GSK

Company Name: GSK
Job Title: AIML Engineer - Finance
Job Description: Site Name: London The Stanley Building

Posted Date: Mar 3 2025

At GSK, we see a world where advanced applications of Machine Learning and AI empower us to drive groundbreaking solutions that further our mission of enabling everyone to do more, feel better, and live longer. This ambitious vision will rely on developing cutting-edge products and solutions in Machine Learning and AI. If this excites you, we'd love to chat.

Our team focuses on creating innovative models to enhance the financial systems and processes that support GSK's ability to develop important therapies. By leveraging state-of-the-art machine learning and AI, we improve financial strategies and optimize decision-making across the organization. We are seeking an accomplished Machine Learning Engineer to help us accelerate these efforts and bring more ambitious, patient-focused solutions to life. Strong candidates will have a proven track record of delivering high-performing AI/ML-powered products in production environments and demonstrate expertise in complex mathematical modeling. We’re looking for a passion for advancing financial solutions that align with GSK’s mission, along with a commitment to continuous learning and development.

Our AI/ML team operates on principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're committed to creating an excellent working environment. Our leaders are dedicated to your career growth and development from day one.

In this role you will

Build models, services, and libraries that fulfil the stated API contract and metrics for a project
Effectively iterate on model design, training process design, code abstractions, etc. to improve key metrics of the model, service, or library
Aggressively test code to ensure the specification is met
Proactively communicate problems, delays, and changes to project lead or senior engineers and ask for help
Engage with code review and view it as a learning tool to improve engineering practice
Commit code early and often, and seek feedback along the way when needed
Frequently demo work and/or lessons learned for their team or for the organization

Why you?

Qualifications & Skills:

We are looking for professionals with these required skills to achieve our goals:

A minimum of a master’s degree in computer science, applied maths, statistics, physics, engineering or related field
Advanced programming expertise in Python and experience developing and delivering robust software solutions, including code testing
Understanding and applying best practices in Machine Learning, with breadth across the ML pipeline
Experience shipping products powered by machine learning
Proven ability to solve complex problems using creative approaches, state-of-the-art tools, and best engineering practices
Ability to work both autonomously and collaboratively on complex projects

Preferred Qualifications & Skills:

If you have the following characteristics, it would be a plus:

Understanding of modern ML Architectures, Platforms, and backend systems, including PyTorch or TensorFlow
Mentality to commit early and often, metrics before models, and shipping high quality production code
Experience in deploying AI/ML solutions with cloud computing Platforms, such as Google Cloud Platform or Azure, and engineering AI/ML pipelines to optimise cloud resources (GPUs, CPUs)

Closing Date for Applications: Friday 14th March 2025 (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.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

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. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

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 place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

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 Ukdiversity.recruitment@gsk.com or 0808 234 4391. The helpline is available from 8.30am to 12.00 noon Monday to Friday, during bank holidays these times and days may vary.

Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a UK Recruitment FAQ guide. Click the link and scroll to the Careers Section where you will find answers to multiple questions we receive .

As you apply, we will ask...

London, United Kingdom

On site

04-03-2025

Company Name: GSK
Job Title: AI Ops and ML Engineer – NetDevOps & Observability
Job Description: Site Name: UK – London – New Oxford Street

Posted Date: Mar 11 2025

GSK is seeking a highly skilled and experienced AI Ops and ML Engineer – NetDevOps to join our dynamic IT infrastructure team. This role is pivotal in the ongoing development, deployment, and maintenance of our network infrastructure, with a specialized focus on integrating Artificial Intelligence (AI) and Machine Learning (ML) to enhance network automation, observability, and incident management.

The ideal candidate will bring a strong background in network engineering, AI/ML technologies, and automation, contributing to the modernization of GSK’s network and observability platforms.

In this role you will

AI Ops and ML Development

Design and implement AI-driven solutions for anomaly detection, predictive analytics, and automated remediation.
Build and fine-tune machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn to optimize network operations.
Integrate AI Ops frameworks with tools such as Moogsoft, Dynatrace, or Splunk ITSI to deliver actionable insights.

Network Automation and Optimization

Automate network tasks, configurations, and maintenance using tools like Ansible, Terraform, and scripting languages such as Python or PowerShell.
Develop and maintain CI/CD pipelines for deploying AI Ops and ML solutions in network environments.
Enhance monitoring capabilities using AI to reduce alert noise and prioritize critical issues.

Observability and Incident Management

Collaborate with teams managing tools like SolarWinds, Zscaler ZDX, Elastic, and Juniper Mist to improve data collection, correlation, and visualization.
Use AI/ML to proactively identify and resolve network vulnerabilities and performance issues.
Conduct root cause analysis (RCA) for network incidents and implement long-term improvements based on AI insights.

Mentorship and Continuous Improvement

Mentor junior engineers, providing guidance on adopting AI/ML technologies, automation, and NetDevOps best practices.
Stay updated on industry trends in AI Ops, network automation, and observability, applying innovations to improve operational efficiency.
Proactively identify opportunities for optimization and implement solutions to enhance network performance, reliability, and security.

Why you?

Qualifications & Skills:

We are looking for professionals with these required skills to achieve our goals:

Minimum of 8 years of experience in network engineering, with at least 2 years focusing on AI Ops or ML applications.
Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and AI Ops platforms (e.g., Moogsoft, Dynatrace, Splunk ITSI).
Expertise in network automation tools and frameworks like Ansible, Terraform, Puppet, or Chef.
Strong understanding of network engineering principles, including routing, switching, firewalls, and load balancers.
Advanced scripting skills in Python, PowerShell, or Bash.
Relevant certifications such as AWS Certified Machine Learning, CCNP, or equivalent.

Preferred Qualifications & Skills:

If you have the following characteristics, it would be a plus:

Bachelor’s degree in Computer Science, Data Science, Network Engineering, or a related field. Master’s degree preferred.
Experience in the pharmaceutical industry, with knowledge of its technological trends.
Proven ability to deliver large-scale operational programs.
Familiarity with agile delivery methodologies and the DevOps operational model.
Passionate about enhancing the customer experience through AI/ML innovations.

Network and Observability Tools

SolarWinds
Zscaler ZDX
Elastic
Myst
Monitoring Tools
Root Cause Analysis (RCA)
Self-Healing Networks

Certifications

AWS Certified Machine Learning
CCNP (Cisco Certified Network Professional)
CCIE (Cisco Certified Internetwork Expert)
DevOps Certifications
GCP Professional Machine Learning Engineer
Microsoft Certified: Azure AI Engineer Associate

Closing Date for Applications: Tuesday 25th March 2025 (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.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

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. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

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 place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

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...

London, United Kingdom

On site

11-03-2025

Company Name: GSK
Job Title: Programmer/Analyst
Job Description: Site Name: UK – London – New Oxford Street, Bengaluru Luxor North Tower, Home Worker - GBR, Hyderabad Wework Krishe Emerald, UK - Hertfordshire - Stevenage

Posted Date: Mar 12 2025

We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme.

We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work.

Discover more about our company wide benefits and life at GSK on our webpage Life at GSK | GSK

GSK Clinical Programming brings together some of the most talented minds to engage in advanced data analytics, principles of data science, and developing new computational tools to support innovative research and develop novel therapies. We serve five key therapeutic areas: HIV, Immunology, Infections Disease, Oncology, Respiratory, and Vaccines, and offer unlimited growth opportunities and exciting career paths for a wide range of experience levels.

Your Role

This specialized Programmer/Analyst role combines technical proficiency with leadership and project management skills to provide timely, high-quality and compliant deliverables to support Oncology Disease Data Strategy (DDS) Objectives under supervision. Programmer/Analysts are expected to be subject matter experts and be able to mentor and train junior team members and new hires. They possess good communication and time management skills, are problem solvers, be able to engage in study lead responsibilities, and are willing to mentor junior programmers and new hires. This role also requires proactive cross-functional engagement with stakeholders, end-to-end disease area expertise, and a strong commitment to quality and innovation in statistical programming.

Programmer/Analysts will be expected to participate in capabilities and non-project initiatives, present at internal forums, and learn new programming languages. They will also interact with non-programming team members and participate in core study team meetings under supervision.

In this role you will

Perform the transformation and harmonization of existing or acquired data (e.g., external and GSK Historical Trial Data (HTD), Real World Data (RWD), Biomarker) to drive the investigations required to meet the priority disease area objectives
Develop and maintain a deep understanding of the Oncology disease area, data sources and advocate for quality deliverables and compliance with standards
Author or advise on parts of the disease strategy analytics plan and relevant associated documents
Proactively seek implementation of new tools in for exploratory analysis of acquired and internal data
Develop strong relationships with statisticians and team members.
Keep an awareness of departmental strategies and initiatives
Provide input to strategic planning, where requested and under supervision, which may be shared with stakeholders
Anticipate problems related to assigned work or areas of expertise and able to implement solutions, proactively seeking input from colleagues as needed
Provide innovative solutions to solve more complex problems relating to own work
Understand GxP, ICH requirements, internal processes and external regulations that govern drug development (where applicable)
Demonstrate effectiveness in oral and written communications, ability to express ideas, and incorporate feedback to produce quality deliverables

Why you?

Qualifications & Skills:

We are looking for professionals with these required skills to achieve our goals:

A BSc or BA (or equivalent) in Mathematics, Statistics, Computer Science or related subject
Intermediate to advanced programming skills in one or more programming languages, such as R, Python, and/or SAS
Familiarity with CDISC standards and its application
Basic knowledge of Microsoft Office software (MS Word, Excel, PowerPoint, Outlook)

Preferred Qualifications & Skills:

Please note the following skills are not necessary, just preferred, if you do not have them, please still apply:

Experience with reuse of various forms of data such as Historical Trial data, Real World Data, Biomarker from various sources
Experience with the concept of data reuse and External Control Arms
Experience with writing and applying Metadata Specifications/Derivations.
Intermediate to advanced understanding of the end-to-end clinical trial process
Strong understanding of the purpose and application of key clinical documents
Effective written, verbal communication skills
Basic experience with representing programming function in cross-functional meetings, initiatives, and working groups.
Some experience with training and mentoring junior programmers
Therapeutic area expertise – Oncology preferred

Closing Date for Applications – Monday 17th of March (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.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

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. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

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 place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

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/exp...

Stevenage, United Kingdom

On site

12-03-2025

Company Name: GSK
Job Title: Business Data Analyst
Job Description: Site Name: GSK HQ, Stevenage

Posted Date: Mar 13 2025

Come join us as we supercharge GSK’s data capability!

At GSK we are building a best-in-class data and prediction powered team that is ambitious for patients. As R&D enters a new era of data driven science, we are building a data engineering capability to ensure we have high quality data captured with context and aligned data models, so that the data is useable and reusable for a variety of use cases.

GSK R&D and Digital and Tech’s collective goal is to deliver business impact, including the acceleration of the discovery and development of medicines and vaccines to patients. GSK Development and Development Digital & Tech are in the final stages of delivering on a multiyear investment aimed at modernizing the clinical development landscape. In order to ensure we maximize the value of the data we generate using these new systems in combination with the data assets we acquire externally, new teams in both the R&D Development and Development Digital & Tech organizations are being established to focus on the governance and design.

Role Overview:

The Business Data Analyst contributes significantly to the mission to supercharge our data and is responsible for ensuring data domains and products are defined and delivered with findability, accessibility, interoperability supportability, usability and quality in mind. As a Business Data Analyst, you will provide guidance around information architecture, data standards, and quality of the data products on the Development Data Fabric (DDF) in alignment with the data mesh architectural framework.

Key responsibilities:

Strategy: Work with data product owners, peers and colleagues in Development Tech to define a framework for consistently and efficiently capturing data models, data dictionaries, business and technical metadata and requirements for moving processing protecting and using data within DDF. Actively seek out opportunities to refine this framework and automate the creation/maintenance of information and artefacts. Keep abreast of emerging trends in data management technologies and integrated them into the target designs where appropriate
Analysis: Understand the systems and processes in Pharmaceutical R&D where data is generated, used and reused to enable operations, inform decisions and drive scientific innovations. Reverse engineer analytical use cases into data flows, target data models and data processing requirements. Partner with data product owners in the business and tech teams to document data quality checks and access management requirements. Partner with data quality and governance product owners to surface opportunities to leverage reference data, master data and/or ontology management platforms to drive standardization and interoperability.
Modelling: Build data models and associated artefacts to inform requirement and development activities. Work with data product owners and subject matter experts to capture and maintain the metadata required to ensure data released to the Development Data Fabric is Findable, Accessible Interoperable and Reusable (FAIR).
Lifecycle Management: Support the product and engineering teams during design and build by liaising with the business and technical team to answer key questions and deliver pertinent information. Partner with data stewards and technical support teams during use to investigate data quality and lineage issues. Enable the drive towards and adaptive and automated approaches to data governance and data management.

Basic Qualifications:

We are looking for professionals with these required skills to achieve our goals:

Bachelor’s degree in computer science, engineering, or similar discipline
5+ years Pharmaceutical R&D experience and / or exposure to enterprise architecture in an IT organization
Experience documenting user requirements for data and analytics products
Proficient with data modelling and data quality/profiling tools
Understanding of the data mesh framework and its application in Pharmaceutical R&D analytics including but not limited to Data integration, governance, quality, security, lineage, cataloguing, discovery, access, sharing, collaboration, etc.
Experience with Pharmaceutical R&D industry data standards
Track record in delivering business impact through data and analytics enabled solutions
Excellent relationship management, strong influencing and communication skills
Experience with Agile and DevOps Framework

Preferred Qualifications:

If you have the following characteristics, it would be a plus:

Life Sciences or Tech/Engineering related Master’s or Doctorate
Experience of building Data Mesh (or similar architecture) in Pharmaceutical R&D
Understanding of where emerging data technologies can drive increased automation in the creation and management of data products
Familiar with design and architecture of BI and analytic environments
Enablement of AI/ML users and applications

Closing Date for Applications – Thursday 27th March 2025 (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.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

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. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

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 place where people feel inspired, encouraged and challenged to be the best they can...

London, United Kingdom

On site

13-03-2025

About the Company

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