At a Glance
- Tasks: Join a dynamic team to automate high-volume casework using AI and machine learning.
- Company: Harvey Nash's innovative public sector client in Edinburgh.
- Benefits: Competitive day rate, hybrid work model, and opportunity for professional growth.
- Other info: Exciting role with potential for career advancement in a collaborative environment.
- Why this job: Make a real impact by developing cutting-edge automation solutions.
- Qualifications: Experience with Python, AI/ML technologies, and strong problem-solving skills.
6 Month Contract | (Outside IR35) | Hybrid, Edinburgh | Starting ASAP
About the Role: Harvey Nash's Pub Sec client is restructuring its software delivery model to create long-standing development teams aligned to core business domains, ensuring clear ownership of digital products. The Land Registration Automation team is responsible for analysing the problem space and developing solutions that enable high-volume, low-complexity casework to be automated.
Key challenges include:
- Applying OCR and large language models to deed documents to assess automation risk.
- Using large language models to interpret unstructured Title Sheet content and support automation of more complex cases.
- Automating wet signature verification using document analysis, object detection techniques and open language models.
The team is focused on expanding the scope, accuracy and reliability of the automation capability. They work closely with operational and customer-facing teams to ensure solutions integrate effectively with existing digital platforms and align with wider delivery roadmaps.
Essential Skills & Experience:
- Commercial experience with AI/ML technology:
- OCR, Object Detection and LLM analysis implementation
- Machine Learning & AI Libraries including:
- Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference
- PyTorch for deep learning model development and training
- OpenCV for computer vision tasks and image preprocessing in object detection
- PIL/Pillow for image manipulation and format conversion
- YOLO object detection frameworks
- Core Python Skills:
- Proficiency in Python 3.9+ with understanding of object-oriented programming, decorators, context managers, and async/await patterns
- Data structures and algorithms for efficient data processing and model optimization
- Error handling and debugging using try-catch blocks, logging, and debugging tools
- Data Processing:
- Pandas and NumPy for data manipulation, cleaning, and numerical operations
- SQLAlchemy or psycopg2 for database connectivity and ORM operations
- Boto3 for AWS service integration and automation
- AWS (working within Technical Lead's architecture):
- Lambda function development with proper event handling and response formatting
- S3 operations including multipart uploads, presigned URLs, and event notifications
- CloudWatch logging and metrics for monitoring and debugging
- Understanding of IAM and security for role-based access and credential management
- Experience with CDK for infrastructure deployment
- SQS for message queuing
- EKS/ECS/Kubernetes for containerized AI deployments
- API Development:
- FastAPI for building REST APIs and model serving endpoints
- Requests library for HTTP client operations and external API integration
- Authentication/authorization implementation (JWT, OAuth)
- Software Development:
- Making excellent quality AI/ML software collaboratively with other engineers
- Working effectively under technical leadership while contributing specialized AI/ML expertise
- Design and implementation of AI/ML solutions using service-based and serverless architecture
- Using written, verbal, and visual communication to explain AI/ML concepts to both technical and non-technical audience
- Development Practices:
- Cloud monitoring, telemetry, intelligence tools for AI/ML systems, including Grafana
- Experience working in Agile delivery models - Scrum and/or Kanban frameworks
- Formal XP engineering techniques including TDD and pair programming
- Working within defined infrastructure-as-code frameworks
Desirable Qualifications:
- Advanced AI/ML Technologies:
- Custom model architecture design and implementation
- Advanced fine-tuning techniques including LoRA, QLoRA, and parameter-efficient methods
- Multi-modal AI systems combining text, image, and structured data
- Reinforcement Learning from Human Feedback (RLHF) for model alignment
- Production ML Systems:
- Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management
- Model versioning and experiment tracking (MLflow, Weights & Biases)
- Real-time model serving and edge deployment strategies
- A/B testing frameworks for ML model evaluation
This role has been deemed Outside IR35 by the client. Applicants must hold, or be happy to apply for, a valid Basic Disclosure Scotland.
Python Engineer - Automation employer: Harvey Nash
Join a dynamic global banking organisation that prioritises innovation and employee development. With a collaborative work culture, comprehensive benefits, and ample opportunities for professional growth, this role as a SWIFT / Payments Project Manager offers a chance to make a significant impact in the financial sector while enjoying a supportive environment in a thriving location.
StudySmarter Expert Advice🤫
We think this is how you could land Python Engineer - Automation
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Harvey Nash or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Harvey Nash.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Harvey Nash.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Harvey Nash that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Python Engineer - Automation
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Harvey Nash.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Harvey Nash and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Harvey Nash
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Harvey Nash uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
