At a Glance
- Tasks: Design and train cutting-edge AI models, including chatbots that revolutionise information delivery.
- Company: Leading Regulatory Tech company with a focus on innovative AI solutions.
- Benefits: Competitive daily rate, fully remote work, and flexible ad-hoc office visits.
- Other info: 6-month contract with opportunities for professional growth and development.
- Why this job: Join a dynamic team and shape the future of AI technology in an exciting contract role.
- Qualifications: Experience in NLP, LLMs, and deep learning principles required.
The predicted salary is between 40000 - 60000 £ per year.
Duration: 6 months
Rate: Up to £500 per day
IR35: Outside
Location: Fully Remote (occasional ad-hoc travel to office)
The Role
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.
AI/ Machine Learning Engineer (NLP / LLM) - Contract employer: Involved Solutions
Contact Detail:
Involved Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ Machine Learning Engineer (NLP / LLM) - Contract
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and machine learning space. Attend meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving NLP and LLMs. Share your GitHub or any relevant work during interviews to demonstrate your expertise and passion for the field.
✨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 training and deployment. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our team. Let’s get you that contract!
We think you need these skills to ace AI/ Machine Learning Engineer (NLP / LLM) - Contract
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 get you into our system quickly. 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 LLMs from scratch, and be prepared to explain the deep learning principles behind them.
✨Showcase Your Chatbot Experience
If you've built or deployed chatbots before, this is your time to shine! Prepare examples of how you've tackled conversational AI challenges and the impact your solutions had. This will show your practical experience in the field.
✨Familiarise Yourself with MLOps
Since MLOps tools and pipelines are crucial for model versioning and deployment, make sure you understand how they work. Be ready to discuss any tools you've used and how they helped streamline your machine learning processes.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's AI solutions and their vision for the future. This not only shows your interest but also helps you gauge if the role is the right fit for you.