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Systems Research Engineer - Distributed Systems / C++ We are currently partnered with a globally leading research centre in the UK looking to expand their team with a Systems Research Engineer. This is an incredibly high calibre team reshaping how large-scale models are trained and served through next-generation AI-native infrastructure and "super-node" clusters. This is a permanent opportunity based onsite in Edinburgh. Key responsibilities for this Systems Research Engineer position: • Architect and implement distributed system components for AI workloads across CPU, GPU, and NPU clusters., • Conduct in-depth profiling and performance tuning of inference pipelines, focusing on KV cache management., • Develop low-latency, fault-tolerant AI serving frameworks using vLLM, Ray Serve, and PyTorch Distributed., • Research and prototype novel techniques for cache sharing, data locality, and resource orchestration., • Translate innovative designs into publishable contributions at top-tier venues (e.g., OSDI, NSDI, MLSys)., • Collaborate with global research teams to drive the internal adoption of novel system architectures. Key Requirements: • Preferably a PhD, at minimum a masters degree, in Computer Science, distributed systems, or related field., • Strong knowledge of Distributed Systems, OS internals, and Machine Learning systems architecture., • Hands-on experience with LLM serving frameworks (vLLM, Ray Serve, TensorRT-LLM, or TGI)., • Proficiency in C/C++ for systems development and Python for research prototyping., • Solid grounding in distributed algorithms, load balancing, and state management., • Proven ability to conduct systems research, ideally evidenced by publications in top-tier conferences. Keywords: Systems Research Engineer / Distributed Systems / AI Infrastructure / LLM Serving / vLLM / KV Cache / Performance Optimization / Machine Learning Systems / C++ / Python / Ray Serve / PyTorch Distributed / Cloud Infrastructure If you are interested in this Systems Research Engineer position, please send a copy of your CV to By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice

Systems Research Engineer | C++ Systems Engineering One of the largest telecommunications companies in the world is looking for an experienced researcher to join the company in Edinburgh. The Vision 🚀 We are currently scaling a world-class research team in Edinburgh to redefine the foundational software stack for the LLM era. As AI transitions from experimental to "agentic" and "AI-native" infrastructure, we are building the super-node clusters and distributed architectures that will power the next generation of global data centres. This is a unique hybrid role positioned at the intersection of academic-grade systems research and industrial-scale engineering. You won’t just be writing papers; you’ll be prototyping and deploying the frameworks that manage GPU/NPU clusters at a massive scale. The Technical Challenge 🛠️ As a Systems Research Engineer, you will tackle the "bottleneck" problems of modern AI: • Distributed Systems R&D: Architecting components for CPU, GPU, and NPU clusters with a focus on modularity and extreme scalability., • Performance Engineering: In-depth profiling of large-scale inference pipelines, specifically focusing on KV cache management and heterogeneous memory scheduling., • AI Serving: Optimising high-throughput frameworks (vLLM, Ray Serve, PyTorch Distributed) to ensure low-latency, multi-tenant performance., • Research Leadership: Contributing to top-tier venues (OSDI, NSDI, EuroSys, MLSys) and driving those innovations into real-world production. Who You Are 🧬 We are looking for "systems-first" thinkers—engineers who understand what happens under the hood of a cluster. Required Experience: • Education: A Bachelor’s or Master’s in CS, EE, or a related field (PhD highly preferred)., • The Stack: Strong proficiency in C/C++ for systems work, with Python for rapid prototyping., • Expertise: Hands-on experience with LLM serving frameworks (vLLM, Ray Serve, TensorRT-LLM) and distributed algorithms., • Mindset: A solid grounding in systems research methodology and performance profiling tools. The "Value Add" (Desired): • A PhD focused on distributed computing or AI infrastructure., • A track record of publications at major conferences (NeurIPS, ICML, ICLR, etc.)., • Deep knowledge of load balancing, fault tolerance, and resource orchestration in massive AI clusters. Why Join This Team? 🌍 • Impact: Work on one of the largest R&D footprints globally., • Collaboration: Partner with senior architects and global research teams to solve problems that don't have "off-the-shelf" solutions yet., • Location: Based in the heart of Edinburgh’s thriving tech ecosystem. Interested? Apply directly through LinkedIn, or send your CV to By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ()

Location: Edinburgh (Hybrid) Reports to: Senior Engineering Manager Type: Full-time, Permanent About Legado Legado is a high-growth B2B SaaS company transforming how regulated financial services organisations communicate with their customers. Our platform, CommsHub, Digital Vault, and LegadoSign, powers secure, compliant, auditable digital engagement at scale. We sit at the intersection of technology, regulation and customer experience, helping institutions move away from fragmented email, paper and legacy portals towards a modern, secure engagement layer. Backed by FNZ and Souter Investments, and trusted by leading financial institutions, we are building the infrastructure for compliant digital communication in regulated markets. This is not brochureware SaaS. This is secure messaging, durable medium delivery, evidencing, signing workflows and document control inside complex, high-stakes environments. The Opportunity We are hiring a Full Stack Developer to work across our entire product suite: • CommsHub: secure digital communications & engagement, • Digital Vault: structured document storage & role-based access, • LegadoSign: compliant e-signing & workflow orchestration You will build scalable, secure systems used by regulated financial institutions, where reliability, auditability and performance genuinely matter. You will also work with the latest development tooling, including AI-assisted workflows (Claude, Cursor, GitHub Copilot and similar tools) to enhance productivity and code quality. We actively encourage modern engineering practices and intelligent automation. What You’ll Be Doing • Designing and building high-quality full stack features across React and .NET, • Delivering secure, scalable APIs and web applications within Azure, • Working in two-week sprints within Azure DevOps, • Contributing to architectural decisions and technical strategy, • Writing robust unit and integration tests, • Advocating for quality, maintainability and low technical debt, • Collaborating closely with Product, Design and Engineering peers, • Supporting production systems and improving operational resilience, • Continuously improving engineering standards and ways of working You’ll be trusted with ownership, not ticket-taking. Tech Stack Back-End • .NET / .NET Core, • C#, • ASP.NET, • REST APIs, • SQL (Azure SQL), • Azure hosting & services Front-End • React, • TypeScript / JavaScript, • HTML5 / CSS3 Infrastructure & DevOps • Azure DevOps Pipelines, • CI/CD, • Secure cloud environments Modern Tooling • AI-assisted development (Claude, GitHub Copilot etc.), • Automated testing frameworks, • Message queues / event-driven systems (desirable) What We’re Looking For Essential Technical • 4+ years’ experience developing production full-stack applications, • Strong .NET / C# backend capability, • Solid experience with React and modern front-end practices, • Experience building secure, scalable APIs, • Familiarity with Azure environments and CI/CD pipelines, • Strong understanding of software design principles and clean architecture, • Commitment to writing tested, maintainable code, • Experience working in Agile teams Collaboration & Communication • Strong communicator who works well in cross-functional teams, • Comfortable giving and receiving code reviews, • Able to discuss trade-offs clearly and pragmatically, • Collaborative mindset — we build together Quality & Ownership • High standards around reliability and correctness, • Attention to detail in regulated environments, • Proactive problem solver, • Takes responsibility for outcomes, not just tasks Nice to Have • Experience in financial services, fintech or regulated industries, • Experience with Azure serverless technologies, • Exposure to secure messaging or document management systems, • Microsoft certifications Why Join Legado? Real Impact You will help build the secure digital infrastructure that underpins regulated communication: replacing paper, insecure email and fragmented workflows. Engineering Autonomy We value thoughtful engineering. You will influence architecture and technical direction. Modern Tooling We embrace AI-assisted development and modern productivity tooling. We expect engineers to experiment, optimise and evolve. Growth High-growth scale-up environment with real product ownership and visibility. Benefits • Competitive salary, • 32 days annual leave (including public holidays) plus paid days off under company policies, including for your birthday, • Hybrid working (3 days in central Edinburgh office during probation, then 2 days), • A chance to participate in Legado’s EMI option scheme, • Support for training and certifications, • Collaborative, ambitious team culture Inclusivity This description outlines the qualities we believe will help someone succeed in the role. It is not a rigid checklist. If you meet most of the criteria and are excited about contributing to a fast-moving engineering team building secure, regulated infrastructure, we encourage you to apply. Application Apply via LinkedIn with your CV. If you’d like, include a brief example of a feature or system you built that demonstrates technical ownership and quality thinking.

AI Systems Research Engineer Permanent Edinburgh (On-site 5 days work ) salary : Competitive and negotiable In an era where Large Language Models (LLMs) are rebuilding the foundational software stack, our client is at the forefront of reshaping how large-scale models are trained, served, and deployed. Operating at the intersection of advanced systems research and industrial-scale engineering, their Edinburgh-based team is driving new AI Infrastructure & Agentic Serving architectures. This role is a unique opportunity to help define next-generation large-scale data centres and AI infrastructure systems, turning innovative system designs into deployable, real-world technologies. We are seeking Systems Research Engineers with a deep passion for computer systems, distributed AI infrastructure, and performance optimization. These roles are ideal for recent PhD graduates or exceptional BSc/MSc engineers looking to build research-driven experience in Operating Systems, Distributed Systems, AI Model Serving, Machine learning infrastructure. You will work closely with architects to prototype and optimize the next generation of global AI clusters. What you will be doing • Distributed Systems Research & Development : Architect, implement, and evaluate distributed system components for emerging AI and data-centric workloads. Drive modular design and scalability across GPU, and NPU clusters, building highly efficient serving and scheduling systems., • Performance Optimization & Profiling : Conduct in-depth profiling and performance tuning of large-scale inference and data pipelines, focusing on KV cache management, heterogeneous memory scheduling, and high-throughput inference serving using frameworks like vLLM, Ray Serve, and modern PyTorch Distributed systems., • Scalable Model Serving Infrastructure : Develop and evaluate frameworks that enable efficient multi-tenant, low-latency, and fault-tolerant AI serving across distributed environments. Research and prototype new techniques for cache sharing, data locality, and resource orchestration and scheduling within AI clusters., • Research & Publications : Translate innovative research ideas into publishable contributions at leading venues (e.g., OSDI, NSDI, EuroSys, SoCC, MLSys, NeurIPS, ICML, ICLR) while driving internal adoption of novel methods and architectures., • Cross-Team Collaboration : Communicate technical insights, research progress, and evaluation outcomes effectively to multidisciplinary stakeholders and global research teams What we are looking for • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field / PhD in systems, distributed computing, or large-scale AI infrastructure, • Strong knowledge of distributed systems, operating systems, machine learning systems architecture, Inference serving, and AI Infrastructure., • Hands-on experience with LLM Inference and LLM serving frameworks (e.g., vLLM, Ray Serve, TensorRT-LLM, TGI, PyTorch) and distributed KV cache optimization., • Familiarity with GPU and how they execute LLMs, • Solid grounding in systems research methodology, distributed algorithms, and profiling tools., • Proficiency in C/C++, with additional experience in Python for research prototyping., • Team-oriented mindset with effective technical communication skills If this sounds like a role you can take hold of, we would love to hear from you! To apply for this role, please send your CV to Maggie Kwong Great journeys start here, apply now!

DevOps Engineer This hybrid role is based in Edinburgh Why Bright Ascension? Join Bright Ascension and be part of a fast-growing, innovative company transforming how software is built for the space industry. Our technology is used by organisations around the world from universities and space agencies to pioneering start-ups and commercial space companies helping them design and operate space systems faster, more efficiently, and more reliably. Innovation drives everything we do, and our people are at the heart of that success. Through our employee ownership model, everyone has a voice and a genuine stake in the company’s future. With offices in Dundee, Edinburgh, and Bristol and a team of more than 50 talented professionals, we’re entering an exciting phase of growth and expansion. It’s a fantastic time to join us and help shape the future of space technology while building your career in one of the most exciting industries on Earth. We are looking for an experienced and motivated DevOps Engineer. This will be a key role in supporting the delivery of a diverse range of software products and bespoke software services including embedded firmware, developer kits, and scalable cloud-based web applications, as we approach our next exciting period of growth. As a key member of our team, you will design, maintain, and report on the effectiveness of automated build and release pipelines, deploy reliable and secure test environments, and boost developer productivity by creating reusable, well-documented pipeline configuration. We see this role as being full time. Ideally, we would like this role to be based in Edinburgh on a hybrid basis to allow for regular interaction with the wider business and colleagues in other departments. We are at a very exciting time in our ambitious growth plans and have fantastic opportunities for talented individuals to join our team over the next 12 months. What you will do As a member of the team your key responsibilities would be: • Build, test and deploy infrastructure and applications using CI/CD and Infrastructure-as-Code technologies, • Work closely with our engineering teams to understand their requirements and how they build, test and deploy their software to continuously improve quality and accelerate the pace of development, • Set up and maintain environments for both manual and automated testing, ensuring stability, observability and security best practices, including liaising with customers when deploying to customer infrastructure We see experience with the following as essential to the job: • Distributed version control systems (Git, Mercurial etc.), • Expertise with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Azure DevOps etc.), • Strong scripting ability (e.g. Python, Shell, PowerShell), • OCI container build, management and orchestration (Docker, Podman, Kubernetes, LXC etc.), • Artifact and dependency management and deployment, • Familiarity with networking fundamentals including DNS, IP, firewalls and basic network troubleshooting including VPN configuration Personal skills We're especially looking for someone who: • Enjoys problem solving in a range of programming languages and has an interest in learning new languages, frameworks and build systems, • Works well both independently and in a team as part of a fast-paced technical environment, • Possesses strong verbal and written communication skills, • Is consistently curious, interested in learning new skills and open to new ideas and ways of working Desirable skills and experience This is a wish list and we don’t expect candidates to have experience with everything listed here. We know that experience with specific systems, tools and languages is transferable. We are looking for someone with a broad range of experience who can analyse requirements, select the most suitable tool for the job, adapt to change and is self-motivated to direct their own learning and development. • Infrastructure-as-Code technologies such as Pulumi, Terraform or Cloud-Config, • Configuration management tools such as Chef, Puppet, Ansible or Salt, • Setup and configuration of artifact repositories and package management such as Artifactory, Nexus, Maven, Docker registries or PyPI repositories, • Building reporting dashboards for code quality, test coverage, pipeline performance and release metrics, • Automated testing frameworks including unit, integration and hardware-in-loop testing, • Monitoring and reporting tools, time-series databases and Grafana, • Linux server administration, • Experience with cloud deployment and containerisation technologies, • Secure pipeline design including secrets management, code signing, SBOM and supply-chain security What we can offer you • A highly competitive salary depending on experience with regular reviews, • A fantastic opportunity to join a growing, innovative, employee-centred business pushing boundaries in the space industry, • Flexible hours and hybrid working enabling you to create your ideal work life balance, • 36 days paid holiday per annum, • 6% employer pension contribution, • Enhanced Company Sick Pay and Long-Term Sickness cover, • Health Cash Plan covering dental, physio and optical costs, • Life Assurance cover (4x salary), • Employee ownership through our Employee Benefit Trust, • Enhanced maternity, paternity and adoption pay, • Opportunities for international travel for exhibitions and trade shows, • Investment in your professional development including attendance at relevant events and conferences, • Company events and regular activities for social engagement and team building, • An open, supportive and inclusive environment where you can explore ideas and make a real impact on the product and business Our values • A fantastic opportunity to join a growing, innovative, employee-centred business pushing boundaries in the space industry., • Flexible hours and hybrid working., • 36 days paid holiday per year., • 6% employer pension contribution., • Enhanced Company Sick Pay and Long-Term Sickness cover., • Health Cash Plan covering dental, physio, and optical costs., • Life Assurance cover (x4 salary)., • Employee ownership through our Employee Benefit Trust., • Enhanced maternity, paternity, and adoption pay., • Opportunities for international travel for exhibitions and trade shows., • Investment in skill development and access to relevant events and conferences., • Company events and activities for social engagement and team building. Our values underpin everything we do and guide how we work, collaborate, and grow: • Passion & Innovation – Enjoy what you do and have fun. Be curious and fearless. Unconventional ideas and passion drive true innovation., • Teamwork & Collaboration – Share knowledge, start a dialogue, and succeed together. Success comes through collaboration and support., • Security clearance eligibility may be required depending on project assignments, • An enthusiasm for the space sector and an interest in contributing to the next generation of satellite‑software technologies will be advantageous All applicants must be UK based and have the right to work in the UK. We are working with trusted recruitment partners. No agency enquiries please. Read more:

Senior Cloud Platform Architect - Contract - Outside IR/35 Role Overview We are looking for a Senior Cloud Platform Architect to help define and scale a cloud-native platform environment. The role sits at the architectural level, shaping how infrastructure and applications are designed, deployed, and operated across AWS. This is not an SAP/BTP-first role - candidates should come from a hyperscaler cloud background, with SAP exposure considered a bonus. Key Responsibilities • Define end-to-end cloud platform architecture on AWS, • Design and govern Infrastructure-as-Code approaches (Terraform, Helm), • Architect Kubernetes-based environments and container deployment strategies, • Embed Site Reliability Engineering (SRE) principles across the platform, • Define best practices for:, • Deployment workflows (e.g. blue/green deployments), • Monitoring, alerting, and reliability, • Scalable and resilient infrastructure, • Translate high-level business and technical requirements into architectural designs, • Work closely with platform engineering teams responsible for execution, • Proven experience as a Cloud / Platform Architect in AWS environments, • Strong understanding of:, • Infrastructure-as-Code (Terraform essential), • Kubernetes and container orchestration, • Helm and deployment tooling, • Experience with platform engineering and cloud-native architecture patterns, • Strong knowledge of Site Reliability Engineering (SRE) concepts, • Ability to design end-to-end architecture lifecycle:, • From initial request ? design ? deployment ? monitoring ? optimisation, • Exposure to SAP landscapes or SAP BTP, • Experience working in SaaS or product-led environments, • Understanding of 'opinionated platforms' (e.g. abstractions over hyperscalers like BTP) JBRP1_UKTJ

Profile 29 recruitment keywords: Site Reliability Engineer Site Reliability Engineering, DevOps Kubernetes container orchestration Red Hat OpenShift Terraform Amazon Web Services AWS CI/CD Bash Python monitoring observability cloud architecture London hybrid remote AI artificial intelligence securit

Twine seeks a talented Music Composer to join their remote project for scoring an original song inspired by musical theatre, klezmer, and jazz. The ideal candidate will have experience in composing for musical theatre and classical music, along with expertise in scoring complex music and utilizing p

Must be certified with ServiceNow Systems Administrator, ServiceNow Implementation Specialist and ITIL V3 foundation. Expertise ServiceNow deployments, ITSM migrations, consolidations, upgrades, integration with other third-party tools, Orchestration, operational activities, Project Management exper

Your New Company and Role A leading organisation is seeking a DevOps engineer to support its portfolio of services. This is an exciting opportunity to join a forward-thinking company that places a strong emphasis on system availability, stability, and innovation. As a hands-on DevOps Engineer, you'll be instrumental in managing and optimising cloud infrastructure in AWS. You'll work across multiple projects, collaborating with cross-functional teams to design, build, and maintain scalable, secure, and efficient systems. This role offers the chance to contribute to a dynamic environment where strategic thinking and technical excellence are highly valued. What You'll Need to Succeed To excel in this role, you'll bring a strong technical foundation and a collaborative mindset. Key requirements include: Proven experience with AWS and cloud-native technologies Proficiency in containerisation and orchestration (Kubernetes, EKS, Docker) Experience with Helm Charts, Linkerd, and serverless architectures Strong skills in Infrastructure as Code (Terraform, Ansible, CloudFormation) CI/CD pipeline development using Azure DevOps Scripting and automation with Bash, Python, Go, PowerShell Monitoring and logging tools such as Prometheus, Grafana Solid understanding of networking and security (VPC, Nginx, AWS WAF, etc.) Database experience with DynamoDB, Aurora, Redshift, SQL Comfortable with Linux/Unix OS administration What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. 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)

Orchestration Engineer + 6 month initial contract - extensions likely+ Hybrid - occasional travel to Corsham+ SC Cleared role+Inside IR35 Key Skills:+ Orchestration+ AWS - Platform X+ VMWare Description:Responsible for the design and implementation of networked computer systems; plans; installs and

This role involves overseeing DevOps automation and container orchestration for critical national infrastructure.

A leading automation company in the UK is seeking a Senior Product Marketing Manager to drive growth strategy and bridge the gap between market needs and platform capabilities.This remote position requires 5+ years of product marketing experience in a B2B SaaS environment.You will own the narrative

A forward-thinking AI company in the United Kingdom is seeking a Gen-AI Prompt & Context Engineer to design and operate LLM workflows.The role involves optimizing prompts, developing multi-agent systems, and ensuring compliance and performance through Python automation and various AI frameworks.Stro

A cutting-edge AI research lab seeks an individual to help build the next generation of AI infrastructure.You'll design and architect internal developer platforms and secure Kubernetes structures, managing high-performance NVIDIA H100 clusters.This role offers the chance to work in a remote-first en

We design and operate the systems that enable all engineering at Kraken; bringing together compute, storage, orchestration, and more into a unified reliable platform.