At a Glance
- Tasks: Design and build high-quality software while collaborating with experts.
- Company: Join a leading investment bank in London, driving innovation in finance.
- Benefits: Work 2-3 days a week onsite with a focus on security and compliance.
- Why this job: Be at the forefront of AI/ML technology in a dynamic, collaborative environment.
- Qualifications: Strong Python skills and experience with AI/ML, LLMs, and cloud platforms required.
- Other info: Opportunity to innovate and evolve software platforms at scale.
The predicted salary is between 48000 - 84000 £ per year.
Senior Engineer – Gen AI, Python, LLM\’s sought by leading investment bank based in London . **Inside IR35 – 2/3 days a week onsite** Responsibilities: Design and build high-quality, highly reliable software Partner closely with other development teams, quants and subject-matter experts in our businesses Ensure our software platforms are compliant with the banks security and SDLC (Software Development Life Cycle) processes Run the platform at scale while continuing to innovate and evolve Skills & Qualifications: Strong knowledge and deep experience of Python and toolchains Experienced in and strong knowledge of using AI/ML and more particularly LLMs eager to apply this rapidly changing technology Experience with CI/CD and MLOps tools/frameworks (e.g. MLflow and W&B) Experienced in building and running a large platform at scale Strong distributed systems skills and knowledge Strong system architecture skills Knowledge of other modern, functional languages e.g. Scala, Clojure, Rust, Elixir Solid understanding of REST-ful design Experience with Kubernetes Development experience of at least one public cloud provider Please apply within for further details – Matt Holmes, Harvey Nash AMRT1_UKTJ …
Gen AI Python Engineer - LangChain/NLP employer: Harvey Nash Careers
Contact Detail:
Harvey Nash Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen AI Python Engineer - LangChain/NLP
✨Tip Number 1
Make sure to showcase your experience with Python and LLMs in your conversations. Highlight specific projects where you've successfully implemented AI/ML solutions, as this will resonate well with the team.
✨Tip Number 2
Familiarize yourself with the bank's security and SDLC processes. Understanding these aspects will demonstrate your commitment to compliance and reliability, which are crucial for this role.
✨Tip Number 3
Prepare to discuss your experience with CI/CD and MLOps tools like MLflow and W&B. Being able to articulate how you've used these tools in past projects will set you apart from other candidates.
✨Tip Number 4
Since the role involves working closely with quants and subject-matter experts, brush up on your communication skills. Being able to effectively collaborate and convey technical concepts to non-technical stakeholders is key.
We think you need these skills to ace Gen AI Python Engineer - LangChain/NLP
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Gen AI Python Engineer position. Understand the key responsibilities and required skills, especially focusing on Python, AI/ML, and LLMs.
Tailor Your CV: Customize your CV to highlight your experience with Python, AI/ML technologies, and any relevant projects involving LLMs. Be specific about your contributions and the impact of your work.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the role. Mention your experience with CI/CD, MLOps tools, and distributed systems, and express your enthusiasm for working in a fast-paced investment banking environment.
Highlight Relevant Projects: In your application, include specific examples of projects where you designed and built software at scale. Discuss your familiarity with Kubernetes and cloud providers, as these are crucial for the role.
How to prepare for a job interview at Harvey Nash Careers
✨Showcase Your Python Expertise
Be prepared to discuss your experience with Python in detail. Highlight specific projects where you've utilized Python, especially in the context of AI/ML and LLMs. This will demonstrate your strong knowledge and deep experience in the language.
✨Discuss Your Experience with CI/CD and MLOps
Make sure to talk about your familiarity with CI/CD processes and MLOps tools like MLflow and W&B. Provide examples of how you've implemented these in past projects to show your practical understanding of software development life cycles.
✨Emphasize Your Distributed Systems Knowledge
Prepare to discuss your skills in distributed systems and system architecture. Be ready to explain how you've built and maintained large platforms at scale, as this is crucial for the role.
✨Demonstrate Your Problem-Solving Skills
During the interview, be ready to tackle hypothetical scenarios or technical challenges. This will allow you to showcase your analytical thinking and problem-solving abilities, which are essential for a senior engineering position.