Holt Executive

We are seeking a highly experienced Senior Space Systems Engineer to support the design, development, and integration of complex space-based systems across telecommunications and positioning, navigation, and timing domains. This is a senior-level opportunity within a strategic engineering team focused on delivering high-performance, resilient global communication and navigation capabilities for mission-critical users. The role spans early concept studies through to full system development and delivery. You will be part of a multidisciplinary engineering environment, contributing to the growth of advanced systems engineering capability while helping shape next-generation space-enabled services. Key Responsibilities Lead and support technical activities across mission concept studies, research programmes, and full system development projects Conduct mission analysis, trade studies, and system architecture design Manage system and subsystem requirements capture, flow-down, and verification Develop and maintain system budgets (mass, power, data, thermal) and performance models Contribute to strategic development of PNT and telecommunications capabilities Support engagement with institutional and governmental space organisations and stakeholders Produce technical reports, bid documentation, and engineering recommendations for senior stakeholders Identify and manage programme risks, assumptions, dependencies, and technical issues Perform reliability, availability, and maintainability (RAMS) analysis of system architectures Apply Model-Based Systems Engineering (MBSE) tools and approaches to validate system designs Experience Required Degree-qualified in Physics, Engineering, Mathematics, or a related numerate discipline (or equivalent experience) Significant experience in systems engineering or system architecture roles within the space industry or a related sector Strong understanding of spacecraft systems, space mission operations, and spacecraft development (including AIT processes) Experience with system modelling tools such as STK, MATLAB, and MBSE platforms (e.g. Enterprise Architect) Knowledge of orbit determination techniques and space system analysis Strong understanding of project management and financial modelling principles Excellent communication skills, including technical writing and stakeholder presentations at all levels Membership of a professional engineering institution (e.g. INCOSE or equivalent) is desirable Desirable Experience Knowledge of PNT systems, GNSS, satellite-based augmentation systems, or time transfer techniques Experience with advanced space system operations and analysis methodologies Familiarity with alternative timing systems beyond GNSS-based solutions Exposure to large-scale international space or government programmes TT

A leading technology organisation is seeking an experienced Senior Software Engineer to join a team responsible for developing and supporting critical software applications used to monitor, analyse, and optimise large-scale operational systems. This is an exciting opportunity for a hands-on engineer to work on real-time data platforms, operational tooling, and service assurance solutions that provide valuable insights into complex network environments. You will play a key role in designing, developing, and maintaining software that supports business-critical operations, working closely with engineering teams, product stakeholders, and operational users. The role combines software development, system integration, troubleshooting, and continuous improvement, making it ideal for someone who enjoys solving complex technical challenges and delivering reliable, scalable solutions. Key Responsibilities Develop, enhance, and support software applications used within operational environments. Design and implement new features based on user and business requirements. Work closely with engineering teams to understand system architectures and ensure effective monitoring and data collection capabilities. Analyse system performance, troubleshoot issues, and support operational teams with fault diagnosis. Participate in software design, code reviews, testing, and documentation activities. Collaborate with internal stakeholders, product teams, and third-party suppliers to deliver effective solutions. Support the ongoing maintenance and improvement of operational systems. Identify opportunities to improve processes, tooling, and software reliability. Contribute to the full software development lifecycle, from requirements gathering through to deployment and support. Provide technical support for live operational systems, including occasional on-call responsibilities. Experience Required Degree in Computer Science, Software Engineering, or a related technical discipline. Strong hands-on experience developing software using Java within a real-time operational environment. Strong experience with JavaScript and Node.js development. Experience working with both Windows and Linux operating systems. Good understanding of IP networking and experience troubleshooting network issues using tools such as Wireshark or similar. Experience working with event streaming technologies such as Kafka. Strong understanding of the full software development lifecycle. Experience producing high-quality, maintainable, and reusable software within a collaborative engineering environment. Understanding of object-oriented analysis, design principles, and common design patterns. Strong communication skills with the ability to collaborate effectively across technical and non-technical teams. Awareness of software and network security best practices. Experience producing clear technical documentation to support ongoing development and operational support. Desirable Experience Real-time monitoring or service assurance platforms. Large-scale distributed systems. Data analysis and operational dashboards. Network management or telecommunications environments. Supporting production systems within a 24/7 operational environment. The Ideal Candidate You will be a proactive and curious engineer who enjoys understanding complex systems, identifying improvements, and developing practical solutions. You will have strong technical ownership, excellent problem-solving skills, and the ability to work collaboratively across engineering and operational teams. This is an opportunity to contribute to highly visible software platforms that support critical services while working within a technically challenging and collaborative engineering environment. Benefits Hybrid and flexible working arrangements. Competitive salary and comprehensive benefits package including annual bonus. Pension scheme and private healthcare. Professional development and training opportunities. Opportunity to work on cutting-edge satellite technologies. Collaborative engineering culture with exposure to complex international programmes. TT

A leading satellite communications organisation is seeking an experienced Systems Engineer to join its Access Networks engineering team, supporting the design, integration, and deployment of next-generation satellite communications systems. This is an exciting opportunity to play a key role in the development of advanced 5G Non-Terrestrial Networks (NTN), working across cutting-edge satellite programmes and helping deliver innovative connectivity solutions. You will contribute throughout the full systems engineering lifecycle, from requirements definition and architecture through integration, testing, and operational deployment. Working within a multidisciplinary engineering environment, you will collaborate with systems, software, network, and operations teams while acting as a technical authority across complex communications programmes. Key Responsibilities Lead systems engineering activities for Radio Access Network (RAN) and Access Network subsystems. Develop and manage system requirements, specifications, and technical documentation. Support the design, integration, validation, and deployment of advanced satellite ground segment capabilities. Design and validate 5G NTN Layer 2 and Layer 3 features in line with 3GPP standards. Lead simulation and modelling activities to evaluate system performance and inform engineering decisions. Develop test methodologies, tools, and validation campaigns for new network capabilities. Support the deployment of laboratory and test infrastructure for next-generation communications systems. Collaborate with software, systems, operations, and programme teams to successfully introduce new services. Investigate and resolve complex technical challenges across multiple engineering disciplines. Contribute to future radio resource management strategies to maximise network performance and efficiency. Monitor industry developments and emerging technologies, helping shape future system architecture and technology roadmaps. Provide technical leadership during integration, testing, and service introduction activities. Required Experience & Qualifications Degree in Electronic Engineering, Telecommunications, Satellite Communications, Computer Science, or a related engineering discipline. Strong systems engineering experience within telecommunications or satellite communications environments. Knowledge of Radio Access Network (RAN) technologies. Understanding of: 5G Non-Terrestrial Networks (NTN) Satellite propagation Modulation and coding Mobile satellite and VSAT systems Experience developing system requirements, specifications, and technical documentation. Desirable Experience Experience with any of the following would be advantageous: 3GPP 5G standards Satellite ground segment systems Terrestrial mobile network design and operation Radio resource management RF systems and antenna technologies (Ka, L or Q/V Band) Performance modelling, simulation, and data analysis Large-scale telecommunications or satellite network integration programmes Why Apply? This is an opportunity to work on some of the most advanced satellite communications programmes currently in development, helping deliver next-generation global connectivity solutions. You'll join a highly collaborative engineering environment where you'll influence system architecture, contribute to innovative technologies, and work across the full lifecycle of complex satellite communications systems. Benefits Hybrid and flexible working arrangements. Competitive salary and comprehensive benefits package. Pension scheme and private healthcare. Professional development and training opportunities. Opportunity to work on cutting-edge satellite and 5G NTN technologies. Collaborative engineering culture with exposure to complex international programmes. TT

We are supporting a leading technology organisation in the search for a Cyber Security Analyst to join its Security Operations team. This is an excellent opportunity to join a fast-paced cybersecurity environment, helping to protect critical infrastructure and enterprise systems through proactive monitoring, incident response, and threat analysis. Working as part of a 24/7 operational security function, you will play a key role in identifying, investigating, and responding to security threats across both cloud-based and on-premise environments. Key Responsibilities Monitor security events, alerts, and incidents across enterprise networks and systems. Manage security cases and tickets through to resolution. Analyse logs and data from SIEM platforms, security monitoring tools, network infrastructure, and endpoint technologies. Investigate and triage security alerts to identify malicious activity and determine attack methods and techniques. Follow established incident response and escalation procedures to contain and mitigate security risks. Ensure all incidents are accurately documented, including indicators of compromise, evidence, and investigation findings. Identify and address false positives, providing feedback to improve detection capabilities. Support the development and optimisation of security monitoring rules and processes. Analyse data sets to identify security gaps and recommend improvements. Skills & Experience Essential Degree in Information Security, Computer Science, Digital Forensics, or a related discipline, or equivalent industry experience. 3+ years' experience in cyber security, security operations, threat analysis, or security monitoring. Experience investigating security incidents and working within a Security Operations Centre environment. Understanding of incident response processes, security event triage, and escalation procedures. Strong knowledge of networking protocols, authentication mechanisms, and common attack techniques. Good understanding of information security principles, technologies, and best practices. Experience securing and supporting Windows and Linux environments. Excellent written and verbal communication skills. Desirable Industry certifications such as GCIH, GCIA, or equivalent cyber security qualifications. Experience working with SIEM platforms and security monitoring technologies. Knowledge of Oracle and virtualised environments. What's on Offer Opportunity to work within a highly skilled cyber security team. Exposure to complex security environments and emerging threats. Ongoing professional development and training opportunities. Collaborative and supportive working culture. Competitive salary, bonus and benefits package. This is an excellent opportunity for a Cyber Security Analyst looking to further develop their incident response, threat analysis, and security operations expertise within a technically challenging environment. TT

We are looking for a talented Senior Algorithms Engineer to join an innovative engineering team developing advanced machine learning and computer vision solutions for complex, real-world applications. This is an exciting opportunity for an experienced engineer to work on challenging perception and intelligence problems, applying techniques across AI, computer vision, image processing, and statistical modelling. You will play a key role in developing algorithms that enable systems to better detect, interpret, and respond to their environment. The successful candidate will have the opportunity to take ownership of technically challenging projects, influence future development activities, and support the growth of engineering capability through collaboration and mentoring. Key Responsibilities Develop and optimise machine learning and computer vision algorithms for real-world applications. Investigate complex technical challenges, designing experiments and approaches to identify effective solutions. Analyse datasets, model performance, and system behaviour to improve algorithm capability. Support the development of automated workflows for data processing, training, testing, and evaluation. Contribute to the integration and deployment of algorithms within advanced software systems. Share technical knowledge, mentor colleagues, and contribute to best practice across the engineering team. Keep up to date with emerging developments in AI, machine learning, and computer vision. Experience Required Degree or equivalent experience in Computer Science, Artificial Intelligence, Engineering, Mathematics, Physics, or a related discipline. Proven experience developing machine learning or computer vision algorithms for production or near-production environments. Strong understanding of modern computer vision techniques, including object detection, image classification, and deep learning architectures. Experience working with image datasets and applying image processing techniques to improve model performance. Strong programming skills in Python, with experience in C++ for performance-critical applications. Ability to solve complex technical problems through structured investigation and practical experimentation. Strong communication skills with the ability to explain technical concepts clearly. Due to the nature of the work, successful applicants will be required to obtain UK Security Clearance. Desirable Experience Experience with any of the following would be beneficial: Statistical modelling, Bayesian methods, uncertainty estimation, or probabilistic techniques. Synthetic data generation, multi-modal AI, or action recognition. Machine learning development tools, experiment tracking, dataset management, or CI/CD pipelines. Automation of development, testing, or deployment workflows. Cross-platform C++ development and build systems such as CMake. Benefits Hybrid and flexible working arrangements. 37.5-hour working week with Friday lunchtime finish. 28 days annual leave plus Christmas closure. Holiday purchasing scheme. Matched pension contributions up to 6%. Private medical insurance and income protection. Life assurance and employee assistance programme. Share incentive and savings schemes. Electric vehicle salary sacrifice scheme. Wellbeing support and employee benefits platform. Learning and development opportunities. TT