FPC Group

About the Company

Founded in 2014, Facility Performance Consulting (FPC) set out on a mission to "Build Tomorrow’s Digital Planet" by delivering highly specialised, facility life-cycle integrated consulting services for the Built Environment. By 2025, FPC Group has grown into a global leader in innovative business solutions and project execution, with over 150 experts across the UK, Ireland, the US & Americas, Europe, India, and APAC. Our business operates under three key pillars: FPC Global ~ We deliver Technical Consultancy & Advisory Services in Technical Program & Project Management, Building Performance Services, Building Sustainability & Energy Efficiency, Cyber Security. FPC Digital ~ We deliver Digital Building Services and Frictionless Building Design including Digital Building Design, Engineering and Operations. FPC Life Sciences ~ We provide an unrivalled service in Project Execution, Project Definition, Front-End Project Delivery and Technical PMO Support to drive the success of our Life Sciences and Pharmaceutical clients' investment programs. Our focus is on ensuring project success and fulfilling stakeholder aspirations through a quality-driven, people-centred approach. Our Global Reach: Headquartered in Rugby, Warwickshire, UK, FPC Global operates a network of regional offices to support clients worldwide: EMEA – London, UK & Dublin US & Americas – San Francisco India – Bangalore APAC – Singapore As we continue to expand, FPC remains dedicated to supporting our diverse client base worldwide Join Us: Explore current opportunities → www.fpc-global.com/hiring

Listed Jobs

Company Name

FPC Group

Job Title

AI Engineer

Job Description

Job Title: AI Engineer Role Summary: Design, develop, and deploy AI agents and machine learning models to solve complex problems across the organisation. Collaborate with cross‑functional teams, manage the full ML pipeline from data preprocessing to production deployment, and document technical processes. Expectations: Deliver high‑quality, production‑ready code; maintain organized repositories; stay current with AI/ML advancements; participate in team knowledge‑sharing; communicate effectively with stakeholders. Key Responsibilities: - Design and implement AI agents and ML models using frameworks such as TensorFlow, PyTorch, or equivalents. - Conduct data analysis, cleaning, and feature engineering for model training. - Optimize algorithms and fine‑tune hyperparameters to improve performance. - Build, test, and deploy models into production environments. - Evaluate and iterate on existing AI systems to enhance accuracy and efficiency. - Document model specifications, code, and best practices. - Collaborate with data scientists, software engineers, and domain experts to integrate AI solutions. - Keep abreast of emerging AI technologies and incorporate relevant innovations. Required Skills: - Proficient in Python; knowledge of R or Java is a plus. - Experience with AI platforms (Google Vertex AI, OpenAI) and ML frameworks (TensorFlow, PyTorch). - Familiarity with agentic AI architectures and toolsets. - Strong data analysis and visualization skills. - Understanding of deep learning, neural networks, NLP, or computer vision concepts. - Proficient with version control (Git). - Excellent analytical, problem‑solving, and attention‑to‑detail abilities. - Effective communication and teamwork skills. - Passion for AI evidenced through academic projects, internships, competitions, or hackathons. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field. - No specific certifications required, but relevant AI/ML certifications (e.g., TensorFlow Developer, AWS Certified Machine Learning) are advantageous.

London, United kingdom

Remote

23-12-2025

Company Name

FPC Group

Job Title

Senior Digital Buildings System Engineer

Job Description

Senior Digital Buildings System Engineer Role Summary: Leads the onboarding, integration, and optimization of building management systems (BMS), IoT devices, and facility solutions into cloud platforms. Ensures seamless data interoperability, security, and performance across diverse hardware/software ecosystems to enable real-time analytics and operational efficiency. Expectations: Collaborate globally with IT, security, and operations teams; adapt to multiple cloud environments (AWS, Azure, GCP) and BMS/IoT systems; troubleshoot complex issues, manage workload with minimal supervision, and align technical solutions with business goals. Key Responsibilities: - Assess, analyze, and document existing BMS/HVAC/lighting systems for cloud compatibility. - Configure cloud infrastructure, data pipelines, and protocols (e.g., BACnet, Modbus) for secure data flow. - Test, validate, and resolve integration issues for IoT devices, gateways, and platform compliance. - Implement cybersecurity measures (encryption, access control) for data privacy and storage. - Analyze operational performance data, generate insights, and maintain onboarding documentation. - Support deployment of compliant cloud-based building systems and provide technical training to on-site staff. Required Skills: - Expertise in building automation systems and IoT device integration. - Proficiency in cloud platforms (AWS, Azure, GCP), data management, and analytics tools. - Strong understanding of communication protocols (BACnet, Modbus), cybersecurity policies. - Experience with IoT testing labs, device lifecycle management, and cloud pipeline configuration. - Excellent communication and problem-solving capabilities under shifting priorities. Required Education & Certifications: - Bachelor’s degree in Engineering, Computer Science, or related field. - Certifications in cloud platforms (AWS/Azure/GCP) and/or BMS systems (e.g., Siemens, Johnson Controls).

London, United kingdom

Hybrid

Senior

11-03-2026