• Support the identification, automation, and optimization of key business processes • Learn various processes and functions within the Managed Care industry • Contribute to projects that support the business • Research various legal, regulatory, and other topics within functional area and industry

Role Description The Technology & Engineering department at Future offers a collaborative, collegiate environment focused on delivering, well-engineered, and scalable solutions. We host regular hack days, emphasise best practices through technology-oriented guilds, and prioritise personal development with resources for learning. This is a role within the new "Lab Squad" dedicated to building Open Platform (internally "Ember"), a scalable, creator-first ecosystem. As the AI Engineer, Open Platform, you will be the primary driver for designing and implementing the Auto-Moderation Service and other AI-driven capabilities that enable us to scale from dozens to thousands of creators safely. Your work will directly automate content, ensure brand safety, and improve creator workflows using LLMs and automation frameworks. You will report into the Tech Lead and work with Full Stack Developers to embed intelligent agents and automated decision-making directly into the platform's core architecture. Qualifications - Experience operating at a Mid to Senior level in a relevant technical role (Automation, Software Engineering, AI/ML Engineering). - Hands-on experience applying AI/ML concepts (specifically NLP, LLMs, embeddings, and RAG) to solve practical business problems. - Expertise in designing autonomous agent architectures, including agent memory, strict safety guardrails, and task performance. - Experience designing and implementing process automation solutions using workflow tools (especially Temporal.io, n8n) or custom scripting. - Proficiency in Python (for AI/ML services) and TypeScript/Node.js (for integration). - Understanding of modern best practices: version control (Git), CI/CD principles, automated testing, and writing clean, maintainable code. - Ability to design AI services that integrate cleanly with modern web architectures (REST/GraphQL APIs, microservices) and existing platforms. - Identify opportunities to automate personal workflows and tasks, showcasing a commitment to efficiency through the use of AI tools (e.g., Cursor, Windsurf, Copilot, and Bolt). - A customer-centric mindset, empathy for end-user needs, and a coaching approach with a willingness to share knowledge. Requirements - The expected range for this role is £60,000-£65,000. - This is a UK, Remote-based role. Benefits - Uncapped leave, because we trust you to manage your workload and time. - When we hit our targets, enjoy a share of our profits with a bonus. - Refer a friend and get rewarded when they join Future. - Well-being support with access to our Colleague Assistant Programmes. - Opportunity to purchase shares in Future, with our Share Incentive Plan. - Internal job family level T6.

Role Description The Technology & Engineering department at Future offers a collaborative, collegiate environment focused on delivering well-engineered and scalable solutions. We look to answer critical challenges posed both by our product and commercial teams and from within the department. Your mission is to bring intelligence to our email marketing by optimising and integrating Advisor, Future's proprietary AI recommendation engine. You will ensure that every email we send—whether a newsletter or a marketing trigger—contains hyper-personalised content tailored to the individual user's interests and behaviours. You will report into the Tech lead, and work alongside our Full Stack Developers and Data Engineers to bridge the gap between our Single Customer View (SCV) data and the final email content, enabling "Next Best Action" decision-making at scale. Qualifications - AI/ML Engineering: Background in building and deploying machine learning models, specifically recommender systems (collaborative filtering, content-based filtering) or personalization engines. - Python Proficiency: Expert-level Python skills for data manipulation (Pandas, NumPy) and model development (Scikit-learn, TensorFlow/PyTorch). - Data Engineering Awareness: Comfort working with large datasets and data pipelines, understanding how to query and feature-engineer from data warehouses (e.g., BigQuery). - API Development: Ability to wrap models in performant APIs (FastAPI/Flask) for real-time inference during email assembly. - MarTech Context: Understanding of marketing KPIs (Open Rate, CTR, Conversion) and how AI can directly impact them. - Cloud Experience: Familiarity with deploying ML services on cloud platforms (AWS/GCP/Azure). Requirements - The expected range for this role is £60,000 - £65,000. - This is a UK, Remote-based role. Benefits - Uncapped leave, because we trust you to manage your workload and time. - When we hit our targets, enjoy a share of our profits with a bonus. - Refer a friend and get rewarded when they join Future. - Well-being support with access to our Colleague Assistant Programmes. - Opportunity to purchase shares in Future, with our Share Incentive Plan. - Internal job family level T6.

• Design and develop scalable AI-enabled backend systems and applications • Integrate LLM APIs (OpenAI, LangChain, etc.) into business use cases • Build and maintain backend services and APIs for AI-driven features • Contribute to development of AI-powered applications (chatbots, automation tools, etc.) • Guide and support junior developers, ensuring code quality and best practices • Work on improving performance, latency, and reliability of AI systems • Collaborate with cross-functional teams to translate requirements into solutions • Troubleshoot and debug issues in production systems • Participate in sprint planning and ensure timely delivery of assigned modules • Work with basic MLOps practices, including model deployment, monitoring, and versioning (good to have)