At a Glance
- Tasks: Lead the production of cutting-edge GenAI systems and scalable MLOps infrastructure.
- Company: Join a leading UK professional services organisation investing heavily in AI.
- Benefits: Competitive salary, flexible remote work, and a 35-hour week.
- Other info: Dynamic role with excellent potential for permanent conversion.
- Why this job: Shape the future of ML Engineering and make a real impact in the legal sector.
- Qualifications: 7+ years in MLE/MLOps with strong production ML deployment experience.
The predicted salary is between 90000 - 99000 € per year.
Do you want to productionise end-to-end enterprise GenAI systems? Have you built scalable ML platforms and MLOps infrastructure in production? Are you ready to establish ML Engineering capability inside a business heavily investing in AI? A large UK professional services organisation is building out its ML Engineering capability and hiring a Lead Machine Learning Engineer to help shape the function from the ground up. This is a hands-on role focused on production AI systems, MLOps, cloud ML infrastructure, and enterprise GenAI deployment. Current projects include large-scale document AI workflows using LLMs to process and structure complex documents.
Key responsibilities:
- Productionise LLM and GenAI systems
- Build scalable MLOps and deployment pipelines
- Develop AI infrastructure in Azure and Databricks
- Create data pipelines for enterprise AI workflows
- Work closely with DS teams and business stakeholders
Key details:
- £90k + ~10% bonus
- Essentially remote across the UK
- 35-hour week with flexible hours
- Stack: Azure ML, AI Foundry, Databricks, Python, FastAPI
- 12-month FTC with strong chance of permanent conversion
- Cannot sponsor
Requirements:
- 7+ years across MLE/MLOps/Data Engineering/SWE
- Production ML deployment experience
- LLM/NLP/GenAI exposure
- Strong stakeholder management and independent delivery skills
Interested? Please apply below.
Lead MLE, Azure - Legal Sector in Nottingham employer: Harnham
Join a leading UK professional services organisation that prioritises innovation and employee development in the rapidly evolving field of AI. With a flexible, remote working environment and a commitment to building a robust ML Engineering capability, this role offers you the chance to shape the future of enterprise AI while enjoying competitive benefits and a supportive work culture that fosters growth and collaboration.
StudySmarter Expert Advice🤫
We think this is how you could land Lead MLE, Azure - Legal Sector in Nottingham
✨Tip Number 1
Network like a pro! Reach out to folks in the legal sector or those already working with GenAI. A casual chat can lead to opportunities you won’t find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with scalable ML platforms and MLOps. This is your chance to demonstrate how you can productionise AI systems.
✨Tip Number 3
Prepare for interviews by brushing up on your Azure and Databricks knowledge. Be ready to discuss how you've built data pipelines and worked with LLMs in past projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed, especially for roles like Lead MLE where we’re looking for top talent.
We think you need these skills to ace Lead MLE, Azure - Legal Sector in Nottingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Lead MLE. Highlight your experience with scalable ML platforms and MLOps infrastructure, especially in production settings. We want to see how your skills align with our needs!
Showcase Your Projects:Include specific examples of projects you've worked on that relate to GenAI systems or document AI workflows. We love seeing real-world applications of your skills, so don’t hold back on the details!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear 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 directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Harnham
✨Know Your Tech Stack
Make sure you’re well-versed in Azure ML, Databricks, and Python. Brush up on your knowledge of MLOps and how to build scalable deployment pipelines. Being able to discuss specific projects where you've used these technologies will show you're the right fit for the role.
✨Showcase Your Experience with LLMs
Since the role involves working with large-scale document AI workflows, be prepared to talk about your experience with LLMs and GenAI systems. Share examples of how you've productionised these technologies and the impact they had on previous projects.
✨Highlight Stakeholder Management Skills
This position requires strong stakeholder management skills, so think of instances where you've successfully collaborated with business teams. Be ready to explain how you’ve communicated complex technical concepts to non-technical stakeholders.
✨Prepare Questions About the Role
Interviews are a two-way street! Prepare insightful questions about the company’s current ML projects and their vision for the ML Engineering function. This shows your genuine interest and helps you assess if the role aligns with your career goals.
