At a Glance
- Tasks: Lead impactful AI projects from design to deployment using cutting-edge technologies.
- Company: Harnham, a leader in data science and AI innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team and enhance your career in a thriving environment.
- Why this job: Make a real difference in the AI field while working with modern technologies.
- Qualifications: Strong experience in data science and model deployment in production.
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) 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 in a collaborative environment while enjoying the flexibility of a hybrid working model in vibrant London. Join us to advance your career in a company that values creativity and excellence in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer: End-to-End ML & LLM Deployment (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and data science fields. Attend meetups or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Showcase your projects! Create a portfolio that highlights your end-to-end ML and LLM deployment experiences. This will give you an edge when discussing your skills during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of both traditional machine learning and generative AI technologies. Practice coding challenges and system design questions to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to stay updated on new roles.
We think you need these skills to ace Senior AI Engineer: End-to-End ML & LLM Deployment (Hybrid)
Some tips for your application 🫡
Show Off Your Experience:When you're writing your application, make sure to highlight your experience with both traditional machine learning and generative AI. We want to see how you've tackled high-impact projects in the past, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for this role. Mention specific projects or technologies that align with what we’re looking for. This shows us you’ve done your homework and are genuinely interested in joining our team.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your skills and experiences. Avoid fluff – we want to know what makes you the perfect fit for this role!
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. Plus, it’s super easy – just follow the prompts and you’ll be all set!
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 that show your interest in the company and the role. Inquire about their current projects, team dynamics, or future goals in AI. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
