Staff AI Engineer

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 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.

Your mission at Birdie

We strongly believe that data holds the key to unlock innovation in social care. It is the foundation of how we learn as a company as well as how we enable our customers to improve their services. Our applications and services generate a wealth of rich data - it is essential that we’re able to process, analyse & deliver as much of it as possible to improve the lives of older adults. You will help maintain and build out our next-generation data platform enabling Birdie services to exchange data in real-time allowing product squads to quickly develop features building on information captured by other services.

How you will contribute

• Build out our AI Product Vision using the right technologies to solve today’s problems as well as the challenges Birdie will face in the future.
• Have a deep interest in understanding our users workflows and pain points looking for novel ways through AI to solve them.
• Develop AI-driven tools, models, and documentation willing to share knowledge and up skill our broader engineering teams.
• Build and maintain AI infrastructure leveraging the latest technology approaches.
• Ensure seamless integration of AI into existing platform and customer-facing processes.

We’d love to hear from you if you have:

• At least 2 years of experience working in an AI engineering or machine learning role supporting customer-facing processes and infrastructure.
• Experience working in a cross functional product engineering squad with deep interest in understanding and solving end user problems.
• Proven expertise in building scalable machine learning models and deploying them into production environments.
• Passionate about enabling others with tools, frameworks, and documentation.
• A technical leader who stays curious about emerging technologies.
• Strong communicator capable of explaining complex AI concepts in simple terms understandable by non-technical audiences.
• Quality-focused advocate for best practices in model training, testing, and deployment.
• Outcome-driven prioritising delivering impactful solutions.
• Deeply committed to ethical AI practices, including data privacy, clinical safety, security, and fairness in algorithmic decision-making.

What are the benefits?

• Competitive salary packages, the role is £80k - £100k per annum.
• Generous stock options to any permanent employee at the end of the probation period.
• Annual personal development budget for books, courses, trainings and conferences.
• Access to a WFH equipment budget.
• 33 days of holiday (inclusive of bank holidays).
• Birdie will pay you for 2 days of volunteering each year.
• Sabbatical of up to 3 months after 4 years.
• Comprehensive health insurance with AXA.
• Cycle to work scheme.
• Highly favourable parental leave policy.
• 5 additional paid days of leave for fertility treatment support.
• Employer pension contribution of 4% when you contribute 5%.
• Frequent company socials, trips and meals.
• Commitment to diversity, equity, inclusion and belonging.