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- Tasks: Lead the development of CI/CD pipelines for AI/ML solutions in a dynamic environment.
- Company: Join Bonhill Partners, supporting a leading Investment Bank in London.
- Benefits: Enjoy an outside IR35 contract with competitive pay up to £900/day.
- Why this job: Be part of greenfield development and shape best practices in MLOps.
- Qualifications: Experience in MLOps, strong DevOps skills, and proficiency in Python and SQL required.
- Other info: Financial services experience is preferred but not mandatory.
The predicted salary is between 72000 - 108000 £ 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.
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
This is an outside IR35 contract, paying up to £900/day.
We look forward to hearing from you!
Engineering Lead - Bonhill Partners employer: Bonhill Partners
Contact Detail:
Bonhill Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Lead - Bonhill Partners
✨Tip Number 1
Familiarise yourself with the latest trends in MLOps and CI/CD pipelines. Being able to discuss recent advancements or best practices during your interview will show that you're not just knowledgeable but also passionate about the field.
✨Tip Number 2
Network with professionals in the AI/ML space, especially those who have experience in financial services. Attend relevant meetups or webinars to make connections that could lead to valuable insights or referrals.
✨Tip Number 3
Prepare to demonstrate your technical skills in Python and SQL through practical examples. Be ready to discuss specific projects where you've implemented these skills, particularly in relation to MLOps and DevOps.
✨Tip Number 4
Research Bonhill Partners and their client’s values and culture. Tailoring your conversation to align with their mission and demonstrating how your experience can contribute to their goals will set you apart from other candidates.
We think you need these skills to ace Engineering Lead - Bonhill Partners
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in MLOps, DevOps, and AI/ML engineering. Use specific examples from your past roles that demonstrate your skills with CI/CD pipelines, Azure Databricks, and Python programming.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your relevant experience in financial services and how it aligns with the job requirements. Be sure to include your understanding of greenfield development and best practices in MLOps.
Showcase Relevant Projects: If you have worked on projects involving LLMs or GenAI, be sure to mention these in your application. Highlight any specific achievements or outcomes that resulted from your contributions to these projects.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a technical role like this.
How to prepare for a job interview at Bonhill Partners
✨Showcase Your MLOps Knowledge
Make sure to highlight your experience with MLOps, especially in areas like DataOps and Model Ops. Be prepared to discuss specific projects where you've implemented these practices and how they benefited the overall workflow.
✨Demonstrate DevOps Expertise
Since the role requires strong DevOps skills, be ready to talk about your experience with CI/CD pipelines. Share examples of how you've successfully integrated these processes into previous projects, particularly in relation to AI/ML solutions.
✨Familiarity with Azure Databricks
As this position involves working with Azure Databricks, ensure you can discuss your proficiency with the platform. Mention any relevant projects or tasks you've completed using Databricks, and how it has enhanced your data science workflows.
✨Prepare for Technical Questions
Expect technical questions related to Python programming and SQL. Brush up on your coding skills and be ready to solve problems on the spot. It might also be helpful to review common algorithms and their applications in AI/ML.
