AI/ML Engineer - Applied AI London, England
Job description
Posted Date: Jun 14 2023
12-month FTE to start with potential to hire full-time once completed.
At GSK, we are actively working on building a future in which Artificial Intelligence (AI) and Machine Learning (ML) enable us to develop new therapies and personalized drugs that drive better outcomes for patients, at reduced cost, and with fewer side effects. It is an ambitious goal that requires the research and development of solutions at the cutting edge of AI/ML applied to the creation of transformational medicines for the patients we serve. If you would love to be part of making a difference, then consider joining us and applying for our AI/ML Engineer II position.
The Applied AI team works to develop tools, models and processes that enable our scientists to create preventative products, to discover ways to treat illnesses and to glean insights from a vast amount of data across multiple modalities. Our team fosters a culture of learning and collegiality. We have a broad portfolio which includes work in the field of computer vision, NLP, data science, machine learning and deep learning. Our Applied AI/ML Engineers empower research scientists with high dimensional computer vision analysis and with up-to-date NLP solutions such as large language models.
The AI/ML Engineer will apply established algorithms and novel solutions that are packaged into user-facing AI products that GSK scientists use in their day-to-day work to accelerate drug discovery. This is an opportunity to make high impact in examples that include improving the decision cycle time for our biopharmaceuticals using data-driven practices and accelerating assets in clinical trials through forecasting. As AI/ML Engineer II, you will:
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 developing 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.
Competitive candidates will have in-depth knowledge of machine learning with a track record of developing deep learning models for solving challenging real-world scientific problems. They should be comfortable with writing quality, well-documented, and well-tested code in the AI/ML space and operate in an agile environment.
Please Note: This is a Hybrid opportunity, and you will work in a 3/2 onsite and remote split @ Kings Cross in London.
Why you?
Basic Qualifications:
We are looking for professionals with these required skills to achieve our goals:
MS degree in (Computational Sciences, Engineering, Data Science/ML, Applied Mathematics, Statistics, or related scientific field) some relevant work experience or 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:
If you have the following characteristics, it would be a plus:
PhD in (Computational Sciences, Engineering, Data Science/ML, Applied Mathematics, Statistics, or 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 of modern ML architectures, statistic, and deep learning.
Experience shipping scientific products powered by machine learning.
Knowledge in disease biology, molecular biology, and biochemistry.
#LI-GSK
GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030.
Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We’re committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce.
As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class*(*US only).
We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on [email protected] or 0808 234 4391. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels
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