At a Glance
- Tasks: Design and train cutting-edge AI chatbots using Large Language Models.
- Company: Leading Regulatory Tech company with a focus on innovation.
- Benefits: Competitive pay up to £500 per day and fully remote work.
- Other info: 6-month contract with opportunities for growth and learning.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Experience in NLP, LLMs, and chatbot development required.
The predicted salary is between 40000 - 50000 £ per year.
A leading Regulatory Tech company 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 (LLMs) 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.
You will work closely with the client's in-house data and engineering teams to design, train, and fine-tune transformer-based models for complex natural language processing tasks, ensuring accuracy, efficiency, and scalability.
Experience Requirements:- Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch.
- Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5).
- Solid background in data science and machine learning, including model development, training, evaluation, and deployment.
- Experience building and deploying chatbots or conversational AI systems.
- Knowledge of MLOps tools and pipelines for model versioning and deployment.
If you are available and interested in a 6-month Outside IR35 contract, please apply in the first instance and you will be contacted to discuss the position further.
Remote NLP/LLM Engineer — Contract (AI Chatbot) in Manchester employer: Involved Solutions
Join a leading Regulatory Tech company that champions innovation and excellence in AI solutions. With a fully remote work environment, you will enjoy the flexibility to balance your professional and personal life while collaborating with talented teams on cutting-edge projects. The company fosters a culture of continuous learning and growth, providing ample opportunities for professional development and the chance to make a significant impact in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Remote NLP/LLM Engineer — Contract (AI Chatbot) in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and machine learning space. Let them know you're on the lookout for opportunities, and who knows? They might just have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to NLP and LLMs. Whether it's a chatbot you built or a model you trained, having tangible examples can really set you apart during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your deep learning principles and transformer architectures. Practice coding challenges and be ready to discuss your past experiences with model development and deployment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates like you who are eager to dive into the world of AI solutions.
We think you need these skills to ace Remote NLP/LLM Engineer — Contract (AI Chatbot) in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with NLP and LLMs. We want to see how you've trained models from scratch and any projects that showcase your skills in deep learning and transformer architectures.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're excited about this role and how your background aligns with our needs. Be specific about your experience with chatbots and conversational AI systems.
Showcase Relevant Projects:If you've worked on any relevant projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve model development and deployment in NLP.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensure it gets into the right hands. We can’t wait to hear from you!
How to prepare for a job interview at Involved Solutions
✨Know Your NLP and LLM Stuff
Make sure you brush up on your knowledge of Natural Language Processing and Large Language Models. Be ready to discuss specific projects where you've trained models from scratch, and don't shy away from diving into the technical details of transformer architectures like GPT or BERT.
✨Showcase Your Chatbot Experience
If you've built or deployed chatbots before, this is your time to shine! Prepare examples that highlight your role in the development process, the challenges you faced, and how you overcame them. This will show your practical experience and problem-solving skills.
✨Familiarise Yourself with MLOps
Since the role involves model versioning and deployment, it’s crucial to understand MLOps tools and pipelines. Be ready to discuss any tools you've used and how they helped streamline your workflow. This shows you're not just a coder but also someone who understands the full lifecycle of machine learning models.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's AI solutions and their vision for the chatbot. This not only demonstrates your interest but also gives you a chance to assess if the company aligns with your career goals.
