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You will need to login before you can apply for a job. Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role As a Senior Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6 8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Basic Qualifications Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 3+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 2+ years with a Master's or PhD. Expertise in Python, including ML/Data Science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in cross functional teams and communicating technical concepts to non technical stakeholders. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. Salary & Benefits 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, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. GSK is committed to creating an environment where our people can thrive and focus on what matters most. Equal Opportunity Employer 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. 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. In the absence of such written authorization, 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. GSK strives to accommodate applicants with disabilities and provide equal access. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK may be required to capture and report expenses incurred on your behalf in the event you are afforded an interview for employment. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at

A leading biopharma company in Greater London is seeking an experienced Machine Learning Specialist to work at the intersection of business needs and technical capability. This role involves providing guidance on AI/ML use cases, building models, and enhancing AI literacy within the organization. The ideal candidate will have a Bachelor's degree in a relevant field and over three years of experience in developing and deploying machine learning models. Strong expertise in Python and cloud platforms is required, along with experience in healthcare applications.

About the Role At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients-at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerised deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6-8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Why you? Basic Qualifications: Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 3+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 2+ years with a Master's or PhD. Expertise in Python, including ML/data science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerisation (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in cross functional teams and communicating technical concepts to non technical stakeholders. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications: Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. 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 programme 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, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. GSK US Benefits Summary Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . 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. 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 the Centers for Medicare and Medicaid Services (CMS) website at

Are you a digital archivist, metadata specialist, librarian, or knowledge manager looking to make a real-world impact? At Climate Policy Radar, we're building a system that organises, connects, and makes global climate policy information discoverable and usable at scale. This isn't a traditional library role - it's about applying your skills in taxonomy, metadata, and information organisation to a dynamic, data-driven environment. About us Climate Policy Radar is an independent non-profit building open, credible databases and AI-powered tools for climate, nature, and development action. Our data and tools help governments, researchers, international organisations, civil society, and the private sector to understand and advance effective climate policies and deploy climate finance. Harnessing data science and AI - including pioneering applications of natural language processing in this field - we make previously unstructured, siloed data easier to find, understand, and act on. We are a team of policy experts, engineers, data scientists, product thinkers, communicators, and operators. We care deeply about how we work - our values, culture, and ways of collaborating - as well as what we build. As part of that, we have embraced a flexible, hybrid approach to work, including a four-day workweek. About the role Climate Policy Radar aggregates document collections of laws and policies, litigation cases, submissions to UN multilateral environmental agreements, and other core document sets from expert data providers like UN agencies, research institutes, and multilateral organisations - to make them queryable and usable for a range of global users from parliamentarians to researchers to litigators. We currently work with approximately fifteen data providers and plan to triple that number over the next two years as we grow into new domains (e.g. nature, development) and types of evidence (e.g. subnational laws and policies, international bilateral agreements). We are looking for an experienced individual to own how external document collections are structured, integrated and maintained with CPR's systems as we scale. This is a core strategic role within the Programmes team, working cross-functionally across the organisation. At its heart, the role sits at the intersection of document collection curation, organisation, and aggregation. You will define and govern CPR's document ingestion processes and metadata schema requirements, working closely with Product and Engineering on implementation, and with subject matter experts and Partnerships and Operations on provider onboarding and relationship management. You will ensure that document collections are integrated into CPR's systems in a way that is structured, consistent, scalable, and usable for search and analysis. What You'll Do: Lead the aggregation of external document collections into CPR's systems, ensuring they are structured, consistent and usable. Define, apply and maintain metadata standards, schema requirements, taxonomies, and controlled vocabularies, translating organisational and product needs into clear requirements for Engineering implementation. Evaluate and onboard new sources and datasets. Work alongside the partnerships team to support highly-respected external document collection curators to add documents datasets of laws, policies, litigation cases, climate finance projects, UN submissions and reports to our database. Anticipate and manage schema evolution as external providers update or expand their data (for example, adding new fields or changing formats), ensuring CPR systems adapt smoothly. Create and carry out data quality processes, including identifying duplication, improving metadata completeness, and maintaining consistency across collections. Ensure that content gaps raised by user feedback or analysis feed back into collection priorities and schema development. Document processes and standards so workflows are repeatable and scalable. Track and communicate the impact of data ingestion efforts, including metrics on database coverage, data quality and update frequency. What You'll Bring: At least 10 years of professional experience, with at least 5 years of experience managing large or complex digital document collections. Strong experience designing and governing metadata schemas, controlled vocabularies, and taxonomy development with the ability to make informed decisions about data governance, structure, content quality standards, consistency and evolution over time. Demonstrated proficiency in structuring and maintaining aggregated datasets from multiple external sources, ensuring clarity, interoperability, and scalability. Experience evaluating external datasets for structure, completeness and long-term maintainability (you will be supported by domain experts). A track record of improving processes - designing workflows that are reproducible, well-documented, and resilient to change. Strong communication and stakeholder management skills, comfortable engaging with technical and non-technical audiences and appetite to work cross-functionally. Ideally, some line-management experience (though extensive team management experience is not required). We are a mission driven organisation, and work best with people who have strong alignment with our values. We care about them deeply. We actively encourage applicants from diverse and historically underrepresented backgrounds. Interview process Our interview process has a couple of stages, and we try to keep them as swift as possible. If you have a disability or special need that requires accommodation during the process of application and selection, please let us know. 15 minute screening with Head of People, where, how much + vibe check 30 minute task - this is a stage to test competency. We will need help to design and assess the task 30 minutes - review task with tech (maybe product) team and programme team (assess competency). One-hour interview with the Chief Programmes Officer and a member of the programme team (behavioural/ fit) We've all felt the anxiety of waiting to hear back from interviews, so we will contact you no later than 2 working days after each interview to let you know if you will be progressing. Salary and benefits: Salary between £60,000 to £75,000 depending on experience A deep commitment to employee wellbeing, including policies such as four-day workweek (same pay, Fridays off), generous leave, and a wellbeing allowance A vibrant, collaborative, empathetic work culture that thrives on innovation and the impact of our work A hybrid work model that encourages collaboration while providing flexibility. For team members in London, this means two days a week in the office Right to Work in the UK Unfortunately, we are currently unable to sponsor work visas. Only applicants legally authorised to work in the UK will be considered. Equal opportunities At Climate Policy Radar, We are committed to fostering a workplace that is inclusive and equitable. Climate Policy Radar welcomes applicants from all backgrounds and does not tolerate discrimination in any aspect of employment. We actively work to ensure equal opportunities for all, regardless of heritage, ancestry, national origin, citizenship, religion, sex, sexual orientation, gender identity, age, disability, relationship choices, or criminal history, in line with legal requirements. We also consider qualified applicants regardless of criminal histories, in line with legal requirements. If you have a disability or special need that requires accommodation in the process of application and selection, please let us know.

Job title: Warehouse Coordinator Location: Maidenhead, Berkshire Salary Range: Negotiable Duration: Temp to Perm The Malloy Aeronautics Team: Malloy Aeronautics Limited specialises in the development of heavy lift unmanned air vehicles (UAVs) for both civilian and military uses. Located in Berkshire, our operations are notable for their focus on in-house design and manufacturing. This vertical integration means we control the production of most aircraft components on-site, enhancing our ability to innovate and maintain high standards across all stages of development. About The Role: This is a fantastic opportunity for someone who thrives in a busy warehouse environment and enjoys practical, hands-on work. You will need to be physically fit as some lifting of heavy boxes and parts will be necessary. Experience in goods-in/goods-out and stock control Check deliveries before signing for received goods Understand the need to working in a safe and clean environment Dealing with multiple internal and external personnel including delivery drivers Consciousness and diligence Ability to hold Security Clearance - 5 years residence in the UK What you'll being doing (but not limited to): Preparing goods for dispatch Moving and distributing stock to correct locations (manual lifting to 25kg) Supporting day-to-day warehouse operations Strong attention to detail Accurately pick goods ready for despatch Accurately record details of goods in and out of the warehouse Check and report details of goods returned by customers Load and unload goods into/from vehicles/containers Use mechanical handling equipment Stock take and take part in physical stock counts Essential Skills and Experiences: Fluent in English spoken and written MS Office suite and any despatch software Stock distribution Correctly label and match products Previous experience working within a busy warehouse Health and safety in the workplace Willingness to learn Desired Skills and Experiences: SAP S4 Hana or an ERP system Import & export experience - globally Benefits you may be eligible for: We have obtained Bronze Level Armed Forces Covenant Company Pension Scheme Access to 24 Hour Helpline Employee Stock Purchase Plan (BAE Systems Share Incentive Plan) Cycle to work scheme Additional holiday with long service Healthcare cash plan 20 Days of Annual Leave + Bank Holidays Statutory Sick Pay Three-Day Long Weekend Every Fortnight (Fri-Sun) Freshly Cooked Lunch on working Fridays Casual Dress On-Site Parking Why Malloy Aeronautics? Our company benefits from a streamlined process where engineering teams are involved in the entire lifecycle of our UAVs - from initial design through to production. This setup not only speeds up the development process but also improves the efficiency and effectiveness of our product launches. We value professionals who have a background in both research and development (R&D) and design for manufacture, as their expertise is crucial to our rapid and precise product development cycle. Please be aware that many roles working for Malloy Aeronautics will be subject to both security and export control restrictions. These restrictions mean that factors including your nationality, any previous nationalities you have held, and your place of birth may limit those roles you can perform for the organisation. Malloy Aeronautics is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome candidates from all backgrounds and particularly from sections of the community who are currently underrepresented within our industry, including women, ethnic minorities, people with disabilities and LGBTQ+ individuals. We also want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Note : If you have not heard from our recruitment department within 14 days, unfortunately you have not been successful. Malloy Aeronautics and BAE Systems may process information about you that may be subject to data protection laws. For more information about how we use and protect your personal information and your rights, please refer to our Privacy Notice.