At a Glance
- Tasks: Develop and deploy cutting-edge AI/ML models to transform drug discovery.
- Company: Join GSK, a leader in innovative healthcare solutions.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
- Why this job: Make a real impact on patient outcomes with advanced AI technologies.
- Qualifications: MS or BS in relevant fields with experience in machine learning and Python.
The predicted salary is between 55000 - 70000 £ per year.
About the Role
At GSK, we are building a future where Artificial Intelligence (AI) and Machine Learning (ML) enable the development of new therapies and personalized drugs, driving better patient outcomes with reduced costs and fewer side effects. This ambitious goal requires cutting-edge AI/ML solutions for transformational medicines. The Applied AI team develops tools, models, and processes that empower scientists to create preventative products, discover illness treatments, and glean insights from vast amounts of multimodal data. Our team fosters a culture of learning and collegiality, with a broad portfolio including work in computer vision, NLP, data science, machine learning, and deep learning.
Applied AI/ML Engineers support research scientists with high-dimensional computer vision analysis and up-to-date NLP solutions, such as large language models. As an AI/ML Engineer II, you will apply established algorithms and novel solutions, packaging them into user-facing AI products for GSK scientists to accelerate drug discovery. This role offers the opportunity to make a high impact, for example, by improving decision cycle times for biopharmaceuticals through data-driven practices and accelerating clinical trial assets via forecasting.
Key Responsibilities
- Develop and deploy machine learning models and algorithms.
- Preprocess large-scale data to ensure data quality and model accuracy.
- Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
- Evaluate and select product-driven machine learning frameworks, libraries, and tools.
- Review code, present technical solutions, and contribute to our codebase with well-tested, production-ready code.
- Continuously monitor and evaluate the performance of deployed models and make necessary adjustments with data at scale.
- Communicate complex technical concepts to non-technical stakeholders.
- Mentor other engineers and contribute to AIML discourse at GSK and beyond.
Requirements
Basic Qualifications:
- MS degree in Computational Sciences, Engineering, Data Science/ML, Applied Mathematics, Statistics, or a related scientific field with some relevant work experience OR a BS degree with additional years of work experience.
- Experience in machine learning, software engineering, and Python.
- Experience working in a collaborative CI/CD software development environment, including use of git.
- Experience developing computer vision algorithms using PyTorch.
Preferred Qualifications:
- PhD in Computational Sciences, Engineering, Data Science/ML, Applied Mathematics, Statistics, or a related scientific field with relevant work experience.
- Track record of writing software in a collaborative team in industrial environments or open-source projects, applying practices in machine learning, software engineering, and/or production deployment of ML products.
- Applied industry experience with modern ML architectures, statistics, and deep learning.
- Experience shipping scientific products powered by machine learning.
- Knowledge in disease biology, molecular biology, and biochemistry.
AI/ML Engineer - Applied AI employer: Gsk
At GSK, we pride ourselves on being an exceptional employer, particularly for those passionate about AI and ML in the healthcare sector. Our collaborative work culture encourages continuous learning and innovation, providing ample opportunities for professional growth while contributing to groundbreaking therapies that improve patient outcomes. Located in a vibrant environment, our team enjoys access to cutting-edge resources and the chance to make a significant impact in the biopharmaceutical industry.
StudySmarter Expert Advice🤫
We think this is how you could land AI/ML Engineer - Applied AI
✨Tip Number 1
Network like a pro! Reach out to people in the AI/ML field, especially those at GSK. Attend meetups, webinars, or conferences where you can connect with industry professionals and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving computer vision or NLP. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and coding challenges. Use platforms like LeetCode or HackerRank to practice, and don’t forget to review Python and PyTorch specifics since they’re key for this role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the GSK team and contributing to their mission in AI/ML.
We think you need these skills to ace AI/ML Engineer - Applied AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI/ML Engineer role. Highlight your experience in machine learning, Python, and any relevant projects you've worked on. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and ML, and how your background makes you a great fit for our team. Don’t forget to mention specific projects or experiences that relate to the job description.
Showcase Your Projects:If you've worked on any cool AI/ML projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, we love seeing practical applications of your skills. It helps us understand your hands-on experience!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at Gsk
✨Know Your Algorithms
Brush up on the machine learning algorithms and models relevant to the role. Be prepared to discuss how you've applied these in past projects, especially in areas like computer vision and NLP. This shows you not only understand the theory but can also implement it practically.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, be ready to share examples of how you've successfully collaborated in the past. Highlight your experience in a CI/CD environment and how you’ve used tools like git to enhance teamwork and project outcomes.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of Python and machine learning frameworks like PyTorch. Practice coding problems and be ready to explain your thought process clearly. This will demonstrate your problem-solving skills and technical expertise.
✨Communicate Complex Ideas Simply
You’ll need to explain complex technical concepts to non-technical stakeholders. Prepare to articulate your past experiences in a way that’s easy to understand. This skill is crucial for ensuring everyone is on the same page and can appreciate the value of your work.
