At a Glance
- Tasks: Join a dynamic team to develop enterprise-scale AI systems and consult on AI transformation.
- Company: Tech consultancy expanding its innovative AI practice.
- Benefits: Competitive daily rate, remote work flexibility, and potential for contract extension.
- Other info: Opportunity for occasional London office visits and excellent career growth.
- Why this job: Work with cutting-edge AI technologies and make a real impact in the industry.
- Qualifications: Strong academic background in applied AI and experience with relevant technologies.
Peaple Talent have partnered with a Tech Consultancy who are growing their AI practice and sourcing an AI Engineer/ Machine Learning Engineer to work with an FS client on enterprise scale AI systems. You will ideally have a strong academic foundation which has progressed into applied AI where you will be working with a plethora of technologies/projects including; RAG, LLM, MLOps MLFlow, Vertex AI and HuggingFace NLP with LangChain Python Agentic AI.
This is a client facing role where you will act as a consultant on AI transformation for the end client. This will be mostly remote but they are ideally looking for an Engineer who would go to London offices once or twice across the contract for occasional on-site meetings. Initially 3 months, this is likely to extend due to the pipeline of work being delivered and additional projects with other clients.
Please apply for more information.
AI Engineer employer: Peaple Talent
Agentic is an exceptional employer for AI Engineers, offering a dynamic remote work environment that fosters innovation and collaboration. With a strong focus on employee growth, you will have the opportunity to engage with cutting-edge technologies and projects while benefiting from a supportive culture that values your contributions. The flexibility of remote work combined with occasional in-office meetings in London ensures a balanced approach to professional development and team engagement.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to someone looking for an AI Engineer.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLM, RAG, and MLOps. 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 consulting skills. Since this role is client-facing, practice explaining complex AI concepts in simple terms. This will help you connect better with clients and demonstrate your expertise.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about landing that AI Engineer gig!
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI technologies like LLM, RAG, and MLOps. 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 applied AI and how your background makes you a great fit for this client-facing role. We love a good story!
Showcase Your Technical Skills:Don’t forget to mention your proficiency with tools like MLFlow, Vertex AI, and HuggingFace NLP. We’re looking for someone who can hit the ground running, so let us know what you bring to the table!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Peaple Talent
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like RAG, LLM, and MLOps. Brush up on your knowledge of MLFlow, Vertex AI, and HuggingFace NLP, as these will likely come up during the interview.
✨Showcase Your Consulting Skills
Since this is a client-facing role, be prepared to discuss how you’ve successfully communicated complex AI concepts to non-technical stakeholders. Share examples of past experiences where you acted as a consultant and helped clients with AI transformation.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world applications of AI. Think about challenges you've faced in previous projects and how you overcame them, especially in enterprise-scale systems.
✨Be Ready to Discuss Remote Work Dynamics
As this role is mostly remote, be prepared to talk about how you manage your time and collaborate effectively with teams from a distance. Highlight any tools or strategies you use to stay connected and productive while working remotely.
