Lead Data Governance Analyst Salary up to £80,000 plus benefits Location Hampshire with hybrid working Permanent full time We are looking for an experienced Metadata Lead to own and drive an enterprise metadata strategy. You will lead the roadmap for metadata capabilities, working with Collibra and Databricks Unity Catalog to improve data governance, data quality, cataloguing and lineage across the organisation. This role requires strong stakeholder management, delivery leadership and the ability to translate technical solutions into business value. Experience with Collibra, Unity Catalog, metadata management and data governance is essential. Please note that visa sponsorship is not available for this position. Key Skills #MetadataManagement #DataGovernance #DataQuality #Collibra #UnityCatalog #Databricks #DataCatalog #DataLineage #DataStrategy #EnterpriseData #StakeholderManagement #AgileDelivery #DataArchitecture #RegulatoryCompliance #GDPR #BusinessIntelligence

Metadata Lead

DevOps Patch Engineer 6-month contract Market rate Hybrid working Client location: Belgium We're looking for an experienced DevOps Patch Engineer to support the automation and delivery of patch management across enterprise infrastructure and business-critical applications. You'll own the end-to-end patch lifecycle, working with security, infrastructure and application teams to automate, test, deploy and validate security patches while driving DevOps best practices. You'll also act as the technical liaison for key stakeholders, translating requirements into delivery plans and coordinating successful implementation. Key Responsibilities <ul><li>Manage the end-to-end patch management lifecycle across servers, endpoints, cloud and enterprise applications.</li><li>Design and automate patch deployment and remediation using PowerShell, GitHub and CI/CD pipelines.</li><li>Coordinate monthly and emergency security patching activities.</li><li>Build and maintain GitHub repositories, GitHub Actions workflows and deployment pipelines.</li><li>Automate testing, validation, rollback and compliance reporting.</li><li>Support patching for enterprise applications including Microsoft Sentinel, Dynatrace, Power BI, SWIFT, Blue Prism and other critical platforms.</li><li>Drive continuous improvement and DevSecOps best practices.</li></ul>Required Skills & Experience <ul><li>Strong experience with enterprise patch and vulnerability management.</li><li>Advanced PowerShell scripting and automation.</li><li>Hands-on experience with GitHub, GitHub Actions and CI/CD pipelines.</li><li>Experience with Windows Server and Linux environments.</li><li>Knowledge of Azure, AWS and/or Google Cloud.</li><li>Familiarity with Microsoft Sentinel, Dynatrace and security compliance reporting.</li><li>Excellent stakeholder management and communication skills.</li></ul>

DevOps Patch Engineer

Applied Scientist | LLM Benchmarking | Berlin / Munich / Remote in Germany Confidential search for a fast-growing, Series C agentic AI company building conversational AI for global enterprise brands. This isn't a research seat and it isn't a data analytics role. You'd own prompt optimisation and LLM benchmarking end to end: building the evaluation framework that decides which models the company adopts, comparing quality against latency across real production use cases, and generalising that framework so it can eventually judge any model, not just the ones already wired into the product. Six months from now, the ambition is for this to be a benchmark other companies reference. What you'll do <ul><li>Improve and optimise prompts for real production use cases and agent workflows, systematically evaluating performance across different prompting strategies and models.</li><li>Build and maintain benchmarking scenarios that evaluate models (Gemini, GPT-class systems, and whatever comes next) against task performance, end-to-end system integration, latency, and quality.</li><li>Assess new model releases as they land, validate them against our performance and latency requirements, and give data-driven recommendations on whether we adopt them.</li><li>Design and evolve a generalised evaluation framework, starting from our current benchmarking tooling and gradually decoupling it from our core agent system so it can assess any model, including ones we haven't integrated yet.</li><li>Work closely with our agent and platform engineering teams to turn findings into production changes.</li><li>Track quality and latency trends across model versions over time.</li></ul> What you'll need: <ul><li>Strong Python</li><li>Hands on experience with LLMs and prompt engineering</li><li>A real understanding of benchmarking and evaluation methodology</li><li>Systems thinking, you'll be building tooling, not running one off notebooks</li></ul>Research background is a plus, so is experience comparing models at scale. Not a fit if you're a pure analyst or a theoretical researcher who hasn't shipped to production. Berlin or Munich preferred, remote within Germany considered.

Principal Applied Scientist

Tomoro AI – Applied AI Solution Engineer 
Description 
About Tomoro 
Tomoro enables organisations to realise competitive advantage with the power of Generative AI. We work with large corporate clients to create meaningful AI strategies, build production-ready AI solutions and effectively integrate those solutions in their businesses. 
Our alliance with OpenAI and NVIDIA (among others) enables us to lead the industry in building valuable, scalable, enterprise-ready solutions for businesses. We’re driven by applied R&D, prototyping and AI innovation. Our client teams are focused on tackling the most challenging aspects of applied AI in the enterprise sector directly with clients. 
About the role 
Applied AI solution engineers are expected to work in small teams of Tomoro and client engineers to design, build and deploy AI applications, such as agents built around Large Language Models. As your experience and expertise in the role grows, this may extend to leading these teams, owning solutions end-to-end and advising clients in this space. The typical applications we build use existing closed or open-source foundational models, potentially with some fine tuning. We generally do not need to train our own foundational models from scratch. 
Requirements 
Responsibilities 
The examples describe the types of responsibilities senior AI solution engineers at Tomoro will have. 
We do not expect every successful candidate to have experience in all of these areas. We encourage you to apply if the role excites you and you believe you can demonstrate a combination of the following capabilities. 
Visionary Leadership in Solution Development: 
As a Senior AI Solution Engineer, you’ll be setting the vision for cutting-edge AI solutions and products. You'll own the delivery process from idea generation to deployment, ensuring that our AI-powered solutions are not only innovative but also aligned with our clients' strategic objectives. 
Advanced Analytical Problem-Solving: 
Your role involves a deep analytical approach to problem-solving. You will be responsible for breaking down complex challenges into manageable plans, making critical decisions that shape the direction of projects. 
Expertise in AI Application Development: 
With your strong background in designing, developing, testing, and deploying data and AI applications at an enterprise scale, you will provide technical leadership in building robust, efficient solutions that drive business transformation. 
Hands-on Development and Team Oversight: 
You will be comfortable with being both hands-on with coding and providing technical leadership and delivery oversight to teams of engineers. Your role balances the technical aspects of AI solution engineering with the leadership and guidance necessary to drive team success. 
Code Review and Mentorship: 
As a senior figure, you will manage and coach teams of engineers, fostering an environment of learning and growth, while providing critical feedback and ensuring the highest quality of code. Your guidance will be instrumental in developing the next generation of AI talent within Tomoro. 
Technical Stewardship across a Portfolio of Projects: 
You will work across multiple accounts or projects simultaneously, amplifying your impact through effective team leadership. Your ability to juggle various responsibilities will be key to the success of our projects. 
Contribution to Tomoro R&D product & asset development: 
Your role involves working within our R&D team contributing reusable assets to our core code repositories, thereby enhancing our collective knowledge base and technical capabilities. 
Senior Client Communication: 
Communicating with senior business and technical clients is a key part of your role. You will be responsible for explaining complex AI approaches, demonstrating solutions, and building strong, trusting relationships with our clients. 
Indicators you’ll be a good fit 
Background in software development: 
You have 5+ years of experience in developing software solutions for enterprise. 
Strong experience leading the design and development of production-grade solutions in enterprise, involving: 
• Python applications and data processing 
• Building microservices 
• Large scale stateful distributed systems 
• Large language models 
Strategic thinker and team leader:  
You are on the journey from being a strong individual contributor to managing and leading teams. You can demonstrate successful experience in both hands-on engineering and owning outcomes from inception to completion. You are comfortable setting out a vision for a solution, planning out tasks, managing teams and taking decisions. You are passionate and positive and can inspire and motivate teams to come together deliver in challenging 
Standard setter: 
You set high standards of technical excellence for yourself and your teams, providing guidance, identifying areas for improvement, and constantly striving towards better coding practices. circumstances. 
Effective communicator: 
You are comfortable explaining concepts and approaches to senior business leaders and both technical and non-technical audiences. 
Coach, mentor and educator: 
You have a history of supporting the professional development of engineers, creating a supportive environment which encourages learning and growth. 
You are committed to sharing knowledge and driving collective improvement across Tomoro and our clients’ organisations. 
“Multi-threaded” operator: 
At this stage of Tomoro’s journey, we often need our senior team members to contribute to or oversee multiple projects at the same time. Your ability to balance your time and focus across a portfolio will be important for you to succeed. 
Innovator and thought leader: 
You proactively stay up to date with the latest developments in AI technology, connecting the dots and devising ways to apply new tools and techniques to real world problems faced by Tomoro and our clients. You contribute to the organisation’s knowledge base and assets and are developing a reputation in the market for your insights and expertise. 
Benefits 
Package 
• Holiday entitlement of 25 days + bank holidays 
• Aviva Private medical insurance 
• Medicash wellness cash plan (helps to cover your everyday healthcare needs) 
• Life Policy 
• Employee Assistance Programme (access to 24/7 helpline for in-the-moment support from qualified BACP counsellors) 
• Company pension 
• Access to exclusive discount platform 
• Career Coach 
Location 
Hybrid working policy. May need to be flexible to travel to client offices as part of project work.

Senior AI Engineer

​Shakir joined Xcede in 2020, he is a skilled Senior Consultant with a demonstrated history of working in the staffing and recruiting industry across the IT space. As his role is delivery focused, Shakir supports the Xcede team on a variety of urgent roles. His primary focus is on contract technology positions across the UK. 

DevOps Patch Engineer

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Shakir Muhammad

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