Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and optimise machine learning models for a groundbreaking healthcare AI project.
- Company: Join a forward-thinking team dedicated to transforming clinical research with AI technology.
- Benefits: Enjoy remote work flexibility and competitive pay of £400/day.
- Why this job: Be part of an innovative project that makes a real impact in healthcare.
- Qualifications: Experience with machine learning, LLMs, NLP, Python, and frameworks like PyTorch or TensorFlow.
- Other info: This is a contract role outside IR35, ideal for UK-based candidates.
The predicted salary is between 72000 - 108000 £ per year.
Location: Remote (UK-based candidates only)
Rate: £400/day
Contract Type: Outside IR35
An exciting opportunity for a Machine Learning Engineer to work on a cutting-edge healthcare AI project. You’ll focus on building and optimising models using LLMs, NLP, and biomedical data to transform clinical research.
Key Skills:
- Machine Learning
- LLMs
- NLP
- Python
- PyTorch
- TensorFlow
- Healthcare or clinical data experience (preferred)
Interested? Contact me directly at or send me a message.
Machine Learning Engineer employer: Explore Group
Contact Detail:
Explore Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in LLMs and NLP, especially in the context of healthcare. This will not only enhance your understanding but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase any relevant projects or contributions you've made in the field of machine learning, particularly those involving biomedical data. Having concrete examples can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the healthcare AI space. Attend webinars or join online forums where you can connect with others in the industry, as referrals can often lead to job opportunities.
✨Tip Number 4
Prepare to discuss how your skills in Python, PyTorch, and TensorFlow can be applied to real-world healthcare problems. Being able to articulate this clearly will demonstrate your suitability for the role.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Machine Learning, LLMs, NLP, and any relevant projects you've worked on. Emphasise your proficiency in Python, PyTorch, and TensorFlow, as these are key skills for the role.
Craft a Compelling Cover Letter: Write a cover letter that specifically addresses the job description. Mention your experience with healthcare or clinical data and how it relates to the project. Show enthusiasm for the opportunity to work on cutting-edge AI in healthcare.
Showcase Relevant Projects: If you have worked on any projects involving LLMs, NLP, or biomedical data, include them in your application. Briefly describe your role, the technologies used, and the impact of the project to demonstrate your capabilities.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial in a technical role like this.
How to prepare for a job interview at Explore Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning frameworks like PyTorch and TensorFlow. Bring examples of projects where you've successfully implemented LLMs or NLP techniques, especially in a healthcare context.
✨Understand the Healthcare Domain
Familiarise yourself with the challenges and trends in healthcare AI. Being able to discuss how your work can impact clinical research will demonstrate your commitment and understanding of the field.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice coding challenges related to machine learning algorithms and data manipulation, as these are likely to come up during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and goals. This shows your genuine interest in the role and helps you gauge if the company aligns with your career aspirations.
