Does CFC UNDERWRITING LIMITED sponsor visas?

Insurance isn’t the first industry most engineers think of when they imagine cutting-edge AI work. That’s exactly why this role is interesting. CFC’s Data & AI unit is building production agentic systems that automate complex underwriting decisions - not chatbots, not copilots bolted onto legacy workflows, but autonomous multi-step AI agents that reason over unstructured data, assess risk, and drive real business outcomes. We’re using frameworks like LangChain to orchestrate LLM-driven services that sit at the heart of how the business operates. The problems are genuinely hard: ambiguous inputs, high-stakes decisions, and the kind of domain complexity that makes for satisfying engineering. We’re also fundamentally rethinking how we deliver software. We’re moving toward an agentic-first development model - using AI agents not just in what we build for the business, but in how we build it. The goal is to multiply engineering delivery by an order of magnitude: not by cutting corners or generating throwaway code, but by designing robust systems and processes that let agents handle well-defined work while engineers focus on architecture, design, and the problems that actually require human judgment. This is a deliberate, engineering-led approach. We care about code quality, testability, and maintainability - the agent-generated code meets the same standards as everything else. We expect that a successful candidate will be able to bring their expertise to help guide and refine our agentic development process as it matures - a meaningful opportunity to influence how we work as well as what we ship. This is a Senior Machine Learning / AI Engineer role with genuine technical leadership scope. You’ll shape the architecture of AI-driven production microservices, own system design decisions, and work at the intersection of traditional software engineering and applied AI. You’ll collaborate closely with engineers, data scientists, and product managers in a team that’s small enough for your decisions to matter and ambitious enough for the work to stay interesting. About the role Design, develop, and maintain business-critical AI agent services. Build tailored agent workflows and services from business requirements, using LangChain and related frameworks with reliable patterns for LLM-driven decision-making in production.  Integrate tests and validation to improve AI agents through evals and monitoring. Work with software engineers and architects to lead system design and architectural decisions. Translate technical specifications into clean, testable, and scalable production code. Work closely with cross-functional teams - engineers, data scientists, product managers - to deliver features on time and to a high standard. Write unit and integration tests to maintain reliability and service correctness. Monitor, troubleshoot, and continuously improve production services. Produce clear, structured documentation for systems, architecture, and processes. Mentor junior engineers through code reviews, best-practice guidance, and knowledge sharing. About you We’re looking for an experienced AI or Machine Learning Engineer with strong software engineering fundamentals and a passion for building robust, production-ready AI systems. You’ll be someone who enjoys solving complex technical problems, making thoughtful architectural decisions and working on systems where quality, reliability and maintainability really matter. You’ll have: Significant experience building production-grade AI agents or LLM-powered services. Strong Python development experience, ideally with 6+ years of professional software engineering experience. A track record of writing clean, maintainable and high-quality production code. Experience supporting business-critical systems in live production environments. Strong understanding of asynchronous programming, Docker, containerised deployments and modern service architectures. Experience designing distributed systems, asynchronous microservices and event-driven architectures. Confidence leading system design discussions and making pragmatic architectural trade-offs. Strong cloud experience, ideally within Azure. Experience deploying, monitoring and maintaining ML or LLM models in production. Familiarity with MLOps, LLMOps, evals, monitoring and lifecycle management. Hands-on experience orchestrating LLM workflows using frameworks such as LangChain. An interest in how agentic software development can improve engineering delivery without compromising code quality. Strong communication skills and the ability to collaborate effectively in remote or asynchronous environments. An ownership mindset, with the ability to work independently and contribute effectively to shared codebases. Core Values Love what you do: We show up each day ready to take on the world. Our passion and intensity set us apart and makes the difference to our colleagues, customers, brokers and carriers. Challenge everything: We’re never afraid to question the way that things are done and we constantly challenge ourselves and others to makes things better. Have fun, be good: Insurance is a serious business, but we don’t take ourselves too seriously. We make it fun to work at CFC, we welcome all viewpoints, and we treat everyone how we would expect to be treated. About CFC CFC is a specialist insurance provider, pioneering emerging risk and market leader in cyber. Our global insurance platform uses cutting-edge technology and data science to deliver smarter, faster underwriting and protect customers from today's most critical business risk. Headquartered in London with offices in New York, Melbourne, Sydney, Austin, Madrid, Brussels and Brisbane, CFC has over 1200 staff and is trusted by more than 100,000 businesses across 90 countries. At CFC, insurance isn't just about underwriting. From data science to software development, and digital marketing design, we've got something for everyone. We're passionate about pushing boundaries, thinking differently and building the insurance company of the future. CFC is committed to the principles of equal opportunities and creating an environment in which all individuals are always treated with dignity and respect. We encourage a diverse corporate culture of openness and appreciation to create an environment in which your talent can be developed in the best possible way. Should you require any reasonable adjustments at any stage of the recruitment process please let us know.

Insurance isn’t the first industry most data scientists think of when they imagine cutting-edge Artificial Intelligence (AI) work, but the incredibly rich data and nature of the business make it a great place to put cutting-edge AI to use. CFC's Data & AI team is building production agentic and ML systems that automate and inform complex underwriting decisions that drive real business outcomes - not demos, not proof-of-concepts sitting on a shelf. The team includes ML engineers and software engineers shipping production services, and this role sits alongside them as an analytical counterpart: running experiments, stress-testing assumptions, and generating the evidence that shapes what gets built and how it improves over time. We are looking for a mid-level Data Scientist to join the team that owns business-critical, live solutions utilising Large Language Models (LLMs), such as an email ingestion/extraction solution and underwriting agents. This is not a pure research or offline-modelling role - when research is carried out and potential opportunities identified it is expected that you will work closely with ML engineers and software engineers to build this into a live system, where quality, reliability, and evaluation rigor directly affects the business. We expect that a successful candidate will be able to own the data science side of a production LLM system end-to-end: partnering with stakeholders to build early prototypes, designing evaluation frameworks, measuring agent quality, and turning ambiguous "is this good?" questions into repeatable, defensible metrics - while working closely with engineers to understand what it takes to take that work from prototype to live system. About the role Explore complex, high dimensional, real-world datasets to uncover insights that meaningfully improve underwriting decisions and system performance at scale. Partner directly with underwriting and business stakeholders to scope problems, assess feasibility, and build early prototypes (e.g. PoC agents, rapid evaluation of an LLM approach) before committing engineering investment. Stay involved from prototype through to production, working with ML/software engineers to harden, scale, and maintain what you've built as a key contributor to the codebase. Design and run evaluation frameworks for LLM-powered agent behaviour, including offline (golden datasets, regression suites) and online (production monitoring, A/B testing) evaluation. Build and maintain analytical pipelines — prompt design, calibration against human labels, bias/consistency checks, LLM-as-a-judge, and ongoing validation that the judge stays trustworthy as the underlying models change. Partner with ML engineers to design system nodes/components, translating data science findings into concrete engineering requirements. Define quality metrics for agent outputs (accuracy, hallucination rate, task completion, groundedness, latency/cost trade-offs) and track them over time. Work with software engineers on productionising evaluation and monitoring code: CI/CD integration, release gating, and operational readiness (alerting, dashboards, on-call awareness). Actively explore cutting-edge developments in AI and machine learning — with the space and support to experiment, prototype, and bring new techniques into production where they add value. Investigate how agentic systems behave in production — identifying edge cases, failure modes, and opportunities to make systems more robust and reliable. Prototype and iterate on features for AI/ML pipelines, taking ideas from early exploration through to measurable impact in production services. Document experiments, findings, and methodologies clearly so that insights are reproducible and decisions are traceable. About you We're looking for a curious and technically strong Data Scientist who is passionate about applying AI and machine learning to complex, real-world business challenges. You'll be equally comfortable analysing data, designing experiments, engaging with stakeholders and collaborating with engineers to deliver production solutions. You'll have: Experience working in Data Science, Applied Machine Learning, NLP or LLM-focused roles. Strong Python and SQL skills, with experience working in production codebases and collaborative engineering environments. Hands-on experience evaluating, deploying and monitoring machine learning or LLM-powered applications. A solid understanding of experimentation, model evaluation, A/B testing and performance measurement. Experience working with modern AI frameworks, agent architectures or retrieval-augmented generation (RAG) solutions. Knowledge of cloud-based AI platforms, ideally within Azure. An understanding of how AI and ML systems are operationalised, monitored and maintained in production. Strong communication skills and the ability to translate complex technical concepts into practical business outcomes. Confidence working directly with both technical and non-technical stakeholders to solve ambiguous problems. An ownership mindset, with the ability to work independently while contributing effectively within a cross-functional team. Nice to have Prior experience in a business-critical / high-uptime production environment Experience with Databricks Understanding of asynchronous programming, containerised deployments (Docker), and modern service architectures Hands-on experience with Infrastructure as Code, particularly Terraform Experience designing and building distributed, asynchronous microservices using message brokers (e.g., Azure Service Bus, pub/sub). Knowledge of the insurance domain Core Values Love what you do: We show up each day ready to take on the world. Our passion and intensity set us apart and makes the difference to our colleagues, customers, brokers and carriers. Challenge everything: We’re never afraid to question the way that things are done and we constantly challenge ourselves and others to makes things better. Have fun, be good: Insurance is a serious business, but we don’t take ourselves too seriously. We make it fun to work at CFC, we welcome all viewpoints, and we treat everyone how we would expect to be treated. About CFC CFC is a specialist insurance provider, pioneering emerging risk and market leader in cyber. Our global insurance platform uses cutting-edge technology and data science to deliver smarter, faster underwriting and protect customers from today's most critical business risk. Headquartered in London with offices in New York, Melbourne, Sydney, Austin, Madrid, Brussels and Brisbane, CFC has over 1200 staff and is trusted by more than 100,000 businesses across 90 countries. At CFC, insurance isn't just about underwriting. From data science to software development, and digital marketing design, we've got something for everyone. We're passionate about pushing boundaries, thinking differently and building the insurance company of the future. CFC is committed to the principles of equal opportunities and creating an environment in which all individuals are always treated with dignity and respect. We encourage a diverse corporate culture of openness and appreciation to create an environment in which your talent can be developed in the best possible way. Should you require any reasonable adjustments at any stage of the recruitment process please let us know.

At CFC, technology is central to how we deliver specialist insurance products and services on a global scale. Our engineering teams build the platforms, tools and capabilities that enable the business to innovate, operate efficiently and create exceptional experiences for brokers and clients. We're seeking a Software Engineer to join our Engineering team. Working in a collaborative, product-led environment, you'll help design, build and support the applications and services that underpin CFC's technology platform. This is an opportunity to work across the full software development lifecycle, contribute to modern cloud-native solutions and play a key role in delivering products that have a direct impact on the business. About the role Design, develop and maintain applications using Angular and .NET/.NET Core technologies. Build and enhance cloud-native services within Microsoft Azure. Contribute to the full software development lifecycle, from discovery and design through to deployment and support. Collaborate with Product Owners, engineers and technical leads to deliver high-quality solutions aligned to business priorities. Investigate and resolve production issues to ensure platform stability, performance and reliability. Participate in agile delivery practices including refinement, sprint planning and retrospectives. Contribute to code reviews, pair programming and engineering best practices across the team. Support the development of scalable, maintainable and secure solutions through strong testing and automation practices. Contribute to solution design discussions and continuous improvement initiatives. Utilise AI-assisted development tools responsibly while maintaining ownership of quality, security and technical outcomes. About you You'll be a talented software engineer who enjoys solving complex problems and delivering high-quality solutions in a collaborative environment. You take ownership of your work, embrace continuous learning and are motivated by building technology that creates measurable business value. You'll ideally bring: Experience developing and supporting software solutions within an agile environment. Strong knowledge of .NET/.NET Core, ASP.NET and modern web application development. Experience with Angular or similar front-end frameworks. Experience working within cloud environments, ideally Microsoft Azure. Knowledge of Microsoft SQL Server, T-SQL and data-driven application development. Understanding of software design principles, development best practices and modern engineering approaches. Experience with testing frameworks, automation and CI/CD practices. Familiarity with tools such as Entity Framework and Test-Driven Development (TDD). Strong problem-solving and analytical skills. The ability to communicate effectively with both technical and non-technical stakeholders. A collaborative mindset and a commitment to delivering high-quality outcomes. At CFC, you'll join a technology team that values curiosity, collaboration and continuous improvement. You'll have the opportunity to work with modern technologies, contribute to meaningful products and help shape the future of a business that continues to challenge conventions within the insurance market. Core Values Love what you do: We show up each day ready to take on the world. Our passion and intensity set us apart and makes the difference to our colleagues, customers, brokers and carriers. Challenge everything: We’re never afraid to question the way that things are done and we constantly challenge ourselves and others to makes things better. Have fun, be good: Insurance is a serious business, but we don’t take ourselves too seriously. We make it fun to work at CFC, we welcome all viewpoints, and we treat everyone how we would expect to be treated. About CFC CFC is a specialist insurance provider, pioneering emerging risk and market leader in cyber. Our global insurance platform uses cutting-edge technology and data science to deliver smarter, faster underwriting and protect customers from today's most critical business risk. Headquartered in London with offices in New York, Melbourne, Sydney, Austin, Madrid, Brussels and Brisbane, CFC has over 1200 staff and is trusted by more than 100,000 businesses across 90 countries. At CFC, insurance isn't just about underwriting. From data science to software development, and digital marketing design, we've got something for everyone. We're passionate about pushing boundaries, thinking differently and building the insurance company of the future. CFC is committed to the principles of equal opportunities and creating an environment in which all individuals are always treated with dignity and respect. We encourage a diverse corporate culture of openness and appreciation to create an environment in which your talent can be developed in the best possible way. Should you require any reasonable adjustments at any stage of the recruitment process please let us know. Feeling like you need to tick every box before applying? We see things differently. In a rapidly scaling company like ours, ambition and the drive to learn count for more than a 'perfect' checklist. We're building the future of insurance, and that requires diverse talent eager to grow with us. If this role excites you and you're ready to make a significant impact, bring your unique background and let's build something great together.