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- Tasks: Join a dynamic team to architect and build AI workflows using cutting-edge technology.
- Company: Be part of a thriving B2B SaaS AI Start-Up with exciting growth prospects.
- Benefits: Enjoy a competitive salary, equity options, and flexible work arrangements in Central London.
- Why this job: Make a real impact by delivering data-driven insights and working with the latest LLM APIs.
- Qualifications: 2+ years of experience in Python, LLMOps, and data pipeline development required.
- Other info: Work in the office just one day a week while enjoying a vibrant start-up culture.
The predicted salary is between 44000 - 62000 £ per year.
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Direct message the job poster from Oliver Bernard
Support Consultant at Oliver Bernard | Specialising in building High-Performance Python, Data & AI teams across the UK and Europe
B2B SaaS AI Start-Up
1-day a week in Central London offices
I\’ve got a brand new role with a client of mine who are a B2B SaaS AI Start-Up, who are looking to grow their Engineering team once again, having secured several new large scale clients and they currently have runway for multiple years going forward.
This role will be a real mixture of LLMOps (50%), Software Engineering (30%) and Data Engineering (20%) where you\’ll have the opportunity to architect, build and own the companies AI workflows, working with the latest LLM API\’s as well as being the driving force behind their Analytics stack, helping deliver data-driven insights for internal and external stakeholders.
Required skills and experience
2+ years of commercial experience
Strong knowledge and understanding of Python
Prior experience of LLMOps
Some experience building Data Pipelines
Start-up experience a bonus
This role requires candidates to be in my clients Central London office 1-day per week, and pays between £55k-£70k + equity, depending on skills and experience
To be considered, you must be UK based
Seniority level
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Seniority level
Associate
Employment type
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Employment type
Full-time
Job function
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Job function
Information Technology and Engineering
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Industries
Staffing and Recruiting
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AI/ML Engineer employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer
✨Tip Number 1
Familiarise yourself with the latest LLM APIs and frameworks. Being well-versed in these technologies will not only boost your confidence during interviews but also demonstrate your proactive approach to staying updated in the fast-evolving AI landscape.
✨Tip Number 2
Network with professionals in the B2B SaaS and AI sectors. Attend relevant meetups or webinars, and connect with people on LinkedIn. This can lead to valuable insights about the company culture and potentially even referrals.
✨Tip Number 3
Prepare to discuss your previous experience with data pipelines and LLMOps in detail. Be ready to share specific examples of projects you've worked on, as this will help you stand out as a candidate who can hit the ground running.
✨Tip Number 4
Show enthusiasm for working in a start-up environment. Highlight any past experiences in similar settings and express your willingness to adapt and grow alongside the company, which is crucial for success in a dynamic role like this.
We think you need these skills to ace AI/ML Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI, ML, and Python. Emphasise any projects or roles that involved LLMOps and data pipelines, as these are key for this position.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of the B2B SaaS landscape. Mention specific experiences that align with the job description, particularly your start-up experience if applicable.
Showcase Relevant Projects: Include links to any relevant projects or GitHub repositories in your application. Demonstrating your hands-on experience with AI workflows and data engineering will set you apart from other candidates.
Highlight Soft Skills: In addition to technical skills, mention soft skills such as teamwork and communication. Since this role involves working with internal and external stakeholders, showing that you can collaborate effectively is crucial.
How to prepare for a job interview at Oliver Bernard
✨Showcase Your Python Skills
As the role requires strong knowledge of Python, be prepared to discuss your experience with it in detail. Bring examples of projects where you've used Python effectively, especially in AI or data engineering contexts.
✨Demonstrate LLMOps Experience
Since LLMOps is a significant part of the role, highlight any relevant experience you have. Discuss specific tools or frameworks you've worked with and how you've applied them to solve real-world problems.
✨Prepare for Technical Questions
Expect technical questions related to software and data engineering. Brush up on concepts like data pipelines and analytics stacks, and be ready to explain your thought process when tackling complex problems.
✨Understand the Start-Up Culture
Given that start-up experience is a bonus, demonstrate your understanding of the unique challenges and dynamics of working in a start-up environment. Share any relevant experiences that showcase your adaptability and innovative thinking.
