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- Tasks: Develop and maintain AI workspace functionality for a global education project.
- Company: Established consultancy with a focus on innovative AI solutions.
- Benefits: Competitive day rate, hybrid work model, and potential for contract extension.
- Why this job: Join a collaborative team and make an impact in the education sector with cutting-edge technology.
- Qualifications: Proficient in Python, machine learning deployment, and experience with SharePoint.
- Other info: Hands-on role with opportunities for professional growth in a dynamic environment.
An established consultancy is seeking a Machine Learning Engineer (Contract) to support a global education organisation on an ongoing AI workspace project. The work will focus on extending internal tooling and integrating intelligent document management capabilities used across multiple regions. This is a hands-on individual contributor role, ideal for someone who enjoys working end-to-end from data and architecture through to deployment and knowledge transfer within a collaborative, agile delivery team.
Key Responsibilities
- Develop and maintain project-specific workspace functionality, including:
- File storage, metadata and system prompt management
- UI integration with collapsible sidebar navigation
- Build or integrate a SharePoint or cloud-based file environment, including:
- Permissioned repositories for business units to upload and access documents independently
- A pre-defined library for initial deployment (e.g., finance or operational materials)
- Basic access controls, validation and testing
Skills & Experience
- Strong proficiency in Python with experience in machine learning deployment and MLOps tooling
- Understanding of SharePoint
- Strong Azure, or similar cloud-based storage and directory structures
- Experience building document or knowledge management systems
- Ability to work autonomously, taking ownership from design through to delivery
Machine Learning Engineer in London employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with online communities. You never know who might have the inside scoop on a job opportunity.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and any relevant work you've done. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to machine learning. Practice explaining your thought process clearly and confidently – it’s all about demonstrating your expertise!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with Python, MLOps, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. Don’t forget to mention your experience with cloud-based storage and document management systems.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. We love seeing real-world examples of your work, especially those that demonstrate your ability to take ownership from design through to delivery.
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. Plus, we love seeing applications come in through our own channels!
How to prepare for a job interview at Omnis Partners
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and MLOps tooling. Be ready to discuss specific projects where you've deployed machine learning models, as well as any challenges you faced and how you overcame them.
✨Familiarise Yourself with SharePoint
Since the role involves integrating SharePoint or cloud-based file environments, it’s crucial to understand its functionalities. Prepare to talk about your experience with SharePoint and how you've used it in previous projects.
✨Showcase Your Agile Experience
This position is within a collaborative, agile delivery team, so be prepared to share examples of how you've worked in agile environments. Highlight your ability to adapt quickly and work autonomously while still being a team player.
✨Prepare Questions About the Project
Demonstrate your interest by preparing thoughtful questions about the AI workspace project. Ask about the current challenges they face and how you can contribute to overcoming them. This shows you're proactive and genuinely interested in the role.
