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For Companies At a Glance
- Tasks: Develop backend services and integrate AI components for innovative healthcare solutions.
- Company: Global healthcare and AI research organisation pioneering life-changing treatments.
- Benefits: Competitive daily rate, flexible work environment, and opportunities for professional growth.
- Why this job: Join a mission-driven team transforming healthcare with cutting-edge AI technology.
- Qualifications: Strong Python skills and experience in backend development and cloud deployment.
- Other info: Collaborative culture focused on innovation and continuous learning.
The predicted salary is between 54000 - 72000 £ per year.
Job Description
£750 – £800 per day
2 days onsite
We're working with a global healthcare and AI research organisation that's pioneering the use of advanced Machine Learning to accelerate the discovery and delivery of life-changing treatments. Their vision is to enable faster, personalised therapies that improve patient outcomes worldwide – and they're seeking a Backend Software Engineer to help bring that mission to life.
The Role
You'll be joining a multidisciplinary AI/ML team responsible for developing the infrastructure and software that powers cutting-edge research and intelligent applications. The role focuses on backend development in Python, integrating AI components with data, compute, and frontend systems to create scalable, high-performance solutions.
Day-to-day responsibilities include:
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Designing and implementing backend services for Python-based web applications (e.g., FastAPI).
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Integrating AI and ML components into production systems and APIs.
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Writing high-quality, well-tested, and well-documented code following best practices.
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Developing and monitoring metrics to improve system reliability and performance.
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Collaborating closely with frontend engineers, data engineers, and ML specialists to build end-to-end pipelines.
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Participating in agile ceremonies and code reviews to uphold quality and delivery standards.
Tech Stack & Skills
Core skills:
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Strong Python backend development experience (FastAPI or similar frameworks)
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Cloud-native deployment experience (preferably Google Cloud and Cloud Run)
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Unit testing experience (pytest or similar frameworks)
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Familiarity with agile development and CI/CD processes
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Strong understanding of Git/GitHub workflows and DevOps tooling
Nice to have:
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Experience with Docker or multi-container application architecture
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Familiarity with AI/ML technologies such as LLMs, NLP, LangGraph, PydanticAI, or AutoGen
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Experience with biological or scientific datasets (genomics, proteomics, etc.)
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Exposure to frontend development (React preferred)
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Experience benchmarking and improving AI/ML models or agent-based systems
What You'll Bring
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A track record of delivering clean, production-grade backend systems
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A collaborative and proactive approach to working in cross-functional teams
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Passion for innovation and applying technology to advance scientific discovery
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A growth mindset with a focus on continuous learning and improvement
Why Join?
This is a unique opportunity to work at the intersection of AI, software engineering, and healthcare, contributing directly to products that accelerate the development of next-generation therapies. You'll join a forward-thinking team that values ownership, accountability, and continuous improvement, in an environment built for long-term collaboration and innovation.
Software & AI Engineer employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software & AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and AI/ML. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s mission. Be ready to discuss how your experience aligns with their goals, especially in healthcare and AI.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about joining our mission to improve patient outcomes.
We think you need these skills to ace Software & AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python backend development experience and any relevant projects. We want to see how your skills align with our mission in AI and healthcare, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for innovation and how you can contribute to our multidisciplinary team. Let us know why you’re excited about the role and our vision.
Showcase Your Projects: If you've worked on any cool projects, especially those involving AI/ML or cloud-native deployments, make sure to mention them. We love seeing practical examples of your work and how you tackle challenges.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Tech Stack
Make sure you’re well-versed in the tech stack mentioned in the job description, especially Python and FastAPI. Brush up on your cloud-native deployment skills, particularly with Google Cloud, as this will likely come up during technical discussions.
✨Showcase Your Collaboration Skills
Since the role involves working closely with frontend engineers and data specialists, be prepared to discuss your experience in cross-functional teams. Share specific examples of how you’ve collaborated on projects and contributed to team success.
✨Prepare for Coding Challenges
Expect to face coding challenges or technical questions during the interview. Practice writing clean, well-documented code and be ready to explain your thought process. Familiarise yourself with unit testing frameworks like pytest, as they may ask about your testing strategies.
✨Demonstrate Your Passion for AI/ML
This role is at the intersection of software engineering and AI, so show your enthusiasm for these fields. Discuss any relevant projects or experiences you have with AI/ML technologies, and express your eagerness to contribute to innovative solutions in healthcare.