Urwah Admin

Xcede

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 DevOps Engineer (m/f/d)
 
 
 📍
 
 Dresden, Germany (Hybrid &ndash; 2 days/week on-site)
 
 
 
 
 
 
 The role is under Arbeitnehmeruberlassung contract
 
 
 
 
 
 The role requires business fluency in German and English.
 
 
 
 
 
 Your Responsibilities
 
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 Design, implement, and maintain CI/CD pipelines.
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 Automate infrastructure provisioning and deployment processes.
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 Manage and optimize cloud and on-premise environments.
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 Monitor system performance, reliability, and security.
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 Collaborate with software development teams to improve deployment and release processes.
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 Troubleshoot infrastructure and application issues while driving continuous improvement.
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 Promote DevOps best practices across development teams.
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 Your Profile
 
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 Experience as a DevOps Engineer, Cloud Engineer, or similar role.
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 Strong knowledge of CI/CD tools (e.g., GitLab CI/CD, Jenkins, Azure DevOps).
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 Experience with Docker, Kubernetes, and Infrastructure as Code (Terraform, Ansible, or similar).
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 Good understanding of Linux, scripting (Bash, Python), and version control (Git).
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 Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is an advantage.
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 Experience working in Agile/Scrum environments.
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 Fluent German (minimum B2/C1) and good English communication skills are required.
 
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</div>

DevOps Engineer

<div>
 
 
 AI Engineer/Developer
 
 
 
 
 Salary: &pound;35-45k
 
 
 
 
 Location: North London (4 days in the office &amp; 1 day working from home)
 
 
 
 
 No Sponsorship available
 
 
 
 
 
 
 
 
 THE COMPANY
 
 
 
 
 I am working with a specialist UK property acquisition and development company - acquiring and developing assets across a variety of sectors. They work at the intersection of data, technology, and real estate, using proprietary tooling to find and execute the right deals faster than anyone else in the market.
 
 
 
 
 
 Our Innovation &amp; AI function was built from scratch and sits at the heart of how the business operates. It's a small, high-impact team that has already made a measurable difference - now they need to grow it.
 
 
 
 
 
 
 
 WHY THE ROLE EXISTS
 
 
 
 
 The Innovation &amp; AI Lead has built a strong technical foundation and a pipeline of ambitious projects. The team and the business want to move faster, and more ideas are coming than one person can deliver. This hire is about giving that function the engineering firepower to scale - and making sure the AI Lead doesn't become the bottleneck.
 
 
 
 
 
 
 
 WHAT YOU'LL ACTUALLY DO
 
 
 
 
 This is a hands-on Python engineering role. The work is real, commercially meaningful, and genuinely interesting. Projects in flight and on the roadmap include:
 
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 A property scoring model - using machine learning to grade acquisition opportunities based on multiple data points: demographics, planning classification codes, textual property data (via LLM), and satellite imagery. The goal is to help the team triage a high volume of on-market properties intelligently.
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 An early-warning intelligence pipeline - monitoring local news sources, surfacing opportunities before they reach the open market.
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 Contact enrichment and GTM tooling - building pipelines to find and qualify operators across target sectors, using tools like Clay and custom data ingestion workflows.
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 LLM and LangChain pipelines - filtering, analysing, and enriching property and operator data at scale.
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 Salesforce development and integration - the business runs a heavily bespoke Salesforce instance (not standard objects) and needs someone who can use AI-assisted development to reduce reliance on expensive external developers.
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 Azure infrastructure - storage, Functions, and supporting cloud architecture for the above.
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 WHAT WE'RE LOOKING FOR
 
 
 
 
 
 Essential
 
 
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 Strong Python - clean, production-ready code you can own end-to-end
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 Hands-on experience with LLMs - prompt engineering, RAG, agents, LangChain, tool use
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 Solid data instincts - SQL or equivalent, pipeline design, data modelling
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 Comfortable working with APIs - REST, webhooks, OAuth, third-party integrations
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 Self-directed - you ship, iterate, take ownership, and communicate clearly to non-technical stakeholders
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 Some commercial experience - at least 6 months to a year in a professional environment (recent graduates with strong placement/internship experience considered)
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 Desirable
 
 
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 Machine learning model development - classification, scoring models
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 Salesforce - even at the level of being comfortable using AI tools to develop in Apex
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 GTM engineering tools - Clay, n8n, Make, or similar
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 Proptech or real estate sector exposure
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 Familiarity with Microsoft Power Platform
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</div>

AI Engineer

<div>
 
 
 
 Senior AI Engineer
 
 
 
 
 
 London (Hybrid, typically 1 day per week, but this will occasionally vary slightly)
 
 
 
 
 
 
 
 
 Opportunities at this level in AI are exceptionally rare. Join one of the true global leaders in the space.
 
 
 
 
 
 
 
 We&rsquo;re lucky enough to be partnering with one of the world's leaders in Applied AI. They're building the most important solutions at the forefront of commercial Generative AI deployment and answering the global demand for useful, tangible AI products.
 
 
 
 
 
 The business designs and delivers production-grade AI systems for large, market-leading clients across various industries, including financial services, retail, healthcare, travel, gaming, and critical infrastructure. Their teams work directly with globally recognised brands to build scalable AI applications that solve real operational problems, not proof-of-concept demos.
 
 
 
 
 
 This is a highly technical, engineering-led environment focused on shipping real-world AI systems into production. The culture is fast-moving, collaborative, and deeply product-minded, with strong emphasis on ownership, experimentation, and engineering quality.
 
 
 
 
 
 The company is entering a major phase of international growth and investment, with significant backing, ambitious hiring plans, and access to some of the most advanced AI capabilities currently available in the market.
 
 
 
 
 
 
 The Role
 
 
 
 As a Senior AI Engineer, you&rsquo;ll work within small, high-performing delivery teams designing, building, and deploying enterprise-grade AI applications powered by Large Language Models and modern AI tooling.
 
 
 
 
 
 You&rsquo;ll operate across the full delivery lifecycle from solution architecture and orchestration through to deployment, optimisation, monitoring, and client adoption. Projects are highly hands-on and often involve agentic systems, retrieval architectures, multimodal workflows, and real-time AI applications deployed into complex enterprise environments.
 
 
 
 
 
 This role combines strong software engineering with applied AI delivery. You&rsquo;ll be expected to contribute technically, communicate directly with clients, and help shape engineering best practices internally.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
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 Design and build production-grade AI applications using LLMs and modern AI frameworks
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 Develop scalable backend systems, APIs, orchestration layers, and microservices to support enterprise AI deployments.
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 Work across the full AI lifecycle including architecture, deployment, monitoring, evaluation, optimisation, and maintenance
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 Build and deploy agentic workflows, RAG systems, multimodal applications, and AI-powered automation tools
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 Collaborate directly with enterprise stakeholders to understand business problems and translate them into technical solutions
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 Contribute to technical leadership across projects, including mentoring engineers and improving internal engineering standards
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 Work closely with cross-functional teams across engineering, product, delivery, and client environments
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 What We&rsquo;re Looking For
 
 
 
 
 
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 Strong software engineering foundations, particularly in Python
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 Experience building and deploying production AI/ML systems in enterprise environments
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 Hands-on experience with Large Language Models and modern AI application architectures
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 Strong understanding of backend engineering, APIs, microservices, distributed systems, and cloud-native development
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 Experience with technologies/frameworks such as LangChain, LangGraph, vector databases, Docker, Kubernetes, Azure, AWS, or GCP
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 Ability to design scalable, maintainable systems with strong engineering and operational awareness
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 Strong communication skills and confidence operating in client-facing environments
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 Comfortable working in fast-paced, high-ownership engineering teams
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 Experience across the full lifecycle of AI delivery from ideation through to production deployment is highly desirable
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 Desirable Experience
 
 
 
 
 
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 Agentic AI systems and orchestration frameworks
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 RAG architectures and evaluation frameworks
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 Real-time or voice-enabled AI systems
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 Production monitoring, guardrails, latency optimisation, and cost optimisation
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 Previous experience in consulting or highly collaborative delivery-focused environments
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 If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
 
</div>

Senior AI Engineer

<div>
 
 Leading Privately Held Financial Services Firm - Office &amp; Reception Manager &ndash; NYC
 
 
 
 
 
 We are seeking a highly polished &amp; organized Office &amp; Reception Manager to oversee day-to-day office operations and front desk management for a Leading Privately Held Financial Services Firm in their New York location.
 
 
 
 
 
 You would be supporting their Professional Services and Capital Solutions groups across two floors, ensuring a client-ready office environment, seamless visitor experience, and strong operational execution. You would lead office remodeling projects, furniture procurement, and vendor management to maintain a premium workplace experience.
 
 
 
 
 
 Overview:
 
 
 &bull; Manage front desk operations including visitor experience, guest registration, mail/package handling, and phone/email routing.
 
 
 &bull; Own daily facilities operations across two floors, maintaining a professional, clean, and fully functional office environment.
 
 
 &bull; Serve as primary liaison with building management and coordinate service requests, repairs, and maintenance.
 
 
 &bull; Oversee conference room readiness, meeting setup, catering coordination, and hospitality support for client-facing meetings.
 
 
 &bull; Manage office vendors (cleaning, pantry, catering, maintenance, security, supplies) and monitor service quality.
 
 
 &bull; Lead office remodeling, refresh, and improvement projects including planning, vendor sourcing, project coordination &amp; execution.
 
 
 &bull; Manage office furniture purchasing, including vendor selection, ordering, delivery coordination, and workspace setup.
 
 
 &bull; Support space planning, seating assignments, office moves, onboarding desk setup, and badge/access coordination.
 
 
 &bull; Partner with Finance/AP to manage invoices, purchase requests, and budget tracking for facilities and office operations.
 
 
 
 
 
 It is an established organization which is experiencing significant growth which offer competitive benefits &amp; growth potential.
 
 
 
</div>

Office Manager

Join Xcede and explore 4   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Xcede

About Company

DevOps Engineer

AI Engineer

Senior AI Engineer

Office Manager