Machine Learning Engineer

Posted 13 Days Ago
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London, Greater London, England
In-Office
Mid level
Artificial Intelligence • Information Technology • Insurance • Natural Language Processing • Software
The Role
Develop and deploy machine learning algorithms for claims automation, collaborate with cross-functional teams, mentor juniors, and influence AI capabilities.
Summary Generated by Built In

Working Pattern: Hybrid (1-2 days per week in office)

Location: London

As 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 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.
Skills, Knowledge, and Experience
  • Technical proficiency
    • 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
Sprout.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 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
About Sprout.ai

Founded in London in 2018, Sprout.ai was born from a simple belief: insurers should be there for policyholders in their time of need. Long delays, manual processes and outdated systems meant customers were often left waiting weeks for outcomes at their most vulnerable moments. We set out to change that.

Today, Sprout.ai is redefining insurance automation for insurers. Acting as the intelligence layer at the heart of operations, we bring advanced AI, digitisation, and data-driven processes to transform how claims and underwriting decisions are made.

Our mission is to make every interaction between insurers and policyholders accurate, fast, and fair, and our vision is to become the world’s most trusted insurance intelligence partner, powering billions of safe, explainable decisions for global insurers.

Sprout.ai integrates seamlessly into existing systems to deliver real-time claims automation and actionable insights, enabling expert teams to focus on complex cases with speed and empathy. Insurers use our platform to overcome legacy challenges, cost pressures, fraud risk, and regulatory demands, achieving tangible results including:

  • Up to two-thirds of claims processed automatically
  • 99% accuracy
  • Significant gains in customer satisfaction and operational efficiency

Backed by leading insurers and recognised with industry awards and ISO 27001 certification, Sprout,ai is the insurance intelligence automation platform injecting insights into claims and underwriting — changing insurance, for good.

Top Skills

Aws Services
GCP
Kubeflow
Kubernetes
Large Language Models (Llms)
Python
PyTorch
Ray Serve
Retool
Transformer-Based Models
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The Company
HQ: London
43 Employees
Year Founded: 2018

What We Do

Setting the new industry benchmark for AI claims automation & fraud qualification in insurance

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