Own large technical components. Write high-quality code (appropriate style, patterns, organisation, comments, testability) with feedback and support. Follow well-known principles when appropriate e.g. KISS, DRY, SOLID. Test code thoroughly and proactively, and use good practices with feedback and support. Create small and manageable pull requests. Build loosely coupled components. Able to design and implement systems that comprise of multiple technical components for a given set of features Actively participate in requirements gathering and solution design. Communicate engineering choices/concerns. Consider non-functional requirements, and promote good resilience, performance, security, observability, and auditability practices to help other engineers deepen their knowledge. Document and share designs. Ensure the designs are peer-reviewed and/or reviewed as part of the appropriate forums, including through Technology Design Authority (TDA) when appropriate. Understand continuous integration and the value of integrating small chunks of code into the main branch frequently Proactively communicate progress to your team. Use your experience to unblock yourself on time. Rely on documentation, forums, and technical knowledge to resolve blockers. Clearly and confidently articulate the risk of technical problems to non-technical stakeholders (e.g. legal, compliance). Consider the impact that your work has on the product, business or customer. Demonstrate detailed -SME- knowledge in several domains. Actively engage in the roadmap development with your team. Use your understanding of system functionality to identify large limitations and impactful enhancements. Lead discussions on new or existing tools, technologies, automation, and engineering practices while being pragmatic in what can be changed or introduced vs what needs to be delivered. Demonstrate tools/frameworks, and new practices to the wider software engineering chapter (community of practice). Take part in initiatives to improve the practices of the engineering discipline. Skills, Knowledge & Expertise Strong experience with AWS, Terraform and GtiHub Actions (or similar tooling). Strong understanding of cloud architectures with a focus on efficiency, automation, resilience and auditability. Ability to write tests and testable code. Ability to write concise and precise documentation. Strong experience with distributed version control systems (e.g. Git). Experience in building and maintaining infrastructure as code and shared Platform tooling. Experience working with and cultivating an Agile approach. Experience of practical FinOps and cloud cost control. Experience of Azure cloud. Advanced numerate degree Technology Stack Git and GitHub Postman Slack/Email JIRA/Confluence VPN PyCharm / VS Code Job Benefits Competitive salary Incentive Bonus Company Car Scheme 25 days holiday PLUS your BIRTHDAY off Pension contribution with Royal London Life Assurance Private medical, dental and optical health insurance with Axa Hybrid working - Wrexham Free breakfast available
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side by side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Overview We're seeking an experienced AI Engineer to design, build, and deploy production grade AI systems powered by large language models. This role sits at the intersection of software engineering and AI implementation, focusing on building reliable, scalable applications rather than model training or research. You'll work with cutting edge LLM technologies, building advanced AI systems that solve complex real world problems through multi agent orchestration, intelligent tool integration, and robust production workflows. You'll be crafting the orchestration layer that makes these systems production ready-handling failure modes, optimizing agent collaboration, and ensuring consistent, reliable outputs at scale. You'll combine strong software engineering fundamentals with deep practical knowledge of LLM capabilities, limitations, and best practices for building non deterministic systems that users can trust. Responsibilities Design and implement production AI systems integrating LLMs, RAG pipelines, vector databases, and agentic frameworks. Create evaluation frameworks to measure and monitor system performance, accuracy, and reliability Build and maintain production grade AI applications with clean code, appropriate error handling, APIs, and data pipelines Experience implementing, maintaining and evaluating retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, retrieval techniques such as HyDE) Implement feedback loops and observability to continuously improve system performance Craft effective prompts and optimize for latency, cost, and quality across different model providers and configurations Required Skills and Experience Hands on experience building applications with LLM APIs and deep understanding of their capabilities, limitations, and failure modes Practical implementation of RAG architectures, vector databases, knowledge graphs and prompt engineering Experience building multi step LLM workflows and agentic systems using frameworks (e.g. SDK, Strands, Claude Agents SDK, LangGraph, etc.) or custom implementations where needed Strong Python (or other modern programming language) proficiency with production API/service development experience and cloud platform knowledge (AWS, GCP, Azure) Understanding of distributed systems, CI/CD, testing frameworks, and deployment pipelines Solid foundations and understanding of production grade, cloud native platform and infrastructure requirements, design, and implementation. Strong data manipulation skills (pandas, SQL) and understanding of evaluation strategies for LLM based systems Ability to work with ambiguity and optimise non deterministic systems through a process of experimentation and evaluation while balancing latency/cost/quality tradeoffs Nice to Haves Experience with AI assisted coding using tools like Claude Code, OpenAI Codex, Github Copilot Experience with fine tuning LLMs for domain specific applications and knowledge of when fine tuning is preferable to prompt engineering or RAG Experience with real time streaming, multimodal models, or search technologies like Elasticsearch Familiarity with model observability tools (LangSmith, Weights & Biases) and cost optimization strategies Experience in specialized verticals (financial services, energy, healthcare, legal, retail) with understanding of compliance, security, and responsible AI practices Experience with setting up tool calling agents, handoffs, and guardrails Why Indicium AI Fast growing start up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget
Apr 10, 2026
Full time
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side by side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Overview We're seeking an experienced AI Engineer to design, build, and deploy production grade AI systems powered by large language models. This role sits at the intersection of software engineering and AI implementation, focusing on building reliable, scalable applications rather than model training or research. You'll work with cutting edge LLM technologies, building advanced AI systems that solve complex real world problems through multi agent orchestration, intelligent tool integration, and robust production workflows. You'll be crafting the orchestration layer that makes these systems production ready-handling failure modes, optimizing agent collaboration, and ensuring consistent, reliable outputs at scale. You'll combine strong software engineering fundamentals with deep practical knowledge of LLM capabilities, limitations, and best practices for building non deterministic systems that users can trust. Responsibilities Design and implement production AI systems integrating LLMs, RAG pipelines, vector databases, and agentic frameworks. Create evaluation frameworks to measure and monitor system performance, accuracy, and reliability Build and maintain production grade AI applications with clean code, appropriate error handling, APIs, and data pipelines Experience implementing, maintaining and evaluating retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, retrieval techniques such as HyDE) Implement feedback loops and observability to continuously improve system performance Craft effective prompts and optimize for latency, cost, and quality across different model providers and configurations Required Skills and Experience Hands on experience building applications with LLM APIs and deep understanding of their capabilities, limitations, and failure modes Practical implementation of RAG architectures, vector databases, knowledge graphs and prompt engineering Experience building multi step LLM workflows and agentic systems using frameworks (e.g. SDK, Strands, Claude Agents SDK, LangGraph, etc.) or custom implementations where needed Strong Python (or other modern programming language) proficiency with production API/service development experience and cloud platform knowledge (AWS, GCP, Azure) Understanding of distributed systems, CI/CD, testing frameworks, and deployment pipelines Solid foundations and understanding of production grade, cloud native platform and infrastructure requirements, design, and implementation. Strong data manipulation skills (pandas, SQL) and understanding of evaluation strategies for LLM based systems Ability to work with ambiguity and optimise non deterministic systems through a process of experimentation and evaluation while balancing latency/cost/quality tradeoffs Nice to Haves Experience with AI assisted coding using tools like Claude Code, OpenAI Codex, Github Copilot Experience with fine tuning LLMs for domain specific applications and knowledge of when fine tuning is preferable to prompt engineering or RAG Experience with real time streaming, multimodal models, or search technologies like Elasticsearch Familiarity with model observability tools (LangSmith, Weights & Biases) and cost optimization strategies Experience in specialized verticals (financial services, energy, healthcare, legal, retail) with understanding of compliance, security, and responsible AI practices Experience with setting up tool calling agents, handoffs, and guardrails Why Indicium AI Fast growing start up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget
Platform Engineer London Hybrid A London based digital assets and trading technology firm is looking for a Platform Engineer to join their infrastructure team. The company operates in the crypto currency and market infrastructure space, building systems that process large volumes of market and web data in real time. The engineering environment is fast paced and highly technical, with small teams working closely together to improve reliability, automation, and platform performance. This role sits at the intersection of infrastructure and development, supporting cloud platforms that power globally distributed systems. Engineers are encouraged to take ownership of infrastructure, build automation, and work closely with other teams to continuously improve the platform. Tech Environment AWS Kubernetes Docker Terraform Linux Python Bash CI/CD Prometheus Grafana What You Will Work On Running and improving AWS based infrastructure supporting distributed production systems. Building and maintaining Infrastructure as Code using Terraform. Operating and troubleshooting Linux based systems and containerised workloads. Improving observability and reliability using monitoring and alerting tools. Developing scripts or internal tooling to automate operational tasks. Working closely with developers and infrastructure engineers on platform improvements. What They Are Looking For Around 2+ years experience in platform engineering, DevOps, infrastructure, or SRE environments. Experience working with AWS or other cloud infrastructure. Strong Linux fundamentals and understanding of networking basics. Some development or scripting experience such as Python or Bash. Engineers who enjoy understanding how systems work end to end and who are comfortable working across infrastructure and development. Nice to Have Experience with Kubernetes or container platforms. Experience with monitoring tools such as Prometheus or Grafana. Experience with Infrastructure as Code tools such as Terraform. Interest in digital assets, trading systems, or financial markets.
Apr 10, 2026
Full time
Platform Engineer London Hybrid A London based digital assets and trading technology firm is looking for a Platform Engineer to join their infrastructure team. The company operates in the crypto currency and market infrastructure space, building systems that process large volumes of market and web data in real time. The engineering environment is fast paced and highly technical, with small teams working closely together to improve reliability, automation, and platform performance. This role sits at the intersection of infrastructure and development, supporting cloud platforms that power globally distributed systems. Engineers are encouraged to take ownership of infrastructure, build automation, and work closely with other teams to continuously improve the platform. Tech Environment AWS Kubernetes Docker Terraform Linux Python Bash CI/CD Prometheus Grafana What You Will Work On Running and improving AWS based infrastructure supporting distributed production systems. Building and maintaining Infrastructure as Code using Terraform. Operating and troubleshooting Linux based systems and containerised workloads. Improving observability and reliability using monitoring and alerting tools. Developing scripts or internal tooling to automate operational tasks. Working closely with developers and infrastructure engineers on platform improvements. What They Are Looking For Around 2+ years experience in platform engineering, DevOps, infrastructure, or SRE environments. Experience working with AWS or other cloud infrastructure. Strong Linux fundamentals and understanding of networking basics. Some development or scripting experience such as Python or Bash. Engineers who enjoy understanding how systems work end to end and who are comfortable working across infrastructure and development. Nice to Have Experience with Kubernetes or container platforms. Experience with monitoring tools such as Prometheus or Grafana. Experience with Infrastructure as Code tools such as Terraform. Interest in digital assets, trading systems, or financial markets.
Join the Growth Story at Envitia Envitia operates at the heart of the UK's most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We're thrilled to announce that Envitia has been named one of the Sunday Times Top 100 Medium-Sized Companies to Work For in 2025-a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Engineer to join our Security and Intelligence consulting team, who will be responsible for designing, building and maintaining secure, scalable data platforms and pipelines that enable advanced analytics and operational intelligence capabilities. The role focuses on engineering robust data architectures capable of ingesting, processing and distributing large-scale datasets, supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production grade data solutions. Typical engagements include: Engineering large scale data ingestion and processing pipelines Designing data lakes and distributed data platforms Enabling analytics and AI/ML workloads Supporting intelligence data exploitation workflows Integrating multiple classified data sources across secure environments Job Responsibilities Design, build and maintain secure, scalable data platforms capable of processing large volumes of operational data. Develop and operate robust data lakes and distributed data processing environments within secure or regulated settings. Engineer high performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems. Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use. Build scalable, distributed data processing solutions using modern big data and parallel processing technologies. Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms. Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes. Optimise data storage and processing architectures to support high performance analytical environments. Contribute to DevSecOps and cloud native delivery, including automated deployment, infrastructure provisioning and containerised environments. Support the ongoing operation, observability and resilience of production data platforms. Skills Required Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL. Hands on experience building and operating large scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop). Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools. Experience working with cloud native data platforms, with strong expertise in AWS and native data services. Familiarity with Infrastructure as Code and modern cloud native data architectures. Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, and observability/monitoring tooling. Ability to work directly with stakeholders to understand data requirements and translate them into robust, scalable data engineering solutions. Comfortable working in secure, regulated or constrained environments, delivering solutions within complex operational settings. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations - Gloucester, London, Manchester (based on project requirements). What's in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well being. More time for you:Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most. Private Medical Insurance:We've got you covered with comprehensive private healthcare, including family options for added peace of mind. Security Clearance Bonus:Up to £5,000 year Career growth that keeps you ahead:We invest in your future with ongoing training and development, so you're always learning, growing and staying ahead of the curve. Wellness that works for you:Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness-related expenses. Life Assurance:Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present. Smarter Retirement Planning:Plan for your future with our pension options and resources to help build a secure financial foundation. Perkbox:Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services. Recognition that counts:Great work doesn't go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine. Give back and get involved:Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work life balance. If you require any accommodations during the application or interview process, please let us know.
Apr 10, 2026
Full time
Join the Growth Story at Envitia Envitia operates at the heart of the UK's most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We're thrilled to announce that Envitia has been named one of the Sunday Times Top 100 Medium-Sized Companies to Work For in 2025-a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Engineer to join our Security and Intelligence consulting team, who will be responsible for designing, building and maintaining secure, scalable data platforms and pipelines that enable advanced analytics and operational intelligence capabilities. The role focuses on engineering robust data architectures capable of ingesting, processing and distributing large-scale datasets, supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production grade data solutions. Typical engagements include: Engineering large scale data ingestion and processing pipelines Designing data lakes and distributed data platforms Enabling analytics and AI/ML workloads Supporting intelligence data exploitation workflows Integrating multiple classified data sources across secure environments Job Responsibilities Design, build and maintain secure, scalable data platforms capable of processing large volumes of operational data. Develop and operate robust data lakes and distributed data processing environments within secure or regulated settings. Engineer high performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems. Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use. Build scalable, distributed data processing solutions using modern big data and parallel processing technologies. Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms. Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes. Optimise data storage and processing architectures to support high performance analytical environments. Contribute to DevSecOps and cloud native delivery, including automated deployment, infrastructure provisioning and containerised environments. Support the ongoing operation, observability and resilience of production data platforms. Skills Required Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL. Hands on experience building and operating large scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop). Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools. Experience working with cloud native data platforms, with strong expertise in AWS and native data services. Familiarity with Infrastructure as Code and modern cloud native data architectures. Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, and observability/monitoring tooling. Ability to work directly with stakeholders to understand data requirements and translate them into robust, scalable data engineering solutions. Comfortable working in secure, regulated or constrained environments, delivering solutions within complex operational settings. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations - Gloucester, London, Manchester (based on project requirements). What's in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well being. More time for you:Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most. Private Medical Insurance:We've got you covered with comprehensive private healthcare, including family options for added peace of mind. Security Clearance Bonus:Up to £5,000 year Career growth that keeps you ahead:We invest in your future with ongoing training and development, so you're always learning, growing and staying ahead of the curve. Wellness that works for you:Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness-related expenses. Life Assurance:Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present. Smarter Retirement Planning:Plan for your future with our pension options and resources to help build a secure financial foundation. Perkbox:Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services. Recognition that counts:Great work doesn't go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine. Give back and get involved:Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work life balance. If you require any accommodations during the application or interview process, please let us know.
Staff MLOps Engineer (AI Infrastructure & ML Platforms) London (Hybrid) Up to £150,000 We've partnered with a fast?growing, Private Equity-backed SaaS company based in Central London that's building the next generation of AI infrastructure to support intelligent products and ML systems at scale. They're looking for an experienced Staff MLOps / AI Infrastructure Engineer to help design, build, and operate the infrastructure that supports training, deployment, monitoring, and scaling of AI models across the organisation's portfolio of products. This is a high?impact role within a new AI platforms squad, working with modern toolchains across cloud environments, LLMOps ecosystems, and DevOps?centric engineering practises. What you'll be doing As their Staff MLOps Engineer, you'll be responsible for building and owning core AI/ML infrastructure, ensuring models and systems operate reliably and efficiently in production: Design and maintain end-to-end MLOps systems for training, deployment, and monitoring Build and manage CI/CD pipelines for ML model lifecycle automation Collaborate with AI/ML, backend, and DevOps teams to deliver scalable, secure infrastructure Implement observability and monitoring for model performance, reliability, and data drift Manage cloud and container infrastructure (AWS, Terraform, Kubernetes, Docker, serverless) Define infrastructure standards and best practices, with clear documentation Mentor engineers on MLOps and DevOps tools, workflows, and practices What they're looking for Strong experience in MLOps, AI infrastructure, or DevOps for ML systems Skilled in Python, cloud platforms, CI/CD, and container orchestration Experience with ML frameworks and tooling (MLflow, Kubeflow, SageMaker, Vertex AI, or similar) Passion for building scalable, reliable, production ML systems What's in it for you Salary: up to £150,000 Work on a greenfield AI infrastructure platform that enables intelligent products Hybrid working: typically two days per week in Central London Benefits: 25 days annual leave, enhanced pension plan, medical insurance, paid parental leave, and more Join a rapidly growing team with clear career progression opportunities If you're passionate about building robust, scalable MLOps and AI infrastructure for large?scale ML systems, and enjoy collaborating across engineering and product teams, this is an excellent opportunity to make a lasting impact. Apply now to find out more.
Apr 10, 2026
Full time
Staff MLOps Engineer (AI Infrastructure & ML Platforms) London (Hybrid) Up to £150,000 We've partnered with a fast?growing, Private Equity-backed SaaS company based in Central London that's building the next generation of AI infrastructure to support intelligent products and ML systems at scale. They're looking for an experienced Staff MLOps / AI Infrastructure Engineer to help design, build, and operate the infrastructure that supports training, deployment, monitoring, and scaling of AI models across the organisation's portfolio of products. This is a high?impact role within a new AI platforms squad, working with modern toolchains across cloud environments, LLMOps ecosystems, and DevOps?centric engineering practises. What you'll be doing As their Staff MLOps Engineer, you'll be responsible for building and owning core AI/ML infrastructure, ensuring models and systems operate reliably and efficiently in production: Design and maintain end-to-end MLOps systems for training, deployment, and monitoring Build and manage CI/CD pipelines for ML model lifecycle automation Collaborate with AI/ML, backend, and DevOps teams to deliver scalable, secure infrastructure Implement observability and monitoring for model performance, reliability, and data drift Manage cloud and container infrastructure (AWS, Terraform, Kubernetes, Docker, serverless) Define infrastructure standards and best practices, with clear documentation Mentor engineers on MLOps and DevOps tools, workflows, and practices What they're looking for Strong experience in MLOps, AI infrastructure, or DevOps for ML systems Skilled in Python, cloud platforms, CI/CD, and container orchestration Experience with ML frameworks and tooling (MLflow, Kubeflow, SageMaker, Vertex AI, or similar) Passion for building scalable, reliable, production ML systems What's in it for you Salary: up to £150,000 Work on a greenfield AI infrastructure platform that enables intelligent products Hybrid working: typically two days per week in Central London Benefits: 25 days annual leave, enhanced pension plan, medical insurance, paid parental leave, and more Join a rapidly growing team with clear career progression opportunities If you're passionate about building robust, scalable MLOps and AI infrastructure for large?scale ML systems, and enjoy collaborating across engineering and product teams, this is an excellent opportunity to make a lasting impact. Apply now to find out more.
A charitable organization in Reading is seeking a Senior Infrastructure Engineer to lead on the next stage of their technology journey. In this full-time position, you will deliver performant infrastructure for a vulnerable user group while developing critical documentation and engaging stakeholders. Hybrid working is available, with occasional on-call duties. Key technologies include Microsoft Active Directory, Azure, and networking skills. If interested, please contact Dave Flynn at .
Apr 10, 2026
Full time
A charitable organization in Reading is seeking a Senior Infrastructure Engineer to lead on the next stage of their technology journey. In this full-time position, you will deliver performant infrastructure for a vulnerable user group while developing critical documentation and engaging stakeholders. Hybrid working is available, with occasional on-call duties. Key technologies include Microsoft Active Directory, Azure, and networking skills. If interested, please contact Dave Flynn at .
AI Engineer - Agentic AI (Training & Enablement) Who we are:We deliver powerful data and AI solutions that minimize operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Incredible minds from all backgrounds are trained to become part of a diverse team of experts. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today's leading technology providers - such as Databricks, Snowflake and Collibra - delivery As an AI Engineer (Agentic AI) within our AI Engineering Training & Enablement capability, you will play a hands on role in developing, testing, and evolving agentic AI systems while contributing to the development and delivery of high quality technical training. This is a learning focused engineering role, combining practical AI engineering with the ability to contribute and deliver training labs, exercises, and technical artefacts that underpin our training offer. You will act as a technical contributor and subject matter specialist, supporting trainers, learners, and-where appropriate-commercial or client facing teams by demonstrating the real world credibility of our AI engineering practices. Key Responsibilities Agentic AI Engineering & Practical Enablement Design, build, and maintain diverse AI systems, ranging from classical machine learning pipelines to advanced agentic AI architectures (tool using agents, RAG, orchestration). Develop production ready reference implementations that demonstrate best practices in software engineering, including testing, version control, and CI/CD for AI applications. Create and maintain robust engineering environments, including containerised setups and cloud infrastructure, to support technical enablement and experimentation. Act as a subject matter expert on the full AI lifecycle, providing technical guidance on data preparation, model training, MLOps, and deployment strategies. Experiment with new agentic patterns, tools, and frameworks and translate learnings into practical training artefacts. Training Delivery & Learner Support Lead technical sessions and workshops covering the full spectrum of AI engineering, from foundational Python and statistics to deep learning and Generative AI. Mentor junior engineers and consultants, helping them debug complex issues across data pipelines, infrastructure configuration, and model development. Continuously refine technical artefacts and exercises to ensure they reflect current industry standards and realistic enterprise challenges. Engineering Standards, Evaluation & Responsible AI Embed evaluation practices into agentic AI builds, including benchmarking, regression testing, and failure mode inspection. Contribute to responsible AI patterns within training content (data boundaries, permissions, guardrails). Ensure training artefacts reflect modern engineering standards and realistic enterprise constraints. Collaboration & Capability Development Work closely with trainers, architects, and senior engineers to align training content with best practice. Contribute to internal policy and standards documentation, knowledge sharing, and centres of excellence. Support onboarding and enablement of new trainers or engineers. Lead internal demos, showcases, or events highlighting agentic AI capability. Key Requirements Experience 3-6+ years in software engineering, Data Science, or Machine Learning Engineering roles, with a track record of building and deploying production systems. Technical Skills Core Engineering: Expert proficiency in Python (writing modular, production quality code) and strong working knowledge of SQL and database design. Maths & Statistics: Strong grasp of probability theory, statistical analysis, and linear algebra, with the ability to apply these concepts to real world data problems. Classical Machine Learning: Deep practical knowledge of standard ML algorithms (regression, classification, clustering, ensemble methods) and libraries (scikit learn, pandas). Infrastructure & Containers: Hands on experience with containerisation (Docker) and orchestration (Kubernetes), including how to package and run AI applications in these environments. MLOps & Deployment: Proficiency with MLOps frameworks (specifically MLflow) for experiment tracking and model lifecycle management, as well as experience deploying models as APIs (FastAPI/Flask). Generative AI: Experience building applications with LLMs, including prompt engineering, RAG architectures, and vector databases. Rapid Prototyping: Proficiency in guiding AI coding assistants to rapidly generate and refine functional web interfaces (e.g., Streamlit, React) for agentic demos. Cloud Platforms: Proven experience developing and deploying AI solutions on Azure (specifically Azure ML and Cognitive Services) or equivalent AWS/GCP services. DevOps: Familiarity with modern DevOps practices, including Git based workflows and CI/CD pipelines (e.g., GitHub Actions, Azure DevOps). Agile Product Delivery: Familiarity with agile product delivery and requirements engineering practices. Ways of Working A genuine passion for upskilling others, with a patient and collaborative approach to code reviews and technical problem solving. Exceptional ability to explain complex engineering and mathematical concepts to audiences with varying levels of technical expertise. Collaborative approach suited to a team oriented, learning focused environment. Self directed and proactive - the ability to navigate uncertainty and ambiguity with business and technical stakeholders to co create value.
Apr 10, 2026
Full time
AI Engineer - Agentic AI (Training & Enablement) Who we are:We deliver powerful data and AI solutions that minimize operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Incredible minds from all backgrounds are trained to become part of a diverse team of experts. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today's leading technology providers - such as Databricks, Snowflake and Collibra - delivery As an AI Engineer (Agentic AI) within our AI Engineering Training & Enablement capability, you will play a hands on role in developing, testing, and evolving agentic AI systems while contributing to the development and delivery of high quality technical training. This is a learning focused engineering role, combining practical AI engineering with the ability to contribute and deliver training labs, exercises, and technical artefacts that underpin our training offer. You will act as a technical contributor and subject matter specialist, supporting trainers, learners, and-where appropriate-commercial or client facing teams by demonstrating the real world credibility of our AI engineering practices. Key Responsibilities Agentic AI Engineering & Practical Enablement Design, build, and maintain diverse AI systems, ranging from classical machine learning pipelines to advanced agentic AI architectures (tool using agents, RAG, orchestration). Develop production ready reference implementations that demonstrate best practices in software engineering, including testing, version control, and CI/CD for AI applications. Create and maintain robust engineering environments, including containerised setups and cloud infrastructure, to support technical enablement and experimentation. Act as a subject matter expert on the full AI lifecycle, providing technical guidance on data preparation, model training, MLOps, and deployment strategies. Experiment with new agentic patterns, tools, and frameworks and translate learnings into practical training artefacts. Training Delivery & Learner Support Lead technical sessions and workshops covering the full spectrum of AI engineering, from foundational Python and statistics to deep learning and Generative AI. Mentor junior engineers and consultants, helping them debug complex issues across data pipelines, infrastructure configuration, and model development. Continuously refine technical artefacts and exercises to ensure they reflect current industry standards and realistic enterprise challenges. Engineering Standards, Evaluation & Responsible AI Embed evaluation practices into agentic AI builds, including benchmarking, regression testing, and failure mode inspection. Contribute to responsible AI patterns within training content (data boundaries, permissions, guardrails). Ensure training artefacts reflect modern engineering standards and realistic enterprise constraints. Collaboration & Capability Development Work closely with trainers, architects, and senior engineers to align training content with best practice. Contribute to internal policy and standards documentation, knowledge sharing, and centres of excellence. Support onboarding and enablement of new trainers or engineers. Lead internal demos, showcases, or events highlighting agentic AI capability. Key Requirements Experience 3-6+ years in software engineering, Data Science, or Machine Learning Engineering roles, with a track record of building and deploying production systems. Technical Skills Core Engineering: Expert proficiency in Python (writing modular, production quality code) and strong working knowledge of SQL and database design. Maths & Statistics: Strong grasp of probability theory, statistical analysis, and linear algebra, with the ability to apply these concepts to real world data problems. Classical Machine Learning: Deep practical knowledge of standard ML algorithms (regression, classification, clustering, ensemble methods) and libraries (scikit learn, pandas). Infrastructure & Containers: Hands on experience with containerisation (Docker) and orchestration (Kubernetes), including how to package and run AI applications in these environments. MLOps & Deployment: Proficiency with MLOps frameworks (specifically MLflow) for experiment tracking and model lifecycle management, as well as experience deploying models as APIs (FastAPI/Flask). Generative AI: Experience building applications with LLMs, including prompt engineering, RAG architectures, and vector databases. Rapid Prototyping: Proficiency in guiding AI coding assistants to rapidly generate and refine functional web interfaces (e.g., Streamlit, React) for agentic demos. Cloud Platforms: Proven experience developing and deploying AI solutions on Azure (specifically Azure ML and Cognitive Services) or equivalent AWS/GCP services. DevOps: Familiarity with modern DevOps practices, including Git based workflows and CI/CD pipelines (e.g., GitHub Actions, Azure DevOps). Agile Product Delivery: Familiarity with agile product delivery and requirements engineering practices. Ways of Working A genuine passion for upskilling others, with a patient and collaborative approach to code reviews and technical problem solving. Exceptional ability to explain complex engineering and mathematical concepts to audiences with varying levels of technical expertise. Collaborative approach suited to a team oriented, learning focused environment. Self directed and proactive - the ability to navigate uncertainty and ambiguity with business and technical stakeholders to co create value.
Staff AI/ML Engineer Next-Gen SaaS Platform London (Hybrid) £100-145k We're hiring Staff AI/ML Engineers to help build cutting edge LLM powered systems and agentic AI workflows for a rapidly growing PE Backed business who have developed an AI Driven SaaS platform used by 1,000+ global customers. They're scaling rapidly, now with 100+ people in tech across London and the US, and recently brought on a Director of AI Engineering to drive innovation in with a brand new squad. This role in particular focuses on building production AI systems that analyse complex documents, extract structured knowledge, and automate high value workflows using modern LLM infrastructure. What you'll be doing: As their Staff AI/ML Engineer, you'll play a key role in designing and delivering advanced AI systems that power intelligent document analysis, knowledge extraction, and AI driven automation across the platform. Working closely with product and engineering teams, you'll help shape the company's AI architecture, tooling, and best practices while building scalable ML systems deployed in production. Your day to day will include: Design and deploy LLM powered systems for information extraction, document understanding, and knowledge retrieval Build agentic AI workflows to orchestrate LLMs, tools, and structured data for complex automation Develop and optimize ML pipelines and data workflows for training, evaluation, and deployment Leverage AI platforms like AWS Bedrock, SageMaker, and Vertex AI to scale capabilities Collaborate with engineers and product teams to integrate AI into the platform Mentor engineers and guide AI/ML best practices, architecture, and strategy What they're looking for in you: Strong experience in AI/ML engineering and deploying production ML systems Experience with LLMs, agentic AI frameworks, or information extraction pipelines Proficiency in Python (Java or Rust a bonus) Familiarity with cloud AI platforms (AWS, GCP, or Azure) and MLOps workflows Passion for using AI to solve real world problems What's in it for you Salary:up to £145,000 High impact role:work in a small, innovative team with a clear roadmap for career progression Flexible working:hybrid setup, typically two days per week in the Central London office Benefits:25 days annual leave, enhanced pension plan, medical insurance, and more If you're excited by the idea of building real world AI systems using LLMs, agentic workflows, and advanced information extraction techniques, this is a fantastic opportunity to join a company investing heavily in AI innovation and product development.
Apr 10, 2026
Full time
Staff AI/ML Engineer Next-Gen SaaS Platform London (Hybrid) £100-145k We're hiring Staff AI/ML Engineers to help build cutting edge LLM powered systems and agentic AI workflows for a rapidly growing PE Backed business who have developed an AI Driven SaaS platform used by 1,000+ global customers. They're scaling rapidly, now with 100+ people in tech across London and the US, and recently brought on a Director of AI Engineering to drive innovation in with a brand new squad. This role in particular focuses on building production AI systems that analyse complex documents, extract structured knowledge, and automate high value workflows using modern LLM infrastructure. What you'll be doing: As their Staff AI/ML Engineer, you'll play a key role in designing and delivering advanced AI systems that power intelligent document analysis, knowledge extraction, and AI driven automation across the platform. Working closely with product and engineering teams, you'll help shape the company's AI architecture, tooling, and best practices while building scalable ML systems deployed in production. Your day to day will include: Design and deploy LLM powered systems for information extraction, document understanding, and knowledge retrieval Build agentic AI workflows to orchestrate LLMs, tools, and structured data for complex automation Develop and optimize ML pipelines and data workflows for training, evaluation, and deployment Leverage AI platforms like AWS Bedrock, SageMaker, and Vertex AI to scale capabilities Collaborate with engineers and product teams to integrate AI into the platform Mentor engineers and guide AI/ML best practices, architecture, and strategy What they're looking for in you: Strong experience in AI/ML engineering and deploying production ML systems Experience with LLMs, agentic AI frameworks, or information extraction pipelines Proficiency in Python (Java or Rust a bonus) Familiarity with cloud AI platforms (AWS, GCP, or Azure) and MLOps workflows Passion for using AI to solve real world problems What's in it for you Salary:up to £145,000 High impact role:work in a small, innovative team with a clear roadmap for career progression Flexible working:hybrid setup, typically two days per week in the Central London office Benefits:25 days annual leave, enhanced pension plan, medical insurance, and more If you're excited by the idea of building real world AI systems using LLMs, agentic workflows, and advanced information extraction techniques, this is a fantastic opportunity to join a company investing heavily in AI innovation and product development.
Role: Senior DevOps Engineer Location: Newport (Hybrid) Salary: Up to £53k 28.9% Pension Must be eligible for SC clearance The Opportunity Yolk Recruitment are excited to be working with an innovation-driven civil service organisation as they journey through an incredible digital transformation whilst prioritising forward thinking and excellent digital practices. Alongside this, they pride themselves on being a Stonewall Diversity Champion, which means they are part of Britain's leading best-practice employers' forum for sexual orientation and gender identity equality, diversity and inclusion. We are now looking for a DevOps Engineer to work within the Platform Engineering group, during the IPO digital transformation journey. Working within an established team, this role provides an opportunity to turn innovative ideas into customer value using a range of technologies and delivery platforms. Technical Responsibilities Support the full software development lifecycle using DevOps practices. Apply best practices across infrastructure and applications (availability, security, performance, scalability). Design, implement, and manage automated CI/CD pipelines, including production deployments. Lead integration and configuration of DevOps tools across source control, build, testing, security, and monitoring. Implement monitoring, alerting, and auditing solutions. Ensure adherence to security and performance standards. Contribute to technical design, architecture, and delivery planning. Promote use of automation and infrastructure-as-code. Core Skills Strong experience with DevOps principles and CI/CD pipeline design and management. Knowledge of automated testing within pipelines. Experience in troubleshooting, incident resolution, and service support. Ability to identify and manage risks and issues. Technical Skills Scripting/development experience (e.g. Python, Bash, PowerShell). Experience with CI/CD tools (Azure DevOps preferred). Experience building/deploying applications (e.g. Python, .NET, Node). Knowledge of Infrastructure as Code (e.g. Terraform). Experience with containerisation (e.g. Docker, cloud container services). Familiarity with source control systems (e.g. Git). Experience with cloud platforms (Azure preferred). Think this one's for you If you think this Senior DevOps Engineer opportunity is for you then please apply online. Yolk Public Sector & Not-for-Profit team works with organisations across the UK to fulfil their recruitment needs and to achieve their D&I objectives. We recruit temporary, contract and permanent hires for 1 off specialist needs or for volume campaigns. We support our applicants to navigate the public sector recruitment processes and secure their dream jobs. Yolk Recruitment is an equal opportunities employer and embraces diversity in our workforce. We employ the best people for the job at hand and actively encourage applications from all qualified candidates, regardless of gender, age, race, religion, sexual orientation, disability, educational background, parental status, gender identity or any other protected characteristic. We champion and celebrate diversity at Yolk allowing our team to bring their whole selves to work.
Apr 10, 2026
Full time
Role: Senior DevOps Engineer Location: Newport (Hybrid) Salary: Up to £53k 28.9% Pension Must be eligible for SC clearance The Opportunity Yolk Recruitment are excited to be working with an innovation-driven civil service organisation as they journey through an incredible digital transformation whilst prioritising forward thinking and excellent digital practices. Alongside this, they pride themselves on being a Stonewall Diversity Champion, which means they are part of Britain's leading best-practice employers' forum for sexual orientation and gender identity equality, diversity and inclusion. We are now looking for a DevOps Engineer to work within the Platform Engineering group, during the IPO digital transformation journey. Working within an established team, this role provides an opportunity to turn innovative ideas into customer value using a range of technologies and delivery platforms. Technical Responsibilities Support the full software development lifecycle using DevOps practices. Apply best practices across infrastructure and applications (availability, security, performance, scalability). Design, implement, and manage automated CI/CD pipelines, including production deployments. Lead integration and configuration of DevOps tools across source control, build, testing, security, and monitoring. Implement monitoring, alerting, and auditing solutions. Ensure adherence to security and performance standards. Contribute to technical design, architecture, and delivery planning. Promote use of automation and infrastructure-as-code. Core Skills Strong experience with DevOps principles and CI/CD pipeline design and management. Knowledge of automated testing within pipelines. Experience in troubleshooting, incident resolution, and service support. Ability to identify and manage risks and issues. Technical Skills Scripting/development experience (e.g. Python, Bash, PowerShell). Experience with CI/CD tools (Azure DevOps preferred). Experience building/deploying applications (e.g. Python, .NET, Node). Knowledge of Infrastructure as Code (e.g. Terraform). Experience with containerisation (e.g. Docker, cloud container services). Familiarity with source control systems (e.g. Git). Experience with cloud platforms (Azure preferred). Think this one's for you If you think this Senior DevOps Engineer opportunity is for you then please apply online. Yolk Public Sector & Not-for-Profit team works with organisations across the UK to fulfil their recruitment needs and to achieve their D&I objectives. We recruit temporary, contract and permanent hires for 1 off specialist needs or for volume campaigns. We support our applicants to navigate the public sector recruitment processes and secure their dream jobs. Yolk Recruitment is an equal opportunities employer and embraces diversity in our workforce. We employ the best people for the job at hand and actively encourage applications from all qualified candidates, regardless of gender, age, race, religion, sexual orientation, disability, educational background, parental status, gender identity or any other protected characteristic. We champion and celebrate diversity at Yolk allowing our team to bring their whole selves to work.
