Orchestration jobs in United Kingdom - Page 3

*Banking/FS experience is must. Required Skills & Experience • Strong hands-on experience with Red Hat OpenShift (deployment, scaling, troubleshooting), • Proficiency in Ansible for configuration management and automation, • Solid understanding of Kubernetes architecture and container orchestration, • Experience with CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps), • Strong knowledge of Linux/Unix systems administration, • Familiarity with Docker/containerization technologies, • Experience with cloud platforms (AWS, Azure, or GCP), • Good scripting skills (Bash, Python, or similar), • Understanding of networking, security, and monitoring tools

My client is a tech-enabled advisory business serving insurance, wealth management, and broader financial services. They combine deep industry partners, a high-calibre consulting network, and a proprietary AI platform that's already live and in production. They're looking for a Founding Engineer..... someone who will own the full technical direction of the platform and grow with the Firm on this unique and exciting journey. The platform is real: a 25+ entity relational data model, multi-LLM orchestration across Claude, Gemini, and GPT, deep Microsoft 365 integration, and a commercial intelligence layer built on Microsoft Fabric and Power BI. 𝗪𝗵𝗮𝘁 𝘆𝗼𝘂'𝗹𝗹 𝗼𝘄𝗻: → End-to-end architecture: frontend, backend, data layer, AI infrastructure → Evolution toward a scalable, modular, multi-tenant platform → RAG pipelines, document indexing, LLM orchestration at scale → Data integrations: SharePoint, Fireflies, Zapier, Xero and Zoho → Team growth and engineering practice maturity → AI strategy conversations directly with senior partners and clients. 𝗧𝗲𝗰𝗵 𝘀𝘁𝗮𝗰𝗸: Next.js · Node.js / Express · Azure · MS SQL · MongoDB · LlamaIndex · BullMQ · Redis · Microsoft Fabric · Power BI · GitHub Actions 𝗪𝗵𝗼 𝘁𝗵𝗶𝘀 𝗶𝘀 𝗳𝗼𝗿: A senior or staff engineer ready for full ownership. You've shipped production systems, you think clearly about architecture, and you can hold a room with non-technical stakeholders. We'll also consider a PhD, with the right type of exposure, knowledge, and approach. Financial services experience is also a genuine advantage — but not a requirement. Equity participation is also part of the package for the right candidate. Essential requirements: • Strong academic background — a rigorous foundation matters here, • At least 2 years working with AI or ML systems in production and 3–5 years of substantive software / platform engineering, • Deep JavaScript / Node.js skills, • Azure Fluency, • JSON data structures, REST API design, and complex semi-structured data, • Practical LLM application — RAG architectures, prompt engineering etc, • Comfort with both relational (MS SQL) and document (MongoDB) databases This is a founding role in every sense. If this sounds like you, or someone you know..... Happy to share more details confidentially. Please apply here, or contact me on 07808 782801 /

Role Title Principal Forward Deployed Engineer – AI & M&A Location London, United Kingdom (Hybrid) Employment Type Permanent Role Overview We are seeking a highly experienced Forward Deployed Engineer (FDE) to partner closely with executive stakeholders, deal teams, and client leadership to deliver high‑impact AI‑driven solutions in Mergers & Acquisitions and complex enterprise transformation contexts. This role is ideal for a senior technologist with 20+ years of experience, combining deep hands‑on engineering capability with strategic advisory skills. You will sit at the intersection of AI, data, product, and business, translating ambiguous commercial objectives into deployable, production‑grade solutions that directly support transaction strategy, value creation, and post‑merger integration. Key Responsibilities Client & Stakeholder Engagement • Act as a trusted technical advisor to C‑suite, deal teams, and senior enterprise stakeholders during pre‑deal, due diligence, and post‑merger integration phases, • Partner with investment teams, corporate development, and strategy functions to shape AI‑led M&A use cases, • Lead forward deployment of AI, data, and analytics solutions directly within client environments, • Design and implement end‑to‑end solutions covering data ingestion, modeling, orchestration, and deployment, • Rapidly prototype, iterate, and productionise AI‑enabled workflows under tight deal timelines, • Apply machine learning, generative AI, and advanced analytics to support M&A use cases such as:, • Commercial and operational due diligence, • Synergy identification and value leakage analysis, • Technology landscape rationalisation, • Post‑merger performance monitoring and integration tracking, • Provide hands‑on technical leadership across architecture, engineering standards, and best practices, • Guide teams on scalable, secure, and compliant system design, • Influence platform, tooling, and data strategy decisions at an enterprise level Essential • 20+ years’ experience in technology, including senior engineering, architectural, or technical leadership roles, • Proven experience working as a Forward Deployed Engineer, Principal Engineer, Solutions Architect, or similar client‑facing technical role, • Strong track record delivering AI‑driven solutions in real‑world, production environments, • Demonstrated experience supporting M&A, private equity, corporate development, or large‑scale transformation initiatives, • Deep hands‑on expertise with:, • Python and modern data/AI engineering stacks, • Data pipelines, distributed systems, and cloud platforms (AWS, Azure, or GCP), • Machine learning and/or Generative AI workflows, • Strong understanding of how technology enables value creation in M&A contexts, • Experience communicating technical trade‑offs, risks, and ROI to executive and investment audiences, • Experience in consulting, private equity–backed environments, or high‑growth technology companies, • Background in data‑intensive platforms, AI products, or decision intelligence systems, • Exposure to regulated industries (e.g. financial services, insurance, healthcare), • A senior, high‑impact role operating at the intersection of technology, AI, and corporate strategy, • Opportunity to influence mission‑critical M&A decisions using cutting‑edge AI and data solutions, • Competitive compensation and benefits package, • Long‑term career growth in a technically ambitious, client‑focused environment, • London‑based role with flexible working arrangements

GenAI Full Stack Engineer - Managing Consultant Salary: £80,000 - £88,500 pa + £8,000 Bonus plus benefits, perks and healthcare options Job Type: Permanent - Hybrid / 2 x days per week - Travel to client site Base Locations: London, Manchester, Newcastle, Glasgow Overview: We’re looking for a GenAI Full Stack Engineer who is passionate about solving real-world challenges through technology. You’ll work closely with senior stakeholders both internally and within key clients to create GenAI strategies that translate business issues into relevant technical solutions and competitive propositions that are scalable, secure, and sustainable. Your Role: • Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents., • Scale existing POCs to production-ready solutions for customer use., • Design and develop Full Stack applications for both GenAI and non-GenAI projects., • Support the development of infrastructure to enable robust end-to-end solutions., • Grow your skills by exploring and experimenting with emerging technologies, including GenAI. Your skills and experience: • Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent, • Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite., • GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript)., • LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama., • Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment., • Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose., • Infrastructure as Code (IaC): Exposure to tools like Terraform., • Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar., • CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins., • Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc., • NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred)., • SQL: Experience working with SQL databases like PostgreSQL., • Proficient in Git and version control platforms like GitHub, GitLab, etc. To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. If you’re ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you! Please send updated CV to

Duration until 31/12/2026 3 days in office in London Daily rate £600 inside or match your expectation Job Description Our client are looking for an experienced Azure Integration Developer with SRE mindset to design, develop, deploy, and operate robust integration solutions on Microsoft Azure. You will build and automate integrations using Functions, Service Bus, Event Grid, and other services, while configuring and managing Azure API Management (APIM) as the gateway for APIs. A strong emphasis is placed on Azure Service Bus for reliable messaging, decoupling systems, and handling high-volume asynchronous communication. You will apply SRE practices of automation, monitoring, error budgeting, and reliability engineering to reduce toil, ensure high availability, and support scalable, resilient integrations across cloud and on-premises environments. This hybrid dev/SRE role requires both coding expertise (C#/.NET, Scripting) and operational proficiency in Azure governance, security, and observability. Experience in Financial Services/Asset or Investment management Responsibilities and Requirements Integration Development & Automation • Design, develop, and maintain cloud-native integration solutions using Azure Integration Services, Azure Functions, Event Grid (event-driven pub/sub)., • Build scalable, reusable APIs and integration patterns (eg, request-response, pub/sub, saga, choreography) to connect applications, partners, and Legacy systems., • Implement automation for end-to-end processes: error handling, retries, dead-letter queues, notifications, and orchestration across services., • Configure and operate Azure API Management instances: create/import APIs, define policies (throttling, caching, transformation, authentication, rate limiting, JWT validation), backends, products, subscriptions, and developer portal customization., • Implement security best practices in APIM: OAuth/OpenID Connect, subscriptions/keys, IP filtering, and integration with Azure AD/Entra ID., • Use APIM policies to route traffic, send messages directly to Service Bus (via built-in send-service-bus-message policy), aggregate/transform responses, and monitor API usage/analytics., • Design and implement messaging architectures with Azure Service Bus (queues, topics/subscriptions, sessions, partitioning, duplicate detection, dead-lettering)., • Handle high-throughput, reliable asynchronous communication: decoupling microservices, order processing, event sourcing, and fan-out patterns., • Troubleshoot and optimize messaging: monitoring queues/topics, handling poison messages, scaling namespaces, and ensuring low-latency delivery., • General & Collaboration, • Collaborate with Cloud Solution Architects, Cloud Engineers, Data Ops, and business stakeholders to gather requirements and translate them into reliable integration solutions., • Troubleshoot complex issues across the stack; provide on-call support as needed., • Document architectures, runbooks, and best practices

• Central London location – 3-5 days on site p/week, • Up to £80k 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 Engineer, • 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.

We are looking for a Ad Operations Specialist to join our team, sitting at the intersection of media activation and ad technology. This is a role for a "Doer" - someone who thrives on the technical precision required to run high-stakes, global video campaigns. You will own the execution for brands that demand "Zero-Waste" efficiency, leveraging our proprietary AI tools to redefine what’s possible in programmatic video. 🎬 What You’ll Do 🛠️ • Technical Orchestration: Take full ownership of the campaign lifecycle, from advanced trafficking and tagging to real-time optimization., • Platform Management: Operate as a power-user within Enterprise DSPs (predominantly the Google stack and The Trade Desk), managing large-scale budgets across Video, CTV, and Mobile. 📱, • The "Technical Plumbing": Act as the resident expert for tracking and measurement. You’ll be responsible for pixel implementation, GTM triggers, and troubleshooting complex ad-serving discrepancies. 🔍, • Data-Led Insights: Move beyond basic reporting to provide deep-dive analysis, helping our clients understand the "why" behind the performance. 📊, • Collaborative Growth: Work alongside our product team to refine our AI-driven optimization features, ensuring they are built for the front lines of media buying. 🤖 What We’re Looking For ✨ • The Experience: You have 2.5+ years of hands-on experience in a programmatic or technical AdOps role. You aren't just managing the account; you are building the campaigns. 🏗️, • The Technical Core: You have a deep, professional familiarity with Ad Servers (such as CM360) and a mastery of DV360. You understand how to "wire" a campaign for success before the first penny is spent. 🔌, • Compliance Mindset: You have experience navigating high-regulation environments (e.g., Kids/Family, Finance, or Luxury Retail) where brand safety is paramount. 🛡️, • The Hybrid Edge: You can balance technical deep work with the ability to communicate your findings clearly to non-technical stakeholders. 🤝

Staff Software Engineer | Golang & TypeScript/React | London (Hybrid) | Agentic AI £120,000 + equity (flexible depending on experience) We’re working with a fast-paced, early-stage startup building an agentic AI product designed to automate complex workflows and decision-making in real-world environments. It’s still early, still messy in the right ways, and still a place where one strong engineer can have disproportionate impact! The product sits in the agentic AI space, building systems that don’t just assist but actively carry out tasks, make decisions, and improve over time. That means a heavy focus on reliability, orchestration, and real-world performance rather than demo-ware. The Role You’ll join at a level where your influence goes beyond delivery, helping shape both the technical foundations and the product itself. This is a high ownership setting where engineers are expected to think deeply about the problem, not only the implementation. • Take ownership of key parts of the platform, from concept through to delivery, • Drive architectural decisions across backend systems and services, • Partner closely with customers to inform product direction and feature development, • Operate with a high level of autonomy in a product-focused team, • Build scalable, performant systems used by modern B2B organisations What You’ll Be Doing • Working across backend and web layers using Golang, TypeScript, and AWS, • Designing and evolving system architecture to support growth and complexity, • Leading technical initiatives and setting direction for engineering work, • Building and maintaining RESTful APIs for both internal and external use, • Continuously improving backend systems and engineering practices, • Collaborating directly with users to ensure the product solves real problems The kind of person who does well here takes ownership seriously, stepping into ambiguity and helping define the right solution rather than waiting for it to be handed over. You’ll likely be product-minded, comfortable making decisions without layers of process, and motivated by building something meaningful alongside other strong engineers. Clear communication matters, as does the ability to influence without relying on hierarchy. This is a fast-moving environment where you’ll need to balance pace with quality and stay focused on outcomes. What They’re Looking For • Experience operating at Senior or Staff level with a strong IC background, • Track record of leading complex technical work or projects, • Strong backend experience, particularly with Golang and TypeScript, • Experience building and scaling systems in cloud environments (AWS or GCP), • Solid understanding of system design and scalable architecture, • Ability to mentor and influence other engineers, • Experience working in fast-paced, product-led environments SR2 and the client are committed to building inclusive, diverse teams and welcome applications from all backgrounds, even if you don’t tick every box. If you’re curious, drop me a note at and we can take it from there.

Hiring: Senior Product Manager – Fraud & Risk (RegTech) London (Hybrid) High-Growth Tech Environment We’re partnering with a fast-scaling, venture-backed RegTech / Fraud Technology company that is redefining how businesses manage transaction screening, fraud detection, and dynamic user risk across global markets. This is a high-impact, strategic Product role where you’ll own one of the company’s most critical and fastest-growing domains — shaping the future of risk intelligence and decisioning for enterprise clients. The Opportunity As Senior Product Manager, you’ll take full ownership of a product suite focused on transaction monitoring, fraud prevention, and real-time risk scoring — driving it from vision through to commercial success. You’ll work at the intersection of: • Fraud & financial crime prevention, • Identity & risk intelligence, • Data-driven decisioning platforms What You’ll Be Doing • Define and execute the product vision, strategy, and roadmap for a core risk domain, • Lead cross-functional delivery across Engineering, GTM, and Marketing, • Own commercial success — including pricing, packaging, and positioning, • Partner closely with Sales & Customer Success to drive adoption and expansion, • Use data, experimentation, and analytics to inform decisions and optimise performance, • Act as a product evangelist externally (clients, partners, industry events), • Collaborate across product domains (onboarding, authentication, fraud, platform) to deliver integrated solutions What We’re Looking For • 5–7+ years in Product Management (or equivalent) within B2B SaaS, fintech, or platform businesses, • Strong experience in fraud tech, RegTech, identity verification, or risk/screening solutions, • Proven ability to own products end-to-end — from ideation to scale, • Commercial mindset with experience in go-to-market and product positioning, • Confident communicator — able to influence senior stakeholders and external clients, • Data-driven, with a passion for solving complex risk and fraud challenges Bonus Experience • Background in AML screening, fraud orchestration, or transaction monitoring platforms, • Experience working with global teams and enterprise clients, • Exposure to Agile/Lean environments, • Previously worked in high-growth or scale-up environments Apply now for more information

Senior Transformation Lead Location: London - Hybrid Department: Transformation & Change - MENA - (The Middle East and North Africa) Type: Permanent Salary - Up to £140k Overview The Transformation Senior Lead – UK & MENA plays a pivotal role in turning strategic transformation ambitions into tangible, regional outcomes. The role partners with senior leaders across the UK and MENA regions to drive execution of strategic objectives, oversee regional delivery of multi‑country initiatives, and ensure progress toward long‑term organisational goals. This position blends strategic partnership with hands‑on leadership, capability uplift, and strong orchestration across functions. A key responsibility is ensuring transparency, accountability, and clarity of progress, including identifying when pivots are required to achieve success within defined timeframes. Key Responsibilities Transformation & Delivery Leadership • Lead end‑to‑end delivery of multiple transformation initiatives across UK & MENA, from inception through benefits realisation., • Translate regional vision into clear roadmaps, milestones, and measurable outcomes., • Align regional delivery with global strategic direction while adapting to local and regional needs., • Drive outcome tracking and transparent reporting on regional progress., • Build strong relationships with sponsors and stakeholders to shape delivery approaches and ensure successful execution. Change Management & Engagement • Apply structured change methodologies (e.g., Prosci, Agile) to ensure adoption and sustained outcomes., • Build stakeholder readiness and engagement plans across regions., • Lead impact assessments, readiness analysis, workshops, training, and communication activities. Stakeholder Partnership & Leadership Support • Act as a trusted advisor to regional executive teams, ensuring alignment between global and regional objectives., • Represent regional priorities in governance forums and act as a connector between global delivery teams and local execution., • Drive strong sponsorship and advocacy across regional leadership. Governance & Reporting • Maintain oversight across the regional transformation portfolio, ensuring effective risk, issue, and dependency management., • Provide clear, timely reporting on outcomes, risks, and progress to governance bodies., • Lead regional governance reviews, steering committees, and quarterly planning activities. Processes, Tools & Sustainability • Oversee development and adoption of delivery tools, templates, and best‑practice playbooks., • Drive improvements to ways of working and ensure transformation outcomes are sustainable and measurable post‑implementation. Skills & Experience Required • Demonstrated experience leading complex, cross‑functional transformation initiatives., • Practical application of structured change approaches (e.g., Prosci, ADKAR, APMG)., • Experience working with teams using Agile delivery practices., • Strong reporting experience for governance forums and senior leadership., • Experience leading onshore/offshore or vendor‑integrated teams (beneficial).

Location: London/Manchester/Edinburgh/Newcastle/Birmingham 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: As a team: The Data and AI revolution is changing everything. It’s everywhere – transforming how we work and play. Join Accenture and help transform leading organizations and communities around the world. Accenture Data and AI is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture’s Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture’s broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you’re looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. In our team you will: Shape Customer and Marketing Experiences w/ Generative AI solutions: • Be at the forefront of the industry — creating, owning, and making it a reality for clients looking to better serve their connected customers and operate always-on enterprises., • Build essential data platforms, products, and capabilities that empower clients and colleagues., • Set and implement the strategic vision for Applied Intelligence’s data ecosystem, including data science and engineering., • Assess generative AI proposals, ensuring alignment with client needs, evaluating feasibility, stack compatibility, and build-vs-buy decisions., • Drive and implement real-world solutions into production that drive measurable business value for our clients., • Work alongside global teams to collaborate and deliver the best solutions for clients. Grow Your Expertise and Career • Become an integral part of our Applied Intelligence team with the credibility, expertise, and insight clients depend on., • Develop your skills with our world-class training programmes., • Drive your career progression through our structured career development programs., • Align with our industry partners to develop your career and the solutions we deliver for our clients. Collaborate with Global Brands • Work with famous brands and household names — no worrying about how to explain what you do to your family again!, • Design reusable assets, solutions and develop best practices for current and future business problems., • Consult on complex analyses and advanced machine learning methods., • Communicate and provide guidance to senior client leadership and teams., • Shape AI Strategy and the delivery of LLM based solutions., • Operate across multiple industries and functions., • Develop others by bringing your unique knowledge and skillsets to the wider practice. In this role you will: Define and Deliver Customer-Centric Data Strategies • Translate business needs into robust data solutions and own the data strategy, architecture, and engineering excellence within Applied Intelligence., • Work closely with teams and senior architects to define strategies for AI solutions, ensuring alignment with client needs for impactful and effective implementations., • Shape AI strategy and oversee the delivery of LLM-based solutions that enhance customer and marketing outcomes. Lead Generative AI Innovation and Prototyping • Architect early-stage generative AI initiatives, directing proof-of-concept (PoC) and prototype development in collaboration with teams., • Act as a subject matter expert on generative AI, providing guidance to cross-functional teams including digital, platform, and governance stakeholders. Deploy and Scale AI Solutions • Execute deployment strategies and provide technical guidance on containerization, performance monitoring, and production deployment., • Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment., • Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value. Ensure Responsible and Ethical AI • Collaborate with cloud vendors to integrate Responsible AI principles and standards into LLM evaluations and applications, ensuring ethical and secure AI deployment., • Evaluate generative AI solutions across teams, identifying technical risks such as debt accumulation and overlapping initiatives. Promote Innovation and Best Practices • Advocate for the adoption of cutting-edge data technologies and methodologies, including AI-driven data processing, machine learning pipelines, and automated data integration., • Design reusable assets, solutions, and develop best practices for current and future business problems., • Consult on complex analyses and advanced machine learning methods to solve challenging business problems. Lead Across Industries and Teams • Operate across multiple industries and business functions to deliver AI-driven customer and marketing transformations., • Communicate insights and provide strategic guidance to senior client leadership and internal teams., • Mentor and develop others by sharing your unique expertise and skillsets with the wider Applied Intelligence practice.

CACI Network Services is a rapidly expanding specialist IT and Networks consultancy offering a wide variety of opportunities to work within challenging and exciting environments with our major clients in Global Media, Banking, Government, Telecoms & Utilities. As a Principal Network Architect, you will be a trusted advisor, technical authority, and strategic partner to our clients. You will lead the design of complex, secure, and scalable network architectures, translating business requirements into robust technical solutions. This role combines technical leadership, solution architecture, consultancy, and pre-sales engagement, requiring a strong ability to operate at both strategic and hands-on levels. You will work closely with customers, sales, delivery teams, engineering functions, and senior stakeholders—guiding engagements from initial concept through to detailed design, delivery oversight and operational readiness. Key Responsibilities Client Engagement & Consultancy • Operate as a trusted advisor for key clients and prospective customers (new logos)., • Engage with stakeholders from C-level executives to technical engineering teams, translating complex technical and business requirements into high‑level and detailed technical architectures., • Provide expert consultancy on network strategy, transformation roadmaps, best practices, and emerging technologies., • Act as the Design Authority across major programmes, owning the end‑to‑end technical vision from inception through transition to operations., • Architect network solutions across environments of varying scale—from small to mid‑sized infrastructures through to highly complex, large‑scale enterprise and multi‑site architectures—covering LAN/WAN, Wireless, routing, switching, SDN, and security technologies. Ensure all designs are scalable, resilient, secure, and aligned to customer requirements, technical strategy, and industry best practices, • Lead creation of high-quality architectural documentation, including HLA, HLD, LLD, standards, and design patterns., • Partner with the Sales team during pre‑sales engagements to define solutions, scope opportunities, and support commercial proposition development., • Lead technical responses for Tenders, IITs, and RFPs, including architecture design, technical writing, risk identification, and pricing model support., • Work alongside multi-disciplinary delivery teams, providing leadership, technical guidance, and assurance during implementation phases., • Support project managers and engineering teams to ensure solutions are delivered in line with architectural intent and to the highest quality., • Contribute to internal knowledge sharing, capability development, and practice maturity across the organisation. Across a broad and evolving technology landscape, including: • Enterprise LAN/WAN, SD-WAN, SDA and Wireless architectures, • Data Centre end to end solutions, • Routing & switching technologies, • Network Security, Firewalls, Zero Trust, SASE/SSE, • Software-defined networking solutions, • Cloud networking (AWS / Azure / GCP / OCI) – highly desirable, • Automation, orchestration & Infrastructure‑as‑Code - desirable What We’re Looking For Technical & Professional Expertise • Proven experience designing and delivering large-scale network and security solutions across enterprise or service provider environments., • Deep understanding of network architecture principles, high availability design, routing protocols, segmentation, security architectures, and cloud networking., • Experience acting as the final technical authority or Design Authority on complex engagements., • Strong background in pre‑sales, tender responses, and solution shaping., • Ability to clearly articulate complex technical concepts to non‑technical audiences and senior stakeholders. Consultancy & Communication • Excellent interpersonal, written, and verbal communication skills—capable of producing well-structured technical documentation and delivering impactful presentations., • Ability to engage with business stakeholders and end-users to diagnose issues, propose solutions, and provide strategic recommendations., • Comfortable representing the organisation independently, with a focus on delivering outstanding customer experiences. Ways of Working • Demonstrably collaborative approach when working with sales, engineering, and delivery functions., • Self-sufficient, proactive, and comfortable working in high-pressure environments., • Experience working within Agile / Scrum, Waterfall, and hybrid project delivery methodologies., • Strong commitment to continuous learning and staying ahead of industry advancements. Desirable Certifications & Skills (Certifications not required but advantageous) • CCNP / CCIE, JNCIP / JNCIE, or equivalent expert-level certifications, • Security vendor certifications from platforms such as Fortinet (NSE), Palo Alto (PCNSE/PCNSA), Cisco Security (CCNP Security/CCIE Security), and Check Point (CCSA/CCSE)., • Cloud certifications (AWS/Azure/GCP/OCI), • Strong understanding of structured delivery and operational frameworks (ITIL, PRINCE2, AgilePM, or similar project/service management certifications), • Experience with automation tools (Python, Ansible, Terraform, etc.) Expected behaviours We have a structured performance management framework which measures continual attainment against key personal behaviours. We believe this is an important part of our success and culture. Joining as a team member we expect you to act as a role model and exemplar against these behaviours which are to be: • Proactive, • Adaptable, • Flexible, • A team player, • Reliable Flexibility The key to our success is our teamwork and collaboration. We take a hybrid approach – working remotely and coming into the office depending on the business demand and collaboration required as part of the delivery process. Equal opportunities CACI is proud to be an equal employer. Embracing the diversity of our people, we are on a journey to build a truly inclusive work environment where no one is treated less favorably due to ethnic origin, age, gender, veteran status, religion or belief, sexual orientation, marital status, and disability or health condition, actively working to prevent discrimination. As a Disability Confident employer, we will: • Provide reasonable adjustments in the recruitment process where requested (contact a member of the recruitment team on 020 7602 6000 to discuss individual requirements further).

Role Title Production Support Palantir Data Engineer Business Unit / Segment Analytics / Data Management / Insurance Location London, United Kingdom Employment Type Permanent – immediate start preferred Role Overview We are looking for an experienced Palantir Data Engineer to provide production support for data pipelines, AI‑enabled workflows, and applications built on Palantir Foundry. This role is focused on ensuring the stability, availability, and performance of production data systems by proactively monitoring workflows, resolving incidents, and supporting operational excellence across the Foundry platform. You will work closely with data engineers, platform teams, and business stakeholders to troubleshoot issues, debug AI model outputs, and continuously improve system reliability in a live production environment. Key Responsibilities As part of this role, you will: • Provide production support for Palantir Foundry components including pipelines, Ontology, AIP Logics, API integrations, and applications, • Monitor end‑to‑end workflows, identify failures, and resolve issues within agreed service levels, • Troubleshoot data ingestion, extraction, transformation, and orchestration issues across complex pipelines, • Collaborate with cross‑functional teams to resolve production incidents and improve overall system stability, • Perform root cause analysis (RCA) and implement preventative and corrective measures, • Manage and maintain data quality checks to ensure data integrity across production systems, • Support deployments, release management, and ongoing environment maintenance Essential Skills • Strong hands‑on experience with Palantir Foundry, including Code Repositories, Workshop, AIP Logic, and Automate, • Proficiency in Python and PySpark or TypeScript, • Experience working with AWS services such as S3, Lambda, Glue, and related data services, • Solid understanding of data pipeline architectures, ETL processes, and production data workflows, • Proven experience working in production support or operational data engineering environments, • Familiarity with Generative AI–enabled workflows, API integrations, and orchestration patterns, • Additional experience with Foundry, AIP, and PySpark, • Knowledge of monitoring, alerting, and logging tools and frameworks, • Exposure to TypeScript/React for Workshop applications and workflow orchestration, • 5+ years of experience in Data Engineering, with demonstrable experience in production support roles, • 2+ years of hands‑on experience delivering and supporting solutions on Palantir Foundry

Oil Trading Head of Data Strategy & Architecture – Dubai Based • Business: Asset Backed Commodity Trading Firm of Oil & Gas Major, • Location: Dubai, UAE, • Assistance: Relocation allowance + visa sponsorship + assistance in setting up UAE bank account etc, • Experience: 10 years+ physical oil trading experience working in senior data architecture, data engineering, or data strategy roles, • Salary: AED 65,000 PCM (GBP 155,000 per annum) TAX FREE + bonus + benefits Overview: The asset backed commodity trading business of a large Oil & Gas Major is hiring for an Oil Trading Head of Data Strategy & Architecture to join their HQ in DIFC in Dubai. This is a brand newly created position, reporting into the General Manager of the trading business and will be in charge of defining, implementing, and governing the data vision for a leading physical oil trading organization. This role oversees the design and operation of a scalable, secure, high‑quality data ecosystem supporting front, middle, and back-office functions—including trading, risk, operations, finance, compliance, and HR. The ideal candidate combines deep knowledge of physical oil markets, strong experience with ERP & ETRM systems, and a proven ability to build modern data platforms, cloud architectures, data governance frameworks, and efficient workflows for technical and non‑technical users. Key Responsibilities: Data Strategy & Governance • Develop and own the company’s enterprise data strategy, ensuring alignment with commercial, risk, and IT objectives. Data Architecture & Platform Ownership • Lead the design, implementation, and ongoing evolution of the KPCT central data platform., • Own the overall data infrastructure, ensuring reliability, scalability, and performance. Cloud Strategy & Engineering Leadership • Drive the company’s cloud data strategy, selecting and optimizing cloud technologies On‑Desk Enablement & Coding Frameworks • Create and support controlled frameworks for on‑desk coding (Python, SQL, analytics tooling, etc….), providing guardrails without limiting innovation., • Partner with Trading, Risk, and Analytics teams to streamline creation of pricing tools, forecasting models, optimization engines, and dashboards. Cross‑Functional Support Across the Trading Lifecycle • Support front office (Trading, Analytics, Research), middle office (Risk, Control) and back office (Operations, Finance, Accounting) ETRM Integration & Data Flow Management • Act as the strategic owner of data flows into and out of ERP & ETRM systems (e.g., Endur, Allegro, Aspect, RightAngle etc). Leadership & Stakeholder Management • Lead implementation by network of Data/Digital representatives within each business department to accept and assimilate new technologies., • Serve as the bridge between business teams and technology teams, translating commercial needs into scalable solutions., • Communicate data strategy, KPIs, risks, and progress clearly to executive leadership. Required Experience & Qualifications • Strong understanding of physical oil trading, supply chains, market data, pricing, and operations experience gained working for a major global oil trading business (ideally oil major)., • It is essential that you have worked for a major global oil trading business, in a major global oil trading hub (London, Houston, Geneva, Singapore etc), instead of for a smaller remote office, • 10+ years in data architecture, data engineering, or data strategy roles., • Hands‑on familiarity with major ETRM systems (e.g., Endur, Allegro, Aspect, RightAngle)., • Practical coding knowledge: Python, SQL, version control (Git), and workflow orchestration tools., • Experience implementing and scaling cloud‑native data platforms (Azure/AWS/GCP)., • Strong knowledge of streaming, APIs, data modeling, and integration frameworks. Leadership & Strategic Capabilities • Proven ability to define data strategy at enterprise scale., • Experience managing and mentoring diverse technical teams., • Excellent stakeholder management across Trading, Risk, Finance, IT, and senior leadership., • Strong architectural thinking and ability to design future‑proof systems For more information, please e-mail through an up-to-date copy of your CV to Ben at

Databricks Data Engineer (Contract) | London (Hybrid) | £500–£650 per day (Inside IR35) Peaple Talent are working with a data consultancy who partner with a range of enterprise clients to deliver modern cloud data platforms. They’re currently looking for a Databricks Data Engineer to support multiple client engagements across large-scale data transformation programmes. 💻 The Role This is a hands-on Databricks Data Engineering contract where you’ll be working across different client environments, helping design, build and optimise scalable data platforms. You’ll be focused on delivering robust data pipelines and analytics-ready datasets using Databricks, working across cloud environments such as Amazon Web Services or Microsoft Azure depending on the client. The work will range from greenfield builds through to modernisation of existing data estates. 🔧 Key Responsibilities • Design and build scalable data pipelines using Databricks, • Develop and optimise ETL/ELT workflows using Spark (PySpark/SQL), • Support migration and modernisation of legacy data platforms into Databricks, • Improve performance, reliability and cost efficiency across data workloads, • Work closely with Data Engineers, Analysts and Architects across client teams, • Implement data quality, governance and best practices across delivery ✅ What We’re Looking For • Strong hands-on experience with Databricks in a Data Engineering capacity, • Solid experience with Spark (PySpark / Spark SQL), • Proven track record building and optimising data pipelines (ETL/ELT), • Experience working within cloud environments (AWS or Azure), • Strong SQL skills and experience working with large-scale datasets, • Familiarity with orchestration tools such as Airflow or similar, • Good understanding of data modelling and distributed data processing concepts, • Comfortable working across multiple client environments and stakeholders 🎁 What’s on Offer • Day Rate: £500–£650 (Outside IR35), • Location: London, • Remote working: 3 days a week onsite, • Initial 6-month contract (strong likelihood of extension), • Exposure to multiple enterprise data transformation programmes, • Opportunity to work across a variety of Databricks implementations within a consultancy environment Databricks Data Engineer (Contract) | London (Hybrid) | £500–£650 per day (Inside IR35)

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 An exceptional Digital Transformation Consultant, advising and guiding prospects and clients on the adoption of Dynamics 365, Microsoft CoPilot, Power Platform and AI‑driven productivity, automation, and compliance solutions. You will play a key role in shaping modern workplace, information governance, security, compliance, and intelligent automation strategies, helping organisations realise value from secure, well‑governed, AI‑enabled Microsoft ecosystems. You will work closely with senior stakeholders to design and deliver transformation initiatives across data protection, information lifecycle management, compliance, collaboration, Copilot readiness, and intelligent process automation, while ensuring solutions are scalable, secure, and aligned to measurable business outcomes. Essential Expertise • 8+ years’ experience in consulting or technical advisory roles, with strong depth in Microsoft 365 and the modern workplace, • Strong understanding of Microsoft 365 security, governance, and tenant architecture, • Experience enabling and governing Microsoft 365 Copilot, including data readiness and risk mitigation, • Strong understanding of intelligent automation concepts, including Power Automate for workflow orchestration and AI Builder for embedding AI capabilities into business processes within governed environments, • Ability to translate compliance, risk, security, and automation requirements into business‑focused transformation roadmaps, • Exceptional stakeholder engagement skills, including C‑suite and senior risk/compliance leaders, • Proven ability to articulate business value, risk reduction, and ROI for Microsoft 365, Copilot, and automation initiatives Desirable Expertise • Experience with Power Platform, including Power Automate and AI Builder, alongside Dynamics 365, within a governed enterprise environment, • Ability to advise on automation strategy, guardrails, and value realisation, rather than hands‑on build only, • Knowledge of Microsoft Defender, Entra ID, and Zero Trust principles, • Background working with regulated industries (e.g. financial services, public sector, healthcare), • Microsoft certifications across Microsoft 365, Security, Compliance, or Power Platform, • Prior experience in partner or strategic advisory roles Responsibilities Microsoft 365 Strategy & Governance • Design Microsoft 365‑led transformation roadmaps aligned to security, compliance, productivity, and AI adoption goals, • Conduct data, security, and Copilot readiness assessments, identifying risk and optimisation opportunities, • Define governance models that balance innovation, intelligent automation, and regulatory compliance Solution Design & Advisory • Architect secure, scalable solutions across Microsoft 365, Copilot, and Power Platform, • Advise clients on information protection, data lifecycle management, and compliance operating models, • Support AI and Copilot adoption by ensuring data is structured, protected, and appropriately governed Intelligent Automation & AI Enablement • Advise clients on the strategic use of Power Automate to optimise and orchestrate secure, compliant business processes across Microsoft 365 and Dynamics 365, • Guide adoption of AI Builder to embed AI‑driven capabilities such as document processing, prediction, and classification into low‑code solutions, • Ensure automation and AI solutions align with data governance, compliance, and risk frameworks, • Support organisations in moving from tactical automation to scalable, enterprise‑wide intelligent automation programmes Client Engagement & Delivery • Lead executive‑level workshops focused on modern workplace transformation, intelligent automation, and risk reduction, • Deliver clear, compelling recommendations that resonate with IT, security, compliance, and business leaders, • Build trusted, long‑term client relationships as a strategic Microsoft advisor Thought Leadership • Contribute to Ingentive’s thought leadership across Microsoft 365, Power Platform (Power Automate & AI Builder), and AI governance, • Stay current with Microsoft’s evolving security, Copilot, and automation roadmap, • Continuously refine methodologies and best practices Teammates’ Benefits • Bonus Schemes, • Life Assurance, • Private Medical Cover, • Group Income Protection, • Great Company Pension, • Enhanced Sick Pay, • Enhanced Family Leave Pay, • Volunteering Leave, • Teammate Recognition Scheme, • Loyalty Award Scheme, • 24/7 access to EAP including Wisdom AI app, • Access to Bright Exchange online marketplace, • Remote working with the option to work 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 and will provide reasonable adjustments during the recruitment process where possible.

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. For more information on how we process your personal data, please refer to HCLTech’ s Candidate Data Privacy Notice. JOB DESCRIPTION- You will work on the migration of the D2C platform services from existing infrastructure to new hardware, ensuring minimal disruption to live trading operations. KEY RESPONSIBILITIES • Document the current D2C service landscape, identifying all services and their existing host dependencies • Collaborate with the infrastructure team to specify, size, and procure replacement hosts, • Collaborate with the infrastructure team to provision and configure new hosts, ensuring all required runtimes, software, networking, and security requirements are met, • Plan and execute the end-to-end migration of D2C services to new infrastructure, including rollback planning, environment validation, and post-migration sign-off SKILLS & EXPERIENCE • Solid Core Java Skills - Good understanding of Java fundamentals including object-oriented programming, collections, exception handling, and concurrency. • Integration, API Development and Databases - Experience building and deploying event-driven and RESTful APIs, with foundational knowledge of SQL and relational database design, • Infrastructure and DevOps - Hands-on experience with Linux-based server environments, scripting (Bash/Python) and provisioning/configuration tooling (e.g. Ansible or equivalent). Familiarity with CI/CD pipelines (e.g. TeamCity or equivalent) and build tools such as Maven or Gradle, • Containerisation and Orchestration - Practical experience with Docker and Kubernetes, including deploying and managing containerised Java services, • Monitoring - Experience with monitoring and alerting tooling such as Geneos, Grafana and Prometheus or equivalent, with an appreciation of what good operational visibility looks like for a trading platform.

🚀 AI Engineer – Agentic Systems / Applied AI 🚀 ✨ Backed Series A FinTech | Proven, repeat founders ✨ 📍 London, in office full time 💸 £100k – £200k base (level dependent) 💲 ~$160k equity vested over 4 years 💗 Extras: onsite chef, barber, breakfast, gym membership I’m partnering with a high-growth, AI-native fintech that has recently closed a significant Series A and is now building out a top-tier AI engineering function. They’re focused on developing production-ready agentic AI systems for the investment and financial services markets, designed to handle complex, high-impact workflows for enterprise customers. You’ll be working closely with founders and a small, high-calibre engineering team. This is the kind of environment where: 🔥 Ownership comes early ⚡ Decisions happen quickly 🧠 Strong engineers thrive What you’ll be doing: You’ll take responsibility for key parts of the AI stack, including: • Architecting and deploying multi-agent systems, • Building scalable RAG pipelines and retrieval systems, • Creating evaluation frameworks (performance, safety, reliability), • Shipping AI-driven products used in real-world enterprise settings, • Alongside this, you’ll stay close to the engineering fundamentals — Python backend (FastAPI/Django), infrastructure, and production deployment. Why people join environments like this: ✅ High talent bar across the team ✅ Direct access to founders and decision-makers ✅ Pace and exposure that accelerates your trajectory (12 months here won’t feel like a typical year) Background requred: – Degree in a relevant discipline (Maths, Engineering, Computer Science, etc.) – ~4+ years in AI/ML engineering, or strong software engineering with AI exposure – Experience taking LLM or agent-based systems into production – Strong understanding of system design: orchestration, memory, deployment, monitoring – Exposure to tools such as LangGraph, ReAct, CoT — or building similar systems from scratch – Familiar with PyTorch / TensorFlow, RAG architectures, vector databases, modern cloud infra – Experience in startup or consulting environments is a plus – Comfortable working autonomously in fast-moving, sometimes ambiguous settings With fresh funding and ambitious growth plans, this is a genuine scaling moment — and a chance to step into something high-impact early. #AgenticAI #AIEngineering #AIJobs

Location: Primarily remote, with occasional onsite work in London Contract Type: 12-Month Fixed Term Contract (FTC), with a view to go permanent Employer: Amber Labs – Digital Consultancy Clearance: Active SC clearance required Start Date: Immediate About Amber Labs Amber Labs is a forward-thinking digital consultancy delivering innovative cloud, data, and DevOps solutions across the UK public sector. We specialise in helping organisations achieve digital transformation at pace while maintaining the highest security and governance standards. We are seeking DevOps Engineers with deep core cloud expertise to join a critical government programme. This is an excellent opportunity to work on highly impactful projects while enjoying a flexible, collaborative environment. Role Overview As a DevOps Engineer, you will play a key role in designing, building, and optimising cloud-based infrastructure and automation solutions. You will work within an Agile team, focusing on scalable, secure, and resilient cloud architectures that support modern digital services. Key Responsibilities • Design, implement, and maintain AWS-based infrastructure using Infrastructure as Code (Terraform), • Develop and maintain CI/CD pipelines to enable continuous integration and delivery, • Automate system deployments, configuration, and monitoring for reliability and performance, • Manage and optimise containerised applications using Docker and Kubernetes, • Collaborate with developers, security engineers, and architects to deliver high-quality solutions, • For Senior Engineers: Provide technical leadership, mentor team members, and contribute to solution design decisions. Skills & Experience Required • Active SC clearance (applications without clearance cannot be considered), • Proven experience with AWS core services (EC2, S3, VPC, IAM, Lambda, ECS/EKS), • Expertise in Infrastructure as Code (Terraform, CloudFormation), • Strong knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI), • Experience with containerisation and orchestration (Docker, Kubernetes), • Scripting ability with Python or Bash, • Version control experience (Git) Apply Now and help shape the future of UK digital services with Amber Labs. Seniority Level • Mid-Senior level. Industry • IT Services and IT Consulting. Employment Type • Full-time. Job Functions • Information Technology, • Consulting Skills • Cloud Computing, • Amazon Web Services (AWS), • Kubernetes, • Infrastructure, • Amazon EC2, • Terraform

Title: Executive Assistant Location: London, UK (hybrid) The Team This role will be supporting a small group of senior members, the Executive Assistant (EA) plays a pivotal role in enabling the effectiveness of the Client Strategy and Legal & Operations teams. This position ensures the smooth orchestration of daily operations, manages high-level administrative and strategic support, and facilitates strong communication across key stakeholders. The EA serves as a trusted gatekeeper, communicator, and coordination point for CCO priorities. ⸻ Responsibilities • Serve as the primary administrative and operational support to 3 MD's, including calendar management, travel planning, meeting coordination, and expense processing., • Coordinate materials for high-level meetings, including the ELT touchpoints, board presentations, and internal town halls., • Maintain confidentiality while handling sensitive information and ensure leaders are well-prepared for key engagements., • Assist with internal communications by drafting announcements, memos, and meeting summaries aligned to priorities and partner with internal communications for reviews and sign offs., • Foster an environment of collaboration and high performance, acting as a cultural ambassador for the the Chief Client Office., • On an ad-hoc basis, support broader Chief Client Office initiatives, in coordination and partnership with the EA team. Required Skills, Experience, and Knowledge • Education: Bachelor’s degree or equivalent experience in Business, Communications, Marketing, or a related field preferred, • Experience: 5+ years of experience in executive support roles, preferably within large, matrixed global organizations., • Exceptional organizational skills and attention to detail., • Ability to navigate complexity and prioritize effectively under pressure., • Strong written and verbal communication skills, with the ability to create clear, executive-ready deliverables., • High emotional intelligence, integrity, and discretion., • Comfortable using Microsoft Office Suite, Google Workspace, and collaboration tools like Slack, Asana, or Monday.com., • Preferred: Familiarity with marketing operations or corporate communications.

Role Overview We are seeking a client-facing Pre-Sales Solution Architect – AI & Intelligent Automation to drive AI-led solutioning across pursuits, RFPs, strategic pitches, and existing DPO accounts. This role sits at the intersection of sales, architecture, and business consulting. The primary objective is to increase win rates, shape large AI-led deals, and build a qualified automation pipeline across multiple business value chains. The ideal candidate combines strong AI and automation expertise with commercial acumen, storytelling ability, and executive engagement skills. Key Responsibilities 1. AI Opportunity Identification Across Value Chains • Identify automation and AI insertion points across various vusiness functions (Finance & Accounting, Supply Chain, Customer Operations, Procurement etc) and Industry-specific value streams, • Assess feasibility and ROI of AI-led transformation opportunities, • Define use cases involving LLMs, agentic workflows, RPA, ML models, and orchestration platforms, • Create reusable AI solution patterns across value chains 2. RFP & Proactive Deal Support • Lead AI solutioning for:, • RFP responses, • Client proposals, • Proactive pitches and strategic account mining, • Develop end-to-end solution approaches including:, • Architecture diagrams, • Operating model design, • Transition roadmap, • Risk and governance considerations, • Partner with sales and account teams to strengthen competitive positioning 3. Architecture & Solution Design • Design scalable AI-enabled automation architectures integrating:, • Hyperscaler AI services (Azure AI, AWS, GCP, OpenAI, Anthropic), • Enterprise platforms (SAP, Oracle, ServiceNow, CRM systems), • Data platforms and middleware, • Define:, • Agent-based automation models, • RAG architectures, • Process orchestration frameworks, • Human-in-the-loop governance models, • Ensure security, compliance, and responsible AI principles are embedded 4. Business Case Development • Build compelling financial and operational business cases including:, • Productivity impact, • Cost savings, • Revenue enhancement, • ROI and payback analysis, • Quantify transformation value across value chains, • Support deal pricing assumptions and margin analysis, • Develop executive-ready summaries for client decision-makers 5. Executive Presentations & Collateral Development • Develop high-impact PowerPoint presentations for:, • CXO conversations, • Board-level discussions, • AI governance committees, • Analyst briefings, • Translate technical AI concepts into clear business narratives, • Create reusable pitch decks and solution accelerators, • Maintain visual clarity and structured storytelling in all materials 6. Analyst & Market Collaboration • Work closely with industry analysts to:, • Articulate DPO’s AI differentiation, • Support analyst briefings, • Contribute to market positioning and reports, • Provide inputs for thought leadership, whitepapers, and POV documents, • Align AI offerings with industry trends and competitive benchmarks 7. Account Expansion & Existing Customer Engagement • Engage with existing DPO customers to identify AI-led transformation opportunities, • Conduct automation discovery workshops, • Develop AI transformation roadmaps for clients, • Support cross-sell and up-sell initiatives Required Qualifications • 10–15 years of experience in Solution Architecture, Consulting, or Digital Transformation, • Strong understanding of AI/ML, LLM-based architectures, and intelligent automation, • Experience supporting RFPs and complex deal pursuits, • Experience across multiple enterprise value chains, • Strong financial modeling and business case development skills, • Excellent PowerPoint storytelling and executive communication capability, • Familiarity with hyperscaler AI ecosystems, • Exposure to enterprise platforms (SAP, Oracle, ServiceNow), • Experience in agentic workflow design, • Consulting background preferred, • Experience working in global delivery models Behavioral Competencies • Strong strategic thinking and structured problem-solving, • High executive presence, • Ability to operate in ambiguous environments, • Strong influencing and stakeholder management skills, • Commercial mindset with outcome orientation, • Strong collaboration across sales, product, and engineering teams

Senior Full Stack Engineer (Java / Python) Contract Length - 6 months Location - London (2 days onsite) We are hiring a Senior Full Stack Engineer for a high-priority, ASAP-start contract role with a leading UK tech platform. This is a hands-on senior engineering position within an established team building scalable, modern full stack systems. The Role You’ll be a senior individual contributor working across backend and frontend systems, helping shape technical direction and confidently engaging with stakeholders to influence engineering decisions. The core stack is Java-first, with increasing importance on Python-based services (including orchestration, agents, and modern AI/LLM integrations), alongside a strong React frontend. This is not a leadership/management role, but you must be able to operate at senior level, challenge decisions, and drive engineering quality. What you’ll bring We’re looking for a strong Full Stack Engineer with recent commercial experience across: • Java + Spring Boot (core requirement, must be recent – ideally last 12–24 months), • Python (recent hands-on experience essential – services, orchestration, or AI/LLM work highly valued), • React (strong frontend experience is critical), • Cloud platforms (AWS preferred; Azure/GCP also fine), • Containers (Docker, Kubernetes – Kubernetes preferred), • Data systems (Postgres / NoSQL; bonus for vector DBs, embeddings, semantic search), • Agile delivery environments, • Engineering best practices (TDD, SOLID, XP principles) Other Key Skills • Strong communication skills and stakeholder management, • Ability to challenge technical decisions constructively, • Senior-level ownership and accountability (IC role, not managerial), • Reliable, collaborative, and comfortable in fast-moving environments ⚠️ Important notes • Must have recent Java AND Python experience (last 1–2 years ideal), • Frontend (React) experience is essential – full stack capability required, • Candidates must be comfortable working onsite in London twice per week (Soho) Please note - candidates must have full right to work in the UK. This is a fast moving requirement, and we are prioritising candidates who are immediately available or on short notice.

Role: Senior AI Product Manager Salary: Up to £140,000 Industry: Enterprise AI Location: Hybrid The role: This is a hands‑on Senior PM role focused on designing and shipping AI systems inside complex enterprise environments. You’ll be shaping and building real AI systems at huge scale. What you will be doing: • Designing and delivering early versions of AI systems, including LLM‑based workflows, agentic systems, orchestration logic and evaluation loops, • Working directly with engineers and other delivery specialists as part of a small execution pod responsible for shipping production systems What we are looking for: • Experience build AI‑powered or data‑driven systems from 0-1, discovery to launch., • Comfort operating in ambiguity, with a bias toward building and iterating quickly rather than process led., • Experience building AI products, at enterprise scale. If this sounds like a good fit, please apply by sending your CV to .

We’re working with a leading player in the insurance services space, who are looking to bring on board an experienced Data Modeller to help shape and deliver their enterprise data strategy. This role sits at the intersection of data engineering and business architecture - perfect for someone who thrives on designing scalable, integrated data ecosystems that power analytics and digital transformation. You’ll be joining a forward-thinking environment where your expertise in data modelling, Azure, and the London Market / Specialty Insurance domain will be key to driving success. Key Responsibilities: • Lead the design and implementation of scalable data architectures supporting analytics and digital initiatives, • Develop and maintain logical and physical data models to support business needs., • Define and govern data architecture standards across Azure Data Factory and Databricks, • Oversee data integration frameworks and manage the Information Management architecture, • Shape strategic data roadmaps aligned with the company’s long-term goals, • Review and ensure consistency of high-level designs within enterprise data architecture, • Implement standards, patterns, and best practices for reliable data solutions Key Requirements: • 8+ years’ experience designing and implementing enterprise data architectures in P&C insurance, • Strong hands-on experience in data modelling, including using Erwin, • Strong background in London Market / Specialty Insurance data domains, • Proficient in Azure Data Factory and Databricks, including pipeline design and orchestration, • Solid understanding of data warehousing, ETL/ELT pipelines, and integration practices, • Knowledge of SDLC methodologies (Agile, DevOps, etc.), • Confident communicator with the ability to engage technical and business stakeholders, • Relevant certifications in Azure, Databricks, or Data Architecture a strong plus, • Must live within daily access of Central London for 2/3 hybrid days, • Must be available within 6 weeks

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. It is the first Indian company in the world to have been awarded the Sustainable Markets Initiative’s Terra Carta Seal, in recognition of actively leading the charge to create a climate and nature-positive future. Job Details: Title: Agentic AI CoE Lead Work Location: London, UK Work Type: Hybrid Role Summary / Job Purpose Establish and lead the Agentic AI Centre of Excellence for a strategic telecom client, driving enterprise‑scale Agentic AI solutions using Google Gemini Enterprise as the core GenAI platform. The role focuses on defining strategy, architecture and delivery of Gemini‑driven agentic AI use cases across business and operations domains. Key Responsibilities • Establish and lead the Agentic AI Centre of excellence using Google Gemini Enterprise, • Promote Gemini Enterprise AI capabilities via briefings, demos and campaigns, • Define end‑to‑end Agentic AI frameworks, standards and delivery approach, • Liaise between Customer leadership, Tech Mahindra and Google Cloud, • Define governance, security and responsible AI guardrails for agent‑based systems, • Report progress, identify and carry out risk mitigation, • Lead technical discussions, solution reviews and design workshops, • CoE strategy and plan aligned with customer vision, • Internal communications and training for Gemini tools and AI Champions, • Gemini‑first Agentic AI reference architecture & design standards, • Consistent and secure adoption of Agentic AI across enterprise function – provide regular cadence reports and recommendations, • Drive governance and risk management Required Skills & Competencies Technical Skills • Strong knowledge of enterprise AI governance, security, compliance and Google security features., • Strong hands‑on and architectural exposure to Google Gemini Enterprise – Google Cloud, Vertex AI and agentic AI solutions, • GenAI solution design using Gemini APIs and enterprise capabilities, • Agentic AI concepts including orchestration, planning and tool‑driven agents, • Enterprise‑scale AI programme delivery, • Exposure to telecom or large enterprise environments, • Understanding of operational and business AI use cases, • Able to present complex AI concepts, evangelise Gemini Enterprise benefits, • Manage multiple workstreams, milestones, risks and deliverables, • Coach CoE team and AI Champions, foster collaboration between teams, • Strategic problem solving and decision making Experience • 12+ years of overall experience in AI, digital, or platform roles, • Proven experience leading enterprise AI or GenAI initiatives, • Prior experience setting up or running AI / GenAI Centres of Excellence, • GCP certifications (preferred) Tools & Technologies • Google Gemini Enterprise, • GCP ecosystem (Vertex AI, APIs – preferred), • Python and AI orchestration frameworks, • Enterprise integration platforms How To Apply: It's easy to apply online; you just need a copy of your up-to-date CV and to follow the step-by step process. Don't worry if you need to make changes - you'll have the opportunity to review and edit your work on the final page, or you can also share resume directly to provided email address. We look forward to receiving your application! 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.

Senior AI Engineer | £700/day Outside IR35 | 6-Month Contract Industry: Technology / Capital Markets Location: London - 3 days in office Job Type: Contract Our client, a forward-thinking technology organisation, is seeking a Senior AI Engineer to join a team building production-grade AI systems powered by large language models (LLMs). You will work closely with software engineers and product stakeholders to design, develop, and deploy scalable AI applications, focusing on multi-agent orchestration, intelligent tool integration, and reliable production workflows. Responsibilities • Design and implement LLM-powered AI systems, including RAG pipelines, vector/knowledge databases, and agentic frameworks., • Build and maintain production-grade AI applications with clean code, APIs, data pipelines, and robust error handling., • Develop and maintain evaluation frameworks to measure and monitor system performance, accuracy, and reliability., • Implement feedback loops and observability to continuously improve system performance., • Craft and optimise prompts across different model providers for latency, cost, and output quality., • Collaborate with developers, stakeholders, and cross-functional teams to deliver scalable, reliable AI solutions., • Provide day-to-day support and troubleshooting for deployed AI systems. Required Skills • Hands-on experience with LLM APIs and deep understanding of capabilities, limitations, and failure modes., • Practical experience implementing RAG architectures, vector/graph databases, knowledge graphs, and prompt engineering., • Experience building multi-step LLM workflows and agentic systems using frameworks (e.g., LangChain, LangGraph, Claude Agents SDK) or custom solutions., • Strong Python (or other modern programming language) skills with production API/service development experience., • Knowledge of cloud platforms (AWS, GCP, Azure), distributed systems, and CI/CD pipelines., • Strong data manipulation skills (SQL, pandas) and experience evaluating AI system outputs., • Ability to work with ambiguity and optimise non-deterministic systems while balancing latency, cost, and quality trade-offs. Desirable Skills • Experience with AI-assisted coding tools (Claude Code, OpenAI Codex, GitHub Copilot)., • Knowledge of fine-tuning LLMs for domain-specific applications., • Familiarity with real-time streaming, multimodal models, or search technologies (e.g., Elasticsearch)., • Experience with model observability tools (LangSmith, Weights & Biases) and cost optimisation strategies., • Exposure to specialised industries (finance, healthcare, energy, legal, retail) and responsible AI practices., • Experience with tool-calling agents, handoffs, and guardrails.

Data Lead | Up to £120,000 | London (Hybrid) You’ll play a key role in evolving a modern data stack into a scalable, business-aligned fundction within a fast-growing, mission-driven platform with strong foundations and clear product–market fit. You’ll operate as a hands-on data leader, owning strategy while still contributing technically across modelling, orchestration, ingestion and BI. This is a critical hire, you will also explore and shape how AI sits within Data, helping users interpret data more responsibly, not just faster. The environment is collaborative, pragmatic and ownership-driven, with a clear path toward Data Director as the function formalises. Stack: BigQuery, dbt Core, Airflow, Airbyte, Python, LLMs What do you need? • Strong commercial experience in data engineering/analytics engineering roles, • Proven experience leading a small data team, • Deep data modelling expertise, • Hands-on experience with BigQuery, dbt and Airflow, • Exposure to AI/LLM tooling (commercial or personal) and an interest in how it can be applied to data interpretation What do you get? • Flexible working hours, • Hybrid working, • Healthcare, • Enhanced Maternity/Paternity, • Flexible Bens Scheme, • Team Lunches, • Team Socials, • Professional Development Please apply to know more!

Analytics Engineer London Up to £60,000 This is a great opportunity to become the key Analytics Engineer within an early-stage data function, playing a defining role in how the organisation builds its lakehouse, models its core data, and shapes best practice for years to come. If you enjoy ownership, influence, and hands-on technical work across Databricks, data modelling, and pipeline development, this role offers genuine impact and long-term career growth. The Company They are investing heavily in their data capabilities and are building out a modern data stack to support smarter decision making across the business. The data team is still in its early stages, giving you the chance to help shape standards, strengthen their Databricks environment, and unlock more value from their growing data estate. Collaboration is central to how they work, with strong relationships across Technology, Finance, Operations and other key teams. The Role • Develop and maintain data pipelines across Databricks, Azure Data Factory and API-based integrations., • Work across transformation layers in Databricks, ensuring clean, well-modelled datasets., • Build and extend the Power BI data model, enabling reliable reporting and analytics., • Partner with stakeholders to understand requirements, validate assumptions and shape how data should be modelled., • Apply strong data modelling practices, including star schemas and Kimball methodologies., • Support the management of the lakehouse, including incremental loads, snapshotting and data quality., • Contribute to the relationship with Databricks to help expand adoption of its features., • Organise and maintain the existing platform, ensuring stability and clarity across data sources. Your Skills and Experience • Strong commercial experience with SQL and Python., • Hands-on experience working with Databricks, or a strong desire to deepen expertise in it., • Expert understanding of data modelling principles and semantic layer concepts., • Experience working with Azure Data Factory or similar orchestration tools., • Ability to translate business needs into logical, scalable data models., • Comfortable working across multiple data sources and handling pipeline design., • Experience with Power BI, including semantic models or Tabular Editor., • Curious, collaborative mindset with the ability to push back constructively and guide stakeholders.

Customer Analytics Consultant Level: Specialist (L9) Location: London, Manchester, Edinburgh 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: The Data & AI team is: The Data and AI revolution is changing everything. It’s everywhere – transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture’s Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture’s broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you’re looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. In the Data & AI team you will: · Be at the forefront of the industry, you’ll create, own and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises. · Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on. · Be working with famous brands and household names. · Develop your skills with our world class training programs. · Drive and implement real world solutions into production that drive business value to our clients. · Work alongside global teams to collaborate and deliver the best solutions for our clients. · Drive your career progression via our structured career development programs. · Align with our industry partners to develop your career and the solutions we deliver for our clients. Responsibilities: • Set strategic vision for analytics in-line with broader client landscapes, e.g. marketing, technology, data etc., • Establish our client’s customer modelling strategy., • Carry out customer analytics and modelling in line with best practice., • Collaborate with Marketing teams to integrate analytics with marketing programs and customer experiences., • Data Collection and Preparation: Gathering and cleaning data from various sources to ensure it is ready for analysis. This involves working with large datasets and ensuring data quality and consistency., • Stay updated on industry trends and best practices in customer analytics to drive innovation. What’s in it for you: At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes up to 30 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for. 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. About Accenture Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialized capabilities across more than 40 industries — powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. With 509,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law.

Currently, Nelly Works is proud to support one of the world's leading digital research companies. Our partner is at the forefront of data-driven insights, utilizing cutting-edge cloud infrastructure and AI to redefine how global brands understand consumer behavior and market trends. To support their massive digital evolution, we are sourcing top-tier talent to lead their most critical infrastructure initiatives. We are seeking a Technical Program Manager (TPM) to act as the primary technical interface between our client and a dedicated Google Cloud Partner consultancy. This is a high-impact, strategic role focused on governance, orchestration, and technical oversight. You will not be tasked with hands-on execution; instead, you will be the internal "North Star" ensuring the migration partner’s plan is sound, their assumptions are validated, and internal dependencies are perfectly aligned for a seamless Azure-to-GCP transition. Engagement • Contract or permanent considered, • UK-based preferred, with flexible remote options across the UK and selected EU locations Why this role • Join a greenfield transformation where your decisions will matter, • Influence architecture, not just execution, • Work on a visible, multi-year cloud modernization program Location London preferred, with one day per week in the London office ideal. Fully remote will be considered for the right candidate. Core Responsibilities 1. Migration Oversight & Technical Governance • Partner Validation: Facilitate deep-dive reviews of the partner’s technical designs to ensure alignment with internal security, compliance, and architectural standards., • Milestone Accountability: Track progress against the migration roadmap, ensuring deliverables meet the definition of "Done.", • Quality Gatekeeping: Act as the final internal sign-off for migration "waves," ensuring all technical debt and performance benchmarks are addressed. 2. Discovery & Dependency Orchestration • Internal Roadmap Alignment: Lead discovery efforts to provide the Partner with accurate dependency maps and service tiers., • Tool Expertise: Hands-on experience with discovery tools such as StratoZone, CloudPhysics, or Azure Migrate is strongly preferred., • Dependency Unblocking: Proactively resolve internal bottlenecks (e.g., firewall changes, IAM approvals) that could stall progress., • Assumption Testing: Critically evaluate migration assumptions—including cutover windows and rollback procedures—to ensure business continuity. 3. Stakeholder & Program Leadership • Technical Translation: Translate complex partner updates into clear, risk-based reports for IT leadership and business stakeholders., • Risk Management: Maintain a high-level technical risk register, focusing on cross-team dependencies and platform-specific constraints between Azure and GCP. Experience & Qualifications • Migration Expertise: 7+ years in Cloud Program Management, specifically overseeing large-scale Azure-to-GCP migrations involving VMs, Kubernetes, and petabytes of data., • Cloud Fluency: Strong conceptual knowledge of both platforms (e.g., mapping Azure VNet/ExpressRoute to GCP VPC/Interconnect)., • Vendor Management: Proven ability to manage Global System Integrators (GSIs) or specialized cloud partners while maintaining a "one team" culture., • Analytical Discovery: Deep experience in technical "sizing" exercises to ensure accurate cost and effort estimation. Required Certifications • PMP or PRINCE2 Preferred Certifications • Google Professional Cloud Architect (Highly preferred for technical validation)., • Azure Solutions Architect (Beneficial for understanding the source environment).

Responsibilities • Enterprise Data Modelling Standards, • Define and own a group‑wide data modelling standard, including Star Schema patterns, Snowflake object hierarchies, and modelling conventions that underpin all analytical and operational data products., • Cross‑Cloud Data Orchestration, • Design and implement secure, high‑throughput data pipelines across cloud platforms, integrating AWS S3 and Azure‑based APIs through Snowflake. Ensure data integrity, lineage, and end‑to‑end auditability., • Snowflake Security & Governance, • Own the end‑to‑end Snowflake security model, including RBAC design, dynamic data masking, row‑level security, and comprehensive audit logging across development, test, and production environments., • Data FinOps & Cost Optimisation, • Monitor Snowflake credit consumption, identify high‑cost query anti‑patterns, and implement warehouse sizing and scheduling strategies to optimise operational data spend., • AI‑Ready Data Architecture, • Architect data stores optimised for large language model (LLM) consumption, including vector databases, embedding pipelines, and retrieval‑augmented generation (RAG)‑compatible data structures that form the foundation of the AI product layer., • Data Contracts & Platform Interfaces, • Experience, • 10+ years in Data Engineering or Data Architecture, with a minimum of 4 years specialising in Snowflake platform design, optimisation, and governance., • Data Architecture Expertise, • Deep knowledge of enterprise data warehouse design methodologies, including Inmon, Kimball, and Data Vault 2.0, with strong judgement on selecting the appropriate approach for each use case., • Technical Skills, • Expert‑level SQL and Python, with hands‑on experience using dbt (data build tool) or comparable transformation and orchestration frameworks., • Cloud & AWS Integration, • Strong understanding of AWS IAM, S3‑based data lake architectures, and PrivateLink or equivalent patterns for secure cross‑cloud connectivity., • AI & ML Enablement, • Practical experience designing data infrastructure to support AI/ML workloads, including vector stores, embedding pipelines, and integration with RAG‑based systems., • Stakeholder & Communication Skills, • Excellent interpersonal skills, with the ability to explain complex data architecture concepts clearly to Business Analysts and non‑technical stakeholders.

Join our client as a Senior AI Conversational Designer and play a pivotal role in shaping the future of their digital customer experience. This is an opportunity for a customer-obsessed, forward-thinking leader to take ownership of the conversational AI ecosystem, driving the evolution of conversational assistants and AI-powered interactions within a high-impact digital team. About the Opportunity Our client is no longer experimenting with conversational or generative AI-they are operationalising it at enterprise scale. They have evolved from isolated use cases into a fully integrated AI ecosystem, where conversational AI acts as the interface layer, generative AI provides reasoning and insight, and emerging agentic capabilities are beginning to drive real-world actions across systems and workflows. What They’re Doing • Conversational AI at scale, • Moving beyond traditional chatbots to human + AI orchestration, where AI handles high-volume interactions and seamlessly hands off to humans for complex scenarios., • This is deeply embedded within customer service and contact centre environments, improving resolution times, reducing repeat queries, and enhancing overall customer experience., • Generative AI embedded across the workforce, • AI is becoming the default interface for how employees interact with systems, through copilots and internal AI agents., • These systems unify access to knowledge, tools, and processes—enabling natural language interaction and reducing operational friction across the business., • Shift toward Agentic AI, • The organisation is beginning to move from conversation to action, where AI doesn’t just respond, but can trigger workflows, automate multi-step tasks, and coordinate across systems., • This represents the next frontier of enterprise AI., • AI-driven productivity and engineering, • Generative AI is being used to automate workflows, generate insights, and accelerate software development—delivering measurable efficiency gains across operations., • Data-led personalisation, • AI is powering more intelligent, context-aware customer experiences, enabling personalised services at scale and more effective decision-making across digital products., • Commercially driven AI strategy, • AI is directly tied to cost reduction, efficiency, and business performance—positioning it as a core P&L lever, not just an innovation initiative. Why This Role Matters This is not a traditional conversational design role. You will play a key part in shaping how AI scales across the organisation—designing not just conversations, but how AI behaves across customer and colleague experiences. The next phase of this journey is about moving from capability to differentiated, production-grade AI products—where design, product, data, and risk come together to create seamless, trustworthy, and high-impact experiences. What you will be doing In this role, you will lead the design and delivery of conversational services across chat, self-service journeys, and intelligent automation. You will help define how conversational AI is structured and scaled across the business, working across AI/ML, product, and data functions to create seamless, intuitive, and effective user experiences. Key responsibilities • Design and deliver service experiences that drive measurable business outcomes, including service blueprints, customer journey maps, and prototypes, • Create intuitive, user-friendly interfaces that support seamless and engaging digital experiences, • Develop and maintain consistent, high-quality UI aligned with brand and design standards, • Produce wireframes and interactive prototypes to test and validate concepts prior to development, • Ensure accessibility standards are embedded into all design outputs, • Stay ahead of industry trends, design best practices, and emerging technologies to continuously improve product experiences, • Leverage qualitative and quantitative data to uncover customer needs, pain points, and opportunities for innovation Additional highly valued experience includes: A deep understanding of NLP and its application in real-world conversational AI products A data-driven mindset, using insights and analytics to inform design decisions and optimise performance Experience defining and delivering conversational AI product vision, including integrations with search, virtual assistants, and broader digital ecosystems You will be assessed across a range of critical capabilities including strategic thinking, business acumen, change and transformation, risk and controls, and core digital and technology expertise.

AI Engineer (Contract) – £500/day Outside IR35 📍 Canary Wharf, London (3 days onsite) 🇬🇧 UK-based applicants only We’re looking for experienced AI Engineers who think holistically, automate relentlessly, and know how to turn modern AI capabilities into production-grade, high-impact applications. Our AI organisation is building real-world AI products that deliver business value at speed. This role is ideal for seasoned engineers who combine strong software engineering fundamentals with a pragmatic, hands-on approach to AI tooling and infrastructure. What you’ll be doing • Designing, building, and maintaining production-grade AI applications using modern engineering practices (CI/CD, testing, observability, cloud-native design)., • Developing reusable AI platforms and tools (e.g. conversational bots, AI-powered search, unstructured data processing, GenAI solutions)., • Working in cross-functional, embedded teams with business stakeholders to rapidly deliver AI solutions to high-priority problems., • Evaluating and integrating AI tools and frameworks (LLMs, vector databases, RAG, AI agents) into robust, scalable systems., • Championing automation across the full AI lifecycle—from data ingestion and preprocessing to deployment and monitoring., • Collaborating closely with data scientists, product managers, and engineers to ensure reliable end-to-end delivery., • Contributing to internal tooling, documentation, and best practices to scale AI engineering capability. What we’re looking for • Several years of professional software engineering experience, with a track record of shipping complex systems to production., • Strong Python skills and experience building APIs, microservices, and backend systems., • Solid understanding of software architecture, cloud infrastructure (AWS and/or Azure), and modern DevOps practices., • Hands-on experience integrating ML models into production systems (LLMs via APIs, fine-tuning, RAG, embeddings, agents)., • Experience with tools such as LangChain, LlamaIndex, Haystack, Hugging Face, Weaviate, CrewAI, AutoGen, or similar., • Hands-on work with Retrieval Augmented Generation, AI agents, and agent orchestration frameworks., • Experience working with unstructured data (documents, conversations, images)., • Background in platform engineering, internal developer tools, or forward-deployed/embedded team models., • Rate: £500 per day, • Location: Canary Wharf, London (3 days onsite per week), • Eligibility: Must be UK-based

Introduction: We’re WorldFirst, an international payments business helping move money around the world. We became part of Ant Group in 2019, accelerating our mission to create the world’s best platform for international trade by combining WorldFirst’s products with Ant’s solutions aimed at enabling the digitalization of the modern services industry globally. We have a shared purpose ‘to make it easy to do business anywhere.’ Together, we are advancing our shared aim of bringing innovative, inclusive and affordable services to small and medium-sized businesses and online merchants in the rapidly growing area of cross-border trade. Role Overview We are building the world’s most developer-friendly Global Card Issuing Platform. We are looking for a Senior Product Manager to own the enterprise-grade infrastructure that allows clients to launch card programs anywhere in the world through a single integration. You will be responsible for a unified Global API and SDK suite that abstracts the complexity of regional payment networks. Whether a client is launching in Europe, North America, or APAC, your product will provide a consistent, white-label experience. You will drive both the technical "how" (API/SDK design) and the strategic "where" (global expansion and regional issuing setups). What you’ll do: • Unified Global API Strategy: Design and maintain a single, polymorphic API architecture that supports card issuance across multiple jurisdictions, ensuring developers don't have to rewrite code for each new market., • Global-First SDKs: Lead the development of White-label SDKs (iOS, Android, Web) that provide high-performance, customizable UI components for card management, activation, and security (3DS/SCA) globally., • Market Expansion & Network Integration: Lead the "boots on the ground" product discovery for new regions. Identify, negotiate, and integrate with local Sponsor Banks, Processors, and Card Schemes (Visa/Mastercard/Local Schemes) to expand our footprint., • BaaS & White-label Orchestration: Manage the multi-tenant architecture that allows enterprise clients to deploy fully branded financial products while ensuring data residency and regional compliance (e.g., GDPR, CCPA)., • Technical Product Specification: Create deep technical documentation for global edge cases, such as cross-border transaction routing, multi-currency ledgering, and localized authorization hooks., • Enterprise Solutioning: Work with global tier-1 enterprises to understand their cross-border needs, translating them into scalable features on the global roadmap. What we’re looking for: • Experience: 5+ years in Technical Product Management with a heavy focus on Fintech, Payments, or BaaS., • Global Infrastructure Mindset: Proven experience building products that operate across multiple regions. You understand how to build a core platform that handles 80% of global needs, with 20% regional modularity., • API & SDK Expertise: * Expert-level knowledge of RESTful API design and developer experience (DX)., • Experience shipping SDKs that simplify complex frontend flows (e.g., card provisioning to Apple/Google Pay)., • Deep Payment Knowledge: Understanding of the global "four-party model," ISO 8583/20022 messaging, and the nuances of regional authorization and settlement., • Strategic Execution: Ability to navigate the complexity of local regulations while maintaining a fast-paced, global product roadmap., • Communication: Exceptional English communication skills, capable of influencing both London-based stakeholders and global engineering teams.

Oil Trading Head of Data Strategy & Architecture – Dubai Based • Business: Asset Backed Commodity Trading Firm of Oil & Gas Major, • Location: Dubai, UAE, • Assistance: Relocation allowance + visa sponsorship + assistance in setting up UAE bank account etc, • Experience: 10 years+ physical oil trading experience working in senior data architecture, data engineering, or data strategy roles, • Salary: AED 65,000 PCM (GBP 155,000 per annum) TAX FREE + bonus + benefits Overview: The asset backed commodity trading business of a large Oil & Gas Major is hiring for an Oil Trading Head of Data Strategy & Architecture to join their HQ in DIFC in Dubai. This is a brand newly created position, reporting into the General Manager of the trading business and will be in charge of defining, implementing, and governing the data vision for a leading physical oil trading organization. This role oversees the design and operation of a scalable, secure, high‑quality data ecosystem supporting front, middle, and back-office functions—including trading, risk, operations, finance, compliance, and HR. The ideal candidate combines deep knowledge of physical oil markets, strong experience with ERP & ETRM systems, and a proven ability to build modern data platforms, cloud architectures, data governance frameworks, and efficient workflows for technical and non‑technical users. Key Responsibilities: Data Strategy & Governance • Develop and own the company’s enterprise data strategy, ensuring alignment with commercial, risk, and IT objectives. Data Architecture & Platform Ownership • Lead the design, implementation, and ongoing evolution of the KPCT central data platform., • Own the overall data infrastructure, ensuring reliability, scalability, and performance. Cloud Strategy & Engineering Leadership • Drive the company’s cloud data strategy, selecting and optimizing cloud technologies On‑Desk Enablement & Coding Frameworks • Create and support controlled frameworks for on‑desk coding (Python, SQL, analytics tooling, etc….), providing guardrails without limiting innovation., • Partner with Trading, Risk, and Analytics teams to streamline creation of pricing tools, forecasting models, optimization engines, and dashboards. Cross‑Functional Support Across the Trading Lifecycle • Support front office (Trading, Analytics, Research), middle office (Risk, Control) and back office (Operations, Finance, Accounting) ETRM Integration & Data Flow Management • Act as the strategic owner of data flows into and out of ERP & ETRM systems (e.g., Endur, Allegro, Aspect, RightAngle etc). Leadership & Stakeholder Management • Lead implementation by network of Data/Digital representatives within each business department to accept and assimilate new technologies., • Serve as the bridge between business teams and technology teams, translating commercial needs into scalable solutions., • Communicate data strategy, KPIs, risks, and progress clearly to executive leadership. Required Experience & Qualifications • Strong understanding of physical oil trading, supply chains, market data, pricing, and operations experience gained working for a major global oil trading business (ideally oil major)., • It is essential that you have worked for a major global oil trading business, in a major global oil trading hub (London, Houston, Geneva, Singapore etc), instead of for a smaller remote office, • 10+ years in data architecture, data engineering, or data strategy roles., • Hands‑on familiarity with major ETRM systems (e.g., Endur, Allegro, Aspect, RightAngle)., • Practical coding knowledge: Python, SQL, version control (Git), and workflow orchestration tools., • Experience implementing and scaling cloud‑native data platforms (Azure/AWS/GCP)., • Strong knowledge of streaming, APIs, data modeling, and integration frameworks. Leadership & Strategic Capabilities • Proven ability to define data strategy at enterprise scale., • Experience managing and mentoring diverse technical teams., • Excellent stakeholder management across Trading, Risk, Finance, IT, and senior leadership., • Strong architectural thinking and ability to design future‑proof systems For more information, please e-mail through an up-to-date copy of your CV to Ben at

Introduction: We’re WorldFirst, an international payments business helping move money around the world. We became part of Ant Group in 2019, accelerating our mission to create the world’s best platform for international trade by combining WorldFirst’s products with Ant’s solutions aimed at enabling the digitalization of the modern services industry globally. We have a shared purpose ‘to make it easy to do business anywhere.’ Together, we are advancing our shared aim of bringing innovative, inclusive and affordable services to small and medium-sized businesses and online merchants in the rapidly growing area of cross-border trade. Role Overview We are building the world’s most developer-friendly Global Card Issuing Platform. We are looking for a Senior Product Manager to own the enterprise-grade infrastructure that allows clients to launch card programs anywhere in the world through a single integration. You will be responsible for a unified Global API and SDK suite that abstracts the complexity of regional payment networks. Whether a client is launching in Europe, North America, or APAC, your product will provide a consistent, white-label experience. You will drive both the technical "how" (API/SDK design) and the strategic "where" (global expansion and regional issuing setups). What you’ll do: • Unified Global API Strategy: Design and maintain a single, polymorphic API architecture that supports card issuance across multiple jurisdictions, ensuring developers don't have to rewrite code for each new market., • Global-First SDKs: Lead the development of White-label SDKs (iOS, Android, Web) that provide high-performance, customizable UI components for card management, activation, and security (3DS/SCA) globally., • Market Expansion & Network Integration: Lead the "boots on the ground" product discovery for new regions. Identify, negotiate, and integrate with local Sponsor Banks, Processors, and Card Schemes (Visa/Mastercard/Local Schemes) to expand our footprint., • BaaS & White-label Orchestration: Manage the multi-tenant architecture that allows enterprise clients to deploy fully branded financial products while ensuring data residency and regional compliance (e.g., GDPR, CCPA)., • Technical Product Specification: Create deep technical documentation for global edge cases, such as cross-border transaction routing, multi-currency ledgering, and localized authorization hooks., • Enterprise Solutioning: Work with global tier-1 enterprises to understand their cross-border needs, translating them into scalable features on the global roadmap. What we’re looking for: • Experience: 5+ years in Technical Product Management with a heavy focus on Fintech, Payments, or BaaS., • Global Infrastructure Mindset: Proven experience building products that operate across multiple regions. You understand how to build a core platform that handles 80% of global needs, with 20% regional modularity., • API & SDK Expertise: * Expert-level knowledge of RESTful API design and developer experience (DX)., • Experience shipping SDKs that simplify complex frontend flows (e.g., card provisioning to Apple/Google Pay)., • Deep Payment Knowledge: Understanding of the global "four-party model," ISO 8583/20022 messaging, and the nuances of regional authorization and settlement., • Strategic Execution: Ability to navigate the complexity of local regulations while maintaining a fast-paced, global product roadmap., • Communication: Exceptional English communication skills, capable of influencing both London-based stakeholders and global engineering teams.

Role Overview We are seeking a client-facing Pre-Sales Solution Architect – AI & Intelligent Automation to drive AI-led solutioning across pursuits, RFPs, strategic pitches, and existing DPO accounts. This role sits at the intersection of sales, architecture, and business consulting. The primary objective is to increase win rates, shape large AI-led deals, and build a qualified automation pipeline across multiple business value chains. The ideal candidate combines strong AI and automation expertise with commercial acumen, storytelling ability, and executive engagement skills. Key Responsibilities 1. AI Opportunity Identification Across Value Chains • Identify automation and AI insertion points across various vusiness functions (Finance & Accounting, Supply Chain, Customer Operations, Procurement etc) and Industry-specific value streams, • Assess feasibility and ROI of AI-led transformation opportunities, • Define use cases involving LLMs, agentic workflows, RPA, ML models, and orchestration platforms, • Create reusable AI solution patterns across value chains 2. RFP & Proactive Deal Support • Lead AI solutioning for:, • RFP responses, • Client proposals, • Proactive pitches and strategic account mining, • Develop end-to-end solution approaches including:, • Architecture diagrams, • Operating model design, • Transition roadmap, • Risk and governance considerations, • Partner with sales and account teams to strengthen competitive positioning 3. Architecture & Solution Design • Design scalable AI-enabled automation architectures integrating:, • Hyperscaler AI services (Azure AI, AWS, GCP, OpenAI, Anthropic), • Enterprise platforms (SAP, Oracle, ServiceNow, CRM systems), • Data platforms and middleware, • Define:, • Agent-based automation models, • RAG architectures, • Process orchestration frameworks, • Human-in-the-loop governance models, • Ensure security, compliance, and responsible AI principles are embedded 4. Business Case Development • Build compelling financial and operational business cases including:, • Productivity impact, • Cost savings, • Revenue enhancement, • ROI and payback analysis, • Quantify transformation value across value chains, • Support deal pricing assumptions and margin analysis, • Develop executive-ready summaries for client decision-makers 5. Executive Presentations & Collateral Development • Develop high-impact PowerPoint presentations for:, • CXO conversations, • Board-level discussions, • AI governance committees, • Analyst briefings, • Translate technical AI concepts into clear business narratives, • Create reusable pitch decks and solution accelerators, • Maintain visual clarity and structured storytelling in all materials 6. Analyst & Market Collaboration • Work closely with industry analysts to:, • Articulate DPO’s AI differentiation, • Support analyst briefings, • Contribute to market positioning and reports, • Provide inputs for thought leadership, whitepapers, and POV documents, • Align AI offerings with industry trends and competitive benchmarks 7. Account Expansion & Existing Customer Engagement • Engage with existing DPO customers to identify AI-led transformation opportunities, • Conduct automation discovery workshops, • Develop AI transformation roadmaps for clients, • Support cross-sell and up-sell initiatives Required Qualifications • 10–15 years of experience in Solution Architecture, Consulting, or Digital Transformation, • Strong understanding of AI/ML, LLM-based architectures, and intelligent automation, • Experience supporting RFPs and complex deal pursuits, • Experience across multiple enterprise value chains, • Strong financial modeling and business case development skills, • Excellent PowerPoint storytelling and executive communication capability, • Familiarity with hyperscaler AI ecosystems, • Exposure to enterprise platforms (SAP, Oracle, ServiceNow), • Experience in agentic workflow design, • Consulting background preferred, • Experience working in global delivery models Behavioral Competencies • Strong strategic thinking and structured problem-solving, • High executive presence, • Ability to operate in ambiguous environments, • Strong influencing and stakeholder management skills, • Commercial mindset with outcome orientation, • Strong collaboration across sales, product, and engineering teams

My Banking client is seeking to recruit a DevSecOps Engineer on an initial 6 month based in London. It is hybrid and will require 3x days onsite per week. \n \n Role Purpose\n\nThe Vice President, DevSecOps Engineering is a senior individual contributor and technical lead responsible for defining, implementing, and governing enterprise CI/CD, DevSecOps, and cloud‑ready delivery strategies across multiple development teams and technology stacks.\n\nOperating within a highly regulated, governance‑driven financial institution, this role requires the ability to balance engineering excellence, cloud adoption, security, risk management, and regulatory compliance. The role holder will enable teams working across different software lifecycle methodologies to deliver secure, resilient, and scalable software.\n\nThis position demands deep technical credibility, strong ownership, and influence without direct authority.\n\nKey Accountabilities\n\nEnterprise CI/CD & DevSecOps Strategy\n\nDefine and own the enterprise CI/CD and DevSecOps strategy, aligned with technology, security, risk, and governance standards\nArchitect CI/CD approaches that support multiple teams, diverse technologies, and varying delivery methodologies\nEstablish standards that promote reuse, quality, security, and scalability while allowing appropriate flexibility\nEnsure CI/CD strategies are resilient, auditable, and suitable for a financial services control environment\nCreate and oversee build and delivery pipelines supporting applications written in Java, C# .NET, JavaScript (React JS), Python\nEnsure pipelines are production‑grade, observable, and aligned to operational and audit expectations \n\nCloud & Containerised Application Enablement\n\nProvide expertise in building cloud and cloud‑ready applications, with CI/CD pipelines designed for modern platforms\nSupport and shape delivery of containerised workloads, using technologies such as Docker and Kubernetes (and related orchestration platforms)\nEnsure CI/CD pipelines integrate effectively with container registries, orchestration platforms, and cloud services\nCollaborate with Cloud and Platform teams to ensure DevSecOps practices align with enterprise cloud strategy and target architectures \n\nRequired Skills & Experience\n\nCore Technical Experience\n\nExtensive experience designing and delivering enterprise‑scale CI/CD solutions, with GitLab experience essential\nStrong hands‑on experience supporting build pipelines for Java, C#, JavaScript, and Python\nProven experience building reusable CI/CD frameworks supporting multiple teams and products \n\nCloud & Containerisation\n\nStrong experience with cloud platforms and modern application delivery models\nProven experience building and delivering containerised and cloud‑ready applications\nExperience integrating CI/CD pipelines with cloud services, container platforms, and shared tooling

Data Engineer \n\nFully Remote \n\n£50,000 - £65,000 + Car Allowance - £5,200 + 5% Bonus \n\n6 Month initial FTC with view to extend \n\nBrief\n\nData Engineer needed for a large well known Facilities Management organisation. The role I have can be based fully remote from home with all equipment provided. My is looking to employ an experienced and well-rounded Data Engineer that takes pride in their work with proven 4 years experience working in a fast-paced environment, preferably within a dynamic data engineering team.\n\nThe successful candidate must have proven skills at managing day-to-day BAU tasks to maintain existing data processes/ETLs, while simultaneously contributing to strategic roadmap projects and initiatives. Along with previous responsibility for end-to-end ownership of data pipelines and automation of data workflows.\n\nFinally have 5 years Strong programming experience at an advanced level in Python, PySpark, and SQL scripting.\n\nBenefits\n\nSalary: £50,000 - £65,000 per annum\n25 day's holiday\nCompany car / Allowance\nVariable annual bonus based 5-15%\nPension Plan\nCareer Progression \n\nWhat the role entails:\n\nSome of the main duties of the Data Engineer will include:\n\nDevelop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise.\nDesign and implement reusable, scalable, and well-documented data workflows that ingest, transform, and curate data within Palantir Foundry, enabling the business to generate actionable insights and drive strategic decision-making.\nLead workshops with business stakeholders to capture data requirements, translating these into flexible and scalable designs that utilise Palantir Foundry's advanced toolsets to deliver reliable, high-quality data solutions that align with strategic objectives.\nDemonstrate Palantir Foundry's full potential by showcasing its capabilities to a diverse set of business stakeholders, guiding them in leveraging the platform's full range of functionality to deliver transformative business outcomes.\nEnsure the availability, performance, and integrity of all data services within Palantir Foundry, continuously monitoring and optimising data processes to meet stringent service level agreements (SLAs) and business requirements. \n\nWhat experience you need to be the successful Data Engineer:\n\nProficiency in Palantir Foundry pipeline development: Extensive experience in building, maintaining, and optimising data pipelines and transformations within Palantir Foundry, leveraging tools such as Foundry Code Workbooks, Pipelines, and Object Explorer for efficient data processing and integration.\nStrong coding skills in Python (Pandas) and PySpark: Essential experience in using Python (Pandas) and PySpark for data manipulation, transformation, and pipeline development within Palantir Foundry, ensuring high performance and scalability across various data flows.\nExperience in data modelling and ontology development: Proven expertise in using Palantir Foundry's ontology to model data in ways that optimise its accessibility and usability, supporting robust reporting, analytics, and machine learning pipelines.\nDeep understanding of Foundry's data governance and metadata management: Strong knowledge of how Palantir Foundry manages data governance, metadata, lineage, and auditing, ensuring compliance with enterprise-wide data governance policies and regulatory standards.\nData pipeline automation and orchestration: Experience with Foundry's Pipeline Builder for designing, developing, and automating ETL processes that ensure the availability of clean, curated data for business analytics and decision-making.\nCode development, testing, and deployment in Foundry: Demonstrated ability to design, test, and deploy code using Foundry's integration with CI/CD pipelines, ensuring data processes are efficiently managed from development through to production.\nEffective collaboration and communication skills: Ability to work with cross-functional teams and effectively communicate technical concepts related to data workflows in Palantir Foundry to both technical and non-technical stakeholders, ensuring a clear understanding of how data solutions drive business outcomes.\nDeep familiarity with Palantir Foundry's tools and frameworks: Direct experience working within Palantir Foundry's platform, leveraging its comprehensive suite of tools, including Code Workbooks, Pipelines, Object Explorer, and Foundry's data governance and ontology capabilities.\nExperience in multi-cloud and data migration environments: Experience working with data environments in Microsoft Asure, AWS, and legacy systems, and a proven ability to consolidate and migrate data processes and workloads into Palantir Foundry as part of a broader data strategy.\nData-driven business value: Demonstrated ability to deliver tangible business value through the development and deployment of data engineering solutions, leveraging Palantir Foundry's capabilities to support key analytics, reporting, and decision-making initiatives. \n\nThis really is a fantastic opportunity for a Data Engineer to progress their career. If you are interested please apply as soon as possible as this position will be filled quickly so don't miss out!\n\nServices advertised by Gold Group are those of an Agency and/or an Employment Business.\nWe will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website

This is a rare opportunity to apply serious data engineering in a domain where latency, correctness, and reliability carry direct commercial weight.\n * Requirements\n * 6+ years data engineering in production environments; Python expertise - idiomatic, well-tested, production-grade code, not notebook scripts\n * ETL/ELT pipeline design and implementation at scale; orchestration with Airflow, Prefect, or equivalent; reliability-first mindset including backfill, retry, and exactly-once semantics\n * Azure data platform - Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage; infrastructure as code for data workloads (Terraform or Bicep)\n * Databricks - Delta Lake, Unity Catalog, job cluster vs interactive cluster trade-offs, cost-aware compute management, Spark job optimisation\n * Relational databases: PostgreSQL at production scale - query optimisation, indexing strategies, table partitioning, replication, schema design for both OLTP and analytical workloads\n * MongoDB - document modelling, aggregation pipelines, indexing strategy, replica sets; clear judgment on when document vs relational storage is the right architectural call\n * Containerisation: Docker and Kubernetes-based deployment of data workloads; reproducible, environment-agnostic data infrastructure\n * Data modelling for analytical workloads - dimensional modelling, data vault, or equivalent; schema evolution, slowly changing dimensions, and downstream impact analysis\n * Stream and batch processing patterns; late data handling, watermarking, and backfill strategies; throughput vs latency trade-offs in pipeline design\n * Production data observability - data lineage, quality checks, SLA monitoring, alerting on freshness and completeness; treating data correctness as a first-class concern\n * CI/CD for data infrastructure - version-controlled pipelines, automated data quality testing, reproducible and auditable deploys\n * Ability to work directly with quant researchers, risk managers, and traders - translate business requirements into reliable, well-documented data products\n * Nice to Have\n * Financial markets data - market data feeds (Bloomberg, Refinitiv), tick data, trade history, reference data, or instrument master management\n * Apache Spark or Flink for large-scale stream and batch processing beyond the Databricks ecosystem\n * dbt or equivalent SQL transformation layer; experience building and maintaining dbt projects in a production data warehouse\n * Event streaming with Kafka or Confluent Platform - topic design, consumer group management, exactly-once delivery guarantees\n * OLAP-optimised stores - ClickHouse, DuckDB, or equivalent; understanding of columnar storage and vectorised query execution\n * Energy, commodities, or broader financial markets domain knowledge\n * What We're Looking For\n * You treat data as a product, not a side effect. You know what it takes to make a pipeline trustworthy - not just running, but observable, tested, and recoverable when something upstream changes at 3am. You think in systems: schema evolution, lineage, freshness SLAs, and the downstream impact of every modelling decision. At ETrading , that data is the foundation of billion-dollar trading decisions. You are the reason it is right.\n\nTo find out more about Huxley, please visit \n\nHuxley, 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

Your work days are brighter here. We're obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you'll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We're in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you'll do meaningful work with Workmates who've got your back. In return, we'll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you've found a match in Workday, and we hope to be a match for you too. About the Team The Workday UKI Solution Consulting team consists of pre-sales specialists who partner with Account Executives to drive sales by showcasing how Workday's HCM, Financial, and Talent applications solve business challenges. They act as trusted advisors, delivering product demonstrations, creating tailored, value-driven presentations, and providing technical expertise to existing & prospective customers About the Role As a Customer Solution Strategist, you will be the primary visionary for our most significant enterprise accounts. You aren't just answering RFPs; you are redefining how C-level executives (CFOs, CHROs, and CIOs) view their business future. You will bridge the gap between "what is" and "what is possible," orchestrating complex internal and external teams to ensure our customers don't just buy a product-they realize a transformation. Key Responsibilities 1. Strategic Advisory & Executive Partnership • C-Suite Relationship Management: Build and sustain deep, credible partnerships with the oCFO, oCHRO, and CIO, serving as a trusted advisor who understands their personal and professional KPIs., • Provocative Thought Leadership: Challenge the status quo. You will guide customers to think beyond immediate pain points toward a future-state vision, creating a "safe space" for radical business honesty and expert-led innovation. 2. Solution Strategy & Transformation Orchestration • Long-Term Roadmap Development: Lead the co-creation of Strategic Roadmaps and Strategic Staircases. You will align our technology with the customer's 3-5 year pillars, such as ESG mandates, becoming a "learning company," or achieving "Growth without Growth.", • Custom Innovation: Identify unique business use cases that require "out of the box" thinking, leveraging tools like Workday Extend to co-innovate and bridge functional gaps. 3. Value Realization & Growth Engineering • Architecture White Space Identification: Proactively diagnose "White Space" within an account's architecture to identify expansion opportunities that increase the platform footprint and customer ROI., • Adoption & Churn Mitigation: Act as a "Value Doctor." You will diagnose root causes of low adoption (Sold Not Implemented - SNI) and collaborate with Value Management to build compelling business cases for continued investment and optimization. 4. Internal Advocacy & Operational Leadership • Account "COO": Act as the operational lead for the Solution Consulting team. You will orchestrate specialized resources-including Architects, Specialists, and Business Analysts-to ensure a unified front for the account., • Product Feedback Loop: Serve as the "Voice of the Strategic Customer" back to Product Management, ensuring that the most critical needs and product gaps are prioritized in the development pipeline., • Strategic Programs: Partner with the Strategic Accounts Office (SAO) to execute high-stakes "Top-to-Top" reboots and "Get Ahead" initiatives About You Required Skills & Experience Mindset • Farmer Mindset: Focused on long-term relationship cultivation rather than just short-term wins., • Challenger Mindset: Comfortable disrupting a customer's status quo to drive better outcomes., • Broad Workday Knowledge: A wide understanding of the Workday ecosystem and the ability to connect platform capabilities to business value., • Strategic Thinking: Ability to translate complex business challenges (M&A, digital transformation, cost-out targets) into technical solution roadmaps., • Compete for Capital: Skills in financial acumen to justify investments to CFOs. Other Qualifications: • Workshop Facilitation: Expert-level ability to design and lead engaging workshops (Innovation Days, ARS sessions, Design Thinking)., • Active Listening & Empathy: Deep diagnostic skills to uncover latent needs and understand the "political" landscape of a customer., • Master Storytelling: Ability to weave a compelling narrative that connects Workday's innovation to the customer's "North Star." Basic Qualifications: • 5+ years in a similar role customer facing role, HCM product focus Our Approach to Flexible Work With Flex Work, we're combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter. At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email ___. Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process! At Workday, we value our candidates' privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not. In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

My client is a fast-growing, AI-driven technology business transforming how large-scale industrial trade gets done.Their platform digitises and automates complex, high-value supply chain workflows, replacing slow, manual processes with intelligent real-time orchestration that genuinely moves the nee

Quant Fund – Global collaborative firm run by passionate Computer Scientists.In this role, you’ll work closely with cross-functional engineering teams to.CI/CD pipelines, and self-service workflows.HPC and container orchestration for high-compute workloads.CI/CD, version control, artifact manage

Salesforce Administrator Certification (required) and Salesforce Advanced Administrator or Platform App Builder (preferred). Extensive practical experience in Salesforce Flows, including complex record-triggered flows, orchestration, sub flows, and error handling strategies. Minimum 5 years’ prove

OutSystems development (Traditional or Reactive Web / Mobile).Strong understanding of low-code application architecture and lifecycle.Experience with integrations (REST, SOAP, OAuth, SQL, message queues).Basic understanding of CSS, JavaScript, and relational databases (SQL Server, Oracle).Knowledge

Mentor engineers in ML engineering, orchestration, and modern AI best practices. You’ll be the technical authority for AI engineering, driving architecture, automation, whilst ensuring our AI platform is robust and transparent. We’re partnered with a global leader in loyalty and customer engagem

LLM reasoning and orchestration layers. Design end-to-end AI architectures integrating NLP, LLM orchestration, and knowledge graphs. Strong experience integrating LLMs with knowledge graphs or structured data.

Experience in Agile / DevOps and CI/CD integration for OutSystems TPBN1_UKTJ.