AI/ Machine Learning Engineer (NLP / LLM) - Contract in Manchester

AI/ Machine Learning Engineer (NLP / LLM) - Contract in Manchester

Manchester Full-Time No working from home possible
Involved Solutions

At a Glance

  • Tasks: Design and train cutting-edge AI models and develop an intelligent chatbot.
  • Company: Leading Regulatory Tech company with a focus on innovation.
  • Benefits: Competitive daily rate, fully remote work, and flexible hours.
  • Other info: Exciting 6-month contract with opportunities for growth.
  • Why this job: Join a dynamic team and shape the future of AI technology.
  • Qualifications: Experience in NLP, LLMs, and deep learning principles required.

AI/ Machine Learning Engineer (NLP / LLM) - Contract
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'll 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.

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AI/ Machine Learning Engineer (NLP / LLM) - Contract in Manchester employer: Involved Solutions

Join a leading Regulatory Tech company that champions innovation and collaboration in the AI space. With a fully remote work model, you will enjoy flexibility while contributing to groundbreaking projects like intelligent AI-powered chatbots. The company fosters a culture of continuous learning and growth, providing ample opportunities for professional development and engagement with cutting-edge technologies.

Involved Solutions

Contact Details:

Involved Solutions Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI/ Machine Learning Engineer (NLP / LLM) - Contract 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 a lead or two that could land you that contract.

Tip Number 2

Show off your skills! Create a portfolio showcasing your work with NLP and LLMs. Include projects where you've trained models from scratch or built chatbots. This will give potential employers a taste of what you can do!

Tip Number 3

Prepare for those interviews! Brush up on your deep learning principles and be ready to discuss transformer-based architectures. Practice explaining complex concepts in simple terms – it shows you really know your stuff.

Tip Number 4

Don't forget to apply through our website! We make it easy for you to find roles that match your skills. Plus, applying directly can sometimes give you an edge over other candidates. So, get clicking!

We think you need these skills to ace AI/ Machine Learning Engineer (NLP / LLM) - Contract in Manchester

Natural Language Processing (NLP)
Large Language Models (LLMs)
Deep Learning Principles
Transformer-based Architectures (e.g., GPT, BERT, T5)
Data Science
Machine Learning
Model Development

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 include them in your application. We love seeing real-world applications of your skills, especially in model development and deployment.

Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. 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 highlight any experience with transformer architectures like GPT or BERT.

Showcase Your Data Science Skills

Prepare to talk about your background in data science and machine learning. Have examples ready that demonstrate your experience in model development, training, evaluation, and deployment. This will show them you can hit the ground running.

Chatbot Experience is Key

If you've built or deployed chatbots or conversational AI systems, make sure to bring this up! Discuss the challenges you faced and how you overcame them, as this will be crucial for the role.

Familiarise Yourself with MLOps

Since MLOps tools and pipelines are part of the job, it’s a good idea to familiarise yourself with these concepts. Be prepared to discuss how you’ve used versioning and deployment tools in past projects to ensure smooth operations.