At a Glance
- Tasks: Design and train Large Language Models for innovative AI solutions.
- Company: Tech-focused organisation leading the way in AI development.
- Benefits: Competitive daily rate, fully remote work, and flexible hours.
- Other info: Opportunity for career growth in a dynamic tech environment.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Experience in machine learning and a passion for AI innovation.
The predicted salary is between 100000 - 130000 £ per year.
A technology-focused organisation is seeking a Contract Machine Learning Engineer / Data Scientist to support the development of next-generation AI solutions. This is an exciting opportunity to play a key role in designing and training Large Language Models from the ground up, and to contribute to the creation of an intelligent AI-powered chatbot that transforms the way information and insights are delivered.
Contract Duration: 6 months
Rate: Up to £500 per day
IR35: Outside
Location: Fully remote, with occasional ad-hoc travel to the office
AI / Machine Learning Engineer NLP / LLM employer: Pro Contract Jobs
Join a forward-thinking technology organisation that prioritises innovation and employee development. With a fully remote work model complemented by flexible office visits, you will enjoy a dynamic work culture that fosters collaboration and creativity. Our commitment to professional growth ensures that as an AI / Machine Learning Engineer, you will have access to cutting-edge projects and opportunities to enhance your skills in the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI / Machine Learning Engineer NLP / LLM
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and Machine Learning space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to NLP and LLMs. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of machine learning concepts. Practice common interview questions and maybe even do some mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace AI / Machine Learning Engineer NLP / LLM
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI/Machine Learning Engineer role. Highlight your experience with NLP and LLMs, and don’t forget to showcase any relevant projects or technologies you've worked with.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your skills align with our mission at StudySmarter. Keep it concise but impactful!
Showcase Your Projects:If you’ve worked on any interesting AI projects, make sure to mention them in your application. We love seeing real-world applications of your skills, especially if they relate to chatbots or language models.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Pro Contract Jobs
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest AI and machine learning technologies, especially those related to NLP and LLMs. Brush up on your understanding of algorithms, frameworks, and tools that are relevant to the role, as you might be asked to discuss specific projects or technologies during the interview.
✨Showcase Your Projects
Prepare to talk about your previous work with AI solutions, particularly any experience with designing or training language models. Bring examples of your projects, including challenges faced and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Company’s Vision
Research the organisation’s goals and recent developments in AI. Knowing their products and how they leverage AI can help you tailor your answers and show that you’re genuinely interested in contributing to their mission. It also gives you a chance to ask insightful questions.
✨Practice Problem-Solving Questions
Be ready for technical questions or case studies that test your analytical skills. Practise explaining your thought process clearly and concisely, as communication is key in collaborative environments. Consider mock interviews or coding challenges to sharpen your skills.
