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We're looking for a hands-on Azure AI Engineer to design and deploy AI solutions across a modern cloud environment. You'll rapidly prototype, build, and scale AI applications using Azure and M365 tools, helping transform business processes through intelligent automation. Client Details The employer is a respected organisation within the financial services industry, known for its commitment to technological advancements. As a medium-sized company, they provide a collaborative and forward-thinking environment to support professional growth. Description • Build and maintain a secure, scalable AI platform using Microsoft Azure and M365, • Design, develop, and deploy AI-powered solutions using tools such as Copilot Studio and Azure AI services, • Rapidly prototype AI agents and low-code/no-code solutions to solve business challenges, • Integrate AI solutions with existing systems and data platforms, • Monitor, optimise, and support deployed solutions to ensure performance and reliability, • Collaborate with stakeholders to translate business needs into technical solutions, • Ensure solutions meet governance, security, and compliance standards Profile • Strong hands-on experience with Microsoft Azure AI stack (Azure AI, OpenAI, Copilot Studio, AI Foundry), • Proven ability to build and deploy AI solutions end-to-end, • Experience with low-code/no-code AI tools and agent-based solutions, • Solid understanding of cloud architecture, DevOps, and integration patterns, • Strong programming skills (e.g. Python or similar), • Knowledge of data governance, security, and AI ethics, • Comfortable working in an agile, fast-paced environment with multiple deliverables, • Excellent communication skills with both technical and non-technical stakeholders, • Relevant Microsoft certifications highly desirable Job Offer • Competitive daily rate of £600-800 per day (Umbrella rate, Inside IR35)., • Opportunity to work on innovative AI projects in the financial services industry., • 6 month initial contract, • Based in London 2-3 days per week

MLOps Engineer, Palantir PlatformFully Remote 6 Month ContractOutside IR35£550 to £650 per dayThe Company They are a large, data driven organisation operating at scale, with a strong focus on using advanced analytics and machine learning to inform decision making. The business invests heavily in its data platforms and engineering capability, creating an environment where robust MLOps practices are essential. Teams are collaborative, delivery focused and used to working with senior technical stakeholders.The Role and Deliverables • Design, build and maintain MLOps pipelines on the Palantir Foundry platform., • Enable reliable deployment, monitoring and retraining of machine learning models in production., • Partner with data scientists and engineers to operationalise models efficiently., • Implement best practices around CI/CD, model versioning and data quality., • Support platform optimisation, scalability and reliability across environments., • Produce clear technical documentation to support ongoing delivery.Your Skills & Experience, • Strong experience in MLOps or machine learning engineering within production environments., • Hands on capability with Palantir Foundry, including pipelines and operational workflows., • Solid Python skills and experience supporting end to end ML lifecycles., • Practical knowledge of CI/CD, containerisation and cloud based infrastructure., • Confidence working with complex data systems and multiple stakeholders.How to Apply If you are an MLOps Engineer with Palantir experience looking for a meaningful contract project, please apply with your details below!

Senior Developer - Python, .NET, JavaScript / React, Azure - remote - up to £80k Skills/Experience • Proven experience as a senior developer, full-stack developer, software engineer or product engineer in a high-growth product, consultancy or customer delivery setting., • Expertise in Python, .NET and JavaScript/React, with a strong understanding of microservices, scalable APIs and modern application architecture., • Hands-on familiarity with Azure cloud computing, containerisation using Docker, orchestration using AKS, and deployment automation using GitHub, GitHub Actions and Bicep IaC., • Proficiency in Visual Studio Code, ideally with tools like GitHub Copilot or other AI-assisted development extensions., • An AI-native approach with proven experience or strong hands-on interest in Azure's AI stack, including Azure AI Foundry, Azure OpenAI, AI Search, agents and RAG patterns., • Strong practical knowledge of databases, including SQL and NoSQL platforms, schema design, data access patterns, query performance and secure data handling., • Ability to design, build and review maintainable code while following agreed coding standards, architectural guidelines and secure development practices., • Strong understanding of the SDLC - plan, design, build, implement, test and deploy - with the maturity to work independently while staying aligned with the wider team., • Excellent communication skills, with the ability to translate complex technical issues for engineering, business and customer stakeholders., • An excellent understanding of the development fundamentals - version control (Git), SDLC, agile methodologies, testing, debugging, code review, CI/CD, RESTful APIs, databases, query optimisation, operating systems, networking, security best practice, authentication and authorisation, encryption, cloud computing, containerisation, orchestration, infrastructure as code, monitoring, logging, performance optimisation, scalability and documentation., • Hands-on experience working in agile teams, with deep familiarity in CI/CD workflows, branching strategies, pull requests and automated testing using tools such as Playwright., • Experience with Microsoft Fabric, Lakehouse architecture, data pipelines or analytics engineering would be beneficial, especially where data needs to be prepared for reporting, automation or AI use cases. Role • Build and ship production features across the platform, working across APIs, services, user interfaces, data integrations and AI-agent workflows., • Develop scalable, secure, cloud-native software using Python, .NET and JavaScript/React, with strong attention to code quality, maintainability and performance., • Work across the Azure stack, including Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Functions, Azure SQL, Cosmos DB, AKS, storage services and related platform components., • Contribute to AI and RAG features, including document ingestion, metadata enrichment, retrieval workflows, grounding, reasoning flows, template generation and agent orchestration., • Support Microsoft Fabric and data engineering work where required, including Lakehouse patterns, pipelines, structured data preparation, semantic models and analytics-ready data layers., • Design and implement integrations with customer systems such as SharePoint, Microsoft 365, SQL databases, APIs, SaaS platforms and line-of-business applications., • Write clean, tested, secure code and participate actively in pull requests, code reviews, branching strategies and release processes., • Implement and maintain automated testing, including unit, integration, end-to-end and Playwright-based test automation where appropriate., • Collaborate cross-functionally with Product, AI, Data and Client Delivery teams to turn customer needs and product ideas into robust production features., • Work directly with customers and subject matter experts when needed to clarify requirements, troubleshoot issues and explain technical options clearly., • Contribute to architecture discussions, technical documentation, estimates, implementation plans and reusable engineering patterns.

Senior AI Architect - Financial Services London, UK (Hybrid Working Model) Initial 6-Month Engagement £650-£700 per day (Inside IR35) The Opportunity Our client, a leading organisation within the financial services sector, is undertaking a strategic transformation to embed Artificial Intelligence at enterprise scale. They are seeking a Senior AI Architect to play a pivotal role in shaping, delivering, and-critically-driving the adoption of production-grade AI solutions across the business. This mandate goes beyond innovation and experimentation. The organisation requires a leader who can translate AI ambition into live, trusted, and widely adopted capabilities, ensuring measurable business impact. A key priority is addressing a common industry challenge: transitioning AI initiatives from proof-of-concept into fully operational, value-generating products. Key ResponsibilitiesAI Strategy & Architecture • Define and lead the end-to-end AI architecture, encompassing:, • Retrieval-Augmented Generation (RAG), • Large Language Model (LLM) integration and orchestration, • Agent-based workflows and services, • Establish scalable, secure, and reusable AI design patterns aligned to enterprise standardsProduct-Focused Delivery, • Lead the delivery of production-ready AI solutions, ensuring initiatives:, • Progress beyond PoC and governance bottlenecks, • Are deployed into live environments, • Achieve sustained user adoption, • Embed a product-centric mindset, with clear ownership of outcomes and value realisationAI Platform Engineering, • Oversee the design and implementation of advanced AI capabilities, including:, • RAG pipelines integrating enterprise data sources (e.g., Teams, SharePoint), • Agent-driven applications interfacing with internal and legacy systems, • Text-to-SQL solutions enabling natural language interaction with business data, • Enable robust deployment through CI/CD-integrated pipelines, including automated workflows within platforms such as DatabricksTechnology Leadership (Microsoft Ecosystem), • Operate within a Microsoft-centric technology landscape, including:, • Azure OpenAI, • Azure AI Search, • Azure Databricks, • Azure AI Foundry, • Microsoft Fabric, • Define integration standards across AI, data, and enterprise platformsAdoption, Influence & Investment, • Act as a trusted advisor to senior leadership and C-suite stakeholders, • Clearly articulate AI value across:, • Commercial impact, • Operational efficiency, • Risk mitigation, • Drive enterprise adoption and influence stakeholders to:, • Build confidence in AI solutions, • Unlock and allocate budgets for AI initiatives, • Navigate complex stakeholder environments, including resistance to AI investmentGovernance & Risk, • Ensure all AI solutions adhere to financial services regulatory frameworks, including:, • Data privacy and security, • Model governance and auditability, • Bias mitigation and explainability, • Design AI systems suitable for sensitive use cases, such as credit risk, regulatory reporting, and financial data servicesCandidate ProfileSector Expertise, • Demonstrated experience within banking or regulated financial services environments, • Strong understanding of regulatory, risk, and governance frameworksAI & Engineering Capability Proven track record delivering production AI systems, including: • RAG-based knowledge and document intelligence platforms, • Natural language data access (e.g., Text-to-SQL), • AI-powered assistants and agent frameworks Experience delivering solutions such as: • Pipelines ingesting collaboration and enterprise content into vectorised indexes, • Agent-based front ends for interacting with internal systems, • AI solutions supporting regulatory, risk, or financial reporting functionsTechnical Expertise, • Hands-on expertise across:, • Azure AI ecosystem (Azure OpenAI, AI Search, Databricks, Foundry), • CI/CD-driven AI deployment and pipeline automation, • API-led and distributed architecturesLeadership & Influence, • Strong communication skills with the ability to:, • Engage and influence senior stakeholders, • Translate technical concepts into business-relevant outcomes, • Demonstrated ability to drive adoption, not just deliveryWhy This Role This engagement offers a rare opportunity to shape how AI is operationalised at scale within a leading financial institution. The successful candidate will combine deep technical expertise, delivery credibility, and executive influence to ensure AI becomes a core, trusted capability embedded within the organisation. We welcome conversations with individuals who have a proven track record of delivering AI solutions that are not only technically robust, but actively used, trusted, and delivering measurable value.

Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert tagged images. Now, they’re scaling globally — and need a world-class Lead AI Engineer to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities · Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) · Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. · Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements • Strong, current Python, including building and maintaining production services with FastAPI or similar., • Solid machine learning and computer vision background, with real models shipped to production rather than only notebooks and prototypes. • Hands-on experience with a computer vision training and labelling toolchain such as Roboflow, including dataset management and model evaluation. • Experience with Azure AI services such as Azure AI Foundry and Azure OpenAI, or a clear track record on an equivalent cloud AI stack and the ability to pick ours up quickly. • Practical understanding of working in a regulated or compliance-sensitive environment: data residency, de-identification, model governance, auditability, and why explainability matters. • The judgment to scope and lock a problem before building it, and to know when a model is good enough to ship., • OpenCV and classical computer vision alongside deep learning. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.

AI Architect | Contract | 6 Months | £400/day | Outside IR35 | Remote (UK Based) Start straight away The Opportunity A leading enterprise AI services firm is looking for a hands-on AI Architect to define and deliver next-generation GenAI and agentic AI platforms across a global client base. You'll own end-to-end architecture across Azure AI Foundry, Databricks, and AWS — from discovery through production — and act as a trusted technical voice in pre-sales, CXO conversations, and partner co-innovation. Rate: £400/day Duration: 6 months IR35: Outside Location: Remote (UK based candidates only) What You'll Be Doing • Designing reference architectures and platform standards for repeatable, scalable client delivery, • Architecting production-grade GenAI platforms on Azure AI Foundry — RAG, copilots, and multi-agent systems, • Building Lakehouse-based AI platforms using Databricks, Mosaic AI, MLflow 3.0, and Unity Catalog, • Designing multi-agent systems with LangGraph, CrewAI, AutoGen, Semantic Kernel, and Bedrock Agents, • Defining enterprise standards for MCP servers, A2A communication, and agent-to-system interoperability, • Owning Responsible AI guardrails aligned to NIST AI RMF, EU AI Act, and ISO/IEC 42001, • Mentoring architects and engineers, leading design authority forums and architecture reviews Core Tech Stack Azure AI Foundry · Azure OpenAI · Databricks · Mosaic AI · MLflow 3.0 · Amazon Bedrock · LangGraph · LangChain · Semantic Kernel · Microsoft Fabric · Unity Catalog · Python · Terraform · Kubernetes · OpenTelemetry What We're Looking For • 5+ years in software, data, and AI/ML with at least 4–5 years as a hands-on architect delivering production AI systems, • Proven delivery across at least two of: Azure AI Foundry, Databricks, AWS (all three ideal), • Deep expertise in GenAI, agentic AI, RAG patterns, LLM fine-tuning, and vector databases, • Strong Python foundations — PyTorch, Transformers, FastAPI, LangChain/LangGraph, • Experience with MLOps, CI/CD, IaC, and container orchestration at enterprise scale, • Confident communicator — able to engage CXOs and engineering teams with equal credibility, • UK based and eligible to work in the UK Nice to Have • Databricks certifications (Generative AI Engineer, Data Engineer Professional, ML Professional), • AWS certifications (Solutions Architect Pro, ML Specialty, AI Practitioner), • Exposure to regulated industries — BFSI, Healthcare, Pharma, Telecom, • Experience with knowledge graphs, multimodal AI, or open-source contributions in AI/ML Interested? Send your CV

Azure/Microsoft Fabric Data Engineer - remote - outside IR35 - £500 - 535 (and a perm role - up to £80k) You will be an experienced Azure/Microsoft Fabric Data Engineer and will help design, build and maintain modern data platforms. The role will focus on Microsoft Fabric, Azure data services, Lakehouse architecture, data ingestion, transformation, modelling, governance and AI-ready analytics. Skills/Experience Strong experience with Microsoft Azure data services and modern cloud data engineering. Hands-on experience with Microsoft Fabric, including Lakehouse, Warehouse, Pipelines, Dataflows, Notebooks and Power BI. Good understanding of data lake, lakehouse and warehouse architecture. Experience building data ingestion and transformation pipelines from multiple source systems. Strong SQL skills and experience working with relational data models. Experience with Python and/or PySpark for data transformation and automation. Understanding of Power BI, semantic models, DAX and reporting requirements. Experience working with APIs, JSON, CSV, Parquet, Delta tables and common enterprise data formats. Knowledge of data governance, access control, data quality, metadata and lineage. Good documentation skills and the ability to produce clear technical designs. Key duties • Design and build Microsoft Fabric data solutions, including Lakehouses, Warehouses, Dataflows, Pipelines, Notebooks and Power BI semantic models., • Develop robust data ingestion pipelines from APIs, SQL databases, SharePoint, Microsoft 365 sources, SaaS platforms and flat-file sources., • Build and maintain ETL/ELT processes to cleanse, transform, validate and structure customer data for analytics and AI use cases., • Create Lakehouse and medallion-style data architectures, including raw, curated and reporting-ready layers., • Design data models that support Power BI dashboards, operational reporting, customer analytics and business performance monitoring., • Work with Azure services such as Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure Functions, Azure Key Vault, Azure AI Search and Azure OpenAI where required., • Support AI and RAG use cases by preparing structured and semi-structured data for retrieval, grounding, metadata enrichment and agent workflows., • Implement data quality checks, validation rules, lineage, documentation and governance controls., • Work with Microsoft Purview, Entra ID, RBAC and security best practice to ensure data is handled securely and appropriately., • Help create reusable patterns, templates and accelerators for Fabric-based deployments., • Troubleshoot data pipeline failures, performance issues, permissions problems and integration challenges., • Contribute to technical documentation, solution designs, deployment notes and customer-facing architecture material. Desirable Skills Microsoft DP-203 and/or DP-700 certification, or equivalent practical experience. Experience with Azure AI Search, Azure OpenAI, Azure AI Foundry or RAG-style data preparation. Experience integrating Microsoft 365, SharePoint, Teams, Dynamics, Salesforce, E-commerce or finance systems. Knowledge of OneLake shortcuts, Delta Lake, medallion architecture and Fabric deployment patterns. Experience with CI/CD, GitHub, Azure DevOps, infrastructure-as-code or automated deployment. Understanding of enterprise security, compliance, auditability and data protection requirements. Excellent role and company, contract and permanent role available - apply now!

Entity: Technology Job Family Group: IT&S Group Job Description: Role Overview We’re looking for a Lead Architect to shape the technology behind our Gas & Power Trading International (GPTI) business. This role sits across the full trading landscape — from front-office systems to back-office processing, data platforms, integrations and infrastructure. You’ll take ownership of the technology roadmap, with a strong focus on the Endur (ION/OpenLink) platform and how it connects with the wider system landscape. This is a senior individual contributor role. You’ll work closely with product teams, programme leads and senior stakeholders (including front office) to ensure our technology is aligned, scalable and fit for the future. You’ll play a key role in modernising our estate — moving from legacy systems to more cloud-based and hybrid solutions — while keeping performance and reliability at the level required for real-time trading. We’re also looking for someone who can spot opportunities to improve how we work, including the use of AI, automation and smarter workflows. In this role, you’ll produce and guide key architecture outputs such as system designs, decision records, integration patterns and target-state architectures. You’ll help ensure everything meets our standards and is aligned with wider enterprise architecture. Key Responsibilities Architecture Strategy & Leadership Define and own the GPTI target architecture roadmap, encompassing the Endur ETRM platform, surrounding trading systems, data platforms, market connectivity, risk and valuation engines, settlement, regulatory reporting and operational tooling. Provide strategic architectural leadership across programme workstreams, ensuring that use cases (improved valuation,, internal market and others) are architecturally coherent, reusable and aligned with bp's enterprise technology strategy. Establish and chair the GPTI Architecture Design Authority, governing all significant change through structured reviews, design challenges and sign-off gates. Influence and advise VP/SVP-level stakeholders in Technology, Trading and Risk on technology investment decisions, build-vs-buy trade-offs and strategic platform direction. Shape the multi-year technology modernisation strategy, balancing the need to extract maximum value from the existing Endur platform with the ambition to adopt cloud-native, event-driven and AI-augmented architectures. ETRM & Endur Platform Architecture Serve as the definitive technical authority on OpenLink Endur (ION), covering all production versions (v17 through v23), including AVS/JVS scripting, APM workflows, Connex/JMS integration, database architecture, simulation engines and pricing models. Lead architecture for Endur upgrade and migration programmes, ensuring backward compatibility, data integrity and minimal disruption to 24/7 trading operations. Govern COTS configuration vs. customisation decisions, ensuring the platform remains upgradeable, vendor-supportable and that all bespoke development is justified through formal Architecture Decision Records. Architect the Endur integration layer, designing patterns for connectivity with market data services (Asset Control, Trayport, ICE, CME, EEX, LEBA), clearing and settlement platforms, confirmations engines, scheduling/nominations systems and downstream analytics. Own the Endur non-functional requirements strategy, covering performance, scalability, high availability, disaster recovery, security and auditability for a platform supporting real-time trading across multiple European and international markets. Broader Gas & Power Trading Systems Architecture Architect end-to-end front-to-back trading workflows, from deal capture and position management through risk analytics (VaR, Greeks, Monte Carlo, stress testing), P&L attribution, settlement, invoicing, confirmations and regulatory reporting (REMIT, EMIR, MiFID II, ACER). Design and govern the market connectivity architecture, covering exchange connectivity, broker interfaces, electronic trading platforms, TSO/DSO nomination interfaces and real-time price feeds. Lead the gas & power scheduling and nominations architecture, ensuring robust, automated and compliant connectivity with European gas balancing systems, power scheduling platforms and transmission system operators. Define the risk and valuation platform architecture, including curve management, model calibration, scenario generation, exposure calculation and integration with front-office decision-support tools. Architect the data landscape for gas & power trading, including canonical data models (CDM), data mesh/fabric patterns, master data management, data lineage, analytics platform integration (Foundry/Palantir) and alignment with enterprise Data Office policies across 120+ CDM groupings. Cloud, Integration & Modern Architecture Lead the cloud and hybrid architecture strategy for GPTI, advising on the migration of on-premise Endur and ancillary systems to cloud-hosted environments (AWS / Azure) while maintaining the performance SLAs required for real-time energy trading. Design enterprise integration architecture, covering API management, event-driven patterns (Kafka, EventBridge), messaging (JMS, MQ), ETL/ELT pipelines, microservices and service mesh topologies. Champion AI, ML and agentic automation opportunities within the trading technology estate — including intelligent scheduling, anomaly detection, automated P&L attribution, predictive maintenance and agentic workflow orchestration (e.g., AWS AgentCore). Define and govern DevOps, platform engineering and observability standards, including CI/CD pipelines, infrastructure-as-code, containerisation (Docker, Kubernetes), monitoring, alerting and incident response architecture. People, Community & Governance Mentor and develop the architecture community within GPTI and the wider ST&S portfolio, coaching junior architects, technical leads and senior developers to raise the overall architectural capability of the function. Represent GPTI in enterprise-level architecture forums, ensuring alignment with bp Digital's technology strategy, cloud adoption frameworks, security policies and Technology Control Framework. Engage at a senior level with vendor technical leadership (ION, Trayport, ICE, Palantir, AWS) on product roadmap alignment, licensing strategy, technical escalations and joint innovation opportunities. Produce and maintain senior-level architectural artefacts, including C4 models (Context, Container, Component, Code), target-state blueprints, data flow mappings, Key Design Decisions (KDDs), Architecture Decision Records (ADRs) and technology lifecycle assessments. Required Skills & Experience Extensive experience in technology roles within energy trading, commodity trading or capital markets, with at least 8 years in a senior architecture or technical leadership position. Deep, hands-on expertise with OpenLink Endur (ION) across multiple production versions (v10+), including advanced configuration, AVS/JVS scripting, APM workflows, Connex/JMS, simulation engines, pricing models and database architecture (SQL Server / Oracle). Comprehensive knowledge of European and international gas and power markets, covering physical and financial trading, forward/futures/options, basis risk, spark and dark spreads, gas balancing, power scheduling, nominations, LNG and cross-commodity optimisation. Proven track record of defining and delivering enterprise-level architecture for front-to-back trading platforms, including trade capture, risk management (VaR, Greeks, Monte Carlo, stress testing), P&L attribution, settlement, confirmations and regulatory reporting. Expert understanding of integration architecture in high-performance trading environments — including messaging (JMS, MQ, Kafka), API design (REST, GraphQL, gRPC), event-driven patterns, ETL/ELT, real-time market data connectivity and STP workflows. Strong data architecture expertise, including canonical data models, data mesh/fabric concepts, master data management, data lineage, data quality and experience aligning with enterprise Data Office governance frameworks. Significant experience with cloud platforms (AWS preferred, Azure), including infrastructure-as-code (Terraform, CloudFormation), containerisation (Docker, Kubernetes, ECS/EKS), serverless patterns and hybrid cloud architectures for latency-sensitive trading workloads. Strong commercial awareness and stakeholder management capability, with demonstrated experience influencing VP/SVP-level decision-makers across technology, trading, risk and operations functions. Experience producing and governing enterprise architecture artefacts such as C4 models, ArchiMate diagrams, target-state blueprints, Architecture Decision Records, NFR strategies, data flow diagrams and technology lifecycle assessments. Experience with regulatory and compliance technology, including REMIT, EMIR, MiFID II and ACER reporting requirements and their architectural implications for trading systems. Desirable Skills & Experience Experience with additional ETRM platforms (e.g., Murex, TriplePoint/Aspect, Brady, Allegro) for comparative architectural insight and migration planning. Working knowledge of Foundry (Palantir) or equivalent analytical platforms for downstream data consumption, operational analytics and decision support. Experience architecting AI/ML and agentic automation solutions within trading technology estates, including LLM integration, RAG patterns, intelligent scheduling and predictive analytics. Familiarity with Agile / SAFe delivery frameworks at scale, with experience embedding architecture governance into sprint-based delivery teams. Experience with market surveillance and trade compliance platforms. Prior experience working within bp or a major energy supermajor's trading technology function. Experience leading architecture workstreams within large-scale transformation programmes (>£50M investment). Understanding of carbon, environmental products and renewable energy trading systems as the energy transition evolves the trading portfolio. Qualifications & Architecture Certifications A relevant degree in Computer Science, Software Engineering, Information Systems or equivalent practical experience is expected. The following architecture certifications are desirable and will be considered favourably: TOGAF 9 or 10 Certified / Practitioner — The Open Group Architecture Framework AWS Solutions Architect – Professional or Associate — Amazon Web Services Why join us? You’ll influence one of bp’s most critical trading platforms and shape how we build technology that supports real-time decision-making in fast-moving markets. You’ll work closely with traders, market experts, and engineering teams to deliver high-impact capabilities—balancing modern architecture with the realities of live trading operations. Travel Requirement No travel is expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is not available for remote working Skills: Agility core practices, Business modelling, Creativity and Innovation, Data Analysis, Data design, Digital Analytics, Emerging technology monitoring, Information Assurance, Integration, IT Management, IT strategy and planning, Network Design, Requirements definition and management, Risk Management, Service operations and resiliency, Solution Architecture, Systems Development Management, Technical specialism, User Experience Analysis Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please _. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Backend Python Developer (Azure AI) Location: Remote / Hybrid Type: Full-time Our client is a fast-growing consulting business building an AI-driven platform on native Microsoft Azure services. They are looking for a strong Backend Python Developer to join their team and play a key role in delivering scalable, AI-first solutions used for business automation, workflows, and intelligent agents. This is an opportunity to work in a lean, high-impact environment where speed, quality, and innovation matter. The Role The successful candidate will: • Design, build, and maintain backend services in Python, writing clean, maintainable, production-grade code., • Develop and deploy AI-powered features using Azure-native services including Azure AI Foundry, Azure AI Search, Cosmos DB, Docker, and AKS., • Architect and implement scalable, cloud-native solutions., • Work within tight development cycles — branch, commit, test, and ship via GitHub-based CI/CD pipelines., • Write comprehensive unit tests and contribute to high code quality standards., • Collaborate within agile sprints and contribute to technical design decisions.The Ideal Candidate Our client is seeking someone with: • Strong commercial experience in Python backend development., • Experience building APIs and working with cloud-native architectures., • Solid understanding of Docker, Kubernetes, and scalable distributed systems., • Experience using GitHub for version control, pull requests, and CI/CD workflows., • An agile mindset and the confidence to work in a fast-paced, iterative environment.Desirable Experience, • Exposure to Azure’s AI ecosystem (AI Foundry, AI Search, Cosmos DB, AKS)., • Experience integrating AI/LLM-based services into production systems., • Familiarity with modern development tooling such as VS Code and AI-assisted coding tools.Why Apply?, • Work on a genuinely AI-first product with real-world commercial impact., • Join a collaborative, technically strong team with minimal red tape., • Remote flexibility with a culture focused on delivery, ownership, and innovation. If you are a backend Python developer who enjoys building intelligent, scalable systems in Azure and wants to work at the forefront of applied AI, this opportunity is worth exploring.

The Senior AI Software Engineer is a core technical role within the AI Lab. This person helps design and build the foundation that AI solutions are built on, bringing engineering depth, an eye for systems thinking, and a commitment to quality that raises the bar for the whole team.You will make an impact by: • Contributing to system design and feasibility assessments for new AI initiatives, helping evaluate technical approaches, surface risks, and shape solution direction ahead of development., • Helping maintain and evolve development and coding standards across the Lab, ensuring AI work produced by the firm is consistent, clean, and built to last., • Implementing enterprise integration patterns that connect AI solutions to RSM's wider technology ecosystem in a secure and scalable way., • Building and maintaining automation frameworks that improve the speed and reliability of development, testing, and deployment., • Applying appropriate architectural patterns and scalability models when designing solutions, with an awareness of how choices made today affect maintainability tomorrow., • Participating in technical reviews, offering constructive input on designs and code produced by peers and contributing to a culture of engineering rigour., • Designing and developing AI solutions end-to-end across the Lab's core platforms - Copilot Studio, Azure AI Foundry, Intellixcore, and more - from initial design through to production delivery., • Producing clear technical documentation, architectural diagrams, and reusable assets that help the wider team build confidently and consistently., • Supporting junior engineers and graduates with day-to-day technical guidance, code review, and practical problem-solving. What we are looking for:The ideal candidate is a capable, hands-on engineer with a growing interest in how AI systems are designed and structured at scale - someone who takes quality seriously and brings considered thinking to every build.Key attributes include: • Solid experience designing and delivering AI or data-driven solutions in a professional context, with involvement in architectural or system-level decisions., • Working knowledge of enterprise AI platforms - ideally Copilot Studio, Azure AI Foundry, or Intellixcore - or equivalent cloud and AI tooling, with the ability to get up to speed quickly., • A good grounding in software engineering principles, including system design, API and integration patterns, and security fundamentals., • Solid programming skills, with practical experience in Python and SQL used in AI and data engineering contexts; comfortable working across both code-first and low-code platforms., • Comfortable working within governance or compliance-aware environments, understanding the importance of building responsibly without losing momentum., • Ability to produce technical documentation and diagrams that are accessible to both engineering colleagues and non-technical audiences., • Strong communication and collaboration skills, with the confidence to raise technical concerns, contribute to design discussions, and support teammates effectively. What we can offer you:We recognise that our people are our most important assets. That's why we offer a flexible reward and benefits package that will help you have a fulfilling experience, both in and out of work. • Hybrid and Flexible working, • 26 Days Holiday (with the option of purchasing additional days), • Lifestyle, Health, and Wellbeing, including financial wellbeing benefits such as financial tools, electric car scheme and access to a virtual GP, • Access to a suite of 300+ courses on demand developed by our inhouse Talent Development team UNFORTUNATELY THIS ROLE DOES NOT SPONSOR Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Title : Senior AI Platform Engineering Lead - Agentic SDLC Automation Location : London, UK - Hybrid 2 to 3 days Rate : 380 per day 1. The Role We are looking for an experienced AI Platform Engineering Lead to design, build, and operationalise an enterprise Agentic AI Harness that enables end-to-end SDLC automation across .NET and Azure environments. The successful candidate will create an agent-based engineering platform scaffolding or harness using GitHub Copilot agents. Knowledge in frameworks such as Microsoft Agentic Framework, ADK, LangGraph, LangChain, or LangFuse isn’t mandatory, but an advantage. This harness will automate and assist key SDLC activities, including requirements generation, specification creation, story breakdown, design decision capture, task planning, test generation, code creation, test execution, infrastructure-as-code generation, and CI/CD pipeline creation. The target outcome of the harness will be production-ready .NET code deployable into an Azure cloud environment. This role is ideal for someone with strong software engineering experience, practical AI engineering skills, and a deep understanding of modern DevOps, cloud-native architecture, and enterprise-grade application delivery. 1. Tech Skills Required The candidate should have hands-on experience with the following: AI and Agentic Engineering · Experience building AI agents, multi-agent workflows, or agentic orchestration systems · Prompt engineering, tool calling, structured outputs, agent memory, planning, routing, and evaluation patterns · Experience integrating LLMs with enterprise systems, repositories, APIs, and development workflows · Understanding of AI observability, tracing, evaluation, guardrails, and feedback loops · Awareness of frameworks such as Microsoft Agentic Framework, ADK, LangGraph, LangChain or LangFuse, will be beneficial but not mandatory SDLC Automation and Developer Productivity · Experience using AI coding and tools such as GitHub Copilot · Ability to design automated workflows for: o Requirements analysis o Specification generation o User story creation o Architecture and design decision records o Task breakdown o Test case generation o Test plan creation o Code generation o Test execution o Documentation generation Software Engineering · Strong experience with .NET / C# · Experience building APIs, services, backend systems, and cloud-native applications · Good understanding of software architecture, clean code principles, design patterns, secure coding practices, and Test-Driven Development (TDD) methodologies. · Experience with unit testing, integration testing, functional testing, and automated test execution · Familiarity with test frameworks and automated testing tools used within the .NET ecosystem 1. What the Role Will Do The AI Engineer will be responsible for designing and implementing an agentic SDLC harness capable of supporting the full software delivery lifecycle. Key responsibilities include: · Design and build an AI Agentic Harness that orchestrates multiple AI agents across the SDLC · Integrate the harness with development tools such as GitHub Copilot, GitHub, Azure DevOps, and CI/CD platforms · Build agents that can generate: o Business and technical specifications o Epics, features, and user stories o Acceptance criteria o Design decisions and architecture decision records o Engineering tasks and implementation plans o Test cases and test plans o .NET application code o Infrastructure-as-Code templates o CI/CD pipeline templates o Deployment documentation · Execute the harness to generate working .NET / C# code · Build validation loops to review generated outputs for correctness, security, quality, and maintainability · Create test automation capabilities that generate and execute tests against produced code · Implement mechanisms for code review, quality checks, static analysis, and automated feedback · Ensure generated applications are deployable into Azure environments · Create reusable patterns, templates, prompts, workflows, and agent configurations · Implement observability and traceability for agent decisions, tool usage, prompts, responses, and generated artifacts · Work with architects, engineers, product owners, and platform teams to align the harness with enterprise engineering standards · Contribute to security, compliance, and governance controls around AI-generated software delivery · Continuously improve the harness based on output quality, developer feedback, and delivery outcomes 1. Nice to Have Skills The following skills would be advantageous: · Experience with Semantic Kernel, Azure AI Foundry, Azure OpenAI, or OpenAI APIs · Experience with Model Context Protocol tools and agent tool integration · Experience creating reusable software factory or platform engineering capabilities · Familiarity with DevSecOps, secure SDLC, and automated security testing · Experience building RAG-based systems or integrating AI agents with knowledge bases · Knowledge of enterprise data privacy, responsible AI, and AI governance controls · Experience working in Agile delivery environments · Ability to create technical documentation, reference architectures, and engineering playbooks

Title :Senior AI Platform Architect – Agentic SDLC Automation Location : London, UK - Hybrid 2 to 3 days 1. The Role We are looking for an experienced AI Platform Architect to design, architect, build, and operationalise an enterprise Agentic AI Harness that enables end-to-end SDLC automation across .NET and Azure environments. The successful candidate will define the architecture, standards, patterns, and operating model for an agent-based engineering platform scaffolding or harness using GitHub Copilot Agents and frameworks such as Microsoft Agent Framework, ADK, LangGraph, LangChain, and LangFuse. This harness will automate and assist key SDLC activities, including requirements generation, specification creation, story breakdown, architecture and design decision capture, task planning, test generation, code creation, test execution, infrastructure-as-code generation, and CI/CD pipeline creation. The target outcome of the harness will be production-ready .NET applications deployable into Azure cloud environments. In addition to designing and implementing the platform, the role will provide architectural leadership and guidance to architects and engineering teams, helping establish Agentic Software Delivery practices across the organisation. This role is ideal for someone with strong software architecture experience, practical AI engineering skills, and a deep understanding of modern DevOps, cloud-native architecture, platform engineering, and enterprise-grade application delivery. 1. Tech Skills Required The candidate should have hands-on experience with the following: AI and Agentic Engineering · Experience designing and building AI agents, multi-agent workflows, or agentic orchestration systems · Practical knowledge of frameworks such as Microsoft Agent Framework, ADK, LangGraph, LangChain and LangFuse · Prompt engineering, tool calling, structured outputs, agent memory, planning, routing, and evaluation patterns · Experience integrating LLMs with enterprise systems, repositories, APIs, and development workflows · Understanding of AI observability, tracing, evaluation, guardrails, and feedback loops · Experience defining architecture patterns and governance for enterprise AI platforms SDLC Automation and Developer Productivity · Experience using AI coding tools such as GitHub Copilot, Claude Code and Cursor · Ability to design automated workflows for: o Requirements analysis o Specification generation o User story creation o Architecture and design decision records o Task breakdown o Test case generation o Test plan creation o Code generation o Test execution o Documentation generation · Experience defining engineering standards, reusable templates, and software delivery patterns Software Architecture and Engineering · Strong experience with .NET / C# · Experience designing APIs, services, backend systems, and cloud-native applications · Good understanding of software architecture, clean code principles, design patterns, secure coding practices, and Test-Driven Development (TDD) methodologies · Experience with unit testing, integration testing, functional testing, and automated test execution · Familiarity with test frameworks and automated testing tools used within the .NET ecosystem · Experience producing architecture artefacts including reference architectures, architecture decision records, and implementation blueprints Cloud and Platform Architecture · Strong experience with Microsoft Azure · Experience designing cloud-native platforms and developer enablement capabilities · Understanding of Infrastructure-as-Code, CI/CD pipelines, platform engineering, and cloud governance · Experience designing secure, scalable, and resilient enterprise solutions 1. What the Role Will Do The AI Platform Architect will be responsible for defining, designing, and implementing an Agentic SDLC platform capable of supporting the full software delivery lifecycle. Key Responsibilities · Define the target-state architecture for an Agentic Software Delivery platform · Design and build an AI Agentic Harness that orchestrates multiple AI agents across the SDLC · Create reference architectures, reusable patterns, standards, and implementation blueprints for Agentic Engineering · Use frameworks such as Microsoft Agent Framework, ADK, LangGraph, LangChain, and LangFuse to create agent workflows · Integrate the harness with development tools such as GitHub Copilot, Claude Code, Cursor, GitHub, Azure DevOps, and CI/CD platforms · Establish architectural guardrails, governance controls, and quality standards for AI-generated software delivery · Build agents that can generate: o Business and technical specifications o Epics, features, and user stories o Acceptance criteria o Design decisions and architecture decision records o Engineering tasks and implementation plans o Test cases and test plans o .NET application code o Infrastructure-as-Code templates o CI/CD pipeline templates o Deployment documentation · Execute the harness to generate working .NET / C# code · Build validation loops to review generated outputs for correctness, security, quality, and maintainability · Create test automation capabilities that generate and execute tests against produced code · Implement mechanisms for code review, quality checks, static analysis, and automated feedback · Ensure generated applications are deployable into Azure environments · Create reusable patterns, templates, prompts, workflows, and agent configurations · Implement observability and traceability for agent decisions, tool usage, prompts, responses, and generated artefacts · Work with enterprise architects, solution architects, engineers, product owners, and platform teams to align the harness with enterprise engineering standards · Train and mentor architects and development teams on Agentic Software Delivery approaches and AI-assisted engineering practices · Contribute to security, compliance, governance, and responsible AI controls around AI-generated software delivery · Continuously improve the platform based on output quality, developer feedback, and delivery outcomes 1. Nice to Have Skills The following skills would be advantageous: · Experience with Semantic Kernel, Azure AI Foundry, Azure OpenAI, or OpenAI APIs · Experience with Model Context Protocol (MCP) tools and agent tool integration · Experience creating reusable software factory, internal developer platform, or platform engineering capabilities · Familiarity with DevSecOps, secure SDLC, and automated security testing · Experience building RAG-based systems or integrating AI agents with enterprise knowledge bases · Knowledge of enterprise data privacy, Responsible AI, and AI governance controls · Experience working in Agile delivery environments · Ability to create technical documentation, reference architectures, architecture standards, and engineering playbooks · Experience coaching architects and engineering teams on modern software delivery practices and AI adoption

Job Title: Planning Director Duration: 1 Month contract On-site attendance required Intro We’re looking for an Account Director to lead the thinking for one of the UK’s most recognised names in value fashion retail. What You’ll Be Doing • Leading planning direction for one of the UK’s biggest fashion retailers, blending brand, comms, and retail strategy, • Partnering with clients and internal teams to define the best media approach and unlock new opportunities for growth, • Turning consumer, sales and trend data into compelling insights that fuel creative ideas and commercial outcomes, • Developing integrated campaign strategies that span paid, owned, and earned media — from brand building to conversion, • Collaborating closely with wider planning, investment and internal teams to ensure work is cohesive, consistent, and effective, • Acting as a trusted advisor to stakeholders, confidently guiding conversations and building long-term partnerships, • Keeping a pulse on culture, retail and fashion trends — ensuring the brand stays relevant, distinctive, and future-facing What We’re Looking For • Strong experience in retail or fashion, ideally in a similar level role, • Proven track record of solving complex strategic challenges and driving measurable growth, • Confident communicator and storyteller with the ability to inspire creative teams and influence senior clients, • Highly analytical and data-literate, comfortable using consumer insights and retail data to inform decisions, • Collaborative and curious, with a natural ability to connect teams and unite people around great ideas, • Experience managing multi-agency partnerships and navigating large client organisations If you are currently available for a new contract starting asap please reach out!

About Spark Foundry: Spark Foundry is a global media agency that exists to bring HEAT – Higher Engagement, Affinity, and Transactions – to brands. By combining flawless media fundamentals with aggressive innovation, Spark inspires consumers to pay more attention; to care more about our clients’ brands; and to buy more products and services from them. Balancing the nimble spirit of a startup with the powerhouse soul of Publicis Media, Spark Foundry delivers the best of both worlds to a client roster that spans some of the world’s best and most beloved brands and companies. We combine boutique-caliber insights and service with the buying clout and first-look access of a global leader, bringing the heat to challenger brands that want to act like giants, and to giant brands that want to act like challengers. With a bottom-up culture that celebrates diversity and aims for all voices to be heard, Spark has become a magnet for the industry’s best talent, with one of the best retention rates in the industry. And by applying a whole-person approach to professional and personal development, Spark develops a workforce that is well prepared for today’s challenges, and also poised to create meaningful careers in the years to come. Because we know that heat arises the intersection of complementary forces, our professionals come from myriad disciplines and backgrounds: data, analytics, and insights; content and creative production; communications and strategy; finance and marketing; and sociology, psychology, and other liberal arts disciplines. Overview: The Audience Design team is at the core of what we do at Spark Foundry. The Data & Platforms team of data and marketing technology specialists have deep expertise in the ever-changing universe of ad technology, data management, data-driven marketing, and enable a data-first strategy throughout our planning and buying process. The Associate Director will be integral in driving ad/mar tech and data integration conversations and strategies on behalf of our clients and then implementing these strategies with the Strategy, Activation, and Operations teams as well as clients themselves. The Associate Director will become an expert in the data landscape and will consult with internal teams and clients on partner/vendor selection, data onboarding, platform integrations, audience activation and testing framework, and audience reporting/insights. This highly motivated, detail-oriented individual will work with both the client and internal stakeholders to educate them on the myriad uses of data and to drive innovation in the use of data and technology for the client, think things like clean rooms, CDPs, advanced audience strategies, full-funnel measurement, etc. They will also generate insights and audience profiles to align with strategic planning and will work with third-party data vendors and publishers to maximize the data opportunity for the client and go beyond what is currently available. Successful candidates will have a well-rounded knowledge base of the digital advertising and data landscape and a passion for working with marketers to drive advertising value. Role Objectives: • Manage data strategy for advertising clients, communicating strategies/recommendations to clients using a consultative approach, • Understand how platform/data technologies work and offer the ability to explain technical concepts in ordinary terms (be technically savvy - understand the opportunities and limitations), • Identify opportunities – industry learning, meet with vendors and provide a POV, with a client lens and in desired format -- education/evangelize the findings, • Oversee relationship with the Identity Resolution platforms, CDPs, or other AdTech solutions and project manage the deployment and activation of data technology solutions, • Partner with internal Programmatic and media investment arms to support campaign activation as well as advanced data use cases, • Oversee, author and/or constructively edit and review the writing of media documents (timelines, POVs, RFPs, plans, agreements, client memos, and correspondence from within and outside the agency)., • Share knowledge with client and internal teams regarding audience insights and results to impact business needs, • Provides input to client business-related decisions Client Responsibilities: • Ownership of day-to-day client relationship (mid-level), • Anticipates risks and prepares multiple resolutions, • Actively manages client care strategies, • Builds strong client relationships Management Responsibilities: • Accountable for manager and associate level deliverables, • Provides clear and concise direction and messages, • Has “Intellectual Capital”, understands people want to hear a point of view, • Showcases the ability to manage & mentor others, • Accountable for onboarding and team readiness Qualifications: • Prior digital advertising experience working at an advertising/ media agency is essential, • In-depth technical knowledge of ad and marketing technology, including ad servers, rich media, dynamic creative, streaming video, OBA, ad verification, customer data management platforms, identity resolution solutions, DSPs, etc, • Strong project management skills and keen ability to delegate, • Strong understanding of digital media planning and management processes, • Expert knowledge and experience with Identity Solution tools (eg. Epsilon, Liveramp, Neustar), • Expert understanding and usage of CDP (eg. Salesforce, Adobe, Treasure Data), • Expert understanding data flow within adtech/martech ecosystem.

Company Description Publicis Media harnesses the power of modern media through leading agency brands Dysrupt, Infinite Roar, Publicis Collective, Publicis Health Media, Spark Foundry, Starcom and Zenith, as well as global accelerator PMX; immersive experience group PMCI and access to integrated platform-based technologies and offerings from CJ, Epsilon and Influential. A key business solution of Publicis Groupe, Publicis Media’s digital-first, data-driven global solutions deliver client value and drive growth in a platform-powered world. It is present in over 100 countries with over 23,000 employees worldwide. Role Overview We're on the lookout for a Commercial Associate Director to join our team. Reporting to the Senior Commercial Director, the Commercial Associate Director will play a key role in coordinating and owning all commercial information across global markets for high-profile clients. The Associate Commercial Director will facilitate a unique role in the team acting as the Commercial Lead on small-medium sized pitches and the support on the biggest pitches within Publicis Media. They will also act as the Commercial Lead for some of our existing clients, being the main point of contact for clients of various sizes. This is a hands-on role requiring strong teamwork, proactivity, and attention to detail, with excellent communication skills to collaborate effectively across international teams. What you'll do: • Act as the Commercial Lead on existing clients within Publicis Media, responsible for maintaining the commercial relationship with the Procurement Lead, • Act as escalation point for all commercial matters (clarifications, market queries etc) with support from the Commercial Manager., • Manage all commercial negotiations from a Global level, supporting markets and Global teams where necessary by attending client and internal calls., • Prepare reports for, and present in ad hoc, monthly, bi-annual, and annual client meetings., • Ownership with Legal on commercial contracts and client procurement discussions, ensuring effective communication and adherence to commercial principals in markets., • Oversee scopes of work with Client Directors, ensuring out-of-scope work is captured, costed, and flagged., • Attend regular client calls with Media Leads & Procurement., • Creation of proactive growth plans., • Lead smaller Global and / or Regional pitches with the support of a Commercial Manager, responsible for developing the commercial strategy and direction of the pitch on smaller pitches., • Coordination of pitch offers with internal departments including new business, I&A and client teams., • Ownership of all relevant documentation supporting our submission. What we're looking for: Please note this is not a commercial finance role. This position sits within commercial strategy and business development. • Media agency experience in a Senior Commercial Manager, Associate Director or similar type role., • Strong understanding of the pitch and commercial strategy process within Media., • Strong client management, relationship building and influencing skills., • Strong quantitative and negotiation skills, with a understanding of media agency dynamics and contracts., • Proficiency in data management and Excel (including VLOOKUP, SUMIF, Pivot tables); VBA skills are a plus., • Exceptional attention to detail, initiative, and time management for handling multiple tasks. Additional Information Publicis Groupe operates a hybrid working pattern with full time employees being office-based four days during the working week. We are supportive of all candidates and are committed to providing a fair assessment process. If you have any circumstances (such as neurodiversity, physical or mental impairments or a medical condition) that may affect your assessment, please inform your Talent Acquisition Partner. We will discuss possible adjustments to ensure fairness. Rest assured, disclosing this information will not impact your treatment in our process. Please make sure you check out the Publicis Career Page which showcases our Inclusive Benefits and our EAG’s (Employee Action Groups).

Senior Consulting Engineer – Forward Deployed 📍 London | Hybrid 💰 Competitive Salary + Bonus + Benefits A leading deep data and AI consultancy, operating at the forefront of complex digital transformation programmes, is seeking Senior Consulting Engineers to join its growing Forward Deployed Engineering team. This organisation partners with major public and private sector clients to solve highly complex operational challenges through advanced data platforms, AI integration, and modern engineering practices. The environment combines the pace and ownership of a product engineering culture with the impact and variety of consulting delivery. This is an opportunity to work directly alongside end users and stakeholders, designing and deploying real-world solutions that drive operational decision-making at scale. The Role As a Senior Consulting Engineer, you’ll operate in a highly hands-on, client-facing capacity with significant ownership across the full solution lifecycle. You’ll work across: • Data engineering and transformation pipelines, • AI-enabled workflows and operational tooling, • Front-end application development, • Solution architecture and stakeholder engagement, • Rapid prototyping and iterative deployment You’ll collaborate directly with clients to understand complex business problems, translate technical concepts into stakeholder-friendly communication, and build scalable solutions that create measurable impact. Key Responsibilities • Design and deliver end-to-end technical solutions across complex data environments, • Build and maintain applications using technologies such as Python, PySpark, TypeScript, and React, • Develop AI-driven workflows and operational tooling, • Work directly with client stakeholders in fast-paced delivery environments, • Present demos, gather feedback, and iterate rapidly, • Contribute to internal innovation initiatives and engineering best practices, • Support and mentor junior engineers within collaborative project teams What We’re Looking For • Strong software engineering or data engineering background, • Experience with Python and/or SQL, with exposure to TypeScript or React beneficial, • Understanding of ETL pipelines, data platforms, and modern application development, • Strong problem-solving capability and ability to work in ambiguous environments, • Excellent communication skills and stakeholder engagement experience, • Comfortable operating in client-facing or consulting-style environments, • Experience with Palantir Foundry, Gotham, or similar platforms is advantageous but not essential Why Apply? • Work on genuinely impactful, mission-critical projects, • Join a highly collaborative, low-ego engineering culture, • Gain exposure to cutting-edge AI and data technologies, • Significant autonomy and ownership from day one, • Clear progression opportunities within a rapidly growing practice, • Opportunity to work across defence, infrastructure, public sector, and enterprise transformation programmes If you’re an engineer who enjoys solving complex real-world problems and wants to combine technical depth with meaningful client impact, we’d love to hear from you.

About Us At Ingentive, we are a Microsoft Elite Partner recognised as one of the Great Places to Work, and proud to hold all seven Microsoft solution designations. As a member of the Microsoft Inner Circle, we rank in the top 1% of partners globally, and were recently named Microsoft’s #2 enterprise partner for driving advanced agentic AI transformations. We specialise in transforming business systems through AI-led application development and process optimisation, with a strong focus on both Power Platform, the Dynamics 365 stack for CRM and ERP. Our mission is to help organisations unlock value by combining intelligent agents, natural language interfaces, and low-code platforms to build scalable, governed solutions that solve real business challenges. Award-winning and innovation-driven, we are at the forefront of the shift from traditional low-code to intelligent business applications empowering fusion teams to deliver faster, smarter, and more impactful outcomes. The Role As an Innovation Consultant, you'll help our clients turn the latest Microsoft and AI capabilities into practical, value-led innovation. Working alongside an Innovation Architect, you'll deliver hands on innovation engagements across Microsoft 365 Copilot, Copilot Studio, Power Platform, Azure AI Foundry, and Dynamics 365. You'll help clients adopt emerging Microsoft technology, build credible prototypes and production solutions, and bring the art of the possible to life for business and technical audiences. Essential Knowledge, Skills, and Experience Essential • Demonstratable experience in a consulting, solution delivery, or innovation role within the Microsoft ecosystem or equivalent, • Hands-on experience with Microsoft Power Platform (Power Apps, Power Automate, Copilot Studio), • Working knowledge of Microsoft 365 Copilot and Dynamics 365, • Practical experience prototyping and delivering AI led solutions using Microsoft Copilot, Copilot Studio, or Azure AI services, • Evidence of turning client needs into innovative, well-designed solutions, • Strong written and verbal communication, with the confidence to present to senior business and technical audiences, • Comfortable working under the guidance of an Innovation Architect while owning your own workstreams Desirable • Experience contributing to enterprise scale innovation, AI adoption, or Copilot enablement programmes, • Exposure to Azure AI Foundry, AI Builder, or other Microsoft AI tooling, • Software development experience (for example JavaScript, TypeScript, C#, Python) or strong pro code extensibility skills within Power Platform, • Familiarity with Dynamics 365 Customer Engagement and/or Finance and Supply Chain Management, • Experience facilitating ideation sessions, design thinking workshops, or innovation labs, • Microsoft certifications across Power Platform, Dynamics 365, AI, or Microsoft 365, • Background working with regulated industries such as financial services, public sector, or healthcare Behaviours and Competencies • Curious and experimental, happy to test, learn, and continuously improve, • Customer focused, with a genuine commitment to client outcomes, • Collaborative, sharing knowledge openly and supporting your colleagues, • Self-motivated and organised, able to manage competing priorities, • Detail oriented, with pride in the quality of your work, • Resilient and comfortable working in fast paced, sometimes ambiguous environments, • Aligned to Ingentive's values of Passion, Performance, and Partnership Performance Measures We'll review your performance together against your personal and team objectives, the responsibilities above, and the following measures: • Utilisation against your agreed billable target, • Quality of delivered work, based on client feedback, internal review, and CSAT scores, • Innovation prototypes, demonstrations, and reusable assets you contribute to Ingentive's IP library, • Progress against your Microsoft certification and personal development plan, • Your contribution to internal knowledge sharing, mentoring, and team development, • Behaviour in line with Ingentive's values Objectives and Responsibilities You'll work across the areas below, with guidance from an Innovation Architect and in line with Ingentive's delivery standards. The mix will vary by engagement: Innovation Delivery and Solution Design • Contribute to client innovation roadmaps and transformation plans shaped with Innovation Architects, • Design and deliver Microsoft led innovation solutions across Power Platform, Copilot, Copilot Studio, and Azure AI, • Turn emerging Microsoft capabilities into practical, deliverable solutions aligned to client business outcomes, • Support digital maturity and innovation readiness assessments, contributing analysis, findings, and recommendations, • Produce clear, well presented solution documentation, design artefacts, and handover materials Hands-on Prototyping and AI Enablement • Rapidly prototype new ideas using Microsoft Copilot, Copilot Studio, Power Platform, and Azure AI Foundry, • Build, test, and iterate AI agents, automations, and low code applications that solve real client problems, • Help clients accelerate Copilot and AI adoption through demonstrations, enablement sessions, and reusable accelerators, • Apply architectural direction from Innovation Architects so prototypes are scalable, secure, and production ready, • Spot technical risks, dependencies, and assumptions early, and flag them to the team Client Engagement and Workshops • Support and co-facilitate innovation workshops, ideation sessions, and Copilot or AI discovery engagements, • Engage with senior client stakeholders to capture requirements, demonstrate solutions, and shape next steps, • Explain technical concepts in clear, business focused language tailored to your audience, • Build trusted client relationships and represent Ingentive's innovation capability with credibility, • Provide realistic effort estimates and clear status updates to project managers and engagement leads Internal Contribution and Continuous Learning • Keep up with Microsoft's evolving AI, Copilot, and Power Platform roadmap, and bring new ideas back into the team, • Contribute to Ingentive's internal IP, including reusable assets, accelerators, demos, and innovation patterns, • Share what you learn with colleagues through internal sessions, write ups, and demonstrations, • Help mentor less experienced team members and Digital Transformation Consultants on innovation tooling and techniques, • Be open to feedback and coaching from Innovation Architects and senior leaders as you grow Quality Measures Your performance will be measured against the achievement of targets, against the objectives and responsibilities listed above, and against the following standard criteria: • Meeting monthly KPIs e.g., prospect contacts, number of leads generated., • Behaviour in line with the company values. Teammates’ benefits: • Bonus Schemes, • Life Assurance + Private medical cover, • Group income protection, • Great Company Pension, • Enhanced Sick Pay, • Enhanced Family Leave Pay, • Volunteering Leave, • Recognition and loyalty award scheme, • 24/7 access to EAP including Wisdom AI app, • Bright Exchange marketplace, • Hybrid working from our Central London Office Our Purpose and Values Vision - Empowering enterprises to their full potential with intelligent Microsoft solutions Mission - To create frontier enterprises Values – Passion, Performance, Partnership Successful applicants must have the right to work in the UK and a basic DBS check is required for this position. Ingentive are committed to equality of opportunity, diversity and inclusion. We welcome applications from all suitably qualified candidates. As part of our commitment to diversity and inclusion, we will provide reasonable adjustments during the recruitment process to ensure equal access to applicants with disabilities. Please contact us about your needs so that we can discuss these with you to make sure that suitable adjustments are made, where possible.

K&K Social Resources & Development GmbH is an international recruiting agency that has been providing technical resources in the European region since 1993. This position is with one of our clients in United Kingdom who is actively hiring candidates to expand their teams. Role: Data Analyst Location: London, UK Employment Type: Contract Inside IR35 As a Performance Analyst on the App, your role is to support product teams by utilising data tools to create insight and actionable outputs for product managers, designers, and developers. You will be developing and maintaining Adobe Analytics and Power BI reports to enable data‑driven decisions across the programme. The role involves partnering with product teams to define reporting needs and translate them into clear KPIs and robust data solutions, delivering ad‑hoc analysis to inform product improvements, and applying measurement frameworks to shape future analytics capability. You will design and optimise dashboards with consistent metrics and meaningful time‑based comparisons, while ensuring data quality, governance, and alignment across data sources. Collaboration with product, analytics, and data engineering teams is central to continuously improving data, reporting, and insight delivery. Key Technical Skills: • Advanced PowerBI Visualisation or equivalent (2 years), • Database or platform experience in tools such as Databricks or equivalent (2 years), • Applied experience in Python & SQL (2 years), • Optimising costs on exceedingly large queries + cluster management Soft Skills: • Independent Self Starter, managing your own work and workstreams, • Strong stakeholder management skills with the ability to translate analytics requirements into reports, • Proactive Attitude in handling multiple workstreams, • Experience with working in a cross functional teams varying from waterfall and Agile, • Experience working in the Software Development Cycle Nice to have Skills: • Adobe Analytics or Web-based Analytics Tools experience, • Experience in working in client's Federated Data Platform or Palantir Foundry, • Exposure to Data Lake functionality and architecture (strong relational database skills would be a Good alternative), • Experience in working in Generative AI projects, • Experience in working in Healthcare or digital applications Note: Applicants for employment in United Kingdom should possess work authorization which does not require sponsorship by the employer for a visa.

Digital & Agentic Commerce Consultant Location: London Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: www.accenture.com/song As an ECommerce Consultant: We are entering an exciting era of agentic commerce — where AI agents, autonomous search, and intelligent consumer experiences are beginning to reshape how people discover, evaluate, and buy. We are looking for consultants who are energized by this shift and want to be at the forefront of defining what it means for our clients. We are seeking an experienced professional with expertise in ecommerce transformation and commerce operations, with a focus on digital commerce, go-to-market strategies, direct-to-customer growth, channel strategy, and commerce operating model design. A working understanding of the agentic commerce landscape and hands-on curiosity with AI tooling are central to this role. You are a problem solver with strong delivery experience in industry or consulting, comfortable working in fast-paced, agile environments. You are a trusted advisor, facilitating workshops, developing business recommendations, and building business cases — including for AI and agentic commerce capabilities. Responsibilities: • Contribute to ecommerce and digital commerce transformation programs, including current state assessments, target state design, and operating model transformation, on complex client engagements., • Understand client needs and develop tailored solutions that help clients advance their ecommerce, commerce operations, and commerce technology capabilities., • Build trusted relationships with clients, facilitating workshops and translating technology choices into clear commercial recommendations., • Analyze and synthesize commerce technology needs, drawing on knowledge of commerce platforms, PIM, search and merchandising, CRM, CDP, loyalty programs, and MarTech solutions., • Drive delivery of commerce projects end-to-end, including planning, quality assurance, and go-live, • Adopt and apply AI tooling as a core part of day-to-day working — including LLMs, vibe coding, and emerging agentic tools — to enhance the quality and pace of delivery. Required experience: • Either in a consulting role with significant ecommerce exposure, or in an industry commerce role (e.g. ecommerce, trading, merchandising, commerce operations)., • Strong understanding of ecommerce strategy, digital commerce platforms, go-to-market strategies, and commerce operating model design., • Understanding of commerce operations — how ecommerce businesses are run day-to-day, including trading, fulfilment, merchandising, and the interplay between technology and operations., • Solid grasp of the commerce technology landscape, including commerce platforms, PIM, search and merchandising, and how these connect to CRM, CDP, and MarTech solutions., • Demonstrable interest in agentic commerce and AI — through strategic work, POCs, independent learning, or a developed point of view on how AI agents and agentic search will reshape commerce., • Active day-to-day use of AI tooling — including LLMs and emerging development tools — as part of how you already work., • Strong communication and interpersonal skills, including storytelling for executive audiences and the ability to engage diverse and senior stakeholders. Preferred experience: • Familiarity with agentic commerce concepts and the emerging landscape — including Generative Engine Optimisation (GEO), Answer Engine Optimisation (AEO), AI-native search, LLM-powered applications, and brand or consumer-facing agents., • Hands-on experience with AI and agentic platforms — such as Google Gemini/GCEX, OpenAI Agent SDK, n8n, LangGraph, Microsoft Agent Foundry, or AWS Bedrock, • Experience across the commerce technology ecosystem, including one or more of: commerce platforms (Salesforce Commerce Cloud, Commercetools, Shopify, BigCommerce), search and merchandising (Algolia, Bloomreach, Elasticsearch), or PIM and content management (Salsify, Akeneo, Contentful, Adobe Experience Manager). What we'll give you... A thriving career with the chance to learn from passionate, talented colleagues and mentors. Exciting and varied client work with as much opportunity as you can handle. And a hugely sociable team to get to know. Our Total Rewards consist of a competitive basic salary, annual performance bonus, opportunities to acquire equity and a wide range of health and wellbeing benefits. These include perks such as: • Up to 30 days of leave to spend each year plus 3 extra volunteering days per year for charitable work of choice., • Family-friendly and flexible working policies., • A range of generous Parental Leave offerings., • Attractive pension plan with financial wellbeing support and resources., • Private healthcare insurance plan and Mental Wellbeing support., • Employee Assistance Program, Career Development and Counselling. Please note that with all of our roles, you should expect some in-person time for collaboration, learning and building relationships with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. Application Deadline: Ongoing Accenture reserves the right to close the role, at any time.

KPMG Microsoft Business Solutions At KPMG Microsoft Business Solutions (MBS), we implement best-in-class solutions across the Microsoft technology stack. We combine deep functional, industry and technology expertise to help our clients transform how they operate, innovate and make decisions. Our solutions span Dynamics 365, Microsoft 365, Power Platform, Copilot and Agent technologies, Microsoft Fabric and Azure, enabling us to deliver connected, intelligent and responsible business solutions at scale. The Role: Microsoft Agentic Data Lead – Microsoft Business Solutions (MBS) The Microsoft Agentic Data Lead is a senior leadership role responsible for defining, leading and growing KPMG UK’s Microsoft Agentic Data capability. This role sits at the intersection of Data, AI, Power Platform and Dynamics 365, with a clear mandate to help clients realise value from the Microsoft platform through modern data foundations and innovative agentic solutions. The successful candidate will own the end-to-end Microsoft agentic data vision across both Pre-Sales and Delivery, working closely with Business Development, Microsoft field teams and KPMG delivery teams to build a strong pipeline, shape market-leading propositions and ensure high-quality execution. Responsibilities: · Define and lead KPMG UK’s Microsoft Agentic Data strategy across data foundations for AI, Power Platform and Dynamics 365. · Lead and grow the Microsoft Agentic Data team, providing technical direction, coaching and governance across Pre-Sales and Delivery. · Act as the senior Microsoft data authority across complex client engagements. · Partner with Business Developers to build and secure a sustainable pipeline of Microsoft data and AI work. · Lead senior client conversations on data-led AI and agentic transformation using Microsoft technologies. · Design and oversee end-to-end Microsoft architectures spanning Fabric, Azure data services, D365, Power Platform and Copilot. · Ensure delivery quality, consistency and scalability across all Microsoft data and agentic engagements. · Work closely with Microsoft product, engineering and field teams on roadmap, co-sell and innovation initiatives. · Provide thought leadership on agentic AI, data platforms and responsible AI governance. Required: · Extensive experience in Microsoft Data technologies within consulting or large enterprise environments. · Proven leadership experience in data architecture, technical leadership or capability lead roles. · Deep expertise in Microsoft Fabric, Azure Synapse Analytics and Power BI. · Exposure to Microsoft Foundry, Fabric Data Agents and Microsoft IQ (including Fabric IQ, Foundry IQ and Work IQ) capabilities. · Strong understanding of Dynamics 365 CE/F&O, Power Platform and Microsoft (Agentic) AI solutions. · Experience operating across both Pre-Sales and Delivery. · Strong commercial and stakeholder management skills. · Solid understanding of AI and agentic patterns within the Microsoft ecosystem. Desirable: · Experience with Azure Databricks, Azure Data Factory and Azure Data Lake. · Knowledge of Microsoft Purview for data and AI governance. · Experience working with Microsoft product or field teams. · Background in regulated or data-intensive industries. The Person: · A credible senior leader with strong presence and communication skills. · Strategic, analytical and delivery-focused mindset. · Ability to explain complex concepts to technical and non-technical audiences. · Strong collaborator able to influence across a matrixed organisation. · Commercially aware with a strong sense of ownership and accountability. · Adaptable and comfortable operating in a fast-evolving technology landscape. · Willingness to travel as required.

About Us: Tech Mahindra offers technology consulting and digital solutions to global enterprises across industries, enabling transformative scale at unparalleled speed. With 150,000+ professionals across 90+ countries helping 1100+ clients, TechM provides a full spectrum of services including consulting, information technology, enterprise applications, business process services, engineering services, network services, customer experience & design services, AI & analytics, and cloud & infrastructure services. Job Details: About Tech Mahindra BFSI Consulting Tech Mahindra’s BFSI Consulting practice is building a next-generation consulting capability for banks, insurers, reinsurers, wealth managers and capital markets firms. In an AI-led world, consulting can no longer stop at strategy decks, technology implementation or programme delivery. Our clients are asking a more profound question: how do we redesign the enterprise so that data, AI, business processes and human decision-making work together? That requires a new class of consulting talent: people who understand the business deeply, can model complex insurance concepts, can translate domain knowledge into semantic structures, and can help clients create the foundations for GenAI, GenBI, agentic workflows and intelligent operations. The Opportunity We are looking for experienced Ontology Specialists with deep insurance domain expertise, particularly in underwriting, claims, policy administration, distribution, risk, pricing, exposure management, reinsurance and insurance operations. Our clients are establishing enterprise ontologies as a foundation for: • Data ontology and semantic layer for GenBI - creating a business-friendly, governed semantic layer that allows executives, underwriters, claims leaders, actuaries, risk teams and operations leaders to ask trusted questions of enterprise data., • Operational ontology for transactional workflows - modelling insurance concepts, events, decisions, hand-offs, exceptions and controls so intelligent workflows, AI agents and automated decisioning can be embedded into core operations., • AI-ready enterprise knowledge architecture - building the structured business meaning required for GenAI, RAG, knowledge graphs, agentic AI, explainable analytics and intelligent process orchestration. This is not a pure data modelling role. It is a business architecture, domain modelling, semantic design and consulting role for people who understand how insurance actually works. Role Purpose The Ontology Specialist will help insurance clients define, design and operationalise enterprise ontologies that connect business language, data assets, process flows, decision logic and AI use cases. Insurance domain expertise Underwriting, claims, policy lifecycle, broker/intermediary models, customer, risk, exposure, coverage, pricing, reserving, fraud, litigation, recoveries and reinsurance. Semantic and ontology design Business glossaries, taxonomies, ontologies, knowledge graphs, semantic layers, entity models, relationship models and data meaning. AI and GenBI enablement Helping clients move from fragmented reporting and data silos to governed, explainable and AI-consumable business knowledge. Operational transformation Embedding ontology into workflows, decisions, controls, exception management and human-AI operating models. Key Responsibilities 1. Insurance ontology design • Design and develop insurance-specific ontologies covering customer, party, organisation and intermediary structures., • Model policy, product, coverage, endorsement, contract, exposure, peril, location, asset and risk object concepts., • Model underwriting submission, risk assessment, quote, bind, renewal, appetite, referral and portfolio steering journeys., • Model claims FNOL, triage, coverage validation, liability, reserving, settlement, recovery, litigation and leakage concepts., • Translate complex insurance language into semantic models used by business, data, analytics, AI and workflow teams. 1. Semantic layer for GenBI • Define common business metrics, dimensions, hierarchies and executive KPI definitions., • Align executive KPIs to underlying data concepts and resolve inconsistencies across functions, systems and geographies., • Model relationships between customer, policy, claim, coverage, risk, broker, exposure and transaction entities., • Create explainable definitions for loss ratio, expense ratio, claims leakage, underwriting profitability, conversion, retention, STP and operational productivity., • Enable GenBI use cases where business users can query enterprise data using natural language with trusted semantics. 1. Operational ontology for transactional workflows • Model business events, process states, decision points, controls, approvals, exception paths and case types., • Define SLA triggers, human and AI hand-offs, business rules, data dependencies, audit requirements and explainability needs., • Help clients move from document-heavy process maps to intelligent operating models where ontology supports automation, agentic workflows and decision orchestration. 1. Underwriting and claims domain modelling • Bring deep SME insight into underwriting or claims journeys and the meaning behind core data, decisions and workflow states., • For underwriting: model submission intake, appetite, triage, enrichment, pricing, referrals, quote-bind, renewal and portfolio steering., • For claims: model FNOL, segmentation, coverage validation, liability, reserving, fraud, litigation, vendor management, settlement and recovery., • Support workbench, platform and workflow design by creating business-level models rather than simply system-level data structures. 1. Knowledge graph and AI enablement • Define insurance entities and relationships for knowledge graphs and graph-based reasoning., • Support RAG and GenAI solutions with governed domain knowledge and contextual enrichment., • Help define AI agent memory, context, guardrails, decision boundaries, explainability and traceability., • Create reusable ontology assets for underwriting, claims, operations and enterprise AI enablement. 1. Consulting and client leadership • Facilitate workshops with underwriters, claims leaders, data owners, architects, operations teams and AI leaders., • Translate business pain points into ontology, semantic architecture and operating model requirements., • Create senior stakeholder-ready outputs including ontology blueprints, semantic models, roadmaps and executive recommendations., • Support pre-sales, proposition development and thought leadership for insurance clients. Required Experience We are looking for candidates with a combination of insurance domain expertise, semantic modelling experience and consulting capability. Essential • Strong experience in insurance, reinsurance or specialty insurance., • Deep understanding of at least one major domain: underwriting, claims, policy, distribution, risk, pricing or reinsurance., • Experience defining business taxonomies, data dictionaries, conceptual models, information models, ontologies or semantic layers., • Ability to translate complex insurance concepts into structured, reusable and business-consumable models., • Strong understanding of data relationships across policy, customer, claim, risk, broker, exposure and transaction entities., • Experience working with business SMEs, data teams, architects, product owners and technology delivery teams., • Ability to run client workshops and convert ambiguity into structured, executive-ready outputs., • Consulting mindset: structured thinking, stakeholder management, problem solving and senior communication. Preferred • Experience with knowledge graphs, graph databases or semantic technologies., • Familiarity with RDF, OWL, SHACL, SPARQL or related ontology standards., • Experience with Neo4j, Stardog, GraphDB, PoolParty, TopBraid, Palantir Foundry/AIP, Databricks, Snowflake, Microsoft Fabric or similar platforms., • Experience building semantic models for BI, GenBI or natural language querying., • Experience supporting GenAI, RAG, AI agent or decision intelligence initiatives., • Experience with ACORD, insurance canonical models or industry data standards., • Prior consulting experience with insurers or reinsurers., • Experience with Guidewire, Duck Creek, Majesco, Sapiens, EIS, Salesforce Financial Services Cloud or underwriting/claims workbench platforms., • Understanding of regulatory, audit, model risk or data governance requirements in insurance. Candidate Profiles We Want to Meet • Insurance data architects or information architects., • Underwriting data model specialists or claims data model specialists., • Knowledge graph specialists with insurance experience., • Semantic layer architects or ontology engineers in financial services., • Business architects in insurance transformation programmes., • Senior business analysts with strong insurance domain modelling experience., • Product owners for underwriting, claims or insurance data platforms., • Ex-insurance practitioners who have moved into data, AI or architecture roles. What Success Looks Like • Clients have a shared business language across insurance functions, markets and systems., • Data definitions and executive reporting are less ambiguous and more trusted., • Semantic layers make GenBI reliable, governed and explainable., • Ontology foundations support AI, GenAI, knowledge graphs and agentic workflows., • Underwriting and claims decision-making is improved through contextual intelligence., • Reusable domain models are created across markets, products and platforms., • Clients move from fragmented automation to intelligent operating models. Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions.

We are hiring for a Regional Account Director to join our team working across an exciting global client. This role is ideal for a strategic, process-driven individual who seeks innovative, effective ways of working, it requires understanding global vs. regional operating models, process implementation, insights management and relationship-building with diverse stakeholders across multiple markets and capabilities. Key Requirements • Oversee daily orchestration, implementation, and optimisation of the client model from briefing to delivery across marketing capabilities., • Collaborate with internal and external teams to ensure seamless integration of marketing efforts., • Manage intake of integrated and capability specific client briefs including review and assignment to appropriate internal teams for execution., • Oversee and/or support resource management for briefs/ projects, ensuring efficient allocation for marketing projects., • Communicate project details and action steps to internal and external teams., • Track deliverables, budgets, and project overlaps, adjusting schedules, and notifying teams as needed., • Lead initiative and process feedback communications with clients and internal teams ensuring continual optimisation on ways of working., • Manage development of scope components, including timelines, resources, and costs., • Work with the Agency Orchestration team to propose solutions-led approaches based on global standards., • Identify blockers and insights for regional leadership and clients and develop local and regional action plans., • Ability to manage client facing communication directly and compile client facing presentations/ documentation. Critical Skills • Substantial marketing, advertising or operations experience within the media industry., • Clear accountability to evolve the business to become a more operationally functional team, ready for the future, • Strong understanding of global and regional operating models, with proven ability to implement and optimise processes, • Proactivity and proficiency delivering progress and completing work even with overlapping deadlines, • Experience developing C-level stakeholder presentations and presenting your thoughts and ideas, • Excellent communication and people skills, with the ability to collaborate with diverse teams and stakeholders, • Demonstrated experience in managing complex projects from initiation to completion, ensuring on-time and on-budget delivery, • Strong analytical and critical thinking skills, with the ability to identify issues and develop effective solutions

Publicis Media harnesses the power of modern media through leading agency brands Dysrupt, Infinite Roar, Publicis Collective, Publicis Health Media, Spark Foundry, Starcom and Zenith, as well as global accelerator PMX; immersive experience group PMCI and access to integrated platform-based technologies and offerings from CJ, Epsilon and Influential. A key business solution of Publicis Groupe, Publicis Media’s digital-first, data-driven global solutions deliver client value and drive growth in a platform-powered world. It is present in over 100 countries with over 23,000 employees worldwide. Overview The Team The Global Business Development Design Studio is a high-performing, internationally connected creative team within Publicis Groupe. With more than 25 creatives across London, New York, Chicago, Seattle, and Singapore, we partner with teams across the business to shape compelling brand experiences, elevate visual storytelling, and support key growth opportunities globally. Collaboration is at the heart of how we work. We are a passionate, ambitious, and creatively driven team that thrives on delivering world-class design solutions across presentations, brand identity, digital experiences, and business development initiatives. This is an exciting opportunity for a designer who enjoys working at pace, collaborating across teams, and influencing high-profile global projects. The Role We are looking for a talented and strategic Senior Designer to join our Global Business Development Design Studio. This role will play a key part in supporting Publicis Groupe’s Business Development practice by creating impactful visual experiences that help win and grow business across the organisation. You will work across a wide range of creative outputs including pitch presentations, microsites, brand identities, experiential concepts, and digital and print collateral. We’re looking for a hybrid creative thinker who combines exceptional craft with strategic insight — someone who can transform complex briefs into bold, engaging, and polished creative work. What you'll do: • Design and develop best-in-class PowerPoint presentations and templates, incorporating sophisticated layout, animation, and storytelling techniques, • Partner with marketing, communications, and business development teams on global, regional, and local pitch opportunities, • Create compelling print and digital collateral for presentations, campaigns, and business initiatives, • Develop strategic experiential and branded design concepts for client engagements and events, • Contribute to evolving and improving creative processes and design standards across the team, • Champion brand consistency, ensuring all work aligns with Publicis Groupe’s visual identity and creative standards, • Manage multiple projects simultaneously while maintaining exceptional attention to detail and meeting tight deadlines, • Collaborate effectively within a fast-paced, highly creative team environment, • Take creative direction confidently while also proactively contributing ideas and solutions What we're looking for: • Professional design experience, ideally within an agency or fast-paced creative environment, • Strong portfolio demonstrating exceptional presentation design, layout, and visual storytelling skills, • Advanced PowerPoint expertise with a strong understanding of presentation narrative and motion, • Proficiency across Adobe Creative Cloud, • Excellent typography, layout, and conceptual design skills, • Exceptional attention to detail and organisational ability, • Strong communication skills with the ability to interpret both verbal and written briefs, • Positive, collaborative mindset and openness to creative feedback, • Comfortable working under pressure and managing competing priorities Additional Information Publicis Media offers a wide range of benefits to support our employees. Full details are shared when you join, but highlights include core benefits such as Pension, Life Assurance, and Private Medical cover, alongside enhanced policies like Reflection Days and Shared Parental Leave. You’ll also have access to a range of additional initiatives, including: 📖 Please check out the Publicis Career Page which showcases our Inclusive Benefits and our EAG’s (Employee Action Groups). Publicis Groupe works primarily from the office or our clients' office four days per week. At Publicis Media, 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.

Copilot consultant At KPMG Microsoft Business Solution we implement best in class solutions across the Microsoft technology stack. We have extensive knowledge and expertise in all areas, enabling us to provide our clients with an integrated end-to-end solution. Our solutions are based on the Dynamics 365, Microsoft 365 and Azure range of products which enables us to deliver, powerful, connected business solutions that drive significant client value. The Role: We are looking for a client-facing Data Consultant who can design, build, and optimise modern data platforms and analytics solutions using the Microsoft data stack, with a strong emphasis on Microsoft Fabric. You’ll work across data ingestion, transformation, modelling, governance, and visualisation—translating business needs into robust, secure, scalable solutions that deliver measurable outcomes. This person must be comfortable speaking to client and internal teams on technical matters. The Consultant will be responsible for: • Delivery & Engineering, • Design, build, and optimise data pipelines and architectures using Microsoft Fabric and adjacent Azure data services., • Implement ingestion and transformation patterns in Fabric using Lakehouse, Pipelines, and Notebooks, ensuring data is accessible, well-organised, and high-quality., • Build and maintain scalable data processing systems that transform complex datasets into trusted, analytics-ready assets., • Establish practices for data quality measurement, monitoring, and feedback loops across ingestion/migration activities., • Analytics & Semantic Modelling, • Create and enhance Power BI semantic models (relationships, measures, security rules)., • Implement data-access controls for analytical consumption (e.g., row-level/object-level security patterns in semantic models)., • Develop insightful reporting and analytics experiences in Power BI to augment client decision-making and operational outcomes., • Architecture, Governance & Standards, • Translate business requirements into end-to-end data architecture, balancing performance, cost, security, and maintainability., • Apply and advise on security patterns and contribute to governance-by-design., • Enforce technical documentation standards, architectural artefacts, and implementation patterns that improve repeatability and delivery quality., • Consulting, Stakeholders & Pre-sales, • Engage stakeholders to shape problem statements, clarify requirements, and define pragmatic delivery approaches., • Support scoping, estimation, and delivery planning; produce high-quality client-facing documentation and presentations., • Collaborate with adjacent teams (e.g., Dynamics/Power Platform/AI) to integrate analytics and data capabilities into broader solutions., • Stay current with Fabric capabilities and the evolving Microsoft data ecosystem, bringing innovation into client solutions. Required Skills & Experience • Microsoft Data Stack, • Hands-on experience delivering data solutions with Microsoft Fabric, including Lakehouse, Pipelines, and Notebooks/Spark-based processing., • Strong capability in data pipeline and architecture design and optimisation across Microsoft tooling (Fabric and/or other Azure services)., • Strong Power BI capability (reporting + modelling) and ability to connect engineering outputs to analytics consumption., • Understanding of Direct Lake semantic modelling design considerations (model creation, table choices, and enforcing access rules)., • Proven experience with ingestion and transformation patterns (ETL/ELT concepts), data modelling, and delivering analytics-ready datasets., • Ability to implement approaches that improve delivery reliability: data quality checks, monitoring, and operational feedback mechanisms., • Consulting & Communication, • Strong written and verbal communication, able to present technical concepts clearly to mixed audiences., • Strong relationship-building and stakeholder management in complex client environments., • Code Management, • CI/CD for Fabric items., • Git-based workflow., • Testing frameworks., • Performance tuning patterns., • Cost/capacity optimisation. Desirable Skills & Experience • Experience across adjacent Microsoft services often paired with Fabric (e.g., Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure Data Lake)., • Familiarity with Microsoft Purview and broader governance practices., • Dynamics 365 CE and FO integration and analytics., • Exposure to AI/ML enablement in Microsoft ecosystem (e.g., Azure ML / AI Foundry / Azure OpenAI), particularly where analytics feeds AI-powered apps., • Experience designing BI / data analytics solutions and enforcing architecture/documentation standards. The Person: • Strong technical skills., • Experience of delivering client engagements., • Experience in a consultancy or customer facing role., • An intelligent, analytical and pragmatic approach to problem solving., • Excellent relationship building skills with clients and colleagues., • Excellent interpersonal skills and the ability to influence and manage a range of relationships in a complex environment., • Strong communication skills (verbal, written and listening): an ability to present information concisely, to communicate in a manner applicable to all levels., • Able to produce high quality and professional technical documentation., • Excellent attention to detail and ability to ensure documents are consistent in language, terminology and style., • Flexible approach to work with a focus on delivery to deadlines and high standards., • Ability to handle highly confidential information with tact and discretion.

Company Description Publicis Media harnesses the power of modern media through leading agency brands Dysrupt, Infinite Roar, Publicis Collective, Publicis Health Media, Spark Foundry, Starcom and Zenith, as well as global accelerator PMX; immersive experience group PMCI and access to integrated platform-based technologies and offerings from CJ, Epsilon and Influential. A key business solution of Publicis Groupe, Publicis Media’s digital-first, data-driven global solutions deliver client value and drive growth in a platform-powered world. It is present in over 100 countries with over 23,000 employees worldwide. Overview Publicis Groupe is a global leader in communications, positioned at every stage of the value chain – from consulting to execution – delivering marketing and digital business transformation at scale. We are seeking a culturally fluent, strategically rigorous Influencer Strategy Director to join our global influencer leadership team. This role is central to elevating the quality, effectiveness and strategic impact of social and influencer work across our agencies globally. Sitting at the intersection of social, influence, culture and connected media, this role acts as a strategic guardian and subject matter expert – shaping creator‑led strategies that drive relevance, differentiation and measurable ROI for clients. What you'll do: • Lead best‑in‑class social and influencer strategy, ensuring alignment with broader brand and communications frameworks., • Act as the strategic guardian between brand strategy, creative ambition and influencer execution., • Elevate the quality of social and influencer work across agencies globally, setting clear standards for excellence., • Partner with markets to upskill strategic capability and challenge outputs to be braver, sharper and culturally relevant., • Operate as a deep subject matter expert in creators, living and breathing the creator economy across platforms and formats., • Shape influencer strategies within a connected media ecosystem, articulating how creator activity drives ROI and business impact., • Stay ahead of cultural, platform and behavioural shifts to future‑proof influencer and social strategies., • Lead on influencer strategy within Groupe new business pitches, shaping compelling social and creator‑led growth narratives., • Act as a trusted senior advisor to clients on cultural positioning, social behaviour and influencer effectiveness., • Contribute to internal and external thought leadership, helping position Publicis Media as a leader in influence and culture. What we're looking for: • Proven experience in influencer marketing, social strategy or cultural consultancy within an agency or brand environment with over 10+ years of experience., • Ability to work in highly matrixed organization and successful in managing teams with indirect influence, • Deep understanding of internet culture, creators, Gen Z behaviours and emerging subcultures along with an understanding of global social and influencer ecosystems and platform dynamics, • Strategic and creative thinker, able to turn cultural insight into measurable brand impact., • Strong storytelling and presentation skills, with senior‑level client credibility., • Comfortable navigating fast‑moving environments and evolving cultural landscapes, • Strong leadership, project management, and communication skills SKILLS • Strategic Leadership, • Creator & Cultural Intelligence, • Social & Influencer Expertise, • Connected Media & ROI Thinking, • New Business & Commercial Acumen, • Creative Collaboration Additional Information Publicis Groupe has fantastic benefits on offer to all of our employees. In the UK, in addition to the classics, Pension, Life Assurance, Private Medical and Income Protection Plan, we also offer; • WORK YOUR WORLD opportunity to work anywhere in the world, where there is a Publicis office, for up to 6 weeks a year., • REFLECTION DAYS - Two additional days of paid leave to step away from your usual day-to-day work and create time to focus on your well-being and self-care., • HELP@HAND BENEFITS 24/7 helpline to support you on a personal and professional level. Access to remote GPs, mental health support and CBT. Wellbeing content and lifestyle coaching., • FAMILY FRIENDLY POLICIES We provide 26 weeks of full pay for the following family milestones: Maternity. Adoption, Surrogacy and Shared Parental Leave., • FLEXIBLE WORKING, BANK HOLIDAY SWAP & BIRTHDAY DAY OFF You are entitled to an additional day off for your birthday, from your first day of employment., • GREAT LOCAL DISCOUNTS This includes membership discounts with Soho Friends, local restaurants and retailers in Westfield White City and Television Centre. Full details of our benefits will be shared when you join us! Publicis Groupe operates a hybrid working pattern with full time employees being office-based four days during the working week.

AI & Machine Learning Engineer Location – London (Hybrid) Do you have at least 5 years of experience as a AI & Machine Learning Engineer? Commercially minded with good business acumen alongside technical ability? Hold a Bachelor’s or Master’s degree in Computer Science, Data Science or AI / ML Engineering? Proven experience with Azure Databricks and other Azure services such as Azure ML and AI Foundry? Legal Sector Experience? (Ideal but not essential) The Role My client, (A Leading International Law Firm) both have an urgent requirement to appoint an experienced AI & Machine Learning Engineer to join their friendly and supportive Data Science team based at their prestigious offices based in Central London. The AI & Machine Learning Engineer will be responsible for designing, deploying, managing, and optimising AI products, machine learning models, and agentic AI workflows. Leveraging the Azure ecosystem, the role will focus on delivering production-ready AI/ML infrastructure and applications that are scalable, secure, governed, and cost-effective. The AI Engineer will support the development of Data & AI products that accelerate my clients ambition to enhance legal processes through innovative technologies, improve operational efficiency, and deliver data-driven insights for better decision-making. This role will work closely with platform engineers, data scientists, data engineers, and business stakeholders to move AI solutions from experimentation into reliable production use. Key Duties and Responsibilities • Design, develop, deploy, and optimise machine learning models and LLM-based solutions using Azure Databricks, Azure ML, or Azure AI Foundry, • Build and maintain scalable LLM-powered applications, ensuring performance, reliability, and cost efficiency in production, • Develop and support agentic AI workflows for autonomous or semi-autonomous task execution and orchestration, • Build and maintain pipelines that support AI/ML workflows, including data preparation, experimentation, evaluation, deployment, and monitoring, • Collaborate with platform engineers, data scientists, data engineers, and business stakeholders to integrate AI/ML solutions into production environments, • Implement and optimise retrieval, prompting, tool-calling, and orchestration patterns for enterprise AI applications, • Develop AI services and workflows using LangChain, LangGraph, or similar frameworks for multi-step reasoning and orchestration, • Enable standardised tool and context integration across AI applications using MCP or similar interoperability patterns, • Monitor, troubleshoot, and continuously improve models and AI workflows in production to ensure reliability, quality, and accuracy, • Apply LLMOps and MLOps best practices across experimentation, versioning, deployment, monitoring, and lifecycle management, • Ensure AI/ML solutions align with cloud governance, security, compliance, and responsible AI requirements, • Document models, workflows, engineering patterns, and deployment processes to support reproducibility and knowledge sharing, • Stay current with emerging AI/ML, LLMOps, and agentic AI capabilities and apply them pragmatically to improve existing solutions Key Skills & Experience • Hands-on experience with Azure Databricks, Azure ML, and ideally Azure AI Foundry, • Strong experience deploying and managing LLMs and machine learning models in enterprise cloud environments, • Experience using MLflow for experiment tracking, model lifecycle management, and versioning of both traditional ML models and LLM-based solutions, • Strong understanding of LLMOps practices, including deployment, monitoring, scaling, evaluation, governance, and cost control, • Experience building agentic AI workflows and orchestration patterns using frameworks such as LangChain, LangGraph, or similar, • Understanding of Model Context Protocol (MCP) or equivalent approaches for standardised integration between AI applications, tools, and enterprise data sources, • Strong Python engineering skills, including experience with libraries and frameworks such as PyTorch, Pydantic, LangChain, and LangSmith, • Experience with prompt orchestration, structured outputs, evaluation, and tool-calling patterns for LLM applications, • Knowledge of RAG patterns, vector search, and enterprise retrieval approaches, • Understanding of cloud governance, compliance, and responsible AI controls, • Good understanding of key Azure services such as Virtual Machines, Active Directory, Automation, and related cloud infrastructure, • Experience building and supporting ETL and workflow pipelines using Azure Data Factory, Databricks workflows, or similar, • Experience with containerisation and orchestration tools such as Docker and Kubernetes, • Experience with version control systems, particularly GitLab, and CI/CD pipelines, • Familiarity with Agile product development environments, including sprint planning, stand-ups, and retrospectives, • Strong understanding of data structures, transformation logic, and integration patterns, • Ability to communicate effectively with technical and non-technical stakeholders, • Collegiate, pragmatic, and delivery-focused, with a willingness to support broader team goals My clients both offer a very competitive salary, annual bonus, excellent benefits and flexible hybrid working within a friendly, professional and supportive team and there are excellent opportunities for further development within the businesses, globally.

• Central London location – 3-5 days on site p/week, • Up to £65k DoE plus bonuses, • Active MoD DV clearance required, • Experience required in Python, SQL, and ideally Palantir Overview Our client is a secure-sector SME consultancy based in Central London who are looking to bring an experienced Security Cleared Data Engineer into their growing technical team. You will be working on sensitive, mission-critical programmes, designing and delivering robust data solutions in a highly regulated environment. This is an excellent opportunity for a Data Engineer who enjoys working in small, high-impact teams, close customer-facing consultancy, and wants exposure to modern data platforms and tooling. Required Skills & Experience • Proven commercial experience as a Data/Software Engineer/Consultant, • Strong development skills in Python, • Advanced SQL skills with experience working on complex datasets, • Experience with core data engineering tools and technologies (e.g. ETL/ELT pipelines, data warehouses, orchestration tools), • Strong understanding of data modelling, data quality, and performance optimisation Desirable Experience • Experience with Palantir (Foundry, Gotham), • Willingness and aptitude to learn Palantir technologies on the job, • Background working in defence, government, or other highly regulated environments, • Exposure to cloud platforms and modern data architectures Apply If you’re a DV Cleared Data Engineer with strong Python and SQL experience and an interest in working with Palantir, please apply with your latest CV.

Company Description Publicis Media harnesses the power of modern media through leading agency brands Dysrupt, Infinite Roar, Publicis Collective, Publicis Health Media, Spark Foundry, Starcom and Zenith, as well as global accelerator PMX; immersive experience group PMCI and access to integrated platform-based technologies and offerings from CJ, Epsilon and Influential. A key business solution of Publicis Groupe, Publicis Media’s digital-first, data-driven global solutions deliver client value and drive growth in a platform-powered world. It is present in over 100 countries with over 23,000 employees worldwide. Role Overview We're on the lookout for a Commercial Associate Director to join our team. Reporting to the Senior Commercial Director, the Commercial Associate Director will play a key role in coordinating and owning all commercial information across global markets for high-profile clients. The Associate Commercial Director will facilitate a unique role in the team acting as the Commercial Lead on small-medium sized pitches and the support on the biggest pitches within Publicis Media. They will also act as the Commercial Lead for some of our existing clients, being the main point of contact for clients of various sizes. This is a hands-on role requiring strong teamwork, proactivity, and attention to detail, with excellent communication skills to collaborate effectively across international teams. What you'll do: • Act as the Commercial Lead on existing clients within Publicis Media, responsible for maintaining the commercial relationship with the Procurement Lead, • Act as escalation point for all commercial matters (clarifications, market queries etc) with support from the Commercial Manager., • Manage all commercial negotiations from a Global level, supporting markets and Global teams where necessary by attending client and internal calls., • Prepare reports for, and present in ad hoc, monthly, bi-annual, and annual client meetings., • Ownership with Legal on commercial contracts and client procurement discussions, ensuring effective communication and adherence to commercial principals in markets., • Oversee scopes of work with Client Directors, ensuring out-of-scope work is captured, costed, and flagged., • Attend regular client calls with Media Leads & Procurement., • Creation of proactive growth plans., • Lead smaller Global and / or Regional pitches with the support of a Commercial Manager, responsible for developing the commercial strategy and direction of the pitch on smaller pitches., • Coordination of pitch offers with internal departments including new business, I&A and client teams., • Ownership of all relevant documentation supporting our submission. What we're looking for: Please note this is not a commercial finance role. This position sits within commercial strategy and business development. • Media agency experience in a Senior Commercial Manager, Associate Director or similar type role., • Strong understanding of the pitch and commercial strategy process within Media., • Strong client management, relationship building and influencing skills., • Strong quantitative and negotiation skills, with a understanding of media agency dynamics and contracts., • Proficiency in data management and Excel (including VLOOKUP, SUMIF, Pivot tables); VBA skills are a plus., • Exceptional attention to detail, initiative, and time management for handling multiple tasks. Additional Information Publicis Groupe operates a hybrid working pattern with full time employees being office-based four days during the working week. We are supportive of all candidates and are committed to providing a fair assessment process. If you have any circumstances (such as neurodiversity, physical or mental impairments or a medical condition) that may affect your assessment, please inform your Talent Acquisition Partner. We will discuss possible adjustments to ensure fairness. Rest assured, disclosing this information will not impact your treatment in our process. Please make sure you check out the _ which showcases our Inclusive Benefits and our EAG’s (Employee Action Groups).

Title :Senior AI Platform Architect – Agentic SDLC Automation Location : London, UK - Hybrid 2 to 3 days 1. The Role We are looking for an experienced AI Platform Architect to design, architect, build, and operationalise an enterprise Agentic AI Harness that enables end-to-end SDLC automation across .NET and Azure environments. The successful candidate will define the architecture, standards, patterns, and operating model for an agent-based engineering platform scaffolding or harness using GitHub Copilot Agents and frameworks such as Microsoft Agent Framework, ADK, LangGraph, LangChain, and LangFuse. This harness will automate and assist key SDLC activities, including requirements generation, specification creation, story breakdown, architecture and design decision capture, task planning, test generation, code creation, test execution, infrastructure-as-code generation, and CI/CD pipeline creation. The target outcome of the harness will be production-ready .NET applications deployable into Azure cloud environments. In addition to designing and implementing the platform, the role will provide architectural leadership and guidance to architects and engineering teams, helping establish Agentic Software Delivery practices across the organisation. This role is ideal for someone with strong software architecture experience, practical AI engineering skills, and a deep understanding of modern DevOps, cloud-native architecture, platform engineering, and enterprise-grade application delivery. 1. Tech Skills Required The candidate should have hands-on experience with the following: AI and Agentic Engineering · Experience designing and building AI agents, multi-agent workflows, or agentic orchestration systems · Practical knowledge of frameworks such as Microsoft Agent Framework, ADK, LangGraph, LangChain and LangFuse · Prompt engineering, tool calling, structured outputs, agent memory, planning, routing, and evaluation patterns · Experience integrating LLMs with enterprise systems, repositories, APIs, and development workflows · Understanding of AI observability, tracing, evaluation, guardrails, and feedback loops · Experience defining architecture patterns and governance for enterprise AI platforms SDLC Automation and Developer Productivity · Experience using AI coding tools such as GitHub Copilot, Claude Code and Cursor · Ability to design automated workflows for: o Requirements analysis o Specification generation o User story creation o Architecture and design decision records o Task breakdown o Test case generation o Test plan creation o Code generation o Test execution o Documentation generation · Experience defining engineering standards, reusable templates, and software delivery patterns Software Architecture and Engineering · Strong experience with .NET / C# · Experience designing APIs, services, backend systems, and cloud-native applications · Good understanding of software architecture, clean code principles, design patterns, secure coding practices, and Test-Driven Development (TDD) methodologies · Experience with unit testing, integration testing, functional testing, and automated test execution · Familiarity with test frameworks and automated testing tools used within the .NET ecosystem · Experience producing architecture artefacts including reference architectures, architecture decision records, and implementation blueprints Cloud and Platform Architecture · Strong experience with Microsoft Azure · Experience designing cloud-native platforms and developer enablement capabilities · Understanding of Infrastructure-as-Code, CI/CD pipelines, platform engineering, and cloud governance · Experience designing secure, scalable, and resilient enterprise solutions 1. What the Role Will Do The AI Platform Architect will be responsible for defining, designing, and implementing an Agentic SDLC platform capable of supporting the full software delivery lifecycle. Key Responsibilities · Define the target-state architecture for an Agentic Software Delivery platform · Design and build an AI Agentic Harness that orchestrates multiple AI agents across the SDLC · Create reference architectures, reusable patterns, standards, and implementation blueprints for Agentic Engineering · Use frameworks such as Microsoft Agent Framework, ADK, LangGraph, LangChain, and LangFuse to create agent workflows · Integrate the harness with development tools such as GitHub Copilot, Claude Code, Cursor, GitHub, Azure DevOps, and CI/CD platforms · Establish architectural guardrails, governance controls, and quality standards for AI-generated software delivery · Build agents that can generate: o Business and technical specifications o Epics, features, and user stories o Acceptance criteria o Design decisions and architecture decision records o Engineering tasks and implementation plans o Test cases and test plans o .NET application code o Infrastructure-as-Code templates o CI/CD pipeline templates o Deployment documentation · Execute the harness to generate working .NET / C# code · Build validation loops to review generated outputs for correctness, security, quality, and maintainability · Create test automation capabilities that generate and execute tests against produced code · Implement mechanisms for code review, quality checks, static analysis, and automated feedback · Ensure generated applications are deployable into Azure environments · Create reusable patterns, templates, prompts, workflows, and agent configurations · Implement observability and traceability for agent decisions, tool usage, prompts, responses, and generated artefacts · Work with enterprise architects, solution architects, engineers, product owners, and platform teams to align the harness with enterprise engineering standards · Train and mentor architects and development teams on Agentic Software Delivery approaches and AI-assisted engineering practices · Contribute to security, compliance, governance, and responsible AI controls around AI-generated software delivery · Continuously improve the platform based on output quality, developer feedback, and delivery outcomes 1. Nice to Have Skills The following skills would be advantageous: · Experience with Semantic Kernel, Azure AI Foundry, Azure OpenAI, or OpenAI APIs · Experience with Model Context Protocol (MCP) tools and agent tool integration · Experience creating reusable software factory, internal developer platform, or platform engineering capabilities · Familiarity with DevSecOps, secure SDLC, and automated security testing · Experience building RAG-based systems or integrating AI agents with enterprise knowledge bases · Knowledge of enterprise data privacy, Responsible AI, and AI governance controls · Experience working in Agile delivery environments · Ability to create technical documentation, reference architectures, architecture standards, and engineering playbooks · Experience coaching architects and engineering teams on modern software delivery practices and AI adoption

The company is looking for a Communications Manager for a 12 month (maternity cover) FTC, and can be flexible in terms of days contracted, between 3-5.

Hands-on familiarity or the ability to quickly master Gen AI infrastructure platforms including AWS Bedrock, Azure AI Foundry, or Google Vertex. You are a pragmatic builder who is obsessed with iterating and shipping, never afraid to roll up your sleeves to build the first version yourself. Advanced

Blockchain Developer - Web3 / DeFi Innovator - London (Tech stack: Blockchain Developer, Solidity, Node.js, React, HTML5, CSS3, TypeScript, Foundry, Hardhat, Ethereum-based ecosystems, bridging between L1 and L2, NoSQL databases, Git, Agile, Rust, Go, L2 frameworks, Unity, Unreal, GoDot, Programmer, Full Stack Engineer, Architect, Blockchain Developer) We have an exciting new opportunity for a Blockchain Developer to join one of London's most forward-thinking Web3 / DeFi innovators. This is your chance to work at the cutting edge of blockchain technology-building scalable, decentralised applications and systems with real-world impact. Our client is on a mission to reshape how decentralised finance and digital ecosystems interact, using sophisticated Layer 2 scaling solutions and bleeding-edge tech. Our client is looking for a passionate Blockchain Developer with strong skills in Ethereum-based ecosystems. You will be joining a world-class engineering team, contributing across the full stack, from writing performant smart contracts to architecting scalable back-ends and beautiful user-facing interfaces. They will provide exposure and training in: Solidity, Node.js, React, HTML5, CSS3, TypeScript, Foundry, Hardhat, Ethereum-based ecosystems, bridging between L1 and L2, NoSQL databases, Git, Agile, Rust, Go, L2 frameworks, Unity, Unreal and GoDot. This is your opportunity to be involved in building a brand-new decentralised application from the ground up, working in an agile, fast-paced and intellectually stimulating environment. Web3 is evolving rapidly and our client is at the forefront. All Blockchain Developer positions come with the following benefits: Token-based equity options. Private healthcare. Remote-first working environment. 3 hours of innovation time each week to explore emerging blockchain tech. Annual training budget of £5,000. 28 days holiday (excluding Bank Holidays) plus your birthday off. Flexible working hours. Monthly team socials (virtual and in-person). Work-from-anywhere policy for up to 6 weeks per year. Location: London, UK / Fully Remote Salary: £65,000 - £90,000 + Bonus + Equity + Benefits Applicants must be based in the UK and have the right to work in the UK, even though this is a remote-first position. NOIRUKTECHREC NOIRUKREC

Experience with Azure’s native AI stack (including AI Foundry, Search, Cosmos DB, and AKS), strong Python and C# skills, VS Code (ideally with AI tools like Copilot), familiarity with Docker, Kubernetes, and scalable cloud-native architecture, and a track record of working in agile teams using Azu

You will establish and enforce governance frameworks for data, analytics, and AI initiatives, ensuring compliance, data quality, ethical AI, and risk mitigation within the Palantir Foundry environment. Lead data stewardship and metadata management within Foundry. Stay current with industry standards

Platform Engineer AWS, Databricks and Unity Catalog. Job Description Platform Engineer AWS, Databricks and Unity Catalog SC Eligible | Foundry experience: Desirable | Core skills: AWS, Databricks, Unity Catalog, Terraform.

Design and evolve scalable backend services in Python using FastAPI for high-availability, high-throughput workloads. Work with Palantir Foundry to build and maintain data pipelines, ontologies, and integrations that connect backend services to Foundry-based analytics and workflows. Mentor engineers

Foundry Operative Full-time, permanent post Location: Kingsilver Refinery, Church Ln, Hixon, Stafford ST18 0PY Working hours: 48 HOURS PER WEEK 4 ON 3 OFF -12 HOUR SHIFTS Who are we? JBMI Group Ltd have over 40 years experience in the aluminium ingot manufacturing and dross recycling industry. The R

Our client would like to take on candidates with Foundry experience if candidates do not have a Foundry background then they must be able to demonstrate a good manufacturing background Candidates must also be aware that working in a Foundry can be heavy, dusty and noisy it will also be hot in the su

Due to organic growth, we are recruiting for several Foundry Welders to join a Global business that manufacture highly engineering products for the oil & gas, power generation and aerospace & defence markets. Standard Working Hours of the Foundry Welder : Monday to Thursday 5. In return, the success

Key Responsibilities Loading and unloading materials and castings Grinding, fettling and finishing cast products Operating machinery and equipment safely and effectively Carrying out visual quality inspections of finished products Following production schedules and work instructions Maintaining a cl

Key words: Foundry, Furnace, Operations, Melting, Manager, Team Leader, Supervisor, Managerial, Manufacturing, Cast Iron, Engineering, Engineer, Dudley, Birmingham, West Midlands. Dudley Are you an experienced Foundry or Melting Manager looking to take ownership of a critical manufacturing departmen

Syntax Consultancy Ltd is seeking a Platform Engineer specializing in Palantir Foundry and Databricks to work on a 6-month contract. The ideal candidate must have strong hands-on experience with Palantir Foundry and Databricks on AWS, including configuring integrations and troubleshooting issues.

Senior Consulting Engineer Forward Deployed London | Hybrid Competitive Salary + Bonus + Benefits A leading deep data and AI consultancy, operating at the forefront of complex digital transformation programmes, is seeking Senior Consulting Engineers to join its growing Forward Deployed Engineering team. This organisation partners with major public and private sector clients to solve highly complex operational challenges through advanced data platforms, AI integration, and modern engineering practices. The environment combines the pace and ownership of a product engineering culture with the impact and variety of consulting delivery. This is an opportunity to work directly alongside end users and stakeholders, designing and deploying real-world solutions that drive operational decision-making at scale. The Role As a Senior Consulting Engineer, youll operate in a highly hands-on, client-facing capacity with significant ownership across the full solution lifecycle. Youll work across: Data engineering and transformation pipelines AI-enabled workflows and operational tooling Front-end application development Solution architecture and stakeholder engagement Rapid prototyping and iterative deployment Youll collaborate directly with clients to understand complex business problems, translate technical concepts into stakeholder-friendly communication, and build scalable solutions that create measurable impact. Key Responsibilities Design and deliver end-to-end technical solutions across complex data environments Build and maintain applications using technologies such as Python, PySpark, TypeScript, and React Develop AI-driven workflows and operational tooling Work directly with client stakeholders in fast-paced delivery environments Present demos, gather feedback, and iterate rapidly Contribute to internal innovation initiatives and engineering best practices Support and mentor junior engineers within collaborative project teams What Were Looking For Strong software engineering or data engineering background Experience with Python and/or SQL, with exposure to TypeScript or React beneficial Understanding of ETL pipelines, data platforms, and modern application development Strong problem-solving capability and ability to work in ambiguous environments Excellent communication skills and stakeholder engagement experience Comfortable operating in client-facing or consulting-style environments Experience with Palantir Foundry, Gotham, or similar platforms is advantageous but not essential Why Apply? Work on genuinely impactful, mission-critical projects Join a highly collaborative, low-ego engineering culture Gain exposure to cutting-edge AI and data technologies Significant autonomy and ownership from day one Clear progression opportunities within a rapidly growing practice Opportunity to work across defence, infrastructure, public sector, and enterprise transformation programmes If youre an engineer who enjoys solving complex real-world problems and wants to combine technical depth with meaningful client impact, wed love to hear from you. TPBN1_UKTJ

Artificial Intelligence AI Engineering Manager This is a new and exclusive opportunity for an Artificial Intelligence AI Engineering Manager to join a thriving STEM business as they invest in their Artificial Intelligence AI Engineering team Role details Title: Artificial Intelligence AI Engineering Manager Team: Core AI / Applied AI Platforms Location: London or Glasgow, 1 or 2 days a week in the office with flexibility and home working hybrid Reports to the Director of Artificial Intelligence AI Salary; £(phone number removed) base salary Technical stack: AI & Emerging Technology Expertise- agent or autonomous AI systems., LLM, Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services). This is a new and exclusive opportunity for an Artificial Intelligence AI Engineering Manager to lead the design, delivery, and scale of enterprise-grade AI engineering strategy and capabilities, with a focus on agentic AI systems, cloud-native architectures, and responsible AI deployment. This role operates as a player-coach, combining hands-on engineering leadership with team management. The AI Engineering Manager is accountable for building high-performing teams, delivering production AI solutions, and embedding security, governance, and reliability into all AI workloads. This role will include:- AI Platform Engineering & Delivery Agentic AI & Orchestration AI Security, Safety & Governance Cloud & Infrastructure Engineering Leadership & Team Development Stakeholder Engagement & Strategy To be successful in this role, we need someone who can combine technical Artificial Intelligence AI engineering skills, and team leadership/ team management experience Core Technical Competencies Strong hands-on experience with Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services). Experience with LLM application design: RAG, prompt engineering, orchestration frameworks. AI & Emerging Technology Expertise- agent or autonomous AI systems. Requirements Leadership & Delivery Experience - 5+ years in senior engineering roles, with experience leading technical teams. AZURE expertise AI & Emerging Technology Expertise- agent or autonomous AI systems. For more information, and the chance to be considered, please do send through a CV through to k.roe at Huxley Many thanks To find out more about Huxley, please visit 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

Platform Engineer (AWS / Databricks) London (Hybrid) 6 Month Contract £600/day (Inside IR35) Platform Engineer needed with strong AWS, Databricks and Unity Catalog experience. Start ASAP in May/June 2026. 6 Month Rolling Contract based in London (Hybrid), with occasional travel to the Leeds office. Hybrid Working - 3-4 days/week remote (WFH) + 1-2 days/week working from the office in London. A chance to work with a leading global IT transformation business specialising in large-scale Government projects: Supporting secure integration between AWS hosted data sources, Databricks workspaces and downstream enterprise data platforms. Design and support secure integration across AWS S3, Databricks and downstream data platforms. Strong hands-on experience with AWS IAM, S3, KMS and secure cloud access patterns. Hands-on Databricks on AWS experience, including Hive Metastore, Delta tables, SQL Warehouse and workspace access controls. Practical Unity Catalog experience, including grants, external locations, storage credentials and governed data access. Scope includes data held in S3, registered through Databricks Hive Metastore, governed or exposed through Unity Catalog, and consumed through approved connector-based patterns. Configure least-privilege access to S3 using IAM roles, bucket policies, KMS permissions and approved access controls. Support Databricks access patterns where S3-backed data is registered through Hive Metastore and exposed or migrated into Unity Catalog. Configure and validate Unity Catalog objects, including catalogs, schemas, tables, views, grants, storage credentials and external locations. Support downstream connectivity to Databricks using SQL Warehouse, tables, views or connector-based integration patterns. Develop Terraform/IaC for AWS IAM, S3, KMS and Databricks-related configuration. Troubleshoot access, metadata, schema, query and connectivity issues across AWS, Databricks and downstream integrations. Technical Environment: AWS, Databricks, Unity Catalog, Palantir Foundry, Terraform, IaC, Delta, Parquet, CSV, JSON, Python, PySpark, SQL, CI/CD, GitLab, GitHub Actions

AI Architect 6 Months Must have or be eligible for SC Clearance £TBC (Inside IR35) My client, a government body are looking for an AI Architect to join their fast-paced team on an initial 6 month contract. As an AI Architect, you will be part of a team of specialists who work with our industry-facing client partners to shape, design and deliver AI solutions to our clients. This is a fast-paced area of IT, so you will need to be continuously learning, be self-driven and think creatively about solving client problems. You will work with others to reflect back the views of our clients and prospects and help to continuously shape our solutions. On the job details- Designing and implementing innovative AI solutions that meet client needs and drive business value. Collaborating with cross-functional teams to integrate AI technologies into existing systems and processes. Demonstrating modern AI solutions to clients, showcasing their benefits and applications. Conducting research and analysis to stay updated on the latest AI trends and technologies. Communicating complex AI concepts and solutions to stakeholders in a clear and engaging manner. Distilling information about proposed architectures into actionable insights for developers to implement those solutions effectively. Creating and managing agents, knowledge graphs and chatbots to enhance user experience and efficiency. Architecting and leading the implementation of AI harness engineering ecosystems and agentic solutions using platforms such as Claude Code, Claude Agent SDK, Codex, and related AI engineering toolchains. Developing and optimizing AI models using machine learning and AI engineering platforms. Mentoring and guiding team members to foster a culture of continuous learning and innovation in AI. Skills and Experience required- Strong experience with Solution Architecture, with specific recent focus on AI and Generative AI solutions, demonstrating a strong understanding of current trends and technologies. Proven ability to architect and deploy innovative AI solutions under tight deadlines, effectively showcasing these solutions to client stakeholders and communicating their business impact. Experience in providing solutions using Agent Harness, Retrieval-Augmented Generation (RAG), GraphRAG, knowledge graphs, code agents, deep research agents, and chatbots. Familiarity with AI engineering platforms (Azure AI Foundry, AWS Bedrock). Knowledge of agentic frameworks (Claude Agent SDK, AWS Bedrock AgentCore, MS Agent Framework, Langgraph Deep Agents,) and machine learning platforms for model training and deployment. Strong problem-solving skills, a proactive attitude, and an entrepreneurial mindset with a commitment to continuous learning. 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. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change

Platform Engineer (Palantir Foundry) London (Hybrid) 6 Month Contract £600/day (Inside IR35) Platform Engineer needed with strong Palantir Foundry and Databricks on AWS. Start ASAP in May/June 2026. 6 Month Rolling Contract based in London (Hybrid), with occasional travel to the Leeds office. Hybrid Working - 3-4 days/week remote (WFH) + 1-2 days/week working from the office in London. A chance to work with a leading global IT transformation business specialising in large-scale Government projects: Configure + support secure integration between Palantir Foundry and Databricks on AWS. Scope includes data held in S3, registered through Databricks Hive Metastore, governed or exposed through Unity Catalog, and consumed by Foundry using the Databricks connector or approved ingestion patterns. Hands-on Palantir Foundry experience, including connectors, Data Connection, datasets, syncs, projects and permissions. Experience configuring or supporting the Palantir Foundry Databricks connectors. Strong Databricks on AWS experience, including SQL Warehouse, clusters, tables, views and access controls. Good understanding of Hive Metastore and Unity Catalog, including catalogs, schemas, grants, storage credentials and external locations. Strong AWS IAM, S3, KMS, bucket policy and cross-account access experience. Set up and validate the Foundry Databricks connector for approved SQL Warehouses, tables, views and Unity Catalog-governed objects. Support end-to-end access from AWS S3 sources through Hive Metastore and Unity Catalog into Foundry datasets or products. Configure Foundry Data Connection, datasets, syncs, projects, permissions and lineage as required. Work with AWS teams to define IAM roles, S3 bucket policies, KMS permissions and approved cross account access patterns. Troubleshoot Foundry connector failures, Databricks authentication issues, Unity Catalog grants, schema mismatches and query failures. Technical Environment: Palantir Foundry, Foundry Virtual Tables, Ontology, Workshop, Pipeline Builder, Code Repositories, AWS, Databricks, Terraform, IaC, Delta Lake, Parquet, Iceberg, CSV, JSON, Python, PySpark, SQL, CI/CD, GitLab, GitHub Actions

AI Engineer / Azure / Generative AI / Permanent / London / Hybrid Vivo Talent are looking for an experienced AI Engineer to join our client and design, build and support enterprise AI platforms and solutions within a modern Azure environment. You'll be collaborating closely with developers, data scientists and business stakeholders to turn AI proof-of-concepts into secure, scalable production solutions. It is a great opportunity for someone looking to take concepts to solutions and make valuable impact. Key Responsibilities Build and maintain AI infrastructure using Microsoft Azure technologies including Azure AI Foundry, Azure OpenAI, Azure ML and Copilot Studio. Develop and manage CI/CD, LLMOps, and MLOps pipelines for Generative AI applications. Design and deploy GenAI, RAG and intelligent agent solutions across enterprise systems. Implement Infrastructure as Code (Terraform) and secure cloud environments following best practices. Support AI experimentation, model fine-tuning, prompt evaluation and production deployment. Monitor AI performance, token usage, cost optimisation, reliability and security. Collaborate with cross-functional teams to deliver scalable and compliant AI solutions. Promote Responsible AI, governance, and data security across all AI initiatives. Required Experience Strong experience with Azure AI services, Azure OpenAI and AI infrastructure engineering. Hands-on expertise with Generative AI, RAG architectures, NLP and agentic workflows. Experience building secure CI/CD, LLMOps, and MLOps pipelines. Knowledge of Terraform, cloud security, APIs, and enterprise integrations. Familiarity with frameworks such as LangChain or Semantic Kernel. Strong stakeholder communication and cross-functional collaboration skills. This is an exciting opportunity to help shape and scale enterprise AI capabilities while working with cutting-edge Generative AI technologies in a secure, innovation-driven environment. AI Engineer / Azure / Generative AI / Permanent / London / Hybrid AI Engineer / Azure / Generative AI / Permanent / London / Hybrid AI Engineer / Azure / Generative AI / Permanent / London / Hybrid