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- Tasks: Develop and operationalise machine learning models using Databricks and MLFlow.
- Company: Join a dynamic tech company focused on innovative solutions in machine learning.
- Benefits: Enjoy a competitive daily rate and hybrid working options.
- Why this job: Be part of exciting projects that make a real impact in the tech industry.
- Qualifications: Must have active SC Security Clearance and strong ML engineering experience.
- Other info: This is a 2-month contract role with potential for extension.
The predicted salary is between 44000 - 66000 £ per year.
Machine Learning Engineer (SC Cleared)
London (Hybrid)
2 Month Contract
£550/day (Inside IR35)
Machine Learning Engineer needed with active SC Security Clearance, plus strong Databricks, MLFlow and MLOps experience.
The ideal candidate will have a strong background in Machine Learning (ML) Engineering and in-depth expertise in operationalising models in Databricks, MLFlow and MLOps environments.
A chanc…
Machine Learning Engineer (SC Cleared) employer: Syntax Consultancy Limited
Contact Detail:
Syntax Consultancy Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (SC Cleared)
✨Tip Number 1
Make sure to highlight your active SC Security Clearance in any conversations or networking opportunities. This is a crucial requirement for the role, and showcasing it early can set you apart from other candidates.
✨Tip Number 2
Familiarise yourself with Databricks, MLFlow, and MLOps by working on personal projects or contributing to open-source initiatives. Being able to discuss your hands-on experience with these tools will demonstrate your practical knowledge during interviews.
✨Tip Number 3
Network with professionals in the Machine Learning field, especially those who have experience in SC cleared roles. Attend relevant meetups or online forums where you can gain insights and potentially get referrals for the position.
✨Tip Number 4
Prepare to discuss specific examples of how you've operationalised machine learning models in previous roles. Be ready to explain your thought process and the impact of your work, as this will be key in demonstrating your expertise.
We think you need these skills to ace Machine Learning Engineer (SC Cleared)
Some tips for your application 🫡
Understand the Role: Familiarise yourself with the specific requirements of the Machine Learning Engineer position. Highlight your experience with Databricks, MLFlow, and MLOps in your application.
Tailor Your CV: Customise your CV to reflect your relevant skills and experiences related to machine learning engineering. Emphasise your SC Security Clearance and any projects that demonstrate your expertise in operationalising models.
Craft a Compelling Cover Letter: Write a cover letter that connects your background in machine learning with the needs of the company. Mention your familiarity with the tools and technologies listed in the job description and express your enthusiasm for the role.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise to make a strong impression.
How to prepare for a job interview at Syntax Consultancy Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Databricks, MLFlow, and MLOps in detail. Bring examples of projects where you've operationalised machine learning models, as this will demonstrate your hands-on expertise.
✨Highlight Your Security Clearance
Since the role requires active SC Security Clearance, make sure to mention your clearance status early in the conversation. This will reassure the interviewer that you meet one of their key requirements.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in previous roles and how you overcame them, particularly in relation to machine learning operations.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's current projects and future goals in machine learning. This shows your genuine interest in the role and helps you gauge if the company aligns with your career aspirations.
