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- Tasks: Develop AI solutions and data pipelines using Python and LLMs.
- Company: Dynamic consulting firm in the UK with a focus on innovation.
- Benefits: Competitive pay, flexible remote work, and career advancement opportunities.
- Why this job: Join a team making a real impact in AI and data analysis.
- Qualifications: Strong analytical skills and practical software engineering experience.
- Other info: Exciting projects in a supportive and growth-oriented environment.
The predicted salary is between 28800 - 48000 £ per year.
A consulting firm in the United Kingdom is seeking an AI/ML Engineer to contribute to AI initiatives, focusing on Python, LLMs, and data analysis. This hands-on role involves developing production-grade systems and translating business problems into data-driven solutions. Ideal candidates are analytically strong with practical software engineering skills. The position offers competitive compensation, flexible remote work options, and opportunities for career growth.
AI/ML Engineer — Production AI, Data Pipelines, Remote-friendly employer: proSapient
Contact Detail:
proSapient Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer — Production AI, Data Pipelines, Remote-friendly
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space on LinkedIn or at meetups. We can’t stress enough how personal connections can lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and LLMs. We love seeing practical applications of your work, so make sure it’s easy to access and visually appealing.
✨Tip Number 3
Prepare for interviews by brushing up on common AI/ML questions and coding challenges. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate candidates who are ready to tackle real-world problems with data-driven solutions.
We think you need these skills to ace AI/ML Engineer — Production AI, Data Pipelines, Remote-friendly
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, LLMs, and data analysis. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI initiatives and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled business problems with data-driven solutions. We’re looking for candidates who can think critically and apply their analytical skills in real-world scenarios.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the easiest way for us to review your materials and get back to you quickly. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at proSapient
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, LLMs, and data analysis. Brush up on your coding skills and be ready to discuss specific projects where you've applied these technologies. Being able to explain your thought process and the challenges you faced will impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've translated business problems into data-driven solutions in the past. Think of examples where your analytical skills made a significant impact. This will demonstrate your ability to think critically and apply your knowledge effectively.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s AI initiatives and their approach to data pipelines. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
✨Emphasise Your Teamwork and Communication Skills
Since this role involves collaboration, be ready to share experiences where you worked effectively in a team. Highlight how you communicated complex technical concepts to non-technical stakeholders, as this is crucial in consulting environments.
