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- Tasks: Design and maintain data pipelines, build ML/LLM pipelines, and ensure data quality.
- Company: Join a leading tech team transforming healthcare with innovative AI solutions.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Be part of a distributed team tackling significant industry problems.
- Why this job: Make a real impact in healthcare by solving complex data challenges.
- Qualifications: 7+ years in data engineering, proficient in Python, and experience with large datasets.
The predicted salary is between 70000 - 90000 £ per year.
Location: UK only | Remote Full time Permanent
Reports to: Head of Engineering
Existing Clients: Top 100 Lifesciences, MedTech and Pharma companies
Type: Full-time
Responsibilities:
- Design, build, and maintain batch/streaming data pipelines, ingestion, cleaning, normalisation, enrichment, deduplication.
- Build and own ML/LLM pipelines end-to-end: document parsing, chunking, embeddings generation, vector indexing, agentic tool calling, multi-step workflows, retries, fallbacks, and state handling.
- Write production-grade, well-tested Python that processes large volumes of data and documents reliably.
- Own pipeline health: if data is stale, broken, or wrong, it's on you.
- Work autonomously to project deadlines with minimal hand-holding.
Requirements:
- 7+ years in backend data-heavy development or data engineering.
- Highly proficient in Python.
- Hands-on experience with large datasets and high-velocity data streams (Kafka, Flink, Spark).
- Solid SQL skills (Postgres, BigQuery, or Snowflake) and NoSQL experience (DynamoDB, OpenSearch, Elastic).
- RAG architectures, embeddings/vector DBs, prompt engineering, function/tool calling, observability.
- Deep understanding of ETL/ELT patterns and data processing at scale.
- Experience with AWS data stack at scale.
- Built and shipped data, ML and LLM-powered pipelines in production.
We're a distributed team solving hard problems that will reshape the healthcare industry for a generation.
Senior AI & Data Engineer UK Permanent employer: Vamstar
Contact Detail:
Vamstar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI & Data Engineer UK Permanent
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in healthcare AI. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines or ML/LLM. 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. Be ready to discuss your experience with Python, SQL, and data processing at scale. We want to see how you tackle real-world problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates who are eager to reshape the healthcare industry.
We think you need these skills to ace Senior AI & Data Engineer UK Permanent
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match our job description. Highlight your backend data-heavy development experience and any relevant projects you've worked on, especially those involving Python and large datasets.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about healthcare AI and how your background makes you a great fit for our team. Share specific examples of your work with data pipelines and ML/LLM projects to really stand out.
Showcase Your Technical Skills: Don’t just list your skills; demonstrate them! If you’ve built or shipped data pipelines, mention the technologies you used, like Kafka or AWS. We want to see your hands-on experience and how you tackle challenges in data engineering.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Vamstar
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on your Python skills, and be ready to discuss your experience with data pipelines, Kafka, and SQL databases. Prepare to share specific examples of how you've built and maintained these systems.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios during the interview. Think about how you would handle stale or broken data in a pipeline. Demonstrating your thought process and problem-solving abilities will show that you can work autonomously and meet project deadlines.
✨Understand the Healthcare Context
Since this role is focused on healthcare AI, take some time to research the industry. Familiarise yourself with common challenges and trends in healthcare data. Showing genuine curiosity about how your work impacts the healthcare sector can set you apart from other candidates.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about the team, projects, and company culture. This not only shows your interest but also helps you gauge if the company is the right fit for you. Ask about their approach to data quality and how they handle pipeline health.