13 jobs found

At GSK, we are using Artificial Intelligence (AI) and Machine Learning (ML) to develop new therapies and personalized drugs that drive better outcomes for patients at reduced cost with fewer side effects. Because the datasets we use and algorithms we build at each step of the drug development journey have safety and ethical implications for our patients, GSK has a dedicated team working on the responsible use of AI in healthcare. We are looking for a researcher with a track record in successfully developing and publishing state of the art AI/ML methods, preferably with a focus on foundation models and their evaluation. In addition to outstanding ML engineering and research skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic. Responsibilities Perform and publish ML research for the evaluation and development of biomedical foundation models across various healthcare modalities, including multimodal data. Develop and implement ML methods to solve applied problems at the interface of biomedical foundation models, drug discovery, and challenging biomedical datasets. Support different teams across AIML and GSK in building ethical ML pipelines and software products. Work closely with research scientists, senior leaders, AI/ML engineers, and policy experts on the implementation of GSK's responsible AI strategy. Qualifications A PhD equivalent degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering) or equivalent professional ML research engineer experience. A track record of performing high quality ML research, evidenced by publications at major ML venues. A strong foundation in machine learning and experience with state of the art modelling approaches, especially foundation models. Proven programming expertise in Python and experience working with complex and/or multi modal datasets. Solid understanding of at least one major deep learning framework (PyTorch, TensorFlow). Keenness to learn fast in a new domain and to develop your ML and software engineering skills. Proactive communication and problem solving skills, and proven ability to collaborate with colleagues of various backgrounds and levels of seniority. Preferred Qualifications Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images). Contributions to relevant open source projects. Background or interest in drug discovery, biology, medicine, or ethics. Commitment to Diversity and Inclusion GSK is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information, military service, or any basis prohibited under federal, state, or local law.

Summary Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Apple is committed to delivering exceptional features and prioritizing user privacy. The Privacy Preserving Measurement & Machine Learning team works with teams across Apple to develop state of the art privacy enhancing technologies for measurement and machine learning. We're looking for talented engineers to join us in this work. Description We are looking for an experienced on device software engineer to join our team and help us improve privacy preserving technologies to Apple's products. Responsibilities Collaborate with cross functional engineers to design and develop end to end measurement systems that meet Apple's industry leading privacy standards. Develop software that runs on billions of Apple devices, that enable training and evaluation of generative AI systems while preserving user privacy. Operate independently to solve complex problems at the intersection of privacy preserving technology, applied cryptography and machine learning. Successful candidates must possess a strong technical background and a keen interest or experience in developing software on iOS or similar resource constrained systems. Strong interpersonal skills and the ability to influence and build consensus are essential for success in this role. You will be working across a range of technologies, so adaptability to new problems and systems is a core skill. Minimum Qualifications Strong hands on experience in software development, with proficiency in one or more programming languages such as Python, Swift, C++. Industry experience of iOS development, or experience of development on other embedded systems. Strong problem solving skills, creativity in finding effective solutions, and the ability to collaborate with teams across the company. A track record of delivering large scale software systems from ideation and design through production deployment and operation. Preferred Qualifications Proven industry experience with a Bachelor's degree or equivalent experience in Computer Science or a related technical field. Passion for protecting customer privacy. Experience with privacy enchancing technologies such as differential privacy, multi party computation, trusted execution environment, private federated learning, homomorphic encryption. Familiar with or exposure to machine learning model post training, evaluating, and inference. Equal Opportunity & Accessibility At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. Apple is a registered Disability Confident employer and will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. We believe accessibility is a fundamental human right. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Markets Research Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. You will work on challenging Cloud-native data, backend engineering and AIML engineering, helping us industrialize AI/ML models at production scale. This role is a technical hands on engineering role. Experience with data science/ML modeling is advantageous but not essential to this role. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Builds engineering stack required for Data and AIML products, including data engineering, backend engineering, Cloud infra DevOps and MLOps Designs and implements data engineering solutions, leveraging modern big data technologies Contributes to software engineering communities of practice and events that explore new and emerging technologies Embraces a passion for learning, problem-solving, creative thinking and a can-do attitude. Required qualifications, capabilities, and skills Formal training or certification onsoftware engineeringconcepts and proficient applied experience Hands on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages- Python Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Proven track record in system design, architecting and developing microservices, distributed systems and data-intensive applications Experience with Cloud services, Infrastructure as Code, containerized application development, big data and modern data engineering technologies Practical experience developing Production scale Cloud-native data engineering solutions in commercial environments Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena) and MLOps stack Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds Preferred qualifications, capabilities, and skills Experience with data, AWS and AIML engineering in commercial settings, preferably in financial sector Experience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating with data scientists

J.P.MorganChase is seeking a Lead Software Engineer with expertise in AWS and Python, and a passion for Machine Learning, to help engineer and deploy innovative ML solutions into production. You will collaborate with the Applied AI/ML group and technology teams across the firm, contributing to both new and ongoing projects. In this role, you will work alongside Data Scientists to build cloud-based frameworks for hosting machine learning models, providing software engineering expertise throughout the model development lifecycle. You will leverage both internal and external cloud platforms, utilizing proprietary and open-source tools to ensure models meet SDLC standards, are production-ready, and can be deployed efficiently. The position requires close interaction with platform developers, engineering communities, and the integration of existing and new technologies. Job Responsibilities Develop and maintain high-quality, secure applications using Python and AWS Create architecture and design deliverables, lead design and architecture reviews, promote best practice Integrate AIML solutions into complex, domain-specific operations processing systems Lead code reviews, design discussions, and agile planning sessions Collaborate with SRE and production monitoring teams to ensure system reliability and performance Contribute to software engineering communities of practice and technology events Embrace continuous learning, creative problem-solving, and a can-do attitude Required Qualifications, Capabilities, and Skills Bachelor's degree or higher in Computer Science, Engineering, or a related field, or equivalent formal training/certification Proven hands-on experience in Python application development Proven hands-on experience developing, debugging and maintaining production applications Solid understanding of software development best practices, including version control, testing, and CI/CD Strong problem-solving, communication, and collaboration skills, with the ability to convey design choices and communicate effectively with stakeholders Experience working on AIML systems and/or prior experience collaborating with data scientists Track record of designing, building, and delivering maintainable, extensible applications into production environments Preferred Qualifications, Capabilities, and Skills Experience with Cloud services, Infrastructure as Code (IaC, Terraform) and containerized application development Familiarity with data storage systems (e.g., Postgres, OpenSearch) and AWS services such as S3, SageMaker, and Bedrock Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps, Large Language Model Operations (LLMOps), Event Driven Systems. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit FAQs for more information about requesting an accommodation.

At GSK, we see a world where advanced applications of Machine Learning and AI enable us to develop transformational medicines that drive better outcomes for patients at reduced cost and with fewer side effects. AI will also play a role in how we diagnose and use medicines to enable everyone to do more, feel better, and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI. About the Role To strengthen our AI for Science (AI4S) team, we are looking for AI/ML Engineers with a track record in developing and validating machine learning models for real world scientific problems. You will drive the development of AI models and agentic systems-researching, designing, implementing, and delivering solutions across a range of scientific tasks, leveraging high performance computing and the biomedical data sources available at GSK. Team Culture The AI4S team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term and are motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. We strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives. In this role you will Design and implement AI/ML driven solutions throughout the entire model development life cycle. Research and develop state of the art machine learning models and agentic systems to solve a variety of scientific tasks. Deliver robust, tested, and high performance code in an agile environment. Liaise with experts in biology, medicine and experimentation to ensure optimal data collection and processing for machine learning models. Qualifications & Skills Bachelor's, Master's or Doctorate degree in a quantitative or engineering discipline (computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience delivering state of the art AI/ML solutions. Experience with at least one major deep learning framework (PyTorch, JAX, TensorFlow). Familiarity with machine learning literature and state of the art approaches. Experience developing and delivering robust software solutions, including demonstrated advanced programming expertise in Python. Experience in software engineering and machine learning best practices, including version control, continuous integration (CI) and continuous development (CD), containerization, and shell scripting. Fluency in English. Preferred Qualifications Experience in design, development and deployment of commercial AI/ML software. Experience with Large Language Models (LLMs) and Agentic AI (e.g., tool use, multi agent orchestration, deployment and evaluation). Contributions to relevant open source projects. Relevant scientific publications in AI/ML (e.g., NeurIPS, ICML, ICLR, AAAI), computational biology or bioinformatics venues. Knowledge of or interest in disease biology, molecular biology and medicine. Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images). If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $160,050 to $266,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, paid caregiver/parental and medical leave. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

Job Overview We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Markets Research Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. You will work on challenging Cloud native data, backend engineering, and AIML engineering, helping us industrialize AI/ML models at production scale. This role is a technical hands on Engineering role. Experience with data science/ML modeling is advantageous but not essential to this role. Job Responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Builds engineering stack required for Data and AIML products, including data engineering, backend engineering, Cloud infra DevOps and MLOps Designs and implements data engineering solutions, leveraging modern big data technologies Drives adoption and governance of approved AI assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI assisted code review/refactoring, test acceleration, release readiness, incident/root cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI assisted development and automation capabilities, to improve the value realized by automation at scale. Contributes to software engineering communities of practice and events that explore new and emerging technologies Embraces a passion for learning, problem solving, creative thinking and a can do attitude. Required Qualifications, Capabilities, and Skills Formal training or certification on software engineering concepts and proficient applied experience Hands on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages - Python Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Overall knowledge of the Software Development Life Cycle Proven track record in system design, architecting and developing microservices, distributed systems and data intensive applications Experience with Cloud services, Infrastructure as Code, containerized application development, big data and modern data engineering technologies Practical experience developing production scale Cloud native data engineering solutions in commercial environments Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena) and MLOps stack Demonstrated experience leading effective use of enterprise authorized AI assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls. Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds Preferred Qualifications, Capabilities, and Skills Experience with data, AWS and AIML engineering in commercial settings, preferably in the financial sector Experience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating with data scientists Equal Employment Opportunity We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Markets Research Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. You will work on challenging Cloud native data, backend engineering and AIML engineering, helping us industrialize AI/ML models at Production scale. This role is a technical hands on Engineering role. Experience with data science/ML modeling is advantageous but not essential to this role. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Builds engineering stack required for Data and AIML products, including data engineering, backend engineering, Cloud infra DevOps and MLOps Designs and implements data engineering solutions, leveraging modern big data technologies Drives adoption and governance of approved AI assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI assisted code review/refactoring, test acceleration, release readiness, incident/root cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI assisted development and automation capabilities, to improve the value realized by automation at scale. Contributes to software engineering communities of practice and events that explore new and emerging technologies Embraces a passion for learning, problem solving, creative thinking and a can do attitude. Required qualifications, capabilities, and skills Formal training or certification onsoftware engineeringconcepts and proficient applied experience Hands on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages- Python Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Overall knowledge of the Software Development Life Cycle Proven track record in system design, architecting and developing microservices, distributed systems and data intensive applications Experience with Cloud services, Infrastructure as Code, containerized application development, big data and modern data engineering technologies Practical experience developing Production scale Cloud native data engineering solutions in commercial environments Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena) and MLOps stack Demonstrated experience leading effective use of enterprise authorized AI assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls. Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds Preferred qualifications, capabilities, and skills Experience with data, AWS and AIML engineering in commercial settings, preferably in financial sector Experience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating with data scientists

We're looking for a hands-on AI engineer ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies. As an Applied AI ML Lead - Vice President at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market leading AI products in a secure, stable, and scalable way. You will translate business problems into agentic AI and machine learning solutions, taking models from concept through to production grade services with measurable client and advisor impact. You will be responsible to the Head of AIML in IPB Tech for the end to end design, build, and production delivery of priority IPB AI/ML use cases, with particular focus on agentic AI applications, generative AI guardrails, and production ML supporting advisor and client journeys. Job responsibilities Owns end-to-end delivery of priority IPB AI/ML use cases, from problem framing and business case through to deployed, monitored production services with measurable advisor and client impact Leads the engineering build of agentic AI and LLM powered products serving IPB advisors and clients across the globe. Sets the engineering quality bar for the team's AI products through code reviews, technical design, and pairing with peers and junior engineers Establishes and operates Responsible AI controls in production (guardrails, evaluation frameworks, observability, and model risk controls) to firm wide standards Acts as a primary technical partner to IPB business stakeholders, surfacing new AI/ML opportunities and shaping them into funded workstreams Represents the AIML team in firm wide AI/ML governance and engineering forums; ensures cross-border, regulatory, and data privacy considerations are reflected in solution design Contributes to the team's GenAI education programme through training content, knowledge sharing sessions, and mentoring of junior engineers and interns Champions the firm's culture of diversity, Opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification in software engineering concepts and expert applied experience Advanced proficiency in Python and modern software engineering practices (testing, design patterns, code review, version control) Fluent with AI coding tools (e.g., Claude Code, GitHub Copilot) as a core part of day to day software development, with the judgement to know when to lean on them and when not to Hands on experience building, evaluating, and deploying machine learning models into production Practical experience with Large Language Models, including prompt engineering, RAG, fine tuning, agentic frameworks, skills. Demonstrated experience delivering system design, application development, testing, and operational stability for ML or data intensive systems Strong communication skills with confidence engaging senior business stakeholders and translating technical concepts for non technical audiences Experience applying new methods to determine solutions for complex technology problems across multiple technical disciplines MSc in Computer Science, Data Science, Engineering, or a related quantitative field Preferred qualifications, capabilities, and skills Postgraduate level qualification in data science, artificial intelligence, or machine learning Practical experience with CI/CD, containerization, and cloud native deployment patterns Experience within financial services technology, particularly wealth, private banking, or asset management Experience with Databricks, Kubernetes, or comparable ML / cloud platforms Experience designing or contributing to AI governance, model validation, or guardrail frameworks

Site Name: UK - Kings Cross - London, Switzerland - Zug, UK - Hertfordshire - Stevenage Posted Date: Jun Senior AI/ML Engineer - Biomedical AI At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop transformational medicines using the power of genetics, functional genomics and machine learning. AI will also play a role in how we diagnose and use medicines to enable everyone to do more feel better and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI. To help us make this future a reality, we are looking for accomplishedSenior Artificial Intelligence and Machine Learning Engineersthat have a track record of delivering state-of-the-art machine learning models for solving challenging real-world scientific problems. Senior AI/ML Engineers at GSK are experienced scientists and engineers with in-depth knowledge in modern machine learning, a keen interest in making a positive impact in healthcare, and strong experience in engineering software solutions at scale. To strengthen our team in Europe, we are looking for skilledSenior Artificial Intelligence and Machine Learning Engineersthat will drive the development of state-of-the-art biomedical AI algorithms. This role will be focused on researching, designing, implementing, and delivering cutting-edge prediction models across a range of challenging biomedical tasks using state-of-the-art high-performance computing facilities and the vast and detailed biomedical data sources available at GSK. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we are motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. We strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives. You will: Take ownership of, design and implement AI/ML-driven solutions along the entire model development life cycle. Research and develop state-of-the-art machine learning models, including deep learning models, to optimize model performance on a range of biomedical prediction tasks. Deliver robust, tested and performant code in an agile environment. Mentor colleagues and act as a role model for robust and scalable machine learning engineering. Lead early project definition and scoping together with domain experts across the company. Liaise with experts in biology, medicine and experimentation to ensure optimal collection of data to train biomedical machine learning models. Basic Qualifications We are looking for professionals with theserequired skillsto achieve our goals: Masters or Doctorate degree in a quantitative or engineering discipline (computer science, computational biology, bioinformatics, engineering, among others); OR equivalent additional work experience delivering state-of-the-art AI/ML solutions. 3+ years of experience in AI/ML engineering with an established track record of successful delivery of state-of-the-art AI/ML solutions. Expert-level knowledge in at least one major deep learning framework (PyTorch, TensorFlow). Familiarity with machine learning literature, foundational mathematics and statistics, and state-of-the-art modelling approaches. Previous experience in designing, developing and delivering robust commercial AIML software solutions, including demonstrated advanced programming expertise in Python. Expert knowledge of software engineering and machine learning best practices, including version control, continuous integration (CI) and continuous development (CD), containerization, High Performance Computing (HPC), and shell scripting. Background or interest in biology or medicine is a plus but not required. Fluency in English. Knowledge of German is not required for this position. Preferred Qualifications If you have the following characteristics, it would be a plus: Contributions to relevant open-source projects. Relevant first-author scientific publications in AI/ML (NeurIPS, ICML, ICLR, AAAI, among others), computational biology or bioinformatics venues. Knowledge or interest in disease biology, molecular biology and medicine. Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images) LI-GSK As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way. 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 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. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities. You can either call us on , or send an email As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.

Site Name: London The Stanley Building Posted Date: Sep At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop transformational medicines using the power of genetics, functional genomics and machine learning. AI will also play a role in how we diagnose and use medicines to enable everyone to do more feel better and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI. The opportunities for machine learning extend to many other areas of our business, including medicine safety, manufacturing and supply chain. To realize these opportunities, GSK has created a global Artificial Intelligence and Machine learning group (AI/ML), with locations in London, San Francisco, Boston, Philadelphia and Heidelberg, to focus on the development and application of machine learning to problems of critical importance at GSK. We possess a world-leading data and computational environment (including specialist hardware) to enable large-scale, scientific experiments that exploit GSK's unique access to data. By actively engaging with the machine learning community and publishing our research, code and models built on public data, the AI/ML group operates at the cutting-edge of machine learning research. To help us, we seek a p assionate AI/ML E ngineer who wish es to turn their talents to the application of active learning to the healthcare sector. You will be working in a research-focused team on building products on the topics of active learning and creating data efficient models, to support multiple large-scale projects within AI/ML. In addition, the Engineer will learn about the pharmaceutical industry and software engineering, and translate their research into tools that aid discovery and development of transformational medicines and vaccines. Why you? Basic Qualification We are looking for professionals with these required skills to achieve our goals: A minimum of an MSc in machine learning , computer science, physics or a related quantitative field . Understanding and application of best practices in Machine Learning, with breadth across the ML stack . Experience with machine learning literature and state-of-the-art modelling approaches. Previous experience in developing and delivering robust software solutions, including demonstrated advanced programming expertise in Python. Experience in software engineering and machine learning best practices, including version control, continuous integration (CI) and continuous development (CD), containerization, and shell scripting. Experience in at least one major deep learning framework (PyTorch, TensorFlow). Preferred Qualifications: If you have the following characteristics, it would be a plus: PhD in machine learning, computer science, physics or a related quantitative field Relevant scientific publications in AI/ML . Understanding and application of best practices in machine learning, software engineering, and/or production deployment of ML services. Track record of contributing toopen sourceprojects. Understanding of modern ML Architectures, Platforms, and backend systems. Mentality of commit early and often, metrics before models, and shipping high quality production code. Why GSK? Our values and expectations are at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Operating at pace and agile decision-making - using evidence and applying judgement to balance pace, rigour and risk. Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution. Continuously looking for opportunities to learn, build skills and share learning. Sustaining energy and well-being . Building strong relationships and collaboration, honest and open conversations. Budgeting and cost-consciousness . LI-GSK # GSKAIML2022 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 impact the health of 2.5 billion people around the world in the next 10 years. 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. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities.You can either call us on , or send an email As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it.Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.

Site Name: London The Stanley Building Posted Date: Jun Senior Software Engineer for AI/ML Computer Vision At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. We are aiming to develop companion software for every future GSK medicine. If that excites you, we'd love to chat. To help us make this future a reality, we are looking for Software Engineers that have a track record in developing production grade AI-powered software solutions. Software Engineers at GSK are outstanding engineers with in-depth knowledge in modern software craftsmanship practices and a keen interest in making a positive impact in healthcare. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. You will: Design and implement AI-powered software solutions across the entire software development life cycle, including product and user research, requirements engineering, software architecture design, implementation, testing, integration, and maintenance. Fully integrated with AI/ML engineers to lead, design, and implement well decoupled, modularized, reusable, and scalable deep learning training and inference pipelines. Work closely with experts in biology and clinical teams to ensure fit-for-purpose user interfaces and data pipelines. Deliver robust, fully tested and performant code that can be deployed as class III medical devices (software as medical devices) Lead and coach AI/ML engineers for best software engineering practice. Work from our main location within central London and Remote from home. We are looking for: A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional software engineer. 5+ years of experiences in commercial software development. Demonstrated advanced programming expertise in Python and/or C++ and in developing and delivering robust software solutions. Expert knowledge of modern software development tools and practices (agile frameworks). Understanding of at least one major deep learning framework (PyTorch, TensorFlow). Strong knowledge of software engineering best practices, including continuous integration (CI) and continuous deployment (CD), containerization, and shell scripting. Background or interest in biology or medicine is a plus but not required. In addition, it would be nice if you bring: Basic familiarity with machine learning principles and state-of-the-art modelling approaches. Contributions to relevant open-source projects. Knowledge or interest in disease biology, molecular biology and medicine. Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images) Why GSK? Our values and expectations are at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Agile and distributed decision-making - using evidence and applying judgement to balance pace, rigor and risk Managing individual and team performance. Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution. Implementing change initiatives and leading change. Sustaining energy and well-being, building resilience in teams. Continuously looking for opportunities to learn, build skills and share learning both internally and externally. Developing people and building a talent pipeline. Translating strategy into action - a compelling narrative, motivating others, setting objectives and delegation. Building strong relationships and collaboration, managing trusted stakeholder relationships internally and externally. Budgeting and forecasting, commercial and financial acumen. AIMLSE LI-GSK # GSKAIML2021 As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way. 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 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. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities. You can either call us on , or send an email As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.

Site Name: UK - London - Brentford Posted Date: Jun At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI. If that excites you, we'd love to chat. Strong candidates will have a track record of shipping high performing AI/ML powered products in production environments , and a passion for solving challenging problems in Artificial Intelligence and Machine Learning. Educational or professional background in the biological sciences is a plus but is not necessary; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is mandatory. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Graduate studies in Computer Science or Applied Mathematics, undergraduate studies in Computer Science and relevant graduate studies in the life sciences with a focus on AI/ML techniques, or undergraduate studies in Computer Science and equivalent work history. Candidates with graduate studies in CS and biological sciences or equivalent work history will be highly competitive. Experienced in software engineering in python and/or C++ Understanding and application of best practices in Machine Learning, with breadth across the ML stack Have shipped products powered by machine learning Preferred Qualifications: If you have the following characteristics, it would be a plus: PhD in Computer Science Understanding and application of best practices in machine learning, software engineering, and/or production deployment of ML services Track record of contributing toopen sourceprojects Understanding of modern ML Architectures, Platforms, and backend systems Mentality of commit early and often, metrics before models, and shipping high quality production code Why GSK? Our values and expectations are at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Agile and distributed decision-making - using evidence and applying judgement to balance pace, rigor and risk Managing individual and team performance. Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution. Implementing change initiatives and leading change. Sustaining energy and well-being, building resilience in teams. Continuously looking for opportunities to learn, build skills and share learning both internally and externally. Developing people and building a talent pipeline. Translating strategy into action - a compelling narrative, motivating others, setting objectives and delegation. Building strong relationships and collaboration, managing trusted stakeholder relationships internally and externally. Budgeting and forecasting, commercial and financial acumen. LI-GSK # GSKAIML2021 As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way. 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 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. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities. You can either call us on , or send an email As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.

Site Name: UK - London - Brentford, Cambridge MA, Philadelphia Navy Yard, San Francisco, Stevenage, Upper Providence Posted Date: Apr At GSK we see a world in which advanced applications of machine learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of machine learning and AI. If that excites you, we'd love to chat. The AIML Sequence Learning Team applies machine learning and AI methods to DNA and RNA sequence data from large-scale human genetic, functional genomic and single cell experiments. DNA sequence variations are linked to disease via changes in the nature and abundance of protein and RNA gene products. The Sequence Learning group builds models directly from DNA/RNA sequence in addition to other data sources such as chromatin state. Models that operate on a sequence level can infer changes in protein/RNA states and the associated cellular function from sequence alone. This is an exciting methodological advance at the intersection of NLP inspired language models applied to biological data . We're looking for a highly accomplishedAI/ ML Engineer to join our team. Competitive candidates will have a track record of shipping high performing AI/ ML powered products in production environments. They are highly accomplished Machine Learning Engineers, with breadth across Machine Learning Methods, as well as depth in at least one area. Additionally, they are accomplished software engineers with a track record of shipping stable, tested, performant code and services in an agile environment. Strong candidates will have graduate studies in Computer Science, Applied Mathematics, or the equivalent, and a passion for solving challenging problems in Artificial Intelligence and Machine Learning . Educational or professional background in the biological sciences is a plus; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is mandatory. The AI/ ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Graduate studies in Computer Science or Applied Math, undergraduate studies in Computer Science and relevant graduate studies in the life sciences with a focus on AI/ ML techniques, or undergraduate studies in Computer Science and equivalent work history. Candidates with graduate studies in CS and biological sciences or equivalent work history will be highly competitive. Experience as a software engineer with intermediate skills in python or C++ Experience with PyTorch , Tensorflow , or other deep learning frameworks Experience across the ML stack Preferred Qualifications: If you have the following characteristics, it would be a plus: PhD in computer science Knowledge in disease biology, molecular biology and biochemistry Experience with biological data (e.g., genomics, transcriptomics, epigenomics, proteomics) Understanding and application of best practices in Machine Learning Track record of contributing to open source projects Why GSK? Our values andexpectationsareat the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Operating at pace and agile decision-making - using evidence and applying judgement to balance pace, rigour and risk. Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution. Continuously looking for opportunities to learn, build skills and share learning . Sustaining energy and well-being Building strong relationships and collaboration, honest and open conversations. Budgeting and cost-consciousness LI-GSK As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way. 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 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. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities. You can either call us on , or send an email As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.