PSD Technology Contracts Ltd.

Overview: We are seeking a Utilisation & Implementation Specialist to support the rollout and ongoing operations of workplace utilisation sensors. You'll coordinate installations, manage key data sources, and deliver insights that help optimise how space is used across the organisation. Key Responsibilities: Lead and support end-to-end delivery of utilisation sensor installations. Coordinate schedules, documentation, and readiness with internal teams and external suppliers. Work closely with IT, Facilities, Vendors, and Workplace teams to ensure smooth implementation. Manage and validate property and room data, ensuring accuracy and compliance. Monitor sensor performance and utilisation trends to maintain data integrity. Produce dashboards and insight reports to support space optimisation. Skills & Experience: Strong understanding of BIM/BMS systems and digital building information. Experience working with IoT or smart building technologies. Project coordination experience, ideally on building, workplace, or technology projects. Analytical mindset with confidence interpreting utilisation data. Excellent communicator with strong stakeholder management skills. CAD skills (desirable) for reviewing or updating drawings when required. Ideal Candidate: Proactive, detail-focused, and comfortable working with building data, digital systems, and cross-functional teams to drive workplace efficiency. 12 month FTC

AI Engineer - LLM, Python, RAG, Data Analyst - SQL, Tableau, R, Python, Gen AI, Machine Learning. This is 12 month fixed term contract, hybrid working, office location Weybridge, Surrey. The Role: Build and refine LLM/SLM-based AI solutions, including retrieval-augmented generation (RAG), fine-tuning, and prompt engineering. Design and oversee solution architecture for AI-powered systems across cloud and on-premise environments. Develop ML models and integrate them into production systems, ensuring scalability and performance. Collaborate with cross-functional teams to define AI strategy, roadmap, and adoption plan. Prototype, test, and optimise AI applications, ensuring continuous performance improvement. Essential Skills: 5 + years commercial experience in GenAI, NLP, and Machine Learning. Proven experience in creating, training, and fine-tuning LLMs/SLMs. 5+ years hands-on skills Python development skills. Integrating with SQL/NoSQL databases. Experience with API development, web scraping/crawling, and data integration. Practical exposure to on premise AI model deployment and open-source AI frameworks (eg, Hugging Face, LangChain). Ability to assess AI tools and recommend optimisation for performance improvements. Strong consulting and communication skills able to translate technical concepts into business value. Bachelor's or Master's degree or equivalent in Computer Science, Machine Learning, Engineering, or related field. Full right to work in the UK required. If your profile matches the above and you'd like to find out more, please apply with your up to date CV.

Our client is an Investment Management company based in central London and are currently engaged in an implementation of the Finbourne LUSID platform. They are looking to hire someone on an initial 6-month contract to act as a Product Owner in order to assist with the implementation: Experience Required: Experience of working with the LUSID platform is essential. Technical skill including SQL and Python in order to write code and configure the platform. Experience of working in a Product Owner/Implementation type role including working with business stakeholders to understand their requirements. Strong background of working on data technology projects within Investment Management/Asset Management.

Solution Architect/Cloud Architect/AWS/CNCF/Kubernetes/Saas AWS Solution Architect We have an excellent opportunity for an AWS Cloud Solution Architect to join a rapidly expanding SaaS Fintech company operating within the investment management sector. Joining an established team you will get involved early in the pre-sales process to get the customer on side and understanding the cloud product capabilities; own and define the customer solution and the end-to-end delivery of solutions. Key Skills/Experience: 5+ years experience as a Cloud Solution Architect AWS Certified Solution Architect Technical working knowledge of Kubernetes Experience architecting and implementing, secure, cost-efficient, available, scalable cloud environments Experience in documenting customer solutions *Full right to work in the UK required* Our client operates a hybrid working model - Monday in the London office, Tues to Friday WFH. If your profile matches the above and you'd like to find out more, please apply with your up to date CV and I'll get back to you as quickly as possible.

Solutions Architect - Digital My client is looking for a Solutions Architects, ideally within the Digital space, with a focus on AWS/Google/Azure experience. You will bring the overall solution design together working with the whole of the team to ensure significant items of functionality can be delivered. Provides an experienced voice around design. Works with the Agile BA team and product owners to ensure stories are sufficiently elaborated for development to commence. Works with the Head of Design and Delivery to ensure solutions are understood for more long-term items on the roadmaps. Work with the Architecture team to ensure solutions do not diverge from the overall roadmap. Experienced Solution Architect with background in overall solution roadmaps, particularly around Cloud and Digital. Significant experience of cloud-based software and implications of implementing this into an organisation. Experience in Integration methods. Energy Industry experience is desirable. Able to quickly understand complex requirements and distil them into key elements. Comfortable with making rapid design decisions.