Story Terrace Inc.
About Us At Plentific, we're redefining property management in real time. Our mission is to lead real estate through the transformative journey into "The World of Now," enabling us to empower property professionals through our innovative, cloud-based platform. We harness cutting-edge technology and data-driven insights to streamline operations for landlords, letting agents, and property managers-enabling them to optimize maintenance, manage repairs, and make informed decisions instantly. Our platform is designed to create seamless, real-time workflows that transform traditional property management into a dynamic, digital experience. Backed by a world-class group of investors-including Noa, Highland Europe, Brookfields, Mubadala, RXR Digital Ventures, and Target Global-Plentific is at the forefront of the proptech revolution. Headquartered in London with a global outlook, we're continually expanding our reach and impact. We're looking for forward-thinking, passionate professionals who are ready to contribute to our mission and drive industry innovation. If you're excited about making an immediate impact and shaping the future of property management, explore career opportunities with us at Plentific. The Role As an AI Applied Engineer, you will design, build, and deploy AI-powered features and automation tools that transform how our users interact with our platform and improve internal operational efficiency. You'll work across the stack to integrate AI capabilities-such as intelligent assistants, AI agents, and predictive systems-directly into our Python-based applications, experimenting with new frameworks and deployment solutions along the way. Your day-to-day will focus on building real, production-grade AI systems that deliver measurable value-whether that's automating property management workflows, creating decision-support tools for our teams, or embedding natural language and vision capabilities into our products. You'll collaborate closely with product managers, data scientists, and other engineers, taking AI solutions from concept to scalable production deployment. You'll have the freedom to explore cutting-edge tools like FastAPI, PydanticAI, LLM orchestration frameworks, while ensuring solutions are robust, maintainable, and secure. Responsibilities Develop and deploy AI-powered features and services in our Python-based stack (FastAPI and Django, DRF) and explore new frameworks (e.g. BentoML) for performance and scalability. Build and integrate intelligent automation systems, AI agents, and decision-support tools into core product workflows. Implement and optimise LLM-based systems, RAG pipelines, and AI agent architectures for complex property management workflows. Work with cross-functional teams to gather requirements, define AI use cases, and iterate quickly on prototypes. Integrate complementary AI capabilities-such as voice processing, computer vision, and NLP-into customer-facing and internal tools. Ensure all AI applications and models adhere to security best practices, including input validation, secure handling of sensitive data (PII/confidential property information), and protection against prompt injection and other AI-specific vulnerabilities. Collaborate with MLOps and platform engineers to ensure models are deployed, monitored, and iterated in production environments. Maintain clear documentation for AI systems, APIs, and workflows. Stay on top of emerging AI frameworks and deployment tools, bringing forward innovative ideas for application. Experience & Qualifications Strong Python development background (5+ years preferred), with solid experience in FastAPI or Django and Django REST Framework. Proven track record of building and deploying AI/ML-powered applications in production environments. Proficiency with async and streaming APIs, enabling efficient real-time data processing and low-latency AI service delivery in microservices (FastAPI, Django, Flask, or similar). Strong understanding of context engineering practices, optimising prompts, memory, and retrieval strategies for LLM-based systems. Hands-on experience with AI-assisted development tools such as Cursor, Claude Code, Codex, and GitHub Copilot, focusing on AI specification-driven approaches for technical analysis, code generation, and code review. Hands-on experience with AI/ML frameworks (PyTorch, TensorFlow, HuggingFace) and LLM orchestration tools (PydanticAI, LangChain, LangGraph, or similar) Experience deploying ML models using containerised solutions (Docker, Kubernetes) and frameworks like BentoML or equivalent. Familiarity with vector databases and retrieval pipelines for RAG architectures. Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps tooling (MLflow, Kubeflow, or similar). Familiarity with voice-to-text, IVR, and/or computer vision systems is a plus. Strong understanding of software engineering best practices-testing, CI/CD, version control, code reviews. Excellent problem-solving skills and ability to collaborate in cross-functional teams. Benefits As you can see, we are quickly progressing with our ambitious plans and are eager to grow our team of doers to achieve our vision of managing over 2 million properties through our platform across various countries. You can help us shape the future of property management across the globe. Here's what we offer: A competitive compensation package 25 days annual holiday + 1 additional day for every year served up to 3 years. Flexible working environment including the option to work abroad Private health care for you and immediate family members with discounted gym membership, optical, dental and private GP Enhanced parental leave Life insurance (4x salary) Employee assistance program Company volunteering day and charity salary sacrifice scheme Learning management system powered by Udemy Referral bonus and charity donation if someone you introduce joins the company Season ticket loan, Cycle to work, Electric vehicle and Techscheme programs Pension scheme Work abroad scheme Company-sponsored lunches, dinners and social gatherings Fully stocked kitchen with drinks, snacks, fruit, breakfast cereal etc.
About Us At Plentific, we're redefining property management in real time. Our mission is to lead real estate through the transformative journey into "The World of Now," enabling us to empower property professionals through our innovative, cloud-based platform. We harness cutting-edge technology and data-driven insights to streamline operations for landlords, letting agents, and property managers-enabling them to optimize maintenance, manage repairs, and make informed decisions instantly. Our platform is designed to create seamless, real-time workflows that transform traditional property management into a dynamic, digital experience. Backed by a world-class group of investors-including Noa, Highland Europe, Brookfields, Mubadala, RXR Digital Ventures, and Target Global-Plentific is at the forefront of the proptech revolution. Headquartered in London with a global outlook, we're continually expanding our reach and impact. We're looking for forward-thinking, passionate professionals who are ready to contribute to our mission and drive industry innovation. If you're excited about making an immediate impact and shaping the future of property management, explore career opportunities with us at Plentific. The Role As an AI Applied Engineer, you will design, build, and deploy AI-powered features and automation tools that transform how our users interact with our platform and improve internal operational efficiency. You'll work across the stack to integrate AI capabilities-such as intelligent assistants, AI agents, and predictive systems-directly into our Python-based applications, experimenting with new frameworks and deployment solutions along the way. Your day-to-day will focus on building real, production-grade AI systems that deliver measurable value-whether that's automating property management workflows, creating decision-support tools for our teams, or embedding natural language and vision capabilities into our products. You'll collaborate closely with product managers, data scientists, and other engineers, taking AI solutions from concept to scalable production deployment. You'll have the freedom to explore cutting-edge tools like FastAPI, PydanticAI, LLM orchestration frameworks, while ensuring solutions are robust, maintainable, and secure. Responsibilities Develop and deploy AI-powered features and services in our Python-based stack (FastAPI and Django, DRF) and explore new frameworks (e.g. BentoML) for performance and scalability. Build and integrate intelligent automation systems, AI agents, and decision-support tools into core product workflows. Implement and optimise LLM-based systems, RAG pipelines, and AI agent architectures for complex property management workflows. Work with cross-functional teams to gather requirements, define AI use cases, and iterate quickly on prototypes. Integrate complementary AI capabilities-such as voice processing, computer vision, and NLP-into customer-facing and internal tools. Ensure all AI applications and models adhere to security best practices, including input validation, secure handling of sensitive data (PII/confidential property information), and protection against prompt injection and other AI-specific vulnerabilities. Collaborate with MLOps and platform engineers to ensure models are deployed, monitored, and iterated in production environments. Maintain clear documentation for AI systems, APIs, and workflows. Stay on top of emerging AI frameworks and deployment tools, bringing forward innovative ideas for application. Experience & Qualifications Strong Python development background (5+ years preferred), with solid experience in FastAPI or Django and Django REST Framework. Proven track record of building and deploying AI/ML-powered applications in production environments. Proficiency with async and streaming APIs, enabling efficient real-time data processing and low-latency AI service delivery in microservices (FastAPI, Django, Flask, or similar). Strong understanding of context engineering practices, optimising prompts, memory, and retrieval strategies for LLM-based systems. Hands-on experience with AI-assisted development tools such as Cursor, Claude Code, Codex, and GitHub Copilot, focusing on AI specification-driven approaches for technical analysis, code generation, and code review. Hands-on experience with AI/ML frameworks (PyTorch, TensorFlow, HuggingFace) and LLM orchestration tools (PydanticAI, LangChain, LangGraph, or similar) Experience deploying ML models using containerised solutions (Docker, Kubernetes) and frameworks like BentoML or equivalent. Familiarity with vector databases and retrieval pipelines for RAG architectures. Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps tooling (MLflow, Kubeflow, or similar). Familiarity with voice-to-text, IVR, and/or computer vision systems is a plus. Strong understanding of software engineering best practices-testing, CI/CD, version control, code reviews. Excellent problem-solving skills and ability to collaborate in cross-functional teams. Benefits As you can see, we are quickly progressing with our ambitious plans and are eager to grow our team of doers to achieve our vision of managing over 2 million properties through our platform across various countries. You can help us shape the future of property management across the globe. Here's what we offer: A competitive compensation package 25 days annual holiday + 1 additional day for every year served up to 3 years. Flexible working environment including the option to work abroad Private health care for you and immediate family members with discounted gym membership, optical, dental and private GP Enhanced parental leave Life insurance (4x salary) Employee assistance program Company volunteering day and charity salary sacrifice scheme Learning management system powered by Udemy Referral bonus and charity donation if someone you introduce joins the company Season ticket loan, Cycle to work, Electric vehicle and Techscheme programs Pension scheme Work abroad scheme Company-sponsored lunches, dinners and social gatherings Fully stocked kitchen with drinks, snacks, fruit, breakfast cereal etc.
Cerebras
Overview The Role: The Enterprise CSM is a unique blend of a technical expert and strategic relationship builder. You will drive adoption within a portfolio of Fortune 5000 accounts, moving beyond traditional BI to help customers deploy AI Agents and Embedded Analytics. You'll be as comfortable discussing API authentication with a developer as you are discussing ROI with a CDO. What You'll Do Account Strategy: Be part of a focused team managing multiple Fortune 5000 accounts, responsible for driving adoption, tying usage to business problems, and building expansion opportunities through passive selling. Champion Agentic AI: Partner with customers to move from dashboards to agents, helping them leverage ThoughtSpot Agents and LLM-based workflows to automate data insights. Architect & Advise: Guide technical stakeholders through the development lifecycle of building high-performance data apps using our APIs and SDKs, while ensuring their data stack (Snowflake/Databricks/BigQuery) is optimized for AI-driven search. Voice of the Customer: Act as the primary technical point of contact, communicating requirements and use cases in a way that is actionable for ThoughtSpot's Product, Engineering, and Marketing teams. Relationship Management: Foster robust relationships through proactive champion building, acting as the bridge between human business needs and complex data technicalities. Bridge Business and Technology: Translate customer business goals into technical requirements and, conversely, explain the business value of technical features to stakeholders. Technical Enablement: Run advanced workshops and live demos that showcase the "Art of the Possible" with AI, embedding, and agentic analytics. What Sets You Apart A Consultative Problem Solver: You have a knack for understanding complex business challenges and prescribing elegant technical solutions. Technically Curious: You have a deep passion for the data space and are constantly learning about new technologies like LLMs and Generative AI. Incredible Communicator: You can command a room of data architects and then pivot to explain a technical concept in simple terms to a business leader. Proactive & Eager to Help: You are a natural problem solver who enjoys diving in to help customers with their initial technical hurdles. Language Skills: Fluent in English and capable of speaking European languages (e.g., French, Spanish, German) in a business environment. What You Bring 5+ years in a customer-facing technical role (Technical CSM, Solutions Architect, or Sales Engineer) within the Data/SaaS space. Analytics & AI Depth: Strong knowledge of the modern data stack (Snowflake/BigQuery/Databricks) and an understanding of LLM-based applications or AI Agents. Developer Literacy: Proficiency in SQL and familiarity with JavaScript/TypeScript frameworks (React, Angular, or Vue) for supporting embedded use cases. Integration Knowledge: Comfort discussing REST APIs, webhooks, and security protocols like SAML/OIDC. The "Consultative Edge": Ability to translate complex technical "how-to" into strategic "why-it-matters" for executive stakeholders. Education: Master's/Bachelor's Degree preferred but not required. Mandatory and Required Skills for All ThoughtSpot Roles Spotters are expected to demonstrate AI literacy and workflow integration, including the ability to: Comfortably and confidently integrate artificial intelligence into daily workflows to increase productivity and quality. Hands-on experience leveraging AI tools (industry-leading LLMs) to increase productivity, automate routine tasks, and improve work quality. Describe experience using AI for research, content creation, and document summarization while maintaining ownership of judgment and final decisions. Write effective prompts to obtain accurate and creative results from AI tools. Spotters are expected to exemplify these key traits and AI Mindset: Curiosity in exploring new AI tools Adaptability to quickly learn and implement new, emerging AI technologies Critical thinking to know when to identify when AI should be used versus when human judgement is necessary This combination of curiosity, adaptability, and discernment defines the AI mindset and is required for every role at ThoughtSpot. AI Mindset for All Spotters At ThoughtSpot, we believe AI is a necessary and essential part of how we work. Every role, across every team, is expected to be fluent and comfortable with using AI to do their best work. All Spotters are expected to experiment with ThoughtSpot's AI tools and leading industry LLMs to streamline workflows, enhance output, and uncover new insights. Whether drafting content, analyzing data, or summarizing documents, AI is a daily partner. We value curiosity, openness to learning, and thoughtful application of AI to create real value. Training and resources are provided so every Spotter can confidently create with AI. Hybrid Work at ThoughtSpot This office-assigned role is available as a hybrid position, reporting to the office in the UK - London. Spotters assigned to an office are encouraged to experience the energy of their local office with an in-office expectation of 2-3 days per week. This approach balances the benefits of in-person collaboration and peer learning with the flexibility needed by individuals and teams. ThoughtSpot for All At ThoughtSpot, diverse teams build better products. Complex data problems need many perspectives, not just one. We welcome different backgrounds, identities, and experiences, and we work to create a place where everyone can be themselves and do their best work. If this role excites you and you believe you're a strong match, we encourage you to apply. What Makes ThoughtSpot a Great Place to Work? ThoughtSpot is the Agentic Analytics Platform that empowers every enterprise to transform insights into action, on a mission to make the world more fact driven. We hire people with unique identities, backgrounds, and perspectives; this balance-for-the-better philosophy is key to our success. When paired with our culture of Trust, Customer Obsession, Innovation and Intensity, ThoughtSpot cultivates a respectful culture that pushes norms to create world-class products. If you're excited by the opportunity to work with some of the brightest minds in the business and make your mark on a truly innovative company, we invite you to read more about our mission, and apply to the role that's right for you. About ThoughtSpot The world's most innovative companies turn to ThoughtSpot's AI-Powered Analytics to put data in the hands of everyone, from the C-suite to the frontline. With simple, natural language search and AI, anyone can ask questions, discover insights, and act with confidence. Unlike legacy tools that sacrifice performance for complexity, ThoughtSpot is intuitively designed for every business user while being built to handle the most complex, large-scale data, wherever it resides. This unique combination of speed and simplicity is why enterprise leaders trust ThoughtSpot to transform decision-making into a truly data-driven culture. At ThoughtSpot, we're a curious, data-driven bunch. We believe the world works better when everyone has access to facts. That's why we build products that make asking and answering data questions as natural as having a conversation.
Overview The Role: The Enterprise CSM is a unique blend of a technical expert and strategic relationship builder. You will drive adoption within a portfolio of Fortune 5000 accounts, moving beyond traditional BI to help customers deploy AI Agents and Embedded Analytics. You'll be as comfortable discussing API authentication with a developer as you are discussing ROI with a CDO. What You'll Do Account Strategy: Be part of a focused team managing multiple Fortune 5000 accounts, responsible for driving adoption, tying usage to business problems, and building expansion opportunities through passive selling. Champion Agentic AI: Partner with customers to move from dashboards to agents, helping them leverage ThoughtSpot Agents and LLM-based workflows to automate data insights. Architect & Advise: Guide technical stakeholders through the development lifecycle of building high-performance data apps using our APIs and SDKs, while ensuring their data stack (Snowflake/Databricks/BigQuery) is optimized for AI-driven search. Voice of the Customer: Act as the primary technical point of contact, communicating requirements and use cases in a way that is actionable for ThoughtSpot's Product, Engineering, and Marketing teams. Relationship Management: Foster robust relationships through proactive champion building, acting as the bridge between human business needs and complex data technicalities. Bridge Business and Technology: Translate customer business goals into technical requirements and, conversely, explain the business value of technical features to stakeholders. Technical Enablement: Run advanced workshops and live demos that showcase the "Art of the Possible" with AI, embedding, and agentic analytics. What Sets You Apart A Consultative Problem Solver: You have a knack for understanding complex business challenges and prescribing elegant technical solutions. Technically Curious: You have a deep passion for the data space and are constantly learning about new technologies like LLMs and Generative AI. Incredible Communicator: You can command a room of data architects and then pivot to explain a technical concept in simple terms to a business leader. Proactive & Eager to Help: You are a natural problem solver who enjoys diving in to help customers with their initial technical hurdles. Language Skills: Fluent in English and capable of speaking European languages (e.g., French, Spanish, German) in a business environment. What You Bring 5+ years in a customer-facing technical role (Technical CSM, Solutions Architect, or Sales Engineer) within the Data/SaaS space. Analytics & AI Depth: Strong knowledge of the modern data stack (Snowflake/BigQuery/Databricks) and an understanding of LLM-based applications or AI Agents. Developer Literacy: Proficiency in SQL and familiarity with JavaScript/TypeScript frameworks (React, Angular, or Vue) for supporting embedded use cases. Integration Knowledge: Comfort discussing REST APIs, webhooks, and security protocols like SAML/OIDC. The "Consultative Edge": Ability to translate complex technical "how-to" into strategic "why-it-matters" for executive stakeholders. Education: Master's/Bachelor's Degree preferred but not required. Mandatory and Required Skills for All ThoughtSpot Roles Spotters are expected to demonstrate AI literacy and workflow integration, including the ability to: Comfortably and confidently integrate artificial intelligence into daily workflows to increase productivity and quality. Hands-on experience leveraging AI tools (industry-leading LLMs) to increase productivity, automate routine tasks, and improve work quality. Describe experience using AI for research, content creation, and document summarization while maintaining ownership of judgment and final decisions. Write effective prompts to obtain accurate and creative results from AI tools. Spotters are expected to exemplify these key traits and AI Mindset: Curiosity in exploring new AI tools Adaptability to quickly learn and implement new, emerging AI technologies Critical thinking to know when to identify when AI should be used versus when human judgement is necessary This combination of curiosity, adaptability, and discernment defines the AI mindset and is required for every role at ThoughtSpot. AI Mindset for All Spotters At ThoughtSpot, we believe AI is a necessary and essential part of how we work. Every role, across every team, is expected to be fluent and comfortable with using AI to do their best work. All Spotters are expected to experiment with ThoughtSpot's AI tools and leading industry LLMs to streamline workflows, enhance output, and uncover new insights. Whether drafting content, analyzing data, or summarizing documents, AI is a daily partner. We value curiosity, openness to learning, and thoughtful application of AI to create real value. Training and resources are provided so every Spotter can confidently create with AI. Hybrid Work at ThoughtSpot This office-assigned role is available as a hybrid position, reporting to the office in the UK - London. Spotters assigned to an office are encouraged to experience the energy of their local office with an in-office expectation of 2-3 days per week. This approach balances the benefits of in-person collaboration and peer learning with the flexibility needed by individuals and teams. ThoughtSpot for All At ThoughtSpot, diverse teams build better products. Complex data problems need many perspectives, not just one. We welcome different backgrounds, identities, and experiences, and we work to create a place where everyone can be themselves and do their best work. If this role excites you and you believe you're a strong match, we encourage you to apply. What Makes ThoughtSpot a Great Place to Work? ThoughtSpot is the Agentic Analytics Platform that empowers every enterprise to transform insights into action, on a mission to make the world more fact driven. We hire people with unique identities, backgrounds, and perspectives; this balance-for-the-better philosophy is key to our success. When paired with our culture of Trust, Customer Obsession, Innovation and Intensity, ThoughtSpot cultivates a respectful culture that pushes norms to create world-class products. If you're excited by the opportunity to work with some of the brightest minds in the business and make your mark on a truly innovative company, we invite you to read more about our mission, and apply to the role that's right for you. About ThoughtSpot The world's most innovative companies turn to ThoughtSpot's AI-Powered Analytics to put data in the hands of everyone, from the C-suite to the frontline. With simple, natural language search and AI, anyone can ask questions, discover insights, and act with confidence. Unlike legacy tools that sacrifice performance for complexity, ThoughtSpot is intuitively designed for every business user while being built to handle the most complex, large-scale data, wherever it resides. This unique combination of speed and simplicity is why enterprise leaders trust ThoughtSpot to transform decision-making into a truly data-driven culture. At ThoughtSpot, we're a curious, data-driven bunch. We believe the world works better when everyone has access to facts. That's why we build products that make asking and answering data questions as natural as having a conversation.
Method Resourcing Solutions Ltd
Director of Machine Learning & AI Location: London/Remote Package: Strong Salary + Benefits We're partnered with a fast-growing tech business that's investing heavily in its AI capability. They're looking for a proven ML/AI leader who can take charge of multiple high-performing teams and set the direction for how Machine Learning is built and scaled across the organisation. This isn't about "experiments in the corner", it's about shaping strategy, leading delivery, and putting advanced ML systems into production where they make a measurable difference. What you'll be doing: Leading and scaling cross-functional teams (Data Science, ML Engineering, Software Engineering, Managers). Defining the ML/AI roadmap and aligning it to business outcomes. Driving best practice in MLOps, deployment, observability, and automation. Working with cutting-edge approaches: deep learning frameworks, foundation models, knowledge graphs, etc. Being the voice of ML/AI leadership, setting standards, mentoring, and building a culture of delivery. What they're looking for: You've built and run ML teams at scale, and delivered systems into production, not just research. Technical depth in modern ML/AI (from LLMs to advanced ML infra). Strong grasp of cloud-native, containerised environments and modern engineering practice. Credibility with both exec stakeholders and engineers, you can set strategy and still talk technical detail when needed. Bonus if you've operated in complex, regulated, or high-transaction environments. Why this role: Serious investment in AI/ML High autonomy and direct impact on how the organisation uses ML at scale Forward-looking culture: growth budget for self-development, modern tech stack, flexibility in where and how you work. A chance to define and own the ML strategy in a business that sees it as a competitive edge, not a side project. If you're a Machine Learning Director who wants to be at the centre of a real AI build-out; leading teams, shaping strategy, and delivering meaningful impact, this is one of those rare opportunities. Director of Machine Learning & AI RSG Plc is acting as an Employment Agency in relation to this vacancy.
Director of Machine Learning & AI Location: London/Remote Package: Strong Salary + Benefits We're partnered with a fast-growing tech business that's investing heavily in its AI capability. They're looking for a proven ML/AI leader who can take charge of multiple high-performing teams and set the direction for how Machine Learning is built and scaled across the organisation. This isn't about "experiments in the corner", it's about shaping strategy, leading delivery, and putting advanced ML systems into production where they make a measurable difference. What you'll be doing: Leading and scaling cross-functional teams (Data Science, ML Engineering, Software Engineering, Managers). Defining the ML/AI roadmap and aligning it to business outcomes. Driving best practice in MLOps, deployment, observability, and automation. Working with cutting-edge approaches: deep learning frameworks, foundation models, knowledge graphs, etc. Being the voice of ML/AI leadership, setting standards, mentoring, and building a culture of delivery. What they're looking for: You've built and run ML teams at scale, and delivered systems into production, not just research. Technical depth in modern ML/AI (from LLMs to advanced ML infra). Strong grasp of cloud-native, containerised environments and modern engineering practice. Credibility with both exec stakeholders and engineers, you can set strategy and still talk technical detail when needed. Bonus if you've operated in complex, regulated, or high-transaction environments. Why this role: Serious investment in AI/ML High autonomy and direct impact on how the organisation uses ML at scale Forward-looking culture: growth budget for self-development, modern tech stack, flexibility in where and how you work. A chance to define and own the ML strategy in a business that sees it as a competitive edge, not a side project. If you're a Machine Learning Director who wants to be at the centre of a real AI build-out; leading teams, shaping strategy, and delivering meaningful impact, this is one of those rare opportunities. Director of Machine Learning & AI RSG Plc is acting as an Employment Agency in relation to this vacancy.
