12 jobs found

Join a leading global investment and wealth management organisation investing in technology to transform how it serves clients and drives business growth. We're looking for a hands-on Principal Engineer combining software engineering, data expertise and emerging AI capabilities to build scalable APIs, trusted data products, robust pipelines and intelligent agent-enabled tools. Principal Full-Stack Software Engineer Python, Data & AI London - 3 days onsite £90-110k + bonus Permanent Consultancy hire into a globally recognised financial services institution The opportunity Join a leading global investment and wealth management organisation investing in technology to transform how it serves clients and drives business growth. We're looking for a hands-on Principal Engineer combining software engineering, data expertise and emerging AI capabilities to build scalable APIs, trusted data products, robust pipelines and intelligent agent-enabled tools. You'll turn complex business requirements and data into secure, reusable technology that streamlines workflows, empowers teams and delivers measurable commercial impact within a highly regulated environment. What you'll do Engineer & integrate: Build production-grade Python services, APIs and enterprise integrations. Drive data engineering: Develop robust data pipelines, models and reusable data products, ensuring data quality, lineage, reliability and accessibility. Enable AI innovation: Build secure tools and data interfaces that allow AI agents to access information and execute workflows safely. Shape technical strategy: Establish scalable software and data architectures, reusable patterns and engineering best practices. Lead by example: Stay hands-on throughout the development lifecycle while mentoring engineers and influencing technical decisions across teams. What you'll bring Extensive software engineering experience, with strong Python, API development and backend engineering skills. Proven data engineering expertise , including data pipelines, modelling, data quality and reusable data products. Experience with Snowflake, SQL, dbt, Azure Data Factory or comparable data technologies. Strong knowledge of distributed systems, cloud platforms, enterprise integration, testing and observability. Exposure to AI agents, tool-calling applications or intelligent workflow automation. Principal-level technical judgement, combining architectural leadership with a pragmatic, delivery-focused mindset. Why this role? An opportunity to influence technology strategy at a globally established financial institution, combining software, data and AI to solve meaningful business challenges. You'll have the autonomy to shape solutions, establish engineering standards and build the reusable capabilities that support the next stage of wealth management growth. Ready to build technology where software, data and AI come together? Let's talk. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

Data Scientist Up to £50,000 - Windsor This is an exciting opportunity to join a growing organisation that is investing heavily in data, analytics and AI. With ambitious plans to further develop its data-driven capabilities, the business is looking for a Data Scientist to play a key role in delivering advanced analytics, machine learning and AI solutions across a range of operational and commercial functions. Working closely with senior stakeholders and the wider data team, you will be responsible for developing predictive models, uncovering actionable insights and helping the business leverage data to improve decision-making. You will have the opportunity to work with modern cloud technologies, large and varied datasets, and emerging AI tools to solve genuine business challenges. This is a highly visible role that combines technical data science expertise with stakeholder engagement, offering the chance to influence strategy, improve business performance and help shape the future direction of data and AI within the organisation. Key Responsibilities Design, develop and deploy machine learning models that deliver measurable business value. Build predictive analytics and forecasting solutions to support strategic planning and operational decision-making. Analyse large and complex datasets to identify trends, opportunities and areas for improvement. Develop scalable analytical solutions that support reporting, insight generation and future AI initiatives. Explore and implement AI-driven use cases, including automation and intelligent decision-support tools. Monitor, evaluate and enhance model performance to ensure ongoing accuracy and effectiveness. Support best practices across data science, model governance and solution delivery. Identify new opportunities to utilise data and AI to drive efficiencies and business growth. Skills & Experience Commercial experience in a Data Scientist, Machine Learning Engineer or Advanced Analytics role. Strong Python skills for data analysis, machine learning and statistical modelling. Advanced SQL skills and experience working with large-scale datasets. Experience developing and deploying machine learning models within production environments. Knowledge of predictive modelling, forecasting, classification or optimisation techniques. Experience working with cloud-based data platforms and modern data architectures. What's on Offer? Salary up to £85,000 plus benefits. Opportunity to contribute to a growing and well-funded data and AI function. Exposure to a diverse range of machine learning, advanced analytics and AI projects. Ability to influence how data science is utilised across the organisation. Collaborative environment with strong leadership support and investment in technology. Clear opportunities for professional development and career progression. This role would suit a Data Scientist, Machine Learning Engineer or Advanced Analytics professional looking to work on high-impact projects where data, machine learning and AI are central to the organisation's long-term strategy.

Job Title: AI & Automation Engineer Location: Eccles, Manchester Salary: Competitive Job Type: Full Time, Permanent Netteam tX is looking for a hands-on engineer to take ownership of our existing Rewst automations, improve their reliability and expand our automation and AI capability across internal operations and customer services. You will inherit live automation assets, stabilise and document them, then build secure workflows, integrations and AI agents that reduce manual effort, improve consistency and create repeatable value. This is an engineering and ownership role, not a service desk position with occasional automation duties. You will work from business problem through design, build, testing and safe deployment, and remain accountable for performance in production. Why Netteam tX? We recognise and develop talent, creating opportunities for people to grow in different directions. Continuous learning, creativity and practical innovation are part of how we work, and we believe our people are what make NetTeam a great business to join. You will work across Service, Professional Services, Cyber, Commercial and Operations, with the opportunity to shape standards, reusable solutions and customer-facing services rather than simply maintain a fixed backlog. Your first priorities: Take structured ownership of the Rewst estate, including workflows, forms, integrations, schedules, credentials, dependencies and known issues. Make critical automations observable, documented, recoverable and supportable. Establish practical source-control, review, testing, release, rollback, alerting and support arrangements. Identify high-value opportunities across service delivery, Microsoft 365, security, onboarding, ticket handling and reporting. What you will own and deliver: Rewst and automation-platform ownership: Own the day-to-day health, administration, support and development of Rewst and the wider automation toolset, including Datto RMM and GetThread. Troubleshoot failed workflows, restore service safely, remove recurring causes and maintain an accurate automation and dependency register. Workflow and integration engineering: Design, build, test and maintain event-driven and scheduled workflows using the platform best suited to the requirement. Develop resilient PowerShell and API integrations with secure authentication, pagination, rate-limit awareness, structured logging, exception handling and rollback. AI agents and intelligent workflows: Deliver practical agents and AI-enabled workflows that use approved knowledge, request approval where needed, record evidence and escalate safely when confidence is insufficient. Design prompts, instructions, tools, actions, grounding sources and evaluation scenarios that produce repeatable, measurable outputs. Security, governance and production reliability: Apply least privilege, environment separation, approved identities, secure secrets, audit logging, change control, monitoring and safe fallbacks. Treat prompt injection, excessive permissions, unsafe actions, sensitive-data exposure, ungrounded output, model drift and uncontrolled consumption as engineering risks. Business discovery, customer solutions and team enablement: Run discovery sessions, translate requirements into designs and acceptance criteria, and support estimates, demonstrations, proposals and Statements of Work. Create runbooks, architecture notes, data-flow diagrams, test evidence and user guidance, and train teams to use solutions and recognise failure conditions. Technology environment : The role spans Rewst, PowerShell, REST APIs, Microsoft 365, Entra ID, Exchange Online, Microsoft Graph, Azure, Intune, Datto RMM, GetThread, Windows and Active Directory, n8n, Power Automate, Make, Copilot Studio, Claude, ChatGPT and Codex. You are not expected to know every platform on day one, but you must be able to choose tools thoughtfully and learn quickly. About you: Skills & Experience: Essential: Experience in automation engineering within an MSP or enterprise environment. Strong PowerShell scripting and automation development skills. Experience with: Microsoft 365 Azure Intune Power Platform RMM and PSA platforms Experience building API integrations and workflow automations. Knowledge of AI platforms and automation technologies. Strong understanding of IT service management processes. Experience implementing governance and change control processes. Excellent problem-solving and analytical skills. Desirable: Microsoft Copilot implementation experience. Azure AI Services experience. OpenAI integration experience. Power Automate advanced development. Logic Apps development. Data analytics and reporting experience. Experience delivering customer-facing consulting engagements. AI governance or responsible AI framework experience. Diversity and Inclusion: We are proactively committed to creating a diverse workforce at Netteam tX. We value diversity and inclusion; we want to attract the best people for all our roles. This is regardless of age, ethnicity, sexual orientation, gender, disability, socioeconomic status or religious beliefs. Other: In line with our recruitment policy and client expectation, some roles will be subject to a basic DBS disclosure. Please click on the APPLY button to send your CV and Cover Letter for this role. Candidates with experience of: Automation Engineer, RPA Developer, AI Engineer, Automation Technician, Low-Code Developer, Low-Code Automation Engineer, Integration Engineer, MSP Automation Engineer, Rewst Engineer may also be considered for this role.

AI Solutions Engineer £90,000 to £105,000 London Hybrid (3 days per week in office) Are you a hands-on AI Engineer who enjoys building and deploying real-world AI solutions rather than simply talking about their potential? We are working with a prestigious international professional services organisation looking for an experienced AI Solutions Engineer to help design, develop and deploy secure, scalable AI solutions across the business. This is an exciting opportunity to play a key technical role in delivering practical AI applications, leveraging Microsoft technologies, large language models (LLMs) and intelligent automation to transform business processes. The Opportunity Opportunity to build and deploy AI solutions with genuine business impact. Work with modern Microsoft AI technologies and enterprise platforms. Influence the adoption of AI across an established international organisation. Collaborate with technical teams and senior business stakeholders. Key Responsibilities Design, develop, deploy and maintain production-ready AI applications. Build AI-powered solutions for document analysis, summarisation, research and workflow automation. Develop intelligent AI agents and integrate them with existing enterprise systems. Leverage Microsoft Copilot Studio, Azure AI Foundry and Azure DevOps. Write robust, maintainable code, primarily using Python. Integrate LLMs, APIs and enterprise data sources into reliable AI applications. Implement effective prompt engineering, grounding and knowledge integration techniques. Ensure AI solutions meet security, data privacy, governance and compliance requirements. Test, monitor, troubleshoot and continuously improve deployed AI solutions. Evaluate emerging AI technologies and develop proofs of concept where appropriate. Skills and Experience Required Proven commercial experience developing and deploying AI solutions into production. Strong hands-on software engineering skills, ideally using Python. Practical experience with Microsoft AI technologies, particularly Azure AI Foundry, Copilot Studio and Azure DevOps. Experience working with LLMs, natural language processing and generative AI applications. Experience integrating AI capabilities into existing applications, business processes and enterprise systems. Understanding of secure software development, data protection and scalable solution architecture. Strong problem-solving skills and the ability to translate business requirements into working technical solutions. Excellent communication skills and a collaborative, delivery-focused approach. Experience within legal, financial or other professional services environments would be advantageous but is not essential. Importantly, this is a hands-on engineering and delivery role, not a purely strategic AI or innovation position. We are particularly interested in candidates who can demonstrate AI solutions they have personally built, deployed and supported in production. If you are passionate about turning AI capabilities into secure, reliable and genuinely useful business applications, we would love to hear from you. Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive workplace where all employees feel valued and respected. We encourage applications from candidates of all backgrounds. Due to the high volume of applications, if you haven't heard from us within 2 working days, please assume your application has been unsuccessful on this occasion.

Senior AI & Integration Engineer - C# / .NET / Azure £70,000-£75,000 Permanent, full-time Hybrid: four days from home, one day in the office An established business is looking for a Senior AI & Integration Engineer to help turn its AI and automation ambitions into practical, production-ready solutions. As its first dedicated AI engineering hire, you will report directly to the IT Director and have the autonomy to shape the technology, standards and engineering patterns behind a new capability. This is a hands-on senior position with technical ownership and mentoring opportunities. You will combine strong C# and .NET development with Azure, APIs and integration engineering, using Copilot Studio and Power Platform where they offer the right solution. The opportunity You will design and deliver secure AI agents, intelligent automation and integrations across a Microsoft-centred technology estate. Projects will connect CRM, finance, payroll, document management and bespoke applications, helping teams access information, process documents and automate business workflows. You will own solutions throughout their lifecycle, from discovery and architecture through development, testing, deployment and ongoing improvement. What you'll be doing Building AI agents that retrieve information, process documents and take controlled actions, with appropriate validation and human approval. Developing APIs, backend services and integration components using C#, modern .NET, ASP.NET Core and Azure Functions. Connecting business applications through REST APIs, webhooks and custom connectors. Creating maintainable automation using Power Automate, Dataverse and Power Platform. Selecting the right approach for each requirement, balancing conventional software development with low-code tools. Implementing secure authentication and access using Entra ID, OAuth 2.0 and managed identities. Establishing reliable testing, monitoring, logging and deployment practices. Helping define technical standards and mentoring colleagues building internal automations. What we're looking for You will bring strong software engineering foundations and experience delivering reliable applications and integrations into production. Your background should include: Strong C# and modern .NET development, including ASP.NET Core Web APIs and backend services. Azure development, including Azure Functions. REST APIs, HTTP, JSON, OpenAPI/Swagger and webhooks. Integration patterns covering authentication, pagination, rate limits, retries and exception handling. Microsoft Entra ID, OAuth 2.0, application permissions and secure secrets management. Git, CI/CD pipelines, automated testing, monitoring and production support. Clear communication skills and the confidence to own technical decisions. Experience that would be useful Hands-on experience with Copilot Studio, Power Automate, Power Fx or Dataverse would be particularly valuable. Strong .NET and Azure engineers with the aptitude and enthusiasm to develop these skills are also encouraged to apply, with support available. Other useful experience includes: Microsoft Graph, Teams and SharePoint integrations. Azure AI services, document processing and retrieval-based solutions. Logic Apps, API Management, Service Bus and Key Vault. TypeScript, JavaScript or Python. Docker, infrastructure as code or Model Context Protocol. Salary & benefits £70,000-£75,000 salary. Four days working from home- one office Flexible working hours. Competitive pension scheme. Health cash plan. If you enjoy combining software engineering with practical AI and automation, this is an opportunity to shape a new capability and see your work make a direct impact across an established business. Apply now or contact Adria Solutions for a confidential discussion. Senior AI & Integration Engineer - C# / .NET / Azure

AI Engineer We're seeking an innovative AI Engineer to join a forward-thinking organisation undergoing an exciting AI and digital transformation journey. This is an opportunity to play a key role in designing, deploying, and governing enterprise AI solutions that drive operational efficiency, automation, knowledge management, and smarter decision-making across the business. The Role As an AI Engineer, you will be responsible for the design, implementation, and ongoing management of AI platforms, intelligent agents, and supporting infrastructure. You'll combine hands-on technical delivery with strategic input, ensuring AI solutions are scalable, secure, and aligned with organisational objectives. Key Responsibilities AI Platform & Infrastructure Design, implement, and maintain enterprise AI infrastructure across cloud and on-premise environments. Develop scalable architectures for AI workloads, including model hosting, vector databases, orchestration layers, APIs, and data pipelines. Integrate AI platforms with business-critical systems, data platforms, collaboration tools, and operational applications. Produce and maintain architecture documentation, operational procedures, and technical standards. AI Agents & Automation Design, develop, and manage AI agents, copilots, and workflow automation solutions. Build Retrieval-Augmented Generation (RAG) applications leveraging internal business data. Develop intelligent assistants supporting operational, engineering, customer service, and business functions. Implement multi-agent workflows and orchestration frameworks. Monitor and optimise AI solution performance, reliability, security, and cost efficiency. Governance & Compliance Ensure AI solutions align with security, governance, and compliance requirements. Support data governance, privacy, risk management, and lifecycle policies for AI-enabled systems. Maintain standards and documentation relating to AI usage, access control, and governance frameworks. Contribute to responsible AI practices and organisational AI governance initiatives. Stakeholder Engagement Partner with teams across the organisation to identify and prioritise AI opportunities. Support user adoption, training, and change management activities. Translate complex technical concepts into clear business language for non-technical stakeholders. Act as a trusted advisor on AI technologies and best practices. About You Essential Skills & Experience Proven experience designing, building, and deploying AI/ML solutions within enterprise environments. Strong Python development skills. Experience integrating and consuming REST APIs. Hands-on experience with Docker and Kubernetes. Knowledge of vector databases, embeddings, RAG architectures, and LLM orchestration frameworks. Experience with cloud technologies, networking, identity and access management, and security controls. Experience integrating AI solutions with Microsoft 365 technologies, collaboration platforms, and SQL-based databases. Desirable Experience AI governance and responsible AI frameworks. MLOps and LLMOps tools and methodologies. Prompt engineering and model fine-tuning. Agentic AI frameworks such as LangGraph, AutoGen, or CrewAI. AI orchestration platforms such as n8n or similar technologies. Knowledge graph technologies. Data lake and analytics platforms. Experience supporting organisation-wide AI adoption programmes.

Senior Robotics Software Engineer - Oxfordshire £100,000-£120,000 An exciting opportunity to develop cutting-edge robotic technology and play a key role in shaping the future of intelligent automation. Arden Resourcing is working with an innovative technology business looking to appoint an experienced Senior Robotics Software Engineer to join its growing engineering team. This is an opportunity for someone who enjoys solving complex engineering problems, developing sophisticated software and seeing their work come to life in real-world robotic applications. You'll be involved in creating intelligent, autonomous systems, taking ownership of key software developments and helping establish the technical direction of future projects. Working alongside specialists across software, electronics and mechanical engineering, you'll help deliver high-performance robotic solutions that are robust, scalable and ready for real-world deployment. The position would suit an experienced engineer who combines strong hands-on programming skills with a broader understanding of robotics, system architecture and technical leadership. The Role You'll play an important part in developing and improving the software behind advanced robotic platforms, with responsibilities including: Designing and building sophisticated robotics software, covering areas such as autonomous navigation, environmental awareness, movement and control. Taking projects from initial concepts and proof of concept development through simulation, testing and deployment into operational environments. Developing efficient, maintainable software capable of supporting complex robotic applications. Working closely with hardware, electronics and mechanical engineering teams to ensure seamless integration between physical systems and software. Improving software reliability, performance and maintainability through structured testing, peer reviews and engineering best practices. Providing technical guidance to less experienced engineers and supporting their professional development. Contributing to software architecture decisions, future technology planning and wider engineering strategy. Investigating new technologies, development tools and approaches that could improve the capabilities and performance of robotic systems. Skills & Experience We're interested in speaking with engineers who have a strong technical background in robotics and experience delivering complex software solutions. Ideally, you'll bring: 5+ years of commercial experience in robotics software engineering or a closely related technical discipline. Strong programming ability in C++ and/or Python, with experience developing software for complex engineering applications. Practical knowledge of robotics algorithms, particularly in areas such as perception, SLAM, autonomous navigation, motion planning or control systems. Experience working with ROS or ROS2 within robotic software development environments. Familiarity with real-time software development and robotics simulation tools such as Gazebo or NVIDIA Isaac Sim. A good understanding of core robotics principles, including kinematics, dynamics, sensor integration and sensor fusion. Experience contributing to or leading technically demanding software projects from development through to delivery. The ability to work effectively with engineers from different technical disciplines. The Person Beyond the technical skills, we're looking for someone who genuinely enjoys engineering challenges and wants to make a meaningful contribution to the development of advanced robotic technology. You'll be comfortable taking ownership of difficult technical problems, exploring different approaches and finding practical solutions. You'll also be someone who can see the bigger picture, understanding how individual software components contribute to the performance and reliability of an entire robotic system. Strong communication skills, a collaborative approach and the confidence to influence technical decisions will be important. Most importantly, you'll have a genuine interest in robotics, automation and intelligent systems, alongside the ambition to help develop technology that pushes the boundaries of what's possible. Why Consider This Opportunity? This position offers the chance to work on technically challenging robotics projects where your ideas, experience and engineering decisions can have a direct impact. You'll have the opportunity to contribute across the full software development lifecycle, work with engineers from multiple disciplines and play an influential role in the development of increasingly sophisticated autonomous systems.

Senior Enterprise Data & Analytics Manager London, Manchester or Glasgow / Hybrid £90k - £115k + bonus and benefits Are you a senior Data, AI or Analytics leader who can turn the potential of AI into measurable business transformation? This is an opportunity to join a forward-thinking AI Strategy team at the forefront of enterprise AI. You'll work with major organisati ons to move beyond experimentation, helping them embed Generative AI, Agentic AI, intelligent assistants and AI-enabled automation into the way they operate, make decisions and create value. You'll combine strategic thinking, consulting expertise and deep Data & AI knowledge to advise executive and C-suite stakeholders, shape enterprise AI strategies and lead transformation from strategy through to execution. What you'll be doing Lead enterprise AI transformation, identifying and prioritising high-value opportunities, shaping AI strategies, investment cases and roadmaps, and helping organisations progress from experimentation to enterprise-scale adoption. Advise senior stakeholders, acting as a trusted partner to business leaders and C-suite executives while translating complex AI opportunities into clear business outcomes, measurable value and adoption strategies. Design human-centred AI solutions, translating business challenges into AI-enabled products, agentic workflows and intelligent services, while integrating people, AI agents and business processes across customer, employee and operational experiences. Shape enterprise AI and data foundations, including AI-ready data platforms, semantic layers, data products and trusted knowledge assets, alongside architectures that enable AI agents to securely interact with enterprise systems and processes. Establish responsible AI at scale, shaping governance, security, evaluation and operational practices that make AI solutions reliable, safe and continuously improvable in production. Drive commercial and practice growth, leading proposals, RFPs, bids and client pitches, developing propositions and thought leadership, while contributing to recruitment, capability building, campaigns, whitepapers and internal innovation. Lead and develop high-performing teams, coaching talent, fostering inclusive and collaborative environments, and building new Data, AI and Agentic AI capabilities as the technology landscape evolves. What you'll bring Proven senior-level experience leading Data, Analytics and AI transformation, taking organisations from identifying opportunities through to enterprise adoption and measurable business impact. Strong understanding of Generative AI, Agentic AI, Retrieval Augmented Generation (RAG), intelligent assistants and AI-enabled automation, with awareness of major enterprise AI ecosystems such as OpenAI, Google, Anthropic and Microsoft. Experience shaping enterprise AI architectures and AI-ready data foundations, including cloud data platforms, semantic layers, data products, AI evaluation, security, governance and responsible AI. Significant consulting or senior client-facing experience, with the credibility to advise executive and C-suite stakeholders and communicate effectively across business, product and technical teams. Strong strategic and commercial acumen, including proposition development, opportunity shaping, bids and successful client engagement leadership. A track record of building and developing high-performing teams, leading through ambiguity and creating new capabilities in rapidly evolving technology environments. Desirable: Experience with agentic architectures, decision intelligence, human-centred AI operating models, thought leadership, recruitment and practice development, plus relevant Data/AI certifications or innovation experience. If you've held any of these roles or used these technologies/skills, this role could be a great fit: Senior AI Manager, AI Strategy Manager, AI Transformation Director, Senior Data & Analytics Manager, Data Strategy Director, Enterprise AI Consultant, AI Consulting Lead, Data & AI Strategy Consultant, Generative AI, GenAI, Agentic AI, AI Agents, RAG, Retrieval Augmented Generation, Decision Intelligence, Intelligent Automation, AI Operating Models, AI Architecture, Data Platforms, Semantic Layers, Data Products, Responsible AI, AI Governance, Cloud Data, Enterprise AI, OpenAI, Google AI, Anthropic, Microsoft AI. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate £1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.

Senior AI Automation Engineer £100,000-£120,000 London or Birmingham Hybrid - 3 days per week in the office We're looking for a Senior AI Automation Engineer to join a growing specialist AI engineering capability within a major UK company. This is a hands-on engineering role focused on designing and delivering production-grade AI applications, intelligent agents and automated workflows within a large, governed enterprise environment. You'll work across Microsoft Copilot, Python, Power Platform and Azure, combining modern software engineering with AI and workflow automation to build solutions that move beyond proof-of-concept and into real-world production use. The role You'll sit at the intersection of AI engineering, software development and intelligent automation, taking ownership of the technical design and delivery of AI-powered solutions used across the business. Your work will include: Designing and building AI agents and multi-step automated workflows Developing production-grade Python services, APIs and automation pipelines Building solutions using Microsoft Copilot Studio and Power Platform Orchestrating workflows across Copilot Studio, Azure AI / Azure AI Foundry and internal enterprise systems Integrating AI applications with existing platforms through REST/GraphQL APIs and event-driven architectures Developing reusable connectors, tools, services and agent capabilities Designing agent orchestration, tool-use and integration patterns Building CI/CD pipelines and automated testing frameworks Deploying and monitoring AI applications in production Ensuring solutions are scalable, observable, secure and maintainable Leading technical design discussions and code reviews Helping establish engineering standards and supporting the development of more junior engineers What we're looking for We're looking for an experienced engineer who combines strong software engineering fundamentals with practical experience delivering AI and automation solutions. Strong commercial Python engineering experience, including APIs, testing, modular architecture and asynchronous processing Strong experience with Microsoft Copilot / Copilot Studio Strong experience with Microsoft Power Platform and workflow automation Experience building and deploying production AI/LLM applications, agents or AI-powered workflows Experience with Azure OpenAI, Azure AI / AI Foundry or comparable AI platforms Understanding of agentic AI patterns, orchestration, tool use, prompt design and LLM limitations Strong API and systems integration experience, including REST and/or GraphQL Experience designing reusable services, connectors and integration components Microsoft Azure experience across services such as Functions, containers and AI services Strong CI/CD, Git and automated testing experience Experience with Docker, Kubernetes or Azure Container Apps An understanding of production monitoring, reliability and observability Experience with MCP or similar integration patterns, AI governance, prompt evaluation/versioning, event-driven systems or highly regulated environments would be particularly valuable. Why join? This is an opportunity to join an organisation making a significant investment in its internal AI engineering capability. Rather than simply experimenting with generative AI, you'll be responsible for building the engineering foundations that allow Copilot, Python, Power Platform and Azure AI solutions to operate reliably at enterprise scale. You'll have the opportunity to influence architecture and engineering standards while remaining hands-on with the technology and seeing the systems you build adopted directly by users. Senior AI Automation Engineer Salary : £100,000-£120,000 Location : London or Birmingham Working pattern : Hybrid - 3 days per week in the office RSG Plc is acting as an Employment Agency in relation to this vacancy.

Senior AI Automation Engineer £100,000-£120,000 London or Birmingham Hybrid - 3 days per week in the office We're looking for a Senior AI Automation Engineer to join a growing specialist AI engineering capability within a major UK company. This is a hands-on engineering role focused on designing and delivering production-grade AI applications, intelligent agents and automated workflows within a large, governed enterprise environment. You'll work across Microsoft Copilot, Python, Power Platform and Azure, combining modern software engineering with AI and workflow automation to build solutions that move beyond proof-of-concept and into real-world production use. The role You'll sit at the intersection of AI engineering, software development and intelligent automation, taking ownership of the technical design and delivery of AI-powered solutions used across the business. Your work will include: Designing and building AI agents and multi-step automated workflows Developing production-grade Python services, APIs and automation pipelines Building solutions using Microsoft Copilot Studio and Power Platform Orchestrating workflows across Copilot Studio, Azure AI / Azure AI Foundry and internal enterprise systems Integrating AI applications with existing platforms through REST/GraphQL APIs and event-driven architectures Developing reusable connectors, tools, services and agent capabilities Designing agent orchestration, tool-use and integration patterns Building CI/CD pipelines and automated testing frameworks Deploying and monitoring AI applications in production Ensuring solutions are scalable, observable, secure and maintainable Leading technical design discussions and code reviews Helping establish engineering standards and supporting the development of more junior engineers What we're looking for We're looking for an experienced engineer who combines strong software engineering fundamentals with practical experience delivering AI and automation solutions. Strong commercial Python engineering experience, including APIs, testing, modular architecture and asynchronous processing Strong experience with Microsoft Copilot / Copilot Studio Strong experience with Microsoft Power Platform and workflow automation Experience building and deploying production AI/LLM applications, agents or AI-powered workflows Experience with Azure OpenAI, Azure AI / AI Foundry or comparable AI platforms Understanding of agentic AI patterns, orchestration, tool use, prompt design and LLM limitations Strong API and systems integration experience, including REST and/or GraphQL Experience designing reusable services, connectors and integration components Microsoft Azure experience across services such as Functions, containers and AI services Strong CI/CD, Git and automated testing experience Experience with Docker, Kubernetes or Azure Container Apps An understanding of production monitoring, reliability and observability Experience with MCP or similar integration patterns, AI governance, prompt evaluation/versioning, event-driven systems or highly regulated environments would be particularly valuable. Why join? This is an opportunity to join an organisation making a significant investment in its internal AI engineering capability. Rather than simply experimenting with generative AI, you'll be responsible for building the engineering foundations that allow Copilot, Python, Power Platform and Azure AI solutions to operate reliably at enterprise scale. You'll have the opportunity to influence architecture and engineering standards while remaining hands-on with the technology and seeing the systems you build adopted directly by users. Senior AI Automation Engineer Salary : £100,000-£120,000 Location : London or Birmingham Working pattern : Hybrid - 3 days per week in the office RSG Plc is acting as an Employment Agency in relation to this vacancy.

Analytics Manager Onsite - Leicestershire (5x days per week) £90,000 - £95,000 + bonus An opportunity to lead data, analytics and automation within a complex Finance Operations environment. You will shape the strategy across MI, RPA and emerging AI capabilities, leading technical teams while delivering measurable improvements across data, reporting and automation. The Company They are a large, established organisation investing in the continued evolution of their data and automation capabilities. Data plays a critical role in operational and financial decision-making, with a mature technology ecosystem already in place. They are now looking for a Senior Data Analytics Manager to lead the next stage of this journey. The Role As Senior Data Analytics Manager, you will: Lead multidisciplinary teams across data, MI, reporting and RPA, providing strategic direction to senior team members. Own the data and analytics strategy for Finance Operations, including a large-scale data ecosystem and complex semantic models. Drive the evolution of automation, identifying opportunities for intelligent workflows and Agentic AI. Develop analytics capabilities across Databricks, Power BI and AI-powered BI to deliver predictive and actionable insights. Oversee the governance, performance and controls surrounding a substantial portfolio of live automated processes. Partner with senior stakeholders across Finance, IT and Operations to translate technical roadmaps into measurable business value. Lead strategic projects from inception through to delivery, with clear governance and accountability. Your Skills & Experience You will bring: Strong commercial experience leading technical teams across Data, Analytics and/or Automation. Strong knowledge of modern data architecture, Databricks, data modelling and data governance. Expertise using SQL for complex querying and scalable analytics solutions. Experience with DAX and Power BI, alongside an understanding of semantic data models. Experience using Python for data engineering, analytics or process automation. Strong knowledge of RPA, process automation and process re-engineering. An understanding of emerging AI capabilities, including Agentic AI and AI-powered analytics. Strong stakeholder management skills, with the ability to communicate technical strategy clearly to senior audiences. Experience managing governance, change control and operational risk within complex production environments. What They Offer £90,000 to £95,000 base salary. Bonus. The opportunity to own and influence a significant data, analytics and automation strategy. Exposure to modern technologies across Databricks, Power BI, RPA and AI. A senior leadership position with scope to drive meaningful technological and operational change. This is an onsite position based in Leicestershire, requiring office attendance 5 day How to Apply Apply now to be considered for this Senior Data Analytics Manager opportunity in Leicestershire.