infrastructure engineer, network firewalls services

ai platform engineer

advisory ai infrastructure engineer Jobs in Edinburgh

advisory ai infrastructure engineer

ai engineer

devops engineer, network automation Jobs in Edinburgh

devops engineer, network automation

infrastructure engineer, network firewalls services Jobs in Edinburgh

lead infrastructure engineer cloud compute security

NatWest Group

<div><p>Closing date for applications: 02/09/2026</p>
<div>
<div><p>Location Edinburgh, United Kingdom</p>
</div><div><p>Job typePermanent | Contract typeFull Time</p>
</div><div><div><p>Mostly Remote</p>
<p></p><div><div><p>You&rsquo;ll spend most of your time at home, working with your team digitally. You&rsquo;ll come into an office or hub at least twice a month to collaborate with your colleagues.</p>
</div></div></div></div><div><div><p>Managerial / Technical Lead</p>
<p></p><div><div><p>This is a general indication and doesn&rsquo;t always reflect day-to-day responsibilities. Check the job description for full details.</p>
</div></div></div></div></div><p>#R-00283247</p><br>
<div></div>
<p></p><div>
</div><div><div><div><h2 class="jobSectionHeader"><b>Join our digital revolution in NatWest Digital X</b></h2>
<p>In everything we do, we work to one aim. To make digital experiences which are effortless and secure.</p>
<p>So we organise ourselves around three principles: engineer, protect, and operate. We engineer simple solutions, we protect our customers, and we operate smarter.</p>
</div></div><div></div><div><h2 class="jobSectionHeader"><b>Job description</b></h2>
<p>This role is based in the United Kingdom and as such all normal working days must be carried out in the United Kingdom.</p>
<p></p><div><p>Join us as a DevOps Engineer, Network Automation</p>
<p></p><ul><li>We&rsquo;re looking for a DevOps Engineer to join our Network Automation team, helping design, build and operate automation capabilities that make network and infrastructure services faster, safer and more reliable</li>
<li>You&rsquo;ll work across automation, infrastructure-as-code and network-as-code practices, supporting secure, compliant and auditable change within a highly regulated financial services environment</li>
<li>This is your opportunity to deepen your expertise across modern automation, cloud-native platforms and AI-enabled engineering while working on business-critical infrastructure</li>
</ul><p></p><h2 class="jobSectionHeader"><b>What you'll do</b></h2>
<p></p><p>As a DevOps Engineer, you&rsquo;ll help develop and enhance automation patterns, pipelines and tools that support network and infrastructure services from concept through to operational support. Working closely with engineers, platform teams and service owners, you&rsquo;ll build reusable automation, improve delivery efficiency and embed DevOps best practice across the engineering lifecycle.</p>
<p></p><p>You&rsquo;ll also be:</p>
<p></p><ul><li>Designing, building and maintaining network and infrastructure automation using modern DevOps practices</li>
<li>Delivering automation through code-based CI/CD pipelines, with GitLab experience helping you hit the ground running</li>
<li>Applying infrastructure-as-code and network-as-code principles to create repeatable, controlled and auditable delivery patterns</li>
<li>Embedding security, compliance and risk controls into automation and pipeline design</li>
<li>Supporting automated change, incident and operational workflows, including ServiceNow integration where appropriate</li>
<li>Working with container platforms such as OpenShift or Kubernetes to support automation services and workloads</li>
<li>Exploring practical uses of AI-enabled tooling and workflows to improve operational efficiency, engineering productivity and service reliability</li>
</ul><p></p><h2 class="jobSectionHeader"><b>The skills you'll need</b></h2>
<p></p><p>We&rsquo;re looking for someone with hands-on engineering experience, a strong automation mindset and a solid understanding of enterprise networking. You&rsquo;ll be comfortable working in a DevOps environment where quality, security and operational resilience are built into every stage of delivery. You&rsquo;ll also bring experience of network automation within large-scale financial services or other regulated environments.</p>
<p></p><p>You'll also need experience using AI-enabled tooling to improve engineering outcomes, and scripting capability in Python and Shell for automation workflows, integrations and operational tooling, along with hands-on experience with Ansible and Ansible Automation Platform for network and infrastructure automation at scale.</p>
<p></p><p>You&rsquo;ll also demonstrate:</p>
<ul><li>Experience delivering automation through code-based CI/CD pipelines, with knowledge of GitLab, Jenkins, Azure DevOps or similar platforms</li>
<li>Solid understanding of enterprise networking concepts, including DNS, LDAP, load balancing and traffic management</li>
<li>Ability to embed security practices into CI/CD pipelines so changes are compliant, auditable and risk-aware.</li>
<li>Familiarity with ServiceNow or similar IT service management tooling for change, incident and workflow automation</li>
<li>Experience with OpenShift, Kubernetes or similar container for deployment and workload management</li>
</ul></div><div>
</div></div></div><div><div><div><div><h2 class="jobSectionHeader"><b>Your benefits breakdown</b></h2>
<p>Here&rsquo;s a quick look at what your pay package and annual leave could look like if you get accepted for the role. We have a wide range of benefits to support you in your working life and beyond.</p>
<p>Tap each segment for details.</p>
</div><div><div><h3 class="jobSectionHeader"><b>Your pay package</b></h3>
<div><p>100% Base pay This is your base pay package that you take home every month.</p> <p>+10% Pension funding This is monthly funding paid towards your pension.</p> <p>up to +10% Benefit funding This is monthly funding paid towards a range of benefits you can choose from.</p>
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Your leave allowance</b></h3>
<div><p>30 days Annual leave You&rsquo;ll also have the opportunity to purchase up to 5 additional days off.</p> <p>3 days Volunteering Take time off to support the causes you&rsquo;re passionate about.</p> <p>3 days Training Take time to build the skills you need to grow your career.</p>
</div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Total rewards package</b></h3><br>
<p></p>
</div><div>
</div></div></div></div></div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Welcome to our Gogarburn hub</b></h2>
<p>Set in large grounds including beautiful woodland, Gogarburn offers a conference centre, a business school with hotel bedrooms, a restaurant, relaxing zen gardens, onsite parking, and excellent transport links.</p>
<h3 class="jobSectionHeader"><b>Key facts:</b></h3>
<ul><li>Surrounded by 85 acres of woodland</li>
<li>Our carparks provide electric vehicle charging</li>
<li>Opened in 2005</li>
</ul></div></div></div></div></div></div><p></p><div><div><div><div><h3 class="jobSectionHeader"><b>Our tech stack</b></h3>
<p>Here&rsquo;s just some of the technologies we use.</p>
</div><div><h3 class="jobSectionHeader"><b>Front end</b></h3>
<div><ul><li>JavaScript</li>
<li>ReactJS</li>
<li>AngularJS</li>
</ul></div></div><div><h3 class="jobSectionHeader"><b>Back end</b></h3>
<div><ul><li>Python</li>
<li>Java</li>
<li>Microsoft Dynamics</li>
</ul></div></div><div><h3 class="jobSectionHeader"><b>DevOps</b></h3>
<div><ul><li>AWS</li>
<li>GitLab</li>
<li>Google Cloud Platform</li>
</ul></div></div><div><h3 class="jobSectionHeader"><b>Data</b></h3>
<div><ul><li>Kafka</li>
<li>Hadoop</li>
<li>PostgreSQL</li>
<li>Snowflake</li></ul></div></div></div></div></div></div>

DevOps Engineer, Network Automation

BlackRock

<div>
 <strong>
  About This Role
  <br/>
  <br/>
 </strong>
 <strong>
  AI Labs Overview
  <br/>
  <br/>
 </strong>
 For more than three decades, BlackRock has combined world-class talent and technology to redefine what's possible in asset management. Today, AI is reshaping every aspect of our industry, from investments and client experiences to operations, risk management, and product innovation. BlackRock AI Labs sits at the center of that transformation.
 <br/>
 <br/>
 AI Labs is BlackRock's advanced AI science and engineering organization. We partner with teams across the firm to solve some of the most complex and consequential challenges in financial services, applying generative AI, machine learning, optimization, and statistics to deliver measurable business impact. Our mission is simple but ambitious: combine human and machine intelligence to revolutionize asset management.
 <br/>
 <br/>
 What sets AI Labs apart is our ability to move from idea to impact. We are not a research lab detached from the business, nor are we a traditional software engineering organization. We are a hybrid team of scientists and engineers who build solutions that run at scale in production environments and create capacity for our business partners. From AI-powered investment insights and risk management solutions to next-generation agentic workflows and enterprise AI platforms, our work is helping to shape the future of BlackRock.
 <br/>
 <br/>
 Our teams work on some of the firm's highest priority strategic initiatives, including large-scale generative AI systems, intelligent agents, predictive analytics, optimization engines, operational risk solutions, and AI platforms that accelerate innovation across BlackRock. We help define best practices, establish technical standards, and enable teams throughout the organization to adopt AI safely, effectively, and at scale.
 <br/>
 <br/>
 AI Labs has offices in New York, Edinburgh, Atlanta, San Francisco and Seattle.
 <br/>
 <br/>
 We are looking for candidates with unique backgrounds and diverse skill sets with fresh perspectives to accelerate and amplify our efforts to make an impact at BlackRock.
 <br/>
 <br/>
 <strong>
  In This Role, You Can Expect To
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Provide technical leadership, set architectural direction, and drive key design decisions across multidisciplinary teams.
  </li>
  <li>
   Design, build, and operate production AI/ML systems across areas such as generative AI, intelligent agents, predictive modeling, and optimization.
  </li>
  <li>
   Develop reusable AI platforms, services, and infrastructure that accelerate experimentation, deployment, monitoring, and adoption across the firm.
  </li>
  <li>
   Translate emerging AI capabilities into robust, scalable solutions that deliver measurable business impact.
  </li>
  <li>
   Define evaluation, testing, and observability approaches for AI systems, including non-deterministic and agentic applications.
  </li>
  <li>
   Optimize AI systems and workloads for latency, throughput, compute efficiency, reliability, security, and cost.
  </li>
  <li>
   Partner with business, engineering, data, risk, and control teams to take solutions from concept through production deployment and ongoing operation.
  </li>
  <li>
   Establish engineering standards, mentor engineers, and influence technical strategy across teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  The Minimum Requirements For This Position Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   12+ years of software engineering experience, including significant experience designing, building, and operating complex production systems.
  </li>
  <li>
   6+ years of experience building and deploying AI/ML, optimization, or other model-driven applications in production.
  </li>
  <li>
   Strong proficiency in Python and a track record of developing maintainable, well-tested production software.
  </li>
  <li>
   Strong SQL skills and experience working with data-intensive applications and large-scale datasets.
  </li>
  <li>
   Experience designing and building APIs, services, data pipelines, or distributed systems that support AI/ML applications.
  </li>
  <li>
   Experience with containerization and orchestration technologies, such as Docker and Kubernetes.
  </li>
  <li>
   Demonstrated ability to lead complex technical solutions from architecture and design through production deployment, operation, and continuous improvement.
  </li>
  <li>
   Strong problem-solving, collaboration, and communication skills, with the ability to influence technical decisions across multidisciplinary teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Knowledge And Experience We Value Includes
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience collaborating with research teams in fast-moving environments, ideating quickly on research prototypes.
  </li>
  <li>
   Generative AI, large language models, AI agents, and architectures for production AI systems.
  </li>
  <li>
   Evaluation, experimentation, observability, debugging, and testing approaches for AI/ML systems, including non-deterministic and agentic applications.
  </li>
  <li>
   Machine learning and optimization frameworks such as PyTorch, TensorFlow, or JAX.
  </li>
  <li>
   Distributed systems, cloud infrastructure, model serving, orchestration, data pipelines, and API design.
  </li>
  <li>
   Performance optimization across latency, throughput, compute utilization, reliability, scalability, and cost.
  </li>
  <li>
   Responsible AI, security, governance, and controls in enterprise or regulated environments.
  </li>
  <li>
   Experience with a systems- or performance-oriented programming language such as Rust, C++, C, Go, or Zig.
  </li>
  <li>
   Experience in financial services or another regulated industry.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Our Benefits
  <br/>
  <br/>
 </strong>
 To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
 <br/>
 <br/>
 <strong>
  Our hybrid work model
  <br/>
  <br/>
 </strong>
 BlackRock&rsquo;s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person &ndash; aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
 <br/>
 <br/>
 <strong>
  Guidance on AI use for candidates
  <br/>
  <br/>
 </strong>
 At BlackRock, AI has long been part of how we work &ndash; enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we&rsquo;ve provided
 <strong>
  guidance
 </strong>
 on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
 <br/>
 <br/>
 <strong>
  About BlackRock
  <br/>
  <br/>
 </strong>
 At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children&rsquo;s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
 <br/>
 <br/>
 This mission would not be possible without our smartest investment &ndash; the one we make in our employees. It&rsquo;s why we&rsquo;re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
 <br/>
 <br/>
 To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.
 <br/>
 <br/>
 BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.
</div>


Director, Artificial Intelligence & Machine Learning Engineer

ClearSky Logic

<p><b>Principal Eng</b></p><p>About Us</p><p>At ClearSky, we are The Tech Enabler. We unlock exponential business growth by taking complex technical challenges and turning them into simple, high-performance digital solutions. Our engineering teams do incredible work in bespoke software and AI. We believe in building solid software. We are looking for a talented Principal Engineer to champion engineering excellence.</p><p>Role Details</p><ul><li><b>Location:</b> Edinburgh - 4 Queen Street - Hybrid (3 days on site):</li><li><b>Salary:</b> Up 75K plus to 10% company bonus</li><li><b>Please note:</b> We are unable to offer sponsorship.</li></ul><p>How We Support Our Team</p><ul><li><b>34 days' holiday</b> - because work-life balance matters.</li><li><b>Birthday off</b> - no one should work on their special day.</li><li><b>Health and Security</b> - Sick pay, private dental &amp; medical insurance - we've got your health covered.</li><li><b>Family First</b> - Enhanced family-friendly policies.</li><li><b>Growth Path</b> - Tailored professional development - we support your growth so you can become the expert you're meant to be.</li><li><b>Culture Matters</b> - Office perks &amp; team celebrations.</li></ul><p>Your Mission</p><p>As a Principal Engineer, you won't just write exceptional code; you'll be a deep technical expert across our Hub, working alongside our other senior engineers to push what's technically possible. You're the same level as our Tech Leads, but your focus is purely technical craft rather than people management. You'll have a home squad, but your impact won't stop there &mdash; expect to bring your expertise to other squads as the Hub needs it, raising the bar on how we design and build software. Your mission is to empower our engineering squads to build brilliant, scalable digital products.</p><p><i>What You'll Be Doing</i></p><p><b>Technical Strategy &amp; Architecture:</b> Demonstrate mastery of core technologies and oversee high-level design challenges across squads in the Hub, ensuring alignment with client needs. You'll have a home squad, with focused time spent supporting others as technical needs arise.</p><p><b>Leadership &amp; Mentorship:</b> Guide developers across the Hub, and collaborate with Tech Leads to support professional growth and foster a collaborative culture.</p><p><b>AI Advancement:</b> Lead the adoption of AI engineering practices across the Hub</p><p><b>Knowledge Sharing:</b> Drive appropriate documentation standards and lead technical discussions, guilds, and forums with the rest of the senior engineering team.</p><p><b>Risk Management:</b> Tackle complex technical challenges across multiple squads, breaking them into actionable steps while mitigating risk at the Hub level.</p><p><i>What You Bring to the Table</i></p><ul><li><b>Must-Haves:</b> Deep mastery of C# &amp; .Net, SQL database design, Solution Architecture experience, Cloud infrastructure (ideally Azure), and experience using AI coding tools.</li><li><b>Nice-to-Haves:</b> Deployment pipelines, identity management, front-end or mobile experience, and AI integration design.</li></ul><p>Leadership &amp; Approach</p><ul><li><b>Proven Track Record:</b> Experience leading complex technical initiatives, setting engineering standards, and proactively managing risks.</li><li><b>Collaborative Mindset:</b> A self-starter who values sharing knowledge to help engineers &quot;level up&quot;, incorporates feedback into strategies, and balances advanced initiatives with pragmatic client needs.</li><li><b>Mature AI Understanding:</b> You know when and how to apply AI safely, how to manage its associated risks, and when it is not the right tool for the job.</li></ul><p><i>Why You'll Love It Here:</i></p><p>You'll join a team that values quality, creativity, and autonomy. We're building a place where we can all thrive and become the best at what we do.</p><p>Pay: Up to &pound;75,000.00 per year</p><p>Application question(s):</p><ul><li>How many times a week are you willing to travel to Edinburgh? </li><li>Do you currently, or will you in the future, require visa sponsorship to work in the UK?</li><li>Do you have professional, production-level experience designing and building applications using C# and .NET?</li></ul><p>Work authorisation:</p><ul><li>United Kingdom (required)</li></ul><p>Work Location: Hybrid remote in Edinburgh EH2 1JE</p>

Principal Software Engineer

European Tech Recruit

<div>
 <p>
  <strong>
   Data Infrastructure and AI Engineer - Database Systems / AI Infrastructure / Distributed Systems / Systems Research
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are currently partnered with an advanced technology and research organisation developing next-generation data infrastructure, AI systems, and computing technologies.
 </p>
 <p>
  As part of their continued investment in advanced systems research, they are looking to hire a Data Infrastructure and AI Engineer to work at the intersection of database systems, distributed infrastructure, machine learning systems, and low-level computing.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key responsibilities
 </p>
 <ul>
  <li>
   Design, implement, and evaluate next-generation data infrastructure and AI systems
  </li>
  <li>
   Research and develop innovative approaches to database systems, distributed data management, and AI infrastructure
  </li>
  <li>
   Investigate database architecture, query processing, query optimisation, storage engines, indexing, transaction processing, concurrency control, recovery, and distributed data management
  </li>
  <li>
   Develop and optimise systems supporting modern AI workloads, including large language models and agentic AI applications
  </li>
  <li>
   Research techniques including LLM quantisation, on-device inference, supervised and unsupervised fine-tuning, parameter-efficient fine-tuning, knowledge distillation, and gradient-free learning
  </li>
  <li>
   Investigate memory architectures and data management techniques for agentic AI systems
  </li>
  <li>
   Develop system prototypes and conduct rigorous empirical evaluations
  </li>
  <li>
   Analyse workloads and identify system-level performance bottlenecks
  </li>
  <li>
   Design and execute benchmarks, experiments, and performance evaluations
  </li>
  <li>
   Profile complex systems and diagnose performance, scalability, and efficiency issues
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Key requirements
 </p>
 <ul>
  <li>
   Master's or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related technical discipline
  </li>
  <li>
   Contributions to database systems, data processing engines, storage systems, distributed systems, compilers, operating systems, or other low-level infrastructure projects
  </li>
  <li>
   Experience with hardware-conscious system design and optimisation
  </li>
  <li>
   Familiarity with multi-core CPUs, NUMA, RDMA, CXL, NVM, SSDs, GPUs, NPUs, or heterogeneous computing architectures
  </li>
  <li>
   Experience developing AI-focused data infrastructure
  </li>
  <li>
   Knowledge of vector search and embedding management
  </li>
  <li>
   Experience with Retrieval-Augmented Generation (RAG) systems
  </li>
  <li>
   Knowledge of knowledge graphs and semantic data management
  </li>
  <li>
   Experience developing memory systems or infrastructure for agentic AI
  </li>
  <li>
   Experience optimising systems for AI workloads and large-scale data processing
  </li>
  <li>
   Research publications in leading database, systems, or AI infrastructure conferences and journals
  </li>
  <li>
   Experience translating academic research into production-quality systems or prototypes
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Keywords
 </p>
 <p>
  Data Infrastructure / AI Infrastructure / Data Infrastructure Engineer / AI Engineer / Systems Engineer / Research Engineer / Database Engineer / Database Systems / AI Systems / Distributed Systems / Computer Systems / Operating Systems / Database Internals / Query Processing / Query Optimisation / Storage Engines / Indexing / Transactions / Concurrency Control / Distributed Data Management / Cloud-Native Databases / HTAP / Vector Databases / Graph Databases / Lakehouse / AI-Native Data Platforms / PostgreSQL / MySQL / DuckDB / Spark / Flink / Velox / ClickHouse / RocksDB / TiDB / CockroachDB / LLM / Large Language Models / LLM Quantisation / LLM Inference / On-Device AI / Fine-Tuning / PEFT / Knowledge Distillation / Agentic AI / AI Memory / Vector Search / Embeddings / RAG / Retrieval-Augmented Generation / Knowledge Graphs / Semantic Data / C / C++ / Rust / Go / Python / TensorFlow / GPU / NPU / NUMA / RDMA / CXL / NVM / SSD / Heterogeneous Computing / Performance Optimisation / Benchmarking / Profiling / Systems Research / AI Infrastructure / Data Systems / Distributed Computing
 </p>
 <p>
  <br/>
 </p>
 <p>
  By applying to this role, you understand that we may collect your personal data and process it in line with our privacy policy.
 </p>
 <p>
  <u>
   https://eu-recruit.com/wp-content/uploads/2025/01/European-Tech-Recruit-Privacy-Notice-2025.pdf
  </u>
 </p>
</div>


Data Infrastructure and AI Engineer - Database Systems / AI Infrastructure / Distributed Systems / Systems Research

Huawei Technologies Research & Development (UK) Ltd

<div>
 <strong>
  About Huawei Research And Development UK Limited
  <br/>
  <br/>
 </strong>
 Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world.
 <br/>
 <br/>
 Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they&rsquo;re at home, in the office, or on the go.
 <br/>
 <br/>
 This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live.
 <br/>
 <br/>
 For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs.
 <br/>
 <br/>
 <strong>
  This strategic focus is a reflection of our core values:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Staying customer-centric,
  </li>
  <li>
   Inspiring dedication,
  </li>
  <li>
   Persevering,
  </li>
  <li>
   Growing by reflection.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Huawei Research And Development UK Limited Overview
  <br/>
  <br/>
 </strong>
 Huawei&rsquo;s vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward.
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 We are seeking a skilled AI Compiler Optimization Engineer to optimize AI model inference performance through advanced compiler technologies. You will focus on performance tuning for CPU or hybrid CPU/XPU heterogeneous architectures, profiling AI frameworks to discover new optimization opportunities, and delivering cutting-edge insights from industry research.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 Compiler-Based Performance Optimization:
 <br/>
 <br/>
 <ul>
  <li>
   Implement compiler techniques (e.g., MLIR level optimizations, LLVM backend optimizations) to enhance inference performance on CPU and CPU/XPU hybrid systems
  </li>
  <li>
   Optimize JIT level compute graphs with operator fusion, memory allocation and etc. for latency/throughput improvements
  </li>
  <li>
   Preferred: Experience with LLVM/MLIR development
   <br/>
   <br/>
  </li>
 </ul>
 AI Model Profiling &amp; Framework Optimization:
 <br/>
 <br/>
 <ul>
  <li>
   Profile end-to-end inference workflows on frameworks like TensorFlow, PyTorch, ONNX, and llama.cpp to identify hotspots and bottlenecks
  </li>
  <li>
   Propose and implement optimization strategies (e.g., kernel tuning, graph-level optimizations)
  </li>
  <li>
   Preferred: Experience optimizing models on multiple AI frameworks
   <br/>
   <br/>
  </li>
 </ul>
 Research &amp; Insight Development:
 <br/>
 <br/>
 <ul>
  <li>
   Track and analyze the latest advancements in AI &amp; compiler research (academic papers, open-source projects)
  </li>
  <li>
   Produce actionable insight reports summarizing trends, benchmarks, and potential optimizations
  </li>
  <li>
   Preferred: Strong technical writing skills with prior publications or reports
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited.
  <br/>
  <br/>
 </em>
 <strong>
  Person Specification:
  <br/>
  <br/>
 </strong>
 <strong>
  Required:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in C/C++ and compiler infrastructure (LLVM, MLIR, or similar)
  </li>
  <li>
   Deep understanding of AI model architectures and inference workflows
  </li>
  <li>
   Experience with performance profiling tools (e.g., perf, TensorBoard, VTune)
  </li>
  <li>
   Familiarity with CPU/XPU hardware architectures and optimization techniques
  </li>
  <li>
   Strong analytical and problem-solving skills
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desired:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   BSc/MSc/MSci in CS
  </li>
  <li>
   Contributions to open-source compiler projects (LLVM/MLIR communities)
  </li>
  <li>
   Experience with heterogeneous computing (CPU/GPU/XPU)
  </li>
  <li>
   Published work or technical blogs on AI/compiler optimization topics
  </li>
  <li>
   Good at self-learning, courageous to explore new things, strong in practical skill
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   33 days annual leave entitlement per year (including UK public holidays)
  </li>
  <li>
   Group Personal Pension
  </li>
  <li>
   Life insurance
  </li>
  <li>
   Private medical insurance
  </li>
  <li>
   Medical expense claim scheme
  </li>
  <li>
   Employee Assistance Program
  </li>
  <li>
   Cycle to work scheme
  </li>
  <li>
   Company sports club and social events
  </li>
  <li>
   Additional time off for learning and development
  </li>
 </ul>
</div>


AI Compiler Optimization Engineer

<div><p>Closing date for applications: 01/09/2026</p>
<div>
<div><p>Location Edinburgh, United Kingdom</p>
</div><div><p>Salary &pound;46,113 &ndash; &pound;65,100</p>
</div><div><p>Job typePermanent | Contract typeFull Time</p>
</div><div><div><p>Remote / On-site Hybrid</p>
<p></p><div><div><p>You&rsquo;ll spend some of your time at home, working with your team digitally. You&rsquo;ll also regularly work at your office or hub to collaborate with your colleagues.</p>
</div></div></div></div><div><div><p>Experienced</p>
<p></p><div><div><p>This is a general indication and doesn&rsquo;t always reflect day-to-day responsibilities. Check the job description for full details.</p>
</div></div></div></div></div><p>#R-00283341</p><br>
<div></div>
<p></p><div>
</div><div><div><div><h2 class="jobSectionHeader"><b>Join our digital revolution in NatWest Digital X</b></h2>
<p>In everything we do, we work to one aim. To make digital experiences which are effortless and secure.</p>
<p>So we organise ourselves around three principles: engineer, protect, and operate. We engineer simple solutions, we protect our customers, and we operate smarter.</p>
</div></div><div></div><div><h2 class="jobSectionHeader"><b>Job description</b></h2>
<p>This role is based in the United Kingdom and as such all normal working days must be carried out in the United Kingdom.</p>
<p></p><div><p>Join us as a Software Engineer - Google Cloud Platform</p>
<p></p><ul><li>This is an opportunity for a driven Software Engineer to take on an exciting new career challenge</li>
<li>Day-to-day, you'll be engineering and maintaining innovative, customer centric, high performance, secure and robust solutions</li>
<li>It&rsquo;s a chance to hone your existing technical skills and advance your career while building a wide network of stakeholders</li>
</ul><p></p><h2 class="jobSectionHeader"><b>What you'll do</b></h2>
<p></p><p>In your new role, you&rsquo;ll be working within a feature team to engineer software, scripts and tools, as well as liaising with other engineers, architects and business analysts across the platform.</p>
<p></p><p>You&rsquo;ll also be:</p>
<p></p><ul><li>Producing complex and critical software rapidly and of high quality which adds value to the business</li>
<li>Working in permanent teams who are responsible for the full life cycle, from initial development, through enhancement and maintenance to replacement or decommissioning</li>
<li>Collaborating to optimise our software engineering capability</li>
<li>Designing, producing, testing and implementing our working software solutions</li>
<li>Working across the life cycle, from requirements analysis and design, through coding to testing, deployment and operations</li>
</ul><p></p><h2 class="jobSectionHeader"><b>The skills you'll need</b></h2>
<p></p><p>We're looking for someone with hands-on experience of Google Cloud Platform developing, comfortable building and scaling solutions across the wider GCP ecosystem rather than any single component. You'll bring practical knowledge of GCP infrastructure using Terraform, along with GCP networking including VPC design, subnets, firewall rules, and Cloud Load Balancing.</p>
<p></p><p>You'll also have a genuine interest in emerging AI technologies, with exposure to LLMs and integrations using Model-Context Protocol (MCP) and Agent-2-Agent, ideally including the Gemini Enterprise Agent Platform. A creative, problem-solving mindset and experience of working in an Agile team will help you thrive as we grow.</p>
<p></p><p>You'll also need:</p>
<p></p><ul><li>Experience with Apigee Hybrid or Apigee X as part of a broader GCP toolkit</li>
<li>Working knowledge of Kubernetes, particularly Google Kubernetes Engine</li>
<li>Familiarity with Cloud Armor and Model Armor for platform and AI protection</li>
<li>Understanding of MCP and A2A concepts and how they integrate with LLM services</li>
<li>Relevant Google Cloud Platform professional qualifications</li>
<li>The ability to apply new AI technologies to real engineering challenges</li>
</ul></div><div>
</div></div></div><div><div><div><div><h2 class="jobSectionHeader"><b>Your benefits breakdown</b></h2>
<p>Here&rsquo;s a quick look at what your pay package and annual leave could look like if you get accepted for the role. We have a wide range of benefits to support you in your working life and beyond.</p>
<p>Please note, the presented benefits packages are based on the minimum base salary.</p>
<p>Tap each segment for details.</p>
</div><div><h3 class="jobSectionHeader"><b>Your pay package</b></h3>
<div><div><p>&pound;</p>
</div></div></div><p></p><div><div><h3 class="jobSectionHeader"><b>Your leave allowance</b></h3>
<div><p>28 days Annual leave You&rsquo;ll also have the opportunity to purchase up to 5 additional days off.</p> <p>3 days Volunteering Take time off to support the causes you&rsquo;re passionate about.</p> <p>3 days Training Take time to build the skills you need to grow your career.</p>
</div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Total rewards package</b></h3><br>
<p></p>
</div><div>
</div></div></div></div></div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Welcome to our Gogarburn hub</b></h2>
<p>Set in large grounds including beautiful woodland, Gogarburn offers a conference centre, a business school with hotel bedrooms, a restaurant, relaxing zen gardens, onsite parking, and excellent transport links.</p>
<h3 class="jobSectionHeader"><b>Key facts:</b></h3>
<ul><li>Surrounded by 85 acres of woodland</li>
<li>Our carparks provide electric vehicle charging</li>
<li>Opened in 2005</li>
</ul></div></div></div></div></div></div><p></p><div><div><div><div><h3 class="jobSectionHeader"><b>Our tech stack</b></h3>
<p>Here&rsquo;s just some of the technologies we use.</p>
</div><div><h3 class="jobSectionHeader"><b>Front end</b></h3>
<div><ul><li>JavaScript</li>
<li>ReactJS</li>
<li>AngularJS</li>
</ul></div></div><div><h3 class="jobSectionHeader"><b>Back end</b></h3>
<div><ul><li>Python</li>
<li>Java</li>
<li>Microsoft Dynamics</li>
</ul></div></div><div><h3 class="jobSectionHeader"><b>DevOps</b></h3>
<div><ul><li>AWS</li>
<li>GitLab</li>
<li>Google Cloud Platform</li>
</ul></div></div><div><h3 class="jobSectionHeader"><b>Data</b></h3>
<div><ul><li>Kafka</li>
<li>Hadoop</li>
<li>PostgreSQL</li>
<li>Snowflake</li></ul></div></div></div></div></div></div>

Software Engineer - Google Cloud Platform

Speechify

<div><p>The mission of Speechify is to make sure that reading is never a barrier to learning.</p>
<p>
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.</p>
<p>
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.</p>
<p><b>
Overview</b></p>
<p>
With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward.
</p><p>This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.</p>
<p>
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.</p>
<p>
Our interview process involves several technical interviews and we aim to complete them within 1 week.</p>
<p><b>
What Yo</b><b>u'</b><b>ll Do</b></p>
<ul>
<li>Opportunity to lead key engineering and product decisions</li>
<li>Actively shipping production code for the Speechify iOS app</li>
<li>Work within a dedicated product team</li>
<li>Participate in product discussions to shape the product roadmap</li>
<li>Maintain and enhance the existing complex app architecture</li>
</ul>
<p><b>An Ideal Candidate Should Have</b></p>
<ul>
<li>Experience. You've worked on products that scaled to a large user base</li>
<li>Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product</li>
<li>Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience</li>
<li>Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction</li>
<li>Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time</li>
<li>Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down</li>
<li>Technical skills. Swift, SwiftUI</li>
</ul>
<p><b>Technical Requirements:</b></p>
<ul>
<li>Swift Programming Language</li>
<li>SwiftUI experience</li>
<li>Experience in Multithreading Programming</li>
<li>Working with CI/CD infrastructure</li>
<li>Experience with Fastlane</li>
<li>SOLID principles, the ability to write every single class according to SOLID</li>
<li>Experience with Git and understanding of different Git strategies</li>
</ul>
<p><b>What We offer:</b></p>
<ul>
<li>A fast-growing environment where you can help shape the company and product</li>
<li>An entrepreneurial crew that supports risk, intuition, and hustle</li>
<li>The opportunity to make a big impact in a transformative industry</li>
<li>A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture</li>
<li>Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives</li>
<li>Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world</li>
<li>Work in one of the fastest growing sectors of tech: Intersection of Artificial Intelligence and Audio</li>
</ul>
<p><b>Think you're a good fit for this job?</b></p>
<p>
Tell us more about yourself and why you're interested in the role when you apply.
<br>
And don't forget to include links to your portfolio and LinkedIn.</p>
<p><b>
Not looking but know someone who would make a great fit?</b></p>
<p>
Refer them!</p>
<p><b>
Speechify is committed to a diverse and inclusive workplace.</b></p>
<p>
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</p></div>

Software Engineer, iOS Core Product - Edinburgh, United Kingdom

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