Staff AI Engineer

Birdie
London
About Birdie

Birdie is the leading home healthcare technology platform that aims to radically transform the lives of older adults. Its all-in-one solution supports around 4.8 million (and growing) care visits every month, equipping care providers with the tools they need to deliver better quality care and improve efficiency across most day-to-day operations. This enables us to collect over 1.5 billion data points on care recipient wellbeing each year, making Birdie the holder of the largest structured community healthcare dataset in Europe.

Birdie was founded in 2017, a B-Corp certified company that leverages technology to reimagine home care. With a total raise to date of $55M, we secured our Series B funding in 2022 led by Sofina, Omers, and Index Ventures, fuelling our mission to transform care.

Recognised for its innovation and impact, we have received numerous accolades, including ranking 6th in the 2023 Deloitte UK Technology Fast 50 and 21st in Deloitte's EMEA Technology Fast 500 in 2024. We joined Tech Nation's prestigious Future Fifty 2024 cohort and was featured in the Sifted 100 list of fastest-growing UK & Ireland startups in 2024. Furthermore, Birdie was named an NHS England Assured Supplier for Digital Social Care Records in 2023 and won the Innovative Solutions in Home Care Award at the 2024 Leaders in Care Awards.

Check out our principles and join us at Birdie as we continue to push the boundaries of what's possible in home healthcare. Together, we will continue to make a meaningful difference in the lives of millions.

Your mission at Birdie: Architecting AI Solutions for Enhanced Care

As a Staff AI Engineer, you will be instrumental in developing and scaling future product launches, building on our unique data set and latest technology advancements in generative and symbolic AI. You will rapidly design, develop and maintain applied AI solutions that optimise workflows for our partners, working in close partnership with our existing product teams to directly improve the quality and efficiency of care delivery in the community.

How you will contribute
  • Develop and Deploy AI Solutions: Design, build, and deploy scalable AI products and applications that address critical challenges in home care.
  • Analyse and Optimise User Workflows: Leverage AI to analyse user workflows and identify opportunities for optimisation, ensuring solutions align with user needs and deliver measurable improvements.
  • Build and Maintain Scalable Production AI Infrastructure: Architect and manage robust AI infrastructure, integrating models into our platform and ensuring seamless data flow using AWS SageMaker/Vertex AI.
  • Evaluate and Implement Emerging Technologies: Research and implement cutting-edge AI technologies, including generative AI and reinforcement learning, to enhance platform capabilities and drive innovation.
  • Build and maintain an evaluation and testing framework: Work in close collaboration with product and design to define key evaluation methodologies and approached to validating our AI products,
  • Collaborate and Share Knowledge: Work closely with data engineering, infrastructure, and product teams, contributing to documentation and knowledge-sharing initiatives.
  • Uphold Ethical AI Practices: Ensure all AI solutions adhere to the highest standards of data privacy, clinical safety, and algorithmic fairness.
Expected Outcomes:
  • Build AI-driven features that help our partners delivery better care more efficiently
  • Improve care provider efficiency through AI-powered tools.
  • Support the scalability and reliability of our AI infrastructure.
We'd love to hear from you if you have:
  • A passion for AI engineering, with a focus on deploying scalable solutions in production environments and expertise in healthcare industry applications.
  • Experience working in a cross functional product engineering squad with deep interest in understanding and solving end user problems.
  • A technical leader who stays curious about emerging technologies (e.g., generative AI, reinforcement learning) and rapidly evaluates their pros/cons for practical applications.
  • Proven expertise in building and deploying machine learning models using AWS SageMaker/Vertex AI.
  • Experience with ML frameworks such as PyTorch or TensorFlow.
  • Experience with cloud based API's such as OpenAI APIs or Hugging Face.
  • Excellent communication skills and the ability to articulate complex concepts.
  • A strong commitment to ethical AI practices and a passion for making a positive impact.
Join Our Mission:

If you are driven to use AI to transform lives and want to contribute to a mission-driven organisation, we encourage you to apply. Help us pioneer data-driven care at Birdie.

What are the benefits?

People are our core strength. We are social entrepreneurs, boasting an outstanding culture with strong values (B-Corp certified). We offer intentional benefits and invest in our team's growth, satisfaction and ability to thrive:

Compensation

Our salary packages are competitive, the role is £90k - £130k per annum. We also grant generous stock options to any permanent employee at the end of the probation period. We adjust salaries based on the cost of living index for employees based outside of the UK.

Location

This role will need to be based in the UK. We organise regular in-person events and online socials to make sure you can meet up with peers.

Birdie does not currently support any visa applications and therefore we do require permanent right to work in the UK.

L&D budget

Learning an growing is a fundamental part of Birdie life. You'll have an annual personal development budget to put towards books, courses, trainings and conferences; continuous coaching within the team and with external experts.

Work From Home budget

Making your workspace comfortable is important to us, you'll have access to a WFH equipment budget to ensure you have what you need.

Paid time off

We offer 33 days of holiday (inclusive of bank holidays) and close between Christmas and New Years outside of this. We also support you in celebrating the big moments, all Birdies get an extra "Birthday" day off and can choose to take it at any point in the year.

Birdie giving days

Birdie is a B-corp and we care deeply about ethical and social impact. Birdie will pay you for 2 days of volunteering (to a cause you're passionate about) each year.

Sabbaticals

We want Birdies to stick around for a while! After 4 years you can choose to take a sabbatical of up to 3 months.

Private health insurance & Gym and wellbeing discounts

Comprehensive health insurance with AXA that covers many physical and mental health costs. Gym discounts and numerous other wellbeing perks via Happl.

Cycle to work scheme

Birdie will buy a bike up-front and you can salary sacrifice to pay-off over the next 12-36 months

Parental Leave

Highly favourable parental leave policy; once you have spent twelve consecutive months on our payroll, primary caregivers are entitled to 26 weeks of parental leave at 100% of your usual salary and secondary caregivers are entitled to 12 weeks of parental leave, at 100% of your usual salary.

Fertility Leave

Birdie recognises the emotional and physical challenges of fertility treatment and investigations, and supports all Birdies by offering 5 additional paid days of leave.

Employer pension contribution

Birdie contributes 4% of your salary to your pension when you contribute 5% (UK Birdies)

Frequent company socials, trips and meals

We organise many socials, quarterly retreats and annual company-wide retreats

Diversity, Equity, Inclusion and Belonging

At Birdie, we're committed to creating an environment that promotes diversity, equity, inclusion and belonging.

It's essential to us that you're able to bring your authentic self to work every single day, no matter your age, ethnicity, religion, citizenship, gender identity, sexual orientation, disability status, caring responsibilities, neurodiversity, or otherwise and all applicants will be considered for employment without attention to these aspects.

If you have any questions regarding the interview process, or if you need any reasonable adjustments to be made, please don't hesitate to contact us.
Posted 2025-06-07

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