Azure engineer jobs in United Kingdom - Page 4

.NET Engineer | London (Hybrid/Onsite) | £50,000-£70,000 + Package & Bens We’re working with a growing organisation undergoing a significant digital transformation, and they’re looking to hire an .NET Engineer to support the development of scalable, high-quality backend systems. This is a hands-on role within a collaborative engineering team, focused on building and supporting integration services that connect internal platforms and third-party systems. The Opportunity You’ll play a key role in designing, developing, and maintaining backend services and APIs, contributing to the delivery of reliable and scalable digital products. Working closely with engineers, product teams, and stakeholders, you’ll help ensure seamless integration across a modern technology landscape. Key Responsibilities • Design, build, and maintain backend services, APIs, and integration solutions, • Develop using C#, .NET, Azure, and event-driven/API-led architectures, • Contribute to code quality through reviews and best engineering practices, • Support system performance, reliability, and maintainability improvements, • Troubleshoot integration and performance issues across distributed systems, • Contribute to CI/CD pipelines, testing, and release processes, • Collaborate with cross-functional teams to deliver end-to-end solutions What We’re Looking For • 3+ years of software engineering experience, with backend and integration exposure, • Strong experience with C#, .NET, and Azure cloud services, • Experience building RESTful APIs and working with integration patterns, • Solid understanding of clean code, testing, and software development best practices, • Exposure to CI/CD, monitoring, and modern delivery approaches, • Strong problem-solving and communication skills Nice to Have • Experience with Azure integration services (Service Bus, Functions, Event Grid), • Familiarity with Kafka, RabbitMQ, or similar messaging systems, • Experience working on digital platforms or mobile-backed systems, • Understanding of Agile/Scrum environments Why Apply? • Opportunity to work on scalable, business-critical systems, • Collaborative and supportive engineering culture, • Exposure to modern technologies and integration patterns, • Clear opportunity for growth and development If you’re an engineer looking to deepen your experience in backend development and integrations within a modern cloud environment, we’d be keen to speak. .NET Engineer | London (Hybrid/Onsite) | £50,000-£70,000 + Package & Bens

I am hiring for Modern Workplace Engineer - (Microsoft 365/SharePoint/Intune/Jamf/PowerShell/Agile) Location: London, UK (Hybrid – 3 days onsite/week) Job Description: • Manage and support MS365 environment including Teams, Exchange Online, SharePoint, OneDrive, • Administer endpoint and device management using Intune, Jamf, and endpoint security tools, • Develop and implement automation solutions using PowerShell, PowerApps, GraphAPI, Python, • Handle identity and access management with Entra ID (Azure AD) and security tools like Defender XDR, • Contribute to solution design, development, and governance, ensuring alignment with technical standards, • Collaborate with stakeholders using Agile methodologies, ensuring high-quality, customer-focused delivery Key Skills: Microsoft 365, SharePoint, OneDrive, Teams, Exchange Online, Intune, Jamf, PowerShell, PowerApps, GraphAPI, Python, Entra ID, Azure AD, Defender XDR, Cloud, SaaS, PaaS, Jira, Confluence, Agile

Senior GenAI Platform Engineer / Senior AI/ML Platform Engineer Hybrid – London A rapidly scaling AI innovator is searching for an exceptional Senior GenAI / AI‑ML Platform Engineer to play a pivotal role in shaping and advancing their next‑generation intelligence platform. This organisation is building high‑performance, real‑time AI systems that support demanding financial and enterprise clients globally, and this position sits at the heart of their most advanced technical developments. The Role As a senior member of the platform engineering team, you will architect, build, and optimise the underlying infrastructure that powers cutting‑edge GenAI and machine learning workloads. This includes large‑scale model deployment, distributed systems design, high‑throughput data processing, and the creation of robust frameworks that enable rapid experimentation, safe iteration, and reliable productionisation of LLM‑ and ML‑driven features. This role is ideal for someone who thrives in fast‑moving environments, enjoys deep technical problem‑solving, and wants their work to have immediate real‑world impact. Responsibilities • Design and build scalable, production‑grade GenAI and ML platform components, • Develop infrastructure for training, fine‑tuning, evaluating, and deploying large models, • Create internal tooling enabling fast model experimentation and automated workflows, • Optimise and scale distributed systems and vector‑driven architectures, • Implement robust observability, reliability, and performance engineering practices, • Collaborate closely with data scientists, ML engineers, and product teams, • Champion platform best practices, architectural improvements, and automation What You’ll Bring • Extensive experience building and deploying distributed ML or LLM systems, • Expertise in Python, cloud platforms (AWS/GCP/Azure), and Kubernetes, • Strong knowledge of MLOps, model orchestration, and CI/CD for AI systems, • Background in embeddings, vector databases, LLM fine‑tuning, or inference optimisation, • Ability to balance high‑level architectural thinking with hands‑on engineering, • A mindset focused on performance, reliability, and scalability What’s On Offer • A chance to help define the technical direction of a rapidly growing AI product, • Complex technical challenges with direct impact, • Hybrid London working f you enjoy solving deep technical problems and want to build the infrastructure behind next‑generation AI intelligence systems, this is an opportunity worth exploring.

Junior Data Engineer – Databricks Location: London (Hybrid – 3 days office) Salary: Up to £56,000 + Benefits Job Description We are looking for a Junior Data Engineer to join our client's data team in London. This role is ideal for someone with around 2 years of Data Engineering experience and strong experience with Databricks, Python, SQL, and PySpark. You will be working on building and maintaining data pipelines, transforming data, and supporting analytics and reporting across the business. Responsibilities • Build and maintain data pipelines using Databricks, • Work with large datasets using Python, SQL, and PySpark, • Develop and optimize ETL processes, • Work with Azure / cloud data platforms, • Support data integration and data quality processes, • Collaborate with data analysts and business teams Requirements • Minimum 2 years of experience in Data Engineering, • Strong experience with Databricks (Must Have), • Good knowledge of Python and SQL, • Experience with PySpark / Spark, • Experience with Azure or cloud platforms (nice to have), • Based in London or able to commute (3 days per week) Salary & Benefits • Up to £56,000 base salary, • Hybrid working (3 days in office), • Standard company benefits, • Opportunity to grow into a mid-level Data Engineer role Apply Now or Send your CV to

Lead AI Engineer - London £110,000 + bonus + additional package 3 days onsite, 2 days WFH - Central London We’re supporting a global leader at the forefront of applied AI, working in close partnership with some of the world’s leading AI labs. Responsibilities: • Lead the design and build production-grade systems using LLMs, • Working across RAG pipelines, vector databases, and agentic workflows, • Take AI from concept to real-world impact across industries like financial services, energy, and healthcare, • Liaise with stakeholders internally and externally to understand business problems and translate into technical solutions Requirements: • Proven experience building applications with LLM APIs, with a strong understanding of their real-world capabilities, limitations, and failure modes, • Hands-on experience implementing RAG architectures, vector databases, knowledge graphs, and effective prompt/context engineering, • Experience designing and developing multi-step LLM workflows and agent-based systems, • Strong programming skills (Python preferred) with experience building production-grade APIs and services, • Experience working with cloud platforms (AWS, Azure, or GCP) and deploying systems into production £110,000 + bonus + additional package 3 days onsite, 2 days WFH - Central London Lead AI Engineer - London

Job Ref :- 843 | Google Cloud Engineer (Azure | GCP Hybrid | Outside IR35) Apply via LinkedIn or Email your CV to :- About the Role We’re looking for an experienced and hands-on Google Cloud Engineer to join our Cloud Engineering team. This role is ideal for someone who enjoys building scalable cloud platforms, automating everything possible, and working closely with both engineering and business stakeholders. You’ll play a key role in delivering a strategic platform on Google Cloud Platform (GCP) that supports the organisation’s long-term digital vision. As part of a high-performing cloud team, you’ll help shape the platform roadmap, introduce new cloud capabilities, and design enterprise-grade solutions that are secure, resilient, and cost-efficient. This is an end-to-end engineering role with real ownership and impact. Responsibilities • Contribute to and help shape the GCP cloud strategy and technology roadmap, • Identify opportunities to leverage new GCP features and managed services, • Design, build, and release secure, scalable, enterprise-class cloud solutions, • Work closely with cross-functional engineering teams and business stakeholders, • Build and maintain Infrastructure as Code and CI/CD pipelines, • Ensure services are resilient, highly available, and optimised for performance and cost, • Operate effectively within an enterprise governance and security framework Qualifications Essential Skills & Experience • Strong scripting skills in Bash, Python, or Groovy, • Hands-on experience with Google Cloud SDK for automation and API integration, • Proven experience delivering Infrastructure as Code using Terraform / Terraform Cloud, • CI/CD pipeline experience, including working with and extending Jenkins, • Solid practical experience with Kubernetes, • Experience across a broad range of GCP services, • Source control using Git / GitHub, • Comfortable working with and processing JSON and YAML, • Strong understanding of cloud security principles and best practices, • GCP Associate Cloud Engineer certification (or equivalent practical experience) Required Skills • Programming experience in Go (Golang), • Experience with modern CI/CD tooling such as GitHub Actions, Backstage, or Harness, • GCP Professional-level certifications (Cloud Architect, DevOps Engineer, Network Engineer, or Security Engineer), • AWS Professional certifications (Security or Advanced Networking), • Azure DevOps Engineer certification, • Experience with service mesh technologies (preferably Istio) Equal Opportunity Statement

Ops Support Engineer - £40K - Professional Services Our client is one of the country’s leading professional services companies, based in the City of London with (2 days a week) hybrid working. Within their growing Digital team they’re looking to hire a Support Engineer. You’ll work across operational support, the Helpdesk and closely with the Platform team, supporting production services. You’ll be key in the day-to-day operational health of the Digital team’s products and work will cover monitoring, incident management and resolution and end user support. Requirements: • Experience of operational support, helpdesk and / or platform, ideally, • supporting production software, • Experience of Jira, Slack and Freshdesk, • Knowledge of AuthO, Azure and Google Workspace, • Good understanding of web applications and Cloud, • Good communication and interpersonal skills

About the role As a Platform Engineer, you will play a key role in ensuring the reliability, scalability, and performance of Prism products and supporting infrastructure in Azure. This is a hands-on role where you’ll implement and optimize platform services, CI/CD pipelines, and deployment processes for enterprise-grade applications. The Platform Engineer should be a can-do, high-achieving individual with strong product and domain expertise, who thrives on collaboration and has experience building secure, resilient cloud infrastructure. You’ll champion engineering excellence and automation, foster best practices, and bring a genuine passion for technology and continuous improvement to everything you do. Location: Uxbridge, Skipton or London (England, UK) Permanent, Hybrid working model. Your responsibilities • Development and maintenance of Azure infrastructure using best tools and practices., • Design and configuration of CI/CD pipelines, containers, virtual networks, and monitoring dashboards., • Design and implementation of Infrastructure as Code (IaC) scripts for multi-tenant setups., • Performance monitoring and optimization of Azure resources, including cost and performance advice., • Implementation of governance policies: Azure AD, security, virtual networks, etc., • Collaboration with development, test, and Scrum teams to ensure quality and timely delivery. Your skills • 4+ years of experience in delivering fast paced and agile system Engineering ideally in regulated FinTech or payments/banking/wealth., • Excellent knowledge of Azure Cloud, Azure AD, and security in Azure., • Proficient in Infrastructure as Code (IaC) practices and tools (Terraform)., • Strong advocate of CI/CD methodologies, familiar with the Azure DevOps stack., • Deep understanding of cloud artefacts/tools: containers, API management, event bus, app services, monitoring, etc., • Standardized logging/metrics/tracing (OpenTelemetry, Prometheus/Grafana); built comprehensive dashboards and runbooks., • Proven track record of building high-performing and reliable infrastructures. Success Metrics (what you will be measured on) • DORA: Lead time, Deployment frequency, Change failure rate, MTTR., • Reliability: SLO attainment (%), incident rate and severity mix, mean time to detect (MTTD)., • Quality: Escaped defects, defect density, automated test coverage, flaky test rate., • Security/Compliance: Vulnerability SLA adherence, audit/control pass rate., • Cost & Efficiency: Cloud unit economics, cost-to-serve, build time, onboarding time to first PR. Pepper Advantage’s values and culture Our mission is to help people succeed. Our clients, our customers, our employees. Our Values are ‘Can do’, ‘Balanced’ and ‘Real’. Pepper Advantage’s values support our vision, shape our culture and define how we interact with other employees and the attitudes we adopt towards our customers and clients. The values of Pepper Advantage support the organisation’s mission statement. Pepper Advantage’s unique outcome focused corporate culture aims to deliver fairness and value for clients and customers, consistently exceeding expectations in all measurable performance areas. Pepper Advantage is an equal opportunities employer. Role profiles are subject to change in line with business needs.

We are seeking a Senior Software Engineer to join a growing engineering team and help build scalable software systems that support cutting-edge research in biotechnology and life sciences. You will play a key role in designing and developing platforms that enable scientists, data engineers, and bioinformaticians to analyze complex biological data, accelerate drug discovery, and improve clinical research workflows. This role combines strong backend engineering, cloud infrastructure and data engineering, with an interest in working alongside scientists and research teams. Key Responsibilities • Design and develop scalable backend systems and APIs for scientific and clinical data platforms, • Build and maintain data pipelines for large biological and research datasets, • Collaborate with scientists, bioinformaticians, and data teams to translate research needs into software solutions, • Contribute to cloud infrastructure, system architecture, and performance optimisation, • Ensure high-quality code, testing, and CI/CD best practices, • Mentor junior engineers and support technical decision-making Required Skills & Experience • Strong programming experience in Python, Java, or Go, • Experience building backend services, APIs, and distributed systems, • Strong knowledge of cloud platforms (AWS, GCP, or Azure), • Experience with containerisation and orchestration (Docker, Kubernetes), • Experience with CI/CD pipelines and DevOps practices, • Strong understanding of databases and data pipelines (SQL, NoSQL, ETL systems), • Experience working with large-scale datasets

Are you passionate about building real, production‑grade AI systems—not just prototypes or research models? We’re partnering with a fast‑growing, well‑funded AI‑native consultancy that delivers enterprise‑scale AI solutions to major organisations across Financial Services, Energy, Healthcare, Retail, and Manufacturing. Working alongside global partners such as Anthropic, Databricks, AWS, OpenAI, and Microsoft, the team focuses on designing and deploying advanced AI systems that solve complex real‑world problems with speed, clarity, and measurable impact. As part of their expansion, we are looking for experienced AI Engineers who can build robust, scalable applications powered by large language models. The Role As an AI Engineer, you will design, build, and deploy production‑grade LLM‑powered systems. This role sits at the intersection of software engineering, AI implementation, and agentic orchestration. You will work on: • Multi‑agent architectures, • Intelligent tool and API integrations, • RAG pipelines and vector‑based retrieval, • Evaluation frameworks and AI observability Key Responsibilities • Build production AI systems using LLMs, RAG pipelines, vector databases, and agentic frameworks, • Design evaluation and observability frameworks to measure performance, accuracy, and reliability, • Develop clean, scalable applications with proper error handling, APIs, and data pipelines, • Implement and maintain retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, advanced retrieval methods such as HyDE), • Integrate feedback loops to improve system behaviour over time, • Craft effective prompts and optimise latency, cost, and output quality across multiple model providers, • Hands‑on experience building applications using LLM APIs, • Deep understanding of model capabilities, limitations, and failure modes, • Practical experience with RAG, vector databases, knowledge graphs, and prompt engineering, • Experience building multi‑step LLM workflows and agentic systems (e.g. LangChain, LangGraph, Claude Agents SDK, Strands, or custom frameworks), • Strong proficiency in Python (or similar language) and developing production APIs/services, • Cloud experience with AWS, GCP or Azure, • Solid understanding of distributed systems, CI/CD, testing frameworks, and deployment pipelines, • Experience designing or operating cloud‑native, production‑grade infrastructure, • Strong data manipulation skills (Pandas, SQL), • Experience with AI‑assisted coding (Claude Code, GitHub Copilot, etc.), • Experience fine‑tuning LLMs or deciding when to use fine‑tuning vs RAG/prompting, • Exposure to streaming, multimodal models, or search technologies (Elasticsearch, etc.), • Familiarity with observability tools (LangSmith, Weights & Biases), • Experience in regulated or industry‑specific environments (finance, energy, healthcare, legal, retail), • A fast‑growing organisation with significant opportunities for career progression, • Highly competitive salary + bonus, • A collaborative, engineering‑driven culture where you’ll make an impact from day one, • Financially strong, well‑backed business with global expansion plans, • Choose your own gear (MacBooks, PCs, accessories), • Dedicated learning & development budget

AWS DevOps Engineer - FX Trading House - Up to £90k - Hybrid, LDN As an AWS DevOps Engineer, you will play a critical role within a fast-paced FX trading house, operating at the intersection of cloud engineering, DevOps excellence, and electronic trading infrastructure. Working in a business specialising in risk management and hedging solutions across foreign exchange and commodity markets, you will architect, automate and optimise a high-availability AWS cloud environment that underpins OTC derivatives trading, brokerage execution, and real-time risk management platforms. This directly enables pricing, execution, and market responsiveness. That underpins an AWS cloud-native electronic FX trading platform, supporting OTC spot, forward, swap, and option trading for institutional clients. The project focuses on modernising and scaling the firm’s FX infrastructure on AWS, enhancing pricing engine performance, liquidity venue connectivity, automated trade capture, and real-time exposure management. In the role of AWS DevOps Engineer, you will design, implement, and manage DevOps-focused Docker containerisation strategies that enable consistent, portable deployment of applications across multiple environments. You will create and integrate hybrid cloud solutions, enabling seamless communication among on-premises infrastructure, the AWS cloud platform, and containerised environments. From an AWS DevOps perspective, you will enhance SQL Server redundancy and resilience by exploring new strategies and leveraging licensing options to improve database performance and availability. This role offers the opportunity to stay up to date with the latest DevOps tools, technologies, and best practices, while influencing the adoption of modern approaches across the business. You will also perform root cause analysis for critical incidents within Docker containers and Kubernetes clusters, implementing preventative measures to strengthen platform stability and reduce future risk. 💸 Salary: Up to £90,000 + Bonus+ Benefits 📍 Hybrid working: 3 days a week in the office, Covent Garden • Strong proficiency with CI/CD pipelines, including tools such as Jenkins, GitLab CI, or Azure DevOps., • Solid understanding of AWS and other cloud platforms (Azure, GCP), containerization (Docker, Kubernetes), and infrastructure as code (Terraform, Ansible, CloudFormation)., • Experience with scripting and automation using Python, Bash, or PowerShell, and familiarity with configuration management., • Proven expertise in monitoring, logging, and alerting systems (Prometheus, Grafana, ELK stack), with the ability to optimise system reliability and performance., • Deep knowledge of version control best practices, release management, and AWS DevOps principles in a fast-paced environment. If you are interested in applying for this AWS DevOps Engineer role, please send your latest cv to or send via this advert AWS DevOps Engineer - FX Trading House - Up to £90k - Hybrid, LDN

2nd /3rd Line EUC Engineer £40,000 - £45,000 depending on experience Central London Hybrid working (1 day a week wfh) This is a really exciting role for an ambitious 2nd / 3rd line engineer who wants to join an innovative Managed Service Provider and be at the forefront of providing excellent IT support and consultancy. You’ll support a diverse client base across the non-profit, finance, media and technology sectors. You’ll play a key part within the Technical Operations team, taking ownership of complex 2nd and 3rd line issues across Apple and Windows estates. You’ll work with enterprise-grade tooling - including Jamf Pro, Microsoft Intune, Entra ID and Microsoft 365 - while contributing to automation, documentation and build processes. This role offers variety, autonomy and exposure to multiple client environments, giving you the chance to broaden your technical depth while progressing towards senior engineering paths. With dedicated opportunities for funded training and certifications, you’ll be joining a supportive team that invests heavily in professional development and clear career progression. We are looking for: A proactive 2nd or 3rd line EUC engineer who loves learning new tech and solving problems. A natural team player who thrives in a client facing environment. • You must have strong hands-on experience supporting both macOS and Windows environments in a 2nd/3rd line capacity, • Skilled in supporting and administering Microsoft 365 (Exchange, Teams, SharePoint, OneDrive), • Experience administering device management platforms such as Jamf Pro or Microsoft Intune, • Confident troubleshooting complex issues, working independently and across multiple client environments, • Scripting in Bash or Python, with Powershell as an advantage Tech Stack You'll Work With: Apple & Windows devices, Jamf Pro, Jamf Connect, Jamf Protec Microsoft Intune, Microsoft 365 (Exchange, Teams, SharePoint, OneDrive) Entra ID (Azure AD), PowerShell, Bash, Python Apple Business Manager, Windows Autopilot, Networking fundamentals (DNS, DHCP, Wi-Fi, VPN) Key Benefits: • Funded training, certifications & professional development, • Hybrid working with flexibility, • Diverse project exposure across multi-sector clients, including non-profit, finance, media and technology If this is you, apply today - I look forward to speaking to you

Principal Software Engineer (Java / React) £100,000–£130,000 + Bonus Scheme Hybrid (London) A global technology consultancy is looking for a Principal Software Engineer to lead the design and delivery of modern, scalable full-stack applications across a range of high-impact client projects. You’ll work with leading global organisations, from major financial institutions to fast-growing tech companies, helping them build secure, scalable and high-performing digital platforms. This is a hands-on leadership role combining architecture, technical consulting and engineering delivery — ideal for someone who enjoys solving complex problems while mentoring others and shaping technical direction. The Role You’ll act as both a technical leader and senior hands-on engineer, responsible for designing and delivering full-stack solutions using Java and React, while guiding teams and influencing best practices. Working closely with cross-functional teams, you’ll help translate business challenges into scalable, production-ready systems that deliver real outcomes. Key Responsibilities • Lead the design and development of full-stack applications (Java / React), • Act as a technical consultant, solving complex engineering challenges, • Drive architecture and technical decision-making across projects, • Mentor and coach engineers, supporting their technical growth, • Collaborate with product, design and delivery teams, • Conduct code reviews and uphold engineering standards, • Contribute to technical strategy and best practices, • Ensure solutions are scalable, secure and maintainable, • Support project delivery, timelines and stakeholder alignment Tech Stack Backend: Java (Spring) Frontend: React, TypeScript / JavaScript Architecture: Distributed systems, scalable design patterns Cloud: AWS / Azure / GCP (desirable) DevOps: CI/CD, Agile, modern engineering practices Containers (desirable): Docker, Kubernetes What They’re Looking For • Strong experience in full-stack software development, • Expertise in at least one backend language (Java preferred) and modern frontend frameworks (React), • Solid understanding of software architecture and design patterns, • Experience leading technical projects and mentoring engineers, • Strong problem-solving skills and ability to work independently, • Experience with Agile and DevOps environments, • Awareness of AI-assisted development practices and modern SDLC improvements Desirable Experience • Cloud platforms (GCP is a bonus), • Serverless architectures, • Containerisation tools (Docker, Kubernetes), • Experience working in consulting or client-facing environments Why Join? You’ll be joining a global technology consultancy with a strong engineering culture, delivering real-world solutions into production at speed. The business works with some of the world’s most recognisable brands, helping them modernise platforms, improve customer experiences and build secure, scalable systems. This role offers the opportunity to: • Work on high-impact, complex engineering challenges, • Influence technical strategy at a principal level, • Develop leadership skills and progress within a structured career framework, • Collaborate with highly skilled engineers across multiple regions Benefits • Hybrid - London, • Opportunity to work on enterprise-scale projects, • Exposure to modern technologies and AI-driven development practices, • Collaborative, high-performance engineering culture, • Strong Pension, Healthcare etc...

Who we are We are a London tech startup on the lookout for bright, motivated and self-driven individuals to join the team. Who you are You are a DevOps/Site Reliability Engineer with experience managing complex infrastructure and deploying scalable, reliable systems. You are passionate about automation, cloud technologies, and continuous improvement. Must have: • Proven track record of managing cloud-based infrastructure (AWS, Azure, or GCP)., • Hands-on experience with infrastructure-as-code tools such as Terraform, Ansible, or CloudFormation., • Strong CI/CD pipeline design experience using tools like Jenkins, GitHub Actions, or GitLab CI., • Proficiency in scripting languages such as Bash, Python, or Go., • Experience with container orchestration tools such as Kubernetes, Docker Swarm, or HashiCorp Nomad., • Excellent problem-solving, communication, and collaboration skills. Nice to have: • Experience managing distributed systems, microservices, and event-driven architectures., • Knowledge of observability tools such as Prometheus, Grafana, ELK Stack, or Datadog., • Experience with security best practices, monitoring, and incident response., • Familiarity with DevSecOps and compliance frameworks (ISO 27001, SOC 2, GDPR)., • Exposure to big data processing, ML pipelines, or simulation workflows. Bonus: • Existing interest in data science and simulation workflows in the manufacturing, energy or chemical process industries;, • Experience with high-performance computing (HPC). What we do We are building what will become a leading industrial platform that empowers engineers and research scientists to solve pressing problems in energy efficiency, product design and reliability. We develop and support a product that connects simulations, data, and AI to empower large organisations when making informed decisions across the life cycle of engineered systems. Quaisr is an early stage startup backed by Crane Venture Partners (UK) and Acequia Capital (USA), along with international angel investors. We were founded on partnerships with leading engineering and research institutions including Imperial College London and The Alan Turing Institute. Our customers are early-adopter multinational organisations in the pharmaceuticals, fast-moving consumer goods, defence, and energy sectors. Where we operate Our office is in London (White City). This position is available full time in the UK. When we work We offer 25 days paid annual leave, in addition to UK bank holidays. What you will do • Platform Operations (40%): Support the lifecycle of platform deployment, including provisioning, updating, monitoring, and scaling cloud infrastructure., • Automation & Tooling (40%): Design and implement CI/CD pipelines, deployment automation, and system monitoring solutions., • Technical Leadership & Documentation (20%): Create and maintain infrastructure documentation, contribute to technical blog posts, and mentor junior engineers. What we offer • Salary range of £50,000 to £85,000 depending on experience., • Development training and support to learn required technical skills., • Employee stock options., • New equipment: MacBook Pro, and work-from-home allowance., • Opportunities to attend technical conferences., • Flexible hybrid working environment, blending work from the office and home. Our hiring process • (30 mins) Introductory call with Quaisr. This is a chance to learn about Quaisr and to check that our plans align with your own. We want to get to know you., • (90 mins) Technical call with two Quaisr team members. We’ll give you an opportunity to talk through a past programming experience, including taking us through some of your code. We want to learn more about you, and a little regarding how you think!, • (45 mins) Online coding exercise (with a Quaisr team member on the call) working on a practical task related to cloud deployment or automation., • (45 mins) Follow-up with additional Quaisr team. You will meet your future team members and learn more about the role directly from us. Application instructions Please send a cover letter and CV to Our policy on equality, diversity and inclusion Quaisr is committed to creating an environment where diversity is valued and everyone is treated fairly. We welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation. Reasonable adjustments to the interview process can also be made for any candidates with a disability. One more thing If you have a compelling interest in our mission, and wish to propose a role that more closely matches your skill set, please get in touch.

Head of Windows Engineering / London or New York • Fed up with legacy technical debt?, • An active directory that is like the back of the office fridge (stuff in there from years ago, nobody knows who it belongs to or is brave enough to chuck away)., • A desire to build rather than maintain, • Or maybe you’ve sorted out all the problems and need a new challenge If so, this role is for you. We are working with a systematic hedge fund seeking a Lead Windows Engineer to design and build the organisation’s Windows infrastructure from the ground up. This is a rare opportunity to own the Windows platform architecture and play a key role in designing and implementing the core infrastructure that supports trading, research and operations systems. You will lead the development of a secure, scalable and highly automated Windows environment, spanning on-premise and cloud infrastructure. Responsibilities • Lead the architecture, implementation and ongoing management of enterprise Windows infrastructure, • Design and deploy core services including Active Directory, identity management and enterprise authentication, • Build and maintain the firm’s Windows Server environment across on-prem and cloud platforms, • Develop automation frameworks using PowerShell and infrastructure-as-code tooling, • Implement security controls, patching, monitoring and configuration management, • Partner with engineering, trading, operations and security teams to deliver a reliable platform, • Integrate infrastructure with trading systems, internal applications and external vendors, • Define infrastructure standards, documentation and operational best practices, • Infrastructure engineers are responsible for designing and maintaining the foundational systems that support business operations and applications across the organisation. Requirements • Extensive experience in enterprise Windows infrastructure engineering, • Strong expertise with Windows Server environments and enterprise architecture, • Deep knowledge of Active Directory, identity services and Group Policy, • Experience managing authentication and directory services that control access across corporate systems., • Strong scripting and automation skills using PowerShell, • Experience supporting virtualisation platforms (VMware / Hyper-V) and hybrid infrastructure, • Exposure to cloud platforms such as Azure or AWS, • Experience implementing monitoring, patching and configuration management frameworks, • Strong troubleshooting skills across complex enterprise systems, • Experience in hedge funds, trading firms or financial services environments is highly desirable. Get in touch This is an amazing opportunity to build a new windows infrastructure within a technology driven firm. This is a high visibility role working across the technology organisation at the intersection of engineering, security and trading technology. Very competitive compensation and long-term growth potential.

Mandatory Skills: MECM AND SCCM AND EUC Key Responsibilities: Windows Engineering & Endpoint Platform • Engineer, maintain, and optimize a global Windows 11 desktop environment, ensuring stability, performance, and security., • Own OS image engineering, lifecycle management, configuration baselines, and feature update strategies., • Design, implement, and manage Microsoft Intune for configuration, policy enforcement, compliance, application packaging, and advanced device management., • Lead Windows Autopilot deployments, provisioning workflows, and zero‑touch onboarding processes., • Drive all aspects of MECM administration and engineering, including:, • Task sequence creation and optimization (OSD, refresh, break/fix workflows), • Patch management and compliance reporting, • Infrastructure health and performance tuning, • Design and maintain advanced PowerShell automation for:, • Automation, • Configuration enforcement, • Remediation scripts, • User provisioning, • Data transformation and reporting, • Use Nexthink (or similar DEX tools) to monitor endpoint performance, identify trends, and proactively improve user experience., • Provide 3rd‑line engineering support for escalated desktop issues, including collaboration with security, networking, server engineering, and service desk teams., • Participate in an on‑call rotation and support planned weekend engineering activity for global deployments., • Maintain detailed documentation, runbooks, and architecture diagrams., • Contribute to strategic projects such as hardware refresh, OS migrations, security initiatives, and global transformation programmes. Required Skills & Experience Technical Expertise • Extensive hands‑on experience with Windows 11 OS, including registry, file systems, event logs, troubleshooting techniques, and performance tuning., • Deep knowledge of Intune, Autopilot, and Azure AD device management., • Strong engineering‑level experience with MECM, including deployments, task sequences, and compliance., • Advanced PowerShell developer, capable of writing clean, modular, production‑ready automation., • Experience with Nexthink (dashboards, investigations, RA scripting)., • Knowledge of Active Directory, Group Policy, conditional access, and security baselines., • Understanding of end‑user hardware (laptops, workstations, peripherals) and driver/firmware lifecycle management., • Strong communication skills, able to work effectively with global teams and non‑technical users., • Ability to manage multiple priorities in a high‑pressure environment., • Proven experience driving improvements, standardization, and automation., • Analytical mindset with strong attention to detail. Education & Experience • Bachelor's degree in Computer Science, Information Technology, or equivalent professional experience., • 5+ years of experience in desktop engineering or endpoint platform engineering within an enterprise environment., • Prior experience in a global or highly regulated industry is a strong plus.

We’re hiring: Forward Deployed Engineer (Generative AI) 📍 UK | Hybrid | Client‑facing delivery About the role Wipro is looking for a Forward Deployed Engineer (Generative AI) to help clients adopt and scale real, production‑grade GenAI solutions. In this hands‑on, customer‑facing role, you embed within client teams to understand their domain, rapidly prototype solutions, and take deployments from proof‑of‑concept to stable release—with measurable impact. You enjoy working in fast‑moving environments, collaborating closely with engineers and stakeholders, and building systems that are robust, secure, and usable. What you’ll be doing As a Forward Deployed Engineer, you will: • Help clients integrate and adopt GenAI offerings, demonstrating outcomes such as KPI improvements, • Embed within the client landscape to understand their domain and co‑develop solutions with core engineering teams, • Own technical delivery across multiple deployments from prototype to stable release, • Build bespoke AI and agentic AI solutions (RAG, multi‑agent workflows, fine‑tuning where needed), • Troubleshoot complex issues through technical debugging and root cause analysis, • Rapidly prototype to validate value and de‑risk delivery, • Implement best practices across engineering, reliability, and delivery What you bring You have strong experience in: • Building GenAI applications (RAG, multi‑agent systems, fine‑tuning) using tools such as LangChain and LangGraph, • Working with LLMs and understanding protocols such as Model Context Protocols, A2A protocols, and agent development tooling, • Deploying production‑grade GenAI/ML solutions on Azure, AWS, or GCP, including evaluation and optimisation, • Data science and ML tooling (pandas, scikit‑learn, PyTorch or similar), • Modern DevOps practices and tools (Docker, Kubernetes, Terraform, CI/CD, GitHub/GitLab, GitOps, monitoring/observability tools), • Building production code across backend and frontend (Python, JavaScript, or similar), • Communicating clearly with technical and non‑technical audiences Nice to have (but not essential) • Experience with Copilot/agent integrations, plugins/connectors, or enterprise LLM platform patterns, • Strong familiarity with observability practices and evaluation frameworks for GenAI systems Why Wipro You join a collaborative and future‑focused organisation working on meaningful client transformations. You’ll have access to learning, development, and exposure to cutting‑edge engineering and AI delivery—while being supported by a culture that values inclusion and growth

🌳🌳🌳 🚀 – Senior Software Engineers – C#, .NET, Vue.js, JavaScript, Azure, Testing- Scotland - Award-Winning, High-Growth Tech Scale-Up Award-Winning, High-Growth Tech Scale-Up | AI-Powered SaaS | £48,000 - £60,000 + Market-Leading Benefits After 110% growth in the last 12 months, they are now investing heavily into engineering function to support their next stage of scale. These five hires will play a pivotal role in shaping the future of the platform. Your role will involve the following: 🌳 New product modules 🌳 UI modernisation initiatives 🌳 Workflow and automation improvements 🌳 Core platform scalability and resilience 🌳 High-impact customer-facing features Focus areas rotate annually, ensuring ongoing growth and variety. 💻 Tech Stack We’re seeking strong full-stack engineers who lead by example. Core stack includes: 🌳 .NET (Framework & Core) 🌳 Azure SQL + Azure Cloud 🌳 Vue.js, Vanilla JS, CSS, HTML (SPA) 🌳 Bonus: RabbitMQ, SignalR, broader Azure services Experience with large-scale, complex systems is a major advantage. 🌟 About You 🌳 A strong full-stack engineer with deep problem-solving instincts 🌳 Skilled at breaking down complexity into clear actions 🌳 Emotionally intelligent and great at aligning teams 🌳 Confident challenging assumptions and navigating ambiguity 🌳 Motivated to build elegant, scalable, future-ready solutions 🌳 Passionate about learning, improvement, and collaboration 🎁 What You’ll Get 🌳 £48,000 - £60,000 depending on experience 🌳 Remote-first working 🌳 £1,000+ personal & professional development budget 🌳 33 days holiday, rising to 40 🌳 4-week paid sabbatical after 5 years 🌳 Private healthcare, income protection, death-in-service 🌳 Matched 5% pension 🌳 Innovation Weeks (twice annually) 🌳 20 hours paid volunteering time 🌳 Monthly social time - hikes, BBQs, games nights, workshops 🌳 A supportive, ambitious, inclusive engineering culture 🌍 Working Model Remote-first across the UK 🌳 Collaboration days in Office 🌳 Flexible hours around a 37.5-hour week 🌳 No mandated office days — trust, autonomy, and delivery matter most 🚀 Urgent Hiring - Immediate Interviews Booked These five roles are high priority, with interview slots already reserved for strong candidates. 📌 Please ensure your CV clearly showcases: • technical leadership, • full-stack engineering experience, • relevant architectural or delivery ownership 🌳 Areti Group – Carbon Positive Tech Recruitment 🌳🌳🌳 People & Planet Before Profit. Building teams that leave the world better than we found it.

Senior Java Software Engineer London (Hybrid – 3 days onsite) Up to £100,000 Base A growing financial technology company is looking for a Senior Java Software Engineer to join its backend engineering team. This is a highly technical role focused on building and optimizing high-performance, low-latency distributed systems. You’ll be joining a strong team of engineers in a business that values deep technical expertise and clean architectural thinking. The Role You will join a small but highly capable engineering function and quickly become one of the most senior Java specialists in the business. The position starts as a hands-on senior individual contributor role, with scope to take on technical leadership responsibility soon after. Key Responsibilities • Design and build high-performance applications using Java 25, • Develop and maintain microservices-based architectures, • Solve complex concurrency and multithreading problems, • Work on low-latency, high-throughput systems, • Build and deploy containerised services using Docker & Kubernetes, • Contribute to infrastructure and cloud-based deployments, • Mentor junior and mid-level engineers, • Raise engineering standards and influence architectural decisions Essential Experience • Very strong, in-depth knowledge of Java, • Strong experience building microservices, • Proven experience working on low-latency or high-performance systems, • Deep understanding of concurrency and multithreading, • Experience with Docker and Kubernetes, • Experience working in cloud environments (GCP, AWS, or Azure), • Strong communication skills and ability to operate in a small, ownership-driven team Desirable • Financial services experience, • Experience with Dropwizard or similar lightweight frameworks, • Infrastructure-as-code exposure (e.g. Terraform), • Front-end exposure (Angular), • Experience using AI tools to improve development productivity

We are GlobalLogic, a Hitachi Group Company and a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world. By integrating experience design, complex engineering, and data expertise - we help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses. We are seeking to hire an experienced Senior/Lead Azure Cloud Engineer/Consultant into our Platform Engineering Practice for a key client project. About the role: • Contribute to and provide leadership qualities in the development and deployment of Cloud technologies with focus and expertise in Azure., • Work individually and as part of a team to carry out end-to-end implementation of Cloud based technologies (public, private and hybrid). Collaborate with cross-functional teams to deliver resilient, production-ready platform capabilities., • Undertake Cloud based solutions activities driving architecture, process and management best practice., • Identify risks within major designs and direct follow up remediation activities., • Advise and assist clients in developing Cloud technology roadmaps., • Regularly undertake complex and/or critical consultative engagements, to a senior management level., • Confidently scope complex and critical projects as well as (high level and detailed) deliverables., • Able to work in a fast-paced project environment and tight delivery timelines., • In addition, design, build, and operate platform infrastructure using Infrastructure as Code (IaC) tools such as Terraform and Ansible., • Develop and maintain automation pipelines and tooling to support provisioning, configuration, and platform services., • Implement and improve CI/CD workflows to accelerate platform delivery., • Enhance reliability, scalability, and performance of platform services., • Write automation logic and integrations in Python, Powershell or Golang, especially for infrastructure tooling. Hands on experience required :- • Deploying/Managing Azure and/or Designing/Architecting Azure solutions., • Experience with Azure Devops (or similar CI/CD tooling)., • Experience with IAC (Terraform or ARM), • Experience with GitLab, GitHub Actions, • Work in an agile, collaborative manner and be adaptable to changing scenarios., • Strong experience deploying Infrastructure-as-Code in an enterprise environment., • Architectural design and deployment skills for enterprise Cloud technologies (public, private and hybrid) into complex environments., • Excellent knowledge of high availability and backup/recovery solutions., • Excellent technical design, performance improvement and service alignment skills., • Experience around business critical and business continuity solutions., • Ability to lead on cloud initiatives and work to tight delivery deadlines. Ideally you will have one or more of the Associate/Expert level Azure certs, e.g. • Azure DevOps Engineer expert; Azure Cybersecurity architect expert; Azure Solutions architect expert. At GlobalLogic, we have a strong track record of successfully delivering ground-breaking Cloud, Data & Digital Transformation programmes and we have an international reach working with a wide variety of projects and customers. Our approach enables companies to “build the exceptional” and be fit for purpose in the 21st century. We hire based on personality, potential, and enthusiasm to make a difference, then we give you the tools and skills you need to follow your own path. You’ll benefit by gaining exposure to a wide range of tools and technologies that you can then put into practice and become certified on various Cloud (and related) technologies that will help you to develop your own toolkit.

Senior Infrastructure Engineer - Commodities Trading - Up to £90k + Bonus Step into the technology engine room of a major European commodities trading firm, where technology sits right at the heart of operations. Operating across global energy markets, the business has 50–75 technologists across infrastructure, development, data and applications, supporting a highly sophisticated trading environment. Infrastructure here isn’t just keeping the lights on - it enables the traders, analysts and operations teams who depend on fast, resilient systems every day. It’s also an exciting time to join. A new Head of Infrastructure has recently joined and is investing heavily in reshaping the team and modernising the platform. You’ll play a key role in that journey, contributing to both engineering projects and operational improvements as the environment evolves. This is a hands-on role with real variety, working across mixed (Windows & Linux) and hybrid infrastructure spanning on-prem data centres and Azure. Key areas include: • Infrastructure modernisation and automation, • Improving resilience, performance and security, • Supporting critical systems underpinning a global trading operation You’ll gain exposure across a broad technology estate including: • Windows & Linux infrastructure (approx. 85/15 – Red Hat preferred), • Azure cloud services, • Virtualisation (VMware / VDI), • Cisco networking & firewalls, • Microsoft 365, • Automation & Infrastructure-as-Code (Terraform / Kubernetes exposure) The team is collaborative, growing and technically strong, so you’ll need to enjoy rolling up your sleeves, solving problems and taking real ownership of systems end-to-end. Engineers from financial services, commodities trading, or complex enterprise environments would be particularly well suited. • Up to £90k + bonus, • London, • Hybrid (3 days onsite) If you enjoy hands-on infrastructure engineering in fast-paced environments where technology truly matters, this is a role where you can make a real impact.

AI Engineer | Hybrid | London | Outside IR35 | 6+ Months Cititec are working with a global financial markets organisation on a large scale data and platform transformation. They are looking for a Senior AI Engineer to help accelerate the migration of a complex data estate from Oracle to a Microsoft centric architecture across Azure, Cosmos DB, Microsoft Fabric and Azure Data Factory. The role will focus on applying AI and GenAI to improve developer productivity and engineering throughput, particularly across data migration, code generation and developer tooling. This includes deploying AI agents and AI assisted development tools within the Azure ecosystem. This is a high impact role operating across a large engineering environment, helping scale modern engineering practices and AI enabled development across a significant developer base.

IT Engineer – OneTrust Data Discovery Integration Location: London (Hybrid – 3 days onsite) Type: Subcontractor, 6 Month Initial Contract We need a skilled IT Engineer to integrate OneTrust Data Discovery across systems handling personal data. You’ll gather technical data, open/validate network paths, and work with SMEs to deploy and configure worker nodes and connectors. Key Deliverables • Onboard prioritized assets into OneTrust, • Document connectivity/setup for each application, • Complete initial catalog scans with ICRM, • Develop SOPs for onboarding, credentials, and change control Technical Skills • OS: Windows Server, Linux (RHEL, Ubuntu), • Databases/Stores: SQL Server, Oracle, PostgreSQL, MySQL, MongoDB, SMB/NFS, SharePoint, OneDrive, • Networking: TCP/IP, DNS, routing, NAT, proxies, TLS, firewalls (Palo Alto/Checkpoint), load balancers, VPN, • Identity: AD, Azure AD/Entra ID, LDAP, Kerberos, NTLM Experience • Deploying/scaling agents or scanning tools (e.g., vuln scanners, DLP, EDR)., • Secret and credential management., • Strong documentation (diagrams, runbooks, playbooks). Nice to Have • OneTrust Data Discovery nodes, connectors, classification tuning, • ServiceNow CMDB and change workflows, • Data governance/privacy concepts (PII, PCI, PHI), • Docker/Kubernetes familiarity Kindly share your up to date CV for immediate consideration.

Senior Data Support Engineer (Azure / SQL / Power BI) – UK About the Role We’re working with a leading organisation seeking a Senior Data Support Engineer to join their growing data team. This role focuses on delivering high-quality data insights, supporting data integration processes, and enabling data-driven decision-making across the business. You’ll work across data analysis, reporting, and platform support, collaborating with stakeholders to turn complex data into meaningful and actionable insights. Key Responsibilities • Perform in-depth data analysis to support strategic and operational decision-making, • Work closely with stakeholders to gather requirements and deliver data-driven insights, • Design and develop reports, dashboards, and visualisations using tools such as Power BI or Tableau, • Support and maintain data pipelines and workflows within Azure environments, • Analyse and interpret trends, patterns, and anomalies in large datasets, • Develop and optimise SQL queries for performance and efficiency, • Contribute to the improvement of data collection, processing, and reporting frameworks, • Ensure data quality, integrity, and consistency across systems, • Collaborate with cross-functional teams to deliver data solutions aligned with business needs, • Provide guidance and support to junior team members where required Required Skills & Experience • Strong experience with SQL (query writing, optimisation, troubleshooting), • Hands-on experience with Azure Data Factory and Databricks, • Experience building dashboards and reports using Power BI or Tableau, • Solid understanding of data modelling and data structures, • Experience working with ETL/ELT processes, • Proficiency in Python or R for data analysis, • Strong analytical and problem-solving skills, • Ability to work with stakeholders and translate business requirements into data solutions Desirable • Experience working in cloud-based data environments (Azure preferred), • Exposure to data governance and best practices, • Experience supporting or mentoring junior team members Working Arrangement • Hybrid working model, • 2–3 days per week onsite in London

Full Stack Developer – Contract (Inside IR35) Up to £600 per day Inside IR35 London – Hybrid (4 days in office, 1 day WFH) 6–12 month engagement, with intention to make perm offer A leading investment management firm is seeking a Full Stack Developer to join their lean, high‑impact technology team. In this role, you’ll build and enhance tools that automate operational workflows across treasury, collateral, FinOps, and middle‑office functions. This is a hands‑on position where you’ll work closely with risk, treasury, and operations teams to identify inefficiencies, replace legacy/manual processes, and build scalable solutions that support a fast‑paced trading environment. What you’ll work on • Automating workflows across treasury, accounting, trading and middle‑office operations., • Building tools to improve collateral & margin management, capital usage reporting, and trade reconciliation., • Designing and implementing API integrations across internal and third‑party systems., • Developing in‑house solutions to replace outsourced or legacy technology., • Creating data pipelines that improve reporting and analytics for portfolio managers., • Owning projects end‑to‑end — from gathering requirements through to deployment. What you’ll need • 5–6 years’ experience as a software engineer in financial services (buy‑side preferred, sell‑side also welcome)., • Solid background in treasury, collateral, middle‑office, or financial operations technology., • Strong programming skills in C# + Python, • Front‑end experience with Vue.js, React, or Angular., • Experience with databases such as SQL Server, Databricks, or Azure SQL., • Strong understanding of data structures, automation, and workflow optimisation., • Familiarity with Git / CI/CD pipelines., • Ability to operate independently in a fast‑moving, high‑ownership environment. Nice to have: • Experience with Broadridge, Sentry, or other treasury/risk platforms., • Exposure to data warehousing, security master systems, or trade booking automation., • Experience in quant or systematic trading environments. Why this role? You’ll have direct ownership, real influence, and the opportunity to modernise critical operational infrastructure in a high‑performing financial environment. Ideal for someone who enjoys autonomy, solving operational pain points, and building robust tools that have immediate business impact.

Solutions Engineer 📍 London, UK (Hybrid) 💰 £60,000 – £90,000 + Benefits Note:- Full Right to work needed. We are partnering with a fast-growing technology company building modern software platforms that help enterprise organisations solve complex operational and data challenges. They are looking for a Solutions Engineer who enjoys working at the intersection of engineering, product, and enterprise sales. This is an exciting opportunity for engineers who enjoy solving technical problems while collaborating closely with customers. In this role, you will help organisations unlock the value of a powerful platform by designing solutions, delivering technical demonstrations, and guiding successful implementation. The Role As a Solutions Engineer, you will act as a trusted technical advisor throughout the customer journey. You will work closely with account executives, product managers, and engineering teams to understand customer requirements, design solution architectures, and deliver technical demonstrations and proof-of-concept implementations. This role combines technical architecture, system integration, and customer engagement, helping organisations adopt modern cloud, AI, and data technologies. What You’ll Be Doing • Work with enterprise customers to understand technical requirements and solution architecture, • Design and deliver technical product demonstrations tailored to customer use cases, • Lead proof-of-concepts and technical validations during the sales process, • Support integrations with customer systems, APIs, and data platforms, • Collaborate with product and engineering teams to communicate customer feedback, • Provide guidance on best practices for deploying and scaling the platform, • Troubleshoot integration challenges and support successful customer adoption Technology Environment The platform integrates with modern technology stacks including: • Cloud infrastructure such as AWS, GCP, or Azure, • APIs and distributed services, • Data platforms including Snowflake, Databricks, BigQuery, and Kafka, • SaaS integrations and enterprise software ecosystems, • Automation and scripting using Python or JavaScript We’re Looking For • Experience in Solutions Engineering, Sales Engineering, or Technical Consulting, • Strong understanding of cloud platforms, APIs, and system integrations, • Ability to communicate complex technical concepts to both technical and non-technical audiences, • Experience delivering technical demos and proof-of-concept implementations, • Passion for solving customer problems and working in fast-moving technology environments Typical Backgrounds Previous experience from companies building: • AI platforms, • Developer tools, • Cloud infrastructure, • Data platforms, • Enterprise SaaS products Why This Role Is Interesting • Work directly with enterprise customers solving real technical challenges, • Influence product development through customer insights, • Collaborate with engineering, product, and sales leadership, • Join a rapidly growing company building modern cloud and data platforms

AWS Solution Architect (Senior Manager) – London Location: London, UK Salary: Up to £115,000 Hiring on behalf of: A confidential global technology & consulting client Clearance: BPSS and SC clearance (requires 5 years of continuous UK address history). We are partnering with a major international organisation that is expanding its senior cloud leadership team in London. They are seeking an exceptional AWS Solution Architect (Senior Manager) to drive large‑scale cloud transformation programmes, define cloud strategy, and lead multi‑disciplinary teams delivering cutting‑edge cloud solutions. If you excel at shaping cloud strategy, architecting enterprise‑scale AWS solutions, and influencing senior stakeholders — this is a high‑impact opportunity within a world‑class technology environment. About Our Client Our client is a globally recognised professional services and technology organisation, delivering cloud, digital transformation, and advisory services across multiple industries. They invest heavily in innovation, talent development, and industry‑leading practices — making this a standout role for senior technologists looking to elevate their careers. This is an opportunity to work with tier‑1 clients, lead critical cloud initiatives, and help shape the strategic direction of a rapidly growing cloud practice. Team & Culture You will be part of a high‑performing cloud architecture team known for: • Close collaboration from cloud strategy through to delivery, • Access to leading experts across cloud, AI, data, and engineering, • A culture built on innovation, continuous learning, and shared success, • The opportunity to work with some of the biggest and most complex organisations in the UK This is an environment for leaders who enjoy solving strategic challenges and shaping the future of enterprise cloud adoption. What You’ll Do As a senior leader in the cloud practice, you will: • Define cloud strategy and governance models for enterprise AWS adoption, • Set cloud architecture standards aligned with complex business goals, • Drive innovation across data, AI, security, DevOps, and multi‑cloud ecosystems, • Lead large‑scale transformation programmes (data centre exit, legacy modernisation, cloud‑native rebuilds), • Ensure cloud solutions meet regulatory, security, and compliance frameworks, • Present cloud strategies to C‑suite and steering boards, • Mentor architects, consultants, and managers to build technical capability within the team, • Act as a cloud evangelist, educating customers on cloud value and best practice This role blends hands‑on architecture, strategic leadership, and stakeholder influence. What Our Client Is Looking For Experience • Extensive hands‑on experience designing and delivering AWS cloud solutions, • Proven leadership of large transformation programmes Certifications & Education • AWS Professional or Associate certifications (e.g., Solutions Architect, DevOps Engineer), • Bachelor’s or Master’s in Computer Science, Engineering, or related discipline Architecture Expertise Business Architecture • Ability to translate business requirements into secure, scalable cloud architectures, • Skilled in cost optimisation and cloud best practices Data & AI • Strong understanding of data platforms, analytics solutions, and AI/ML‑driven architectures Application Architecture • Experience with serverless, microservices, and containerised workloads, • Familiarity with CI/CD pipelines and DevOps practices Security Architecture • Deep knowledge of IAM, encryption, compliance frameworks, • Ability to enforce security controls across cloud environments Integration Architecture • Knowledge of event‑driven patterns, API design, and hybrid connectivity Non‑Functional Requirements • Expert in designing highly available, fault‑tolerant and resilient systems, • Experience with observability, monitoring, disaster recovery and performance tuning Governance & Compliance • Knowledge of cloud governance, cost allocation, account management, and auditing Desirable Experience • AWS Specialty certifications (Security, Networking, Machine Learning), • Experience with Azure or Google Cloud Why This Role Stands Out Joining our client as a Senior Manager means you will: • Influence cloud strategy at enterprise scale, • Lead high‑value, transformative programmes across multiple sectors, • Work with cutting‑edge AWS technologies on complex technical challenges, • Access exceptional career development pathways and certifications, • Receive a competitive package including 30 days annual leave, private medical cover, and additional charity leave, • Enjoy flexibility, autonomy, and high visibility across the organisation

Method Resourcing are delighted to partner with a distinguished Asset Manager based in London looking to hire an Analytics/Data Engineer to join their talented team as they continue to grow, reporting directly into the Head of Data & Analytics. This role is integral to owning and optimising the firms analytics platform, building scalable pipelines, improving data models, and ensuring governance, quality, and stakeholder alignment. Liverpool St based, 2/3 days a week in the office. Responsibilities: • Own and maintain the Fabric analytics platform, including monitoring performance and resolving issues., • Build and manage scalable data pipelines using Fabric and Azure Data Factory to ensure reliable data ingestion., • Develop and support a medallion architecture and apply best-practice semantic modelling (e.g., star schema) to create analytics-ready data structures., • Collaborate with analytics and business teams while implementing data governance, version control, and quality assurance processes to ensure data integrity and usability. About you: • Experience building and deploying PySpark notebooks in data warehousing environments, along with strong SQL skills for data transformation and modelling., • Solid understanding of relational and dimensional data modelling techniques (e.g., star schema, slowly changing dimensions), with the ability to guide others., • Hands-on experience with Microsoft Fabric or Azure Databricks, including exposure to Delta Lake and lakehouse architectures., • Familiarity with CI/CD practices and Git-based version control. Nice to haves: • Prior experience in Asset Management / Financial Services, • DAX and Power BI, • Awareness of data governance principles & tools (e.g., Purview, Unity Catalog, Fabric Data Governance). Please apply via the link or contact me directly at . Best, Finn

Agentic Engineer / Intelligent Agent Developer Location: London (Hybrid) Salary: £90-100k An innovative and growing SME focused on digital transformation and AI driven solutions. As they scale thier operations and harness the latest advancements in AI, they’re looking for a creative, technically skilled Agentic Engineer to help them design, build, and deploy autonomous, intelligent systems that make a real impact. The Role As an Agentic Engineer, you’ll play a key role in developing and integrating AI agents capable of independent reasoning, decision-making, and collaboration across their digital ecosystem. You’ll work closely with their product, data, and software teams to build adaptive solutions that enhance productivity, automate workflows, and enable smarter business processes. This is an opportunity to shape how next-generation AI is applied in a fast-moving SME environment—balancing hands-on technical work with strategic innovation. Key Responsibilities • Design, build, and deploy AI agents using frameworks such as LangChain, CrewAI, or similar., • Integrate multi-agent systems into existing software products and business workflows., • Collaborate with stakeholders to identify automation opportunities and deliver agentic solutions., • Fine-tune and optimize LLMs for task-specific reasoning, retrieval, and planning., • Develop scalable backend systems to support autonomous decision-making and communication between agents., • Monitor, evaluate, and continuously improve agentic performance and reliability. Skills & Experience Essential: • 3+ years in software engineering, AI engineering, or machine learning roles., • Strong programming skills (Python preferred)., • Experience with LLM integration (e.g., OpenAI, Anthropic, Hugging Face)., • Understanding of agentic frameworks, prompt engineering, and orchestration tools., • Experience in small, agile teams or start-up/SME environments., • Knowledge of vector databases, RAG systems, or AI orchestration platforms., • Interest in autonomous systems, cognitive architectures, or workflow automation.

About the role As a Cloud Platform Engineer, you will play a key role in ensuring the reliability, scalability, and performance of Prism products and supporting infrastructure in Azure. This is a hands-on role where you’ll implement and optimize platform services, CI/CD pipelines, and deployment processes for enterprise-grade applications. The Platform Engineer should be a can-do, high-achieving individual with strong product and domain expertise, who thrives on collaboration and has experience building secure, resilient cloud infrastructure. You’ll champion engineering excellence and automation, foster best practices, and bring a genuine passion for technology and continuous improvement to everything you do. Location: London, Uxbridge or Skipton (England, UK) Permanent, Hybrid working model. Your responsibilities • Development and maintenance of Azure infrastructure using best tools and practices., • Design and configuration of CI/CD pipelines, containers, virtual networks, and monitoring dashboards., • Design and implementation of Infrastructure as Code (IaC) scripts for multi-tenant setups., • Performance monitoring and optimization of Azure resources, including cost and performance advice., • Implementation of governance policies: Azure AD, security, virtual networks, etc., • Collaboration with development, test, and Scrum teams to ensure quality and timely delivery. Your skills • 4+ years of experience in delivering fast paced and agile system Engineering ideally in regulated FinTech or payments/banking/wealth., • Excellent knowledge of Azure Cloud, Azure AD, and security in Azure., • Proficient in Infrastructure as Code (IaC) practices and tools (Terraform)., • Strong advocate of CI/CD methodologies, familiar with the Azure DevOps stack., • Deep understanding of cloud artefacts/tools: containers, API management, event bus, app services, monitoring, etc., • Standardized logging/metrics/tracing (OpenTelemetry, Prometheus/Grafana); built comprehensive dashboards and runbooks., • Proven track record of building high-performing and reliable infrastructures. Success Metrics (what you will be measured on) • DORA: Lead time, Deployment frequency, Change failure rate, MTTR., • Reliability: SLO attainment (%), incident rate and severity mix, mean time to detect (MTTD)., • Quality: Escaped defects, defect density, automated test coverage, flaky test rate., • Security/Compliance: Vulnerability SLA adherence, audit/control pass rate., • Cost & Efficiency: Cloud unit economics, cost-to-serve, build time, onboarding time to first PR. Our benefits • Private health insurance + dental program for all employees from 3rd month., • Tax benefits in services such as day care, commuting cost, health, and food., • Life insurance from day 1 for all employees., • Healthy snacks at the office., • Wellness program with workshops and webinars., • Team building activities such as Christmas, Summer event, Football team., • Voluntary initiatives. Pepper Advantage’s values and culture Our mission is to help people succeed. Our clients, our customers, our employees. Our Values are ‘Can do’, ‘Balanced’ and ‘Real’. Pepper Advantage’s values support our vision, shape our culture and define how we interact with other employees and the attitudes we adopt towards our customers and clients. The values of Pepper Advantage support the organisation’s mission statement. Pepper Advantage’s unique outcome focused corporate culture aims to deliver fairness and value for clients and customers, consistently exceeding expectations in all measurable performance areas. Pepper Advantage is an equal opportunities employer. Role profiles are subject to change in line with business needs.

SC CLEARANCE or ELIGIBLE FOR CLEARANCE CANDIDATES ONLY Company Overview We are working with an innovative organisation that recognises the increasing complexity of project delivery. Since 2013, our client has been helping companies of all sizes improve the way projects are delivered. Their mission is to become the number one provider of innovative project solutions, driven by a community of experienced, caring, and passionate professionals who are committed to improving project delivery. Their vision is simple yet powerful: to improve the lives of people everywhere through the delivery of projects. They provide tailored services ranging from organisational systems implementation to project transformation and complete programme recovery. Why Join Our Client? Our client is currently in an exciting phase of growth, making this an excellent time to join their journey. They are building something special—scaling the business while maintaining a strong people-first approach. Investment in their teams is a key priority, creating an environment where development is encouraged and individuals are supported to grow with the organisation. Position Overview Our client is seeking a Senior Data Engineer who thrives on building scalable, cloud-first data systems. In this role, you will design and manage data pipelines that support analytics, AI, and automation across complex infrastructure programmes. Your work will play a key part in enabling data-driven transformation across critical UK industries. Core Responsibilities • Design, build, and optimise data pipelines using Azure Data Factory, Synapse, and Databricks, • Develop and maintain ETL/ELT workflows to ensure high data quality and reliability, • Collaborate with analysts and AI engineers to deliver robust and reusable data products, • Manage data lakes and warehouses using formats such as Delta Lake and Parquet, • Implement best practices for data governance, performance, and security, • Continuously evaluate and adopt new technologies to evolve the organisation’s data platform, • Provide technical guidance to junior engineers and contribute to team capability building Technical Stack Core: • Azure Data Factory, • Azure Synapse Analytics, • Azure Data Lake Storage Gen2, • SQL Server, • Databricks Enhancements: • Python (PySpark, Pandas), • CI/CD (Azure DevOps), • Infrastructure as Code (Terraform, Bicep), • REST APIs, • GitHub Actions Desirable: • Microsoft Fabric, • Delta Live Tables, • Power BI dataset automation, • DataOps practices What You’ll Bring • Professional experience in data engineering or cloud data development, • Strong understanding of data architecture, APIs, and modern data pipeline design, • Hands-on experience within Microsoft’s Azure ecosystem, with an interest in emerging technologies such as Fabric, AI-enhanced ETL, and real-time data streaming, • Proven ability to lead technical workstreams and mentor junior team members, • A strong alignment with the organisation’s IDEAL values: Integrity, Drive, Empathy, Adaptability, and Loyalty Ready to Apply? This is a fantastic opportunity to join a forward-thinking organisation at a key stage of growth, working on impactful projects across critical industries. If you’re looking to take the next step in your career within a collaborative and innovative environment, we’d love to hear from you. Apply now.

Zenith UK AI Data Engineer Our Commitment At Zenith UK, we believe that fostering an inclusive culture where all talent can thrive makes our company stronger. It enables a greater idea exchange, which fosters innovation and creativity, and enriches our perspective.We are committed to Publicis Groupe’s wide variety of talent engagement and inclusion programming, and encourage our people to take an active role in continuing to drive positive change within our agency. This role presents an opportunity to engage deeply with MLOps, vector databases, and Retrieval-Augmented Generation (RAG) pipelines. If you are passionate about shaping the future of AI and thrive on complex, high-impact challenges, we encourage you to apply. What You'll Do: As a Senior Data Engineer for AI/ML, you will be the architect and builder of the data infrastructure that feeds our intelligent systems. Your responsibilities will include: • Design and Build Scalable Data Pipelines: Architect, implement, and optimize robust, high-performance real-time and batch ETL pipelines to ingest, process, and transform massive datasets for LLMs and foundational AI models., • Cloud-Native Innovation: Leverage your deep expertise across AWS, Azure, and/or GCP to build cloud-native data solutions, ensuring efficiency, scalability, and cost-effectiveness., • Power Generative AI: Develop and manage specialized data flows for generative AI applications, including integrating with vector databases and constructing sophisticated RAG pipelines., • Champion Data Governance & Ethical AI: Implement best practices for data quality, lineage, privacy, and security, ensuring our AI systems are developed and used responsibly and ethically., • Tooling the Future: Get hands-on with cutting-edge technologies like Hugging Face, PyTorch, TensorFlow, Apache Spark, Apache Airflow, and other modern data and ML frameworks., • Collaborate and Lead: Partner closely with ML Engineers, Data Scientists, and Researchers to understand their data needs, provide technical leadership, and translate complex requirements into actionable data strategies., • Optimize and Operate: Monitor, troubleshoot, and continuously optimize data pipelines and infrastructure for peak performance and reliability in production environments. What You'll Bring: We are seeking a seasoned professional who is excited by the unique challenges of AI data. Must-Have Skills: • Extensive Data Engineering Experience: Proven track record (3+ years) in designing, building, and maintaining large-scale data pipelines and data warehousing solutions., • Cloud Platform Mastery: Expert-level proficiency with at least one major cloud provider (GCP-Preferred, AWS, or Azure), including their data, compute, and storage services., • Programming Prowess: Strong programming skills in Python and SQL are essential., • Big Data Ecosystem Expertise: Hands-on experience with big data technologies like Apache Spark, Kafka, and data orchestration tools such as Apache Airflow or Prefect., • ML Data Acumen: Solid understanding of data requirements for machine learning models, including feature engineering, data validation, and dataset versioning., • Vector Database Experience: Practical experience working with vector databases (e.g., Pinecone, Milvus, Chroma) for embedding storage and retrieval., • Generative AI Familiarity: Understanding of data paradigms for LLMs, RAG architectures, and how data pipelines support fine-tuning or pre-training., • MLOps Principles: Familiarity with MLOps best practices for deploying and managing ML models in production., • Data Governance & Ethics: Experience implementing data governance frameworks, ensuring data quality, privacy, and compliance, with an awareness of ethical AI considerations. Bonus Points If You Have: • Direct experience with Hugging Face ecosystem, PyTorch, or TensorFlow for data preparation in an ML context., • Experience with real-time data streaming architectures., • Familiarity with containerization (Docker, Kubernetes)., • Master's or Ph.D. in Computer Science, Data Engineering, or a related quantitative field. Zenith UK has fantastic benefits on offer to all of our employees, full details of which are shared when you join. This includes the classics like Pension, Life Assurance, Private Medical, as well as Reflection Days, Shared Parental Leave, and spans other initiatives like: 📖 Please check out the Publicis Career Page which showcases our Inclusive Benefits and our EAG’s (Employee Action Groups). At Zenith UK, we are proud to be an equal opportunities employer. We welcome and encourage applications from people of all backgrounds, and do not discriminate on the basis of race, ethnicity, nationality, religion or belief, disability, age, citizenship, relationship status, sexual orientation, gender identity, or any other protected characteristic. We are committed to providing a fair, accessible, and inclusive recruitment process. If you have any access needs - for example, related to disability, neurodivergence, or a health condition - please let us know. We’ll work with you to ensure the process works for you. Sharing this information will never impact your application. Guided by our values, we listen with empathy, uplift each other, take responsibility, and embrace change - building a culture where everyone feels seen, respected, and genuinely included.

Technical Lead / Solution Engineer (Salesforce) London | Permanent | Hybrid £100,000 - £120,000 + bonus + benefits We’re looking for a Technical Lead / Solution Engineer to join a high-impact Salesforce transformation programme. You’ll play a key role in delivering and evolving a global Salesforce ecosystem across multiple lines of business. This is a hands-on leadership role, combining solution architecture, technical delivery, and business engagement. You’ll have the autonomy to lead initiatives, influence architectural decisions, and step up when senior leadership is unavailable. What You’ll Be Doing • Lead solution design and technical delivery across Salesforce and integrated platforms, • Collaborate with Architects, Product Owners, Developers, and Testers to deliver scalable, high-quality solutions, • Translate business requirements and customer journeys into technical designs, • Challenge and influence architectural decisions to optimise outcomes, • Provide hands-on technical leadership, mentoring developers and reviewing code where needed, • Drive adoption of modern engineering practices (CI/CD, cloud, event-driven architecture), • Support Agile delivery across global teams and remove technical blockers, • Ensure compliance with financial regulations, data privacy, and governance standards Key Skills & Experience Essential • Strong Salesforce (Sales Cloud) experience, • Proven background as a Technical Lead / Solution Architect / Solution Engineer, • Experience with:, • AWS (Glue, AppFlow), • Java development, • API integrations (REST/SOAP), • CI/CD pipelines & cloud deployment (AWS/Azure), • Experience working across business requirements / user journeys (BA background beneficial), • Strong understanding of data models, MDM, and ETL processes, • Experience in Agile environments Leadership & Stakeholder Skills • Experience managing or mentoring developers and QA teams, • Strong communication skills with the ability to challenge and influence stakeholders, • Comfortable working with architecture review boards and senior leadership, • Ability to operate independently with confidence and gravitas Desirable • Experience in insurance, • Understanding of financial regulations (data privacy, compliance, etc.), • Consultancy background working with insurers, • Salesforce ecosystem knowledge including:, • Flows, Apex, LWC, • Data management & integrations, • Security & sharing models The Team & Environment • Part of a global technology function supporting business operations globally, • Multiple Salesforce teams globally, with distributed engineering across the UK and US, • Collaborative Agile environment with strong cross-functional partnerships Additional Information • Start date: ASAP (flexible for the right candidate), • Candidates must have the right to work in the UK Why Join? You’ll be part of a global insurer investing heavily in technology, working on a high-visibility Salesforce programme with real impact across the business. This role offers a rare mix of technical leadership, strategic influence, and hands-on delivery.

Role: Specialist Cloud Security Engineer Location: Central London Hybrid (1 day on site) Package: Up to £75,000 + 30% Bonus + Leading Benefits The Opportunity We are partnering with one of the UK’s most iconic retail giants as they continue to evolve their digital and technology landscape. This is a chance to join a high-calibre Information Security team where you will lead the charge in protecting a massive, multi-cloud environment. You will not just be a passenger; you will be defining the security guardrails that protect millions of customers. The Role As a Specialist Security Platform Engineer, you will focus on the integrity of cloud environments. You will identify vulnerabilities, configure advanced security tooling, and collaborate with developers to ensure security is baked into every product. This is a highly visible role where your lateral thinking will solve complex architectural challenges. Your Experience • At least 3 years of dedicated experience in Cloud Security Engineering., • Expertise in the Microsoft Azure security stack., • Hands-on experience with CNAPP, CSPM, or CASB tools., • Proven ability to secure Kubernetes and containerised workloads., • Excellent communication skills to influence non-security stakeholders. The Rewards • Competitive base salary up to £75,000., • Performance-related bonus up to 30%., • Generous pension and colleague discount., • Opportunity to shape cloud security direction across a major UK retailer If you’re passionate about cloud security and want to make a meaningful impact at scale, click apply or reach out to

Technical Lead / Solution Engineer (Salesforce) London | Permanent | Hybrid £100,000 - £120,000 + bonus + benefits We’re looking for a Technical Lead / Solution Engineer to join a high-impact Salesforce transformation programme. You’ll play a key role in delivering and evolving a global Salesforce ecosystem across multiple lines of business. This is a hands-on leadership role, combining solution architecture, technical delivery, and business engagement. You’ll have the autonomy to lead initiatives, influence architectural decisions, and step up when senior leadership is unavailable. What You’ll Be Doing • Lead solution design and technical delivery across Salesforce and integrated platforms, • Collaborate with Architects, Product Owners, Developers, and Testers to deliver scalable, high-quality solutions, • Translate business requirements and customer journeys into technical designs, • Challenge and influence architectural decisions to optimise outcomes, • Provide hands-on technical leadership, mentoring developers and reviewing code where needed, • Drive adoption of modern engineering practices (CI/CD, cloud, event-driven architecture), • Support Agile delivery across global teams and remove technical blockers, • Ensure compliance with financial regulations, data privacy, and governance standards Key Skills & Experience Essential • Strong Salesforce (Sales Cloud) experience, • Proven background as a Technical Lead / Solution Architect / Solution Engineer, • Experience with:, • AWS (Glue, AppFlow), • Java development, • API integrations (REST/SOAP), • CI/CD pipelines & cloud deployment (AWS/Azure), • Experience working across business requirements / user journeys (BA background beneficial), • Strong understanding of data models, MDM, and ETL processes, • Experience in Agile environments Leadership & Stakeholder Skills • Experience managing or mentoring developers and QA teams, • Strong communication skills with the ability to challenge and influence stakeholders, • Comfortable working with architecture review boards and senior leadership, • Ability to operate independently with confidence and gravitas Desirable • Experience in insurance, • Understanding of financial regulations (data privacy, compliance, etc.), • Consultancy background working with insurers, • Salesforce ecosystem knowledge including:, • Flows, Apex, LWC, • Data management & integrations, • Security & sharing models The Team & Environment • Part of a global technology function supporting business operations globally, • Multiple Salesforce teams globally, with distributed engineering across the UK and US, • Collaborative Agile environment with strong cross-functional partnerships Additional Information • Start date: ASAP (flexible for the right candidate), • Candidates must have the right to work in the UK Why Join? You’ll be part of a global insurer investing heavily in technology, working on a high-visibility Salesforce programme with real impact across the business. This role offers a rare mix of technical leadership, strategic influence, and hands-on delivery.

Job Title: Databricks Architect Location: London, UK Work Mode: Onsite Experience: 10–15 Years (minimum 5+ years in Databricks) Employment Type: Full-time About the Role We are seeking a highly experienced Databricks Architect to lead the design, development, and optimization of scalable data platforms and advanced analytics solutions. This role requires a deep understanding of Databricks Lakehouse architecture, big data engineering, cloud ecosystems, and enterprise data strategy. The ideal candidate will partner with business and technology leaders to deliver high-performance data systems that support analytics, AI/ML, and real-time insights. Key Responsibilities Architecture & Solution Design • Architect end-to-end Databricks Lakehouse solutions including data ingestion, ETL/ELT pipelines, Delta Lake, data warehousing, and data governance frameworks., • Define and enforce best practices, security standards, and performance optimization across Databricks workloads., • Design scalable big data architectures leveraging Spark, Delta Live Tables, Unity Catalog, and MLflow., • Build and optimize large-scale ETL/ELT pipelines using PySpark, SQL, and Delta., • Work closely with business leaders and product teams to translate requirements into robust technical solutions., • Guide development teams, perform architecture reviews, and ensure platform engineering excellence., • Optimize Databricks clusters, query performance, and cost management., • Implement data governance standards using Unity Catalog, RBAC, and compliance guidelines (GDPR, ISO)., • 10–15 years overall experience in data engineering or data architecture., • 5+ years of hands-on architecture experience specifically in Databricks., • Expert in Apache Spark, PySpark, Databricks SQL, Delta Lake, and distributed systems., • Strong understanding of Lakehouse architecture, BI ecosystems, and modern data platforms., • Cloud expertise in Azure / AWS / GCP (Azure preferred for many UK clients)., • Experience with CI/CD, Infrastructure-as-Code (Terraform preferred), and DevOps., • Databricks certifications (e.g., Databricks Certified Data Engineer Professional, Architect)., • Experience building ML solutions using MLflow or integrating with cloud ML services., • Experience in BFSI, Retail, Telecom, or Healthcare data environments., • Excellent communication and stakeholder management skills., • Strong problem-solving and solution-oriented mindset., • Ability to lead in a fast-paced and dynamic environment., • Work onsite with a high-impact, cutting-edge data team in London., • Opportunity to lead large-scale data transformation initiatives., • Exposure to enterprise data strategy, advanced analytics, and AI projects., • Competitive compensation and career-growth opportunities.

A growing real estate business is looking for a Network & Security Engineer to support and develop its core infrastructure as the organisation expands and brings more IT capability in-house. This role will focus on maintaining a secure, scalable network environment across multiple sites, with a strong emphasis on Cisco Meraki and Microsoft technologies. Key Responsibilities • Manage and support Cisco Meraki networking infrastructure (switching, wireless and security), • Maintain and enhance network security, including firewalls, VPNs and monitoring, • Support and optimise the Microsoft environment (M365 / Azure), • Act as a senior escalation point for complex infrastructure issues, • Monitor and maintain network performance across multiple locations, • Strong experience with Cisco Meraki networking (switching, wireless, security), • Solid experience within Microsoft environments (M365 / Azure), • Strong focus on network security and infrastructure resilience, • CCNP certification required, • Experience with Mimecast highly desirable, • Knowledge of ITIL processes (incident, change, problem management) beneficial, • Typically 5+ years in network / infrastructure engineering roles, • Experience operating as a 3rd line / senior escalation point

🌳🌳🌳 🚀 – x 8 Software Engineers – C#, .NET, Vue.js, JavaScript, Azure, Testing- Scotland - Award-Winning, High-Growth Tech Scale-Up Award-Winning, High-Growth Tech Scale-Up | AI-Powered SaaS | £39,000 - £50,000 + Market-Leading Benefits After 110% growth in the last 12 months, they are now investing heavily into engineering function to support their next stage of scale. These five hires will play a pivotal role in shaping the future of the platform. Your role will involve the following: 🌳 New product modules 🌳 UI modernisation initiatives 🌳 Workflow and automation improvements 🌳 Core platform scalability and resilience 🌳 High-impact customer-facing features Focus areas rotate annually, ensuring ongoing growth and variety. 💻 Tech Stack We’re seeking strong full-stack engineers who lead by example. Core stack includes: 🌳 .NET (Framework & Core) 🌳 Azure SQL + Azure Cloud 🌳 Vue.js, Vanilla JS, CSS, HTML (SPA) 🌳 Bonus: RabbitMQ, SignalR, broader Azure services Experience with large-scale, complex systems is a major advantage. 🌟 About You 🌳 A strong full-stack engineer with deep problem-solving instincts 🌳 Skilled at breaking down complexity into clear actions 🌳 Emotionally intelligent and great at aligning teams 🌳 Confident challenging assumptions and navigating ambiguity 🌳 Motivated to build elegant, scalable, future-ready solutions 🌳 Passionate about learning, improvement, and collaboration 🎁 What You’ll Get 🌳 £39,000 - £50,000 depending on experience 🌳 Remote-first working 🌳 £1,000+ personal & professional development budget 🌳 33 days holiday, rising to 40 🌳 4-week paid sabbatical after 5 years 🌳 Private healthcare, income protection, death-in-service 🌳 Matched 5% pension 🌳 Innovation Weeks (twice annually) 🌳 20 hours paid volunteering time 🌳 Monthly social time - hikes, BBQs, games nights, workshops 🌳 A supportive, ambitious, inclusive engineering culture 🌍 Working Model Remote-first across the UK 🌳 Collaboration days in Office 🌳 Flexible hours around a 37.5-hour week 🌳 No mandated office days — trust, autonomy, and delivery matter most 🚀 Urgent Hiring - Immediate Interviews Booked These five roles are high priority, with interview slots already reserved for strong candidates. 📌 Please ensure your CV clearly showcases: • technical leadership, • full-stack engineering experience, • relevant architectural or delivery ownership 🌳 Areti Group – Carbon Positive Tech Recruitment 🌳🌳🌳 People & Planet Before Profit. Building teams that leave the world better than we found it.

🌳🌳🌳 🚀 – Software Engineers – C#, .NET, Vue.js, JavaScript, Azure, Testing- Leeds/Newcastle/ Scotland - Award-Winning, High-Growth Tech Scale-Up Award-Winning, High-Growth Tech Scale-Up | AI-Powered SaaS | £39,000 - £48,000 + Market-Leading Benefits After 110% growth in the last 12 months, they are now investing heavily into engineering function to support their next stage of scale. These five hires will play a pivotal role in shaping the future of the platform. Your role will involve the following: 🌳 New product modules 🌳 UI modernisation initiatives 🌳 Workflow and automation improvements 🌳 Core platform scalability and resilience 🌳 High-impact customer-facing features Focus areas rotate annually, ensuring ongoing growth and variety. 💻 Tech Stack We’re seeking strong full-stack engineers who lead by example. Core stack includes: 🌳 .NET (Framework & Core) 🌳 Azure SQL + Azure Cloud 🌳 Vue.js, Vanilla JS, CSS, HTML (SPA) 🌳 Bonus: RabbitMQ, SignalR, broader Azure services Experience with large-scale, complex systems is a major advantage. 🌟 About You 🌳 A strong full-stack engineer with deep problem-solving instincts 🌳 Skilled at breaking down complexity into clear actions 🌳 Emotionally intelligent and great at aligning teams 🌳 Confident challenging assumptions and navigating ambiguity 🌳 Motivated to build elegant, scalable, future-ready solutions 🌳 Passionate about learning, improvement, and collaboration 🎁 What You’ll Get 🌳 £39,000 - £48,000 depending on experience 🌳 Remote-first working 🌳 £1,000+ personal & professional development budget 🌳 33 days holiday, rising to 40 🌳 4-week paid sabbatical after 5 years 🌳 Private healthcare, income protection, death-in-service 🌳 Matched 5% pension 🌳 Innovation Weeks (twice annually) 🌳 20 hours paid volunteering time 🌳 Monthly social time - hikes, BBQs, games nights, workshops 🌳 A supportive, ambitious, inclusive engineering culture 🌍 Working Model Remote-first across the UK 🌳 Collaboration days in Office 🌳 Flexible hours around a 37.5-hour week 🌳 No mandated office days — trust, autonomy, and delivery matter most 🚀 Urgent Hiring - Immediate Interviews Booked These five roles are high priority, with interview slots already reserved for strong candidates. 📌 Please ensure your CV clearly showcases: • technical leadership, • full-stack engineering experience, • relevant architectural or delivery ownership 🌳 Areti Group – Carbon Positive Tech Recruitment 🌳🌳🌳 People & Planet Before Profit. Building teams that leave the world better than we found it.

Software Architects – Data & Performance – .NET, Azure, SQL, Cloud Architecture –(Edinburgh/UK Remote) 🌳🌳🌳 🚀 Areti Group | B Corp™ Scotland, United Kingdom Software Architect – Data & Performance – .NET, Azure, SQL – Scotland / UK Remote – Award-Winning, High-Growth AI SaaS Scale-Up Award-Winning, High-Growth Tech Scale-Up | AI-Driven SaaS | This hire will play a critical role in defining how data, AI, and large-volume workloads power the future of the platform. This is not a “maintenance architect” role. This is a hands-on architectural leadership position shaping the backbone of a high-impact SaaS product. Your role will involve the following: 🌳 Analysing existing systems against future roadmap requirements 🌳 Defining scalable architectural solutions for high-volume data 🌳 Leading data performance and optimisation initiatives 🌳 Embedding security and privacy-by-design principles 🌳 Delivering and reviewing cloud-native Azure solutions 🌳 Driving architectural change within established codebases 🌳 Supporting how AI and data intelligence integrate into core product workflows This is a role for someone who enjoys modernising, evolving and strengthening architecture — not just maintaining it. 💻 Tech Stack We’re seeking a strong back-end architect operating confidently within: 🌳 .NET (Framework & Core) 🌳 Azure SQL Server 🌳 Azure Cloud Platform 🌳 MSSQL Broader exposure to: 🌳 Search technologies (Lucene, Elastic, NoSQL) 🌳 Azure Cognitive Search 🌳 Data pipelines (Fabric or similar) 🌳 MS SQL views 🌳 Performance optimisation and query tuning You’ll be comfortable navigating complex data environments and implementing architectural improvements without disrupting delivery momentum. 🌟 About You 🌳 A senior back-end engineer or architect with strong system design capability 🌳 Experienced implementing architectural change in live SaaS products 🌳 Excellent at breaking down large, ambiguous problems into manageable deliverables 🌳 Confident managing risk, complexity and trade-offs 🌳 Strong collaborator who can align engineering with product and business goals 🌳 Passionate about building scalable, high-performance, future-ready systems 🌳 Comfortable in a fast-scaling environment with evolving requirements 🎁 What You’ll Get 🌳 £75,000 - £90,000 depending on experience 🌳 £1,000+ annual personal & professional development budget 🌳 33 days holiday (rising to 40 days with tenure) 🌳 4-week paid sabbatical after 5 years 🌳 Private healthcare (medical, dental & vision) 🌳 Income protection & death-in-service cover 🌳 Matched 5% pension 🌳 20 hours paid volunteering time 🌳 Monthly team social time 🌳 A genuinely collaborative, ambitious engineering culture 🌍 Working Model Hybrid – Edinburgh or UK Remote 🌳 Flexible 37.5-hour working week 🌳 No mandated office days – autonomy and outcomes matter 🌳 Strong collaborative culture with optional in-office connection 🚀 High-Impact Architectural Hire This is a pivotal role influencing how data, performance and AI scale across the platform. You’ll help define how customers access, use and interact with mission-critical data — driving measurable business results. Immediate interview slots available for strong candidates. 📌 Please ensure your CV clearly demonstrates: • Architectural design experience, • Data-heavy or performance-sensitive systems, • Azure cloud delivery, • Technical leadership within live SaaS environments 🌳 Areti Group – Carbon Positive Tech Recruitment 🌳🌳🌳 People & Planet Before Profit. Building teams that leave the world better than we found it.

Infrastructure Engineer - Windows server, Active Directory, Group Policy - Commodities and Energy Trading - Up to £85k + bonus - Hybrid, LDN A leading global asset manager, responsible for assets under management across energy, precious metals, agriculture, FX, absolute return, multi-asset and specialist investment strategies. Are looking to hire an Infrastructure engineer to work within their current desk support team. As an infrastructure engineer, you will support the day-to-day operation and evolution of a large-scale enterprise infrastructure environment. The role sits within a technology team responsible for maintaining a hybrid infrastructure estate spanning Azure cloud services, Microsoft enterprise platforms, and on-premise VMware environments. You will play a key role in ensuring the stability, performance, and scalability of the infrastructure that supports multiple front-office teams, while also contributing to longer-term infrastructure initiatives such as data centre migration and modernisation projects. The Infrastructure Engineer will be responsible for supporting the day-to-day operational running of a large enterprise infrastructure environment, working across both Azure cloud platforms and on-premise infrastructure. As an Infrastructure Engineer, the role will involve provisioning and managing infrastructure for multiple front-office teams, ensuring environments are reliable, secure, scalable, and aligned with business requirements. The Infrastructure Engineer will maintain and support a large Azure environment, including identity management, authentication services, and enterprise applications, while working extensively across the Microsoft technology stack, such as Microsoft 365, Exchange, and Entra ID (Azure Active Directory). A key responsibility of the Infrastructure Engineer will be monitoring system performance metrics such as CPU utilisation, disk capacity, and overall infrastructure health, ensuring optimal uptime, stability, and operational efficiency. The Infrastructure Engineer will also contribute to ongoing infrastructure improvement initiatives, including a strategic data centre migration to an externally managed environment, helping to modernise the infrastructure estate while reducing operational overhead. Working closely with internal technology and network teams, the Infrastructure Engineer will ensure that infrastructure services continue to support critical applications, business operations, and long-term technology strategy. 📍Closest station - Tower Bridge station, Three days a week 💰 Up to £85,000 base salary per annum + bonus Key responsibilities: • Three to five years of experience working in the infrastructure environment, • Experience with scripting and automation using PowerShell and/or Python, with the ability to develop scripts to support infrastructure management, automation, and operational efficiency across cloud and on-premise environments, • Experience supporting enterprise infrastructure environments across Azure and VMware, • Strong understanding of Microsoft enterprise platforms and identity services, • Knowledge of infrastructure performance monitoring and capacity management, • Ability to work across BAU operational support and infrastructure improvement projects If you are interested in this Infrastructure Engineer role, please apply with your recent CV or reach out to me directly on Infrastructure Engineer - Windows server, Active Directory, Group Policy - Commodities and Energy Trading - Up to £85k + bonus - Hybrid, LDN

Backend Engineer (AI Platform) - London £80k–£100k + EMI equity About the Role We’re hiring a Backend Engineer to build the core infrastructure behind Revax’s AI-native platform for professional services. You’ll design, optimise, and scale the systems that power multi-agent drafting, knowledge graphs, and auditable AI workflows used by accountants, tax advisors, and consultants at leading firms. This is not a “ticket-taking” role -you’ll work directly with the founders, own critical backend services end-to-end, and help define how AI systems are built responsibly in regulated domains. If you enjoy designing clean APIs, scaling Python services, and building systems that actually ship to paying customers, this role is for you. Compensation: £80,000–£100,000 base + EMI equity Location: London About Revax Revax is building a new class of AI-native software for tax advisory firms. Today, professional services teams spend countless hours drafting, reviewing, and re-drafting work - constrained by fragmented knowledge, manual workflows, and brittle tooling. We turn a firm’s own expertise into structured, auditable, AI-powered systems that draft, analyse, and explain deliverables with full provenance. We’re a fast-moving, well-funded startup backed by leading angels, already working with major firms, and building at the intersection of AI agents, knowledge graphs, and real-world enterprise workflows. What You’ll DoBuild & own core backend systems · Build and optimise databases for complex, real-world data · Design and implement APIs using FastAPI for AI workflows and product features · Build and scale LangGraph-based multi-agent systems with checkpointing, retries, and observability · Integrate and scale vector search, knowledge graphs (Neo4j), and associated retrieval pipelines into production services · Deploy and operate GPU-backed services for AI workloads (e.g. inference, embeddings, or agent pipelines) in production Scale & operate production infrastructure · Deploy services on GCP (Cloud Run / GKE) or equivalent cloud infrastructure · Improve performance, reliability, and cost efficiency (latency, throughput, retries, backoffs) · Implement security-first patterns: auth flows, service-to-service auth, IAM, and access controls · Help prepare the platform for enterprise customers (SSO, auditability, compliance ready patterns) Collaborate closely with founders & product · Shape system architecture and API design alongside full-stack and ML engineers · Translate ambiguous product ideas into robust backend implementations · Iterate quickly based on real customer usage and feedback What We’re Looking For Essential · 2-3 years building backend systems for real users · Production experience with FastAPI (or similar modern Python frameworks) · Solid understanding of API design, PostgreSQL, and distributed systems fundamentals · Experience deploying and operating services on cloud infrastructure (GCP, AWS, and Azure) · High ownership mindset: you care deeply about reliability, correctness, and outcomes Strong Plus · Experience with LangGraph, RAG pipelines, vector databases, or knowledge graphs · Familiarity with Neo4j or graph-based data modelling · Experience working on AI-native or agentic systems · Comfort working in early-stage startups with ambiguity and speed · Experience deploying and working with GPU services for AI workloads Bonus · Exposure to professional services, finance, tax, or regulated workflows · You actively use modern AI coding tools (Cursor, Claude Code, etc.) · Strong instincts for developer experience and internal tooling Why Revax · Real ownership over core backend infrastructure · Work directly with founders on high-impact technical decisions · AI-native product with real customers and immediate feedback · Modern stack: Python, FastAPI, LangGraph, Postgres, Supabase, Neo4j, GCP · Meaningful early-stage equity: we hire owners, not passengers · A lean, low-ego, high drive team that ships fast and cares about their work Practical details · London based (strong preference for in office collaboration) · Visa sponsorship available

About the role As a Senior Platform Engineer, you will play a key role in ensuring the reliability, scalability, and performance of Prism products and supporting infrastructure in Azure. This is a hands-on role where you’ll design and optimize platform services, CI/CD pipelines, and deployment processes for enterprise-grade applications. This person should be a can-do, high-achieving individual with strong product and domain expertise, who thrives on collaboration and has experience building secure, resilient cloud infrastructure. You’ll champion engineering excellence and automation, foster best practices, and bring a genuine passion for technology and continuous improvement to everything you do. Location: Uxbridge, Skipton or London (England, UK) Permanent, Hybrid working model. Your responsibilities • Develop and maintain Azure infrastructure using the appropriate tooling required., • Design and configure CI/CD pipelines, containers, virtual networks, and monitoring dashboards., • Implement Infrastructure as Code (IaC) for multi-tenant setups in Azure., • Optimize performance and cost of Azure resources., • Apply governance policies (Azure AD, security, networking)., • Collaborate with development, QA, and Product teams to ensure quality and timely delivery., • Contribute to evolving scalable, secure, observable architectures (APIs, microservices, event-driven)., • Embed DevSecOps and SRE principles into platform engineering practices (SLOs, error budgets, incident management)., • Drive continuous improvement using metrics-led approaches (e.g., DORA). Competencies • Demonstrated leadership ability, team management, and interpersonal skills., • Change leadership—drives adoption of new ways of working, collaboration, continuous improvement with high levels of trust and autonomy., • Excellent communication and influencing skills, including the capability and gravitas to operate execs, engineers, and regulators/auditors., • Client/Customer-centric mindset; measurable impact on revenue, activation, retention, and costtoserve.-centric mindset; measurable impact on revenue, activation, retention, and cost-to-serve., • Ability to create a positive and collaborative climate in which people want to do their best by providing appropriate challenge, support and direction. Your skills • 8+ years of experience in delivering fast paced and agile system Engineering ideally in regulated FinTech or payments/banking/wealth., • Mentored engineering teams of 10+ across multiple parallel product lines, guiding developers working within microservices architectures and Cloud‑native environments (AWS/Azure/GCP)., • Engineering excellence leader with deep SDLC mastery with a pragmatic implementation approach to architecture, platform and tooling., • Embedded DevSecOps and automated policy and quality controls in delivery pipelines, ideally with Azure DevOps., • Extensive change management experience and evidential metrics-based delivery capability., • Standardised logging/metrics/tracing (OpenTelemetry, Prometheus/Grafana); built comprehensive dashboards and runbooks., • Owned Service reliability: SLOs/SLIs, error budgets, chaos experiments, game days, incident command. Nice to haves-to-Haves • Mortgage origination and servicing, Payments, core banking, or lending domain expertise., • Production experience with Kubernetes, IaC (Terraform), service meshes, and GitOps (Argo CD/Flux)., • Navigated PCI DSS, SOC 2, ISO 27001, GDPR; partnered with Risk/Compliance and auditors and delivered audit-ready evidence., • Privacy engineering (GDPR, data residency), • Experience leading across multiple geographies/time zones. Success Metrics (what you will be measured on) • DORA: Lead time, Deployment frequency, Change failure rate, MTTR., • Reliability: SLO attainment (%), incident rate and severity mix, mean time to detect (MTTD)., • Quality: Escaped defects, defect density, automated test coverage, flaky test rate., • Security/Compliance: Vulnerability SLA adherence, audit/control pass rate., • Delivery & Product: Roadmap predictability, value throughput (e.g., OKR progress), time-to-market., • People & Culture: eNPS, attrition of regrettable talent, internal mobility, DEI indicators., • Cost & Efficiency: Cloud unit economics, cost-to-serve, build time, onboarding time to first PR. Pepper Advantage’s values and culture Our mission is to help people succeed. Our clients, our customers, our employees. Our Values are ‘Can do’, ‘Balanced’ and ‘Real’. Pepper Advantage’s values support our vision, shape our culture and define how we interact with other employees and the attitudes we adopt towards our customers and clients. The values of Pepper Advantage support the organisation’s mission statement. Pepper Advantage’s unique outcome focused corporate culture aims to deliver fairness and value for clients and customers, consistently exceeding expectations in all measurable performance areas. Pepper Advantage is an equal opportunities employer. Role profiles are subject to change in line with business needs.

Lead Gen AI Engineer/ Architect London - Flexible Working Options Available £80,000-£90,000 + Bonus + Benefits Do you want to be at the heart of some of the biggest and most ambitious AI & Data programmes in the market? We’re hiring experienced Lead GenAI System Architects to join a world-class AI Institute – a centre of excellence driving cutting-edge Engineering, AI & Data innovation. You’ll work with senior leaders, global clients, and multidisciplinary teams on transformative Generative AI initiatives that redefine how organisations operate. This is a senior, hands-on role for someone who blends deep technical expertise with the ability to influence at board and C-suite level. • Shape and deliver enterprise-scale AI & Generative AI strategies aligned to real business outcomes., • Design, build, and deploy end-to-end AI pipelines – from data ingestion to secure, scalable production systems., • Lead the development and operationalisation of advanced models, including LLMs, diffusion models, and other generative techniques., • Architect production-grade RAG systems, evaluation frameworks, and responsible AI guardrails., • Stay at the forefront of AI research, translating emerging capabilities into practical, high-impact solutions., • Mentor and lead cross-functional AI teams, building reusable assets and delivery excellence. Background & Experience • PhD or equivalent in Computer Science, ML, AI, or a related field (or outstanding equivalent experience)., • Extensive experience designing and deploying enterprise AI/ML solutions in production., • Proven leadership of technical teams and senior stakeholders., • Deep domain experience in regulated or data-rich industries (e.g. financial services, healthcare)., • Track record of thought leadership (publications, patents, open source, or industry impact). Technical Excellence • Expert Python and modern ML frameworks (PyTorch, TensorFlow)., • Strong experience with Generative AI tooling (e.g. LangChain, LangGraph or similar)., • Deep understanding of LLMs, prompt engineering, RAG, vector databases, evaluation, and security., • Hands-on experience with fine-tuning, deploying, and monitoring large-scale GenAI systems., • Strong MLOps / LLMOps capability: CI/CD, monitoring, governance., • Cloud expertise across AWS, Azure, and/or GCP (cloud-agnostic preferred)., • Ability to communicate complex AI concepts to non-technical audiences.

Role Overview Quantum is building a high-performance trading platform operating in a security-critical environment. We are seeking a hands-on Cloud Engineer to design, build, secure, and operate our Microsoft Azure cloud platform. This is a 100% cloud engineering role. Corporate IT and end-user support are fully outsourced to a specialist MSP. The Cloud Engineer will own the cloud platform, security posture, and trading environment, while overseeing and coordinating with an external IT provider to ensure correct execution around identity, tenant governance, and transition activities. Key Responsibilities Cloud Infrastructure & Platform Engineering ·Design, build, and operate Azure environments supporting a live trading platform, including: ·AKS / Container Apps ·Postgres, Redis. Event Hubs, Kafka, Storage accounts ·Define and maintain secure cloud architecture, including networking, segmentation, private endpoints, and isolation. ·Build and manage infrastructure using Terraform and Azure CLI, ensuring consistency, traceability, and controlled change. ·Own cloud environments across development, UAT, and production. ·Implement and maintain CI/CD pipelines with robust deployment, rollback, and smoke-testing strategies. ·Collaborate with backend, data, and product teams to ensure scalable, secure, and performant platform design. Security & Risk Management (Core Focus) Security is a primary responsibility of this role. ·Own the cloud security posture across Azure: ·Identity and access models ·RBAC and least-privilege enforcement ·Secrets management and key rotation · Encryption at rest and in transit ·Implement strong observability and auditability, including logging, monitoring, alerting, and security events. ·Design systems assuming attack, failure, and misuse as default scenarios. ·Lead cloud-level incident response and post-incident reviews. ·Ensure the platform meets expectations for a trading / regulated environment. Reliability, DR & Resilience ·Design, implement, and test disaster recovery (DR) and business continuity strategies. ·Monitor platform health, performance, and availability. ·Identify and remediate single points of failure. ·Maintain clear, tested recovery documentation. Platform Ownership & Documentation ·Act as the technical owner of the cloud platform. ·Proactively identify risks, gaps, and improvement areas. ·Maintain clear, accurate documentation for architecture, infrastructure, security controls, and operational procedures. Interface with Outsourced IT Provider & CSP Transition ·Act as the technical point of contact for an external MSP responsible for corporate IT. ·Oversee and validate MSP execution where it intersects with: ·Identity and access ·Tenant configuration ·Security controls ·Support and govern the transition from the current CSP / IT provider to a new MSP, ensuring: ·Quantum retains full tenant ownership ·Least-privilege access is enforced ·No compromise to cloud or platform security ·Ensure the MSP executes day-to-day IT correctly without owning or designing cloud architecture. Skills & Experience Essential ·Proven hands-on experience as a Cloud Engineer working with Microsoft Azure. ·Strong experience with Infrastructure as Code (Terraform). ·Deep understanding of Azure networking, compute, storage, and identity. ·Experience operating production cloud environments with high availability and security requirements. ·Strong security fundamentals, including access control, encryption, logging, and auditing. ·Comfortable working autonomously in a small, fast-moving team with high ownership. Desirable ·Experience in fintech, trading, or other security-sensitive environments. ·Experience with containerised and event-driven systems. ·Experience inheriting, hardening, or cleaning up existing cloud environments. ·Familiarity with incident response and DR testing in cloud platforms. Working Style ·Proactive and self-directed; sees gaps and addresses them without prompting. ·Detail-oriented and disciplined. ·Strong communicator who values documentation and clarity. ·Comfortable operating with limited direction and high trust. Team Culture & Ways of Working We are a small, hands-on, and collaborative team. We value kindness, team players with low-ego, and proactive ownership. People who communicate clearly, roll up their sleeves, ask for help when needed, and help others succeed.

Lead Platform Engineer | £100,000 – £120,000 | Hybrid (London) The Mission • Cut dev-to-production lead time with seamless CI/CD and preview environments, • Design "Golden Path" workflows so engineers ship features, not config files, • Auto-scale GCP infrastructure to handle Black Friday and January travel peaks, • Champion SRE practices — define SLOs and error budgets for the booking flow, • Architect data-sync pipelines with GDPR-compliant PII masking for dev environments We'll consider strong candidates from AWS or Azure backgrounds — GCP is where you'll operate. The must-haves are: Kubernetes (GKE) · Docker · Terraform · PHP (Symfony/Drupal) · JavaScript · Go · Cloud SQL/MySQL · Redis · Nginx · Cloud Load Balancing · Varnish · CDNs · Cloudflare Bonus: GCP, BigQuery, Apigee, Vertex AI About You • Proven leadership of Platform, DevOps, or SRE teams in high-volume e-commerce, travel, or fintech, • Deep Kubernetes and container orchestration experience with PHP/React workloads, • Strong cloud fundamentals (IAM, VPCs, networking) — transferable from AWS or Azure to GCP, • Scripting fluency in Bash, Python, or Go, • Experience managing high-traffic SQL databases and Redis caching strategies, • £100,000 – £120,000 salary, • Hybrid working (minimum 3 days in our London office) with flexible hours, • Enhanced pension plan & life and critical illness insurance, • Medicash health plan, • Season ticket loan & cycle scheme, • Supplier social events #PlatformEngineering #DevOps #SRE #GCP #Kubernetes #Terraform #TechJobs #LondonTech #Hiring

Who We Are: TrustedTech is a leading Microsoft Cloud Solution Provider (CSP) specializing in Microsoft Cloud services, Microsoft perpetual licensing, and Microsoft Support Services for medium and enterprise-sized businesses. Our robust team of in-house, U.S-based Microsoft architects and engineers are certified in all 6/6 Microsoft Solutions Partner Designations in the Microsoft Cloud Partner Program. Prioritizing a people-centric mission, TrustedTech has transformed the Microsoft software licensing experience, giving IT professionals complete confidence in the success of their Microsoft investment. TrustedTech is the fastest-growing Microsoft Partner globally, with a presence in the UK and Europe for just over two years. Our continued success is built on relentless customer focus, innovation, and a world-class team. You’ll be joining a high-energy, high-impact organisation with the opportunity to make the role your own and directly influence our growth across the region. Overview: We are seeking a highly motivated and skilled Cloud Solutions Consultant (Pre-Sales / Sales Engineer) to join our rapidly growing team at our London office. As a sales engineer, you will play a critical role in understanding client technical requirements and providing pre‑sales support across Microsoft Cloud solutions, AI-enabled workloads, and related services. You will work closely with the sales team, using your technical expertise to clearly articulate the business and technical value of Microsoft technologies, including Copilot and Microsoft Fabric, to customers. Responsibilities: Technical Consultation: • Engage with clients to understand their technical requirements, challenges, and desired business outcomes, providing expert guidance on Microsoft Cloud, AI, and licensing solutions., • Advise customers on Azure environments, including licensing models, consumption charges, subscription management, and cost optimisation., • Support customer discussions around Microsoft Copilot readiness, including data security, identity, licensing prerequisites, and integration with Microsoft 365 and Azure services., • Assist customers in understanding how Microsoft Fabric supports analytics, data integration, and AI-driven insights across their Azure and Microsoft 365 estate. Pre‑Sales Support: • Collaborate with the sales team to develop technical proposals, presentations, and demonstrations that showcase the value of Microsoft Cloud, AI, and data platforms., • Position Azure services such as Azure Virtual Desktop, networking, storage, and analytics in alignment with customer use cases., • Help articulate AI value propositions, including productivity gains, automation opportunities, and data-driven decision making enabled by Copilot and Fabric. Product Knowledge: • Maintain up-to-date knowledge of Microsoft Cloud services, Copilot capabilities, Microsoft Fabric, licensing models, and broader industry trends., • Provide clear, concise explanations of Microsoft offerings across Microsoft 365, Azure, Copilot, and data/AI services, tailored to both technical and non-technical audiences. Client Engagement: • Build trusted advisor relationships with customers, responding to technical and AI-related enquiries throughout the sales lifecycle., • Support executive and technical stakeholders with clear guidance on adoption considerations, security, and commercial implications of AI-enabled solutions. Collaboration: • Work closely with in-house Microsoft architects and engineers to ensure a smooth transition from pre-sales to implementation., • Provide technical and solution context that supports successful delivery of cloud, data, and AI initiatives. Training and Documentation: • Develop and deliver enablement sessions for sales teams, including Copilot positioning, AI fundamentals, and Fabric use cases., • Contribute to internal and external technical documentation, solution briefs, and enablement materials. Required Skills & Qualifications (must‑haves): • 3+ years’ experience in a Sales Engineer, Solutions Consultant, or technical pre‑sales role within the IT industry, ideally focused on Microsoft technologies., • Strong working knowledge of Microsoft Cloud services, Azure infrastructure, and licensing models., • Solid understanding of Microsoft Copilot concepts, including data readiness, security considerations, and licensing requirements., • Experience optimising Azure environments for cost reduction and cost avoidance., • Ability to clearly explain Azure services, consumption models, and AI‑related cost drivers., • Foundational understanding of Microsoft Fabric, analytics, and AI-driven workloads., • Microsoft certifications preferred (e.g. MS‑900, AZ‑900, AZ‑104)., • Excellent communication skills, with the ability to translate technical and AI concepts into clear business value., • Strong customer‑centric mindset and consultative approach., • Proven ability to collaborate across sales, technical, and marketing teams., • Comfortable operating in a fast‑paced, growth‑oriented environment. Preferred Skills & Qualifications (nice‑to‑haves): • Experience supporting enterprise customers across multiple industries., • Exposure to AI adoption frameworks, analytics platforms, or data modernisation projects., • Project management experience supporting complex opportunities from pre‑sales through to delivery. Working Environment/Location: • Type: Hybrid (3 days onsite, 2 days WFH), • Working Hours: 8:30 am to 5:30 pm, • Office Headquarters: 3 New St Square, London EC4A 3BF Benefits: • Above Market Salary, • Comprehensive Private Health Insurance, • Extra 4 Days of Annual Leave After 1 Year, • Pension Scheme, • Monthly Company Events, • Monthly Team Lunches, • Ongoing training, certification support, and career development opportunities in a rapidly growing Microsoft Partner environment.

Do you want to build production AI systems that major enterprises actually rely on? Have you taken LLM applications beyond prototypes and into real-world deployment? Are you ready to work with cutting-edge AI tooling while solving complex enterprise problems? A global AI and data consultancy is hiring a Senior AI Engineer to help design and deliver production AI systems for enterprise organisations across financial services, energy, and healthcare. The company operates globally with ~600 employees and a large engineering presence in London. Their teams embed directly with clients to deploy AI systems into production environments, working closely with leading AI labs and cloud platforms to deliver scalable solutions. This role focuses on building reliable, production-grade AI systems, combining strong software engineering with applied AI development. You’ll work within cross-functional delivery squads alongside data scientists, engineers, and platform specialists. Role Summary This is a hands-on engineering role focused on designing and deploying LLM-powered systems in production environments. Engineers work across multiple enterprise engagements, typically lasting around nine months, building AI applications that solve real operational problems. Key Responsibilities • Design and implement LLM-powered applications for enterprise clients, • Build RAG pipelines and AI workflows integrating enterprise data, • Develop production APIs and backend services in Python, • Implement evaluation frameworks and monitoring for AI systems, • Optimise AI systems across latency, cost, and performance, • Contribute to solution architecture within cross-functional delivery squads Key Details • Salary: £75,000 – £90,000, • Working model: Hybrid (2–3 days per week in Central London), • Tech stack: Python, LLM APIs, RAG architectures, vector databases, agent frameworks, cloud platforms (AWS / GCP / Azure), • Visa sponsorship: Not available Interested? Please apply below.