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Senior Ops Engineer (Security Ops / GRC) Salary: Up to £65,000 Location: Glasgow or Edinburgh (flexible hybrid working) Lorien is recruiting a Senior Ops Engineer for a fast-growing, regulated fintech organisation operating in the financial services space. This is a high-impact role created to strengthen the link between Security Operations and Governance, Risk & Compliance (GRC), improving audit outcomes and driving pragmatic security improvements across cloud and (to a lesser extent) on‑prem environments. You’ll join the Infrastructure & Support function and work closely with GRC, translating audit findings, vulnerabilities and risk themes into clear, prioritised action plans then driving those actions through to completion with technical teams. What you’ll be doing • Monitor and investigate security events across cloud and internal infrastructure using SIEM/security monitoring tools, distinguishing genuine threats from false positives., • Lead and support incident response activities (containment, remediation, recovery and post-incident reviews)., • Own vulnerability management follow through: track remediation actions, validate fixes, and ensure closure in line with risk appetite., • Improve security controls across IAM, network security, system hardening and vulnerability management (primarily Azure-focused)., • Embed security into Infrastructure‑as‑Code and CI/CD: work within Terraform-managed environments and automated pipelines so security is built in by design., • Support penetration tests and third‑party security assessments, ensuring outcomes translate into completed remediation., • Assist with compliance/assurance activity (e.g., ISO27001, SOC2, GDPR) by producing logs, evidence and documentation., • Act as a confident security advocate in roadmap decisions—able to push back, prioritise critical risk items, and bring stakeholders with you., • Whilst there are no on call, a sensible level of ownership is expected if issues arise. What we’re looking for This role suits someone who can be strategic and hands-on, and who can influence technical teams effectively (collaborative and pragmatic). Essential experience • Security operations experience in a SaaS, cloud or regulated technology environment., • Experience triaging and responding to security alerts using SIEM tooling (Microsoft Sentinel advantageous)., • Strong grounding in Azure security: identity & access management, network security, hardening and vulnerability management., • Experience with vulnerability assessments / penetration testing and driving remediation to closure., • Working knowledge of frameworks such as ISO 27001, SOC 2 and GDPR, with practical experience embedding controls operationally., • Comfortable working in automated environments using Infrastructure‑as‑Code (Terraform) and CI/CD pipelines (Azure DevOps)., • Strong communication skills: able to articulate risk clearly to both technical and non-technical stakeholders. Desirable • Network / firewall knowledge., • Exposure to SIEM tuning, detection engineering or alert optimisation., • Familiarity with Azure-native tooling such as Log Analytics (and related security tooling)., • Experience in fintech/financial services or other regulated environments. Tech environment • Microsoft Azure (identity, networking, monitoring and security services)., • Azure-native logging/monitoring feeding into SIEM tooling., • Terraform Infrastructure‑as‑Code and automated CI/CD pipelines (Azure DevOps)., • Security & compliance tooling supporting vulnerability management and audit readiness. Why join? You’ll have genuine autonomy to shape security operations, improve audit outcomes, and embed practical security controls in a business that is growing and investing in its security maturity.

Job title: Graduate Machine Learning and AI Engineer Location: Edinburgh Hybrid role working 2 days a week in the office Salary: £30,000 to £38,000 Contract: 12-month fixed term contract Our market-leading financial services client is seeking an a motivated, detail focused Graduate Machine Learning and AI Engineer to join the Business Transaction Banking division. This role involves building and optimising agent workflows, integrating LLMs with internal tools/data. Additionally, you will have the opportunity to be involved with model deployment, automation & CI/CD. You will also be deploying these artefacts into Kubernetes pods, ensuring scalability, resilience, and proper resource allocation. Key Responsibilities • Model Deployment: Take trained AI/ML models and package them into deployable artefacts (e.g., Docker images)., • Kubernetes Orchestration: Deploy these artefacts into Kubernetes pods, ensuring scalability, resilience, and proper resource allocation., • Automation & CI/CD: Build pipelines for automated deployment, testing, and monitoring of models., • Environment Management: Handle containerisation (Docker), networking, and configuration for production environments., • Monitoring & Logging: Implement tools to track model performance, resource usage, and system health. Skills and Experience • Have research or practical experience with machine learning engineering and artificial intelligence, • Experience using the following: Python, Kubernetes, Docker., • Experience using CI/CD Tools: Jenkins, GitHub Actions, or Azure DevOps., • Experience using Cloud Platforms: AWS, Azure, or GCP., • Basic Machine Learning Knowledge: Understanding of how models work to troubleshoot deployment issues., • Great attention to detail, • Analytical mindset and uses a methodological approach to complete tasks., • Resilient Confident, professional, and able to work effectively with multiple teams. You will be a valued member of our Adecco Emerging Talent function working onsite with a market-leading organisation, initially, the assignment is 12 months with scope for extension in the future, so you need to be someone with a permanent mindset! If you have the experience and desire to work for a well-respected organisation offering personal and professional support, growth and development, then you could be a perfect fit for the team and we want to hear from you - APPLY NOW. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Adecco Emerging talent is an employment consultancy and operates as an equal opportunities’ employer.

Job Title: AI Infrastructure Architect Location: Edinburgh, Scotland Type: Permanent On-Site Working Required, No Sponsorship Provided Responsibilities: Design a unified AI Infra & Serving architecture platform for composite AI workloads such as LLM Training & Inference, RLHF, Agent, and Multimodal processing. This platform will integrate inference, orchestration, and state management, defining the technical evolution path for Serverless AI + Agentic Serving Design a heterogeneous execution framework across CPU/GPU/NPU for agent memory, tool invocation, and long-running multi-turn conversations and tasks. Build an efficient memory/KV-cache/vector store/logging and state-management subsystem to support agent retrieval, planning, and persistent memory. Build a high-performance Runtime/Framework that defines the next-generation Serverless AI foundation through elastic scaling, cold start optimization, batch processing, function-based inference, request orchestration, dynamic decoupled deployment, and other features to support performance scenarios such as multiple models, multi-tenancy, and high concurrency. Key Requirements: • Strong foundational knowledge in system architecture, or computer architecture, operating systems, and runtime environments;, • Hands-on experience with Serverless architectures and cloud-native optimization technologies such as containers, Kubernetes, service orchestration, and autoscaling, • vLLM, SGLang, Ray Serve, etc.); understand common optimization concepts such as continuous batching, KV-Cache reuse, parallelism, and compression/quantization/distillation, • Proficient in using Profiling/Tracing tools; experienced in analyzing and optimizing system-level bottlenecks regarding GPU utilization, memory/bandwidth, Interconnect Fabric, and network/storage paths, • Proficient in at least one system-level language (e.g., C/C++, Go, Rust) and one scripting language (e.g., Python) If you're interested in applying, please reach out to

Key Responsibilities * Speaking with customers to understand their questions and needs * Handling enquiries across phone, social media and written channels * Logging customer calls and updates accurately on the CRM system * Making sure customers get clear, helpful responses every time

Ready to Lead Oracle ERP Testing at Scale? Join Version 1 as a Test Manager! Are you a detail‑driven Oracle Test Manager with a passion for quality, strategy, and delivery excellence? At. Test design and test execution with test reporting and defect logging processes including coordination between

Administrator - Loanhead - Salary up to £28,000 DOE. The Administrator will support daily operations within the finance/administration team by handling scheduling, task logging, documentation, client and supplier communication, and ensuring financial and compliance records are accurately maintained

You'll be responsible for accurately logging customer inquiries and working collaboratively to improve service.