Job Title Senior Machine Learning Engineer Job Description As a Senior Machine Learning Engineer, you’ll take ownership of designing, building, and deploying advanced NLP systems and LLMs. You’ll experiment, iterate, and build quickly, working alongside a cross-functional team in a dynamic, fast-fail environment. Your work will have a direct impact on our product and business as we push the boundaries of what’s possible with AI What you will be Doing Build & Iterate Fast: Design, experiment, and deploy state-of-the-art NLP and LLM models. Quickly test hypotheses, optimise, and iterate based on real-world feedback. Lead Innovation: Push the envelope with cutting-edge NLP techniques and models (transformers, GPT, BERT, etc.) to solve challenging problems in language understanding, generation, extraction, and more. Shape the Product: Collaborate with engineers, product teams, and business leaders to align machine learning capabilities with product goals. Fail Fast, Learn Fast: Drive rapid experimentation and maintain a learning-oriented mindset to pivot quickly when necessary. Scale and Optimise: Take models from prototypes to production, optimising for performance, scalability, and efficiency. What type of person fits the role: Experience: 6+ years in machine learning, with deep expertise in NLP and LLMs/SLMs LLMs: Strong knowledge of large language models (LLMs) and experience with frameworks and libraries like Hugging Face, OpenAI API, LangChain, DeepSpeed, LlamaIndex, LiteLLM, vLLM, etc. Experience in model deployment and optimisation for inference speed and scalability is a plus. Prompt Engineering: Proven ability to design and optimise prompts for LLMs, including techniques like few-shot, zero-shot, chain-of-thought, and prompt tuning. RAG: Hands-on experience with Retrieval-Augmented Generation (RAG) to improve model performance in tasks such as question answering and document retrieval. Skills: Strong Python skills, experience with cloud ML platforms (AWS preferred), and ML frameworks (PyTorch, TensorFlow). Familiarity with Docker and Kubernetes for containerisation and deployment. Mindset: Entrepreneurial attitude with a "Build Fast, Fail Fast" approach, thriving in agile, iterative environments. About UnderwriteMe UnderwriteMe is an Insurtech software business and subsidiary of Pacific Life Re (PL Re), a global life and pensions reinsurance firm. We have a vision to help everyone purchase protection insurance by using data and disruptive technology to transform our partners and markets in order to make their underwriting processes as quick and efficient as possible. Our core products are: • Decision Platform - a B2B enterprise platform that provides a best-in-market Underwriting Rules Engine used by over 30 insurers to power their underwriting decisions. The product is sold across UK & Ireland, Asia-Pacific and North America. The platform combines our engine with technology to source and process third-party information supporting underwriting decisions for insurers. We are already working on capabilities, powered by AI, to make these decisions even more efficient. • Protection Platform - a B2B2C marketplace used by over 15,000 advisors to power quoting and purchase of protection products in the UK. We currently deliver 16% of the UK markets protection policies and we are already working to increase our reach. Working for UnderwriteMe Joining UnderwriteMe means being part of a technology company that is committed to bringing a fresh and dynamic approach to insurance. You’d be working with a team of highly technical experts made up of people with backgrounds in software, fintech, and insurance. Every person in our global team is valued for the unique qualities they bring to our business and we seek to build their expertise and support their individual ambitions at every step. Of course, we take our work seriously and we know our team can operate under great pressure. We work hard and thrive on achievement, but we also know how to have fun and relax too. We regularly host a range of team building days to strengthen our team's connection with each other and reflect on their successes. Providing employees with a healthy work-life balance is very important to our culture. We have a wide range of employee benefits and we host regular social activities and wellbeing initiatives. We are also committed to supporting our employee's involvement in their communities, by actively fundraising, hosting charity events, and overseeing volunteering opportunities. Benefits (Only for Permanent and Fixed Term Employees) Leave 25 days of annual leave with option to buy/sell more days Adoption and fertility leave Generous enhanced parental leave Healthcare Comprehensive private insurance coverage for employee and dependents Group Life Insurance coverage of 9x basic annual salary and Group Income Protection up to 75% of basic annual salary Optical benefits Savings & Retirement 15% combined employee/employer contributions Wellness Subsidized gym membership Access to Employee Assistance Program Cycle to Work and Electric Car Salary Sacrifice Scheme Time off for volunteering Charitable matching of employee donations As part of our commitment to accessibility for all, UnderwriteMe will, upon the request of the applicant, provide accommodation during the recruitment process to ensure equal access to applicants with disabilities. Please contact us about your needs, and we will consult with you to ensure suitable accommodation is provided. UnderwriteMe Values Please click here to view our company values UnderwriteMe is transforming the life insurance industry through technology by bringing Insurers, Intermediaries and Customers closer together in the marketplace. We recognise the need to change the life insurance application journey from a complicated, inefficient experience to one that makes the buying process easier and faster for customers and advisers alike. Founded in 2012, our journey started with the Underwriting Rules Engine and Protection Platform in the UK, and we have now grown to become a leading InsurTech provider across Europe, Asia and Australia.