Machine Learning Engineer

As a company for whom AI is the product, Sprout AI has a Data Science team at the heart of what we do—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 data scientists in designing and building models, and deploying them into production. We work in cross-functional squads, collaborating with Data Scientists, Software Engineers, Product and Engagement Managers on designated projects. You will have opportunities to mentor junior team members, influence strategic decisions, and directly impact customer 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.

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• 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 points of view and onboarding
  
• Understand business problems and product requirements and translate these into technical solutions
  
• Execute and deliver full AI/ML solutions—from sourcing training data and designing state-of-the-art models to testing, benchmarking, and shipping stable, tested code in an agile environment
  
• Work closely with Product Managers to shape the product roadmap from a Data Science perspective
  
• Contribute to Data Science strategy and the technical roadmap with the Head of AI
  
• Proactively seek to improve the way Data Science operates at Sprout.ai
  
• Educate the business and customers on how our Data Science teams work
  
• Stay updated on the latest trends and advancements in Artificial Intelligence
  

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• Technical proficiency
  
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  • Production-grade, scalable Python code; robust, maintainable, and performance-optimised models
    
  • Experience with PyTorch
    
  • Knowledge of Transformer-based models
    
  • Knowledge of Large Language Models (LLMs)
    
  
  
• Proven experience delivering successful machine learning projects into production
  
• Strong understanding of software development fundamentals, including deploying models to production and building pipelines
  
• Expertise in deep learning for computer vision, natural language processing, reinforcement learning, etc.
  
• Knowledge of ML best practices, scalable training and deployment, model introspection and evaluation
  
• Fundamentals in Mathematics, Statistics, and Data Analysis
  
• Experience in Agile environments and applying Agile methodologies to Data Science teams
  
• Ability to translate customer requirements or business challenges into well-defined ML solutions
  
• Familiarity with AWS, GCP, Kubernetes, Ray Serve, Kubeflow, and Retool; experience in these areas is a bonus
  

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• Hungry for Growth – Unleash your inner Sprout: grow, step beyond comfort zones, and help Sprout.ai thrive.
  
• Own It, Deliver It – We commit, we deliver, and we exceed expectations to achieve outstanding outcomes for our customers.
  
• Seed Innovation – The future is shaped by daring to innovate; plant seeds for growth, experiment fearlessly, and take bold actions to scale.
  
• Collaborate to Blossom – We cultivate collaboration to create a vibrant and diverse ecosystem where everyone can thrive.
  

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• Sprout.ai Share Options
  
• 28 days' annual leave (plus bank holidays)
  
• Hybrid working with up to 4 days per week working from home
  
• Private Health Insurance + Dental Insurance
  
• Learning and Development budget
  
• Monthly socials, both in London and virtual
  
• WeWork perks – barista, social events, snacks, etc.
  
• Macbook Pro + home working setup
  

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 waiting over 25 days to receive an outcome on their claim, often in times of vulnerability.

The barriers to rapid claims settlement included unstructured data, complexity and volume of decision making, legacy systems and processes. Sprout.ai's patented claims automation platform solves these challenges and has delivered instant claims settlement on millions of insurance claims worldwide. Our proprietary AI products can automate every step of the claims journey, enabling claims handlers to focus on the human element and customer care.

Leading VCs supported our growth, including an $11M Series A led by Octopus Ventures in 2021; overall funding has exceeded $20M.

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• Mid-Senior level
  

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• Full-time
  

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• Information Technology
  

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• IT Services and IT Consulting
  

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