C the Signs

• Own end-to-end design across key product areas — from early-stage wireframes and flows to polished, production-ready UI • Design experiences that reduce friction and build trust, particularly for users navigating sensitive clinical information or receiving risk assessments • Translate complex clinical logic, AI outputs, and data-heavy workflows into clear, accessible, human-centred interfaces • Contribute to and help evolve our design system, ensuring consistency and scalability across web and mobile surfaces • Lead or support lightweight user research — interviews, usability testing, and workflow observation — with NHS clinicians and patients • Synthesise insights from customer support, customer success, and clinical feedback to continuously improve the experience • Identify friction points and unmet needs across our user journeys and present findings clearly to the wider product team • Partner with Product Managers, Engineers, Commercial teams and Clinical Advisors to ship well-considered, high-quality product experiences • Work closely with Customer Success and Support to ensure product decisions reflect real-world clinical implementation needs • Communicate design decisions clearly to both technical and non-technical stakeholders — articulating the 'why' behind every choice • Collaborate with Marketing on go-to-market assets and patient-facing content where design quality matters

• Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning. • Design, build, and maintain scalable data pipelines to ingest, process, and store massive and diverse healthcare datasets. • Implement robust data validation and monitoring to ensure the integrity, accuracy, and consistency of all training datasets. • Implement robust data cleaning, validation, and transformation processes to ensure data quality and integrity. • Develop and optimize data structures and schemas for efficient access and utilization by LLMs and machine learning models. • Work with the team to identify and acquire new data sources, ensuring compliance with relevant healthcare regulations (e.g., HIPAA). • Monitor data pipeline performance, troubleshoot issues, and implement optimizations to improve efficiency and reliability. • Document data engineering processes, data models, and data dictionaries. • Stay up-to-date with the latest advancements in data engineering, big data technologies, and machine learning.

Position SummaryThe Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing, model training, and fine-tuning using large-scale healthcare datasets. This role requires a strong understanding of Large language models, machine learning principles, data engineering, and experience working with sensitive healthcare data. Key Responsibilities - Data Preprocessing: Clean, transform, and prepare large, complex healthcare datasets for machine learning model development. This includes handling missing values, outlier detection, feature engineering, and data normalization. Identify, collect, and curate relevant, industry-specific datasets for model retraining. Format data appropriately for the chosen LLM and training pipeline - Model Training & Fine-Tuning: Design, train, and fine-tune various LLMs on extensive healthcare data to solve specific clinical or operational problems. Set up and manage the training environment, including GPU instances and required software. Train and fine-tune pre-trained LLMs on the custom dataset to achieve specific goals. Experiment with and fine-tune hyperparameters such as learning rate, batch size, and training epochs to optimize model performance. Integration of structured + unstructured data (multi-modal/multi-input models) - Model Evaluation & Optimization: Evaluate model performance using appropriate metrics, identify areas for improvement, and implement optimization strategies. - Pipeline Development: Develop and maintain robust and scalable data and ML pipelines for model training, inference, and deployment. - Collaboration: Work closely with data scientists, clinicians, and software engineers to understand requirements, integrate models into production systems, and ensure data privacy and security compliance. - Research & Development: Stay up-to-date with the latest advancements in machine learning and healthcare AI, and explore new technologies and methodologies to enhance our solutions. - Documentation: Maintain clear and comprehensive documentation of models, data pipelines, and experimental results.

• Act as the embedded clinical expert for two product squads, providing on-demand guidance on NHS workflows, care pathways, and patient safety considerations • Review and challenge product decisions from a clinical lens — identifying where assumptions diverge from how care is actually delivered across primary, secondary, and community settings • Evaluate new feature proposals for clinical accuracy, feasibility, and risk • Lead or support clinical discovery: interviews with clinicians, site visits, and workflow observation across NHS and independent sector settings • Synthesise NICE guidelines, NHS England policy, and clinical evidence to inform product direction • Identify unmet clinical needs — particularly around NHS operational pressures, workforce constraints, and care pathway inefficiencies — that represent product opportunities • Bridge the gap between clinicians, PMs, engineers, and designers — translating clinical concepts into language the team can act on, and product concepts into language clinicians can evaluate • Partner with regulatory teams as the Clinical Safety Lead, taking ownership of UK compliance requirements including DCB0129/DCB0160 clinical safety standards and MHRA regulations for Software as a Medical Device (SaMD) to ensure these are embedded into every product decision • Support go-to-market and customer success teams with clinical content and NHS implementation guidance • Advise on and project manage clinical implementation within NHS environments — from configuration decisions to change management for clinical staff navigating existing systems (e.g. EMIS, SystmOne, Epic) • Contribute to clinical documentation, training materials, and onboarding resources suited to NHS workflows • Gather feedback from clinical users post-launch and feed insights back into the product cycle

C the Signs is dedicated to transforming the future of cancer care through our innovative AI-powered platform. We empower healthcare professionals and patients with the tools and information needed to effectively recognize cancer symptoms, ensuring timely treatment and improved outcomes. As we expand our impact, we are looking for a passionate Clinical Product Lead to join our talented team. This role We're looking for a Clinical Product Lead to join our growing Product team at the intersection of clinical practice and digital health innovation.  Reporting to the UK Product Director, this is a unique role where you will work closely with product teams, product managers, customer success, customer support and leadership.\ Your role is to reflect the customer voice in the room, ensuring that 360 feedback, discovery, commercial alignment and patient benefit is evaluated while serving as the clinical expert: grounding product decisions in real-world NHS care delivery, mitigating any clinical risk, and translating complex healthcare workflows into actionable insight for the product team. What you’ll do Clinical Advisory & Validation - Act as the embedded clinical expert for two product squads, providing on-demand guidance on NHS workflows, care pathways, and patient safety considerations - Review and challenge product decisions from a clinical lens — identifying where assumptions diverge from how care is actually delivered across primary, secondary, and community settings - Evaluate new feature proposals for clinical accuracy, feasibility, and risk Discovery & Research - Lead or support clinical discovery: interviews with clinicians, site visits, and workflow observation across NHS and independent sector settings - Synthesise NICE guidelines, NHS England policy, and clinical evidence to inform product direction - Identify unmet clinical needs — particularly around NHS operational pressures, workforce constraints, and care pathway inefficiencies — that represent product opportunities Cross-functional Collaboration - Bridge the gap between clinicians, PMs, engineers, and designers — translating clinical concepts into language the team can act on, and product concepts into language clinicians can evaluate - Partner with regulatory teams as the Clinical Safety Lead, taking ownership of UK compliance requirements including DCB0129/DCB0160 clinical safety standards and MHRA regulations for Software as a Medical Device (SaMD) to ensure these are embedded into every product decision - Support go-to-market and customer success teams with clinical content and NHS implementation guidance  Implementation & Adoption - Advise on and project manage clinical implementation within NHS environments — from configuration decisions to change management for clinical staff navigating existing systems (e.g. EMIS, SystmOne, Epic) - Contribute to clinical documentation, training materials, and onboarding resources suited to NHS workflows - Gather feedback from clinical users post-launch and feed insights back into the product cycle

- Own the product roadmap for your area, balancing clinical outcomes, regulatory requirements, and commercial priorities - Lead structured discovery and user research processes to surface unmet needs and validate assumptions before committing to build - Partner with commercial and GTM teams to ensure product decisions are grounded in market opportunity, customer value, and business impact - Help shape how we build for a regulated environment: contributing to our ISO13485 and Class II certification processes and ensuring product development follows MDR/UKCA frameworks throughout - Collaborate with clinical advisors and end users to translate complex healthcare workflows into elegant, usable product experiences - Define clear problem statements, success metrics, and acceptance criteria to guide engineering and design - Contribute to strategic planning and help shape the longer-term product vision - Represent the voice of the user and the market internally, championing evidence-based decision making

• Architecting and Implementing Agentic Workflows • Design Autonomous Loops: Build stateful control loops (Perception -> Reasoning -> Action) where agents can interpret clinical data, plan necessary checks, and generate risk assessments. • Conversational Agentic workflow: Chatbot style user experience powered by LLM • GCP Integration: Leverage Vertex AI for model serving and LLM models for reasoning, optimizing for long-context windows to process complex medical history. • RAG & Grounding: Implement "Enterprise Grounding" using Vertex AI Vector Search to ensure all agent outputs are strictly cited against official medical literature (e.g., medical research and guidelines). • Data & Tool Integration • Structured Data Access: Build robust Python tools (Function Calling) that allow agents to securely query BigQuery or other datastores for patient demographics and symptoms. • Security & Compliance: Ensure all AI operations comply with HIPAA/GDPR standards, implementing strict PII masking and data governance within the Google Cloud environment. • System Reliability: Deploy agents on Vertex AI, Cloud Run, or GKE, ensuring low-latency inference and high availability for clinical users. • Agent monitoring: implement effective product environment AI Agent execution monitoring and alert system to ensure SLA, safety and security compliance • Leadership & Strategy • Mentorship: Guide a team of engineers in MLOps best practices (CI/CD for models, evaluation pipelines). • Evaluation: Implement "LLM-as-a-Judge" frameworks to automatically test agent accuracy against "Golden Datasets" of clinical cases.

C the Signs is dedicated to transforming the future of cancer care through our innovative AI-powered platform. We empower healthcare professionals and patients with the tools and information needed to effectively recognize cancer symptoms, ensuring timely treatment and improved outcomes. Our platform has already achieved groundbreaking results, detecting over 70,000 cancers and supporting over 10 million patients. As we continue to grow and scale, this is a rare opportunity to shape the future of cancer care on a global scale. This role We're looking for a Senior Product Manager to join our growing Product team and take ownership of key areas of our platform. This is a high-impact role for someone who combines healthtech expertise, sharp commercial instincts and a genuine passion for translating user/client needs into cutting-edge products. Reporting into our UK Product Director, you'll work closely with clinical, engineering, commercial, data science, design, compliance and customer success stakeholders to define and deliver products that make a real difference to clinicians, to health systems, and ultimately to patients. This is a hands-on, high-impact role, and a rare opportunity to shape a category-defining health product at a pivotal stage of its growth.  You'll own everything from the roadmap of your product line to the execution, release and commercialisation of innovative features. This role requires a leader who can drive results across many groups, leveraging a data-oriented mindset to ensure our products provide measurable value to our clients and patients. What you’ll do - Own the product roadmap for your area, balancing clinical outcomes, regulatory requirements, and commercial priorities - Lead structured discovery and user research processes to surface unmet needs and validate assumptions before committing to build - Partner with commercial and GTM teams to ensure product decisions are grounded in market opportunity, customer value, and business impact - Help shape how we build for a regulated environment: contributing to our ISO13485 and Class II certification processes and ensuring product development follows MDR/UKCA frameworks throughout - Collaborate with clinical advisors and end users to translate complex healthcare workflows into elegant, usable product experiences - Define clear problem statements, success metrics, and acceptance criteria to guide engineering and design - Contribute to strategic planning and help shape the longer-term product vision - Represent the voice of the user and the market internally, championing evidence-based decision making

• Own the design vision for our consumer-facing platform across mobile and web • Design flows that reduce friction and build trust as users share sensitive information, learn their cancer risk, and navigate next steps in a moment of high anxiety and uncertainty • Translate complex risk assessment outputs and diagnostic pathways into clear, accessible user experiences • Partner closely with C-suite, Product, Engineering, and Marketing teams to deliver cohesive experiences that align with our business strategy • Conduct lightweight user research and testing to continuously validate and improve the experience • Establish and evolve design systems, principles, and best practices • Set the bar for design craft while balancing speed and quality in a fast-paced startup environment • Lay the groundwork for building and mentoring a design team over time

Design Lead (Direct-to-Consumer Health Tech Platform) About Us C the Signs is dedicated to transforming the future of cancer care through our innovative AI-powered platform. We empower healthcare professionals and patients with the tools and information needed to effectively recognize cancer symptoms, ensuring timely treatment and improved outcomes. As we expand our impact into new markets, we are looking for a passionate Design Lead to join our talented team. This Role We’re looking for a Design Lead to take our product from zero to one, and beyond. This role sits at the intersection of product, AI modeling, and care navigation. It requires not just exceptional design craft, but also deep empathy for users who may be facing uncertainty or receiving difficult health information. You’ll lead design strategy and execution across our direct-to-consumer platform, ensuring every interaction is intuitive, supportive, and grounded in trust. This is a hands-on, high-impact role, and a rare opportunity to shape a category-defining health product at its earliest stages. You’ll be owning everything from core interaction patterns and emotional tone to developing a scalable design system. What You’ll Do - Own the design vision for our consumer-facing platform across mobile and web - Design flows that reduce friction and build trust as users share sensitive information, learn their cancer risk, and navigate next steps in a moment of high anxiety and uncertainty - Translate complex risk assessment outputs and diagnostic pathways into clear, accessible user experiences - Partner closely with C-suite, Product, Engineering, and Marketing teams to deliver cohesive experiences that align with our business strategy  - Conduct lightweight user research and testing to continuously validate and improve the experience - Establish and evolve design systems, principles, and best practices - Set the bar for design craft while balancing speed and quality in a fast-paced startup environment - Lay the groundwork for building and mentoring a design team over time