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Our OEM Client based in Whitley, Coventry, is searching for a Layout System Integration BIM Engineer to join their team, Inside IR35. This is a contract position with a proposed end date of 31st August 2027. Umbrella Pay Rate: £28.43 per hour. The Opportunity: The role is for the Design Integration, Layout Integration BIM Lead Engineer for Global Manufacturing Engineering, responsible for rolling out and leading Layout Integration and BIM methodology from concept to the delivery phase to JOB1 + 90 days. Key Performance Indicators: Efficiency: Model coordination reviews completed to programme schedule. Timing: L1–L5 reviews completed to gateway timing. Delivery: BIM deliverables issued in accordance with programme requirements. Digital asset information maintained within CDE requirements. Pulse and attendance targets achieved. People: Pulse and attendance targets achieved. Continuous professional development and digital capability objectives achieved. Key Accountabilities and Responsibilities: The Design Integration, Layout System Integration Engineer is responsible for supporting the delivery of BIM-enabled facility integration activities from concept through to project completion (JOB1 + 90), ensuring compliance with defined standards, processes, and digital engineering methodologies across GME programmes. They will also be responsible for aspects of BIM development through time. Experience of federated model coordination, design review and clash detection processes. Support implementation of Common Data Environment (CDE), digital asset management and digital twin information management processes within projects. Support the application of BIM methodology and Layout System Integration processes across GME projects. Apply BIM standards within Facilities design and delivery activities. Support integration activities across programme delivery, construction, and digital estates functions. Support L1–L5 Layout System Integration reviews and buy-off activities. Deliver project outputs in line with programme timing and gateway requirements. Participate in cross-functional design reviews to support integration readiness and design assurance. Utilise approved Layout Integration Standard toolsets to develop and coordinate facility layouts. Follow established digital workflows and interoperability requirements across project teams. Develop and maintain 4D simulation models and digital rehearsals to support installation planning, logistics reviews, stakeholder engagement, and programme delivery activities. Undertake reality capture and Scan-to-BIM activities including LiDAR scanning, point cloud processing, model validation using Navisworks, Revit and Verity. As-built verification and digital record updates. Contribute to lessons learned activities and continuous improvement of standards and processes. Develop competence in: BIM workflows, Digital engineering tools, Layout System Integration methodologies. Support wider business priorities as directed by line management. Maintain compliance with standards, health and safety requirements, and governance processes. Key Interactions: GME programme Process, layout, services, civil building and DI teams. MBO programme team. Health and Safety teams. Essential, Skills, Knowledge and Experience Required: Demonstrable working knowledge and experience of Autodesk BIM and Layout design toolset. Demonstrable previous experience and background in layout development. Demonstrable previous experience of Digital facility asset storage and revision control system. Demonstrable previous experience of delivering programme KPIs and targets. Demonstrable previous experience of BIM attributes and application levels. Experience coordinating technical activities across multidisciplinary project teams. Experience in production sites. Ability to develop and deliver presentations to work groups and management. Relevant degree or equivalent experience preferred. Microsoft package elements Power Point, Teams, Planner and Excel. Thorough Understanding and Application of Lean Tools and Techniques. Experience working in a fast-paced manufacturing environment. Experience using BIM, CAD and digital engineering toolsets relevant to facility and manufacturing design. Experience working with 3D models, design coordination, federated model reviews and layout development within a project environment. Experience supporting the delivery of projects to programme timing, quality and cost targets. Experience of production process flow analysis and problem solving within complex technical environments. Understanding of BIM methodologies, model information requirements, Common Data Environment (CDE) principles and digital engineering workflows. Experience of digital document, asset management and revision-controlled environments. Experience supporting the deployment, adoption and continuous improvement of emerging digital engineering technologies, BIM methodologies and innovative ways of working to improve project delivery, engineering efficiency, data quality and digital capability across GME programmes. Experience of multidisciplinary design coordination and stakeholder engagement. Experience working within manufacturing, industrial or production environments. Strong communication skills with the ability to communicate technical information to a range of stakeholders. Effective team player with a collaborative and proactive approach to problem solving. Demonstrates integrity, resilience and a commitment to continuous improvement. Desirable Skills, Knowledge and Experience Requested: Experience within an automotive manufacturing environment. Experience of facility design, construction, manufacturing engineering or capital project delivery. Experience of programme integration and delivery processes within automotive or industrial engineering environments. Experience using digital engineering platforms such as Revit, Navisworks, Autodesk Construction Cloud (ACC), Verity, Inventor, PDM systems or equivalent toolsets. Experience supporting Scan-to-BIM, reality capture, LiDAR scanning or point cloud modelling workflows. Experience developing, coordinating or reviewing 4D simulations, digital rehearsals and installation sequencing activities. Understanding of digital twin methodologies and asset information management principles. Understanding of BIM maturity levels, ISO 19650 standards, information management requirements and RIBA stages. Experience supporting the evaluation, pilot deployment or adoption of emerging digital engineering technologies, automation tools, AI-enabled workflows or innovative engineering methods. Degree in Engineering, Construction, Architecture, Digital Engineering or a related discipline, or equivalent practical experience. Understanding of data analytics, automation, AI-assisted & generative engineering workflows or model-based delivery techniques

Job Title: Layout Integration BIM Engineer - (phone number removed) Location: Coventry Key Accountabilities and Responsibilities The Design Integration, Layout System Integration Engineer is responsible for supporting the delivery of BIM-enabled facility integration activities from concept through to project completion (JOB1 + 90), ensuring compliance with defined standards, processes, and digital engineering methodologies across GME programmes. They will also be responsible for aspects of BIM development through time. Experience of federated model coordination, design review and clash detection processes. Support implementation of Common Data Environment (CDE), digital asset management and digital twin information management processes within projects. Support the application of BIM methodology and Layout System Integration processes across GME projects Apply company BIM standards within Facilities design and delivery activities Support integration activities across programme delivery, construction, and digital estates functions Support L1–L5 Layout System Integration reviews and buy-off activities Deliver project outputs in line with programme timing and gateway requirements Participate in cross-functional design reviews to support integration readiness and design assurance Utilise approved Layout Integration Standard toolsets to develop and coordinate facility layouts Follow established digital workflows and interoperability requirements across project teams Develop and maintain 4D simulation models and digital rehearsals to support installation planning, logistics reviews, stakeholder engagement, and programme delivery activities Undertake reality capture and Scan-to-BIM activities including LiDAR scanning, point cloud processing, model validation using Navisworks, Revit and Verity As-built verification and digital record updates Contribute to lessons learned activities and continuous improvement of standards and processes Develop competence in: BIM workflows, Digital engineering tools, Layout System Integration methodologies Support wider business priorities as directed by line management Maintain compliance with company standards, health and safety requirements, and governance processes Knowledge, Skills and Experience Demonstrable working knowledge and experience of Autodesk BIM and Layout design toolset Demonstrable previous experience and background in layout development. Demonstrable previous experience of Digital facility asset storage and revision control system Demonstrable previous experience of delivering programme KPIs and targets Demonstrable previous experience of BIM attributes and application levels Experience coordinating technical activities across multidisciplinary project teams. Experience in production sites Ability to develop and deliver presentations to work groups and management Relevant degree or equivalent experience preferred Microsoft package elements Power Point, Teams, Planner and Excel Thorough Understanding and Application of Lean Tools and Techniques Experience working in a fast-paced manufacturing environment Essential Skills & Experience Experience using BIM, CAD and digital engineering toolsets relevant to facility and manufacturing design. Experience working with 3D models, design coordination, federated model reviews and layout development within a project environment. Experience supporting the delivery of projects to programme timing, quality and cost targets. Experience of production process flow analysis and problem solving within complex technical environments. Understanding of BIM methodologies, model information requirements, Common Data Environment (CDE) principles and digital engineering workflows. Experience of digital document, asset management and revision-controlled environments. Experience supporting the deployment, adoption and continuous improvement of emerging digital engineering technologies, BIM methodologies and innovative ways of working to improve project delivery, engineering efficiency, data quality and digital capability across GME programmes. Experience of multidisciplinary design coordination and stakeholder engagement. Experience working within manufacturing, industrial or production environments. Strong communication skills with the ability to communicate technical information to a range of stakeholders. Effective team player with a collaborative and proactive approach to problem solving. Demonstrates integrity, resilience and a commitment to continuous improvement. Desirable Skills & Experience Experience within an automotive manufacturing environment. Experience of facility design, construction, manufacturing engineering or capital project delivery. Experience of programme integration and delivery processes within automotive or industrial engineering environments. Experience using digital engineering platforms such as Revit, Navisworks, Autodesk Construction Cloud (ACC), Verity, Inventor, PDM systems or equivalent toolsets. Experience supporting Scan-to-BIM, reality capture, LiDAR scanning or point cloud modelling workflows. Experience developing, coordinating or reviewing 4D simulations, digital rehearsals and installation sequencing activities. Understanding of digital twin methodologies and asset information management principles. Understanding of BIM maturity levels, ISO 19650 standards, information management requirements and RIBA stages. Experience supporting the evaluation, pilot deployment or adoption of emerging digital engineering technologies, automation tools, AI-enabled workflows or innovative engineering methods. Degree in Engineering, Construction, Architecture, Digital Engineering or a related discipline, or equivalent practical experience. Understanding of data analytics, automation, AI-assisted & generative engineering workflows or model-based delivery techniques

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Order Ref: (phone number removed) Position Title: Layout System Integration BIM Engineer Duration: Contract Location: Whitley The Opportunity: The role is for the Design Integration, Layout Integration BIM Lead Engineer for Global Manufacturing Engineering, responsible for rolling out and leading Layout Integration and BIM methodology from concept to the delivery phase to JOB1 + 90 days. Key Accountabilities and Responsibilities: The Design Integration, Layout System Integration Engineer is responsible for supporting the delivery of BIM-enabled facility integration activities from concept through to project completion (JOB1 + 90), ensuring compliance with defined standards, processes, and digital engineering methodologies across GME programmes. They will also be responsible for aspects of BIM development through time. Experience of federated model coordination, design review and clash detection processes. Support implementation of Common Data Environment (CDE), digital asset management and digital twin information management processes within projects. Support the application of BIM methodology and Layout System Integration processes across GME projects Apply Client BIM standards (the Clients' Way) within Facilities design and delivery activities Support integration activities across programme delivery, construction, and digital estates functions Support L1-L5 Layout System Integration reviews and buy-off activities Deliver project outputs in line with programme timing and gateway requirements Participate in cross-functional design reviews to support integration readiness and design assurance Utilise approved Layout Integration Standard toolsets to develop and coordinate facility layouts Follow established digital workflows and interoperability requirements across project teams Develop and maintain 4D simulation models and digital rehearsals to support installation planning, logistics reviews, stakeholder engagement, and programme delivery activities Undertake reality capture and Scan-to-BIM activities including LiDAR scanning, point cloud processing, model validation using Navisworks, Revit and Verity As-built verification and digital record updates Contribute to lessons learned activities and continuous improvement of standards and processes Develop competence in: BIM workflows, Digital engineering tools, Layout System Integration methodologies Support wider business priorities as directed by line management Maintain compliance with Client standards, health and safety requirements, and governance processes Key Interactions: GME programme Process, layout, services, civil building and DI teams MBO programme team Health and Safety teams Knowledge, Skills and Experience: Demonstrable working knowledge and experience of Autodesk BIM and Layout design toolset Demonstrable previous experience and background in layout development. Demonstrable previous experience of Digital facility asset storage and revision control system Demonstrable previous experience of delivering programme KPIs and targets Demonstrable previous experience of BIM attributes and application levels Experience coordinating technical activities across multidisciplinary project teams. Experience in production sites Ability to develop and deliver presentations to work groups and management Relevant degree or equivalent experience preferred Microsoft package elements Power Point, Teams, Planner and Excel Thorough Understanding and Application of Lean Tools and Techniques Experience working in a fast-paced manufacturing environment Essential Skills & Experience: Experience using BIM, CAD and digital engineering toolsets relevant to facility and manufacturing design. Experience working with 3D models, design coordination, federated model reviews and layout development within a project environment. Experience supporting the delivery of projects to programme timing, quality and cost targets. Experience of production process flow analysis and problem solving within complex technical environments. Understanding of BIM methodologies, model information requirements, Common Data Environment (CDE) principles and digital engineering workflows. Experience of digital document, asset management and revision-controlled environments. Experience supporting the deployment, adoption and continuous improvement of emerging digital engineering technologies, BIM methodologies and innovative ways of working to improve project delivery, engineering efficiency, data quality and digital capability across GME programmes. Experience of multidisciplinary design coordination and stakeholder engagement. Experience working within manufacturing, industrial or production environments. Strong communication skills with the ability to communicate technical information to a range of stakeholders. Effective team player with a collaborative and proactive approach to problem solving. Demonstrates integrity, resilience and a commitment to continuous improvement. Desirable Skills & Experience: Experience within an automotive manufacturing environment. Experience of facility design, construction, manufacturing engineering or capital project delivery. Experience of programme integration and delivery processes within automotive or industrial engineering environments. Experience using digital engineering platforms such as Revit, Navisworks, Autodesk Construction Cloud (ACC), Verity, Inventor, PDM systems or equivalent toolsets. Experience supporting Scan-to-BIM, reality capture, LiDAR scanning or point cloud modelling workflows. Experience developing, coordinating or reviewing 4D simulations, digital rehearsals and installation sequencing activities. Understanding of digital twin methodologies and asset information management principles. Understanding of BIM maturity levels, ISO 19650 standards, information management requirements and RIBA stages. Experience supporting the evaluation, pilot deployment or adoption of emerging digital engineering technologies, automation tools, AI-enabled workflows or innovative engineering methods. Degree in Engineering, Construction, Architecture, Digital Engineering or a related discipline, or equivalent practical experience. Understanding of data analytics, automation, AI-assisted & generative engineering workflows or model-based delivery techniques

Trainee AI Engineer – No Experience Needed.Future-proof your career in Artificial Intelligence – starting today.Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get yo

AI Architect Up to £120k + Bonus + Benefits Remote (UK) | Occasional Client Travel Architect the Future of Enterprise AI AI is moving beyond experimentation and this consultancy is helping some of the UK's largest organisations turn AI ambition into real-world capability. We're looking for an experienced AI Architect to join a growing AI practice, designing and delivering secure, scalable and production-ready AI solutions across enterprise environments. This is a role for someone who understands that successful AI transformation requires more than selecting the latest models. It requires strong architecture, robust data foundations, governance, security, and the ability to translate emerging technologies into measurable business outcomes. Working across Generative AI, Agentic AI, Machine Learning and enterprise data platforms, you'll help organisations move from AI strategy and proof-of-concept through to scalable production adoption. You'll work closely with senior stakeholders, technical teams and delivery specialists to define AI architectures, establish best practices and shape how enterprise AI is built and deployed. This is not a role focused purely on governance or architecture documentation. You'll remain close to the technology, influencing design decisions, guiding delivery teams and helping build solutions that create genuine business impact. What You'll Be Doing You'll lead the architecture and delivery of enterprise AI solutions across the full lifecycle from discovery and strategy through to implementation and scale. Your responsibilities will include: • Designing enterprise-scale Generative AI, Agentic AI and Machine Learning architectures, • Creating AI solutions using Microsoft Foundry / Azure AI Foundry and Copilot Studio (essential), • Defining AI platforms, frameworks and reference architectures for large organisations, • Designing intelligent agent solutions, AI assistants and LLM-powered applications, • Developing secure and governed AI approaches aligned with Responsible AI principles, • Advising senior stakeholders on AI strategy, technology choices and investment decisions, • Supporting client engagements from early discovery through production deployment, • Creating reusable AI accelerators, patterns and delivery frameworks, • Providing technical leadership and guidance to engineering and delivery teams, • Supporting the continued growth and maturity of the AI consulting practice Technology Environment You'll work across a modern Microsoft-focused AI ecosystem including: • Microsoft Foundry / Azure AI Foundry (mandatory experience), • Microsoft Copilot Studio (mandatory experience), • Azure AI Services, • Azure OpenAI Service, • Microsoft Agent Framework, • Semantic Kernel, • Power Platform, • Enterprise Data Platforms, • Azure Machine Learning, • Retrieval-Augmented Generation (RAG), • Large Language Models (LLMs), • Agentic AI architectures, • LangChain / LangGraph, • MLOps & LLMOps, • Cloud-native architectures, • Data governance and security frameworks What We're Looking For You'll likely be operating as an AI Architect, Lead AI Consultant, Principal AI Engineer, Principal Data Scientist or similar senior AI leadership role. You'll bring: • Proven experience designing and delivering enterprise AI solutions in production environments, • Strong hands-on experience with Microsoft / Azure AI Foundry and Copilot Studio (essential), • Deep understanding of Generative AI, LLM architectures, RAG and AI agents, • Experience building AI solutions beyond proof-of-concept into scalable production services, • Strong Azure and Microsoft ecosystem expertise, • Experience with AI governance, security, data privacy and Responsible AI principles, • Understanding of modern data platforms and AI-ready data architectures, • Experience working with senior technical and business stakeholders, • Strong consulting skills with the ability to translate complex AI concepts into business outcomes, • The ability to provide technical leadership while remaining close to delivery Why This Opportunity Stands Out AI is not an experiment here it is a strategic investment area with executive sponsorship, significant client demand and a growing pipeline of enterprise transformation programmes. You'll have the opportunity to: • Work on complex AI challenges at enterprise scale, • Design solutions using the latest Microsoft AI technologies, • Influence AI adoption across major organisations, • Work alongside leading specialists across AI, data and cloud, • Shape reusable AI frameworks and best practices, • Continue developing your expertise through certifications, innovation and training The AI market is crowded with organisations experimenting, this opportunity is with a business that's already delivering. If you're ready to architect AI solutions that operate at enterprise scale and shape the next generation of intelligent systems, we'd love to hear from you. JBRP1_UKTJ

Data / AI Engineer (Active DV Clerance is required) Hybrid Working Up to £70,000 DOE Permanent Join a growing Defence & National Security practice delivering critical data driven solutions to support high-impact government programmes. This role focuses on leveraging Palantir Foundry and Gotham to transform complex data into trusted, actionable insights for mission-critical environments. You will work at the intersection of data engineering, analytics, and client delivery, collaborating within multi-disciplinary teams to build scalable, production-grade data solutions. Key Responsibilities Data Engineering & Platform Development • Design, build, and maintain robust, scalable data pipelines within Palantir Foundry., • Ingest, transform, and integrate diverse data sources (batch, streaming, real-time, and unstructured) into structured data assets., • Develop and optimise ETL processes and automated workflows to support downstream analytics, AI, and operational use cases., • Architect high-performance data systems, ensuring scalability, reliability, and efficiency., • Leverage advanced Foundry features including artifacts, compute modules, and Ontology frameworks. Client Delivery & Collaboration • Work closely with clients to understand requirements and translate them into technical solutions., • Manage stakeholder relationships and communicate progress and value effectively., • Deliver solutions within Agile environments, collaborating across cross-functional teams. Technical Skills • Strong hands-on experience with:, • Palantir Foundry and/or Gotham, • Data engineering, ETL pipelines, and workflow orchestration, • Proficiency in programming languages such as:, • Python (essential), • TypeScript (desirable) If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website. JBRP1_UKTJ

Job Title: Security AI Engineer Duration: 6 months with chance of extension Contract: Outside IR35 Location: Fully remote We're looking for a Security AI Engineer to join an exciting programme focused on building autonomous security agents and next generation AI-driven security capabilities. Working at the intersection of AI and cyber security, you'll help design and develop agentic systems capable of investigating security events, reasoning across complex environments, support incident response and drive automated remediation. The focus is on applying agentic AI to real-world security operations, helping evolve traditional SOC processes into intelligent, autonomous workflows. What You'll Be Doing: • Designing and building agentic security agents, • Developing AI-driven solutions for SOC, incident response and security automation, • Building integrations with security and operational tooling, • Working with modern agent orchestration frameworks and MCP, • Contributing to self-healing infrastructure and automated remediation capabilities, • Helping shape the future of AI-powered security operations What We're Looking For: • This is a security first role. We are specifically looking for someone who has worked directly in security operations or built automation for security environments., • Experience building AI agents or agentic AI systems applied to security use cases, • Strong software engineering skills, ideally Python, • Proven experience in SOC, SecOps, incident response or security engineering environments, • Ideally experience building security automation, SOAR workflows, detection/response automation, or similar systems, • Knowledge of agent orchestration frameworks and MCP, • Experience taking AI or automation solutions from proof of concept into production in a security context We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age. JBRP1_UKTJ

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Trainee AI Engineer – No Experience NeededFuture-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get yo

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