What if you could do the kind of work the world needs? At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you. We areseekinga highly skilled and hands on Cloud Network Architect to join WSP's Global IT organization supporting its internal employees. Reporting to the manager of Network Architecture & Design, you will be responsible for the design, evolution, governance, and implementation of enterprise cloud networking solutions, with a primary focus on Microsoft Azure. We are looking for a practitioner who combines strategic thinking with real world engineering experience. You will design and build scalable, secure, and resilient cloud connectivity services that support WSP's global operations and Zero Trust ambitions. You will also partner closely with platform engineering to embed DevOps and automation practices into cloud network delivery and operations. A little more about your role Design end to end Azure networking architectures, including segmentation, routing, DNS, private access, and network security. Architect and maintain global cloud connectivity patterns. Define cloud networking standards, reference architectures, guardrails, and reusable design patterns. Collaborate with Security Architecture to design identity driven, Zero Trust aligned network controls. Serve as architecture authority for cloud networking across major programs and initiatives. Build, configure, and optimize cloud networking components. Deploy, tune, and secure cloud firewalls, proxies, and enforcement points. Troubleshoot complex cloud and hybrid network issues across L3-L7. Validate resiliency, DR, and continuity plans through hands on testing. Develop and maintain Infrastructure as Code for cloud network provisioning using modular, reusable patterns. Integrate cloud network builds into CI/CD workflows including automated testing and promotion between environments. Implement automated baseline checks, compliance controls, configuration consistency, and drift detection using policy as code and guardrails. Build automation for operational tasks and standard remediation to reduce manual toil. Implement and maintain telemetry/observability pipelines to enable proactive detection and performance optimization. Champion reusable modules, automation patterns, GitOps practices, and engineering best practices across teams. Optimize network performance, routing, and traffic flows across cloud and hybrid landscapes. Provide expert guidance to Network Engineers, Cloud Engineers, project managers, and business stakeholders. Evaluate emerging cloud networking technologies and influence strategic roadmaps. Mentor engineering teams developing cloud first skills and modern automation capabilities. What we will be looking for you to demonstrate The ideal candidate would meet all, or most of the below criteria: Bachelor's degree in computer science, Information Technology, Engineering, or equivalent experience. Significant practical, hands on network engineering and architecture experience. Deep expertise in Microsoft Azure networking. Strong understanding of hybrid connectivity patterns and datacenter interconnect architectures. Experience integrating cloud networks with SSE/SASE platforms (Zscaler ZIA/ZPA preferred). Strong understanding of segmentation models, identity based access, and cloud native security policies. Strong proficiency with Terraform, Ansible, GitHub, and CI/CD workflows. Experience with GitOps practices, modular IaC design, and automated governance controls. Scripting and automation skills and experience with API driven workflows. Knowledge of other clouds (AWS, GCP, OCI) is beneficial. Experience with container networking is an advantage. Strong architectural documentation and diagramming capability. Ability to communicate complex designs to both technical and non technical audiences. Comfortable collaborating within a large, globally distributed enterprise. Imagine a better future for you and a better future for us all. Join our close knit community of talented individuals who share your passion for making a positive impact. Our global team includes more than 69,000 employees, working together to make a difference in communities both close to home and around the world. With us, you can. Apply today.
Apr 11, 2026
Full time
What if you could do the kind of work the world needs? At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you. We areseekinga highly skilled and hands on Cloud Network Architect to join WSP's Global IT organization supporting its internal employees. Reporting to the manager of Network Architecture & Design, you will be responsible for the design, evolution, governance, and implementation of enterprise cloud networking solutions, with a primary focus on Microsoft Azure. We are looking for a practitioner who combines strategic thinking with real world engineering experience. You will design and build scalable, secure, and resilient cloud connectivity services that support WSP's global operations and Zero Trust ambitions. You will also partner closely with platform engineering to embed DevOps and automation practices into cloud network delivery and operations. A little more about your role Design end to end Azure networking architectures, including segmentation, routing, DNS, private access, and network security. Architect and maintain global cloud connectivity patterns. Define cloud networking standards, reference architectures, guardrails, and reusable design patterns. Collaborate with Security Architecture to design identity driven, Zero Trust aligned network controls. Serve as architecture authority for cloud networking across major programs and initiatives. Build, configure, and optimize cloud networking components. Deploy, tune, and secure cloud firewalls, proxies, and enforcement points. Troubleshoot complex cloud and hybrid network issues across L3-L7. Validate resiliency, DR, and continuity plans through hands on testing. Develop and maintain Infrastructure as Code for cloud network provisioning using modular, reusable patterns. Integrate cloud network builds into CI/CD workflows including automated testing and promotion between environments. Implement automated baseline checks, compliance controls, configuration consistency, and drift detection using policy as code and guardrails. Build automation for operational tasks and standard remediation to reduce manual toil. Implement and maintain telemetry/observability pipelines to enable proactive detection and performance optimization. Champion reusable modules, automation patterns, GitOps practices, and engineering best practices across teams. Optimize network performance, routing, and traffic flows across cloud and hybrid landscapes. Provide expert guidance to Network Engineers, Cloud Engineers, project managers, and business stakeholders. Evaluate emerging cloud networking technologies and influence strategic roadmaps. Mentor engineering teams developing cloud first skills and modern automation capabilities. What we will be looking for you to demonstrate The ideal candidate would meet all, or most of the below criteria: Bachelor's degree in computer science, Information Technology, Engineering, or equivalent experience. Significant practical, hands on network engineering and architecture experience. Deep expertise in Microsoft Azure networking. Strong understanding of hybrid connectivity patterns and datacenter interconnect architectures. Experience integrating cloud networks with SSE/SASE platforms (Zscaler ZIA/ZPA preferred). Strong understanding of segmentation models, identity based access, and cloud native security policies. Strong proficiency with Terraform, Ansible, GitHub, and CI/CD workflows. Experience with GitOps practices, modular IaC design, and automated governance controls. Scripting and automation skills and experience with API driven workflows. Knowledge of other clouds (AWS, GCP, OCI) is beneficial. Experience with container networking is an advantage. Strong architectural documentation and diagramming capability. Ability to communicate complex designs to both technical and non technical audiences. Comfortable collaborating within a large, globally distributed enterprise. Imagine a better future for you and a better future for us all. Join our close knit community of talented individuals who share your passion for making a positive impact. Our global team includes more than 69,000 employees, working together to make a difference in communities both close to home and around the world. With us, you can. Apply today.
Our client is seeking a Mobile Voice Core Engineer to ensure the reliable operation, maintenance, and evolution of their Mobile Core network, which includes CS, EPC, IMS, and associated platforms. This full-time position involves 37.5 hours of work each week, with the opportunities available in Guernsey, Jersey, or the Isle of Man. The role reports to the Senior Mobile Engineer and collaborates with Mobile, Fixed, Transmission, and IP teams, as well as the Security Architect and Product teams. In this role, you will deliver high availability and performance for Packet Switched (PS) and Circuit Switched (CS) services, supporting technologies such as VoLTE and 5G Core. As a subject matter expert for IMS-based services, you will provide technical support for integration, troubleshooting, and optimisation. The successful candidate will also play a key role in ensuring that the network meets performance metrics and provides exceptional service quality. Job Duties: Operate and maintain IMS, CS, and EPC components, ensuring compliance with KPIs and SLAs. Monitor, perform configuration, upgrades, and patches for Mobile core network elements (MME, SGW, PGW, PCRF, HSS, HLR, SBC, CS Core, and IMS nodes) while collaborating with other engineers. Monitor and analyse performance metrics to optimise capacity and quality of service. Troubleshoot complex issues across signalling protocols (Diameter, SIP, SS7, HTTPs) and resolve faults promptly. Manage IMS platforms and SIP-based services for mobile and fixed voice. Support Cloud Voice and FTTH voice solutions, ensuring seamless integration with IMS. Implement and maintain Microsoft Teams Operator Connect and related interworking functions. Ensure QoS and security compliance for all IMS-based services. Support roaming services and ensure compliance with IREG. Maintain mobile support services such as SMS antifraud, voicemail, and SIM steering. Support the deployment of new SIP carrier interconnects and ongoing support, as well as routing and troubleshooting existing interconnects. Monitor, manage, and support upgrades of the Mobile Core Physical, Virtualised, and Containerised infrastructure. Participate in network expansion, capacity planning, and software upgrades. Work with the Security Architect to review assets, identify weaknesses, and maintain appropriate security levels. Investigate security alerts and provide incident response within your domain. Comply with relevant licence and regulatory rules, as well as Data Protection Law and Health and Safety responsibilities. Job Requirements: Strong understanding of 2G, 4G, and 5G mobile networking and associated core technologies. Proficiency with protocols utilised in a mobile network, including SIP, Diameter, and SS7. Experience with mobile core nodes (MME, SGW, PGW, PCRF, HSS) and IMS components (SBC, S-CSCF, I-CSCF, BGCF, etc.). Knowledge of IP networks, routers, switches, and dynamic routing protocols, along with an appreciation for system security. Skills to configure and administer a telecoms virtualised and containerised environment. Excellent communication skills, both written and verbal. A flexible approach to work and willingness to participate in a callout rota. An eagerness to learn new technologies through both formal and self-learning, with the ability to adapt to an ever-changing technical environment. What You'll Love: Our client fosters a culture that prioritises teamwork, customer satisfaction, reliability, and a passion for technology and learning. They are committed to community and sustainability, making it a great environment for professionals seeking to make a difference. You will have the opportunity to work in a dynamic setting where your contributions are valued, and your professional development is supported. If you are someone who thrives on new challenges and is eager to enhance your skill set while delivering impactful solutions, this role could be your next great move. Interested? Register today, confidentially, with one of our friendly and dedicated recruitment specialists by clicking here
Apr 11, 2026
Full time
Our client is seeking a Mobile Voice Core Engineer to ensure the reliable operation, maintenance, and evolution of their Mobile Core network, which includes CS, EPC, IMS, and associated platforms. This full-time position involves 37.5 hours of work each week, with the opportunities available in Guernsey, Jersey, or the Isle of Man. The role reports to the Senior Mobile Engineer and collaborates with Mobile, Fixed, Transmission, and IP teams, as well as the Security Architect and Product teams. In this role, you will deliver high availability and performance for Packet Switched (PS) and Circuit Switched (CS) services, supporting technologies such as VoLTE and 5G Core. As a subject matter expert for IMS-based services, you will provide technical support for integration, troubleshooting, and optimisation. The successful candidate will also play a key role in ensuring that the network meets performance metrics and provides exceptional service quality. Job Duties: Operate and maintain IMS, CS, and EPC components, ensuring compliance with KPIs and SLAs. Monitor, perform configuration, upgrades, and patches for Mobile core network elements (MME, SGW, PGW, PCRF, HSS, HLR, SBC, CS Core, and IMS nodes) while collaborating with other engineers. Monitor and analyse performance metrics to optimise capacity and quality of service. Troubleshoot complex issues across signalling protocols (Diameter, SIP, SS7, HTTPs) and resolve faults promptly. Manage IMS platforms and SIP-based services for mobile and fixed voice. Support Cloud Voice and FTTH voice solutions, ensuring seamless integration with IMS. Implement and maintain Microsoft Teams Operator Connect and related interworking functions. Ensure QoS and security compliance for all IMS-based services. Support roaming services and ensure compliance with IREG. Maintain mobile support services such as SMS antifraud, voicemail, and SIM steering. Support the deployment of new SIP carrier interconnects and ongoing support, as well as routing and troubleshooting existing interconnects. Monitor, manage, and support upgrades of the Mobile Core Physical, Virtualised, and Containerised infrastructure. Participate in network expansion, capacity planning, and software upgrades. Work with the Security Architect to review assets, identify weaknesses, and maintain appropriate security levels. Investigate security alerts and provide incident response within your domain. Comply with relevant licence and regulatory rules, as well as Data Protection Law and Health and Safety responsibilities. Job Requirements: Strong understanding of 2G, 4G, and 5G mobile networking and associated core technologies. Proficiency with protocols utilised in a mobile network, including SIP, Diameter, and SS7. Experience with mobile core nodes (MME, SGW, PGW, PCRF, HSS) and IMS components (SBC, S-CSCF, I-CSCF, BGCF, etc.). Knowledge of IP networks, routers, switches, and dynamic routing protocols, along with an appreciation for system security. Skills to configure and administer a telecoms virtualised and containerised environment. Excellent communication skills, both written and verbal. A flexible approach to work and willingness to participate in a callout rota. An eagerness to learn new technologies through both formal and self-learning, with the ability to adapt to an ever-changing technical environment. What You'll Love: Our client fosters a culture that prioritises teamwork, customer satisfaction, reliability, and a passion for technology and learning. They are committed to community and sustainability, making it a great environment for professionals seeking to make a difference. You will have the opportunity to work in a dynamic setting where your contributions are valued, and your professional development is supported. If you are someone who thrives on new challenges and is eager to enhance your skill set while delivering impactful solutions, this role could be your next great move. Interested? Register today, confidentially, with one of our friendly and dedicated recruitment specialists by clicking here
Job Title: Cyber Security Operations Manager Location: Liverpool City Centre on a Hybrid working basis Salary: Up to £75,000 per annum Depending on experience Job Type: Permanent, Full Time Working Hours: 37.5 hours per week, Monday to Friday Acorn are looking to recruit a brand-new role as a Cyber Security Operations Manager. The Cyber Security Operations Manager will lead the operational security function responsible for protecting the organisation's information assets, technology services, and users. This role oversees all security operation functions, incident response, threat detection, vulnerability management, and continuous improvement of the organisation's security posture. Working closely with Infrastructure, Cloud, Architecture, Governance, Compliance and Risk teams, the manager ensures that security operations are proactive, resilient, and aligned with business needs. Responsibilities Lead and manage the daily operations of the internal Security Operations team and primary relationship with any outsourced SOC solution ensuring 24/7 monitoring and response coverage. Oversee cyber defence capabilities including SIEM, SOAR, EDR/XDR, threat intelligence, and identity protection. Develop and maintain operational procedures, playbooks, and response frameworks. Direct the full incident response lifecycle: detection, triage, containment, eradication, recovery, and post-incident review. Coordinate major incident management with IT Infrastructure, Cloud, and Business teams. Ensure lessons learned are captured and drive meaningful improvement. Oversee the vulnerability management programme, ensuring timely identification, prioritisation, and remediation of risks. Partner with asset owners to ensure patches, configuration hardening, and remediation actions are completed. Support risk assessment processes and provide input to security governance and compliance teams. Ensure the design, tuning, and optimisation of detection rules, alerts, and correlation logic across security platforms. Drive automation initiatives using SOAR to improve response speed and reduce operational workload. Maintain robust coverage across cloud, on premise, network, and endpoint environments. Build capability through training, certifications, and knowledge-sharing programmes. Work with technology, business, and leadership teams to communicate risks, incidents, and security posture. Support audits, regulatory assessments, and customer assurance activities About you Requirements Experience managing a SOC or security operations function within a complex enterprise environment. Strong understanding of SIEM, SOAR, EDR, IDS/IPS, firewalls, and cloud-native security tooling. Knowledge of cyber security frameworks such as NIST CSF, MITRE ATT&CK, ISO 27001, or CIS Controls. Demonstrated expertise in incident response and threat management. Experience working in hybrid cloud environments (Azure, AWS, or GCP). Grow with Acorn We bring over 40 years of specialist insurance expertise to the table. From humble beginnings, we've grown into a national leader, now employing 1,700+ people across the UK. We're growing fast, with new opportunities emerging every week. That growth is largely due to the values we share: We run through walls for our customers and each other We challenge the status quo We succeed when we help those around us succeed We decide quickly when the smart thing to do is use our judgement Benefits 35 days' holiday (including bank holidays) with additional buy/sell options 24/7 mental health support & free counselling available Grow with us: Through career fairs, leadership programs, and learning on the go! Flexible benefits, including early access to salary via our internal platform Hybrid working options to support work-life balance and individual needs Recognition awards, social events & more Our Commitment to our colleague's Mindful Employer Disability Confident Level 1 & 2 Menopause Friendly accredited Armed Forces Covenant signatory Great Places to Work 2024/25 Best Place to Work for Development Best Place to Work for Women Before applying, please know If your application is successful, we will run relevant employment checks prior to your employment with us. These will include a standard criminal record check and an insolvency register check. Visa Requirements We can only consider applicants who have at least one year remaining on their Graduate or Post-Study Work visa. At the moment, we're not able to offer visa sponsorship. We're Here to Support You We're committed to creating an inclusive, supportive workplace where everyone can flourish. If you need any adjustments during the recruitment process or once you're part of the team-we'll work with you to make sure you can do your best work. Please click the APPLY button to submit your CV for this role. Candidates with experience or relevant job titles of; Cyber Security Consultant, Head of Cyber Security, Cyber Security Operations Supervisor, IT Cloud Operations Manager may also be considered for this role.
Apr 11, 2026
Full time
Job Title: Cyber Security Operations Manager Location: Liverpool City Centre on a Hybrid working basis Salary: Up to £75,000 per annum Depending on experience Job Type: Permanent, Full Time Working Hours: 37.5 hours per week, Monday to Friday Acorn are looking to recruit a brand-new role as a Cyber Security Operations Manager. The Cyber Security Operations Manager will lead the operational security function responsible for protecting the organisation's information assets, technology services, and users. This role oversees all security operation functions, incident response, threat detection, vulnerability management, and continuous improvement of the organisation's security posture. Working closely with Infrastructure, Cloud, Architecture, Governance, Compliance and Risk teams, the manager ensures that security operations are proactive, resilient, and aligned with business needs. Responsibilities Lead and manage the daily operations of the internal Security Operations team and primary relationship with any outsourced SOC solution ensuring 24/7 monitoring and response coverage. Oversee cyber defence capabilities including SIEM, SOAR, EDR/XDR, threat intelligence, and identity protection. Develop and maintain operational procedures, playbooks, and response frameworks. Direct the full incident response lifecycle: detection, triage, containment, eradication, recovery, and post-incident review. Coordinate major incident management with IT Infrastructure, Cloud, and Business teams. Ensure lessons learned are captured and drive meaningful improvement. Oversee the vulnerability management programme, ensuring timely identification, prioritisation, and remediation of risks. Partner with asset owners to ensure patches, configuration hardening, and remediation actions are completed. Support risk assessment processes and provide input to security governance and compliance teams. Ensure the design, tuning, and optimisation of detection rules, alerts, and correlation logic across security platforms. Drive automation initiatives using SOAR to improve response speed and reduce operational workload. Maintain robust coverage across cloud, on premise, network, and endpoint environments. Build capability through training, certifications, and knowledge-sharing programmes. Work with technology, business, and leadership teams to communicate risks, incidents, and security posture. Support audits, regulatory assessments, and customer assurance activities About you Requirements Experience managing a SOC or security operations function within a complex enterprise environment. Strong understanding of SIEM, SOAR, EDR, IDS/IPS, firewalls, and cloud-native security tooling. Knowledge of cyber security frameworks such as NIST CSF, MITRE ATT&CK, ISO 27001, or CIS Controls. Demonstrated expertise in incident response and threat management. Experience working in hybrid cloud environments (Azure, AWS, or GCP). Grow with Acorn We bring over 40 years of specialist insurance expertise to the table. From humble beginnings, we've grown into a national leader, now employing 1,700+ people across the UK. We're growing fast, with new opportunities emerging every week. That growth is largely due to the values we share: We run through walls for our customers and each other We challenge the status quo We succeed when we help those around us succeed We decide quickly when the smart thing to do is use our judgement Benefits 35 days' holiday (including bank holidays) with additional buy/sell options 24/7 mental health support & free counselling available Grow with us: Through career fairs, leadership programs, and learning on the go! Flexible benefits, including early access to salary via our internal platform Hybrid working options to support work-life balance and individual needs Recognition awards, social events & more Our Commitment to our colleague's Mindful Employer Disability Confident Level 1 & 2 Menopause Friendly accredited Armed Forces Covenant signatory Great Places to Work 2024/25 Best Place to Work for Development Best Place to Work for Women Before applying, please know If your application is successful, we will run relevant employment checks prior to your employment with us. These will include a standard criminal record check and an insolvency register check. Visa Requirements We can only consider applicants who have at least one year remaining on their Graduate or Post-Study Work visa. At the moment, we're not able to offer visa sponsorship. We're Here to Support You We're committed to creating an inclusive, supportive workplace where everyone can flourish. If you need any adjustments during the recruitment process or once you're part of the team-we'll work with you to make sure you can do your best work. Please click the APPLY button to submit your CV for this role. Candidates with experience or relevant job titles of; Cyber Security Consultant, Head of Cyber Security, Cyber Security Operations Supervisor, IT Cloud Operations Manager may also be considered for this role.
The TP ICAP Group is a world leading provider of market infrastructure.Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions.Through our people and technology, we connect clients to superior liquidity and data solutions.The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world's leading provider of OTC data, and an award winning all-to-all trading platform.Founded in London in 1866, the Group operates from more than 60 offices in 27 countries. We are 5,200 people strong. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist. Role Overview The AI-Augmented Engineering Lead is responsible for integrating AI-driven solutions into engineering practices to improve developer productivity, software quality, and delivery velocity. The role plays a central part in advancing and scaling the organisation's AWS-based DevSecOps platform, embedding AI-augmented capabilities across tooling, pipelines, and operational practices.This role operates at the intersection of engineering leadership, platform engineering, and applied AI, enabling teams to deliver secure, reliable software at scale.This is a fantastic opportunity to make a significant impact within a forward-thinking organisation, contributing to the evolution of our cloud and platform engineering capabilities. If you have a passion for cloud technology, AI and automation, we would love to hear from you! Role Responsibilities AI-Enabled Engineering Practices Identify, evaluate, and implement AI-driven tools across the software development lifecycle, including coding assistance, automated testing, code quality, incident analysis, and operational insights. Define guardrails and standards for the secure and responsible use of AI in engineering, aligned with organisational security and compliance requirements. Assess and communicate the impact of AI adoption using clear metrics (e.g. lead time, defect rates, pipeline efficiency, developer experience).AWS-Centric DevSecOps Platform Leadership Lead the evolution of a central DevSecOps platform, integrating AI-augmented capabilities into core services. Design and optimise CI/CD pipelines with embedded security, quality, and policy controls. Manage and evolve artifact and dependency management using Nexus Repository, ensuring secure, reliable, and scalable software supply chains. Enhance observability and operational insight leveraging AI-assisted monitoring, alerting, and root cause analysis.Automation & Continuous Improvement Design, implement, and optimize AWS-based infrastructure solutions that align with business requirements and industry best practices. Stay current with AWS services, AI tooling, and DevSecOps trends, translating emerging capabilities into practical solutions. Collaborate with cross-functional teams to integrate generative AI solutions into existing systems. Research and stay up-to-date on the latest advancements in cloud distributed systems and generative AI technologies and methodologies Project Leadership: Take ownership of cloud and platform engineering projects, ensuring they are delivered efficiently, securely, and in accordance with organizational standards. Collaboration & Mentorship: Work closely with cross-functional teams, sharing knowledge and best practices to foster continuous improvement. Experience / Competences Essential Expertise in AI technologies including Generative AI and Machine Learning. Hands-on experience working with Large Language Models (LLMs). Track record in the architecture and design of AI driven solutions in software engineering Extensive AWS expertise, including experience with cloud automation, security best practices, and architectural design. Expertise in AWS AI services such as Bedrock and the Serverless eco system Strong experience with Python, React.js, and JavaScript Hands-on experience with CDK and Terraform for infrastructure automation Experience with DevOps methodologies, SCM, CI/CD pipelines, and containerization technologies (e.g., Docker, Kubernetes). Familiarity with monitoring and logging solutions such as Grafana, CloudWatch, Prometheus, or ELK Stack. Familiarity in security and compliance within cloud environments. Excellent problem-solving skills and the ability to troubleshoot complex cloud-based environments. Strong leadership capabilities, with experience leading technical projects and mentoring team members. Ability to effectively communicate technical concepts to both technical and non-technical stakeholders.Desired AWS certifications such as AWS Certified Solutions Architect - Professional, AWS Certified DevOps Engineer - Professional, AWS Certified AI Practitioner, or AWS Certified Developer - Associate. Job Band & Level Manager / 7 Company Statement We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement. Location UK - 135 Bishopsgate - London Connecting clients, communities and colleagues for sustainable growth TP ICAP connects people, platforms, ideas, and insight across the world's financial, energy and commodities markets. As a global leader in market infrastructure and data-led solutions, we enhance market access, increase efficiencies, and unlock possibilities. Work with us Joining TP ICAP puts you at the heart of markets that matter.You'll have the freedom to innovate and act on your initiative. We'll train you and build your abilities in your specialist area, so that you can become an expert in your field. And all within a connected network that's there to set you up for success.TP ICAP Group is a collection of premium brands each with a distinct, client-focused offering. Underpinning and connecting these client-facing brands is the financial security, operational strength and know-how we have as a Group.Connections are at the heart of what we do. We combine our people's know-how with the latest technology to improve price discovery, trade execution and liquidity flow.Connections create strength. Through them, we help our clients to manage risk, realise investment strategies and expand the scope for growth.And connections act as a catalyst. Sparking richer solutions for our clients to break new ground, modernising markets for future performance, and creating dynamic careers for our people. Our capacity to connect builds trust, supports communities and gives us the power to anticipate and respond to change, whatever direction the world takes. It's what makes TP ICAP a mainstay in the global markets, now and in the future.TP ICAP. We connect.
Apr 11, 2026
Full time
The TP ICAP Group is a world leading provider of market infrastructure.Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions.Through our people and technology, we connect clients to superior liquidity and data solutions.The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world's leading provider of OTC data, and an award winning all-to-all trading platform.Founded in London in 1866, the Group operates from more than 60 offices in 27 countries. We are 5,200 people strong. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist. Role Overview The AI-Augmented Engineering Lead is responsible for integrating AI-driven solutions into engineering practices to improve developer productivity, software quality, and delivery velocity. The role plays a central part in advancing and scaling the organisation's AWS-based DevSecOps platform, embedding AI-augmented capabilities across tooling, pipelines, and operational practices.This role operates at the intersection of engineering leadership, platform engineering, and applied AI, enabling teams to deliver secure, reliable software at scale.This is a fantastic opportunity to make a significant impact within a forward-thinking organisation, contributing to the evolution of our cloud and platform engineering capabilities. If you have a passion for cloud technology, AI and automation, we would love to hear from you! Role Responsibilities AI-Enabled Engineering Practices Identify, evaluate, and implement AI-driven tools across the software development lifecycle, including coding assistance, automated testing, code quality, incident analysis, and operational insights. Define guardrails and standards for the secure and responsible use of AI in engineering, aligned with organisational security and compliance requirements. Assess and communicate the impact of AI adoption using clear metrics (e.g. lead time, defect rates, pipeline efficiency, developer experience).AWS-Centric DevSecOps Platform Leadership Lead the evolution of a central DevSecOps platform, integrating AI-augmented capabilities into core services. Design and optimise CI/CD pipelines with embedded security, quality, and policy controls. Manage and evolve artifact and dependency management using Nexus Repository, ensuring secure, reliable, and scalable software supply chains. Enhance observability and operational insight leveraging AI-assisted monitoring, alerting, and root cause analysis.Automation & Continuous Improvement Design, implement, and optimize AWS-based infrastructure solutions that align with business requirements and industry best practices. Stay current with AWS services, AI tooling, and DevSecOps trends, translating emerging capabilities into practical solutions. Collaborate with cross-functional teams to integrate generative AI solutions into existing systems. Research and stay up-to-date on the latest advancements in cloud distributed systems and generative AI technologies and methodologies Project Leadership: Take ownership of cloud and platform engineering projects, ensuring they are delivered efficiently, securely, and in accordance with organizational standards. Collaboration & Mentorship: Work closely with cross-functional teams, sharing knowledge and best practices to foster continuous improvement. Experience / Competences Essential Expertise in AI technologies including Generative AI and Machine Learning. Hands-on experience working with Large Language Models (LLMs). Track record in the architecture and design of AI driven solutions in software engineering Extensive AWS expertise, including experience with cloud automation, security best practices, and architectural design. Expertise in AWS AI services such as Bedrock and the Serverless eco system Strong experience with Python, React.js, and JavaScript Hands-on experience with CDK and Terraform for infrastructure automation Experience with DevOps methodologies, SCM, CI/CD pipelines, and containerization technologies (e.g., Docker, Kubernetes). Familiarity with monitoring and logging solutions such as Grafana, CloudWatch, Prometheus, or ELK Stack. Familiarity in security and compliance within cloud environments. Excellent problem-solving skills and the ability to troubleshoot complex cloud-based environments. Strong leadership capabilities, with experience leading technical projects and mentoring team members. Ability to effectively communicate technical concepts to both technical and non-technical stakeholders.Desired AWS certifications such as AWS Certified Solutions Architect - Professional, AWS Certified DevOps Engineer - Professional, AWS Certified AI Practitioner, or AWS Certified Developer - Associate. Job Band & Level Manager / 7 Company Statement We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement. Location UK - 135 Bishopsgate - London Connecting clients, communities and colleagues for sustainable growth TP ICAP connects people, platforms, ideas, and insight across the world's financial, energy and commodities markets. As a global leader in market infrastructure and data-led solutions, we enhance market access, increase efficiencies, and unlock possibilities. Work with us Joining TP ICAP puts you at the heart of markets that matter.You'll have the freedom to innovate and act on your initiative. We'll train you and build your abilities in your specialist area, so that you can become an expert in your field. And all within a connected network that's there to set you up for success.TP ICAP Group is a collection of premium brands each with a distinct, client-focused offering. Underpinning and connecting these client-facing brands is the financial security, operational strength and know-how we have as a Group.Connections are at the heart of what we do. We combine our people's know-how with the latest technology to improve price discovery, trade execution and liquidity flow.Connections create strength. Through them, we help our clients to manage risk, realise investment strategies and expand the scope for growth.And connections act as a catalyst. Sparking richer solutions for our clients to break new ground, modernising markets for future performance, and creating dynamic careers for our people. Our capacity to connect builds trust, supports communities and gives us the power to anticipate and respond to change, whatever direction the world takes. It's what makes TP ICAP a mainstay in the global markets, now and in the future.TP ICAP. We connect.
A career at Lombard Odier means working for a renowned global wealth and asset manager, with a strong focus on sustainable investing. An innovative bank of choice for private and institutional clients, our independently owned Firm is one of the best-capitalised banking groups in the world, managing close to CHF 300 billion and operating from over 25 offices across 4 continents. With a history spanning over 225 years, Lombard Odier is an investment house providing a comprehensive offering of discretionary and advisory portfolio management, wealth services and custody. We also offer asset management services and investment strategies through Lombard Odier Investment Managers and provide advanced banking technology to other financial institutions. "Rethink Everything" is our philosophy - it is at the heart of everything we do. We have grown stronger through more than 40 financial crises by rethinking the world around us to provide a fresh investment perspective for our clients. Lombard Odier Investment Managers ("LOIM") is the asset management business of the Lombard Odier Group. In order to strengthen our IT & Operations team, we are looking for a: Chief Technology Officer (CTO) The Chief Technology Officer (CTO) at LOIM is a key executive leader responsible for defining and executing the firm's global technology strategy, delivering a resilient and scalable technology ecosystem, and enabling innovation across all functions. This role oversees all aspects of IT, data, cybersecurity, digital transformation, AI, and technology operations to ensure LOIM remains competitive, efficient, compliant, and client centric. The CTO will drive a multi year transformation agenda, lead diverse technology teams across locations, manage critical vendor relationships, and deliver major strategic programs that are foundational to LOIM's future operating model. YOUR ROLE Technology Strategy & Governance Define and maintain LOIM's global IT strategy and multi year technology roadmap.Lead the development and execution of key technology pillars (architecture, data, AI, cloud, digital workplace, cybersecurity).Ensure alignment with business strategy, investment priorities, and industry best practices.Provide thought leadership and innovation guidance to the Executive Committee, Boards & Committees, and senior leadership. Technology Leadership & Talent Management Lead, develop, and inspire a multi location technology organization.Build a strong team, upskill the organization to an AI-augmented workforce, and foster a culture of accountability, collaboration, and continuous improvement.Attract and retain high calibre technology professionals. Change, Transformation & Project Delivery Oversee the delivery of major transformation programs, ensuring milestones, scope, and budgets are met.Strengthen project governance, change management, and stakeholder alignment across all business units.Drive implementation of new platforms, tools, and data capabilities to modernize LOIM's technology landscape. Budget, Vendor & Supplier Management Own the global technology budget, ensuring cost discipline and return on investment including establishment & maintenance of impactful relationships with senior management at suppliers.Optimise commercial performance of critical technology partners, including SaaS vendors, market data providers, and infrastructure providers.Negotiate contracts and oversee risk, service levels, and performance. Operational Excellence, Cybersecurity & Resilience Ensure the stability, security, and scalability of all systems and infrastructure.Strengthen cyber defence, vulnerability management, regulatory compliance, and operational risk frameworks.Oversee disaster recovery, business continuity planning, and incident response.Work across functions to minimize IT & Operational errors. Boards, Committees, Reporting & Risk Management Represent Technology at relevant boards, committees (operational risk, digital, IT steering, data governance, investment platform).Produce KPIs, dashboards, and regulatory reports, ensuring accuracy and timely delivery.Proactively manage technology related business risks across the organisation. Client Due Diligence & External Engagement Lead the technology response for client due diligence requests, RFPs, and operational reviews.Present LOIM's technology strategy and controls to investors and partners.Foster strong relationships with external stakeholders, including regulators and auditors. Business Partnership Act as a strategic advisor to Investment, Sales, Risk, Operations, Compliance and Executive leadership teams.Translate business needs into scalable technology solutions.Champion data driven decision making and adoption of digital tools across LOIM.Strong, demonstrable network across industry peers, consortiums / forms and key service providers. YOUR PROFILE 15+ years in senior technology leadership roles, ideally within asset management, wealth management, or capital markets.Proven track record of delivering large scale transformation across investment platforms, data, and enterprise architecture.Deep experience with key investment management platforms (e.g., Enfusion, PORT, FactSet, Aladdin, Bloomberg, market data systems).Strong background in cybersecurity, vendor management, cloud transformation, AI adoption, and regulatory environments.Strategic thinker with ability to translate business objectives into actionable roadmaps.Strong executive presence, capable of influencing C suite and board level stakeholders.Exceptional team leadership, communication, and change management skills.High integrity, resilience, and ability to operate in a complex, fast changing environment. Our Maison's DNA is defined by five core values. Excellence drives us to be the best at what we do, while Innovation fuels our progress. Respect underpins every interaction, and Integrity shapes our actions. Together, we are One Team, united in serving our clients with unwavering dedication. As a responsible and supportive employer, we promote a diverse and inclusive work environment for our employees and candidates. Diversity, Equity and Inclusion are woven into the fabric of our Maison's DNA, and we strive to ensure that our employees can fulfill both their personal and professional aspirations by encouraging internal mobility and individual upskilling programs. We firmly believe that building Diverse Teams contributes to our successes and to deliver on this, we actively embed Diversity, Equity and Inclusion in our business strategy. It is an exciting time to join our Teams. All applications will be handled in the strictest confidence.
Apr 11, 2026
Full time
A career at Lombard Odier means working for a renowned global wealth and asset manager, with a strong focus on sustainable investing. An innovative bank of choice for private and institutional clients, our independently owned Firm is one of the best-capitalised banking groups in the world, managing close to CHF 300 billion and operating from over 25 offices across 4 continents. With a history spanning over 225 years, Lombard Odier is an investment house providing a comprehensive offering of discretionary and advisory portfolio management, wealth services and custody. We also offer asset management services and investment strategies through Lombard Odier Investment Managers and provide advanced banking technology to other financial institutions. "Rethink Everything" is our philosophy - it is at the heart of everything we do. We have grown stronger through more than 40 financial crises by rethinking the world around us to provide a fresh investment perspective for our clients. Lombard Odier Investment Managers ("LOIM") is the asset management business of the Lombard Odier Group. In order to strengthen our IT & Operations team, we are looking for a: Chief Technology Officer (CTO) The Chief Technology Officer (CTO) at LOIM is a key executive leader responsible for defining and executing the firm's global technology strategy, delivering a resilient and scalable technology ecosystem, and enabling innovation across all functions. This role oversees all aspects of IT, data, cybersecurity, digital transformation, AI, and technology operations to ensure LOIM remains competitive, efficient, compliant, and client centric. The CTO will drive a multi year transformation agenda, lead diverse technology teams across locations, manage critical vendor relationships, and deliver major strategic programs that are foundational to LOIM's future operating model. YOUR ROLE Technology Strategy & Governance Define and maintain LOIM's global IT strategy and multi year technology roadmap.Lead the development and execution of key technology pillars (architecture, data, AI, cloud, digital workplace, cybersecurity).Ensure alignment with business strategy, investment priorities, and industry best practices.Provide thought leadership and innovation guidance to the Executive Committee, Boards & Committees, and senior leadership. Technology Leadership & Talent Management Lead, develop, and inspire a multi location technology organization.Build a strong team, upskill the organization to an AI-augmented workforce, and foster a culture of accountability, collaboration, and continuous improvement.Attract and retain high calibre technology professionals. Change, Transformation & Project Delivery Oversee the delivery of major transformation programs, ensuring milestones, scope, and budgets are met.Strengthen project governance, change management, and stakeholder alignment across all business units.Drive implementation of new platforms, tools, and data capabilities to modernize LOIM's technology landscape. Budget, Vendor & Supplier Management Own the global technology budget, ensuring cost discipline and return on investment including establishment & maintenance of impactful relationships with senior management at suppliers.Optimise commercial performance of critical technology partners, including SaaS vendors, market data providers, and infrastructure providers.Negotiate contracts and oversee risk, service levels, and performance. Operational Excellence, Cybersecurity & Resilience Ensure the stability, security, and scalability of all systems and infrastructure.Strengthen cyber defence, vulnerability management, regulatory compliance, and operational risk frameworks.Oversee disaster recovery, business continuity planning, and incident response.Work across functions to minimize IT & Operational errors. Boards, Committees, Reporting & Risk Management Represent Technology at relevant boards, committees (operational risk, digital, IT steering, data governance, investment platform).Produce KPIs, dashboards, and regulatory reports, ensuring accuracy and timely delivery.Proactively manage technology related business risks across the organisation. Client Due Diligence & External Engagement Lead the technology response for client due diligence requests, RFPs, and operational reviews.Present LOIM's technology strategy and controls to investors and partners.Foster strong relationships with external stakeholders, including regulators and auditors. Business Partnership Act as a strategic advisor to Investment, Sales, Risk, Operations, Compliance and Executive leadership teams.Translate business needs into scalable technology solutions.Champion data driven decision making and adoption of digital tools across LOIM.Strong, demonstrable network across industry peers, consortiums / forms and key service providers. YOUR PROFILE 15+ years in senior technology leadership roles, ideally within asset management, wealth management, or capital markets.Proven track record of delivering large scale transformation across investment platforms, data, and enterprise architecture.Deep experience with key investment management platforms (e.g., Enfusion, PORT, FactSet, Aladdin, Bloomberg, market data systems).Strong background in cybersecurity, vendor management, cloud transformation, AI adoption, and regulatory environments.Strategic thinker with ability to translate business objectives into actionable roadmaps.Strong executive presence, capable of influencing C suite and board level stakeholders.Exceptional team leadership, communication, and change management skills.High integrity, resilience, and ability to operate in a complex, fast changing environment. Our Maison's DNA is defined by five core values. Excellence drives us to be the best at what we do, while Innovation fuels our progress. Respect underpins every interaction, and Integrity shapes our actions. Together, we are One Team, united in serving our clients with unwavering dedication. As a responsible and supportive employer, we promote a diverse and inclusive work environment for our employees and candidates. Diversity, Equity and Inclusion are woven into the fabric of our Maison's DNA, and we strive to ensure that our employees can fulfill both their personal and professional aspirations by encouraging internal mobility and individual upskilling programs. We firmly believe that building Diverse Teams contributes to our successes and to deliver on this, we actively embed Diversity, Equity and Inclusion in our business strategy. It is an exciting time to join our Teams. All applications will be handled in the strictest confidence.
Location: London or Gloucestershire Overview We're looking for a Senior Machine Learning Engineer to join a supportive, multidisciplinary team developing AI/ML systems to solve critical National Security challenges. As a Senior Machine Learning Engineer, you'll lead onsite engagements with clients and stakeholders to translate their problems into robust, production-ready machine learning solutions. You'll rapidly explore, prototype, and deploy ML approaches both within and beyond our core capability offerings, taking ownership from initial concept through to live operation. Working at the forefront of applied AI alongside experts across multiple disciplines, you'll help users defend against Defence and National Security threats, directly contributing to safer, more resilient systems deployed where they matter most. Mind Foundry works on some of the most complex and urgent challenges in Defence and National Security. We specialise in supporting customers across the community to make sense at the speed of relevance from the ever-increasing volumes of data collected by sensors and systems. We often find ourselves working at the edge in complex environments where power, compute, and bandwidth are in short supply. The work is challenging, the customer needs products and applications they can trust, and the sense of achievement is therefore substantial. This is an opportunity to innovate at the forefront of applied machine learning, tackle high-impact real-world problems, grow your technical skills, and shape the way AI/ML solutions are delivered to critical operational environments. Because of the nature of this work: You will need to hold existing or be eligible for UK Developed Vetting (DV), details of which can be found on the Gov UK website. Be expected to work primarily on our clients' sites in London or Gloucestershire, please consider your commute when applying. Key day-to-day activities Lead technical scoping and make key architectural decisions to enable delivery of professional-level ML solutions. Design and build prototypes and robust, production-ready ML solutions. Work collaboratively with colleagues across the team (Product Managers, Machine Learning Scientists, Software Engineers) to solve critical National Security challenges. Maintain and develop a strong working knowledge of state-of-the-art ML methods, software tools and implementation methods. Write maintainable production code and promote best practices for code quality in a scientific codebase. Mentor and develop junior Machine Learning Engineers. Provide advice and explain core ML concepts to our customers and partners. Provide training to our customers and partners on Mind Foundry products and solutions. Core kills & Experience • A degree in Computer Science, Applied Mathematics, Statistics, Physics, or a related STEM field (or equivalent practical experience). Strong engineer with demonstrated proficiency in programming languages such as Python, producing clean, reproducible, well-tested, and well-documented code suitable for long-term ownership and handover. Hands-on experience with production infrastructure, including Docker, Linux, CI/CD, MLOps, cloud platforms, and model serving architectures. Be able to work with state-of-the-art ML libraries to deliver powerful results quickly. Exceptional problem-solving skills and comfortable working in ambiguous, fast-moving environments, embedded with customers or delivery teams. Hold existing Developed Vetting (DV) level clearance, or willing and eligible to obtain and maintain UK security clearance to Developed Vetting (DV) level. Nice to Have Prior experience working with government customers, defence contractors, or in military environments. Ability to write technical material (documentation, published papers, internal technical notes etc). Experience with Natural Language Processing (NLP), Large Language Models (LLMs) or Image Processing. Experience in areas of model development, data processing and streaming (Spark, Kafka), microservices in python (Flask or FastAPI), and interactive visualisations and User Interfaces (Streamlit, Plotly, Gradio etc). While we think the above experience is important, we're keen to hear from people that believe they have valuable skills, ideas, or perspectives that will make an impact in this role. If our team and mission resonate with you, but you do not necessarily meet all our requirements, we still encourage you to apply. What do we offer? We believe in investing in our people by encouraging career and personal development that aligns with your goals and ambitions. We make sure all staff have the tools, time and support they need to shape their own professional development. We want to help you excel at what you do and support your growth within the company. You'll enjoy a competitive compensation package and great benefits such as: 25 days of annual leave plus Bank Holidays Salary Sacrifice Pension scheme with a 5% employer contribution (minimum 5% employee contribution) Private Healthcare (including dental and optical cover) Group Life Cover at x3 your annual salary once you pass your probation period Enhanced Paid Parental and Sickness Leave Workplace Nursery Scheme Pet friendly office Professional and personal development For more information, please visit our website or email Interview Process Initialdiscussion with the People team TestDome coding exercise 1 hour interview with two members of the Science & Engineering Team 1 hour technical interview, including a 10-minute presentation and live coding exercise In person meet the team at our Summertown, Oxford office Company Mind Foundry Qualifications Language requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience) Tagged as: Industry, Language Modeling, Machine Learning, Natural Language Processing, NLP, United Kingdom
Apr 11, 2026
Full time
Location: London or Gloucestershire Overview We're looking for a Senior Machine Learning Engineer to join a supportive, multidisciplinary team developing AI/ML systems to solve critical National Security challenges. As a Senior Machine Learning Engineer, you'll lead onsite engagements with clients and stakeholders to translate their problems into robust, production-ready machine learning solutions. You'll rapidly explore, prototype, and deploy ML approaches both within and beyond our core capability offerings, taking ownership from initial concept through to live operation. Working at the forefront of applied AI alongside experts across multiple disciplines, you'll help users defend against Defence and National Security threats, directly contributing to safer, more resilient systems deployed where they matter most. Mind Foundry works on some of the most complex and urgent challenges in Defence and National Security. We specialise in supporting customers across the community to make sense at the speed of relevance from the ever-increasing volumes of data collected by sensors and systems. We often find ourselves working at the edge in complex environments where power, compute, and bandwidth are in short supply. The work is challenging, the customer needs products and applications they can trust, and the sense of achievement is therefore substantial. This is an opportunity to innovate at the forefront of applied machine learning, tackle high-impact real-world problems, grow your technical skills, and shape the way AI/ML solutions are delivered to critical operational environments. Because of the nature of this work: You will need to hold existing or be eligible for UK Developed Vetting (DV), details of which can be found on the Gov UK website. Be expected to work primarily on our clients' sites in London or Gloucestershire, please consider your commute when applying. Key day-to-day activities Lead technical scoping and make key architectural decisions to enable delivery of professional-level ML solutions. Design and build prototypes and robust, production-ready ML solutions. Work collaboratively with colleagues across the team (Product Managers, Machine Learning Scientists, Software Engineers) to solve critical National Security challenges. Maintain and develop a strong working knowledge of state-of-the-art ML methods, software tools and implementation methods. Write maintainable production code and promote best practices for code quality in a scientific codebase. Mentor and develop junior Machine Learning Engineers. Provide advice and explain core ML concepts to our customers and partners. Provide training to our customers and partners on Mind Foundry products and solutions. Core kills & Experience • A degree in Computer Science, Applied Mathematics, Statistics, Physics, or a related STEM field (or equivalent practical experience). Strong engineer with demonstrated proficiency in programming languages such as Python, producing clean, reproducible, well-tested, and well-documented code suitable for long-term ownership and handover. Hands-on experience with production infrastructure, including Docker, Linux, CI/CD, MLOps, cloud platforms, and model serving architectures. Be able to work with state-of-the-art ML libraries to deliver powerful results quickly. Exceptional problem-solving skills and comfortable working in ambiguous, fast-moving environments, embedded with customers or delivery teams. Hold existing Developed Vetting (DV) level clearance, or willing and eligible to obtain and maintain UK security clearance to Developed Vetting (DV) level. Nice to Have Prior experience working with government customers, defence contractors, or in military environments. Ability to write technical material (documentation, published papers, internal technical notes etc). Experience with Natural Language Processing (NLP), Large Language Models (LLMs) or Image Processing. Experience in areas of model development, data processing and streaming (Spark, Kafka), microservices in python (Flask or FastAPI), and interactive visualisations and User Interfaces (Streamlit, Plotly, Gradio etc). While we think the above experience is important, we're keen to hear from people that believe they have valuable skills, ideas, or perspectives that will make an impact in this role. If our team and mission resonate with you, but you do not necessarily meet all our requirements, we still encourage you to apply. What do we offer? We believe in investing in our people by encouraging career and personal development that aligns with your goals and ambitions. We make sure all staff have the tools, time and support they need to shape their own professional development. We want to help you excel at what you do and support your growth within the company. You'll enjoy a competitive compensation package and great benefits such as: 25 days of annual leave plus Bank Holidays Salary Sacrifice Pension scheme with a 5% employer contribution (minimum 5% employee contribution) Private Healthcare (including dental and optical cover) Group Life Cover at x3 your annual salary once you pass your probation period Enhanced Paid Parental and Sickness Leave Workplace Nursery Scheme Pet friendly office Professional and personal development For more information, please visit our website or email Interview Process Initialdiscussion with the People team TestDome coding exercise 1 hour interview with two members of the Science & Engineering Team 1 hour technical interview, including a 10-minute presentation and live coding exercise In person meet the team at our Summertown, Oxford office Company Mind Foundry Qualifications Language requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience) Tagged as: Industry, Language Modeling, Machine Learning, Natural Language Processing, NLP, United Kingdom
MCS Group is delighted to be partnering with a rapidly scaling cloud and data engineering consultancy as they build out a new engineering function in Belfast. This organisation delivers mission-critical platforms across cloud, data, AI, and event-driven systems, working closely with enterprise and high-growth clients to build scalable, production-grade solutions. Due to a strong pipeline of upcoming projects, they are seeking talented Software Engineers who can operate across a variety of modern tech stacks and contribute to multiple high-impact engagements. The Role This is a highly technical, hands-on engineering role suited to developers who enjoy variety and solving complex problems across different domains. You will have the opportunity to work across several greenfield and scaling projects, including: Modern full-stack platforms (React, TypeScript, GraphQL, NestJS) Event-driven systems leveraging cloud-native architectures Data and AI-driven solutions using GCP and advanced data tooling Backend and microservices environments using Java, Python, and Node.js You'll be building scalable systems end-to-end, contributing to architecture, and working closely with both internal teams and external clients. What You'll Be Doing Designing and building scalable, high-performance applications across backend and full-stack environments Developing APIs, microservices, and event-driven systems Working across cloud-native infrastructure (primarily GCP) including serverless and containerised environments Contributing to data pipelines, integrations, and AI-enabled features Collaborating on system design and architectural decisions Implementing CI/CD pipelines and DevOps best practices Working closely with clients to deliver robust, production-ready solutions What You'll Need Strong commercial experience in software development (Java, Python, TypeScript, or JavaScript) Experience with modern frameworks (e.g. React, Node.js/NestJS, Spring, etc.) Solid understanding of APIs, microservices, and distributed systems Experience working with SQL databases (PostgreSQL preferred) Exposure to cloud platforms (GCP, AWS, or Azure) and containerisation (Docker/Kubernetes) Familiarity with CI/CD pipelines (GitHub Actions, GitLab CI, etc.) A flexible mindset and ability to work across multiple tech stacks and projects Nice to Have Experience with event-driven architecture (Pub/Sub, Kafka, etc.) Exposure to data/AI tooling or data pipelines Experience with GraphQL and modern frontend tooling (Next.js, Vite) Knowledge of observability tools (e.g. OpenTelemetry) What's in it for You Work across diverse, cutting-edge projects spanning cloud, data, AI, and full-stack engineering Strong exposure to modern GCP-based architectures and tooling Opportunity to influence technical direction and architecture Hybrid working model Competitive salary and benefits A collaborative, engineering-led culture with real ownership and growth opportunities This is an excellent opportunity for a versatile software engineer who enjoys working across different technologies and wants to be part of a high-growth consultancy delivering complex, real-world systems. To speak in absolute confidence about this opportunity, please send an up to date CV via the link provided or contact Matthew Rainey at Even if this position is not right for you, we may have others that are. Please visit MCS Group to view a wide selection of our current and exclusive roles MCS Group is committed to Equality, Diversity, and Inclusion for all, being the first recruitment agency in NI to achieve Bronze Diversity Mark accreditation, if you have a disability which means you require a reasonable adjustment to be considered at any stage of the recruitment process, please contact us and we will endeavour to facilitate the request. Not all agencies are the same MCS Group are passionate about providing a first-class service to all our customers and have an independent review rating of 4.9 stars on Google.
Apr 10, 2026
Full time
MCS Group is delighted to be partnering with a rapidly scaling cloud and data engineering consultancy as they build out a new engineering function in Belfast. This organisation delivers mission-critical platforms across cloud, data, AI, and event-driven systems, working closely with enterprise and high-growth clients to build scalable, production-grade solutions. Due to a strong pipeline of upcoming projects, they are seeking talented Software Engineers who can operate across a variety of modern tech stacks and contribute to multiple high-impact engagements. The Role This is a highly technical, hands-on engineering role suited to developers who enjoy variety and solving complex problems across different domains. You will have the opportunity to work across several greenfield and scaling projects, including: Modern full-stack platforms (React, TypeScript, GraphQL, NestJS) Event-driven systems leveraging cloud-native architectures Data and AI-driven solutions using GCP and advanced data tooling Backend and microservices environments using Java, Python, and Node.js You'll be building scalable systems end-to-end, contributing to architecture, and working closely with both internal teams and external clients. What You'll Be Doing Designing and building scalable, high-performance applications across backend and full-stack environments Developing APIs, microservices, and event-driven systems Working across cloud-native infrastructure (primarily GCP) including serverless and containerised environments Contributing to data pipelines, integrations, and AI-enabled features Collaborating on system design and architectural decisions Implementing CI/CD pipelines and DevOps best practices Working closely with clients to deliver robust, production-ready solutions What You'll Need Strong commercial experience in software development (Java, Python, TypeScript, or JavaScript) Experience with modern frameworks (e.g. React, Node.js/NestJS, Spring, etc.) Solid understanding of APIs, microservices, and distributed systems Experience working with SQL databases (PostgreSQL preferred) Exposure to cloud platforms (GCP, AWS, or Azure) and containerisation (Docker/Kubernetes) Familiarity with CI/CD pipelines (GitHub Actions, GitLab CI, etc.) A flexible mindset and ability to work across multiple tech stacks and projects Nice to Have Experience with event-driven architecture (Pub/Sub, Kafka, etc.) Exposure to data/AI tooling or data pipelines Experience with GraphQL and modern frontend tooling (Next.js, Vite) Knowledge of observability tools (e.g. OpenTelemetry) What's in it for You Work across diverse, cutting-edge projects spanning cloud, data, AI, and full-stack engineering Strong exposure to modern GCP-based architectures and tooling Opportunity to influence technical direction and architecture Hybrid working model Competitive salary and benefits A collaborative, engineering-led culture with real ownership and growth opportunities This is an excellent opportunity for a versatile software engineer who enjoys working across different technologies and wants to be part of a high-growth consultancy delivering complex, real-world systems. To speak in absolute confidence about this opportunity, please send an up to date CV via the link provided or contact Matthew Rainey at Even if this position is not right for you, we may have others that are. Please visit MCS Group to view a wide selection of our current and exclusive roles MCS Group is committed to Equality, Diversity, and Inclusion for all, being the first recruitment agency in NI to achieve Bronze Diversity Mark accreditation, if you have a disability which means you require a reasonable adjustment to be considered at any stage of the recruitment process, please contact us and we will endeavour to facilitate the request. Not all agencies are the same MCS Group are passionate about providing a first-class service to all our customers and have an independent review rating of 4.9 stars on Google.
the ambitious goal of building the data, AI and software infrastructure for the future of manufacturing working at the crossover of software and hardware (we are truly full stack and often are in factories) designing efficient architectures to handle large amounts of data and 10,000s of connected machines (working on everything from embedded systems and edge compute, to cloud deployments) delivering real impact on how we manufacture the world around us About Matta Matta is creating industrial AI for factories. We are a group of engineers, scientists, and company builders developing manufacturing foundation models (MFMs) and a general-purpose manufacturing OS to improve the sustainability of manufacturing today and to unlock the unimaginable technologies of tomorrow. What we actually do: Build insane AI models that understand the physics of manufacturing processes (think futuristic stuff like machines that watch and correct themselves on the fly or even learn how to use brand-new, never-seen-before materials autonomously). Research new foundational models for manufacturing enabling users to install vision-based inspection and quality control AIs in less than 24 hours! (for context the industry standard is about 6 months). Think really hard about how manufacturing will look in 10+ years and build a brand-new intuitive OS and interfaces for orchestrating factories, monitoring machines, controlling production, etc. all with AI. For context, we are a small dynamic team from Google X, Microsoft, Cambridge, MIT, Imperial, BBC R&D to name a few. We work a lot and are all close friends - come join the family! We're looking for a Backend Engineer to help design, build, and scale our manufacturing OS. You'll work directly on our FastAPI-based backend with the challenging task of designing highly scalable system architectures to handles 1000s of real-time data streams across 100s of manufacturing processes. What makes this especially challenging is generalising across different use cases and customer environments. We need to be super flexible without compromising on performance and code sanity - from beer bottle factories to aerospace components. You'll juggle back and forth between: 1) creating API endpoints for our edge devices, 2) improving the efficiency of database queries, 3) integrating new features in our frontend dashboard 4) plus more. This isn't your typical dev gig - expect to work hard and collaborate with an exceptional team of top engineers, scientists, and builders, all obsessed with embodied AI reshaping the manufacturing world. About You A backend behemoth: You write clean, scalable, high-performance backend code. You take pride in your craft. Bonus points for familiarity or mastery with our tech stack: FastAPI and pydantic, postgres, sqlalchemy, etc. Happy with (or ready to learn about) all the usual add ons like Redis, Celery, New Relic, Sentry; and deploying to production with good CI/CD/testing/logging practices. You've led projects from start to finish, overcoming hurdles and shipping brilliant products (in startups? even better) and you are a bit batty and want to learn more! People person: you love working in teams, sharing knowledge, mentoring/teaching others, and embracing feedback (and yes, you're always game for a team Lego building break). You're adaptable and thrive in dynamic environments where every day brings new challenges. Probably have a master's in engineering / computer science / maths or related field. Ideally 3+ years of industry experience. Above all, we are looking to build a team of creative, outside of the box thinking problem solvers. For this, candidates should be: Capable of setting and reaching ambitious goals, and taking a project from concept to completion. Self directed, self organised, proactive, and comfortable in a dynamic, multi disciplinary work environment. Team players with excellent communication and interpersonal skills. Enthusiastic tea or coffee drinkers who enjoy a good biscuit or two and a good slice of cake (this is the most important criteria). What will impress us Being proactive. Building or sending us example AI or data related projects - even better if related to the role. Whether you're a chess grandmaster, a world champion at tiddlywinks, or a badass musician, we'd love to see the hobbies, skills, or activities you take to the next level - we're always impressed by those who go all in! Clear passion in our mission, not a random reason to work with us. Matta is an equal opportunity employer and encourages individuals from all backgrounds to apply. We offer competitive compensation, the friendliest of teams, an insanely stimulating work environment, and the opportunity to be a part of something massive. Location Our London office, 5 minutes from Old Street Station. Think vibrant startup attic vibes with a team that knows when to laugh and when to focus. Contact us Office address 77 East Road, London, N1 6AH, UK
Apr 10, 2026
Full time
the ambitious goal of building the data, AI and software infrastructure for the future of manufacturing working at the crossover of software and hardware (we are truly full stack and often are in factories) designing efficient architectures to handle large amounts of data and 10,000s of connected machines (working on everything from embedded systems and edge compute, to cloud deployments) delivering real impact on how we manufacture the world around us About Matta Matta is creating industrial AI for factories. We are a group of engineers, scientists, and company builders developing manufacturing foundation models (MFMs) and a general-purpose manufacturing OS to improve the sustainability of manufacturing today and to unlock the unimaginable technologies of tomorrow. What we actually do: Build insane AI models that understand the physics of manufacturing processes (think futuristic stuff like machines that watch and correct themselves on the fly or even learn how to use brand-new, never-seen-before materials autonomously). Research new foundational models for manufacturing enabling users to install vision-based inspection and quality control AIs in less than 24 hours! (for context the industry standard is about 6 months). Think really hard about how manufacturing will look in 10+ years and build a brand-new intuitive OS and interfaces for orchestrating factories, monitoring machines, controlling production, etc. all with AI. For context, we are a small dynamic team from Google X, Microsoft, Cambridge, MIT, Imperial, BBC R&D to name a few. We work a lot and are all close friends - come join the family! We're looking for a Backend Engineer to help design, build, and scale our manufacturing OS. You'll work directly on our FastAPI-based backend with the challenging task of designing highly scalable system architectures to handles 1000s of real-time data streams across 100s of manufacturing processes. What makes this especially challenging is generalising across different use cases and customer environments. We need to be super flexible without compromising on performance and code sanity - from beer bottle factories to aerospace components. You'll juggle back and forth between: 1) creating API endpoints for our edge devices, 2) improving the efficiency of database queries, 3) integrating new features in our frontend dashboard 4) plus more. This isn't your typical dev gig - expect to work hard and collaborate with an exceptional team of top engineers, scientists, and builders, all obsessed with embodied AI reshaping the manufacturing world. About You A backend behemoth: You write clean, scalable, high-performance backend code. You take pride in your craft. Bonus points for familiarity or mastery with our tech stack: FastAPI and pydantic, postgres, sqlalchemy, etc. Happy with (or ready to learn about) all the usual add ons like Redis, Celery, New Relic, Sentry; and deploying to production with good CI/CD/testing/logging practices. You've led projects from start to finish, overcoming hurdles and shipping brilliant products (in startups? even better) and you are a bit batty and want to learn more! People person: you love working in teams, sharing knowledge, mentoring/teaching others, and embracing feedback (and yes, you're always game for a team Lego building break). You're adaptable and thrive in dynamic environments where every day brings new challenges. Probably have a master's in engineering / computer science / maths or related field. Ideally 3+ years of industry experience. Above all, we are looking to build a team of creative, outside of the box thinking problem solvers. For this, candidates should be: Capable of setting and reaching ambitious goals, and taking a project from concept to completion. Self directed, self organised, proactive, and comfortable in a dynamic, multi disciplinary work environment. Team players with excellent communication and interpersonal skills. Enthusiastic tea or coffee drinkers who enjoy a good biscuit or two and a good slice of cake (this is the most important criteria). What will impress us Being proactive. Building or sending us example AI or data related projects - even better if related to the role. Whether you're a chess grandmaster, a world champion at tiddlywinks, or a badass musician, we'd love to see the hobbies, skills, or activities you take to the next level - we're always impressed by those who go all in! Clear passion in our mission, not a random reason to work with us. Matta is an equal opportunity employer and encourages individuals from all backgrounds to apply. We offer competitive compensation, the friendliest of teams, an insanely stimulating work environment, and the opportunity to be a part of something massive. Location Our London office, 5 minutes from Old Street Station. Think vibrant startup attic vibes with a team that knows when to laugh and when to focus. Contact us Office address 77 East Road, London, N1 6AH, UK
BNY Mellon Capital Markets, LLC
Manchester, Lancashire
Full-Stack Engineer OpportunitiesManchester, Greater Manchester, United KingdomFull-Stack Engineer Opportunities - All seniority levelsAt BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what is all about. Join us and be part of something extraordinary. We welcome you to apply! When applying to this general posting, our expert BNY Talent Acquisition Team may also review your resume for consideration across other open roles within the company.We're seeking a future team members for the role of Full-Stack Engineer to join our team. This role is located in Manchester.Role Overview: BNY is seeking a Software Engineer to lead high-impact teams. This role encompasses end-to-end delivery ownership, elevating engineering standards, nurturing talent, and collaborating closely with product and business stakeholders. The aim is to create secure, resilient, and scalable systems. This opportunity is ideal for a hands-on leader who excels in agile environments and transforms complex business challenges into elegant, dependable solutions.In this role, you'll make an impact in the following ways: Lead and develop inclusive, high-performing engineering teams; set clear objectives, coach talent, and foster succession planning Own end-to-end delivery for critical software: requirements, architecture, implementation, testing, deployment, observability, and reliability. Raise engineering excellence and resilience: best practices and automation across code, testing, microservices/APIs, performance, and infrastructure; secure-by-design with threat modeling, logging/monitoring, incident playbooks, and disaster recovery. Partner with product, design, and operations to translate outcomes into measurable technical plans; guide architecture modernization, integrations, cloud/container adoption, and technical debt remediation. Represent engineering in program reviews and governance forums; ensure compliance, risk management, and operational excellence-aligned to BNY's principles and strategic pillars.To be successful in this role, we're seeking the following: Proven leadership of software engineering teams building distributed systems and microservices in agile environments (Scrum/Kanban) Deep Java experience (Spring), architectural patterns for scalable, observable, testable systems; strong API design. Strong DevOps practices: CI/CD (e.g., GitLab), automated testing (JUnit/Spock), code reviews, telemetry/observability (Splunk, AppDynamics), containers (Docker), and cloud Hands-on AI development using modern tools and IDEs (e.g., Windsurf) and experience integrating AI into product workflows Excellent communication and stakeholder influence; ability to simplify complexity, make evidence-based decisions and drive continuous improvement. Corporate Actions domain experience strongly preferred. Groovy/Spock and JavaScript/TypeScript with Angular for full-stack contexts preferred Financial services background with risk and controls in regulated environments preferredAt BNY, our culture speaks for itself, check out the latest BNY news at: Here's a few of our recent awards: America's Most Innovative Companies, Fortune, 2025 World's Most Admired Companies, Fortune 2025 "Most Just Companies", Just Capital and CNBC, 2025Our Benefits and Rewards:BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.This is a talent pipeline posting and does not represent any one particular job opening. By applying to this pipeline requisition, your interest will be reviewed for multiple potential openings based upon your background and disclosed work preference.
Apr 10, 2026
Full time
Full-Stack Engineer OpportunitiesManchester, Greater Manchester, United KingdomFull-Stack Engineer Opportunities - All seniority levelsAt BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what is all about. Join us and be part of something extraordinary. We welcome you to apply! When applying to this general posting, our expert BNY Talent Acquisition Team may also review your resume for consideration across other open roles within the company.We're seeking a future team members for the role of Full-Stack Engineer to join our team. This role is located in Manchester.Role Overview: BNY is seeking a Software Engineer to lead high-impact teams. This role encompasses end-to-end delivery ownership, elevating engineering standards, nurturing talent, and collaborating closely with product and business stakeholders. The aim is to create secure, resilient, and scalable systems. This opportunity is ideal for a hands-on leader who excels in agile environments and transforms complex business challenges into elegant, dependable solutions.In this role, you'll make an impact in the following ways: Lead and develop inclusive, high-performing engineering teams; set clear objectives, coach talent, and foster succession planning Own end-to-end delivery for critical software: requirements, architecture, implementation, testing, deployment, observability, and reliability. Raise engineering excellence and resilience: best practices and automation across code, testing, microservices/APIs, performance, and infrastructure; secure-by-design with threat modeling, logging/monitoring, incident playbooks, and disaster recovery. Partner with product, design, and operations to translate outcomes into measurable technical plans; guide architecture modernization, integrations, cloud/container adoption, and technical debt remediation. Represent engineering in program reviews and governance forums; ensure compliance, risk management, and operational excellence-aligned to BNY's principles and strategic pillars.To be successful in this role, we're seeking the following: Proven leadership of software engineering teams building distributed systems and microservices in agile environments (Scrum/Kanban) Deep Java experience (Spring), architectural patterns for scalable, observable, testable systems; strong API design. Strong DevOps practices: CI/CD (e.g., GitLab), automated testing (JUnit/Spock), code reviews, telemetry/observability (Splunk, AppDynamics), containers (Docker), and cloud Hands-on AI development using modern tools and IDEs (e.g., Windsurf) and experience integrating AI into product workflows Excellent communication and stakeholder influence; ability to simplify complexity, make evidence-based decisions and drive continuous improvement. Corporate Actions domain experience strongly preferred. Groovy/Spock and JavaScript/TypeScript with Angular for full-stack contexts preferred Financial services background with risk and controls in regulated environments preferredAt BNY, our culture speaks for itself, check out the latest BNY news at: Here's a few of our recent awards: America's Most Innovative Companies, Fortune, 2025 World's Most Admired Companies, Fortune 2025 "Most Just Companies", Just Capital and CNBC, 2025Our Benefits and Rewards:BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.This is a talent pipeline posting and does not represent any one particular job opening. By applying to this pipeline requisition, your interest will be reviewed for multiple potential openings based upon your background and disclosed work preference.
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
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)
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.
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.
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
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.
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.
