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- Tasks: Design and implement innovative AI solutions while collaborating with dynamic teams.
- Company: Exciting recruitment agency in Greater London focused on cutting-edge technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a forward-thinking team and shape the future of AI and analytics.
- Qualifications: 2-4 years of AI/ML experience and strong coding skills required.
- Other info: Fast-paced environment with great potential for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
A recruitment agency in Greater London is seeking a Data Scientist to design and implement AI and analytics solutions. The ideal candidate will have 2-4 years of experience in AI/ML delivery and be skilled in tools like LangChain and Azure OpenAI.
Responsibilities include:
- End-to-end development of AI solutions
- Collaboration with teams
- Lifecycle management of models
Strong coding skills, strategic thinking, and problem-solving abilities are essential for this role.
AI/ML Scientist: End-to-End Generative AI & RAG in London employer: DGH Recruitment
Contact Detail:
DGH Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Scientist: End-to-End Generative AI & RAG in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI/ML field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those involving LangChain and Azure OpenAI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your coding skills and problem-solving techniques. We recommend practicing common AI/ML interview questions and even doing mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI/ML Scientist: End-to-End Generative AI & RAG in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML delivery, especially with tools like LangChain and Azure OpenAI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about generative AI and how your strategic thinking and problem-solving abilities make you a great fit for our team. Keep it engaging and personal!
Showcase Your Coding Skills: Since strong coding skills are essential for this role, consider including links to any relevant GitHub repositories or projects. We love seeing practical examples of your work, so let us see what you can do!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at DGH Recruitment
✨Know Your AI/ML Tools Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, like LangChain and Azure OpenAI. Brush up on your coding skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in AI/ML delivery. Think about specific challenges you faced and how your strategic thinking led to successful outcomes. This will demonstrate your ability to think critically and adapt.
✨Collaboration is Key
Since the role involves working with teams, be ready to talk about your experience collaborating with others. Share stories that highlight your teamwork skills and how you’ve contributed to group projects in the past.
✨Understand the Full Lifecycle of AI Solutions
Familiarise yourself with the end-to-end development process of AI solutions. Be prepared to discuss how you manage models throughout their lifecycle, from conception to deployment and maintenance, showcasing your comprehensive understanding of the field.
