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For Companies At a Glance
- Tasks: Lead the development of CI/CD pipelines for AI/ML solutions in a dynamic environment.
- Company: Join a prestigious investment bank in London, driving innovation in AI and machine learning.
- Benefits: Enjoy a competitive rate of £750 per day, with hybrid working options.
- Why this job: Be part of greenfield development, shaping best practices in MLOps and making a real impact.
- Qualifications: Experience in MLOps, strong DevOps skills, and proficiency in Python and SQL required.
- Other info: 6-month rolling contract with opportunities for growth in the financial services sector.
The predicted salary is between 54000 - 90000 £ per year.
Bonhill Partners are supporting a Large Investment Bank based in London to expand their AI/ML solutions department. They require a Machine Learning DevOps Engineer to lead the development of CI/CD pipelines and frameworks for supporting the Data Science solutions across several areas of the business. This is greenfield development with the individual looking to develop best practices across MLOps.
Rate: £750 per day Outside IR35
Term: 6 months rolling
Location: London City, 3 days hybrid
Requirements:
- Experience in MLOps (DataOps, Model Ops, ML Flow)
- Strong DevOps (CI/CD)
- Experience with Azure Databricks
- Strong Python programming
- Strong SQL
- Experience with LLM & GenAI
- Strong AI/ML engineering experience
- Financial service experience preferential
MLOps Engineer employer: Bonhill Partners
Contact Detail:
Bonhill Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MLOps Engineer
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Azure Databricks and CI/CD pipelines. Having hands-on experience or projects showcasing these skills can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the MLOps field, especially those working in financial services. Attend relevant meetups or webinars to gain insights and potentially get referrals that could help you land the job.
✨Tip Number 3
Stay updated on the latest trends and best practices in MLOps. Being able to discuss recent advancements or case studies during interviews can demonstrate your passion and knowledge in the field.
✨Tip Number 4
Prepare to showcase your problem-solving skills through practical examples. Be ready to discuss how you've implemented MLOps solutions in previous roles, particularly focusing on challenges faced and how you overcame them.
We think you need these skills to ace MLOps Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in MLOps, DevOps, and relevant technologies like Azure Databricks. Use specific examples to demonstrate your skills in CI/CD pipelines and frameworks.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI/ML and your understanding of the financial services sector. Mention how your background aligns with the requirements of the role and express your enthusiasm for contributing to greenfield development.
Highlight Relevant Projects: In your application, include details about any projects you've worked on that involved MLOps, particularly those that utilised LLM and GenAI. This will help illustrate your hands-on experience and technical expertise.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in a technical role like this.
How to prepare for a job interview at Bonhill Partners
✨Showcase Your MLOps Knowledge
Be prepared to discuss your experience with MLOps, including DataOps and Model Ops. Highlight specific projects where you've implemented CI/CD pipelines and frameworks, as this will demonstrate your hands-on expertise.
✨Demonstrate DevOps Skills
Since strong DevOps experience is crucial for this role, be ready to explain your familiarity with CI/CD processes. Share examples of how you've successfully integrated these practices into previous projects, particularly in relation to Azure Databricks.
✨Highlight Programming Proficiency
Make sure to emphasise your Python and SQL skills during the interview. Prepare to discuss how you've used these languages in your past work, especially in the context of AI/ML engineering and data manipulation.
✨Connect Your Experience to Financial Services
If you have experience in the financial services sector, be sure to mention it. Discuss how your background can add value to the investment bank's AI/ML solutions department, as this could set you apart from other candidates.
