AIML Engineer

Job description

Nombre del sítio: London The Stanley Building
Fecha de publicación: Feb 27 2024

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/AIML 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.

In this role 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.
·  Competitive candidates will have a solid a track record of developing software 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.

Why you?

Qualifications & Skills:

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. 

Closing Date for Applications: Monday 4th March 2024 (COB)

Please take a copy of the Job Description, as this will not be available post closure of the advert. 
When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.

During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process.  If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact 0808 234 4391. This will help us to understand any modifications we may need to make to support you throughout our selection process.

Como empresa impulsada por nuestros valores de enfoque al paciente, transparencia, respeto e integridad, sabemos que la inclusión y la diversidad son esenciales para que podamos tener éxito. Queremos que todos nuestros colegas prosperen en GSK, brindando sus experiencias únicas, asegurándonos de que se sientan bien y que sigan creciendo en sus carreras.  Como candidato para un papel, queremos que usted se sienta de la misma manera.

Creemos en una cultura de trabajo ágil para todos nuestros roles. Si la flexibilidad es importante para usted, lo alentamos a explorar con nuestro equipo de contratación cuáles son las oportunidades.

No dude en ponerse en contacto con nosotros si desea analizar cualquier ajuste a nuestro proceso que pueda ayudarlo a demostrar sus fortalezas y capacidades.  Puede llamarnos al 0808 234 4391 o enviar un correo electrónico Ukdiversity.recruitment@gsk.com .   

A medida que lo solicite, le pediremos que comparta alguna información personal que sea voluntaria. Esto se utilizará para ayudarnos a comprender qué tan bien estamos haciendo frente a nuestras ambiciones de inclusión y diversidad. Realmente lo agradeceríamos si pudiera tomarse unos momentos para completarlo. Tenga la seguridad de que los gerentes de contratación no tienen acceso a esta información, no se utiliza en ninguna parte del proceso de selección y trataremos su información de forma confidencial y la utilizaremos de forma anónima.