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- Tasks: Design and build scalable AI systems that improve patient outcomes.
- Company: A research-led consultancy driving innovation in the pharmaceutical sector.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by developing cutting-edge AI technologies.
- Qualifications: 3+ years of Python backend experience and hands-on AI system knowledge.
- Other info: Join a dynamic team with a focus on secure, scalable solutions.
The predicted salary is between 60000 - 84000 £ per year.
I'm currently hiring a Senior AI Engineer for a growing, research led consultancy building AI driven products used by leading global pharmaceutical organisations. This is a genuinely impactful role. You'll be developing production grade AI systems that support medical and commercial teams and ultimately contribute to better patient outcomes. The role is remote across the UK, with in person team meetings roughly every two months.
The opportunity: You'll join a highly capable engineering team focused on building secure, scalable AI platforms using modern LLM and agent based technologies. This is not a proof of concept environment. The emphasis is on production systems, robustness, and long term value. The role suits someone who enjoys technical ownership, depth, and working closely with product, data, and commercial teams.
Responsibilities:
- Designing and building scalable Python backend services in a secure, multi tenant environment
- Developing and maintaining REST and asynchronous APIs
- Building and evolving LLM powered systems, including agentic workflows, retrieval, context management, and model integration
- Collaborating on architecture, roadmap decisions, and code quality
- Designing data pipelines to support AI workflows, including validation, transformation, and enrichment
- Building and maintaining AWS based infrastructure using infrastructure as code
- Supporting CI/CD pipelines for reliable deployment and testing
- Working to high security and compliance standards, including ISO27001
What I'm looking for:
Essential experience:
- Strong Python backend engineering experience, ideally 3+ years
- Hands on experience using LLMs or AI systems in a production environment
- Solid AWS knowledge and experience with infrastructure as code
- Experience with LLM integration frameworks
- Experience with containers, orchestration, and CI/CD pipelines
- Good understanding of database scaling, caching, and performance optimisation
- Strong software engineering fundamentals and clean coding practices
Nice to have:
- Exposure to frontend frameworks such as React
- Background in healthcare or life sciences
- Familiarity with ISO27001 or regulated environments
- A curious, customer focused mindset and genuine interest in AI innovation
Senior AI Engineer in Milton employer: SoCode Limited
Contact Detail:
SoCode Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer in Milton
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space, especially those who work in healthcare or life sciences. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python backend services or LLMs. 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 knowledge and soft skills. Be ready to discuss your experience with AWS, CI/CD pipelines, and how you've tackled challenges in previous roles. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to spot your application and get back to you quickly.
We think you need these skills to ace Senior AI Engineer in Milton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior AI Engineer role. Highlight your Python backend experience, AWS knowledge, and any hands-on work with LLMs. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how your previous experiences can contribute to our mission of improving patient outcomes. Keep it engaging and relevant to the role.
Showcase Your Projects: If you've worked on any AI-driven projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they relate to healthcare or life sciences. It helps us understand your practical experience.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at SoCode Limited
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially LLMs. Be ready to discuss your hands-on experience and how you've applied these technologies in production environments. This is your chance to showcase your technical expertise!
✨Showcase Your Python Skills
Since strong Python backend engineering experience is essential, prepare to talk about specific projects where you've designed and built scalable services. Bring examples that highlight your coding practices and how you ensure code quality.
✨Familiarise with AWS and Infrastructure as Code
Get comfortable discussing your experience with AWS and infrastructure as code. Be prepared to explain how you've built and maintained cloud infrastructure, and any challenges you've faced along the way. This will demonstrate your ability to work in a secure, multi-tenant environment.
✨Collaborate and Communicate
This role involves working closely with product, data, and commercial teams, so be ready to share examples of how you've collaborated in the past. Highlight your communication skills and how you approach architecture and roadmap decisions with a team-oriented mindset.
