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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

About the Role Join a pioneering team that’s redefining how AI and cloud-native platforms power front-office trading. We’re hiring a hands-on Data Engineer to help shape the future of our platform, a critical infrastructure that supports Quantitative and Strat developers in building next-generation trading solutions. This is not a standard engineering role. You’ll work closely with front‑office traders and quantitative developers, focusing on the data engineering required to design, build, and operate bespoke generative AI and agent‑based systems used directly in trading workflows. The work you do will have a measurable impact on how strategies are developed, tested, and executed. If you’re motivated by building novel, production‑grade systems at the leading edge of technology, this role gives you the scope to do exactly that. What You’ll Do You’ll design, build, and innovate across both cloud and on-prem environments, scaling platform capabilities and driving AI adoption: • Design, build, and maintain robust data pipelines for batch and streaming workloads, ensuring high data quality, reliability, and observability across cloud and on‑prem platforms., • Model, store, and serve large‑scale datasets optimised for analytics, machine learning, and low‑latency consumption by AI‑driven trading systems., • Build and optimise real‑time and near‑real‑time data pipelines using Databricks and streaming technologies to ingest, process, and serve high‑volume market and trading data at scale., • Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes., • Contribute to best practices for agent‑based system infrastructure and mentor junior engineers when needed., • Work across organisational boundaries and champion modern engineering trends., • Stay ahead of the curve in agent‑based systems, AI infrastructure, and cloud-native tooling., • Architect and develop cutting-edge platform services for AI-driven trading. Tech Stack • Programming: Python, • AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and Databricks, • On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. What we are looking for • 5 – 10 years of experience in data engineering, ideally in platform or infra roles., • Strong programming skills in Python; passion for code quality and testing., • Experience with Databricks or similar tools., • Experience with AWS services (S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, API Gateway, Step Functions, MSK, CloudFormation)., • Experience working in a fast-paced environment in either engineering or analytical roles., • Passion for being hands-on and contributing to a collaborative engineering culture., • Direct Impact: Be part of a team building agent‑based systems that traders and quants use daily to optimise strategies., • Creative Freedom: Open collaboration and the chance to bring your ideas to life., • Visibility: Be a big player in a small, high-impact team with exposure across the organisation. Nice to Have • Experience with on-prem Hadoop and Kubernetes., • Familiarity with AWS cost management and optimisation tools., • Knowledge of front-office developer workflows in financial services.

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!

Role Details • Job Title: IAM Architect, • Work Model: Hybrid ( 2 to 3days), • Location (if hybrid/office based): Leeds/Bradford, • Duration of Assignment: 6 Months Role Description (Please include a brief outline of the impact this role will have, including overview of customer industry and projects, access to cutting-edge technology etc.) We are seeking an experienced IAM Architect with strong expertise across Identity Governance & Administration (IGA) and Privileged Access Management (PAM) to support a major BFSI customer in the UK. The role will be responsible for defining, shaping, and governing the target-state architecture for IGA and PAM capabilities, ensuring alignment with enterprise security strategy, regulatory obligations, and business priorities. The successful candidate will play a key role in security transformation initiatives, driving robust identity governance, privileged access controls, compliance, and risk reduction across a complex regulated environment and implementation. This role requires a strong combination of strategic architecture capability, technical domain depth, and stakeholder management across security, infrastructure, application, risk, audit, and business teams. Key Responsibilities (Up to 10, Avoid repetition), • Define and maintain the target-state architecture for IGA and PAM across workforce, third-party, and privileged identities, • Lead the design of scalable and secure identity controls covering identity lifecycle management, access governance, privileged access, least privilege, and segregation of duties, • Develop architecture principles, standards, policies, patterns, and roadmaps for IGA and PAM transformation programmes, • Provide architectural leadership for onboarding applications, platforms, and infrastructure into IGA and PAM services, • Design and review solutions covering joiner, mover, leaver processes, access requests, approvals, certifications, role modelling, SoD controls, privileged account vaulting, elevation, session management, and break-glass access, • Support product and vendor evaluations, including RFP responses, technical assessments, and solution selection activities, • Ensure all solution designs align with UK BFSI regulatory, risk, audit, and compliance expectations, • Work closely with engineering, operations, security, and business stakeholders to ensure successful delivery and adoption of identity capabilities, • Review current-state IAM controls, identify architectural and control gaps, and recommend improvement opportunities, • Provide design assurance, governance, and sign-off for IGA and PAM initiatives Key Skills / Knowledge / Experience (Up to 10, Avoid repetition), • Proven experience working as an IAM Architect, Security Architect, or similar architecture role in large enterprise environments, • Strong hands-on architectural experience across both IGA and PAM domains, • Demonstrable experience in the Banking, Financial Services and Insurance (BFSI) sector, preferably within the UK Strong understanding of identity governance principles including:, • Joiner, mover, leaver processes, • Access requests and approvals, • Access certifications and recertifications, • Role modelling and role-based access control, • Segregation of duties, • Policy-based access governance Strong understanding of privileged access controls including:, • Privileged account discovery, • Password vaulting, • Privileged session management, • Just-in-time / just-enough access, • Elevation and delegation controls, • Break-glass access, • Service and shared account governance, • Experience designing integrations across on-prem, cloud, hybrid, and SaaS environments, • Good knowledge of identity and security protocols such as SAML, OAuth2, OpenID Connect, LDAP, SCIM, Kerberos, and API-based integrations Experience working with one or more enterprise IGA and PAM solutions such as:, • SailPoint, Saviynt, One Identity, Entra ID Governance, • CyberArk, Delinea, BeyondTrust, One Identity PAM Person Specification Client Facing and Lead for IDAM Workstream. The ideal candidate will be a seasoned IAM professional with deep architecture experience across both governance-led identity controls and privileged access security. They will be comfortable operating in a complex BFSI environment, engaging senior stakeholders, and translating security, risk, and regulatory requirements into practical and scalable architecture outcomes. Lead Implementation E2E and ensure benefits are realised. JBRP1_UKTJ

Job Description: Remember to check your CV before applying Also, ensure you read through all the requirements related to this role. Enterprise Cloud Architect (Contract) Rate: £525 per day (Outside IR35) Location: Flexible (Sheffield / London) Requirement: British Passport and 5+ years UK Residency Role We are looking for a strategic Enterprise Cloud Architect with deep Financial Services experience to lead infrastructure transformation. You will define what good looks like, conduct gap analyses, and produce the architectural blueprints necessary for complex migrations and re-platforming. Key Responsibilities • Infrastructure Strategy: Identify gaps and set the standard for high-level infrastructure decisions., • Design and Documentation: Create detailed architecture diagrams and essential artifacts for technology programs., • Leadership: Lead a technical team to deliver outputs for migrations and digital transformations., • Proven background in Financial Services., • Strong experience in migrations, re-platforming, and transformation. Talent International UK and it's subsidiaries, Digital Gurus, Infinite Talent and Rethink act as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this opportunity, you accept the TandC's, Privacy Policy and Disclaimers which can be

We are looking for a highly accomplished Senior Oracle Cloud Architect to join our growing team and play a pivotal role in shaping enterprise-scale Oracle Cloud Infrastructure (OCI) environments. We’re seeking a strategic technical leader — someone who can design complex, secure, multi-region OC

A leading regulatory body is seeking a Cyber Security Product Architect to shape product roadmaps and ensure technology resilience. This role requires significant experience in cloud infrastructure and cybersecurity, along with strong capabilities in delivering architecture solutions. The position o