Machine Learning Engineer, Sprout.ai
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1-2 days a week in office
Fraud filtering & claims automation for insurance
Be an early applicant
Fraud filtering & claims automation for insurance
21-100 employees
Be an early applicant
+ Share Options
1-2 days a week in office
21-100 employees
Company mission
To unlock the future of insurance, solving fraud detection and claims automation, while empowering insurers to deliver amazing customer experiences.
Role
Who you are
- 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
- You write production-grade, scalable Python code, ensuring that your models are robust, maintainable, and optimised for performance
- Comfortable with PyTorch
- Knowledge of Transformer-based models
- Knowledge of Large Language Models (LLMs)
- Proven experience of having delivered successful machine learning projects into production
- Strong 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 etc
- Displays in depth knowledge in machine learning best practices, scalable training and deployment, model introspection and evaluation
- Understanding of the fundamentals in Mathematics, Statistics and Data Analysis
- Experience 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 work
- Ability to convert customer requirements or business challenges into well-defined machine learning solutions
- We 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 bonus
What the job involves
- 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
- Develop features for our state-of-the-art claims automation platform
- Build and deploy machine learning algorithms and models to production within product teams
- Provide technical guidance and input on the design and implementation of machine learning algorithms
- Support with customer PoVs and onboarding
- Understand business problems and product requirements and help translate these into technical solutions
- Execute 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 perspective
- Contribute to Data Science strategy and the technical roadmap in conjunction with our Head of AI
- Proactively seek to improve the way that Data Science operates at Sprout.ai
- Support the education of the business and customers on how our Data Science teams work
- Stay updated on the latest trends and advancements in Artificial Intelligence
Salary benchmarks
Our take
Sprout.ai is a claims automation solution harnessing the power of contextual AI to revolutionise the insurance claims experience for global insurers and their consumers. It aids decision-making and helps triage and process claims better and faster, reducing processing time from weeks to hours.
The huge time saving it offers has helped the company attract attention from a number of large insurers across the world, including Zurich. It now has deployments across three continents, including Europe, South America and APAC. Sprout.ai’s technology is an industry first bringing much needed modernity to an industry that has classically been slowed down by workflow problems and stunted communication.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 6 rounds)
Mar 2024
$1.8m
EARLY VC
Oct 2023
$7.3m
EARLY VC
Total funding: $23.6m
Company benefits
- Flexible working
- Equity
Company HQ
London, UK
Leadership
Roi Amir
(CEO)Previously Vice President Of Engineering at Tractable, CTO then CCO at Zift Solutions, and Director of R&D at NICE Systems.
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