At a Glance
- Tasks: Lead high-impact AI projects from design to deployment using cutting-edge technologies.
- Company: Harnham, a leader in data science and AI solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team and enhance your career in a thriving industry.
- Why this job: Make a real impact in the AI field while working with innovative technologies.
- Qualifications: Strong experience in commercial data science and model deployment.
The predicted salary is between 60000 - 80000 € per year.
Harnham is searching for a Senior Data Scientist in London for a 12-month fixed-term contract. This role involves owning high-impact data science and AI projects, from design to deployment. You'll work with both traditional machine learning and modern generative AI technologies. Strong experience in commercial data science and model deployment in production environments is required. The position allows for a hybrid working setup, requiring 2 days per week in the office.
Senior AI Engineer: End-to-End ML & LLM Deployment (Hybrid) in London employer: Harnham
Harnham is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about data science and AI. With a strong emphasis on employee growth, you will have the opportunity to lead impactful projects while enjoying the flexibility of a hybrid working model in the vibrant city of London. Join us to be part of a forward-thinking team that values collaboration and creativity, ensuring your contributions make a meaningful difference.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer: End-to-End ML & LLM Deployment (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and data science fields. Attend meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Showcase your projects! Create a portfolio that highlights your best work in machine learning and generative AI. Use platforms like GitHub to share your code and demonstrate your deployment skills. This will make you stand out when we’re looking for candidates.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your past projects in detail, especially how you tackled challenges during deployment. We love seeing candidates who can communicate their thought process clearly!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive roles listed there that you won’t find anywhere else. So, get clicking and let’s get you that Senior AI Engineer role!
We think you need these skills to ace Senior AI Engineer: End-to-End ML & LLM Deployment (Hybrid) in London
Some tips for your application 🫡
Showcase Your Experience:Make sure to highlight your experience with both traditional machine learning and generative AI technologies. We want to see how you've owned projects from design to deployment, so don’t hold back on the details!
Tailor Your Application:Take a moment to tailor your CV and cover letter to the role. Use keywords from the job description to show us you understand what we're looking for. It’ll make your application stand out!
Be Clear and Concise:When writing your application, keep it clear and concise. We appreciate well-structured applications that get straight to the point. Remember, less is often more!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Harnham
✨Know Your Stuff
Make sure you brush up on both traditional machine learning and generative AI technologies. Be ready to discuss your past projects in detail, especially those involving model deployment in production environments. This shows you’re not just familiar with the theory but have real-world experience.
✨Showcase Your Impact
Prepare to talk about the high-impact data science projects you've owned. Use specific examples that highlight your role from design to deployment. Quantify your achievements where possible; numbers speak volumes and can set you apart from other candidates.
✨Hybrid Work Mindset
Since this role involves a hybrid setup, be prepared to discuss how you manage your time and productivity when working remotely. Share any tools or strategies you use to stay connected with your team and ensure project success, as this will demonstrate your adaptability.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s approach to AI projects or how they measure success in their deployments. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
