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🚀 Forward Deployed Engineer – Agentic AI 🚀 💥 Global Consulting Firm Pioneering Agentic AI 💥 📍 Liverpool | Hybrid: 2-3 days on-site + client travel 💸 £90k – £150k (level dependent) + bonus + sign-on This is not a theoretical or demo-driven AI role. We’re hiring engineers who design, deploy, and scale agentic AI systems in production. You’ll partner directly with enterprise and public-sector clients, taking initiatives from early proof-of-concept through to mission-critical platforms used by hundreds or thousands of users. If you enjoy operating at the intersection of deep engineering, real-world delivery, and client impact, this role was built for you. What You’ll Be Responsible For • Architect agentic AI systems – Design and own full agent lifecycles (plan → act → reflect), orchestration layers (DAGs, state machines), and memory strategies., • Build production-grade tooling – Implement schemas, safety controls, retries, rate limiting, and extensible SDKs., • Develop memory & retrieval services – Create episodic and semantic memory pipelines, RAG APIs, deduplication, and summarisation agents., • Deploy at scale – Productionise systems using Kubernetes, serverless, GPU infrastructure, CI/CD pipelines, observability, and auto-scaling., • Ensure reliability & governance – Apply guardrails, cost/latency controls, checkpointing, and critic/reviewer patterns., • Evaluate and monitor – Build automated evaluation frameworks, golden datasets, retriever testing, and drift detection., • Work with clients – Lead technical workshops, delivery roadmaps, and AI maturity assessments, translating complexity into outcomes. What We’re Looking For Essential Experience • Hands-on experience shipping LLM or agentic AI systems into production., • Strong software engineering fundamentals across orchestration, deployment, monitoring, and reliability., • Experience with agentic architectures (e.g. LangGraph, ReAct, CoT loops) or building custom frameworks from first principles., • Degree in Computer Science, AI, or related discipline., • Experience with PyTorch or TensorFlow, vector databases, RAG pipelines, and orchestration platforms., • Comfortable operating in client-facing delivery environments. Nice to Have • Background in consulting, scale-ups, or high-ownership start-up environments., • Exposure to regulated or high-stakes industries., • Self-directed, entrepreneurial mindset with a bias toward execution. Why Join This Team? • Real Impact – Deliver production-ready agentic AI systems solving real operational problems., • Technical Depth – Work beyond “glue code” on orchestration, deployment, and system reliability., • Global Exposure – Hybrid role with international client and team collaboration., • Career Acceleration – Influence how enterprises adopt and scale agentic AI., • Culture – Fast-moving, delivery-focused, and genuinely at the frontier of applied AI. Keywords (SEO): Forward Deployed Engineer, Agentic AI Engineer, Multi-Agent Systems, LLM Production, AI Orchestration, LangGraph, LangChain, RAG, AI Deployment, AI Consultant, Applied AI, AI Architecture, Enterprise AI, Autonomous Systems, AI Engineering Jobs, AI Careers UK

Role Purpose The Head of AI will define and deliver Homes for Students’ enterprise AI strategy, embedding intelligent solutions across the organisation to enhance customer experience, improve operational efficiency, strengthen decision-making, deepen data insights, and drive commercial performance. As the senior authority on AI, data science, and automation, the role will translate business challenges into scalable, ethical, and value-driven AI solutions that deliver measurable impact. AI will be positioned as a core business capability, integrated into how the organisation operates, rather than a standalone technical function. Working closely with executive leadership, technology teams, and operational stakeholders, the Head of AI will drive the practical adoption of generative AI, predictive analytics, intelligent automation, and AI-powered decisioning across multiple business areas. All initiatives will be embedded into day-to-day workflows, with clear outcomes, adoption, and return on investment. The role will also ensure that Homes for Students adopts AI responsibly, balancing innovation with strong governance, transparency, security, and regulatory compliance, while staying ahead of emerging regulation and industry best practice. Key Responsibilities Strategy & Leadership • Define and own the enterprise AI strategy aligned to Homes for Students’ business goals., • Identify high-value AI use cases across multiple departments, • Act as a senior advisor to the executive team on AI opportunities, risks, and investment decisions., • Build, lead, and develop a high-performing AI and data science capability, including internal teams and external partners., • Promote a culture of data-driven decision-making and responsible AI adoption across the organisation. Delivery & Execution • Oversee the end-to-end lifecycle of AI solutions, from discovery and design through to deployment, adoption, and continuous improvement., • Ensure AI products are scalable, secure, explainable, and integrated into real business processes and systems., • Champion intelligent automation, AI copilots, and decision-support tools to improve productivity, service quality, and speed of execution., • Define success metrics and ensure AI initiatives deliver measurable ROI and business impact. Governance, Ethics & Risk • Establish AI governance frameworks covering ethics, bias, privacy, security, and regulatory compliance., • Ensure responsible use of AI., • Stay ahead of UK and global AI regulation and best practice. Stakeholder Engagement • Work closely with operational and functional leaders to ensure AI solutions solve real-world problems and are adopted effectively., • Translate complex AI concepts into clear, actionable business language for non-technical audiences., • Represent Homes for Students externally with technology vendors, strategic partners, and industry forums, shaping partnerships and thought leadership. Skills & Experience Essential • Deep understanding of modern AI ecosystems, including generative AI, agentic systems, AI copilots, automation, and orchestration frameworks., • Significant experience leading AI, data science, advanced analytics, or intelligent automation functions at a senior level., • Proven track record of delivering complex transformation programmes where data, technology, and innovation materially improved business performance., • Strong technical grounding in machine learning, generative AI, automation, and modern data platforms, with the ability to guide architectural decisions., • Experience operating in complex, regulated, or customer-centric environments., • Ability to influence at executive level and bridge technical, operational, and commercial perspectives. Desirable • Experience in property, real estate, hospitality, retail, or other consumer-facing service environments., • Demonstrable experience delivering AI solutions that generated tangible business value and operational improvement., • Experience working with cloud-based AI platforms and modern data stacks., • Knowledge of emerging AI regulation and ethical AI frameworks. What We Offer: • Generous holiday package: 25 days, plus bank holidays, for work-life balance., • An extra day off for your birthday., • Pension Scheme., • Exclusive retail discounts to make your money go further., • Car leasing scheme for a comfortable commute., • Cycle-to-work scheme to stay active and eco-friendly., • 2 charity days per year to make a difference in the community., • Life insurance for peace of mind., • Just Eat for Business - we love a regular takeaway!, • Length in service bonuses

About MosaiQ MosaiQ is a fast-growing AI company transforming how professional-services firms operate. We work with consulting teams, private equity funds, investment advisors, and other knowledge-driven organisations to turn their expertise, judgment, and workflows into AI-powered systems — deployed in days, not months. This is not “AI tooling for demos.” This is production AI embedded into real decision-making and revenue-critical workflows. Our Uniqueness • We reverse-engineer real work, not abstract use cases, • We map tacit knowledge and judgment, not just data, • We build hybrid AI + human systems that actually get used, • We augment experts rather than replace them, • We deploy custom AI directly into business processes, with measurable impact, • We work hands-on with decision-makers who value speed, quality, and judgment The Role We are looking for a Senior Full-Stack / AI Engineer to work closely with the founding team and the core team to design, build, and deploy real AI systems for demanding professional-services clients. You will not be handed toy problems or isolated tickets. You need to be a system thinker and ready to tackle complex problems. You will help turn messy, high-stakes workflows into robust AI-powered products, from architecture to deployment. Your work will directly shape MosaiQ’s platform, its AI modules, and how clients experience AI in practice. Your Responsibilities AI Systems & Product Engineering • Design and build AI-powered workflows end-to-end (backend, frontend, orchestration), • Implement and iterate on AI modules (LLMs, agents, retrieval, evaluation loops), • Translate real business processes into reliable, testable systems, • Balance speed, robustness, and long-term maintainabilityFull-Stack Development, • Build and evolve product interfaces used by real clients, • Develop APIs, services, and data pipelines supporting AI workflows, • Own features from concept → implementation → deployment, • Contribute to platform architecture and core componentsAI Implementation & Quality, • Design prompts, system instructions, and evaluation criteria, • Implement human-in-the-loop workflows where judgment matters, • Debug failure modes, hallucinations, and edge cases, • Improve reliability, consistency, and explainability of outputsCollaboration & Product Thinking, • Work directly with the founder on product direction and trade-offs, • Sit close to client problems to understand real constraints, • Help shape what becomes reusable platform capability vs. bespoke logic, • Document patterns, learnings, and internal building blocks Who You Are You’ll thrive here if you: • Are a senior builder, comfortable owning systems end-to-end, • Enjoy understanding how businesses actually work, not just code in isolation, • Think in systems, workflows, and failure modes, • Write production-grade code, • Use AI tools daily to accelerate your own work, • Understand trade-offs between speed, correctness, and scalability Core skills • Have built AI products beyond demos or notebooks, • Have experience with:, • LLM orchestration / agents, • RAG systems and knowledge layers, • Evaluation frameworks for AI outputs, • Have used tools such as:, • LangChain / LangGraph / similar, • Claude / OpenAI APIs in production, • Vector databases, embeddings, structured retrieval, • Have worked in consulting, finance, legal, or other knowledge-heavy environments, • Can turn ambiguous, real-world problems into clean technical designs Mindset That Matters • Builder mentality — you ship, iterate, and improve, • Bias to action — progress today beats perfect next quarter, • Ownership — you take responsibility for outcomes, not just tasks, • Product thinking — you care how systems are used, not just how they’re built What You Gain • Direct exposure to real client problems and high-stakes use cases, • The chance to build serious AI systems, not slideware, • Deep experience turning expert workflows into AI-powered products, • A central role in shaping MosaiQ’s technical and product foundations, • The opportunity to grow into a core technical leader as the company scales

Principal Data Engineer Location: United Kingdom Our Client They are a global content solutions company, powered by technology and human expertise. They help organisations grow the value of their ideas, data, and content by enabling them to be understood - everywhere. With over 45 AI patents, industry-leading technology, and expert talent, they support more than 80 of the world’s top 100 brands. Their teams operate across 60+ locations worldwide, delivering solutions that accelerate time-to-market, deepen customer engagement, and unlock new global opportunities. Role Overview As Principal Data Engineer, you will be a senior technical leader responsible for shaping the architecture, scalability, and evolution of the enterprise data platform. This role goes far beyond delivery. You will define technical strategy, design scalable data systems, mentor senior engineers, and partner closely with product, engineering, analytics, and business leaders to transform strategic goals into robust, data-driven solutions. You will have significant autonomy to influence architectural decisions, introduce best practices, and create a lasting technical legacy across the global data ecosystem. Key Responsibilities • Lead the design and evolution of scalable, secure, and reliable data architectures supporting BI, analytics, and ML workloads., • Define and drive data engineering standards, architecture patterns, and best practices across teams., • Influence technical strategy across engineering, product, and analytics through clear communication and stakeholder collaboration., • Anticipate future data needs, balancing long-term vision with pragmatic delivery., • Own reliability, performance, and observability of critical data systems, including SLO definition and operational resilience., • Mentor and develop senior data engineers through architecture reviews, technical coaching, and knowledge sharing., • Champion data quality, governance, monitoring, incident response, and cost optimisation., • Evaluate emerging tools and technologies, guiding adoption where they deliver genuine business value. Skills & Experience • Extensive experience designing and operating large-scale, cloud-based data platforms., • Deep expertise in data engineering fundamentals: data modelling, pipeline orchestration, distributed systems, and performance optimisation., • Strong architectural judgement, balancing technical excellence with business outcomes., • Proven leadership and influence across cross-functional teams., • Demonstrated success mentoring senior engineers and scaling team effectiveness., • Exceptional communication skills, including technical writing, documentation, and executive presentations., • Strong business acumen with the ability to connect technical decisions to measurable ROI. Desirable Experience • Hands-on experience with Google Cloud Platform (Big Query, Data form, Cloud Composer)., • Metadata management and data cataloguing (e.g., DataHub, Alation)., • Modern orchestration platforms (Airflow, Prefect, Dagster)., • Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code., • Data mesh or decentralised data architecture implementations., • Model Context Protocol (MCP) for data assets., • Open-source contributions or active participation in the data engineering community.

Senior ML & AI Engineer Remote (Bath office 1 day per month) Up to £80,000 About the Role We’re partnered with a fast-growing tech startup focused on how brands and retailers use data. Their AI platform brings together data science, immersive visualisation, and large-scale machine learning to optimise product ranges, plan shopper journeys, and drive smarter commercial decisions. They’re now looking for a Senior ML & AI Engineer to join their lean, high-impact engineering team. This is a pivotal role at the intersection of ML engineering, backend systems, and LLM integration - ideal for someone who thrives in fast-paced, hands-on environments where ML systems are core. Responsibilities • Design, build, and maintain scalable backend systems that power advanced ML and LLM applications., • Develop and manage end-to-end MLOps pipelines with automation, reproducibility, and scalability at their core., • Deploy and monitor machine learning and LLM models in production, identifying model drift and performance issues., • Drive research and development in modern ML, AI, and LLM approaches, applying SOTA techniques in a real-world setting., • Champion clean, maintainable, and well-documented code following best engineering practices. What We’re Looking For • Strong academic background in Computer Science, ML, AI, or a related field., • Deep hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)., • Proven background in MLOps, including model versioning, CI/CD for ML, and production monitoring., • Experience building robust backend systems and APIs to serve ML models at scale., • Strong understanding of big data technologies and data orchestration tools (Airflow, DBT)., • Familiarity with LLM integration and optimisation in production environments., • Excellent problem-solving, analytical, and communication skills., • Experience fine-tuning LLMs (e.g. Unsloth, cloud-based methods).

Python Developer Duration: 6-month contract Day Rate: £425 (Outside IR35) Location: Remote - UK Based Client Start Date: ASAP Are you actively looking for a new Python contract? A fast-growing AI start-up is looking for Python engineers to help deliver AI-driven workflows and virtual agent systems for their customers. This is a short-term, hands-on role to support their implementation team while they scale. Discussions for an extension will likely happen. What you’ll do: • Build and configure production-ready AI workflows, • Work with Python, AWS, CI pipelines, • Get involved in workflow orchestration (Airflow/Temporal), • Work with analytics databases (ClickHouse / SQL), • Collaborate closely with an implementation team, guided by a staff engineer Requirements: • Strong Python skills, • Experience shipping production workflows, • Fast, practical, and delivery-focused Python Developer Duration: 6-month contract Day Rate: £425 (Outside IR35) Location: Remote - UK Based Client Start Date: ASAP

Machine Learning Engineer Fully Remote - UK based Up to £90,000 + Benefits About the Role We are working with a fully remote gaming and entertainment business that is scaling its data and machine-learning capabilities. With strong backing for data-driven decision-making, they are now looking for a Machine Learning Engineer to help operationalise, maintain, and optimise their ML systems across the organisation. This position is ideal for someone who is strong technically, resilient, enjoys problem-solving in ambiguous environments, and wants to work closely with both Data Scientists and Engineers. Key Responsibilities • Deploy, productionise, and monitor machine-learning models across the business., • Maintain and improve ML infrastructure to ensure high reliability, scalability, and runtime performance., • Collaborate with data scientists to ensure smooth model handover from prototype to production., • Work alongside data engineers, supporting but not owning data-engineering pipelines., • Build tooling, automation, and monitoring systems to support long-term ML lifecycle management., • Ensuring live models perform consistently in a high-volume environment., • Streamlining the deployment process and improving ML observability., • Supporting automated decision systems across game-economy and player-behaviour use cases. What We’re Looking For • Experience deploying, monitoring, and maintaining ML systems in production environments., • Strong understanding of cloud platforms (GCP preferred) and containerisation/orchestration tools., • Solid coding ability, with experience building reliable and scalable infrastructure., • Excellent problem-solving skills and comfort operating within a fast-moving environment., • No strict requirements on years of experience or academic background If this looks of interest, please apply below.

hackajob is collaborating with Kainos to connect them with exceptional tech professionals for this role. As a Lead AI Engineer at Kainos, you will deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will involve hands-on technical delivery, collaborating with customers to translate business challenges into trustworthy AI solutions and ensuring responsible AI practices throughout. As a technical mentor, you will foster a culture of innovation, continuous learning, and engineering excellence. It is a fast-paced environment, so it is important for you to make sound, reasoned decisions. You will do this whilst learning about new technologies and approaches, with talented colleagues that will help you to develop and grow. You will support your colleagues and more junior developers, providing direction support as you solve challenging problems together. Minimum (essential) Requirements • Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection)., • Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc)., • Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker., • Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data., • Understanding of responsible AI principles, model interpretability, and ethical considerations., • Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost)., • Experience with data storage for AI, vector databases, semantic search, and knowledge graphs., • Contributions to open-source AI projects or research publications., • Familiarity with AI security, privacy, and compliance standards e.g. ISO42001.

Job Title: Senior Cloud Platform Architect (GCP and Azure) Location: Bristol, Leeds, Halifax, Manchester, Edinburgh- 2Days/week Onsite Duration: 6months+ Contract Inside IR35 500GBP/Day The Role We're looking to recruit Senior Cloud Platform Architect to be part of our Public Cloud Platform and help achieve our mission to provide compliant and efficient Google Cloud Infra, product and DevOps capabilities for the Group and drive innovation to enable customers to have rapid and seamless Google Cloud Adoption and build their business journeys more scalable, resilient and efficient . Your role will be part of a cross-disciplinary feature team in addition to being a highly experienced member of our wider Lloyds engineering team delivering change. Your role as a Cloud Platform Architect involves supporting teams with modern DevOps solutions, curating scalable GCP Cloud Products as IaaC, defining cloud patterns, modern ways of Cloud Engineering. You'll learn new skills, technologies and approaches to software development as well as benefiting from a culture that celebrates diversity, equal opportunity. Your responsibilities: • Architect and optimize Cloud Landing Zones for GCP and Azure environments ensuring scalability, security, and compliance., • Design and implement multi-cloud platform solutions leveraging GKE (Google Kubernetes Engine) and AKS (Azure Kubernetes Service)., • Define and enforce cloud governance frameworks, including identity, access management, and network security policies., • Refactor and standardize Infrastructure as Code (IaC) templates using Terraform / Terraform Cloud for reusable, modular deployments., • Implement policy-as-code guardrails for compliance using Sentinel or OPA., • Drive Kubernetes cluster architecture, workload orchestration, and service mesh integration (Istio)., • Collaborate with DevOps teams to integrate CI/CD pipelines for automated infrastructure and application deployments., • Optimize cloud resource utilization and cost through proactive monitoring and architectural improvements., • Develop automation scripts and workflows using Python for operational efficiency., • Lead migration of legacy workloads into modern cloud-native architectures., • Provide technical leadership and best practices for Cloud Platform Engineering across GCP and Azure ecosystems. Your Profile Essential skills/knowledge/experience: • Proven experience as a Cloud Architect with hands-on expertise in GCP and Azure., • Strong knowledge of Kubernetes, GKE, and AKS for container orchestration., • Expertise in Landing Zone design and optimization for enterprise-scale deployments., • Advanced skills in Terraform / Terraform Cloud for IaC and automation., • Familiarity with CI/CD tools (Jenkins, GitHub Actions, Harness)., • Proficiency in Python scripting for automation., • Understanding of policy-as-code frameworks (OPA, Sentinel) and cloud governance., • Certifications: GCP Professional Cloud Architect, Azure Solutions Architect Expert, Kubernetes Certified., • Good to have: Experience with IDE platforms for Cloud Engineering (e.g., Backstage). Desirable skills/knowledge/experience: • Looking for Senior Engineering Skills as GCP Cloud SMEs who has contributed also as a Technical Consultant in guiding Design, Architecture and Strategy. Bringing in thought leadership in driving innovation, best practices, • Good communicator, collaborator and Leader with experience on working with multiple organizational stakeholders. Priyanka Sharma Senior Delivery Consultant Office: 02033759240 Email:

Multi-Agent LLM Systems Remote (MUST BE IN EUROPE) We’re partnering with a venture-backed startup led by a founder who has built and taken two technology companies to IPO, now assembling a world-class team to tackle one of the most impactful problems in applied AI. The company is developing a voice-enabled AI copilot used by professionals to eliminate the friction from documentation and decision-making, a product with genuine, real-world impact that’s already being used in production environments. They’re now looking for a Senior/Staff AI Engineer to own and evolve the core “brain” service behind this assistant, the system that powers reasoning, retrieval, and dialogue in real time. Interview Process: 1️⃣ Intro call where we talk about the role. 2️⃣ Technical discussion with the Head of AI. 3️⃣ Deep-dive session with a Backend Engineer and ML Engineer from the team. 4️⃣ 30-minute conversation with the Founder. Why This Is Worth Your Time • Real ownership: You’ll be the architect behind a core AI system, not a feature contributor., • Fast-moving environment, • Immediate impact: Your code will run in production and support real users from day one., • Technical depth: Multi-agent reasoning, voice-streaming, RAG optimisation and all in one system., • Flexible setup: Remote across the EU, with optional co-working in London or Barcelona. What you’ll do • Obsessive about latency, you think in milliseconds, optimise for concurrency, and understand the trade-offs between speed, cost, and model performance., • Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate., • Develop FastAPI-based microservices optimised for low latency and high reliability., • Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation., • Integrate real-time voice interfaces (STT/TTS, WebRTC, LiveKit) into intelligent conversational flows., • Instrument and evaluate system performance using observability and model-faithfulness metrics. What we’re looking for • Proven ability to build and ship agentic or multi-agent frameworks into production., • Expert Python, FastAPI, and asyncio developer., • Practical experience with LangChain, Autogen, or custom orchestration layers., • Startup mindset: ownership, speed, and pragmatism over perfection. Bonus points • Experience working with voice or streaming systems (STT/TTS, WebRTC, LiveKit)., • Exposure to evaluation tooling, LLM-as-judge setups, or agent benchmarking., • Background in healthtech, fintech, or other compliance-heavy sectors.

We are seeking a highly skilled and innovative Agentic AI Engineer to join our team and drive the development and deployment of cutting-edge generative AI solutions within the Microsoft ecosystem. This position is well-suited for candidates with a background in software engineering, data science, or machine learning who excel at developing production-grade AI applications utilizing Microsoft platforms such as M365, Copilot Studio, and Azure AI Foundry, and have at least one year of relevant experience. Strong software development background with proficiency in Python. • Experience with API development using FastAPI, Flask, or Django., • Knowledge of Docker and containerized deployments., • Hands-on experience with LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral., • Expertise in applying prompt engineering techniques to improve model performance and reliability., • Experience in implementing robust evaluation frameworks and Responsible AI (RAI) practices., • Familiarity with Microsoft GenAI/Agentic AI ecosystem such as M365, Copilot Studio and Azure AI Foundry., • Strong understanding of software engineering principles and best practices., • Ability to work in agile environments and collaborate with cross-functional teams. You'll stand out if you also meet any of the following: • You are good at prototyping and experimenting with emerging technologies to assess feasibility and impact., • You have knowledge of vector databases, RAG architectures and their integration into enterprise systems, • You have experience with GenAI development frameworks or orchestration tools such as Semantic Kernel, AutoGen, LangGraph, LangChain, or PromptFlow., • You are familiar with core agent communication protocols, including MCP or A2A., • You are a person who loves to stay current with the latest advancements in GenAI, LLMs, and AI frameworks., • You are Microsoft Certified in Azure AI Engineer Associate or Azure AI Fundamentals. 🛠️ Qualifications • Bachelor's in computer science, data science, or a related field About Avanade: Avanade is the leading provider of innovative digital, cloud, and advisory services, industry solutions, and design-led experiences across the Microsoft ecosystem. The company was founded 25 years ago as a joint venture between Accenture and Microsoft. Back then, digital transformation, automation, and AI weren’t mainstream topics—Microsoft was primarily known for Office 365. But Avanade evolved with the times and is now the number one transformation leader within the Microsoft ecosystem. We have a team of 61,000 professionals in 26 countries. We’re a truly global company with a strong local presence— what I like to call “GLOCAL”: making global impacts on a local level.

🚀 AWS Data Platform Engineer | SC Cleared | Permanent We’re supporting a well-established UK consultancy that specialises in delivering secure, large-scale cloud and data platforms within highly regulated environments. They’re looking to hire an AWS Data Platform Engineer to help design, build, and run robust AWS-native data infrastructure. This is a permanent role for someone who enjoys working close to complex data ecosystems, automation, and cloud security — and who thrives in collaborative, delivery-focused teams. What we’re looking for: • Strong hands-on experience with AWS data services, • Solid Infrastructure as Code experience (Terraform), • Experience with orchestration and CI/CD tooling, • Good scripting skills (Python / SQL / Bash), • Strong understanding of AWS security, IAM, and networking, • Comfortable operating in Agile, delivery-led environments Key requirements: • Active SC Clearance (essential), • Permanent role, • Ideally you will be based around Manchester or London and work hybrid model, but remote is possible for candidates willing to travel to offices or client sites as required., • Available immediately (ideal) or up to 2–3 weeks’ notice max Salary guidance: • Mid level: £45k–£60k This is a great opportunity for an engineer who wants stability, technical depth, and the chance to work on meaningful, secure data platforms without constant project churn. 📩 If you’re curious and meet the clearance requirement, feel free to apply!

Position Summary Be part of the mission to keep the UK safe. We work with Defence & Security clients on some of the most ambitious technology programmes in the country. Our teams are growing across Technology and Transformation — and if you hold UK DV-level Security Clearance, we’d love to hear from you. The Opportunity We’re looking for an experienced Senior Technology Consultant to help digitise defence — combining modern innovation with traditional military functions. You’ll work with clients to solve complex technology challenges, shape cloud strategies, and deliver scalable, secure environments for mission-critical system Key Requirements All applicants must hold active UK DV (Developed Vetting) Security Clearance. Core consulting capabilities: • Strong ability to provide pragmatic, clearly articulated solutions to complex business challenges, • Proven experience managing workloads, meeting deadlines, and delivering tangible results, • Confident communication skills with both technical and non-technical audiences, • Experience leading teams and managing deliverables, • Ability to assess and select vendors/products, • Strong understanding of cloud migration and architecture We’re looking for candidates with skills in one or more of the following areas: Cloud Architecture & Engineering • Cloud platforms: AWS, Azure, Google Cloud Platform, or OCI, • Container technologies (Docker, Rocket) and orchestration (Kubernetes, OpenShift, Rancher, Swarm), • Infrastructure as Code (Terraform, CloudFormation, ARM, GCP CDM), • CI/CD and cloud automation tooling, • DevOps philosophies and toolchains, • Linux and Windows automation frameworks (Ansible, Puppet, PowerShell, etc.), • Version control and deployment tools (Jenkins, SVN, GitHub), • Awareness of cloud security, performance, and non-functional requirements Cloud Consulting • Defining and delivering Cloud Strategy and Operating Models, • Developing business cases for cloud investment, • Product and service selection for cloud solutions, • Leading agile ceremonies and stand-ups, • Architecting and delivering cloud platforms, • Understanding and advising on emerging cloud technologies and challenges, • Maintaining strong relationships with cloud vendors (AWS, Azure, GCP) Technical Authoring • Translating architectural information into clear, technical documentation for engineering and development teams, • Publishing and maintaining network documentation using tools like Git or markup-based repositories, • Managing technical decision processes and facilitating backlog discussions About the Business – Technology and Transformation Distinctive thinking, deep expertise, and a collaborative mindset — that’s what defines us. Our Defence and Security teams support clients to make the UK a safer place. From organisational change and programme management to advanced technology integration, we help clients deliver their mission through innovation and precision. Location and Working Model You’ll be based in Bristol, London, or Manchester, with hybrid working. We understand the importance of balance - so you’ll have the flexibility to work in the office, remotely, or on client sites as needed. Collaboration and connection remain key, but we support adaptable work styles that help you perform at your best.

At Orange Logic, we’ve been solving complex content challenges for over two decades—driven by innovation, curiosity, and a passion for impact, our intelligent Digital Asset Management (DAM) system, Orange Logic Platform, empowers organizations across industries to manage, access, and leverage their digital assets more effectively. We’re not just building powerful software—we’re building a team of bold thinkers, collaborators, and problem-solvers who care deeply about delivering real value. The DevOps Engineer introduces processes, tools, and methodologies to balance needs throughout the software development life cycle, from coding and deployment to maintenance and updates. Your Role at Orange Logic: • Infrastructure provisioning, optimization and management., • Cloud architecture & system administration., • Manage and improve the observability stack (metrics, logs, traces, alerting, visualization)., • Dealing with security requirements and automations proposing a good balance., • Acts as the DevOps advocate; helps evangelize and educate the DevOps way across the organization., • Develop new system and application plans to ensure operational reliability., • Assist in managing and maintaining a network of hosted servers., • Enforce / help about security good practices at dev level to prevent breaches., • Participate to optimize cloud costs. Ideal Qualifications: • Experienced Infrastructure as Code with CloudFormation/Terraform., • Experienced on containers approach with Docker (Linux and Windows)., • A Subject Matter Expert on cloud infrastructure (e.g. AWS, Google Cloud, Azure)., • Experience with CI/CD pipelines (Jenkins, TeamCity, Azure Pipelines) and ElasticSearch, • Experience with configuration management tools (e.g. Chef, Puppet or Ansible)., • Experience in cloud native approach and containers orchestration tools (e.g. Kubernetes)., • Proficient with Windows/Linux systems using a terminal (e.g. Bash, Powershell)., • Hands-on experience with developer toolset and practices such as using source control, giving and receiving code reviews, writing unit tests and familiarity with agile principles., • Strong understanding of common system architecture, provisioning and automation. Perks of joining the team: • Competitive compensation and benefits designed to support you now and as you grow, • Remote-first culture that values flexibility, trust, and work-life balance, • Join a high-growth company where your work directly shapes the product, the team, and your long-term career trajectory How to get started: If you’re up for the challenge to be part of a growing DevOps team we’d like to hear from you. Apply today! Note: Orange Logic only communicates with candidates through official company email addresses ending in @orangelogic.com or directly via LinkedIn from an official Orange Logic Talent Acquisition employee. We do not conduct interviews via text message, nor do we ever ask candidates to purchase equipment or provide payment information at any stage of the hiring process. By submitting this application, I certify that all information provided herein is true, accurate, and complete to the best of my knowledge. I understand that any false or misleading information may result in disqualification from consideration or, if discovered after acceptance, may lead to immediate dismissal. Orange Logic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all our employees. We respect your privacy. Learn more about how we handle applicant data in our ___.

TalentCo are delighted to be partnering with an established PE-backed tech company looking to hire several high-calibre AI Engineer into their UK business, as they build a new Conversational AI platform from the ground up. These hires will be based predominantly from home, with occasional trips to their HQ just north of London, but with plenty of flexibility to suit individual circumstances. The client are developing a low-code, multi-tenant platform that enables large enterprises to design, build and deploy AI agents capable of handling both single-step LLM tasks and complex multi-step agentic workflows. As AI Engineer you will: • Architect and implement the LLM, agentic and RAG modules that power the platform’s low-code environment., • Build primitives, abstractions and orchestration components that allow clients to construct robust agentic workflows with deterministic and probabilistic behaviours., • Develop scalable backend services for multi-tenant execution of AI agents, including concurrency management, task routing and resource control., • Fine tune and evaluate LLMs and SLMs for enterprise use cases such as knowledge automation, summarisation, classification, conversational agents and multi-step reasoning., • Deploy LLM-based applications and agentic workflows at scale, with practical awareness of compute cost modelling, latency trade-offs, container orchestration and distributed systems patterns. We want to hear from you if: • You have 2+ years of hands-on experience building production applications, with at least 1 year as an AI Engineer or ML Engineer shipping AI products and features., • You're an expert when it comes to backend development using Python and you're proficient in modern web technologies, especially TypeScript., • You have an understanding of AI-powered applications, including LLMs, chat interfaces, and agentic workflows or strong desire to build AI products from scratch., • Hands-on experience building and deploying LLM-based applications, including knowledge of tokenisation, prompt optimisation, model selection and evaluation methods., • Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures. What do they offer? • Salary between £90k-£120k, • Comprehensive benefits package, • Remote-first setup with occasional visits to North London HQ, • Work from anywhere policy

Global University Systems is building a modern AI platform to power how our universities recruit, teach, support, and serve students. The Director of AI will lead this transformation, turning promising ideas into production-grade AI solutions that create real value for students and staff. This role owns the AI roadmap end-to-end: from identifying high-impact use cases, to running rapid experiments, to scaling successful solutions across multiple Higher Education Institutions. What you’ll do: Set vision and strategy • Own and continually refine the AI initiatives portfolio and roadmap for the group., • Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance., • Run time-boxed PoCs (2–8 weeks) and MVPs (8–16 weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives., • Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services., • Design experiments, test hypotheses, and iterate quickly, ensuring human-in-the-loop for critical decisions such as admissions triage or student risk flagging., • Take validated MVPs into production with robust architecture, integration patterns, security controls, SLAs, and operational runbooks., • Establish MLOps across the university environment, including model registry, CI/CD for ML, feature stores, monitoring for drift, and retraining policies., • Build reusable AI platform capabilities (e.g., orchestration, RAG services, prompt safety, connectors) that support multiple domains such as:, • Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support., • Student Records & Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention., • Timetabling & Operations: demand forecasting, optimization support, and conflict detection., • Teaching & Learning: content summarization, tutoring assistants, accessibility tools, and feedback synthesis respecting academic integrity., • Student Support & Wellbeing: intelligent case routing, early warning signals, and proactive nudges designed with strong ethics and safeguarding., • Research Administration: grant discovery, compliance support, and metadata enrichment., • Implement a practical AI governance framework that includes a use case register, risk scoring, impact assessments, model documentation, and audit trails., • Ensure compliance with GDPR, accessibility standards (e.g., WCAG), information security policies, and emerging AI regulations., • Partner with Deans, Registry, Admissions, Student Services, IT, Legal and other stakeholders to align on priorities and rollout plans., • Communicate progress through clear dashboards and storytelling, highlighting wins and lessons learned to build momentum., • Lead RFPs and SOWs for AI vendors, data providers, and implementation partners, including evaluation of cost, performance, and scalability., • Track and optimize cloud and AI platform spend, balancing cost with value; negotiate campus-wide licensing where beneficial. What you bring: Education • Bachelor’s or Master’s degree in Data Science, Computer Science, Business Analytics, or a related discipline. Knowledge and skills Essential • Product and outcome mindset: frames problems as hypotheses, focuses on measurable impact, and is willing to stop or pivot when evidence is weak., • Delivery excellence: strong Agile practices, risk-based planning, and disciplined stage-gates from idea to production., • Technical fluency: able to bridge data science, engineering, security, and business stakeholders, and make informed technical decisions., • Responsible AI and data literacy: understands and embeds ethics, privacy, and accessibility by design., • Experience with major cloud and AI stacks such as Azure OpenAI / OpenAI, Azure ML, Databricks, Kubernetes, and Docker., • Familiarity with data platforms such as Azure Data Lake, Synapse/ADF, Delta Lake, and messaging platforms (e.g., event hubs, service bus)., • Exposure to MLOps and observability tools (e.g., MLflow/model registry, GitHub Actions, Prometheus/Grafana, Evidently AI)., • Knowledge of integrating with SIS (Banner/Workday Student), LMS (Moodle/Canvas), CRM (Salesforce), ERP (Oracle/Workday), and IdP (Azure AD)., • Comfort with collaboration and reporting tools such as Jira/Azure Boards, Confluence, and Power BI. Experience Essential • 6+ years in IT delivery, product, or program leadership roles, including at least 3 years leading AI/ML or advanced analytics initiatives end-to-end., • Proven track record running Agile PoCs and MVPs and scaling them into production within complex organizations., • Strong understanding of AI/ML techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices., • Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices., • Familiarity with higher education processes and integrations across SIS, LMS, CRM, and ERP environments., • Knowledge of data privacy, accessibility, security, and Responsible AI in academic or similarly regulated contexts., • Experience designing or operating an AI platform or shared AI services used across multiple domains or business units., • Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI., • Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL)., • Relevant certifications such as Agile/Scrum (PSM/CSM), Azure AI Engineer/DP-100, PMI-ACP/SAFe, or security/privacy certifications. If you are excited by the opportunity to shape the future of AI in higher education and deliver impact at scale, we encourage you to apply and join us on this journey.

Senior Data Platform Engineer (Azure | Terraform Expert) Location: Remote / London Office if preferred Type: Contract £750 a day (Inside IR35) - Initial 3 month About the Role We are seeking a Senior Data Platform Engineer with deep, hands-on Terraform expertise to design and build enterprise-grade Azure infrastructure using Infrastructure as Code as a core discipline. This role is not a generalist cloud engineering position — it requires someone who can lead Terraform design, create highly reusable modules, manage complex state and environments, and embed security, governance, and observability directly into code. You will be a key technical authority for Terraform across our Azure Data and AI platforms. What You’ll Be Doing In this role, you will: • Own and lead Terraform-based infrastructure design for Azure, ensuring scalability, security, and compliance by default., • Develop and maintain advanced Terraform modules, standards, and patterns used across multiple teams and environments., • Automate Azure platform deployments using Terraform, including:, • Azure Data Factory, • Synapse Analytics, • Data Lake & Storage, • Key Vault, • Azure networking and AI/ML services, • Implement and manage Terraform state, backends, workspaces, and strategies for drift detection and remediation., • Build and maintain CI/CD pipelines (Azure DevOps, GitHub Actions) with Terraform plan/apply workflows, approvals, and policy enforcement., • Embed observability (monitoring, logging, alerting) directly into infrastructure code., • Design and implement secure-by-design architectures, including:, • Private Endpoints and private networking, • Managed identities and Key Vault integration, • Application Gateways and network security controls, • Act as a Terraform subject-matter expert, supporting and mentoring engineers and influencing platform standards., • Work closely with data engineers, architects, and stakeholders to enable reliable Azure data and AI platforms. What We’re Looking For Essential Experience (Must-Have): • 5+ years in Platform or Cloud Engineering, with a strong focus on Azure., • Expert-level Terraform experience, including:, • Advanced HCL usage and module authoring, • Remote state management and backends, • Environment and workspace strategy, • Lifecycle management and dependency orchestration, • Handling large, multi-environment Terraform estates, • Proven experience deploying Azure Data Platform services using Terraform:, • Azure Data Factory, • Data Lake / Storage, • Synapse Analytics, • AI / ML services, • Strong experience building Terraform-driven CI/CD pipelines using Azure DevOps, GitHub Actions, or similar., • Proficiency in PowerShell, Bash, or Python for automation and tooling., • Deep understanding of Azure networking, IAM, and security, including private endpoints and app gateways., • Experience implementing governance, security controls, and observability through code., • HashiCorp Terraform Associate (004) or Terraform Professional, • AZ-400 (Azure DevOps Engineer), • Azure certifications such as:, • Azure Solutions Architect

Company Description Pivotal is the UK’s leading mortgage and protection advice provider. Backed by LSL and Pollen Street Capital, we’ve rapidly built a nationwide network of industry-leading specialist teams with over 1,000 talented people - together delivering annual revenues exceeding £100 million. Our scale is matched by our specialism. Pivotal’s adviser teams cover every corner of the market - from mainstream residential to second charge, commercial, bridging, buy-to-let, landlord, protection, and home insurance. We are here to outperform established players by combining next-generation technology, data, and AI with the expertise and ambition of our people. As a people-first business, our colleagues excel, grow, and feel genuinely valued as we deliver more together. Our entrepreneurial partners lead award-winning teams that deliver exceptional advice with speed, precision, and care. We’re obsessed with the client experience - moving fast, challenging convention, and setting new standards for service. Naturally curious and driven by progress, we value learning more than what we know and never stop striving for better. At Pivotal, this is not just business – it is our business. We make smart decisions, act with ownership, and pursue excellence in everything we do. Role Description We’re looking for a hands-on Client Process AI Automation Expert who can rapidly design and deliver automation for client administration processes. You’ll build desktop robotic process automation flows using Microsoft Power Automate, Copilot Studio and Anthropic Claude Cowork to streamline manual workflows. Responsibilities will include: • Automate end‑to‑end Power Automate workflows using cloud/desktop flows and process mining to streamline approvals, document handling, data processing, and Microsoft 365 integrations., • Create AI‑driven copilots in Copilot Studio that orchestrate multi‑step processes, integrate with enterprise systems, and reduce manual administrative effort., • Use Claude Cowork for rapid desktop automation, delegating tasks such as file organisation, call tracking, data extraction, and report generation through autonomous multi‑step execution. Skills And Experience: • Microsoft Power Automate expert: PL-400 or PL-600 certified expert with a track record of creating workflow automations., • Microsoft Copilot Studio: design and deploy business process agents combining low‑code AI orchestration, multi‑step workflow automation, and seamless integration across desktop and Microsoft 365 apps., • Claude Code and Cowork: Expertise in deploying Claude Cowork autonomous desktop‑automation workflows by leveraging its ability to organise files, extract and process data, execute multi‑step tasks, and navigate the UI like a human to automate complex operational work tasks., • Driven: Works well under pressure at a pace, has the ability to problem solve and remains focused during times of challenge and ambiguity, • Adapting to Change: Demonstrates openness and a positive attitude to change and embraces new processes, systems, and ways of working when appropriate., • Forward Thinking: Keeps an interest on latest ideas, trends and processes on how to efficiently use new tech tools, • Collegiate Team Player: Thrives in collaborative environments, adds value to team dynamics, and consistently provides positive help and support to teamwork and aids team culture., • Continuous Improvement: Seeks stakeholder feedback to identify areas for improvement. Proposes adjustments to procedures based on learned experiences and outcomes. Proactively identifies opportunities to enhance the value of services Our Benefits We offer all employees a comprehensive benefits package that focuses on their whole well-being. This includes hybrid working, a base salary up to £60k, 8% pension, 25 days holiday, and a tightly knit, people-first, professional working culture. Career progression paths are actively offered, as this is a very visible role that can lead to a financial services mortgage or protection advisor role.

Wenham Carter is proud to be supporting a global leader in industrial software on a confidential search for a senior engineering leader: VP of AI Platform Engineering. Our client is a leading industrial-software business that delivers engineering, operations, and asset-performance solutions used by major operators worldwide. They combine domain expertise with a cloud-first platform strategy and work with strategic cloud providers to deliver scalable, secure AI services for complex industrial environments. The role You will define and deliver the organisation’s core AI Services (orchestration, APIs, SDKs, integration toolkits) and lead the technical strategy to embed AI-driven orchestration across their software portfolio. This is a hands-on senior leadership role: you will design the platform, own non-functional requirements (reliability, security, scalability, compliance), drive adoption internally and externally, and build a small, high-performing global team that moves fast with a start-up mentality. What you’ll do • Define and deliver the Core AI Services platform (orchestration, APIs, SDKs, integration toolkits)., • Lead the design and delivery of AI-driven orchestration layers across the software portfolio., • Own platform non-functional attributes: security, reliability, availability, compliance, and global scale., • Lower barriers to integration - deliver an excellent developer experience (APIs, SDKs, documentation, sample apps)., • Collaborate closely with product, cloud, and partner teams to industrialise AI capabilities., • Recruit, inspire, and lead a high-performing global engineering team with a pragmatic, product-led, start-up mindset. Core skills & qualifications • 20+ years in software product development, with 10+ years in senior engineering leadership roles, driving cloud-native platforms or AI services., • Proven track record building distributed, secure, and scalable cloud/AI services (experience with major cloud providers preferred)., • Solid background in AI/ML technologies, ideally with experience integrating LLMs or advanced AI models into production orchestration layers., • Strong knowledge of public API design, service lifecycle management, and developer experience best practices., • Familiarity with emerging AI standards and agent protocols., • Practical understanding of AI governance and regulation, with demonstrable experience implementing responsible-AI practices., • Exceptional stakeholder engagement, cross-functional collaboration, and communication skills. What success looks like (first 12–18 months) • The core AI services are production-grade: scalable, reliable, available, and secure., • Strong adoption of services by internal teams and external partners., • Excellent developer experience for AI Services APIs (reduced time-to-value, curated SDKs, documentation, onboarding)., • Compliance with AI governance and regulatory requirements., • A motivated, scalable Core AI Services team with clear growth, retention, and performance metrics. Why this role matters This is a high-impact leadership position where you will define how AI is delivered to industrial customers at scale. You’ll work at the intersection of industrial expertise and state-of-the-art AI - shaping platform architecture, partner strategy, and engineering culture for long-term competitive advantage. The company’s industrial focus and cloud partnerships make this a rare opportunity to ship AI that materially improves uptime, safety, and efficiency for asset-intensive organisations. Practicalities • Confidential senior leadership role; flexible global location with some travel to core offices expected (primarily UK and US)., • Competitive senior-leadership package (base + bonus + long-term incentives) commensurate with experience. If you are a platform leader who has built secure, scalable cloud AI services for complex enterprise customers - and you want to lead a small, ambitious team delivering industrial AI at scale - I’d like to talk.

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