At a Glance
- Tasks: Build and maintain a shared Python platform for AI document processing.
- Company: Join a leading tech firm in Edinburgh with a hybrid work model.
- Benefits: Competitive market rate, flexible working, and a chance to work on innovative projects.
- Other info: Great opportunity for career growth and working alongside experienced AI Engineers.
- Why this job: Make an impact by developing cutting-edge AI solutions in a collaborative environment.
- Qualifications: Strong Python skills, experience with Kubernetes, and cloud infrastructure knowledge.
The predicted salary is between 50000 - 60000 £ per year.
A Harvey Nash client is seeking a strong Python Engineer to support the build and operation of a shared AI platform focused on document processing (including extraction and transcription use cases). You'll work alongside two experienced AI Engineers, owning the core engineering platform that underpins model delivery. This is a platform/software engineering role, not data science - focused on building production-grade Python services, workflow orchestration, and cloud infrastructure.
Key Responsibilities
- Build and maintain a shared Python platform library (config, logging, telemetry, Azure integrations, model abstractions)
- Develop and run Temporal-based workflows for document processing pipelines
- Implement and manage model-serving within Kubernetes workloads
- Own infrastructure-as-code (Terraform) and GitOps deployments (ArgoCD)
- Deploy and operate services on AKS (autoscaling, containers, service mesh)
- Deliver observability (Prometheus, Grafana, App Insights) and support automation
- Ensure data quality, validation, and integration with enterprise systems
- Collaborate across engineering teams and produce clear documentation
Required Experience
- Strong production Python (typed, tested, well-structured code)
- Kubernetes and containerised workloads in production
- Terraform (or equivalent IaC) and CI/CD / GitOps pipelines
- Azure platform experience (AKS, Service Bus, Postgres, Key Vault, etc.)
- Observability tooling (metrics, logs, alerting)
- Experience supporting services end-to-end in production
- Familiarity working alongside AI/ML workloads (non-data science focus)
Desirable
- Temporal.io or similar workflow tools
- LLM serving (e.g. vLLM) or GPU workloads on Kubernetes
- ArgoCD, KEDA, service mesh (Istio etc.)
- Exposure to regulated/public sector environments
Please note that you must be eligible for BPSS Clearance to commence this post.
Python Engineer in Bonnyrigg employer: Harvey Nash
Join a forward-thinking company in Edinburgh that values innovation and collaboration, offering a dynamic work culture where your contributions as a Python Engineer will directly impact the development of cutting-edge AI solutions. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to work alongside experienced professionals in a hybrid environment that promotes work-life balance. Enjoy competitive market rates and the unique advantage of being part of a team that is at the forefront of technology in a vibrant city known for its rich history and culture.
StudySmarter Expert Advice🤫
We think this is how you could land Python Engineer in Bonnyrigg
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work with Python or AI. 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 GitHub repository showcasing your Python projects, especially any related to cloud infrastructure or document processing. This gives potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your experience with Kubernetes and Terraform. We want you to shine!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and engaged in their job search.
We think you need these skills to ace Python Engineer in Bonnyrigg
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Python Engineer role. Highlight your experience with production-grade Python services, Kubernetes, and any relevant cloud infrastructure work. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific projects that demonstrate your expertise in building and maintaining Python platforms. If you've worked with Terraform or Azure, let us know! Real-world examples can really make your application stand out.
Keep It Clear and Concise:When writing your application, clarity is key. Use straightforward language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to review your application more efficiently. Don’t miss out on this opportunity!
How to prepare for a job interview at Harvey Nash
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with production-grade Python code, and don’t shy away from showcasing your knowledge of typed and tested code. Practising coding challenges can help you demonstrate your problem-solving abilities.
✨Familiarise Yourself with Kubernetes
Since this role involves working with Kubernetes and containerised workloads, it’s crucial to understand how they operate in a production environment. Be prepared to talk about your hands-on experience with Kubernetes, including any specific projects where you’ve deployed services or managed workloads.
✨Show Off Your Infrastructure Skills
This position requires knowledge of infrastructure-as-code tools like Terraform. Make sure you can explain how you've used Terraform or similar tools in past projects. Discussing your experience with CI/CD pipelines and GitOps will also show that you’re well-versed in modern deployment practices.
✨Demonstrate Collaboration and Documentation Skills
Collaboration is key in this role, so be ready to share examples of how you’ve worked with other engineering teams. Highlight your ability to produce clear documentation, as this will be important for maintaining the shared Python platform library and ensuring smooth communication across teams.
