92 jobs found

Position: Sandhata Senior Software Engineering Lead Location: London (and client sites some within an hour of London) Working Pattern: Hybrid (3 days per week in office or client sites) The Company Sandhata is a global consultancy providing Next Gen Engineering Services dedicated to transforming businesses. Our services span all facets of Digital Transformation, DevOps & Cloud, Integration, Automation, Low Code Application Development and AI-enabled services. Sandhata is a privately held IT services company with bases in the UK and India operating worldwide to help clients deliver a 'digital first' strategy. Sandhata is currently working with clients across various industry sectors, helping them to deliver cutting-edge technology solutions that streamline business processes and drive IT efficiency. The Role We are seeking a hands-on Engineering Lead to lead Sandhata's AI practice, shape our AI strategy, drive innovation initiatives and support the delivery of AI-enabled services, products and tools for both Sandhata and our clients. This role combines technical leadership, coding, solution design, pre-sales support and thought leadership, requiring someone who is equally comfortable building AI solutions as they are presenting them to clients and internal stakeholders. Key Responsibilities Define and lead Sandhata's AI Engineering and Innovation strategy. Lead the AI & Innovation Engineering practice. Deliver Sandhata's AI-enabled client solutions, internal tools, platforms, products and innovation projects. Innovate and remain hands-on with coding, architecture, engineering and technical problem solving. Enable business development through proposals, pitches, workshops and client engagement. Role model as a thought leader on AI, innovation and emerging technologies. Mandatory Skills & Experience Proven experience leading AI engineering, innovation or AI product teams. Strong hands-on software engineering background with production-grade development experience. Strong Python skills, ideally including FastAPI. Strong AWS experience, including services such as Bedrock, Lambda, ECS/EKS, API Gateway and S3. Experience with LangChain, LangGraph, RAG, vector databases and multi-agent systems. Experience building APIs, platforms, tools and AI-enabled products. Familiarity with evaluation and observability tools such as Arize, Promptfoo, LangSmith or MLflow. Experience with red teaming, AI safety, testing and governance. Strong knowledge of CI/CD, DevOps, Docker and Kubernetes. Strong communication skills and experience supporting pre-sales and client engagements. Experience working in regulated sectors such as banking, telecoms or insurance. Preferred Skills Experience with Azure cloud and Azure AI services. Familiarity with AWS AgentCore. Experience with MLOps, monitoring and deployment tooling. Knowledge of knowledge graphs and graph databases. Experience with low code, automation and integration platforms. Familiarity with Front End technologies and product development practices. Experience building reusable accelerators and internal developer platforms. Exposure to enterprise architecture and solution design. Experience delivering innovation programmes or internal transformation initiatives. Behavioural Competencies Strong communicator who can simplify complex technical concepts. Commercially aware with a strong business mindset. Comfortable balancing strategic leadership with hands-on coding and technical delivery. Pragmatic, delivery-focused and able to work through ambiguity. Strong stakeholder management and influencing skills. What Success Looks like Sandhata has a credible and growing AI Engineering and Innovation Practice. AI services are recognised and commercially successful part of Sandhata's offering. Sandhata develops reusable AI tools, accelerators and internal capabilities. Clients see Sandhata as a trusted advisor for AI and innovation. Innovation initiatives deliver measurable value internally and for clients. Sandhata is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

SAP Technical Architect Our client, a leading global supplier for IT services, requires SAP Technical Architect to be based at their client's office in Leeds, UK. This is a hybrid role - you can work remotely in the UK and attend the Leeds office 3-4 days per week . This is a 12 month temporary contract to start ASAP Day rate: Competitive Market rate As part of a greenfield implementation/rollout/enhancement and steady state on SAP with RISE, new applications are being provisioned and configured to support new SAP standard retail functionality. The technical setup and configuration of these newly provisioned systems need to be completed in order to enable the functional build to be deployed to support SIT, UAT, Performance testing prior/post to go-live. Key Responsibilities The SAP Technical Architect is responsible for defining, designing, and governing the overall technical architecture of SAP landscapes across SAP S/4HANA, SAP ECC, SAP BTP, SAP PI/PO, SAP Fiori/UI5, and integrated enterprise systems. This role ensures high-performance, scalable, secure, and future-ready SAP solutions that align with business strategy and IT roadmaps. The architect collaborates closely with business leaders, solution architects, Basis, development teams, and integration teams to deliver robust and compliant SAP technical platforms. Key Requirements Essential Skills: Strong hands-on experience designing and governing SAP S/4HANA and SAP ECC technical architectures. Provide technical leadership for ABAP, Fiori/UI5, OData, CDS Views, and SAP Basis teams. Deep understanding of SAP system landscape design, including DEV/QAS/PRD/DR environments. In-depth knowledge of SAP Basis, system sizing, performance tuning, high-availability (HA) and disaster recovery (DR) configurations. Strong experience with SAP HANA database architecture, optimization, backup/restore strategies, and security. Expertise in SAP integration technologies: SAP BTP Integration Suite (CPI) SAP PI/PO APIs (REST, SOAP, OData) IDocs, RFCs, Event-driven architectures Ability to design end-to-end integration patterns across SAP and non-SAP systems (CRM, eCommerce, SCM, WMS, POS, Finance apps). Ability to enforce coding standards, reusable component frameworks, and conduct technical reviews. Working knowledge of SAP on Cloud (Azure, AWS, GCP). Strong understanding of SAP security architecture, roles/authorization, SSO, encryption, and compliance requirements. Proven experience leading SAP technical tracks in large implementations, migrations, or S/4HANA transformations. Experience conducting technical impact assessments, solution reviews, and performance troubleshooting. Desirable Skils: Familiarity with TOGAF, Zachman, or SAP's Enterprise Architecture Framework. Exposure to microservices-based architectures and event-driven systems (eg, Kafka, Event Hub). Experience with SAP BTP advanced services (Workflow, Business Rules, Event Mesh, API Management). Knowledge of DevOps/CI-CD pipelines (Azure DevOps, GitHub Actions, Jenkins). Knowledge of SAP BW/4HANA, SAP Analytics Cloud (SAC), or cloud-native analytics solutions. Experience with API-led integration, micro-APIs, and API governance. Experience in complex enterprise environments such as retail, manufacturing, FMCG, pharma, or supply chain-heavy industries. Hands-on exposure to Fiori Elements & custom UI5 apps and Side-by-side extensions on SAP BTP Experience leading architecture review boards (ARB) or governance forums. Capability to mentor technical teams and guide large multi-vendor delivery environments. Ability to influence C-level stakeholders with well-structured architecture recommendations Due to the volume of applications received, unfortunately we cannot respond to everyone. If you do not hear back from us within 7 days of sending your application, please assume that you have not been successful on this occasion.

Senior Dynamics 365 CE and Power Platform Developer - Glasgow - Hybrid working 60,000 - 75,000 + Benefits We are working with a large food production company who are looking to bring in an experienced technical specialist to lead hands-on development across Dynamics 365 (model-driven and customer engagement apps), Power Apps (canvas and model-driven) and Power Automate cloud flows. This is a high-impact role with genuine architectural ownership across a strategically important platform. We are seeking a Senior Microsoft Dynamics Developer with proven architectural capability to lead the design, delivery and assurance of complex Dynamics 365 and Power Platform solutions. This is a senior, hands-on role that combines deep technical development with solution architecture: you will shape best-practice patterns, scope and validate solution designs, oversee a multi-disciplinary delivery team and act as the technical authority across an estate with multiple integrations into Azure services and third-party systems. You will work closely with product owners, enterprise architects, integration engineers and business stakeholders to ensure that solutions are scalable, maintainable, secure and aligned to the long-term technology roadmap. The successful candidate will balance pragmatic delivery with architectural rigour, maintaining a high-quality code base while providing surety and oversight across concurrent workstreams. Key Responsibilities Architecture & Design Design end-to-end solutions across Dynamics 365, Power Apps, Power Automate and Dataverse, ensuring alignment with enterprise architecture standards. Scope, estimate and validate solution designs, challenging requirements where appropriate and recommending the right balance between configuration, low-code and pro-code approaches. Define and enforce best-practice patterns for solution structure, ALM, environment strategy, security models and data architecture within Dataverse. Produce and maintain architecture artefacts including high-level designs, integration diagrams, data models and decision records. Development & Delivery Lead hands-on development across Dynamics 365 (model-driven and customer engagement apps), Power Apps (canvas and model-driven) and Power Automate cloud flows. Build and extend solutions using plugins, custom connectors, PCF controls, JavaScript/TypeScript, C#/.NET and the Dataverse Web API. Oversee high-quality delivery by setting coding standards, reviewing pull requests and ensuring test coverage, performance and security non-functional requirements are met. Maintain and curate a healthy, well-documented code base, actively reducing technical debt and refactoring legacy components where needed. Integration & Azure Design and implement integrations between Dynamics, Dataverse and a wide range of internal and external systems using Azure services such as Azure Functions, Logic Apps, API Management, Service Bus and Event Grid. Ensure integration patterns are resilient, observable and secure, applying appropriate authentication, throttling, retry and error-handling strategies. Work with platform and DevOps teams to embed CI/CD pipelines (Azure DevOps or GitHub Actions) for solution deployment, automated testing and environment promotion. Oversight & Assurance Provide architectural oversight and technical surety across concurrent projects, acting as the senior point of escalation for design and delivery decisions. Mentor and coach developers and junior architects, raising the technical bar across the team. Engage with vendors, partners and third-party suppliers to assure the quality of externally delivered work. Contribute to the technology roadmap, identifying opportunities to modernise, consolidate or retire components of the estate. Essential Experience Significant hands-on experience as a Dynamics 365 developer, with demonstrable progression into a senior or architect-level role. Deep expertise across the Power Platform: Power Apps (canvas and model-driven), Power Automate and the Dataverse platform, including security roles, business rules, business process flows and the Dataverse data model. Strong development skills in C#/.NET, JavaScript/TypeScript, plugins, custom workflow activities and the Dataverse Web API and SDK. Proven experience designing and delivering integrations using Azure services (Functions, Logic Apps, API Management, Service Bus, Key Vault, Application Insights). Solid understanding of ALM for Power Platform, including solution layering, managed vs unmanaged solutions, Power Platform Build Tools and pipeline-based deployment. Experience operating in complex environments with multiple integrations, regulatory or compliance constraints, and concurrent delivery streams. Demonstrable architectural capability: producing HLDs/LLDs, leading design authority discussions and validating solutions against best-practice patterns. Strong stakeholder management and communication skills, with the ability to translate technical concepts for non-technical audiences. Desirable Relevant Microsoft certifications such as PL-600 (Solution Architect), PL-400 (Developer), MB-500 or AZ-305. Experience with Power Pages, Copilot Studio and AI Builder. Familiarity with Azure Synapse, Microsoft Fabric or Dataverse-to-data-lake patterns for analytics and reporting. Exposure to Agile/Scrum delivery and scaled frameworks such as SAFe. Benefits: 4 x Death in service cover Single Healthcare cover Pension salary Exchange scheme Paid holidays This role requires you to be based in the office in Glasgow 4 days per week so you must be within commutable distance or be open to relocating. There is no sponsorship offered for this role so you must have a valid right to work in the UK. We are interviewing currently so apply now for immediate consideration for the Senior D365 and Power Platform Developer position or contact Stuart Barnes at ITSS Recruitment for further information.

AI Engineer Are you ready to build the future of AI from the ground up? Our client are not buying off-the-shelf solutions. They're custom-building everything - from infrastructure to intelligent agents - to create a best-in-class AI platform that redefines what's possible in enterprise automation. We're currently looking for a high-impact AI Engineer to join their London-based team and help design and develop agentic AI systems that can reason, plan, and act autonomously across complex business domains. What You'll Be Doing Designing and implementing agentic AI systems capable of autonomous decision-making and task execution. Building custom LLM pipelines, memory architectures, and tool-use frameworks. Collaborating with product and engineering teams to integrate AI into real-world workflows. Contributing to the development of our proprietary AI platform - no plug-and-play, all innovation. What We're Looking For Proven experience in building AI/ML systems, ideally with Azure OpenAI, Azure Cognitive Services Azure Machine Learning. Strong Python skills and familiarity with modern AI frameworks (e.g., LangChain, Hugging Face, PyTorch). Deep understanding of LLMs, vector databases, prompt engineering, and multi-agent systems. Passion for building from scratch - you thrive in greenfield environments. Based in or near London, with the ability to be onsite once a week. Why Join Us? Be part of a visionary team building something truly unique. Work on cutting-edge AI challenges with full ownership and creative freedom. Hybrid flexibility with a vibrant London office. Competitive salary, equity options, and a culture of innovation. Strong Python skills and familiarity with modern AI frameworks (e.g., LangChain, Hugging Face, PyTorch). Deep understanding of LLMs, vector databases, prompt engineering, and multi-agent systems. Passion for building from scratch - you thrive in greenfield environments. Based in London, with the ability to be onsite once a week. Why Join Us? Be part of a visionary team building something truly unique. Work on cutting-edge AI challenges with full ownership and creative freedom. Hybrid flexibility with a vibrant London office. Competitive salary, equity options, and a culture of innovation. To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales

Microsoft Fabric Azure Lakehouse Data Engineering Not all Data Engineering roles are created equal. Some involve maintaining legacy ETL processes and producing reports nobody reads. This isn't one of those roles You will help shape and enhance a modern cloud-based data platform that's central to how a large, complex organisation makes decisions, improves services and drives transformation. You'll be joining a well-established data function where Data Governance, Architecture, Engineering and BI all work together to build something genuinely valuable. The foundations are already in place. Now it's about taking things to the next level. What you'll be doing You'll play a key role in designing, building and optimising a modern Microsoft data platform centred around Fabric, Lakehouse architecture and scalable data pipelines. Working closely with your data colleagues and wider technology teams, you'll help ensure high-quality data flows seamlessly across the organisation. Your responsibilities will include: Building and maintaining data pipelines using Microsoft Fabric Designing and optimising Lakehouse and data storage solutions Developing ETL and data transformation processes Integrating data from multiple business-critical applications Creating scalable and efficient data models Improving data quality, governance and reliability Supporting testing, performance monitoring and continuous improvement initiatives Collaborating with technical and non-technical stakeholders to turn business requirements into robust data solutions What we're looking for We're less interested in job titles and more interested in capability. You'll likely have experience in several of the following: Microsoft Fabric Azure Data Factory Advanced SQL Data Warehousing / Data Lakes / Lakehouse Architecture ETL Development Data Modelling Power BI You'll also be someone who enjoys solving complex problems, improving processes and working collaboratively within a modern technology environment. This is a 2 year Fixed Term Contract where you will visit the central London offices once a fortnight. The ideal person You'll thrive here if you: Enjoy building rather than maintaining Like working on enterprise-scale data challenges Can translate business requirements into technical solutions Care about data quality and engineering best practice Enjoy working with architects, analysts and stakeholders across the business Want to help shape the future direction of a growing data platform Why apply? This is an opportunity to work with one of the most modern Microsoft data stacks available today, including Microsoft Fabric, while helping evolve a large-scale data environment that continues to grow in both complexity and importance. If you're a Data Engineer who enjoys building scalable cloud-based solutions and wants to make a genuine impact rather than simply keeping the lights on, we'd love to hear from you. Apply now for a confidential conversation.

Lead AI & Data Scientist Global Professional Services Firm Location: London Working: Hybrid (3 days office / 2 days remote) Salary: Up to £140k + bonus & benefitsThe RoleA senior leadership opportunity within a global professional services organisation investing heavily in Data & AI.You'll play a key role in shaping and delivering the firm's AI roadmap, working closely with senior stakeholders to identify high-value use cases and take them from concept through to production.This is a hands-on leadership role combining Data Science, GenAI, Solution Architecture and stakeholder engagement, focused on delivering AI-powered solutions that drive measurable business impact.Key Responsibilities Define the technical strategy for Data & AI initiatives across the business Lead the design and delivery of GenAI, NLP, Machine Learning and RAGbased solutions Translate complex business challenges into scalable AI products and capabilities Own architecture patterns covering orchestration, retrieval, monitoring, evaluation and governance Deliver AI use cases across document intelligence, knowledge search, workflow automation and AI assistants Partner with business, product and engineering teams to embed AI into core processes Evaluate emerging AI technologies and thirdparty vendors Establish best practice around Responsible AI, model evaluation and production deployment Mentor Data Scientists and provide technical leadership across delivery teams Key Requirements Proven experience leading Data Science, Machine Learning or GenAI initiatives within complex organisations Experience building and deploying LLMpowered applications Strong knowledge of RAG, embeddings, vector databases and retrieval architectures Experience with Azure, Databricks and modern cloudbased AI platforms Track record delivering AI solutions into production environments Experience defining governance, monitoring and Responsible AI controls Excellent stakeholder management and communication skills Experience delivering AI solutions across documentheavy environments, particularly legal services, would be advantageous This is an opportunity to shape how AI is adopted across a global organisation and play a leading role in moving innovative AI solutions from concept to enterprise-scale deployment.No sponsorship available.Get in touch for more details - McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

We are seeking an experienced Senior SOAR Engineer to join the Cyber Security function of a leading investment bank. This is a key technical role within the Security Engineering team, where you will act as the primary owner of the SOAR platform, driving its design, configuration, maintenance, and continuous enhancement. You will provide deep technical expertise across the SOAR estate, ensuring the platform operates in line with enterprise security, resilience, and compliance standards. This role requires strong architectural capability, hands-on engineering experience, and the ability to collaborate across Security Operations, Engineering, and DevOps teams. What you'll do: Act as the Subject Matter Expert (SME) for Security Orchestration, Automation and Response (SOAR). Lead the configuration, enhancement, and ongoing maintenance of the SOAR platform (Chronicle SOAR). Own and maintain architectural documentation, including High-Level Designs (HLD) and Low-Level Designs (LLD). Design, implement, and maintain integration between the SOAR platform and wider security tooling. Develop and maintain standard operating procedures covering:Platform administration Playbook and content management Change, version, and patch management Platform life cycle management Collaborate closely with Security Operations, Engineering, and DevOps teams to ensure platform stability, scalability, and continuous improvement. Ensure adherence to enterprise security frameworks, governance, and compliance standards What you'll bring: Strong hands-on experience deploying, maintaining, and supporting Chronicle SOAR. Proficiency in Python, PowerShell, and JavaScript. Experience with GCP or Azure cloud environments. (preferably on GCP) Solid understanding of security frameworks such as MITRE ATT&CK and NIST CSF. Strong documentation and architectural design experience (HLD/LLD). Experience within Banking or Financial Services. Exposure to DevOps tooling, preferably Terraform. Experience working with ML/AI and data tooling within GCP environments. Familiarity with Agile or iterative delivery models. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

Software Engineer (AI & Full Stack) - Senior Consultant Salary: 60,000 - 70,000 pa + 4,000 Bonus plus benefits, perks and healthcare options Base locations: London, Manchester, Newcastle or Glasgow Job Type: Permanent Hybrid (2 days per week) Occasional travel to client site Overview: We're looking for a Software Engineer with strong frontend and backend development skills and experience with various GenAI frameworks to join a growing team delivering innovative AI-powered solutions for enterprise clients. This is an opportunity to work at the intersection of modern software engineering and Generative AI, building intelligent applications that solve real business challenges. You'll collaborate with senior stakeholders, architects, and engineering teams to design, develop, and scale production-ready solutions using the latest AI technologies and cloud-native engineering practices. Key Skills: AI & GenAI: LLMs, RAG, Agents, LangChain, LangGraph, CrewAI, Vercel AI SDK, OpenAI, Anthropic, Mistral, Llama. Full Stack Engineering: Python, TypeScript, React, APIs, Microservices, FastAPI. Cloud & DevOps: AWS/Azure, Docker, Kubernetes, Terraform, CI/CD. Data & Vector Search: PostgreSQL, MongoDB, Pinecone, Qdrant, ChromaDB, PGVector. Observability & Tooling: LangSmith, Langfuse, Git, GitHub, GitLab. Your Role: Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents. Scale existing POCs to production-ready solutions for customer use. Design and develop Full Stack applications for both GenAI and non-GenAI projects. Support the development of infrastructure to enable robust end-to-end solutions. Grow your skills by exploring and experimenting with emerging technologies, including GenAI. Your skills and experience: Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc. NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred). SQL: Experience working with SQL databases like PostgreSQL. Proficient in Git and version control platforms like GitHub, GitLab, etc. To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. If you're ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you! Please send updated CV

Software Engineer (AI & Full Stack) - Senior Consultant Salary: 60,000 - 70,000 pa + 4,000 Bonus plus benefits, perks and healthcare options Base locations: London, Manchester, Newcastle or Glasgow Job Type: Permanent Hybrid (2 days per week) Occasional travel to client site Overview: We're looking for a Software Engineer with strong frontend and backend development skills and experience with various GenAI frameworks to join a growing team delivering innovative AI-powered solutions for enterprise clients. This is an opportunity to work at the intersection of modern software engineering and Generative AI, building intelligent applications that solve real business challenges. You'll collaborate with senior stakeholders, architects, and engineering teams to design, develop, and scale production-ready solutions using the latest AI technologies and cloud-native engineering practices. Key Skills: AI & GenAI: LLMs, RAG, Agents, LangChain, LangGraph, CrewAI, Vercel AI SDK, OpenAI, Anthropic, Mistral, Llama. Full Stack Engineering: Python, TypeScript, React, APIs, Microservices, FastAPI. Cloud & DevOps: AWS/Azure, Docker, Kubernetes, Terraform, CI/CD. Data & Vector Search: PostgreSQL, MongoDB, Pinecone, Qdrant, ChromaDB, PGVector. Observability & Tooling: LangSmith, Langfuse, Git, GitHub, GitLab. Your Role: Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents. Scale existing POCs to production-ready solutions for customer use. Design and develop Full Stack applications for both GenAI and non-GenAI projects. Support the development of infrastructure to enable robust end-to-end solutions. Grow your skills by exploring and experimenting with emerging technologies, including GenAI. Your skills and experience: Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc. NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred). SQL: Experience working with SQL databases like PostgreSQL. Proficient in Git and version control platforms like GitHub, GitLab, etc. To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. If you're ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you! Please send updated CV

Software Engineer (AI & Full Stack) - Senior Consultant Salary: 60,000 - 70,000 pa + 4,000 Bonus plus benefits, perks and healthcare options Base locations: London, Manchester, Newcastle or Glasgow Job Type: Permanent Hybrid (2 days per week) Occasional travel to client site Overview: We're looking for a Software Engineer with strong frontend and backend development skills and experience with various GenAI frameworks to join a growing team delivering innovative AI-powered solutions for enterprise clients. This is an opportunity to work at the intersection of modern software engineering and Generative AI, building intelligent applications that solve real business challenges. You'll collaborate with senior stakeholders, architects, and engineering teams to design, develop, and scale production-ready solutions using the latest AI technologies and cloud-native engineering practices. Key Skills: AI & GenAI: LLMs, RAG, Agents, LangChain, LangGraph, CrewAI, Vercel AI SDK, OpenAI, Anthropic, Mistral, Llama. Full Stack Engineering: Python, TypeScript, React, APIs, Microservices, FastAPI. Cloud & DevOps: AWS/Azure, Docker, Kubernetes, Terraform, CI/CD. Data & Vector Search: PostgreSQL, MongoDB, Pinecone, Qdrant, ChromaDB, PGVector. Observability & Tooling: LangSmith, Langfuse, Git, GitHub, GitLab. Your Role: Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents. Scale existing POCs to production-ready solutions for customer use. Design and develop Full Stack applications for both GenAI and non-GenAI projects. Support the development of infrastructure to enable robust end-to-end solutions. Grow your skills by exploring and experimenting with emerging technologies, including GenAI. Your skills and experience: Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc. NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred). SQL: Experience working with SQL databases like PostgreSQL. Proficient in Git and version control platforms like GitHub, GitLab, etc. To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. If you're ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you! Please send updated CV

Senior AI Engineer Manchester A growing technology-led business is seeking a Senior AI Engineer to play a pivotal role in shaping and delivering its AI strategy. This is a senior-level, hands-on position responsible for designing, building, and deploying enterprise-grade AI solutions that drive measurable business value across the organisation. Working closely with IT, Data, Engineering, and senior business stakeholders, you will lead the development and implementation of advanced AI solutions, leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Machine Learning, and Azure AI services. You will provide technical leadership, establish best practices, and help build the organisation s long-term AI capability. The business is investing heavily in AI and is looking for someone who can combine deep technical expertise with strategic thinking, taking solutions from concept through to production deployment and adoption. The ideal candidate will have a strong foundation in AI Engineering combined with a robust Data Science background, enabling them to develop, evaluate, and optimise AI solutions that deliver measurable business outcomes. This role would suit an experienced AI professional who enjoys solving complex business challenges, mentoring others, influencing technical direction, and delivering innovative AI solutions at scale. Role Purpose As a Senior AI Engineer, you will lead the design, development, deployment, and optimisation of enterprise AI solutions, ensuring they are secure, scalable, maintainable, and aligned to business objectives. You will act as a subject matter expert for AI technologies, helping to define architecture, establish standards, and guide the organisation s AI roadmap while remaining hands-on with implementation. Key Responsibilities Design, develop, and deploy advanced AI and Machine Learning solutions to solve complex business challenges. Lead the architecture and implementation of production-grade AI applications using LLMs, RAG pipelines, AI Agents, and Azure AI services. Provide technical leadership across AI initiatives, ensuring solutions follow best practices for scalability, security, performance, and governance. Own the full AI development lifecycle, from discovery and proof-of-concept through to production deployment and business adoption. Develop and optimise AI models, prompt engineering frameworks, vector databases, and retrieval systems. Design and implement AI agent architectures, workflow automation, and API integrations. Collaborate with Infrastructure and Engineering teams to deploy AI solutions securely within enterprise environments. Ensure solutions leverage Private Endpoints, secure networking, identity management, and enterprise-grade governance controls. Establish monitoring, evaluation, and observability frameworks for AI systems, including hallucination detection, model drift monitoring, performance tracking, and cost optimisation. Partner with operational and commercial stakeholders to identify high-value AI opportunities and define business cases. Measure and report on AI project outcomes, including efficiency gains, automation benefits, cost savings, and customer experience improvements. Mentor and support other technical team members, promoting AI best practices and knowledge sharing across the organisation. Contribute to the development of the organisation s AI strategy, roadmap, and future capability. Required Experience Essential Significant commercial experience in AI Engineering, Machine Learning Engineering, Applied AI, or Data Science roles. Expert-level Python development skills and deep experience with modern AI/ML frameworks and SDKs. Proven experience designing and deploying production-grade RAG solutions and LLM-powered applications. Strong experience building and deploying AI agents, orchestration frameworks, and automated workflows. Experience with Azure AI Services, Azure OpenAI, Azure Machine Learning, or equivalent enterprise AI platforms. Strong understanding of enterprise cloud architecture, including VNets, Entra ID, API Gateways, networking, and secure integrations. Experience deploying and managing AI workloads within production environments. Strong SQL and data engineering skills, working with both structured and unstructured datasets. Ability to translate complex datasets into actionable insights and AI-driven business solutions. Experience implementing AI governance, security, monitoring, and operational best practices. Excellent communication, leadership, stakeholder management, and problem-solving skills. Highly Desirable Strong Data Science background, with experience in statistical modelling, predictive analytics, feature engineering, experimentation, and model evaluation. Experience applying Data Science methodologies to solve complex business problems and identify opportunities for AI adoption. Experience with GenAIOps, LLMOps, MLOps, and AI observability platforms. Exposure to Computer Vision, OCR, Voice AI, Conversational AI, or multimodal AI solutions. Experience working within operational, retail, automotive, logistics, or customer-centric organisations. Knowledge of Responsible AI, AI governance frameworks, and regulatory considerations. Previous experience leading AI initiatives, mentoring engineers, or helping define AI strategy and roadmap. Experience building or contributing to an AI Centre of Excellence or internal AI capability function. What We're Looking For We're looking for someone who combines deep technical expertise with commercial awareness and a pragmatic approach to AI delivery. You'll be comfortable operating at both strategic and hands-on levels, engaging with senior stakeholders while also designing, developing, and deploying solutions yourself. You should be passionate about emerging AI technologies and have a track record of turning innovative ideas into production-ready solutions that create measurable business value. Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangement 3 days in the office / 2 days remote Opportunity to lead and shape enterprise AI capability Exposure to high-profile AI transformation initiatives Strong long-term career progression opportunities Ongoing investment in training, certifications, and professional development Interested? If you're an experienced AI Engineer or Data Science professional looking to take ownership of impactful AI initiatives and help shape the future direction of AI within a growing organisation, we'd love to hear from you. Apply now for the Senior AI Engineer opportunity in Manchester. Senior AI Engineer Manchester

Senior Cloud Ops Engineer Location: Durrington, Worthing (Hybrid) Contract Type: Permanent Salary: Circa 70K + bonus. Hours: 37 hours The Senior Cloud Operations Engineer plays a critical role in the design, implementation, and ongoing operation of the client's cloud infrastructure, with a strong emphasis on Microsoft Azure. As a key technical contributor within the Cloud Operations function, you will be responsible for ensuring that cloud-based services are available, secure, efficient, and cost-effective. This includes provisioning and managing compute, storage, networking, and identity services, as well as supporting the use of advanced PaaS capabilities and analytics platforms. Responsibilities to include: Azure Cloud Engineering Build, configure, and maintain Azure cloud environments (IaaS, PaaS, storage, networking, identity). Deploy and support Azure Landing Zones in line with enterprise architecture standards. Support the transition from IaaS to PaaS services by designing and implementing modern cloud-native solutions. Monitor and manage cloud workloads to ensure availability, performance, and security. Operations & Automation Implement infrastructure as code (IaC) using tools such as Bicep, ARM templates, or Terraform. Automate provisioning, scaling, and maintenance of cloud resources using DevOps pipelines and scripts (PowerShell, Azure CLI, CI/CD etc.). Monitor system health, respond to incidents, and participate in root cause analysis and continuous improvement. Security, Governance & Compliance Enforce cloud security best practices, including role-based access control (RBAC), encryption, and secure networking. Support compliance with internal policies and regulatory standards by ensuring guardrails and policies are in place. Cost Management & FinOps Support Contribute to cost optimization by right-sizing resources and identifying opportunities to reduce waste. Use Azure Cost Management tools and dashboards to track and forecast cloud spend. Provide reporting and insights to the Cloud Operations Manager and Finance teams. Process Development & Documentation Document standard operating procedures, cloud configurations, and runbooks. Collaboration & Support Work with infrastructure architects, data platform teams, developers, and project teams to support solution delivery. Act as an escalation point for cloud-related incidents and changes. Assist with service transitions, knowledge transfer, and training for BAU support teams. Disaster Recovery & Business Continuity Support the implementation and testing of disaster recovery and business continuity plans related to cloud infrastructure. Ensure cloud services are resilient and recoverable in line with Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO). Collaborate with the DR/BCP team to maintain and update recovery procedures and test plans. Recommend improvements or innovations based on emerging technologies and industry trends. Knowledge and skills needed: Bachelor's degree in Computer Science, Information Technology, or a related field or equivalent work experience. Extensive experience with Microsoft Azure cloud services and PaaS/IaaS solutions. Strong knowledge of landing zone architecture and best practices. Proven experience in defining and implementing cloud infrastructure standards and best practices. Infrastructure as Code (IaC): Knowledge of IaC tools like Terraform or CloudFormation to provision and manage infrastructure resources programmatically. Containerisation and Orchestration: Proficient with container technologies like Docker and container orchestration platforms such as Kubernetes. Automation: Strong scripting skills (e.g., Python, PowerShell) and the ability to automate routine tasks and deployment processes for efficiency and consistency. Security: Expertise in cloud security best practices, identity and access management (IAM), encryption, and compliance frameworks (e.g., PCI DSS, NIST). Networking: Strong knowledge of cloud networking concepts, including virtual networks, subnets, security groups, load balancers, and VPN configurations. DevOps Principles: An understanding of DevOps practices and the ability to integrate development and operations workflows for faster and more reliable deployments. FinOps (Cloud Financial Operations): Experience with managing cloud costs, optimising cloud spending, and implementing FinOps principles to drive cost-effective cloud strategies while balancing performance and scalability. Capability required: Cloud Platform Expertise: Expert in MS Azure with a deep understanding of its services, features, and capabilities. Scaling and Performance Optimisation: Ability to scale cloud resources based on demand and optimize resource utilization for cost-effectiveness. Cloud Security and Compliance: Expertise in applying security best practices, including identity and access management (IAM), encryption, regulatory compliance and cloud-native security tools. Troubleshooting: Strong problem-solving and debugging skills to identify and resolve issues quickly. Documentation: Thorough documentation of configurations, processes, and procedures to ensure clarity and knowledge sharing. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission.

Solution Architect (Java, Spring Boot, Microservices) Location: Wembley, On-site Salary: Up to 85,000 + benefits 1 stage interview (ASAP) We're looking for an experienced Solution Architect to join a high-performing technology team delivering complex, enterprise-scale platforms. This role is ideal for someone who thrives in a hands-on architecture environment, enjoys solving deep technical challenges, and can confidently govern third-party delivery to high standards. The Role You'll play a key role in designing and shaping scalable, resilient systems across e-commerce and integration platforms. Working closely with internal teams and external vendors, you'll ensure solutions are robust, secure, and aligned with long-term architectural vision. Key Responsibilities Architecture & Design: Produce high-quality High-Level Designs (HLDs) and Low-Level Designs (LLDs) across core platforms and strategic initiatives. Vendor Governance: Review and audit third-party code and architecture to ensure adherence to defined standards and best practices. Integration Leadership: Lead complex data integrations between legacy systems and modern API-driven middleware environments. Problem Resolution: Investigate recurring system issues (e.g. performance, errors, data inconsistencies) and implement sustainable, long-term solutions. Documentation: Maintain clear and comprehensive architectural documentation to support knowledge transfer and ongoing system evolution. What We're Looking For Experience: 5+ years in Solution Architecture Strong background in e-commerce platforms or API/middleware environments Technical Expertise: Strong knowledge of Node.js, Java (Spring Boot), and PostgreSQL Ability to review and critique code as well as architectural designs Integration & Architecture: Strong experience with API-led architecture, webhooks, and event-driven systems Familiarity with Kafka or Azure Event Hubs Modernisation: Proven experience migrating legacy systems into cloud-based microservices architectures Tools & Certification: Experience with Visio or Lucidchart for design Strong documentation practices (e.g. Confluence) Azure architecture certification (e.g. AZ-305) or equivalent experience

Data Architect Up to £120,000 We are seeking a Data Architect to act as a subject matter expert in building and scaling modern data platforms within the Environmental Services sector. This is a high-impact role focused on designing, evolving and delivering enterprise-grade data platforms on Azure. You will take ownership of an end-to-end data domain currently undergoing a multi-year transformation, helping to uplift legacy platforms into a modern, federated data architecture. This includes working on a 2-year roadmap to rebuild and optimise the platform using a range of cloud-native technologies. The role requires a hands-on architect who can define the architecture and data strategy while actively supporting engineering teams in delivery. You will play a key role in modernising data capabilities, improving data quality and enabling scalable analytics through robust platform design. Responsibilities Own and lead the architecture and delivery of a modern data platform on Azure Define and implement a scalable, federated data architecture aligned to business strategy Drive adoption of best-practice architectural patterns including Medallion architecture (Bronze, Silver, Gold layers) Develop and maintain enterprise data models and master data management frameworks Work hands-on with engineering teams to guide implementation and ensure architectural integrity Facilitate workshops with stakeholders to gather requirements and align on data strategy Present architectural designs and recommendations to senior stakeholders Skills and Experience Strong experience as a hands-on Data Architect within complex enterprise environments Proven track record of building and modernising data platforms, ideally within Azure Deep understanding of modern data architecture patterns, including federated architectures and data-as-a-product concepts Experience with large-scale data processing and data pipeline development What's on Offer Salary up to £120,000 Remote first working - occasional visits to HQ for workshops (on average once per month) Opportunity to lead the build of a modern, enterprise-scale data platform within environmental services Exposure to cutting-edge Azure data technologies and architecture practices This is a brief overview of the opportunity. To learn more, apply with your CV and we'll be in touch to discuss the role in more detail.

Role Title: Omada IGA Engineer Duration: contract to run until 25/12/2026 Location: Warwick. Hybrid 2-3 days per week onsite Rate: up to £368 p/d Umbrella inside IR35 Clearance : SC Eligibility is required Role purpose/summary The Omada IGA Engineer is responsible for the design, configuration, implementation, and support of the Omada Identity Governance & Administration (IGA) platform, ensuring secure and compliant identity life cycle management across enterprise and Critical National Infrastructure (CNI) systems. The role enables access governance, provisioning, recertification, and audit compliance, aligned to regulatory standards (eg, NIS, CAF, audit requirements). Key Responsibilities Platform Engineering & Configuration Configure and maintain the Omada IGA platform, including: Roles, policies, workflows, and access models Identity life cycle processes (Joiner/Mover/Leaver) Ensure platform configuration supports least privilege and governance controls Maintain Omada as a governed system itself using built-in governance features Integration & Data Management Integrate Omada with: Authoritative sources (eg, HR systems like SAP SuccessFactors, ServiceNow) Target systems (eg, Active Directory, SCADA, enterprise apps) Manage identity and access data ingestion using APIs, connectors, or file-based integration (eg, CSV in air-gapped environments) Role & Access Modelling Design and implement business roles and technical role structures: Map AD groups/permissions into business-friendly roles Enable requestable roles for users and meaningful certification Support access certification campaigns and segregation of duties (SoD) enforcement Access Governance & Compliance Implement and manage: Access requests and approvals workflows Periodic access reviews/recertification campaigns Policy enforcement (least privilege, SoD) Ensure audit readiness through: Traceability of access decisions Evidence generation for regulatory compliance Identity Lifecycle Management Automate and manage: Joiner, Movers, Leavers (JML) processes Account reconciliation and orphan account identification Support correlation of identities across systems and remediation of uncorrelated accounts. All IGA controls Testing & Environment Support Support: Functional, integration, and performance testing Test data preparation and validation Ensure environment stability and readiness across Dev, Test, and Production Operations & Support Provide BAU support for the Omada platform: Incident management Change implementation Release deployments Monitor workflows, integrations, and data quality Stakeholder & Delivery Collaboration Work closely with: IAM Architects, Security, and Engineering teams Business stakeholders and application owners Translate business requirements into technical IGA solutions Key Skills & Experience Strong experience with Omada Identity Suite/Omada Identity Cloud and any other IGA Technologies like SailPoint, Saviynt, D1M. IAM/IGA concepts: RBAC, ABAC JML life cycle Access certification Integration knowledge: APIs (eg, OData in Omada) Active Directory, Azure AD/Entra ServiceNow/HR systems Domain Knowledge Identity Governance in regulated environments (CNI, utilities, financial services) Understanding of: NIS Regulations NCSC CAF principles Audit and compliance requirements All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply! If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

Solution Architect (Java, Spring Boot, Microservices) Location: Wembley, On-site Salary: Up to £85,000 + benefits 1 stage interview (ASAP) We're looking for an experienced Solution Architect to join a high-performing technology team delivering complex, enterprise-scale platforms. This role is ideal for someone who thrives in a hands-on architecture environment, enjoys solving deep technical challenges, and can confidently govern third-party delivery to high standards. The Role You'll play a key role in designing and shaping scalable, resilient systems across E-commerce and integration platforms. Working closely with internal teams and external vendors, you'll ensure solutions are robust, secure, and aligned with long-term architectural vision. Key Responsibilities Architecture & Design: Produce high-quality High-Level Designs (HLDs) and Low-Level Designs (LLDs) across core platforms and strategic initiatives. Vendor Governance: Review and audit third-party code and architecture to ensure adherence to defined standards and best practices. Integration Leadership: Lead complex data integrations between Legacy systems and modern API-driven Middleware environments. Problem Resolution: Investigate recurring system issues (eg performance, errors, data inconsistencies) and implement sustainable, long-term solutions. Documentation: Maintain clear and comprehensive architectural documentation to support knowledge transfer and ongoing system evolution. What We're Looking For Experience: 5+ years in Solution Architecture Strong background in E-commerce platforms or API/Middleware environments Technical Expertise: Strong knowledge of Node.js, Java (Spring Boot), and PostgreSQL Ability to review and critique code as well as architectural designs Integration & Architecture: Strong experience with API-led architecture, webhooks, and event-driven systems Familiarity with Kafka or Azure Event Hubs Modernisation: Proven experience migrating Legacy systems into cloud-based microservices architectures Tools & Certification: Experience with Visio or Lucidchart for design Strong documentation practices (eg Confluence) Azure architecture certification (eg AZ-305) or equivalent experience

Senior Cloud Ops Engineer Location: Durrington, Worthing (Hybrid) Contract Type: Permanent Salary: Circa 70K + bonus. Hours: 37 hours The Senior Cloud Operations Engineer plays a critical role in the design, implementation, and ongoing operation of the client's cloud infrastructure, with a strong emphasis on Microsoft Azure. As a key technical contributor within the Cloud Operations function, you will be responsible for ensuring that cloud-based services are available, secure, efficient, and cost-effective. This includes provisioning and managing compute, storage, networking, and identity services, as well as supporting the use of advanced PaaS capabilities and analytics platforms. Responsibilities to include: Azure Cloud Engineering Build, configure, and maintain Azure cloud environments (IaaS, PaaS, storage, networking, identity). Deploy and support Azure Landing Zones in line with enterprise architecture standards. Support the transition from IaaS to PaaS services by designing and implementing modern cloud-native solutions. Monitor and manage cloud workloads to ensure availability, performance, and security. Operations & Automation Implement infrastructure as code (IaC) using tools such as Bicep, ARM templates, or Terraform. Automate provisioning, scaling, and maintenance of cloud resources using DevOps pipelines and scripts (PowerShell, Azure CLI, CI/CD etc.). Monitor system health, respond to incidents, and participate in root cause analysis and continuous improvement. Security, Governance & Compliance Enforce cloud security best practices, including role-based access control (RBAC), encryption, and secure networking. Support compliance with internal policies and regulatory standards by ensuring guardrails and policies are in place. Cost Management & FinOps Support Contribute to cost optimization by right-sizing resources and identifying opportunities to reduce waste. Use Azure Cost Management tools and dashboards to track and forecast cloud spend. Provide reporting and insights to the Cloud Operations Manager and Finance teams. Process Development & Documentation Document standard operating procedures, cloud configurations, and runbooks. Collaboration & Support Work with infrastructure architects, data platform teams, developers, and project teams to support solution delivery. Act as an escalation point for cloud-related incidents and changes. Assist with service transitions, knowledge transfer, and training for BAU support teams. Disaster Recovery & Business Continuity Support the implementation and testing of disaster recovery and business continuity plans related to cloud infrastructure. Ensure cloud services are resilient and recoverable in line with Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO). Collaborate with the DR/BCP team to maintain and update recovery procedures and test plans. Recommend improvements or innovations based on emerging technologies and industry trends. Knowledge and skills needed: Bachelor's degree in Computer Science, Information Technology, or a related field or equivalent work experience. Extensive experience with Microsoft Azure cloud services and PaaS/IaaS solutions. Strong knowledge of landing zone architecture and best practices. Proven experience in defining and implementing cloud infrastructure standards and best practices. Infrastructure as Code (IaC): Knowledge of IaC tools like Terraform or CloudFormation to provision and manage infrastructure resources programmatically. Containerisation and Orchestration: Proficient with container technologies like Docker and container orchestration platforms such as Kubernetes. Automation: Strong Scripting skills (eg, Python, PowerShell) and the ability to automate routine tasks and deployment processes for efficiency and consistency. Security: Expertise in cloud security best practices, identity and access management (IAM), encryption, and compliance frameworks (eg, PCI DSS, NIST). Networking: Strong knowledge of cloud networking concepts, including virtual networks, subnets, security groups, load balancers, and VPN configurations. DevOps Principles: An understanding of DevOps practices and the ability to integrate development and operations workflows for faster and more reliable deployments. FinOps (Cloud Financial Operations): Experience with managing cloud costs, optimising cloud spending, and implementing FinOps principles to drive cost-effective cloud strategies while balancing performance and scalability. Capability required: Cloud Platform Expertise: Expert in MS Azure with a deep understanding of its services, features, and capabilities. Scaling and Performance Optimisation: Ability to scale cloud resources based on demand and optimize resource utilization for cost-effectiveness. Cloud Security and Compliance: Expertise in applying security best practices, including identity and access management (IAM), encryption, regulatory compliance and cloud-native security tools. Troubleshooting: Strong problem-solving and debugging skills to identify and resolve issues quickly. Documentation: Thorough documentation of configurations, processes, and procedures to ensure clarity and knowledge sharing. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission.

Python Developer Location : London Role Type: Permanent Work Setup: Hybrid Salary: £100K Who We Are We are a consultancy operating within Robert Walters, the world's most trusted talent solutions business. Across the globe, we deliver recruitment, outsourcing, and talent advisory services for businesses of all sizes, opening doors for people with diverse skills, ambitions, and backgrounds. The role We have an exciting new opportunity for Python Developer to join Robert Walters as a Consultant. As a Consultant, you will benefit from permanent employment with Robert Walters and will be deployed on an assignment within our clients' organisations, in return we will provide you with the opportunity to develop your skills with ongoing training and professional support. This role offers an exciting opportunity to join a global business, providing top-tier service to our blue chip clients. What You'll Do We are seeking an experienced Senior Python Engineer to drive delivery across complex banking and risk technology projects within a regulated Financial Services environment. You'll bring strong engineering expertise, a proven track record in building scalable enterprise solutions, and experience working within regulated banking settings. Comfortable collaborating with architecture, data, QA, and business teams, you'll play a key role in a wider transformation programme. Develop scalable Python-based enterprise applications and services. Build APIs, automation tools, and integration solutions. Contribute to risk and banking technology platform development. Collaborate with QA teams to ensure production-quality outputs. Support CI/CD processes, automation, and deployments. Write clean, maintainable, well-documented code and participate in technical workshops and stakeholder discussions. What You Bring Strong Python engineering background in Banking or Financial Services. Expertise in building enterprise-grade applications and services. Solid understanding of APIs, microservices, and distributed systems. Agile delivery experience. Proficient debugging, optimisation, and problem-solving skills. Familiarity with cloud platforms and DevOps tooling. Desirable Experience Experience with exposure to risk technology or counterparty risk platforms, along with hands-on experience in AWS or Azure cloud environments. Strong knowledge of infrastructure and containerization tools such as Terraform and Kubernetes. Familiarity with CI/CD pipelines, automation frameworks, SQL, and data engineering practices. Tech Stack: Python | FastAPI/Flask | SQL | Git | CI/CD Tools | Cloud Platforms (AWS preferred) What's Next If you are ready to take the next step, apply now! Successful applicants will be contacted directly by a recruiter to discuss the role more. We are committed to creating an inclusive recruitment experience. If you require support or adjustments to the recruitment process, our Adjustment Concierge Service is here to help. Please feel free to contact us at (see below) to discuss how we can support you. This position is being recruited on behalf of our client through our Outsourcing service line. Resource Solutions Limited, trading as Robert Walters, acts as an employment business and agency, partnering with top organizations to help them find the best talent. We welcome applications from all candidates and are committed to providing equal opportunities.

D365 F&O Developer - 6-Month Contract - Hybrid (Windsor, 1 Day Onsite) - Inside IR35 We are looking for an experienced D365 F&O Developer to support the development and enhancement of enterprise-scale Microsoft Dynamics 365 Finance & Operations solutions within a complex transformation programme. You will work closely with Solution Architects, business stakeholders, and delivery teams to design, develop, and support scalable cloud-based applications across Finance, Billing, and Payments functions. Key Responsibilities Develop and customise solutions within Microsoft Dynamics 365 Finance & Operations using X and .NET Support integrations with external systems using Dataverse, DMF, Power Platform, Dual Write, and web services Collaborate with stakeholders to analyse requirements and deliver scalable technical solutions Support Azure DevOps pipelines, repositories, automation, and release processes Review and support technical designs to ensure quality and alignment with project requirements Troubleshoot and resolve technical and integration issues across the D365 environment Key Skills Required Strong hands-on D365 F&O development experience Advanced X and SQL skills Experience with .NET technologies and full life cycle ERP implementations Strong experience integrating D365 F&O with external systems and cloud platforms Azure DevOps experience including pipelines and automation Experience with Power Platform, Dataverse, DMF, and Dual Write Strong communication and stakeholder engagement skills Contract Details Duration: 6 months Day Rate: Negotiable Determination: Inside IR35 Location: Hybrid - Windsor (1 day onsite per week) Start Date: ASAP

About Scrumconnect Consulting At Scrumconnect Consulting, we help organisations deliver high-quality digital services through agile delivery, modern engineering practices, and user-centred design. Our teams work across a range of complex transformation programmes, building scalable, secure, and accessible solutions that create meaningful impact. We are looking for a highly experienced Principal Software Developer to provide technical leadership, shape engineering strategy, and drive the successful delivery of complex software solutions across multiple projects and teams. Role Overview As a Principal Software Developer, you will play a key role in defining technical direction, establishing engineering best practices, and mentoring development teams. You will collaborate with architects, product managers, delivery teams, and stakeholders to design and deliver robust, scalable, and secure software solutions. This role requires a strong technical background, excellent leadership skills, and the ability to influence engineering decisions across an organisation. Key Responsibilities Provide technical leadership across multiple projects and delivery teams. Define and drive software engineering standards, best practices, and development frameworks. Design scalable, resilient, secure, and maintainable software architectures. Lead the delivery of complex software solutions from concept through to production. Collaborate with product, delivery, architecture, and business stakeholders to align technical solutions with organisational objectives. Conduct architecture reviews, code reviews, and technical design sessions. Mentor and support software engineers, senior developers, and technical leads. Drive continuous improvement initiatives across development processes and tooling. Champion DevOps, CI/CD, cloud-native development, and automation practices. Identify and mitigate technical risks while ensuring high-quality delivery outcomes. Support recruitment, technical assessments, and capability development within engineering teams. Stay up to date with emerging technologies and industry trends, recommending improvements where appropriate. Essential Skills & Experience Extensive experience in software development and technical leadership roles. Strong expertise in one or more programming languages such as: Java JavaScript/TypeScript Node.js C# Python Go Experience designing and delivering large-scale distributed systems and microservices architectures. Strong understanding of cloud platforms such as: AWS Azure Google Cloud Platform (GCP) Experience implementing CI/CD pipelines and DevOps practices. Strong knowledge of containerisation and orchestration technologies such as Docker and Kubernetes. Experience with API design, integration patterns, and event-driven architectures. Excellent understanding of software engineering principles, design patterns, and coding standards. Experience working within Agile delivery environments. Strong stakeholder management and communication skills. Proven experience mentoring and leading engineering teams. Desirable Skills Experience working within public sector or regulated environments. Knowledge of security, accessibility, and compliance requirements. Experience with Infrastructure as Code (Terraform, CloudFormation, Bicep, etc.). Experience with data platforms, analytics, or AI-enabled solutions. Experience contributing to enterprise architecture and technology strategy. Relevant cloud, architecture, or engineering certifications. What We Offer Competitive salary and benefits package. Opportunity to work on impactful digital transformation programmes. Flexible and collaborative working environment. Professional development and learning opportunities. Access to a highly skilled community of engineers, architects, and delivery professionals. Career progression opportunities within a growing consultancy. Diversity & Inclusion Scrumconnect Consulting is committed to creating an inclusive workplace where everyone can thrive. We welcome applications from candidates of all backgrounds, experiences, and perspectives. We believe that diversity strengthens our teams and helps us build better solutions for our clients and communities. If you require any reasonable adjustments during the recruitment process, please let us know and we will be happy to support you.