412 jobs found

Our client, a prominent entity in the Defence & Security sector, is currently seeking a skilled Software Developer to join their team on a contract basis. This role is integral to enhancing and securing modern technology platforms, ensuring the protection of critical national infrastructure. Key Responsibilities: Own and deliver engineering platform capabilities that facilitate building, testing, securing, and deploying services in a highly automated, CI/CD-driven environment. Design, implement, and evolve CI/CD pipelines, ensuring consistent, reliable, and repeatable delivery processes across multiple teams and services. Embed Infrastructure-as-Code (IaC) practices to drive standardisation and scalability. Integrate security controls into engineering workflows, ensuring services are secure by design. Support and enable engineering teams by providing guidance, tooling, and best practices. Continuously optimise automation, identifying opportunities to remove repetitive manual tasks and improve the developer experience. Collaborate across development, security, and operations to promote end-to-end ownership of services. Maintain and improve engineering tooling and platforms, including source-code control systems, build systems, artifact repositories, and deployment frameworks. Job Requirements: Proficiency in software application development using languages such as Java, Python, JavaScript, C++, or C#. Experience with database technologies (e.g., Elastic, MySQL, SQL Server). Understanding of CI/CD platforms (e.g., GitLab, Jenkins) and source-code control (e.g., Git, GitOps). Knowledge of infrastructure management frameworks (e.g., Terraform, Ansible, Chef). Familiarity with containerisation platforms (e.g., Kubernetes, Helm). Experience with cloud-native platforms (e.g., AWS, Azure, GCP). Ability to integrate security controls into engineering workflows. Understanding of software and system validation, and test principles. Benefits: Opportunity to work on significant and challenging projects within the Defence & Security sector. Access to cutting-edge tools and infrastructure in a technology-first environment. Professional development and training opportunities. A collaborative and mission-focused work atmosphere. If you are an experienced Software Developer looking for an opportunity to contribute to national security and work with state-of-the-art technology, we encourage you to apply now. Join our client's dynamic team and make a meaningful impact in the Defence & Security sector.

The Role: AWS SRE - Datadog Location: London, UK Position Type: Contract Inside IR35 Job Description: We are looking for someone with a strong background in Datadog, Geneos, Gitlab and Infra-as-Code (Terraform). You will play a crucial role in our technology team, contributing to the development, deployment, and maintenance of our monitoring and alerting infrastructure. Key Responsibilities Architect, implement, and maintain observability platforms using Datadog and Geneos to ensure comprehensive monitoring and alerting. Design and manage scalable infrastructure using Terraform and Infrastructure as Code (IaC) principles. Champion GitOps methodologies using GitLab for CI/CD, configuration management, and deployment automation. Collaborate with engineering teams to embed reliability, scalability, and performance into the software development lifecycle. Collaborate with software developers across multiple geographies and cross-functional teams to understand project objectives, gather requirements, and deliver systems and software within agreed upon timelines. Optimize alerting strategies to reduce noise and improve actionable insights. Mentor junior engineers and contribute to the evolution of SRE best practices. Oversee and continuously optimize cloud cost management strategies for our Observability infrastructure in line with Cloud FinOps principles. Collaborate with executive leadership and cross-functional stakeholders to align infrastructure strategy with long-term business objectives. Lead incident response, perform root cause analysis, and drive continuous improvement through blameless post-mortems. Ensure code is up-to-date, maintainable, scalable, and secure. Stay updated on industry best practices and emerging technologies in Observability, DevOps and Cloud. Must Have Skills Strong hands-on experience with AWS cloud services: EC2, S3, RDS, Lambda, VPC, IAM, CloudWatch, EKS, ECS Strong hands-on expertise in Infrastructure as Code (IaC) using Terraform. Deep knowledge and hands-on experience with CI/CD tools (e.g., GitLab CI, Jenkins, etc.) for Java and Python based Microservices-style architectures. Deep expertise in Datadog for metrics, logs, traces, and dashboards. Proficiency with Geneos for real-time monitoring and alerting. Solid understanding of GitLab and GitOps workflows. Strong scripting and automation skills (e.g., Python, Bash). Solid understanding of Linux systems, networking, and distributed systems. Experience with containerization and orchestration (e.g., Docker, Kubernetes). Excellent problem-solving skills and ability to work collaboratively.

NOC Engineer + AWS Kubernetes Fully Remote (UK) 24/7 Shift Pattern (28-day rota including days & nights) Competitive + Bonus + Excellent Benefits Build resilient cloud platforms that support critical national services. This is far more than a traditional NOC role. You'll be joining an engineering-led organisation where reliability, automation and continuous improvement sit at the heart of the platform. Rather than simply responding to incidents, you'll work to prevent them by improving systems, automating operational processes and helping shape the future of highly resilient cloud services. If you're passionate about building reliable cloud platforms and enjoy solving complex technical problems in large-scale production environments, we'd love to hear from you. What you'll be doing Monitoring and maintaining highly available production platforms running in AWS Responding to and managing production incidents across a 24/7 service Investigating complex technical issues and restoring services quickly and effectively Developing automation to reduce manual operational tasks and improve platform resilience Building and improving monitoring, alerting and observability across cloud environments Working alongside Software, Platform, Cloud and Security Engineers to improve reliability and operational excellence Contributing to post-incident reviews and driving continuous service improvements Supporting containerised workloads using Kubernetes and Docker What we're looking for You'll ideally have experience in a Production Engineering, Cloud Operations or NOC environment with exposure to: Linux systems administration AWS cloud infrastructure Kubernetes and Docker Production support and incident management Python, Bash or Go scripting Monitoring and observability platforms such as Grafana, Prometheus, Datadog, Splunk or CloudWatch Networking fundamentals including DNS, TCP/IP and load balancing A passion for automation, continuous improvement and operational excellence Experience with Infrastructure as Code (Terraform), SRE principles (SLIs, SLOs), or regulated environments would be beneficial but isn't essential. Why join? Apply today or contact Dave Carlisle at Spectrum IT Recruitment for a confidential discussion. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

DV Cleared AI & Palantir Engineers - Graduate to Senior Location: Central London (Hybrid) Salary: 40,000 - 100,000 + Performance Bonus + Excellent Benefits Security Clearance: Active UK DV Clearance Required Shape the Future of National Security & Advanced Technology We're partnering with an innovative organisation delivering cutting-edge technology solutions across some of the UK's most complex and high-impact programmes. We're looking for DV Cleared professionals with experience in Artificial Intelligence, Machine Learning, Data Engineering, Software Engineering, or Palantir Technologies to join a growing team based in Central London . Whether you're a recent graduate with active DV clearance or an experienced Senior Engineer , we'd love to hear from you. We're Looking For You may have experience in one or more of the following: Artificial Intelligence (AI) & Machine Learning Generative AI & Large Language Models (LLMs) Palantir Foundry, Gotham or AIP Data Engineering & Data Analytics Software Engineering Python, Java or similar programming languages Cloud technologies (AWS, Azure or GCP) Data integration, modelling and visualisation Solving complex technical challenges within secure environments What You'll Bring Active UK Developed Vetting (DV) Clearance (essential) A passion for solving challenging technical problems Strong analytical and communication skills The ability to work collaboratively with multidisciplinary teams A desire to contribute to projects that make a real-world impact What's on Offer Competitive salary of 40,000 - 100,000 depending on experience Performance-related bonus Comprehensive company benefits package Clear career progression from Graduate through to Senior Engineer The opportunity to work with industry-leading technologies, including AI and Palantir Exposure to high-profile, mission-critical programmes A collaborative, high-performing technical environment Interested? If you hold active UK DV Clearance and have experience with AI, Machine Learning, Palantir Technologies , or related engineering disciplines, we'd love to speak with you. Apply today or get in touch for a confidential discussion to learn more about these exciting opportunities in Central London.

Introduction Saab UK is part of Scandinavia's largest defence company, bringing together the best of Swedish and British innovation. Saab offers world-leading solutions and services in defence, aviation, space, and civil security to keep people and society safe. Our UK presence has been growing at pace, meaning we can offer a wide range of opportunities for personal fulfilment and career growth. We currently employ over 600 people across eight sites in the UK, and our specialisations include software engineering, underwater robotics, radars, AI, and armed forces training. The Role: This role is part of our Sensor Systems Radar Business in Fareham. At Saab, we are constantly looking ahead and pushing boundaries on what s considered technically possible. Saab is expanding in the UK and we are now seeking talented and highly motivated engineers to support our radar and sensors growth activities at our Fareham offices. We are recruiting for a Senior Systems Engineer specialising in Positioning, Navigation, and Timing (PNT) and Distributed Sensing. The successful candidate is expected to fulfil the requirements of a Saab Specialist, and act as a technical leader to: drive development, lead innovation and anticipate future trends, identify opportunities, mitigate risks, and advocate change to maintain competitiveness. Also lead competence development, and formulate and maintain Specialist Work Programmes. Key Responsibilities: As a Senior System Engineer, you will be responsible for enhancing our current products, developing improvements and investigating new areas for product growth, as well as supporting the Engineering Team with various Systems Engineering-focussed activities. System Architecture & Design. Lead the architectural design of PNT solutions, integrating Global Navigation Satellite System (GNSS), Inertial Navigation Systems, and alternative PNT (e.g., vision-based, RF-based, or celestial navigation). Architect distributed sensing networks, defining how data is collected, synchronized, and fused across multiple remote nodes to create a unified operational picture. Define system-level requirements, interface control documents, and performance specifications for timing accuracy and positioning precision. Perform trade studies to optimise the balance between size, weight, power, and cost and system performance. PNT & Synchronization Expertise . Implement and optimise high-precision timing distribution protocols (e.g., PTP/IEEE 1588, NTP, or White Rabbit). Develop strategies for PNT resilience, including mitigation of jamming, spoofing, and GNSS-denied environment operations. Lead the selection and integration of atomic clocks, quantum oscillators, and high-grade IMUs. Distributed Sensing & Data Fusion . Design algorithms and architectures for distributed beamforming, phased arrays, or coordinated sensor fusion. Manage the challenges of network latency, jitter and asynchronous data arrival in distributed sensing environments. Collaborate with software teams to implement edge-processing capabilities to reduce data backhaul from sensing nodes. Integration, Test & Evaluation . Develop comprehensive verification and validation (V&V) plans to prove timing and positioning accuracy. Design and execute complex test campaigns using hardware-in-the-loop and software-in-the-loop simulations. Lead the analysis of telemetry and test data to identify systemic errors and drive corrective design changes. Leadership & Mentorship . Serve as the Subject Matter Expert for PNT and Distributed Sensing across cross-functional teams (Radio Frequency, Software, Mechanical). Mentor junior engineers in systems engineering best practices and specialized domain knowledge. Present technical roadmaps and progress reports to senior leadership and external. Skills and Experience: Required Master's or PhD in a related field. A minimum of five to ten years industrial radar, communications or electronic warfare systems experience. A minimum of seven years of experience in systems engineering, specifically focusing on PNT and/or distributed sensor systems. Proven track record with systems utilising GNSS (GPS, Galileo, GLONASS) and Inertial Navigation (Kalman Filtering, sensor fusion). Experience with distributed aperture systems, sensor networks, or Multiple-Input Multiple-Output radar architectures. Proficiency with MATLAB/ Simulink for modelling and simulation. Experience with Model-Based Systems Engineering tools and requirements management tools. Familiar with the principles of ISO 15288:2023. During your employment you will handle tasks and materials that are classified as military secret and therefore you must have a UK or Swedish citizenship. Desirable RF Knowledge: Strong understanding of RF front-end design, antenna theory and signal propagation. Programming. Proficiency in C++, Python, or Rust for prototyping algorithms. Security. Experience with encrypted PNT signals or secure timing distribution. By submitting an application to Saab UK you consent to undertaking workforce screening activities that may include but are not limited to: Baseline Personnel Security checks, National Security Vetting, reference checks, verification of working rights and in all circumstances preferred candidates will be placed through a security interview.

Job Description Quantum Computational Science Specialist Derby (Hybrid) Full Time Why join Rolls-Royce? At Rolls-Royce we are proud to be a business that has truly helped to shape the modern world and are committed to always being a force for progress; powering, protecting and connecting people everywhere. By joining Rolls-Royce, you'll have the opportunity to work on world-class solutions, supported by a culture that believes individuality is our greatest strength, and all perspectives, experiences and backgrounds help us innovate and enable our high-performance culture. An exciting opportunity has arisen for an experienced Quantum Computing Specialist to join the Future Technology team within the Rolls-Royce R&T organisation based in Derby. The role will lead Quantum Computing activities including developing applications and algorithms for Fault Tolerant Quantum Computers, hybrid quantum-classical workflows, classical circuit simulation using High Performance Computers. Application areas include Quantum Linear Equation Solvers, state and matrix loading, block encoding, measurement observables and state reconstruction including machine learning and data science. The team aims to radically transform RR Engineering methods and software, applying these to emerging novel products & services. The potential of quantum computing to disrupt the way businesses design their products will only be possible with robust engineering applications. The successful candidates will join Rolls-Royce at the outset of its journey of disruption with multiple opportunities to shape our future methods and software; and, to interact with technical experts inside and outside the Company. More information about innovation at Rolls-Royce is available via this link: (url removed) What you will be doing: In this role, you will be part of a dynamic, agile and creative team, directly reporting to the Chief of Future Methods. You will lead and support state-of-the-art research programmes with quantum computing companies, universities, and government research laboratories. You will develop quantum computational science methods as part of future multi-physics simulation capabilities, developing algorithms and codes to utilise quantum processors. Both roles will focus on error-corrected algorithms and develop practical applications that can be run in emulation in advance of using physical devices. For Quantum Linear Equation Solvers, this will build on our existing expertise in Quantum Singular Value Transformation and extend into new areas such as solving time-dependent PDEs and circuit contraction using tensor networks. We expect there to be many crossovers in the algorithms being developed and for the two roles to work closely together and with the rest of the team. Both will involve hybrid classical-quantum algorithms and the use of high-performance computers for larger test cases. This will include a propensity to influence RR to adopt these methods and support their wider commercialisation as appropriate. As such, the role offers the opportunity to work with a broad and complex stakeholder community, both internal and external. You may also take part in technology horizon scanning and identify and assess emerging computation technologies. Preferred requirements: Essential A degree in Physics, Mathematics or equivalent qualification. A sound understanding of quantum information and postgraduate experience in computational science, or a strong experience using classical linear algebra. Experience using and implementing quantum computing algorithms including development with one or more development environments; PennyLane, QuEST, or similar. Proficiency in C++ and Python Strong consultancy skills with the ability to engage effectively with domain experts, academics, start-ups and technology vendors globally. Excellent communication skills with the ability to communicate with non-quantum computing specialists including seniors within Rolls-Royce. Experience and expertise in solvers for Fault Tolerant Quantum Computers, such as Quantum Singular Value Transformation. Desirable Experience of parallel programming for high performance computing. Experience of simulation and modelling and/or machine learning for engineering. Knowledge of state loading, matrix encoding, amplitude amplification and measurement operators Azure DevOps, Cloud compute architecture, and HPC system management/deployment Experience in classical data science and machine learning Benefits will include: Retirement Savings through the Rolls-Royce Retirement Savings Trust Group Life Assurance provides for a lump sum benefit if you die whilst employed by Rolls-Royce Group Income Protection provides an income in the event that you are unable to work due to illness or injury Your Shares: Matched is a simple way to own Rolls-Royce shares and invest in our future, together. Buy one share, get one free! Digital GP provides a convenient way for you to access GP consultations Employee Assistance (EAP) and Live Well programmes Our vision is to ensure that the excellence and ingenuity that shaped our history continues into our future. Our multi-year transformation programme aims to turn Rolls-Royce into a high-performing, competitive, resilient and growing company. Join us, and it can be your future vision too. Rolls-Royce are committed to being a respectful, inclusive, and non-discriminatory workplace where individuality is valued, diverse perspectives fuel innovation, and everyone can thrive. Closing date: 16th August 2026 As part of our selection process, candidates in certain locations may be asked to complete an online assessment, which can include cognitive and behavioural aptitude testing relevant to the role. If required, full instructions for the next steps will be provided. Job Category Software Systems Posting Date 03 Aug 2026; 00:08 Posting End Date 16 Aug 2026PandoLogic.

We are working with a global Software, Systems & Engineering company in the Defence Sector, supporting them with appointing a Software Development Engineer . This is not a traditional software development role. They're looking for engineers who understand the engineering behind autonomous systems and can develop production-quality software to solve complex real-world problems. The successful candidate will work on the design, development, modelling, integration and testing of autonomous control systems for both crewed and uncrewed aircraft. Salary: £47,250-£52,500 + benefits Location: Farnborough - Initially 5 days onsite. Longer-term hybrid may be possible (typically 3+ days onsite) once established. Duration : perm, full time Requirements: sole UK nationals or dual nationals living and working in the UK for the past 5 years What They're Looking For The hiring managers stressed that software capability is more important than an aerospace background. Ideal candidates will have around 4 7 years' commercial experience and be comfortable taking ownership of technical work packages while mentoring or directing more junior engineers. They are not looking for someone who simply writes code they want engineers who can solve engineering problems through software. Ideal Backgrounds Suitable candidates could currently be working as: Software Development Engineer Software Engineer Software Developer Autonomy Engineer Autonomous Systems Engineer Control Systems Engineer Robotics Engineer Algorithm Engineer Simulation Engineer Systems Engineer Research Engineer Guidance, Navigation & Control Engineer AI / Machine Learning Engineer (Autonomy focused) Industries could include: Defence Aerospace Aviation Robotics Autonomous Vehicles UAV / Drone Technology Research & Development Control Systems Advanced Engineering They are also very interested in engineers coming from Physics or Mathematics backgrounds who have developed strong software engineering skills. Essential Technical Skills The strongest candidates will have experience with: Programming C C++ MATLAB Python Engineering Autonomous systems Control systems Systems Engineering Algorithm development Modelling & Simulation Software development for complex engineering systems Experience with any of the following is highly desirable: UAVs UAS Drone technologies Decision support systems Military aviation Flight control Guidance, Navigation & Control (GNC) Personality Fit The hiring managers highlighted they want someone who: Enjoys solving difficult engineering problems Has genuine enthusiasm for autonomous systems Can take ownership of technical work Works well within multidisciplinary teams Can provide technical direction to others Wants to work on leading-edge defence technology They used the word "passionate" about autonomy even though they admitted it's an overused term! They want someone who genuinely enjoys this area of engineering. Qualifications Ideally: Aerospace Engineering Mechanical Engineering Electronic Engineering Physics Applied Mathematics Computer Science (with strong engineering exposure) A PhD would be attractive if it is directly relevant to autonomy or autonomous air systems , although they still want some commercial experience rather than someone coming straight from academia.

Junior Software Developer Central London, Old Street Hybrid, 1 to 2 days per week in the office initially Up to £55,000 I am working with an innovative technology company that uses AI, machine learning and modern software engineering to build products that solve real-world transport challenges. They are looking for a Junior Software Developer with around 1 to 2 years of commercial experience to join their growing engineering team. This is an excellent opportunity for someone who enjoys backend development and wants to gain broader commercial experience across Python, Node.js, databases, cloud technologies and production machine learning systems. Rather than being restricted to one area, you will contribute across the full software development lifecycle, giving you the opportunity to broaden your technical skills and accelerate your career. What You Will Be Doing Developing backend services and APIs using Python and Node.js Working with PostgreSQL, SQL and MongoDB Contributing to React-based frontend applications Supporting the training and deployment of commercial machine learning models Working with object detection and computer vision functionality Deploying and maintaining applications using AWS Collaborating with an experienced engineering team to build clean, scalable and maintainable software What They Are Looking For You will ideally have: Around 1 to 2 years of commercial software development experience Commercial experience with Python and/or Node.js Experience working with SQL or NoSQL databases, including PostgreSQL, SQL or MongoDB Practical commercial exposure to machine learning projects Experience contributing to the deployment of an ML solution as part of a team Experience with React, AWS, Django, Flask, FastAPI, REST APIs, Git or CI/CD would also be beneficial. You do not need to be a machine learning specialist. However, you should have practical industry experience working with and deploying machine learning solutions as part of a commercial team, rather than exposure limited to coursework or personal projects. Why Join? Broad engineering role covering backend development, databases, cloud and machine learning Hands-on exposure to commercial AI and computer vision technology Opportunity to work on real products that solve practical transport challenges Modern technology stack Visible contribution within a growing engineering team Genuine scope to learn, take ownership and progress Flexible hybrid working Salary of up to £55,000 The company is based in Central London, close to Old Street. New starters are encouraged to spend 1 to 2 days per week in the office initially to get to know the team and wider business. The interview process includes an initial screening interview, a take-home technical task, a technical interview and a final management discussion.

Machine Learning Engineer - Spiking Neural Networks Salary: 75,000 to 100,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time MFK Recruitment is seeking a specialist Machine Learning Engineer to help develop an engineering-grade Spiking Neural Network engine for practical machine vision applications. Our client develops advanced AI and Machine Learning technology for defence, security and other demanding operational environments. Its work combines computer vision, perception and neuroscience-inspired technology to produce accurate and robust AI systems. MFK Recruitment has successfully recruited four Engineers to this company over the past five years, and all four are still with the business. Machine Learning Engineer role You will combine current knowledge of Spiking Neural Networks with strong C++ software development skills to transform advanced research into a practical and usable product. This is a rare opportunity to apply genuine SNN experience to production software with direct operational applications. You will work alongside Researchers, Data Scientists and Engineers on SNNs, machine vision, synthetic training data and related CNN or Transformer-based projects. The position is predominantly office and customer-site based in West London, although some remote working will be available. Machine Learning Engineer responsibilities Apply your knowledge of SNNs to the development of a novel machine vision engine. Develop high-quality C++ software based on research outputs and product requirements. Use machine vision and image-analysis techniques to solve complex engineering challenges. Contribute to projects using CNNs and Transformer networks. Integrate recent Machine Learning algorithms into production software. Support synthetic training-image generation and the curation of real-world ISR imagery. Work closely with Researchers to understand and implement technical solutions. Contribute to system design, version control, testing and CI/CD pipelines. Support colleagues and customers during technical discussions and project delivery. Essential experience Current hands-on experience developing Spiking Neural Networks. Strong C++ programming and software engineering skills. Knowledge of machine vision, image analysis or computer vision. The ability to understand research outputs and transform them into reliable software. Experience developing maintainable code using version control, testing and CI/CD. Strong analytical, problem-solving and communication skills. Desirable experience CUDA and GPU programming. Python and PyTorch. CNNs, Transformers or broader deep learning architectures. Synthetic training imagery and simulation environments. ISR imagery or defence-related machine vision. Commercial software development alongside academic or research experience. An MSc, PhD or postdoctoral background involving SNNs, Computer Vision, AI or Machine Learning. Security clearance Candidates must be eligible to obtain UK BPSS and Security Check clearance. Existing security clearance would be highly advantageous. Applicants for SC clearance are normally expected to have lived in the UK for the previous five years. Applicants with a shorter UK residency history may still be considered, subject to the sponsoring authority being able to complete the required checks.

Senior Computer Vision Engineer - Deep Learning Salary: 70,000 to 95,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time. Contract opportunities may also be considered. MFK Recruitment is recruiting a Senior Computer Vision Engineer for an innovative UK technology company working at the forefront of computer vision, perception and autonomy. The company develops advanced Artificial Intelligence and Machine Learning technology for defence, security and other demanding real-world environments. Its work combines machine vision, deep learning and neuroscience-inspired approaches to create AI systems that are accurate, robust and reliable. MFK Recruitment has successfully recruited four Engineers to this company over the past five years, and all four are still with the business. This speaks volumes about the culture, technical challenges and long-term opportunities available. Senior Computer Vision Engineer role You will design, develop and deploy production-grade computer vision systems using modern deep learning techniques, with a particular focus on Convolutional Neural Networks and Vision Transformers. This is a hands-on engineering role for someone comfortable working across research, software development and real-world deployment. You will help translate recent AI research into reliable products used within demanding defence and security environments. The position is predominantly office and customer-site based in West London, although some remote working will be available. Senior Computer Vision Engineer responsibilities Design, develop and optimise computer vision models using CNNs, Vision Transformers and related deep learning architectures. Develop customised neural networks, training strategies, loss functions and evaluation metrics. Implement and adapt techniques from recent AI and computer vision research. Build scalable training, validation, evaluation and inference pipelines. Optimise models for accuracy, robustness, latency and deployment across cloud and edge platforms. Translate research outputs into maintainable, production-quality software. Collaborate with Software Engineers, Researchers, Technical Leaders and customers. Contribute to architecture decisions, testing and CI/CD practices. Support the deployment of computer vision systems into customer environments. Essential experience Strong commercial experience developing deep learning solutions for computer vision. Excellent Python development skills. Commercial experience using PyTorch. TensorFlow experience will also be considered. Strong knowledge of CNNs and modern computer vision techniques. Experience designing, modifying or adapting neural network architectures. Experience with model training, validation, hyperparameter optimisation and performance evaluation. Experience implementing techniques from recent AI or computer vision research. Experience delivering reliable AI systems into production. Strong software engineering practices, including Git, testing, code reviews and CI/CD. Excellent analytical, problem-solving and communication skills. Desirable experience Vision Transformer architectures. Object detection, tracking, segmentation or pose estimation. Multi-object localisation or multi-modal perception systems. GPU optimisation, CUDA, inference acceleration or edge AI. Real-time computer vision systems. Docker, Kubernetes, Kubeflow or MLOps pipelines. Aerial, satellite or ISR imagery. Synthetic data generation, Unreal Engine or NVIDIA Omniverse. Distributed training and large-scale model optimisation. Defence, government or national security projects. An MSc or PhD in Computer Vision, Artificial Intelligence, Machine Learning, Robotics or a related subject. Security clearance Candidates must be eligible to obtain UK BPSS and Security Check clearance. Existing clearance is advantageous but is not required for every appointment. Applicants for SC clearance are normally expected to have lived in the UK for the previous five years. A shorter period of UK residency or time spent overseas will not necessarily prevent clearance, but eligibility will be assessed individually by the sponsoring authority.

Senior AI Engineer Location: Remote (UK) or Hybrid - London (2 days per week in the office if London-based) Salary: 65,000 - 80,000 + Excellent Benefits Job Type: Permanent Please note: Applicants must have the right to work in the UK. Unfortunately, visa sponsorship is not available for this position. The Opportunity We're looking for a Senior AI Engineer to join a growing AI and Data Engineering function responsible for designing, building and scaling enterprise-grade AI platforms. This is an exciting opportunity to work on cutting-edge Artificial Intelligence, Machine Learning and Large Language Model (LLM) initiatives, helping to transform innovative AI research into secure, scalable production systems. The role is open to candidates across the UK , with fully remote working available . For those based near London, there is the option to work hybrid (2 days per week in the office) . You'll work alongside Data Scientists, Software Engineers and Product teams, taking ownership of complex AI services, data pipelines and cloud-native architectures that power intelligent products used at scale. The Role As a Senior AI Engineer, you'll play a key role in designing, architecting and delivering AI infrastructure with a high degree of autonomy. You'll help bridge the gap between research and production by developing scalable services, engineering robust data pipelines and implementing best practices across modern AI engineering. You'll also provide technical leadership within your squad, mentoring engineers and influencing engineering standards across the wider technology organisation. Key Responsibilities Design, build and maintain scalable AI data pipelines and processing workflows. Architect cloud-native backend systems and distributed AI services. Collaborate closely with Data Scientists to productionise Machine Learning and NLP models. Develop high-performance RESTful APIs and microservices for AI model serving. Drive system reliability, monitoring, observability and performance optimisation. Champion engineering best practices including CI/CD, automated testing and Infrastructure as Code. Improve integration, interoperability and data exchange across enterprise platforms. Translate complex technical requirements into scalable engineering solutions. Mentor junior engineers and provide technical leadership across projects. Contribute to architecture decisions, engineering standards and long-term technology strategy. About You You'll be an experienced Software, Data or AI Engineer with a passion for building scalable AI solutions and solving complex engineering challenges. You'll ideally have: A degree in Computer Science, Software Engineering, Artificial Intelligence or a related discipline. 5+ years' commercial experience in AI Engineering, Machine Learning Engineering, Backend Engineering or Data Engineering. Expert-level Python development experience. Experience productionising Machine Learning, NLP or Generative AI models. Strong experience designing and building RESTful APIs and microservices using frameworks such as FastAPI , Flask or Django . Strong SQL skills with experience designing performant relational database solutions. Commercial experience with AWS and/or Azure cloud platforms. Experience designing distributed systems and scalable architectures. Experience with Docker , Kubernetes and containerised deployments. Strong understanding of CI/CD pipelines, automated testing and engineering best practices. Excellent communication skills with experience mentoring engineers and collaborating across cross-functional teams. Desirable Experience Experience with any of the following would be highly advantageous: Large Language Models (LLMs) Amazon Bedrock Azure AI Foundry PyTorch FastAPI Knowledge Graphs Kubernetes Docker Infrastructure as Code MLOps Event-Driven Architecture Vector Databases Retrieval-Augmented Generation (RAG) Technology Stack Python SQL FastAPI PyTorch Docker Kubernetes AWS Azure Git CI/CD Knowledge Graphs AI / Large Language Models (LLMs) Amazon Bedrock Azure AI Foundry What's on Offer 65,000 - 75,000 salary Remote-first role with flexibility to work anywhere in the UK Optional hybrid working from the London office (2 days per week) Annual bonus Private healthcare Pension scheme 25+ days annual leave plus bank holidays Learning and development budget Career progression within a growing AI Engineering function Opportunity to work on enterprise-scale AI, Machine Learning and Generative AI initiatives using the latest technologies Collaborative engineering culture focused on innovation, knowledge sharing and continuous improvement Eligibility Applicants must have the right to work in the UK . Unfortunately, visa sponsorship is not available , so we are unable to consider candidates requiring current or future sponsorship. If you're passionate about building production-grade AI platforms and want to work on cutting-edge AI solutions with the flexibility of remote working, we'd love to hear from you.

Senior AI Developer Annual Salary: Competitive Location: Reading, Berkshire (with hybrid options) Job Type: Full-time A new permanent opportunity has become available for a Senior AI Developer to join a leading technology partner. This role is ideal for an experienced, hands-on full stack developer who is passionate about AI-powered software development. You will be instrumental in designing and delivering production-grade solutions that integrate large language models, agentic systems, and Azure AI services into real-world applications. Day-to-day of the role: Lead the design, development, and deployment of AI-integrated solutions for client engagements using modern full-stack technologies. Integrate Azure AI services into production applications and architect LLM-powered features and agentic workflows. Work directly with clients to understand requirements, shape solutions, and translate them into working software. Provide technical leadership across engagements, ensuring high standards of code quality and engineering rigour. Contribute to technical research, prototyping, and proof-of-concept development to support client proposals and win new work. Define and prove a mature, repeatable pattern for delivering AI solutions that can be scaled across the team. Establish reusable tools, accelerators, and components to enhance the speed and quality of AI delivery. Explore and evaluate emerging AI technologies and development approaches, integrating the best into practice. Mentor and upskill other developers, building AI delivery capability as the model transitions into the Delivery team. Required Skills & Qualifications: Extensive full-stack development experience in React/Node.js, .NET/C#, Python/Fast API. Proven track record of delivering production software on client-facing projects, ideally within a consultancy or professional services environment. Experience with prompt engineering, RAG architectures, or agentic AI development at scale. Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, and Cursor. Strong experience with Azure cloud services and CI/CD pipelines (Azure DevOps). Demonstrable experience integrating LLMs and building AI-powered features in real-world applications. Excellent communication and stakeholder management skills, able to explain technical concepts to non-technical audiences. Comfortable working autonomously and shaping ambiguity into repeatable, scalable delivery. Benefits: Industry-leading training and development opportunities. 23-days holiday allowance, increasing with length of service, plus bank holidays, an extra day off on your birthday, and the option to buy more. Company pension scheme. 2 paid leave days per year to volunteer and support your local community. Health cash plan with free access to a confidential Employee Assistance Programme (EAP). Life assurance. Cycle to work scheme, electric vehicle scheme, home and tech scheme, and retail discounts. Free on-site gym at our Manchester and Leeds locations. Long service recognition and social events such as Summer BBQ and Christmas party. To apply for the Senior AI Developer position, please submit your CV to be immediately considered.

We are working with a client who is a global leader in consulting, technology services, and digital transformation, committed to delivering positive change through technology and human collaboration. They are looking for a Splunk SIEM Engineer with active SC Clearance in place to design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. You will need to demonstrate your Multi-Platform SIEM Expertise: you need proven experience with Splunk Enterprise Security, Microsoft Sentinel, and SIEM architecture including data models, correlation rules, and administrative functions. Security Operations: Strong analytical skills in threat detection, incident response, and security event analysis with experience in large enterprise environments (10,000+ endpoints). Data Pipeline Management: Hands-on experience with log ingestion, data routing, and transformation using tools like Cribl, plus understanding of data normalisation and parsing in Splunk Enterprise. SOAR & Automation: Experience with Security Orchestration platforms, playbook development, and automated response workflows for incident management. Network Security Fundamentals: Working knowledge of network architectures, firewalls, proxies, and common attack vectors with troubleshooting expertise. Communication & Documentation: Excellent technical writing and communication skills to create runbooks, procedures, and translate complex security concepts for diverse audiences. In order to apply, you must have active SC Level Clearance in place. You must be able to evidence skills in Splunk Enterprise Admin and development. You will be proficient in Splunk Enterprise Security (SIEM) - administering, managing, and maintaining SIEM. Experienced in developing use cases/correlation searches. You will be proficient in data models. Have hands-on knowledge and understanding of Splunk Cloud. Hands-on experience of Microsoft Sentinel. Hands-on CI/CD tools like Gitlab, Jenkins etc. Proficiency in Cribl Stream is expected. Awareness/experience of the following is an advantage - Cloud Security & Modern Infrastructure: Proficiency with AWS/Azure cloud security, containerised environments, and SaaS-based security solutions. Programming & Scripting: Advanced skills in Python, PowerShell, KQL, SPL, and SQL for automation, custom integrations, and advanced analytics development. Security Certifications: Professional certifications such as CISSP, GCIH, GCFA, Splunk Certified Architect, or Microsoft Sentinel Ninja. Extended Security Stack: Experience with EDR, UBA, CASB, CSPM, vulnerability assessment tools, and threat intelligence platforms. Infrastructure as Code: Experience with Chef, Ansible, Jenkins, GitLab CI/CD for automated security tool deployment and configuration management. Compliance & Governance: Knowledge of regulatory frameworks (SOX, PCI-DSS, GDPR) and hands-on incident response/forensics experience. Please be clear that only candidates that meet the above criteria with the right to work and that are resident in the UK with active SC Level Clearance will be considered. No sponsorship is available. This role will involve hybrid working here in the UK at a site based in Cheshire - expected on site 3 days per week and 2 from home. More flexibility may be offered once in situ in the contract. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

Senior AWS Cloud Engineer Contract: 3 Month Rolling Contract Rate: 500 per day (Umbrella) Location: London - Hybrid (2 days onsite, 3 days remote) A leading London public sector organisation is seeking an experienced Senior AWS Cloud Engineer to join their growing Cloud & Infrastructure team. This is an opportunity to play a key role in the delivery of a large-scale cloud transformation programme, helping modernise critical services that support hundreds of thousands of users. You'll work within a multidisciplinary technology team responsible for designing, building and supporting secure, scalable cloud infrastructure while driving automation, resilience and continuous improvement across the estate. The Role As the Senior AWS Cloud Engineer, you'll provide technical leadership across cloud infrastructure, DevOps and platform engineering. You'll be responsible for designing and maintaining highly available AWS environments, supporting business-critical applications and implementing Infrastructure as Code and automation best practices. Working closely with architects, software engineers, security specialists and service teams, you'll help shape cloud standards and ensure platforms remain secure, performant and cost-effective. Key Responsibilities Design, build and optimise secure AWS cloud infrastructure. Deliver Infrastructure as Code using Terraform and other automation tools. Maintain highly available cloud platforms supporting critical business services. Improve platform reliability, monitoring, alerting and operational resilience. Support cloud migration and modernisation initiatives. Manage Windows and Linux server environments hosted within AWS. Implement CI/CD pipelines and automation across infrastructure deployments. Work closely with development teams to enable self-service infrastructure. Champion cloud security, governance and best practice. Support networking, identity management and hybrid cloud connectivity. Lead technical investigations, problem management and root cause analysis. Contribute to architecture decisions, technical standards and continuous improvement. Mentor engineers and provide technical guidance across the wider team. Participate in an on-call rota where required. Essential Skills & Experience Strong commercial experience designing and supporting AWS cloud environments. Excellent knowledge of core AWS services including EC2, VPC, IAM, Route 53, S3, CloudWatch, RDS and networking. Proven experience with Terraform and Infrastructure as Code. Strong scripting skills (PowerShell, Bash and/or Python). Experience building and maintaining CI/CD pipelines. Knowledge of container technologies such as Docker and Kubernetes/EKS. Experience managing Windows Server and Linux environments. Good understanding of cloud security, identity management and compliance. Experience with monitoring, logging and observability platforms. Strong troubleshooting and performance optimisation skills. Comfortable working within Agile, DevOps and multidisciplinary delivery teams. Desirable AWS Certified Solutions Architect or equivalent AWS certification. Experience working within complex enterprise or public sector environments. Knowledge of Microsoft 365, Azure AD/Entra ID and hybrid identity. Experience supporting digital transformation or cloud migration programmes. Familiarity with ITIL service management practices. What's on Offer 500 per day (Umbrella) Initial 3-month contract with strong likelihood of extension Hybrid working - 2 days onsite in London, 3 days remote Opportunity to contribute to a major cloud transformation programme Eden Brown is acting as an Employment Business in relation to this vacancy.

Job Title: Lead / Hands-On Blockchain Architect Location: UK / Fully Remote (Occasional pre-agreed travel) Duration: 8 Months Rate: Negotiable About the Role We are seeking a highly skilled, hands-on Blockchain Architect to lead the end-to-end design, development, and delivery of enterprise-grade distributed ledger solutions. This role combines technical leadership with active coding, taking solutions from initial Proof of Concept (PoC) straight through to production. You will collaborate closely with cross-functional data, cloud, and DevOps teams to deliver secure, scalable, and highly compliant systems. Key Responsibilities Architectural Leadership: Lead end-to-end design of blockchain solutions, including consensus models, data structures, cryptographic frameworks, and node architectures. Platform Evaluation: Select and implement optimal blockchain platforms (e.g., Ethereum, Hyperledger Fabric, Corda, Polygon, Avalanche) based on enterprise needs. Hands-on Engineering: Actively contribute to the development of smart contracts and core components. Integration & Scaling: Define API layers, node data flows, and enterprise integration patterns for legacy systems. Security & Governance: Implement strict security best practices (key management, node communication) and define data privacy and access models (GDPR, KYC/AML compliance). Skills & Experience Required Overall Experience: 8+ years of experience within software engineering and enterprise architecture. Blockchain Expertise: 3+ years of dedicated, hands-on experience designing and delivering distributed ledger systems. Platforms & Smart Contracts: Deep technical proficiency with Ethereum, Hyperledger, or Corda , alongside smart contract development languages ( Solidity, Chaincode, DAML, or Rust ). Core Development: Strong background in languages like Java, Python, Go, or Rust . Cloud & DevOps: Solid understanding of modern cloud platforms ( AWS, Azure, or GCP ) and automated CI/CD deployment pipelines. Industry Frameworks: Prior experience working within heavily regulated environments (FinTech, Banking, or Enterprise) with an understanding of cryptography and data sovereignty. How to Apply If you are a hands-on architect looking to deliver a high-impact project within the digital asset/blockchain space, please submit your updated CV and availability to schedule a call. Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Software Engineer Embedded & Systems London (Hybrid) Circa 100,000 We are supporting an innovative technology company developing next-generation networking solutions that integrate hardware and photonics for high-performance computing systems. They are seeking Software Engineers to design and develop embedded software and software for high-speed network platforms. The role involves contributing to systems that connect GPU-based infrastructure with interconnect technologies. Key Responsibilities: Define software architecture in collaboration with cross-functional engineering teams and develop embedded software for network interface hardware. Enhance and maintain DevOps infrastructure and workflows. Design and implement Linux PCIe drivers. Build network control and monitoring systems, including both server and client components. Work closely with prototype hardware to debug, diagnose, and resolve system-level issues. Required Experience & Skills: Practical experience in embedded software development and embedded platforms such as ARM. Familiarity with soft-core processors such as Nios, Micro Blaze, or RISC-V. Strong experience in Linux kernel and user-space development. Proficiency in C, C++, and Python. Experience collaborating closely with hardware engineering teams, particularly when working with early-stage or prototype systems. Degree in Computer Science, Engineering, or a related discipline, or equivalent industry experience. Benefits: Salary circa 100,000 depending on experience. Equity or stock-based incentives. 25 days holiday plus bank holidays. Hybrid working model. Private healthcare and life assurance. Relocation support available.

Senior Firmware Engineer My client is a global engineering company developing precision power conversion and embedded control solutions for mission-critical applications. They are looking for a Senior Firmware Engineer to join their team who will design and develop embedded firmware for high-performance electronic systems, supporting new and existing products throughout the development lifecycle. Key Responsibilities Develop embedded firmware in C/C++ for microcontrollers, SoCs, and FPGA-based systems. Design, implement, test, and maintain real-time embedded software. Collaborate with hardware engineers on hardware/software integration. Perform code reviews and improve software quality and maintainability. Support technical design, validation, and project delivery. Skills & Experience 5+ years' embedded firmware development experience. Strong C/C++ programming skills and RTOS experience. Background in power electronics, power conversion, or digital control systems. Experience with FPGA, DSP, Python/MATLAB, or industrial communications is beneficial. If this sounds like you, then please apply below!

We are looking for a C++ Software Engineer to work on defence projects. Key Responsibilities Develop and maintain C++ and Python software for complex systems Work on real-time data processing, simulation, or sensor integration Support verification, validation, and testing activities Build and maintain CI/CD pipelines (Linux and Windows) Collaborate in Agile teams (Scrum and Kanban) Key Skills Strong C++ experience (Python beneficial) Background in defence, aerospace, robotics, or simulation Experience with Linux, Git, and CI/CD tools Understanding of systems integration, testing, or comms protocols Ability to work with hardware or real-world data systems Experience with LiDAR or robotics systems Knowledge of Azure DevOps, SVN, or PLCs

Job Advertisement: Software Developer / Senior Data Engineer Location: London Contract Length: 12 Months Daily Rate: 700 (Umbrella) Are you ready to be part of a transformative journey? Our client is embarking on a major enterprise-wide data platform transformation, and they need a talented Software Developer / Senior Data Engineer to join their dynamic team! About the Role: You will play a pivotal role in designing and building a state-of-the-art data platform that consolidates data from various business areas into a centralised environment for reporting, analytics, and business consumption. This is your opportunity to contribute significantly as the project progresses towards crucial go-live milestones between March and June 2027! Key Responsibilities: Design & Build: Create and maintain scalable data pipelines using Python and SQL. Optimise Solutions: Develop, optimise, and support enterprise data platform solutions. Data Integration: Build and manage data ingestion, transformation, and integration processes. Infrastructure Management: Create and maintain data models, tables, and supporting infrastructure within Databricks and associated data lake/lakehouse environments. Business Logic Development: Implement business logic, calculations, and data processing solutions using Python. Collaboration: Work closely with business stakeholders and engineering teams to deliver high-quality data assets. Quality Assurance: Ensure data quality, performance, scalability, and governance standards are met. Documentation: Produce technical documentation, architecture artefacts, and data flow specifications. Performance Improvement: Identify and resolve performance bottlenecks across pipelines and processing workflows. Required Skills & Experience: Essential: Strong commercial experience in Python development. Proficient in SQL, including query optimisation and data modelling. Hands-on experience with Databricks. Proven track record in designing and building enterprise data platforms. Experience in developing ETL/ELT pipelines and data integration solutions. Strong understanding of data lakes and lakehouse architectures. Experience working with large-scale datasets and modern data engineering practises. Ability to design and deliver end-to-end data solutions. Strong analytical and problem-solving skills. Excellent stakeholder management and communication skills. Highly Desirable: Experience with Spark / PySpark. Familiarity with Azure Data Lake, Snowflake, or similar platforms. Knowledge of orchestration tools like Airflow or Azure Data Factory. Exposure to financial services environments. Experience supporting large-scale data transformation or migration programmes. What We're Looking For: A senior-level contractor who can hit the ground running. Someone comfortable working autonomously with minimal oversight. Proven experience in delivering long-term contract engagements (12 months or longer). Strong interpersonal skills with a team-oriented approach. Immediate availability or able to start quickly. Key Deliverables: Delivery of scalable, reliable, and performant data pipelines. Development of robust data models and platform structures. Successful implementation of data engineering solutions that support the enterprise data platform. High-quality data assets for reporting, analytics, and business consumption. Contribution to platform go-live milestones between March and June 2027. Join our client and be part of something big! If you are ready to take on a challenging and rewarding role, we want to hear from you! Apply now and help shape the future of data!

Software Engineering Contractor (Outside IR35) Location North of England (Office near Leeds with a mix of on-site and remote working) Occasional travel within Europe may be required. Contract Outside IR35 Long-term opportunity with the potential for a relationship lasting 5+ years Initial engagement on a competitive day rate while both parties become familiar with the project with future work delivered through fixed-price work packages with agreed delivery timescales The Opportunity We're looking for an experienced Software Engineering Contractor to support the development of advanced software for mobile defence platforms. This is a varied role covering embedded systems, user interfaces, networking, automation and software assurance, working on projects that combine hardware and software in demanding operational environments. You'll have the opportunity to contribute throughout the full software lifecycle, from design and development through to testing, compliance and customer demonstrations. What You'll Be Doing Developing software for embedded systems Designing and maintaining Windows, Linux and web-based applications Developing user interfaces and real-time control software Producing clear software documentation Manual testing, debugging and software defect resolution Contributing to standards compliance analysis and compliance process development Attending customer meetings and demonstrating software solutions Working independently while collaborating with multidisciplinary engineering teams What We're Looking For Essential 7+ years' experience in embedded software engineering Degree in Computer Science, Software Engineering or equivalent industry experience Strong programming experience in C, C++ or C# Experience with embedded Linux and Windows application development Experience using the Qt framework Good knowledge of Java and Python Familiarity with web technologies such as Angular, PHP or similar frameworks Experience working with Git or other version control systems Good understanding of TCP/IP and UDP networking Experience developing protocol converters or gateway applications Knowledge of vehicle communication protocols including CAN, RS232, RS422, RS485 and USB Experience with embedded communication protocols such as SPI, I C and UART Ability to interpret electronic schematics and understand hardware interfaces Comfortable learning new technologies and programming languages Desirable Experience with assembler programming Experience defining video pipelines, and handling video compression and decompression Knowledge of functional safety software development, including ISO 26262 or EN 13849 Security Requirements Due to the nature of the work, applicants must: Be a British citizen Be eligible to obtain UK Security Check (SC) clearance Working Style We're looking for someone who is proactive, self-motivated and comfortable taking ownership of technical challenges with minimal supervision. You should also be confident using modern AI-assisted development tools to improve productivity while maintaining a strong understanding of the code you produce rather than relying on AI-generated solutions.