Working Pattern : Hybrid (1-2 days per week in office)Location : LondonAs a company for whom AI is the product, it should be no surprise that our Data Science team is at the heart of everything we do at Sprout - building innovative products, researching new techniques for using Artificial Intelligence in claims automation, and pushing the boundaries of what our product can achieve.As a globally dispersed team, our Data Science team brings together a diverse range of expertise and backgrounds; what unites us is a desire to learn, a mastery of our discipline, strong mathematical and statistical skills, and software engineering prowess. We typically specialise in fields such as Computer Vision, LLMs and Deep Learning.Our Machine Learning Engineers are responsible for all aspects of the AI lifecycle, from understanding business problems, preparing training data, assisting the data scientists in designing and building models, and deploying them into production. We work in cross-functional squads, so you will work collaboratively with Data Scientists, Software Engineers, Product and Engagement Managers on your designated project.You will not only work on the development and productionisation of sophisticated ML products, but also shape the future of our AI capabilities. You will have the opportunity to mentor junior team members, influence strategic decisions, and directly impact our customers’ experiences.If you are passionate about transforming industries with AI and want to work with an innovative, ambitious team, we would love to hear from you. Apply now and help shape the future of claims automation.Responsibilities

Develop features for our state-of-the-art claims automation platformBuild and deploy machine learning algorithms and models to production within product teamsProvide technical guidance and input on the design and implementation of machine learning algorithmsSupport with customer PoVs and onboardingUnderstand business problems and product requirements and help translate these into technical solutionsExecute and deliver full AI/ML solutions from sourcing training data, design and implementing state-of-the-art machine learning models, testing, benchmark and product-driven research for model performance improvement, to shipping stable, tested, performant code in an agile environment.Work closely with Product Managers to help shape the product roadmap from a Data Science perspectiveContribute to Data Science strategy and the technical roadmap in conjunction with our Head of AIProactively seek to improve the way that Data Science operates at Sprout.aiSupport the education of the business and customers on how our Data Science teams workStay updated on the latest trends and advancements in Artificial Intelligence.Skills, Knowledge, and Experience

Technical proficiencyYou write production-grade, scalable Python code, ensuring that your models are robust, maintainable, and optimised for performance.Comfortable with PyTorchKnowledge of Transformer-based modelsKnowledge of Large Language Models (LLMs)Proven experience of having delivered successful machine learning projects into productionStrong understanding of software development fundamentals, in particular deploying models to production and how to set up pipelines.Demonstrate expertise in deep learning for computer vision, natural language processing, reinforcement learning etcDisplays in depth knowledge in machine learning best practices, scalable training and deployment, model introspection and evaluationUnderstanding of the fundamentals in Mathematics, Statistics and Data AnalysisExperience working in an Agile environment and knowledge of how Agile methodologies can be applied to Data Science teams in terms of process, practice, team culture and the delivery of workAbility to convert customer requirements or business challenges into well-defined machine learning solutionsWe are using many technologies day to day such as various AWS services, GCP, Kubernetes, Ray Serve, Kubeflow, and ReTool. Any experience in these areas would be a bonusSprout.ai Values

Hungry for Growth

- Unleash your inner Sprout: Sprouts embrace growth, forget comfort zones, and help Sprout.ai thrive.Own It, Deliver It

- We commit, we deliver, and we exceed expectations - it''s how we achieve outstanding outcomes for our customers.Seed Innovation

- The future is shaped by those who dare to innovate. We embrace this mindset, planting the seeds for future growth, experimenting fearlessly and taking bold actions that unleash our ability to scale.Collaborate to Blossom

- We cultivate collaboration, working together to create a vibrant and diverse ecosystem where every Sprout can thrive. It drives better results, and creates a better environment for us all.Compensation, benefits and perks

Sprout.ai Share Options28 days’ annual leave (plus bank holidays)Hybrid working with up to 4 days per week working from homePrivate Health Insurance + Dental InsuranceLearning and Development budgetMonthly socials, both in London and VirtualWeWork perks - barista, social events, snacks etc.Macbook Pro + home working setupAbout Sprout.ai

Sprout.ai was established in London, UK in 2018 with a mission to help people in their time of need when making an insurance claim. Inefficient claims processing for the insurer meant that customer experience was suffering and people were losing faith in their insurance policies. The average insurance customer was having to wait over 25 days to receive an outcome on their claim, often in times of vulnerability.The barriers to rapid claims settlement were clear; understanding of unstructured data, complexity and volume of decision making, legacy systems and processes.Sprout.ai’s patented claims automation platform solves these challenges, and has already delivered instant claims settlement on millions of insurance claims around the world. Our proprietary AI products can automate every step of the claims journey: extracting and enhancing relevant claims data, cross-checking this with policies and providing recommendations to conclude a claim in near real-time. Our tools are allowing claims handlers to spend more time with customers, where human touch and empathy can make the most difference to their customers.Leading VCs saw our company vision to ‘make every claim better’ and have supported our growth journey. This includes our $11M Series A led by Octopus Ventures in 2021 and in total we have raised over $20M.

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