At a Glance
- Tasks: Design and deploy AI/ML models to revolutionise drug development.
- Company: Leading company in drug development with a focus on AI and ML.
- Benefits: Flexible working, competitive salary, and opportunities for career growth.
- Other info: Collaborative environment with ownership over AI strategy and projects.
- Why this job: Join a pioneering team and make a real impact in healthcare innovation.
- Qualifications: PhD in relevant field with 2-5 years of experience in AI/ML.
The predicted salary is between 50000 - 70000 € per year.
Nottingham – Flexible working arrangements. We are working with a company at the forefront of drug development and manufacturing. They turn drugs into usable forms, test them in humans, and manufacture the drugs. The company is now focused on investing in the Machine Learning and Artificial Intelligence space, and has several open positions in this area, so the team will be growing.
As an AI/ML Engineer, you’ll be involved across the full AI lifecycle - from getting the data in, through to building and deploying models, right through to monitoring how they perform in production. Internally, you’ll be seen as a go-to technical expert, helping to ensure best practices around responsible AI, model governance, and compliance are followed. You’ll also work cross-functionally with departments across the business from product managers to data engineers, to turn requirements into real-world AI solutions.
Key Responsibilities- Design, develop, and deploy AI and machine learning models, finetune models as required.
- Build and maintain scalable ML pipelines and infrastructure for classical ML and deep learning.
- Deploy models to production using containerisation, CI/CD, and MLOps toolsets.
- Develop LLM-based tools using prompt engineering, retrieval, and embedding pipelines for knowledge retrieval and workflow assistance.
- Embed responsible AI practices and compliance in all solutions.
- Collaborate with cross-functional teams to translate requirements into technical solutions.
- Communicate complex technical concepts in clear terms to technical and non-technical stakeholders.
- PhD in relevant field and 2-5 years’ experience in ML / AI engineering, or data science roles in industry.
- An understanding of the drug development space - but do not need to be an expert.
- A proven track record of building, deploying, and maintaining production grade models.
- Strong coding skills in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience with cloud platforms and ML infrastructure (ideally AWS but open to other cloud infrastructures, MLflow).
- Experience with LLMs, vector search, or retrieval-augmented systems.
- Excellent communication skills; able to work cross-functionally with stakeholders of both technical and non-technical backgrounds.
This is a great opportunity for someone looking to take the next step in their career. You will get ownership and the chance to help shape a company’s AI and ML strategy, whilst also putting it into practice. You’ll need to be self-motivated and enjoy the challenge of building things from scratch. Apply today to be considered.
AI/ML Engineer - Drug Development, Flexible in Nottingham employer: KEMIO Consulting
Join a pioneering company in drug development that champions innovation and flexibility, offering a collaborative work culture where your expertise as an AI/ML Engineer will be valued. With a strong focus on employee growth, you will have the opportunity to shape the future of AI in healthcare while enjoying flexible working arrangements in Nottingham. Benefit from a supportive environment that encourages responsible AI practices and cross-functional collaboration, making it an ideal place for those seeking meaningful and impactful work.
StudySmarter Expert Advice🤫
We think this is how you could land AI/ML Engineer - Drug Development, Flexible in Nottingham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. 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 AI/ML projects. Whether it's GitHub repos or a personal website, having tangible evidence of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical folks.
✨Tip Number 4
Don't forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out!
We think you need these skills to ace AI/ML Engineer - Drug Development, Flexible in Nottingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI/ML Engineer role. Highlight your experience with machine learning models, coding skills in Python, and any relevant projects you've worked on. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about drug development and AI. Share specific examples of your work that demonstrate your expertise and how you can contribute to our team at StudySmarter.
Showcase Your Technical Skills:Don’t hold back on showcasing your technical skills! Mention your experience with ML frameworks like TensorFlow or PyTorch, and any cloud platforms you've worked with. We love seeing candidates who can hit the ground running with their technical know-how.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at KEMIO Consulting
✨Know Your AI/ML Stuff
Make sure you brush up on the latest trends and technologies in AI and ML, especially those relevant to drug development. Be ready to discuss your experience with Python, TensorFlow, and any cloud platforms you've worked with. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in previous roles. Think about times when you built or deployed models, and be ready to explain your thought process. This will demonstrate your ability to think critically and creatively, which is crucial for an AI/ML Engineer.
✨Communicate Clearly
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. You might want to prepare a few scenarios where you had to bridge the gap between different teams. This will highlight your communication skills and your ability to collaborate effectively.
✨Emphasise Responsible AI Practices
Familiarise yourself with responsible AI practices and compliance issues. Be prepared to discuss how you would embed these principles into your work. This shows that you understand the ethical implications of AI and are committed to best practices, which is a big plus for any company in the drug development space.
