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Mimica

<div><h2 class="jobSectionHeader">What we are building</h2>
Mimica is an AI-powered process intelligence platform enabling enterprises and individuals to reclaim their most precious resource: time. We've all seen repetitive tasks and redundant processes quietly drain productivity and creativity. Not because companies don&rsquo;t want to become more efficient, but because they don&rsquo;t know where to start.
At the click of a button, Mimica identifies every process improvement and agentic AI opportunity across an enterprise. Our software turns everyday work into data-backed decisions, helping companies remove process bottlenecks, automate the right tasks, and upskill teams with precision and confidence.
We&rsquo;ve raised $26 million in Series B financing and are scaling fast. Backed by investors including Khosla Ventures and Paladin Capital, our proprietary AI technology is trusted by Fortune 500 companies to accelerate transformation. Mimica is recognized as a Top 100 AI Start-up by Accel and an industry Leader by the Everest Group.
Behind our platform is a team of exceptionally talented people, remote-first and globally distributed across 16+ countries. We're looking for curious, collaborative people excited to solve complex problems. You'll join a fast-paced environment built on high ownership, bottom-up thinking, and transparent, open communication &ndash; helping some of the world's leading organizations transform the way work gets done with AI.
Our approach to engineering<ul><li>
We prioritize customer needs first</li><li>
We work in small, project-based teams</li><li>
We have flexibility in terms of the problems we work on</li><li>
We own the full lifecycle of our projects</li><li>
We avoid silos and encourage taking up tasks in new areas</li><li>
We balance quality and velocity</li><li>
We have a shared responsibility for our production code</li><li>
We each set our own routine to maximize our productivity</li></ul><h3 class="jobSectionHeader">
Your mission</h3>
In this role, your mission will be to enhance and scale the backend systems powering the Mimica platform (MERN stack). This means designing and implementing a scalable architecture, developing and optimizing backend services and APIs, improving the performance and reliability of existing components, and taking operational responsibility for what you build. As a member of our early engineering team, you&lsquo;ll have the opportunity to shape our technical direction, processes and culture.<h3 class="jobSectionHeader">
Part of your day-to-day</h3><ul><li>
Contributing to architectural decisions and collaborating across teams to identify and implement product improvements.</li><li>
Developing and optimizing a real-time backend service that enables multiple users to edit graph data and re-train AI models through their input.</li><li>
Creating libraries and building APIs in our Node.js backend to interact with the various ML components of the system.</li><li>
Diagnozing fault-tolerance and availability issues, as well as performance bottlenecks, and resolving them.</li><li>
Refactoring our components and services and producing documentation for your implementations.</li><li>
Providing feedback to peers through pair programming and code reviews and helping those around you to level up.</li><li>
Participating in hiring and onboarding new team members; taking on end-to-end project management responsibilities as we grow.</li></ul> 
What you will bring<ul><li>
Background in backend engineering, focusing on developing high-performance production software and scalable architectures.</li><li>
Minimum 8 years of experience as a Software Engineer.</li><li>
Proficiency in JavaScript/TypeScript, and experience using modern frameworks and technologies (e.g., Docker, K8s) to build high-throughput, low-latency systems.</li><li>
Practical experience in designing APIs and managing databases (e.g., PostgreSQL, MongoDB), with a keen eye for query optimization and efficient data storage &amp; handling.</li><li>
Firm grasp of distributed systems concepts and techniques &ndash; microservices, load balancing, caching, horizontal/vertical scaling and stateless architectures.</li><li>
Commitment to upholding high engineering standards, prioritizing code quality, maintainability, reliability, and security.</li><li>
Strong analytical and troubleshooting skills &ndash; methodically decomposing systems to identify bottlenecks, determine root causes and implement effective solutions.</li><li>
Drive to continually develop your skills, improve team processes and reduce debt.</li><li>
Fluency in English, with effective communication skills &ndash; articulating complex ideas, concepts, and trade-offs clearly.</li></ul>
Bonus<ul><li>
Experience owning projects from start to finish, including speccing, architecture, development, testing, deployment, release and monitoring.</li><li>
Experience working within an international high-impact Startup/Scale-up environment &ndash; delivering value quickly and iteratively.</li><li>
Active interest in AI, automation, or related fields.</li></ul>
We&rsquo;d love to hear from you, even if you feel you don&rsquo;t quite have all of the above.<h2 class="jobSectionHeader">
Location</h2>
This is a fully remote position. You can be based anywhere in the UK, Americas, or Europe within a UTC-6 to UTC+1 timezone.<h2 class="jobSectionHeader">
What we offer</h2>
Generous compensation + stock options - aligned with our internal framework, market data, and individual skills.
Distributed work: Work from anywhere - fully remote, in our hubs, or a mix.
Company-issued laptop, remote setup stipend, and co-working budget
Flexible schedules and location
Ample paid time off, in addition to local public holidays
Enhanced parental leave
Health &amp; retirement benefits
Annual learning &amp; development budget
Annual workaways and regular virtual &amp; in-person socials
Opportunity to contribute to groundbreaking projects that shape the future of work
Note: Some benefits may vary depending on location and role
 Mimica will only contact candidates from an @mimica.ai email address. We do not request banking or sensitive personal information during the recruiting process.</div>

Staff/Senior Backend Engineer (Node.js)

Addepar

<div><div>Who We Are

Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and S&atilde;o Paulo.</div><h4 class="jobSectionHeader">
The Role</h4>

We are looking for a Staff Backend Software Engineer in Edinburgh to join the Product Platform team, which builds foundational components and cross-functional capabilities for our ecosystem.

In this role, you will lead the design and implementation of critical API services powering our financial data ecosystem while modernizing our architecture to fuel European expansion.

Key responsibilities and strategic impact include:
<ul>
<li>Scaling platform capabilities across diverse clients, regions, and geographies.</li>
<li>Building resilient, multi-region solutions that boost system performance and elevate user experience.</li>
<li>Ensuring architecture complies with European and international financial regulatory standards.</li>
<li>Providing key technical leadership to transform how global clients connect with and leverage financial data.</li>
</ul>
Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.
<h4 class="jobSectionHeader">
What You'll Do</h4>
<ul><li>Design, develop, and implement robust API services to support our rapidly growing European customer base.</li>
<li>Lead architecture designs and product roadmap creation.</li>
<li>Research and drive the adoption of new technologies and best practices to drive innovation.</li>
<li>Analyse and dive deep into a complex and powerful ecosystem, understanding requirements, determining optimal approaches and driving change.</li>
<li>Mentor, coach, and empower other engineers, contributing to an inclusive and high-performing team culture.</li>
<li>Amplify your technical ability by empowering your peers and contributing to code reviews and technical designs.</li>
<li>Debug and troubleshoot issues across the entire application stack.</li>
<li>Collaborate effectively with other engineers, product managers and stakeholders, in line with our company values outlined below.</li>
<li>Be part of a high-performing, cross-functional team.</li>
</ul><h4 class="jobSectionHeader">Who You Are</h4>
<ul><li>You have extensive experience in software development, including building backend services in a professional environment.</li>
<li>You have a deep and expert knowledge of software design patterns, API design, and the software development lifecycle.</li>
<li>Proven ability to influence technical direction and make significant contributions to the architecture of complex, distributed systems.</li>
<li>Understanding of REST, service-based architecture, and distributed systems.</li>
<li>A rapid learner with robust analytical and problem-solving abilities.</li>
<li>A curious person, who enjoys digging deep into requirements and handling complexity.</li>
<li>You have a track record of amplifying your impact by mentoring other engineers and collaborating effectively within a team of senior peers.</li>
<li>Experience building services with Java, SQL and AWS.</li>
<li>Experience with Elasticsearch is a nice-to-have.</li>
<li>Demonstrable knowledge of using AI in a professional engineering environment.</li>
<li>Interest or experience in the financial industry or wealth management in particular.</li>
</ul><div>
Our Values
<ul>
<li>Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.</li>
<li>Build Together - Collaborate to unlock the best solutions. Deliver lasting value.</li>
<li>Champion Our Clients - Exceed client expectations. Our clients' success is our success.</li>
<li>Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.</li>
<li>Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.</li>
</ul>
In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote &quot;interviews,&quot; and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to ta-operations@addepar.com.</div></div>

Staff Backend Software Engineer

Speechify

<div>The mission of Speechify is to make sure that reading is never a barrier to learning.

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.

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.

Overview

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.
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.

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.

Our interview process involves several technical interviews and we aim to complete them within 1 week.

What You'll Do
<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>
An Ideal Candidate Should Have
<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>
Technical Requirements:
<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>
What We offer:
<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>
Think you're a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
 
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

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.</div>

Software Engineer, iOS Core Product - Edinburgh, United Kingdom

ClearSky Logic

Principal EngAbout UsAt 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.Role Details<ul><li>Location: Edinburgh - 4 Queen Street - Hybrid (3 days on site):</li><li>Salary: Up 75K plus to 10% company bonus</li><li>Please note: We are unable to offer sponsorship.</li></ul>How We Support Our Team<ul><li>34 days' holiday - because work-life balance matters.</li><li>Birthday off - no one should work on their special day.</li><li>Health and Security - Sick pay, private dental &amp; medical insurance - we've got your health covered.</li><li>Family First - Enhanced family-friendly policies.</li><li>Growth Path - Tailored professional development - we support your growth so you can become the expert you're meant to be.</li><li>Culture Matters - Office perks &amp; team celebrations.</li></ul>Your MissionAs 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.What You'll Be DoingTechnical Strategy &amp; Architecture: 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.Leadership &amp; Mentorship: Guide developers across the Hub, and collaborate with Tech Leads to support professional growth and foster a collaborative culture.AI Advancement: Lead the adoption of AI engineering practices across the HubKnowledge Sharing: Drive appropriate documentation standards and lead technical discussions, guilds, and forums with the rest of the senior engineering team.Risk Management: Tackle complex technical challenges across multiple squads, breaking them into actionable steps while mitigating risk at the Hub level.What You Bring to the Table<ul><li>Must-Haves: Deep mastery of C# &amp; .Net, SQL database design, Solution Architecture experience, Cloud infrastructure (ideally Azure), and experience using AI coding tools.</li><li>Nice-to-Haves: Deployment pipelines, identity management, front-end or mobile experience, and AI integration design.</li></ul>Leadership &amp; Approach<ul><li>Proven Track Record: Experience leading complex technical initiatives, setting engineering standards, and proactively managing risks.</li><li>Collaborative Mindset: 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>Mature AI Understanding: 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>Why You'll Love It Here: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.Pay: Up to &pound;75,000.00 per yearApplication question(s):<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>Work authorisation:<ul><li>United Kingdom (required)</li></ul>Work Location: Hybrid remote in Edinburgh EH2 1JE

Principal Software Engineer

Huawei Technologies Research & Development (UK) Ltd

<div>
 
 About Huawei Research And Development UK Limited
 
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 
 This strategic focus is a reflection of our core values:
 
 
 
 <ul>
 <li>
 Staying customer-centric,
 </li>
 <li>
 Inspiring dedication,
 </li>
 <li>
 Persevering,
 </li>
 <li>
 Growing by reflection.
 
 
 </li>
 </ul>
 
 Huawei Research And Development UK Limited Overview
 
 
 
 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.
 
 
 
 Job Summary
 
 
 
 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.
 
 
 
 Key Responsibilities:
 
 
 
 Compiler-Based Performance Optimization:
 
 
 <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
 
 
 </li>
 </ul>
 AI Model Profiling &amp; Framework Optimization:
 
 
 <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
 
 
 </li>
 </ul>
 Research &amp; Insight Development:
 
 
 <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
 
 
 </li>
 </ul>
 
 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.
 
 
 
 
 Person Specification:
 
 
 
 
 Required:
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Desired:
 
 
 
 <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
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <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

European Tech Recruit

<div>
 
 
 Data Infrastructure and AI Engineer - Database Systems / AI Infrastructure / Distributed Systems / Systems Research
 
 
 
 
 
 
 We are currently partnered with an advanced technology and research organisation developing next-generation data infrastructure, AI systems, and computing technologies.
 
 
 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.
 
 
 
 
 
 Key responsibilities
 
 <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>
 
 
 
 
 Key requirements
 
 <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>
 
 
 
 
 Keywords
 
 
 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
 
 
 
 
 
 By applying to this role, you understand that we may collect your personal data and process it in line with our privacy policy.
 
 
 
 https://eu-recruit.com/wp-content/uploads/2025/01/European-Tech-Recruit-Privacy-Notice-2025.pdf
 
 
</div>

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

University of Edinburgh

<div>Grade UE06: &pound;34,610 to &pound;39,906 per annum, pro rata if part time
School of Informatics / CSE
Full Time: 35 hours per week
Fixed term: for 12 months with possibility of extension depending on performance and funding availability.
Four Positions Available 
The Opportunity:
Push the boundaries of Agentic AI trustworthiness at the intersection of cryptography, privacy enhancing technologies (PETS), agentic systems, and automated verifiable design.
We are hiring four research assistants (pre-doc or equivalent) to join our teaming working building/implementing an agentic security stack that decomposes tasks by security/privacy risks/requirements and functionality boundaries, translates sub-task user requirements into formal specifications, selects or generates suitable cryptographic protocols (e.g. secure comms, MPC, ZK), and verifies their properties (with LEAN, Proverif, etc.). Its goal is an end-to-end workflow in which agents (from orchestrators to sub-agents) can negotiate security needs and connect verified protocol descriptions to executable multi-agent interactions.
The University of Edinburgh is a world-class organisation. We look for the best in the field across all disciplines and provide a working environment where academics can develop their careers and passion for their chosen subject area. We offer the full range of academic roles and have a genuine focus on our researchers&rsquo; performance and wellbeing.
As a research assistant, you will significantly contribute to the project deliverables for the work steams you will work within (Cryptography, Formal verification, Agentic systems, and/or Security/Privacy) as well as contribute to academic outputs such as research publications, datasets, and dissemination activities (e.g. presentations and posters). You will work closely with the Investigator team and senior researchers in the planning and execution of project artefacts and deliverables.
People have always been at the heart of our work. Our people are at the centre of the University community and everything we do. We value colleagues with drive, determination and a passion for what they do. We are a place where everyone is welcome and offer a range of policies and benefits designed to support you in building the right meaningful flexibility that works for you.
A career with us has a range of other benefits that can be tailored to your lifestyle:
<ul><li>Professional development and subject matter expertise.
</li><li>Opportunities to develop new skills and broaden your experience.
</li><li>Leading-edge research.
</li>Opportunities for publication. 
<li>
</li></ul>This post is full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.
View the full job description
How to apply:
Please include the following documents in your application:
<ul><li>CV
</li>Cover letter 
<li>
</li></ul>As a valued member of our team, you can expect:
<ul><li>A competitive salary.
</li><li>An exciting, positive, creative, challenging and rewarding place to work.
</li><li>To be part of a diverse and vibrant international community.
</li><li>Comprehensive Staff Benefits, including generous annual leave entitlement, a defined benefits pension scheme, a wide range of staff discounts, family-friendly initiatives, and flexible work options. Check out the full list on our staff benefits page (opens in a new tab) and use our reward calculator to discover the value of your pay and benefits. 
</li></ul>Championing equality, diversity, and inclusion
The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter, and we are also a Stonewall Proud Employer, actively promoting LGBTQ+ equality.
Prior to any employment commencing with the University, you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages (opens new browser tab)
On this occasion the University will not consider applicants requiring sponsorship for this role. International workers will therefore only be able to take up this role if they can demonstrate an alternative right to work in the UK.
Key dates to note
The closing date for applications is 14 September 2026.
Unless stated otherwise the closing time for applications is 11:59pm UK time. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.
Interviews will be held mid-September.</div>

Research Assistant

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