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
Apr 03, 2026
Full time
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
Gizmo is an AI startup on a mission to make learning so easy that anyone can learn anything. We're building a platform that uses gamification and social mechanics to make learning fun. With over 1.7 million monthly active users and $5M in annual recurring revenue, we're already one of the fastest-growing startups in the UK. Backed by leading investors, we recently raised $22M in Series A funding to accelerate our vision of helping 1 billion people learn. The Role We're hiring an experienced/staff-level Product Engineer (AI-focused) to build and scale the core intelligence behind Gizmo. Reporting to the CEO and Co-Founder, you'll work across our TypeScript codebase to ship AI-powered features used daily by thousands of students, including study material generation, quizzes, automated marking and content ingestion. This is not an ML research role. It is a hands on product engineering position focused on designing and improving production AI systems with real user impact. If you want to build AI that sits at the heart of a product and see your work make a tangible difference at scale, this role offers genuine impact. What You Will Be Doing Building AI-Powered Product Features You will operate as a full product engineer, owning AI features end to end: Design and ship AI-driven user facing features in our TypeScript stack Take ownership of AI features from idea through to production and iteration Collaborate closely with design and product to solve real learning problems with end to end AI solutions Write clean, maintainable, production ready code Contribute to architectural decisions across backend and AI systems Improve the user experience around AI outputs, including feedback loops and refinement flows Owning and Improving Production AI Systems You will take responsibility for AI systems that are already live and used daily. These include: Study material content generation Quiz question generation Automated marking and feedback Structured content ingestion pipelines You will: Optimise production AI pipelines Design and iterate on prompts, including agentic prompt engineering and multi step workflows Build structured model pipelines rather than simple single call integrations Integrate model improvements directly into our TypeScript backend Create novel AI powered systems to solve new product challenges Prototype and productionise new model driven capabilities Designing Evaluation and Quality Frameworks You will: Define what great looks like across different AI use cases Design internal evaluation frameworks Develop clear metrics for quality, correctness and usefulness Evaluate multi step and agentic workflows for robustness Run structured experiments to drive systematic improvement Build internal tooling to support iteration and experimentation Ensuring Reliability at Scale You will: Monitor model behaviour and system health Handle API rate limits and third party outages Improve resilience, retries and fallback logic Design robust model calling infrastructure Ensure AI features remain stable and performant under scale Qualifications 8+ years of software engineering experience Strong expertise in TypeScript is preferred; however, we would also consider candidates with strong JavaScript experience Degree in Machine Learning, Artificial Intelligence, or a related quantitative discipline; alternatively, demonstrable hands on experience evaluating AI models and prompts in a production environment Experience building and maintaining production systems Experience shipping user facing product features Experience designing structured or agentic prompt workflows Ability to define and implement evaluation metrics for AI driven features Clear communicator who can collaborate with technical and non technical stakeholders Strong product instincts and a focus on impact Nice to Have Previous start up or founder experience Experience building internal tooling for experimentation and evaluation Benefits Highly competitive salary You'll own a piece of what you're building - equity included Hybrid and flexible working model with 4 days in our Shoreditch, London office Private health insurance Enhanced parental leave The opportunity to become one of the earliest employees in one of the UK's fastest growing startups
Apr 03, 2026
Full time
Gizmo is an AI startup on a mission to make learning so easy that anyone can learn anything. We're building a platform that uses gamification and social mechanics to make learning fun. With over 1.7 million monthly active users and $5M in annual recurring revenue, we're already one of the fastest-growing startups in the UK. Backed by leading investors, we recently raised $22M in Series A funding to accelerate our vision of helping 1 billion people learn. The Role We're hiring an experienced/staff-level Product Engineer (AI-focused) to build and scale the core intelligence behind Gizmo. Reporting to the CEO and Co-Founder, you'll work across our TypeScript codebase to ship AI-powered features used daily by thousands of students, including study material generation, quizzes, automated marking and content ingestion. This is not an ML research role. It is a hands on product engineering position focused on designing and improving production AI systems with real user impact. If you want to build AI that sits at the heart of a product and see your work make a tangible difference at scale, this role offers genuine impact. What You Will Be Doing Building AI-Powered Product Features You will operate as a full product engineer, owning AI features end to end: Design and ship AI-driven user facing features in our TypeScript stack Take ownership of AI features from idea through to production and iteration Collaborate closely with design and product to solve real learning problems with end to end AI solutions Write clean, maintainable, production ready code Contribute to architectural decisions across backend and AI systems Improve the user experience around AI outputs, including feedback loops and refinement flows Owning and Improving Production AI Systems You will take responsibility for AI systems that are already live and used daily. These include: Study material content generation Quiz question generation Automated marking and feedback Structured content ingestion pipelines You will: Optimise production AI pipelines Design and iterate on prompts, including agentic prompt engineering and multi step workflows Build structured model pipelines rather than simple single call integrations Integrate model improvements directly into our TypeScript backend Create novel AI powered systems to solve new product challenges Prototype and productionise new model driven capabilities Designing Evaluation and Quality Frameworks You will: Define what great looks like across different AI use cases Design internal evaluation frameworks Develop clear metrics for quality, correctness and usefulness Evaluate multi step and agentic workflows for robustness Run structured experiments to drive systematic improvement Build internal tooling to support iteration and experimentation Ensuring Reliability at Scale You will: Monitor model behaviour and system health Handle API rate limits and third party outages Improve resilience, retries and fallback logic Design robust model calling infrastructure Ensure AI features remain stable and performant under scale Qualifications 8+ years of software engineering experience Strong expertise in TypeScript is preferred; however, we would also consider candidates with strong JavaScript experience Degree in Machine Learning, Artificial Intelligence, or a related quantitative discipline; alternatively, demonstrable hands on experience evaluating AI models and prompts in a production environment Experience building and maintaining production systems Experience shipping user facing product features Experience designing structured or agentic prompt workflows Ability to define and implement evaluation metrics for AI driven features Clear communicator who can collaborate with technical and non technical stakeholders Strong product instincts and a focus on impact Nice to Have Previous start up or founder experience Experience building internal tooling for experimentation and evaluation Benefits Highly competitive salary You'll own a piece of what you're building - equity included Hybrid and flexible working model with 4 days in our Shoreditch, London office Private health insurance Enhanced parental leave The opportunity to become one of the earliest employees in one of the UK's fastest growing startups
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
Apr 03, 2026
Full time
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
Join our Innovation Team, where we explore cutting-edge concepts at the intersection of Machine Learning and Security.Our mission is to develop forward-looking solutions-such as model protection, privacy-preserving ML, security for agentic AI, and anomaly detection-that will later be integrated into our Edge products.This requires high-level innovation skills combined with a hands-on mindset. We are looking for: If you are passionate about building secure AI systems, exploring new ideas, and turning concepts into prototypes, this role is for you:Develop security tools and frameworks for Bring Your Own Model (BYOM) workflows and perform threat modeling for ML pipelines. Ensure proactive detection of vulnerabilities and compliance with emerging ML security standards. Responsibilities: Build security scanning tools for ML artifacts and deployment workflows. Design secure APIs for model integration on embedded platforms. Perform threat modeling for ML systems (poisoning, evasion, prompt injection). Implement monitoring solutions for model integrity and anomaly detection. Ensure compliance with NIST AI Risk Management Framework and similar standards. Collaborate with internal teams to integrate security checks into development pipelines. Required Skills: Have a background in Computer Science, Cybersecurity, or Cryptography and a strong interest in applied ML, OR Have a background in Machine Learning and an interest in cybersecurity.Strong Python development for automation and tooling. 5 years or more experience with threat modeling methodologies adapted for ML systems. Knowledge of adversarial ML attacks and defenses. Familiarity with secure API design and integration. Understanding of compliance frameworks (NIST AI RMF, ISO/IEC AI security standards).Please note: The successful candidate may/will be responsible for security related tasks. The assignment may/will be in scope of security certifications, therefore a conscious and reliable way of working is necessary.NXP provides market competitive compensation according to the benchmarking of the electronic and semiconductor industry. Due to the Austrian Equal Treatment Act we are obligated to state the employment group of our applicable collective bargaining agreement (CBA) "Kollektivvertrag für Angestellte Gewerbe und Handwerk und in der Dienstleistung", this position (fulltime) is graded in Employment Group V. Your individual experiences and expectations will be considered in the application process. Moreover, we provide attractive benefits to our employees like home office, flexible working time, meal benefits and more. Bright Minds. Bright Futures.We believe that a key component to growing our business is to develop our people. To enable you to grow your career at NXP, we offer online and offline learning opportunities to help you develop some of your core and professional skills.
Apr 03, 2026
Full time
Join our Innovation Team, where we explore cutting-edge concepts at the intersection of Machine Learning and Security.Our mission is to develop forward-looking solutions-such as model protection, privacy-preserving ML, security for agentic AI, and anomaly detection-that will later be integrated into our Edge products.This requires high-level innovation skills combined with a hands-on mindset. We are looking for: If you are passionate about building secure AI systems, exploring new ideas, and turning concepts into prototypes, this role is for you:Develop security tools and frameworks for Bring Your Own Model (BYOM) workflows and perform threat modeling for ML pipelines. Ensure proactive detection of vulnerabilities and compliance with emerging ML security standards. Responsibilities: Build security scanning tools for ML artifacts and deployment workflows. Design secure APIs for model integration on embedded platforms. Perform threat modeling for ML systems (poisoning, evasion, prompt injection). Implement monitoring solutions for model integrity and anomaly detection. Ensure compliance with NIST AI Risk Management Framework and similar standards. Collaborate with internal teams to integrate security checks into development pipelines. Required Skills: Have a background in Computer Science, Cybersecurity, or Cryptography and a strong interest in applied ML, OR Have a background in Machine Learning and an interest in cybersecurity.Strong Python development for automation and tooling. 5 years or more experience with threat modeling methodologies adapted for ML systems. Knowledge of adversarial ML attacks and defenses. Familiarity with secure API design and integration. Understanding of compliance frameworks (NIST AI RMF, ISO/IEC AI security standards).Please note: The successful candidate may/will be responsible for security related tasks. The assignment may/will be in scope of security certifications, therefore a conscious and reliable way of working is necessary.NXP provides market competitive compensation according to the benchmarking of the electronic and semiconductor industry. Due to the Austrian Equal Treatment Act we are obligated to state the employment group of our applicable collective bargaining agreement (CBA) "Kollektivvertrag für Angestellte Gewerbe und Handwerk und in der Dienstleistung", this position (fulltime) is graded in Employment Group V. Your individual experiences and expectations will be considered in the application process. Moreover, we provide attractive benefits to our employees like home office, flexible working time, meal benefits and more. Bright Minds. Bright Futures.We believe that a key component to growing our business is to develop our people. To enable you to grow your career at NXP, we offer online and offline learning opportunities to help you develop some of your core and professional skills.
AI Product Manager - Senior Consultant / Managing Consultant- Digital Excellence At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. YOUR ROLE If you are passionate about creating impactful AI solutions that solve real world problems and deliver exceptional user experiences, this is the role for you. You should apply if you have a strong background in building AI products and AI delivery, experience shaping innovative products, and a collaborative mindset that fosters learning and trust. As an AI Product Manager, you will define and execute the vision and strategy for AI products and services, driving measurable value for organisations and end users. You will combine technical understanding with product management excellence, ensuring solutions are user centric, validated through experimentation, and aligned with client needs. WHAT YOU'LL DO We understand that AI technology and applying this in an impactful way is a rapidly changing area. We are interested in people who have developed ideas on how to do this in a wide range of contexts, including formally and informally, alongside professional experience. Explore the Art of the Possible Identify opportunities for emerging AI technologies to transform organisations, create value, and solve real problems. Lead innovation and discovery workshops using design thinking to uncover pain points and generate user focused solutions. Build strong client relationships, acting as a trusted advisor to understand business objectives and align AI opportunities with strategic goals. Accelerate Impact Test ideas through rapid experimentation and proof of concept (POC) pilots, validating assumptions and iterating based on real user feedback. Translate concepts into clear product definitions and roadmaps, ensuring solutions address root causes and deliver tangible outcomes. Deliver value whilst managing the risks of maintaining responsible and ethical AI products. Champion User Centered Design (UCD) principles throughout the product lifecycle, from ideation to deployment. Enable Change Integrate AI products into existing processes, re imagining operations and enabling new capabilities. Support clients in change management and adoption, ensuring sustainable impact. YOUR PROFILE As a Senior Consultant/Manager in the AI & Product Transformation team, you'll set direction, model best practices, and coach junior team members. Key expectations include: Understanding of AI technologies and architectures, including: Large Language Models (LLMs) and generative AI capabilities. System integration of AI solutions into enterprise landscapes. Expertise in AI compliance, and ethical AI practices. Ability to define data requirements for AI products and ensure quality, security, and privacy. Risk, Security, Privacy & Ethics Awareness of AI specific risks (bias, explainability, adversarial attacks). Ability to embed responsible AI principles and regulatory compliance into product design. Operationalisation and Live Service Management Experience transitioning AI pilots into production environments. Knowledge of monitoring, maintaining, and scaling AI services post launch. Understanding of techniques to deliver AI benefit in live services i.e. via agentic orchestration platforms, AI products within enterprise software platforms Proven ability to define and communicate a clear AI product vision and roadmap. Hands on experience with Design Thinking and User Centered Design (UCD). Ability to lead POC pilots, validate solutions, and iterate based on user feedback. Viewpoint on how to deliver user centric AI that delivers genuine value and ROI Consulting & Relationship Management Strong client facing skills: account management, stakeholder engagement, and trusted advisory. Agile Delivery & Leadership Experience with agile methodologies and tools for managing AI product lifecycles. Ability to mentor and develop others, fostering capability growth within the team. A growth mindset and passion for learning, experimenting, and driving innovation in AI. WHAT YOU'LL LOVE ABOUT WORKING HERE? We are delighted to have received the "Glassdoor Best Places to work UK' accolade for 4 consecutive years. To see what it's like to work at Capgemini Invent, visit our Glassdoor page . Capgemini Invent offers Consultants a culture of learning, ownership, and focus on value. You'll gain exposure to high profile transformations and gain hands on exposure to leading technologies. Our consultants are formally trained by industry experts in consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: Cybersecurity (CISSP, CISM), cloud technologies (AWS, Azure, GCP), and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge in technical domains aligned both to your interests and our client's outcomes. Les Fontaines: Capgemini Invent has a unique training environment just outside of Paris, where we can immerse ourselves in thought leadership, share knowledge and build capabilities that will help us and our clients to succeed. We hold monthly showcases of our digital transformation initiatives, sharing knowledge and showing off how the power of technology is impacting our clients. There are monthly team drinks, and it's a chance to connect face to face with the wider team over a few drinks in the city. The monthly team breakfasts give you a different, more relaxed setting to meet up in the office to hear from the leadership, meet colleagues and discuss the trends and insights within the market. Team away days are always a chance to connect with the team, have fun and learn something new. NEED TO KNOW At Capgemini we don't just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work. We aim to build an environment where employees can enjoy a positive work life balance. We embed hybrid working in all that we do and make flexible working arrangements the day to day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy. CSR We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing. Whilst you will have London, Manchester, Newcastle or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance. ABOUT CAPGEMINI Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55 year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end to end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. Share this page with yourself or people you know Similar job opportunities If this job isn't the right fit for you, explore other opportunities! When you join Capgemini, you don't just start a new job. You become part of something bigger. Learn about how the recruitment process works - how to apply, where to follow your application, and next steps. To help you bring out the best of yourself during the interview process, we've got some great interview tips to share before the big day.
Apr 03, 2026
Full time
AI Product Manager - Senior Consultant / Managing Consultant- Digital Excellence At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. YOUR ROLE If you are passionate about creating impactful AI solutions that solve real world problems and deliver exceptional user experiences, this is the role for you. You should apply if you have a strong background in building AI products and AI delivery, experience shaping innovative products, and a collaborative mindset that fosters learning and trust. As an AI Product Manager, you will define and execute the vision and strategy for AI products and services, driving measurable value for organisations and end users. You will combine technical understanding with product management excellence, ensuring solutions are user centric, validated through experimentation, and aligned with client needs. WHAT YOU'LL DO We understand that AI technology and applying this in an impactful way is a rapidly changing area. We are interested in people who have developed ideas on how to do this in a wide range of contexts, including formally and informally, alongside professional experience. Explore the Art of the Possible Identify opportunities for emerging AI technologies to transform organisations, create value, and solve real problems. Lead innovation and discovery workshops using design thinking to uncover pain points and generate user focused solutions. Build strong client relationships, acting as a trusted advisor to understand business objectives and align AI opportunities with strategic goals. Accelerate Impact Test ideas through rapid experimentation and proof of concept (POC) pilots, validating assumptions and iterating based on real user feedback. Translate concepts into clear product definitions and roadmaps, ensuring solutions address root causes and deliver tangible outcomes. Deliver value whilst managing the risks of maintaining responsible and ethical AI products. Champion User Centered Design (UCD) principles throughout the product lifecycle, from ideation to deployment. Enable Change Integrate AI products into existing processes, re imagining operations and enabling new capabilities. Support clients in change management and adoption, ensuring sustainable impact. YOUR PROFILE As a Senior Consultant/Manager in the AI & Product Transformation team, you'll set direction, model best practices, and coach junior team members. Key expectations include: Understanding of AI technologies and architectures, including: Large Language Models (LLMs) and generative AI capabilities. System integration of AI solutions into enterprise landscapes. Expertise in AI compliance, and ethical AI practices. Ability to define data requirements for AI products and ensure quality, security, and privacy. Risk, Security, Privacy & Ethics Awareness of AI specific risks (bias, explainability, adversarial attacks). Ability to embed responsible AI principles and regulatory compliance into product design. Operationalisation and Live Service Management Experience transitioning AI pilots into production environments. Knowledge of monitoring, maintaining, and scaling AI services post launch. Understanding of techniques to deliver AI benefit in live services i.e. via agentic orchestration platforms, AI products within enterprise software platforms Proven ability to define and communicate a clear AI product vision and roadmap. Hands on experience with Design Thinking and User Centered Design (UCD). Ability to lead POC pilots, validate solutions, and iterate based on user feedback. Viewpoint on how to deliver user centric AI that delivers genuine value and ROI Consulting & Relationship Management Strong client facing skills: account management, stakeholder engagement, and trusted advisory. Agile Delivery & Leadership Experience with agile methodologies and tools for managing AI product lifecycles. Ability to mentor and develop others, fostering capability growth within the team. A growth mindset and passion for learning, experimenting, and driving innovation in AI. WHAT YOU'LL LOVE ABOUT WORKING HERE? We are delighted to have received the "Glassdoor Best Places to work UK' accolade for 4 consecutive years. To see what it's like to work at Capgemini Invent, visit our Glassdoor page . Capgemini Invent offers Consultants a culture of learning, ownership, and focus on value. You'll gain exposure to high profile transformations and gain hands on exposure to leading technologies. Our consultants are formally trained by industry experts in consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: Cybersecurity (CISSP, CISM), cloud technologies (AWS, Azure, GCP), and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge in technical domains aligned both to your interests and our client's outcomes. Les Fontaines: Capgemini Invent has a unique training environment just outside of Paris, where we can immerse ourselves in thought leadership, share knowledge and build capabilities that will help us and our clients to succeed. We hold monthly showcases of our digital transformation initiatives, sharing knowledge and showing off how the power of technology is impacting our clients. There are monthly team drinks, and it's a chance to connect face to face with the wider team over a few drinks in the city. The monthly team breakfasts give you a different, more relaxed setting to meet up in the office to hear from the leadership, meet colleagues and discuss the trends and insights within the market. Team away days are always a chance to connect with the team, have fun and learn something new. NEED TO KNOW At Capgemini we don't just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work. We aim to build an environment where employees can enjoy a positive work life balance. We embed hybrid working in all that we do and make flexible working arrangements the day to day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy. CSR We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing. Whilst you will have London, Manchester, Newcastle or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance. ABOUT CAPGEMINI Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55 year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end to end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. Share this page with yourself or people you know Similar job opportunities If this job isn't the right fit for you, explore other opportunities! When you join Capgemini, you don't just start a new job. You become part of something bigger. Learn about how the recruitment process works - how to apply, where to follow your application, and next steps. To help you bring out the best of yourself during the interview process, we've got some great interview tips to share before the big day.
Job Title Junior Software Developer Company Description - Pre seed EF Fall 2025 AI startup Job Description As the first engineering hire at Kyber, you will build the real time AI decision making platform that orchestrates airport ground operations. You will develop fault tolerant agentic systems to replace manual spreadsheets and radio calls, owning technical direction while generating critical data to predict and prevent global aviation delays alongside ex F1 and Lufthansa founders. Location London, UK Why this role is remarkable Join as the first engineering hire with massive ownership, working directly with founders from F1, FIA, and Lufthansa to disrupt commercial aviation High impact work building the industry's first real time AI decision engine for chaotic airport environments, moving beyond pre seed with EF Fall 2025 backing Opportunity to build a category defining product from scratch, gaining unparalleled experience in production grade agentic AI and event driven architecture What you will do Design and implement real time, fault tolerant agentic systems that airport teams trust to manage live flight operations and ground logistics Build and scale a full stack platform using Python and TypeScript to process chaotic operational data into high accuracy delay predictions Iterate rapidly on product features through direct customer feedback, owning the technical lifecycle from initial pilot programs to production deployment The ideal candidate High agency developer with 2-3 years of experience at a rigorous company and a proven track record of shipping complex side projects Strong technical foundation in Python, TypeScript, and full stack real time software, with hands on experience deploying production agentic AI Fast moving builder with UK work authorization who thrives in high pressure environments and is eager to take on more responsibility than a traditional role allows Next steps Visit our website and click 'Talk to Jack' to discuss your fit for this role.
Apr 02, 2026
Full time
Job Title Junior Software Developer Company Description - Pre seed EF Fall 2025 AI startup Job Description As the first engineering hire at Kyber, you will build the real time AI decision making platform that orchestrates airport ground operations. You will develop fault tolerant agentic systems to replace manual spreadsheets and radio calls, owning technical direction while generating critical data to predict and prevent global aviation delays alongside ex F1 and Lufthansa founders. Location London, UK Why this role is remarkable Join as the first engineering hire with massive ownership, working directly with founders from F1, FIA, and Lufthansa to disrupt commercial aviation High impact work building the industry's first real time AI decision engine for chaotic airport environments, moving beyond pre seed with EF Fall 2025 backing Opportunity to build a category defining product from scratch, gaining unparalleled experience in production grade agentic AI and event driven architecture What you will do Design and implement real time, fault tolerant agentic systems that airport teams trust to manage live flight operations and ground logistics Build and scale a full stack platform using Python and TypeScript to process chaotic operational data into high accuracy delay predictions Iterate rapidly on product features through direct customer feedback, owning the technical lifecycle from initial pilot programs to production deployment The ideal candidate High agency developer with 2-3 years of experience at a rigorous company and a proven track record of shipping complex side projects Strong technical foundation in Python, TypeScript, and full stack real time software, with hands on experience deploying production agentic AI Fast moving builder with UK work authorization who thrives in high pressure environments and is eager to take on more responsibility than a traditional role allows Next steps Visit our website and click 'Talk to Jack' to discuss your fit for this role.
A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Software Engineers at Palantir drive large-scale transformation through data, AI and world-leading infrastructure that supports mission-critical workloads. As a Software Engineer Intern, you'll have an opportunity to grow more quickly than you ever envisaged as you contribute high-quality code directly to: Rubix and Apollo, platforms deployed at the most important institutions across the public and private sectors. Shaping Mission Manager, our new internal-infrastructure business line, used by advanced civil and defence agencies worldwide to power their infrastructure in highly sensitive environments Building the core capabilities used by advanced civil and defence agencies worldwide to power their infrastructure Providing the substrate on which Palantir deploys its other platforms, Foundry and Gotham, which power workflows for research scientists, aerospace engineers, intelligence analysts and economic forecasters. You'll join our Production Infrastructure organisation, made up of small teams of engineers working on: Environment Platform: a Kubernetes-based PaaS spanning hundreds of production clusters Apollo: secure, fleet-wide deployment and change-management for complex microservice suites Signals: our full suite of observability and alerting tools Core Responsibilities As a Software Engineer Intern at Palantir, you'll own every phase of the product lifecycle-from generating ideas and designing prototypes to executing features and shipping releases-while being paired with a dedicated mentor who champions your growth. You'll work hand in hand with both technical and non-technical colleagues to uncover real customer problems and deliver solutions that address them. To gain first hand insight, you might sit side saddle at a military exercise or partner directly with vendors using Palantir's Apollo & Rubix to put our software into the hands of warfighters and government workers. SWE principles include: Ownership: We see projects through from beginning to end in spite of obstacles we may encounter. Collaboration: We work internally with people from a variety of backgrounds - such as other Software Engineers, Product Managers, Designers and Product Reliability Engineers. We also partner with our business development teams (Forward Deployed Engineers, Deployment Strategists) in order to understand and solve our customers' problems. Trust: We trust each other to effectively handle time and priorities, and don't micromanage. We want people to have the space to think for themselves, while feeling supported by their team. Technologies We Use It doesn't matter what languages you know when you join us, but it does matter that you can write clean, effective code and learn new languages quickly. Our software is constantly evolving, so we need engineers who can do the same. Alongside peers that bring diverse experience - whether you're a former university TA, switched to computer science recently, or are a hackathon enthusiast - you'll build your skills to apply the best technology to solve a given problem. Right now, we use: A variety of languages, including Java and Go for backend and Typescript for frontend Open-source technologies like Kubernetes, Cilium, Envoy, Grafana, React, and Redux Industry-standard tooling, including Gradle and GitHub, and agentic tools like Windsurf & Cline What We Value Ability to communicate and collaborate with a variety of individuals, including engineers, users and non-technical team members. Willingness to learn and make decisions independently, and the ability to ask questions when needed. What We Require Engineering background in fields such as Computer Science, Mathematics, Software Engineering, and Physics. Familiarity with data structures, storage systems, cloud infrastructure, front end frameworks, and other technical tools. Experience coding in programming languages, such as Java, C++, Python, JavaScript, or similar languages. Must be planning on graduating in 2027. This should be your final internship before graduating. To apply, please submit the following: An updated resume / CV - please do so in PDF format. Thoughtful responses to our application questions. Life at Palantir We want every Palantirian to achieve their best outcomes, that's why we celebrate individuals' strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well being across all areas of Palantirians' lives is just one of the ways we're investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir's values and culture, we believe employees are "better together" and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade off for their personal productivity. Based on business need, there are a few roles that allow for "Remote" work on an exceptional basis. If you are applying for one of these roles, you must work from the city and or country in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please reach out and let us know how we can help.
Apr 02, 2026
Full time
A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Software Engineers at Palantir drive large-scale transformation through data, AI and world-leading infrastructure that supports mission-critical workloads. As a Software Engineer Intern, you'll have an opportunity to grow more quickly than you ever envisaged as you contribute high-quality code directly to: Rubix and Apollo, platforms deployed at the most important institutions across the public and private sectors. Shaping Mission Manager, our new internal-infrastructure business line, used by advanced civil and defence agencies worldwide to power their infrastructure in highly sensitive environments Building the core capabilities used by advanced civil and defence agencies worldwide to power their infrastructure Providing the substrate on which Palantir deploys its other platforms, Foundry and Gotham, which power workflows for research scientists, aerospace engineers, intelligence analysts and economic forecasters. You'll join our Production Infrastructure organisation, made up of small teams of engineers working on: Environment Platform: a Kubernetes-based PaaS spanning hundreds of production clusters Apollo: secure, fleet-wide deployment and change-management for complex microservice suites Signals: our full suite of observability and alerting tools Core Responsibilities As a Software Engineer Intern at Palantir, you'll own every phase of the product lifecycle-from generating ideas and designing prototypes to executing features and shipping releases-while being paired with a dedicated mentor who champions your growth. You'll work hand in hand with both technical and non-technical colleagues to uncover real customer problems and deliver solutions that address them. To gain first hand insight, you might sit side saddle at a military exercise or partner directly with vendors using Palantir's Apollo & Rubix to put our software into the hands of warfighters and government workers. SWE principles include: Ownership: We see projects through from beginning to end in spite of obstacles we may encounter. Collaboration: We work internally with people from a variety of backgrounds - such as other Software Engineers, Product Managers, Designers and Product Reliability Engineers. We also partner with our business development teams (Forward Deployed Engineers, Deployment Strategists) in order to understand and solve our customers' problems. Trust: We trust each other to effectively handle time and priorities, and don't micromanage. We want people to have the space to think for themselves, while feeling supported by their team. Technologies We Use It doesn't matter what languages you know when you join us, but it does matter that you can write clean, effective code and learn new languages quickly. Our software is constantly evolving, so we need engineers who can do the same. Alongside peers that bring diverse experience - whether you're a former university TA, switched to computer science recently, or are a hackathon enthusiast - you'll build your skills to apply the best technology to solve a given problem. Right now, we use: A variety of languages, including Java and Go for backend and Typescript for frontend Open-source technologies like Kubernetes, Cilium, Envoy, Grafana, React, and Redux Industry-standard tooling, including Gradle and GitHub, and agentic tools like Windsurf & Cline What We Value Ability to communicate and collaborate with a variety of individuals, including engineers, users and non-technical team members. Willingness to learn and make decisions independently, and the ability to ask questions when needed. What We Require Engineering background in fields such as Computer Science, Mathematics, Software Engineering, and Physics. Familiarity with data structures, storage systems, cloud infrastructure, front end frameworks, and other technical tools. Experience coding in programming languages, such as Java, C++, Python, JavaScript, or similar languages. Must be planning on graduating in 2027. This should be your final internship before graduating. To apply, please submit the following: An updated resume / CV - please do so in PDF format. Thoughtful responses to our application questions. Life at Palantir We want every Palantirian to achieve their best outcomes, that's why we celebrate individuals' strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well being across all areas of Palantirians' lives is just one of the ways we're investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir's values and culture, we believe employees are "better together" and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade off for their personal productivity. Based on business need, there are a few roles that allow for "Remote" work on an exceptional basis. If you are applying for one of these roles, you must work from the city and or country in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please reach out and let us know how we can help.
About SenseOn SenseOn is an AI cybersecurity platform helping organisations gain holistic visibility and control of cyber risk. We're building an AI-first go-to-market engine that blends engineering, data, and commercial execution to create pipeline and accelerate customer outcomes. The role This is a software-leaning GTM role for someone who can build, ship, and operate. You'll expand and run internal GTM systems (agent workflows, integrations, data pipelines, and internal tools) on a modern cloud stack. You'll work closely with commercial teams to turn GTM needs into reliable, secure, measurable capabilities. We value people who enjoy end-to-end ownership - defining the problem, shipping the solution, and operating it with high standards. This role is ideal for an engineer who is excited to apply technical skills to revenue outcomes, communicate clearly with non-technical stakeholders, and develop a strong understanding of cybersecurity. Working arrangement We're remote-first and welcome applications globally, including from South Africa. To collaborate effectively, this role requires meaningful working-hours overlap with UK time (typically 4+ hours on most weekdays). What you'll do Build and maintain internal GTM services and automations that support pipeline creation and customer workflows (e.g., routing, enrichment, scoring, orchestration, CRM write-backs). Extend and improve our internal agent stack (Apex) and the workflows that power it. Use Codex, Claude Code, and Gemini to accelerate delivery, while maintaining strong QA and correctness. Build and maintain production-grade integrations via APIs and event-driven patterns (e.g., webhooks). Create and maintain automated build/test/deploy pipelines (CI/CD) so changes ship safely and repeatably (e.g., GitHub Actions or equivalent). Improve reliability and observability (logs/metrics), and debug issues pragmatically when things break. Communicate clearly in writing: what you built, why it works, how to use it, and how to troubleshoot it. Build with a security-first mindset: least privilege, safe secrets handling, auditability, defensive defaults. What success looks like Useful GTM capabilities ship regularly and are adopted because they make work faster and higher quality. Changes land through a clean CI/CD pipeline with tests and safe deployment practices. Systems are secure, observable, and predictable (clear logs, measurable outcomes). Agent outputs are consistently high quality due to good prompting, deterministic code wherever possible, evaluation, guardrails, and QA and learning loops. What we're looking for (must-haves) Strong practical coding ability with clear evidence on GitHub (projects you built or meaningful contributions). Comfortable working with agentic coding workflows and modern coding assistants (Codex, Claude Code, Gemini) - and validating correctness. Experience building software that integrates with other systems: APIs, auth, webhooks, data handling. Experience with CI/CD (e.g., GitHub Actions or equivalent): automated tests, build pipelines, and deployment workflows. Familiarity with cloud-deployed services: debugging, logs/metrics, reliability basics. Clear written communication and good judgement. Security-first mindset and curiosity to learn the cybersecurity industry. Nice-to-haves Python (or another backend language) used in production. Infrastructure/deployment tooling exposure (even at a basic level). Experience building internal tools for commercial teams. Exposure to security fundamentals (IAM concepts, threat modelling, secure defaults). How to apply Please include: Link to your GitHub profile and 1-3 repos you're proud of. A brief note explaining your CI/CD setup on one of those repos (what runs on PR, what runs on merge, how deployments work). A short example of how you've used AI coding tools (what you built, and how you tested/validated it). Optional: a short technical write-up you've written (README/docs/blog) that explains a system clearly. Interview process (what to expect) Initial screen: experience, motivation, and quick technical discussion. Repo walkthrough: you'll walk us through one GitHub project, including CI/CD and trade-offs. Practical exercise: a small build task focused on correctness, security-first thinking, and clear documentation. Final conversation: alignment on ownership, communication, and growth. Benefits Competitive salary Unlimited holiday allowance Learning and development investment (certs, conferences, etc) A Mac laptop Enhanced pension Private healthcare with vitality offering rewards and discounts from Amazon Prime to Gym Membership Belong at SenseOn: At SenseOn, we define Talent as employees who are customer obsessed, pursuing excellence. They are :lion_face: courageous, good people, doing good things, powering our :rocket: rocketship. If this resonates with you, then you will always belong. Nothing else matters. We are an Equal Opportunity Employer and do not discriminate against any qualified employee or applicant. Difference is what makes us stronger.
Apr 02, 2026
Full time
About SenseOn SenseOn is an AI cybersecurity platform helping organisations gain holistic visibility and control of cyber risk. We're building an AI-first go-to-market engine that blends engineering, data, and commercial execution to create pipeline and accelerate customer outcomes. The role This is a software-leaning GTM role for someone who can build, ship, and operate. You'll expand and run internal GTM systems (agent workflows, integrations, data pipelines, and internal tools) on a modern cloud stack. You'll work closely with commercial teams to turn GTM needs into reliable, secure, measurable capabilities. We value people who enjoy end-to-end ownership - defining the problem, shipping the solution, and operating it with high standards. This role is ideal for an engineer who is excited to apply technical skills to revenue outcomes, communicate clearly with non-technical stakeholders, and develop a strong understanding of cybersecurity. Working arrangement We're remote-first and welcome applications globally, including from South Africa. To collaborate effectively, this role requires meaningful working-hours overlap with UK time (typically 4+ hours on most weekdays). What you'll do Build and maintain internal GTM services and automations that support pipeline creation and customer workflows (e.g., routing, enrichment, scoring, orchestration, CRM write-backs). Extend and improve our internal agent stack (Apex) and the workflows that power it. Use Codex, Claude Code, and Gemini to accelerate delivery, while maintaining strong QA and correctness. Build and maintain production-grade integrations via APIs and event-driven patterns (e.g., webhooks). Create and maintain automated build/test/deploy pipelines (CI/CD) so changes ship safely and repeatably (e.g., GitHub Actions or equivalent). Improve reliability and observability (logs/metrics), and debug issues pragmatically when things break. Communicate clearly in writing: what you built, why it works, how to use it, and how to troubleshoot it. Build with a security-first mindset: least privilege, safe secrets handling, auditability, defensive defaults. What success looks like Useful GTM capabilities ship regularly and are adopted because they make work faster and higher quality. Changes land through a clean CI/CD pipeline with tests and safe deployment practices. Systems are secure, observable, and predictable (clear logs, measurable outcomes). Agent outputs are consistently high quality due to good prompting, deterministic code wherever possible, evaluation, guardrails, and QA and learning loops. What we're looking for (must-haves) Strong practical coding ability with clear evidence on GitHub (projects you built or meaningful contributions). Comfortable working with agentic coding workflows and modern coding assistants (Codex, Claude Code, Gemini) - and validating correctness. Experience building software that integrates with other systems: APIs, auth, webhooks, data handling. Experience with CI/CD (e.g., GitHub Actions or equivalent): automated tests, build pipelines, and deployment workflows. Familiarity with cloud-deployed services: debugging, logs/metrics, reliability basics. Clear written communication and good judgement. Security-first mindset and curiosity to learn the cybersecurity industry. Nice-to-haves Python (or another backend language) used in production. Infrastructure/deployment tooling exposure (even at a basic level). Experience building internal tools for commercial teams. Exposure to security fundamentals (IAM concepts, threat modelling, secure defaults). How to apply Please include: Link to your GitHub profile and 1-3 repos you're proud of. A brief note explaining your CI/CD setup on one of those repos (what runs on PR, what runs on merge, how deployments work). A short example of how you've used AI coding tools (what you built, and how you tested/validated it). Optional: a short technical write-up you've written (README/docs/blog) that explains a system clearly. Interview process (what to expect) Initial screen: experience, motivation, and quick technical discussion. Repo walkthrough: you'll walk us through one GitHub project, including CI/CD and trade-offs. Practical exercise: a small build task focused on correctness, security-first thinking, and clear documentation. Final conversation: alignment on ownership, communication, and growth. Benefits Competitive salary Unlimited holiday allowance Learning and development investment (certs, conferences, etc) A Mac laptop Enhanced pension Private healthcare with vitality offering rewards and discounts from Amazon Prime to Gym Membership Belong at SenseOn: At SenseOn, we define Talent as employees who are customer obsessed, pursuing excellence. They are :lion_face: courageous, good people, doing good things, powering our :rocket: rocketship. If this resonates with you, then you will always belong. Nothing else matters. We are an Equal Opportunity Employer and do not discriminate against any qualified employee or applicant. Difference is what makes us stronger.
About Us We are are building an agentic AI & intelligence platform for sustainability action and decision-making. Organisations today are drowning in fragmented environmental data - carbon, biodiversity, water, policy, supply chains & more - but still struggle to answer the most important questions: What should we do next? What s the impact if we do? What s the return on action - financially and environmentally? Our startup exists to close that gap. We are building a workflow and decision making layer on top of sustainability data: AI agents that ingest messy real-world inputs, reason over them, run scenarios, recommend actions, and learn from outcomes over time. All while building up a knowledge and context graph to build the single best view of how the organisation works today. This is from a team who has worked in the sustainability space for years and have successfully exited a prior business to one of the largest businesses in the world. We re now taking that learning and building the AI-native version of sustainability consulting. The Role We re looking for Founding Full Stack AI Engineers who want to build agentic systems from the ground up. You ll work at the core of our platform - designing and implementing AI systems that: Ingest and structure unstructured sustainability data Reason across complex, uncertain domains Run simulations and scenario analysis Support multi-step decision-making workflows Improve continuously via feedback and memory You ll have real ownership, real influence on architecture, and direct exposure to customers and domain problems. Our key focus is to take our prototype and turn it into something we start to deploy, test and scale with customers. What We re Looking For Essential Strong software engineering fundamentals 7+ years building full-stack applications Proficiency in modern web technologies - ideally in React/Next.js/TypeScript Experience with backend development using Python Comfort working with messy, real-world data Clear communicator who can design, architect and explain complex systems Use of coding agents to accelerate work (Codex/Claude Code) Strong Plus Experience building agentic workflows that are trusted Experience with LangChain, LangGraph, or similar Experience building with vector databases, embeddings, RAG pipelines Experience with graph databases Experience building simulation, optimisation, or decision-support systems Prior startup or early-stage experience Why Join Us Work on problems that actually matter - climate, nature, social risk Build cutting-edge agentic systems Strong influence in early key decisions Meaningful equity at an early stage Work with a passionate team of successful founders Additional Application Instructions Please do drop us an email. We'd love to hear about your passion for sustainability and your experience of designing data models, architecting platforms and building from zero to one? What do you think about the latest generation of coding LLMs - good, bad, what have you used?
Apr 02, 2026
Full time
About Us We are are building an agentic AI & intelligence platform for sustainability action and decision-making. Organisations today are drowning in fragmented environmental data - carbon, biodiversity, water, policy, supply chains & more - but still struggle to answer the most important questions: What should we do next? What s the impact if we do? What s the return on action - financially and environmentally? Our startup exists to close that gap. We are building a workflow and decision making layer on top of sustainability data: AI agents that ingest messy real-world inputs, reason over them, run scenarios, recommend actions, and learn from outcomes over time. All while building up a knowledge and context graph to build the single best view of how the organisation works today. This is from a team who has worked in the sustainability space for years and have successfully exited a prior business to one of the largest businesses in the world. We re now taking that learning and building the AI-native version of sustainability consulting. The Role We re looking for Founding Full Stack AI Engineers who want to build agentic systems from the ground up. You ll work at the core of our platform - designing and implementing AI systems that: Ingest and structure unstructured sustainability data Reason across complex, uncertain domains Run simulations and scenario analysis Support multi-step decision-making workflows Improve continuously via feedback and memory You ll have real ownership, real influence on architecture, and direct exposure to customers and domain problems. Our key focus is to take our prototype and turn it into something we start to deploy, test and scale with customers. What We re Looking For Essential Strong software engineering fundamentals 7+ years building full-stack applications Proficiency in modern web technologies - ideally in React/Next.js/TypeScript Experience with backend development using Python Comfort working with messy, real-world data Clear communicator who can design, architect and explain complex systems Use of coding agents to accelerate work (Codex/Claude Code) Strong Plus Experience building agentic workflows that are trusted Experience with LangChain, LangGraph, or similar Experience building with vector databases, embeddings, RAG pipelines Experience with graph databases Experience building simulation, optimisation, or decision-support systems Prior startup or early-stage experience Why Join Us Work on problems that actually matter - climate, nature, social risk Build cutting-edge agentic systems Strong influence in early key decisions Meaningful equity at an early stage Work with a passionate team of successful founders Additional Application Instructions Please do drop us an email. We'd love to hear about your passion for sustainability and your experience of designing data models, architecting platforms and building from zero to one? What do you think about the latest generation of coding LLMs - good, bad, what have you used?
Director Solution Consulting UK & I page is loaded Director Solution Consulting UK & Ilocations: United Kingdomtime type: Full timeposted on: Posted 7 Days Agojob requisition id: JR109227Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.# As the Director of Solutions Consulting for UKI , you will play a pivotal role in driving sales success by leading and empowering a high-performing team of Solution Consultants. You'll provide strategic and technical leadership, set a clear vision, and execute a plan aligned with our growth objectives. Partnering closely with Sales Leadership and cross-functional teams across EMEA, you'll ensure Genesys continues to deliver exceptional value to our customers and partners. What You'll Do Lead, coach, and inspire a team of Solution Consultants, fostering a culture of excellence, continuous learning, and customer obsession. Partner with Sales and regional leadership to define and execute go-to-market strategies that align with business priorities and accelerate growth. Guide the team as trusted advisors , providing technical expertise and solution insight throughout the sales cycle to deliver value-driven customer outcomes through consultative engagement, solution design, and value-based storytelling. Ensure customer alignment by helping the team design tailored, data-driven solutions that address specific business challenges and priorities. Strengthen relationships with key customers, partners, and the broader technology ecosystem, representing Genesys as a thought leader at customer engagements, industry events, and conferences. Promote continuous improvement , optimizing processes, tools, and best practices to enhance team efficiency, impact, and alignment with global standards. Champion innovation , partnering with Product Management and Engineering to provide actionable, data-driven insights on customer needs, market trends, and product evolution. Monitor and report on key team performance metrics, sales enablement outcomes, and the business impact of Solution Consulting to executive leadership. Stay ahead of market trends and emerging technologies , ensuring the team maintains strong domain expertise and a competitive advantage. Qualifications Bachelor's degree in a relevant technical field; advanced degree preferred. 10+ years of experience in Solutions Consulting, Technical Sales or related leadership roles. Proven ability to build and manage high-performing teams. Deep understanding of AI, CCaaS, Customer & Employee Experience, and Digital domains. Exceptional communication and data-driven storytelling skills, able to articulate complex concepts to diverse audiences. Strategic thinker with strong problem-solving and innovation mindset. Highly collaborative, working effectively across Sales, Customer Success, Product, and Engineering. Results-oriented, with a focus on measurable impact and performance improvement. Proficient in relevant enterprise software and tools. Results-oriented, with a focus on measurable impact and performance improvement. Proficient in relevant enterprise software and tools. a Genesys employee referred you, please use the link they sent you to apply. About Genesys: Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit . Reasonable Accommodations: If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at can expect a response within 24-48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation-such as application follow-ups or resume submissions-may not receive a response. Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics. Please note that recruiters will never ask for sensitive personal or financial information during the application phase. Join our Talent Community.Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics. Please note that recruiters will never ask for sensitive personal or financial information during the application phase.
Apr 02, 2026
Full time
Director Solution Consulting UK & I page is loaded Director Solution Consulting UK & Ilocations: United Kingdomtime type: Full timeposted on: Posted 7 Days Agojob requisition id: JR109227Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.# As the Director of Solutions Consulting for UKI , you will play a pivotal role in driving sales success by leading and empowering a high-performing team of Solution Consultants. You'll provide strategic and technical leadership, set a clear vision, and execute a plan aligned with our growth objectives. Partnering closely with Sales Leadership and cross-functional teams across EMEA, you'll ensure Genesys continues to deliver exceptional value to our customers and partners. What You'll Do Lead, coach, and inspire a team of Solution Consultants, fostering a culture of excellence, continuous learning, and customer obsession. Partner with Sales and regional leadership to define and execute go-to-market strategies that align with business priorities and accelerate growth. Guide the team as trusted advisors , providing technical expertise and solution insight throughout the sales cycle to deliver value-driven customer outcomes through consultative engagement, solution design, and value-based storytelling. Ensure customer alignment by helping the team design tailored, data-driven solutions that address specific business challenges and priorities. Strengthen relationships with key customers, partners, and the broader technology ecosystem, representing Genesys as a thought leader at customer engagements, industry events, and conferences. Promote continuous improvement , optimizing processes, tools, and best practices to enhance team efficiency, impact, and alignment with global standards. Champion innovation , partnering with Product Management and Engineering to provide actionable, data-driven insights on customer needs, market trends, and product evolution. Monitor and report on key team performance metrics, sales enablement outcomes, and the business impact of Solution Consulting to executive leadership. Stay ahead of market trends and emerging technologies , ensuring the team maintains strong domain expertise and a competitive advantage. Qualifications Bachelor's degree in a relevant technical field; advanced degree preferred. 10+ years of experience in Solutions Consulting, Technical Sales or related leadership roles. Proven ability to build and manage high-performing teams. Deep understanding of AI, CCaaS, Customer & Employee Experience, and Digital domains. Exceptional communication and data-driven storytelling skills, able to articulate complex concepts to diverse audiences. Strategic thinker with strong problem-solving and innovation mindset. Highly collaborative, working effectively across Sales, Customer Success, Product, and Engineering. Results-oriented, with a focus on measurable impact and performance improvement. Proficient in relevant enterprise software and tools. Results-oriented, with a focus on measurable impact and performance improvement. Proficient in relevant enterprise software and tools. a Genesys employee referred you, please use the link they sent you to apply. About Genesys: Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit . Reasonable Accommodations: If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at can expect a response within 24-48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation-such as application follow-ups or resume submissions-may not receive a response. Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics. Please note that recruiters will never ask for sensitive personal or financial information during the application phase. Join our Talent Community.Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics. Please note that recruiters will never ask for sensitive personal or financial information during the application phase.
Overview - Featured Role Apply direct with Data Freelance Hub This role is for a Data & AI Scientist with a long term contract in London, offering a pay rate of "unknown." Key skills include advanced Python, AgenticAI tools, and experience with LLM applications. Hybrid work model; financial industry experience preferred. We are working with a leading edge financial innovation lab shaping the future of conversational banking. As a Data & AI Scientist, you will be at the forefront of the generative revolution, building production grade agentic workflows that redefine how customers interact with global banking systems. You will leverage advanced Python engineering and multi cloud infrastructure (Azure & GCP) to transition experimental AI into high impact, autonomous customer solutions. Responsibilities Architect and deploy production ready AgenticAI solutions using Langgraph, CrewAI, and multi agent frameworks. Design and scale RAG pipelines and generative search experiences, evolving standard vector search into fully conversational interfaces. Build robust integration patterns that allow AI agents to securely trigger actions and fulfill requests across core banking systems. Develop automated evaluation frameworks and LLMOps workflows for deterministic and generative conversation monitoring at scale. Provision and manage high performance AI infrastructure across both GCP (VertexAI) and Azure environments. What You'll Need Minimum 2+ years of experience building and deploying production grade LLM applications (moving beyond Jupyter notebooks). Expert level Python literacy with deep knowledge of AgenticAI tools such as Langgraph, ADK, and CrewAI. Proven experience in AI Engineering, including RAG pipelines, Prompt Engineering, and VertexAI. Strong background in LLMOps, including runtime evaluation, monitoring, and performance tuning. Knowledge of Responsible AI practices, ethics, and the development of safety guardrails is highly desirable. What's On Offer Long term stable contract within a high impact Conversational Banking Lab. Hybrid working model (3 days in a modern London hub) offering the perfect balance of collaboration and focus. Opportunity to work with cutting edge multi cloud AI stacks across both Azure and GCP. A fast paced, Agile environment where your AI designs go straight into the hands of customers. Apply Apply via Haystack today! Freelance data hiring powered by an engaged, trusted community-not a CV database.
Apr 01, 2026
Full time
Overview - Featured Role Apply direct with Data Freelance Hub This role is for a Data & AI Scientist with a long term contract in London, offering a pay rate of "unknown." Key skills include advanced Python, AgenticAI tools, and experience with LLM applications. Hybrid work model; financial industry experience preferred. We are working with a leading edge financial innovation lab shaping the future of conversational banking. As a Data & AI Scientist, you will be at the forefront of the generative revolution, building production grade agentic workflows that redefine how customers interact with global banking systems. You will leverage advanced Python engineering and multi cloud infrastructure (Azure & GCP) to transition experimental AI into high impact, autonomous customer solutions. Responsibilities Architect and deploy production ready AgenticAI solutions using Langgraph, CrewAI, and multi agent frameworks. Design and scale RAG pipelines and generative search experiences, evolving standard vector search into fully conversational interfaces. Build robust integration patterns that allow AI agents to securely trigger actions and fulfill requests across core banking systems. Develop automated evaluation frameworks and LLMOps workflows for deterministic and generative conversation monitoring at scale. Provision and manage high performance AI infrastructure across both GCP (VertexAI) and Azure environments. What You'll Need Minimum 2+ years of experience building and deploying production grade LLM applications (moving beyond Jupyter notebooks). Expert level Python literacy with deep knowledge of AgenticAI tools such as Langgraph, ADK, and CrewAI. Proven experience in AI Engineering, including RAG pipelines, Prompt Engineering, and VertexAI. Strong background in LLMOps, including runtime evaluation, monitoring, and performance tuning. Knowledge of Responsible AI practices, ethics, and the development of safety guardrails is highly desirable. What's On Offer Long term stable contract within a high impact Conversational Banking Lab. Hybrid working model (3 days in a modern London hub) offering the perfect balance of collaboration and focus. Opportunity to work with cutting edge multi cloud AI stacks across both Azure and GCP. A fast paced, Agile environment where your AI designs go straight into the hands of customers. Apply Apply via Haystack today! Freelance data hiring powered by an engaged, trusted community-not a CV database.
- Featured Role Apply Direct with Data Freelance Hub This role is a part-time Machine Learning Engineer position, offering $50-$100/hour for 30+ hours/week, primarily weekdays. Requirements include an active or recently graduated PhD, expertise in data science, machine learning, and Python, along with strong analytical skills. Location: Remote. United Kingdom. Position: PhD RaterType: Part-TimeCompensation: $50-$100/hourLocation: RemoteCommitment: 30+ hours/week (primarily weekdays) Responsibilities Design challenging, real-world STEM benchmark problems in domains such as data science, machine learning, finance, and software engineering. Implement tasks within an agentic development environment using Python. Create reproducible problem setups with clear specifications and executable tests. Evaluate and analyze AI model behavior, including reasoning traces and agent workflows. Diagnose reasoning failures, logic gaps, and problem-solving limitations in AI systems. Contribute to improving benchmark quality and evaluation frameworks for frontier AI models. Requirements Active or recently graduated PhD. Deep expertise in data science, machine learning, finance, and/or Python-based software development. Strong research background in advanced STEM topics. Ability to commit reliably for 30+ hours per week. Demonstrated technical output such as high-quality open-source contributions or research work. Ability to analyze agent behavior traces and diagnose failures beyond surface-level errors. Application Process Upload resume Interview Submit form Freelance data hiring powered by an engaged, trusted community - not a CV database.
Apr 01, 2026
Full time
- Featured Role Apply Direct with Data Freelance Hub This role is a part-time Machine Learning Engineer position, offering $50-$100/hour for 30+ hours/week, primarily weekdays. Requirements include an active or recently graduated PhD, expertise in data science, machine learning, and Python, along with strong analytical skills. Location: Remote. United Kingdom. Position: PhD RaterType: Part-TimeCompensation: $50-$100/hourLocation: RemoteCommitment: 30+ hours/week (primarily weekdays) Responsibilities Design challenging, real-world STEM benchmark problems in domains such as data science, machine learning, finance, and software engineering. Implement tasks within an agentic development environment using Python. Create reproducible problem setups with clear specifications and executable tests. Evaluate and analyze AI model behavior, including reasoning traces and agent workflows. Diagnose reasoning failures, logic gaps, and problem-solving limitations in AI systems. Contribute to improving benchmark quality and evaluation frameworks for frontier AI models. Requirements Active or recently graduated PhD. Deep expertise in data science, machine learning, finance, and/or Python-based software development. Strong research background in advanced STEM topics. Ability to commit reliably for 30+ hours per week. Demonstrated technical output such as high-quality open-source contributions or research work. Ability to analyze agent behavior traces and diagnose failures beyond surface-level errors. Application Process Upload resume Interview Submit form Freelance data hiring powered by an engaged, trusted community - not a CV database.
A leading financial innovation lab in London is seeking a Data & AI Scientist to develop production-grade AI solutions. The role involves architecting AgenticAI frameworks and scaling generative AI applications. Candidates should have a minimum of 2 years of experience in LLM applications and a strong background in Python and AI Engineering. This position offers a long-term contract with a hybrid work model, allowing flexibility and collaboration in a cutting-edge environment.
Apr 01, 2026
Full time
A leading financial innovation lab in London is seeking a Data & AI Scientist to develop production-grade AI solutions. The role involves architecting AgenticAI frameworks and scaling generative AI applications. Candidates should have a minimum of 2 years of experience in LLM applications and a strong background in Python and AI Engineering. This position offers a long-term contract with a hybrid work model, allowing flexibility and collaboration in a cutting-edge environment.
Founding Applied Scientist Build AI systems that learn from experience to move real business metrics London / Remote Full-time Pavo Labs About Pavo Pavo is building Enterprise Superintelligence: compounding systems that take ownership of business outcomes and work with humans to deliver them. We believe that while foundation models are necessary, they are not sufficient. The hard problem is systems intelligence: end-to-end architectures that understand a company's code, data, and decisions, and improve themselves through experience. We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. Our current team consists of PhDs and ML engineers from top applied ML and coding agent companies, with a heritage of shipping systems at Spotify, ShareChat, and Sourcegraph scale. Our team has built impressive momentum with a small group of highly capable engineers and researchers. The Opportunity As a Founding Applied Scientist, you will operate at the intersection of research and engineering, building the core systems that allow AI teammates to learn from enterprise environments, reason over tribal knowledge, and drive measurable business impact. You will help shape how applied science is practiced in the industry in the age of agents. This is a high-autonomy role for a builder who wants to move beyond static benchmarks and solve the "last mile" problem of AI reliability and agency in the enterprise. What You'll Build You will research, design, and ship the next generation of our system architecture, focusing on: Agents & Tribal Knowledge Systems: Design multi-agent architectures that tackle complex, long-horizon tasks. Solve High-Impact Applied Science Problems: Lead the charge in identifying, scoping, and solving complex business problems using machine learning. This includes everything from improving user engagement and retention to optimizing pricing and inventory. Partner with Customers: Work directly with the engineering and product teams of our most strategic customers. You'll be their trusted advisor for all things machine learning, helping them adopt agentic architectures. End-to-End Model Development: Design, build, and deploy production-grade machine learning models for our customers using the Pavo AI platform, extending its capabilities where necessary to handle large-scale user-centric systems. What We Are Looking For We are looking for exceptional individuals who can operate at the frontier of applied AI research. You should be as comfortable reading a NeurIPS paper as you are debugging a distributed system. Core Qualifications Experience & Impact: 4+ years of experience in Applied Science or ML Engineering, with a clear track record of shipping ML products that directly impacted top-line business metrics (e.g., retention, engagement, revenue) at scale (100M+ users). Production Engineering: You are an engineer first. Deep proficiency in Python/C++, experience with low-latency inference systems, and familiarity with distributed computing frameworks (Ray, Spark, Flink). You write code that survives in production, not just notebooks. The Full ML Lifecycle: Expertise in end-to end system design: from feature stores and real time data pipelines (Kafka/Beam) to A/B testing infrastructure and model monitoring. You understand the nuances of online vs. offline evaluation and have experience solving for feedback loops in production. Algorithmic Depth: Strong foundations in core ML approaches used in large-scale search/recsys (embeddings, retrieval & ranking, GNNs, bandits) combined with expertise in the frontier stack (LLMs, RL, multi agent orchestration). Technical Strategy: Experience defining technical roadmaps and architectural standards. You can navigate trade-offs between model complexity, serving latency, and engineering velocity. Nice to Have PhD or M.S. in Computer Science, Statistics, or a related quantitative field. Experience at a frontier AI lab or high growth AI startup. Publications in top tier ML conferences (e.g., NeurIPS, ICML, ICLR, KDD, RecSys). Background in recommender systems, personalization, causal inference, or computational advertising. Why Join Us Founding Equity: Significant ownership in a company tackling the next layer of the AI stack. Hard Problems: Work on unsolved problems in agentic reasoning, memory, and reinforcement learning. World Class Team: Collaborate with a dense talent cluster of researchers and engineers who have shipped products serving hundreds of millions of users. Pavo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Apr 01, 2026
Full time
Founding Applied Scientist Build AI systems that learn from experience to move real business metrics London / Remote Full-time Pavo Labs About Pavo Pavo is building Enterprise Superintelligence: compounding systems that take ownership of business outcomes and work with humans to deliver them. We believe that while foundation models are necessary, they are not sufficient. The hard problem is systems intelligence: end-to-end architectures that understand a company's code, data, and decisions, and improve themselves through experience. We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. Our current team consists of PhDs and ML engineers from top applied ML and coding agent companies, with a heritage of shipping systems at Spotify, ShareChat, and Sourcegraph scale. Our team has built impressive momentum with a small group of highly capable engineers and researchers. The Opportunity As a Founding Applied Scientist, you will operate at the intersection of research and engineering, building the core systems that allow AI teammates to learn from enterprise environments, reason over tribal knowledge, and drive measurable business impact. You will help shape how applied science is practiced in the industry in the age of agents. This is a high-autonomy role for a builder who wants to move beyond static benchmarks and solve the "last mile" problem of AI reliability and agency in the enterprise. What You'll Build You will research, design, and ship the next generation of our system architecture, focusing on: Agents & Tribal Knowledge Systems: Design multi-agent architectures that tackle complex, long-horizon tasks. Solve High-Impact Applied Science Problems: Lead the charge in identifying, scoping, and solving complex business problems using machine learning. This includes everything from improving user engagement and retention to optimizing pricing and inventory. Partner with Customers: Work directly with the engineering and product teams of our most strategic customers. You'll be their trusted advisor for all things machine learning, helping them adopt agentic architectures. End-to-End Model Development: Design, build, and deploy production-grade machine learning models for our customers using the Pavo AI platform, extending its capabilities where necessary to handle large-scale user-centric systems. What We Are Looking For We are looking for exceptional individuals who can operate at the frontier of applied AI research. You should be as comfortable reading a NeurIPS paper as you are debugging a distributed system. Core Qualifications Experience & Impact: 4+ years of experience in Applied Science or ML Engineering, with a clear track record of shipping ML products that directly impacted top-line business metrics (e.g., retention, engagement, revenue) at scale (100M+ users). Production Engineering: You are an engineer first. Deep proficiency in Python/C++, experience with low-latency inference systems, and familiarity with distributed computing frameworks (Ray, Spark, Flink). You write code that survives in production, not just notebooks. The Full ML Lifecycle: Expertise in end-to end system design: from feature stores and real time data pipelines (Kafka/Beam) to A/B testing infrastructure and model monitoring. You understand the nuances of online vs. offline evaluation and have experience solving for feedback loops in production. Algorithmic Depth: Strong foundations in core ML approaches used in large-scale search/recsys (embeddings, retrieval & ranking, GNNs, bandits) combined with expertise in the frontier stack (LLMs, RL, multi agent orchestration). Technical Strategy: Experience defining technical roadmaps and architectural standards. You can navigate trade-offs between model complexity, serving latency, and engineering velocity. Nice to Have PhD or M.S. in Computer Science, Statistics, or a related quantitative field. Experience at a frontier AI lab or high growth AI startup. Publications in top tier ML conferences (e.g., NeurIPS, ICML, ICLR, KDD, RecSys). Background in recommender systems, personalization, causal inference, or computational advertising. Why Join Us Founding Equity: Significant ownership in a company tackling the next layer of the AI stack. Hard Problems: Work on unsolved problems in agentic reasoning, memory, and reinforcement learning. World Class Team: Collaborate with a dense talent cluster of researchers and engineers who have shipped products serving hundreds of millions of users. Pavo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Senior Software Engineer / Full Stack Developer (TypeScript Node React AWS) London / WFH to £95k Are you a full stack technologist? You could be progressing your career in a hands-on Senior Software Engineer role at a well established consumer facing financial services company that help people to manage debt, as they go through a technical transformation and scale-up following recent investment. What's in it for you: Salary to £95k Bonus 25 days holiday Pension Employee Assistance Programme Onsite gym and well-being champions X2 volunteering days per year Opportunity to make an impact as part of new team in a role you can shape Your role: As a Senior Software Engineer you will design and develop customer facing applications, working across the full stack with a leaning towards TypeScript, Node and AWS on the backend but also with exposure to React on the front end, ensuring high standards of quality, security, reliability and operability across the stack. You'll also have exposure to mobile app development using React Native. Location / WFH: You'll be based in fantastic new offices in London that offer a wide range of facilities including wellness rooms and onsite gym for three days a week with flexibility to work from home twice a week. About you: You have advanced full stack development skills including TypeScript backends, microservices, APIs, React and also ideally React Native or Kotlin for mobile development You have a good understanding of distributed systems, RDBMS (Oracle) and data modelling trade-offs You have a good understanding of cloud native architecture and modern engineering practices such as CI/CD, Test Automation, monitoring and observability You have an interest in AI and agentic systems, ideally having used in a commercial setting You're collaborative and pragmatic, comfortable working closely with Product Managers to explain technical aspects and trade-offs to shape delivery plans that balance speed, quality and risk Apply now to find out more about this Senior Software Engineer / Full Stack Developer (TypeScript Node React AWS) opportunity.
Apr 01, 2026
Full time
Senior Software Engineer / Full Stack Developer (TypeScript Node React AWS) London / WFH to £95k Are you a full stack technologist? You could be progressing your career in a hands-on Senior Software Engineer role at a well established consumer facing financial services company that help people to manage debt, as they go through a technical transformation and scale-up following recent investment. What's in it for you: Salary to £95k Bonus 25 days holiday Pension Employee Assistance Programme Onsite gym and well-being champions X2 volunteering days per year Opportunity to make an impact as part of new team in a role you can shape Your role: As a Senior Software Engineer you will design and develop customer facing applications, working across the full stack with a leaning towards TypeScript, Node and AWS on the backend but also with exposure to React on the front end, ensuring high standards of quality, security, reliability and operability across the stack. You'll also have exposure to mobile app development using React Native. Location / WFH: You'll be based in fantastic new offices in London that offer a wide range of facilities including wellness rooms and onsite gym for three days a week with flexibility to work from home twice a week. About you: You have advanced full stack development skills including TypeScript backends, microservices, APIs, React and also ideally React Native or Kotlin for mobile development You have a good understanding of distributed systems, RDBMS (Oracle) and data modelling trade-offs You have a good understanding of cloud native architecture and modern engineering practices such as CI/CD, Test Automation, monitoring and observability You have an interest in AI and agentic systems, ideally having used in a commercial setting You're collaborative and pragmatic, comfortable working closely with Product Managers to explain technical aspects and trade-offs to shape delivery plans that balance speed, quality and risk Apply now to find out more about this Senior Software Engineer / Full Stack Developer (TypeScript Node React AWS) opportunity.
We're looking for a Full Stack Engineer who's excited to build secure, high-performance products used at scale. You'll work across Kotlin backend services and React/TypeScript frontends, while helping shape modern CI/CD pipelines and internal AI tooling. What you'll be doing Build and scale backend services using Kotlin & JVM frameworks Develop sleek, responsive UIs with React + TypeScript Own code from idea production with CI/CD pipelines Contribute to cutting-edge agentic AI tooling for engineering teams Collaborate closely with engineers, product, and stakeholders Debug, optimise, and continuously improve live systems Essential experience Experience with Kotlin + TypeScript Solid hands-on experience with React Understanding of CI/CD (GitHub Actions, Jenkins, GitLab CI) Strong communication skills - you can explain tech clearly Curiosity, ownership, and a Cloud experience (AWS, GCP, Azure) Docker / Kubernetes knowledge Interest in secure coding & data privacy Exposure to fintech / regulated environments Rates depend on experience and client requirements
Apr 01, 2026
Contractor
We're looking for a Full Stack Engineer who's excited to build secure, high-performance products used at scale. You'll work across Kotlin backend services and React/TypeScript frontends, while helping shape modern CI/CD pipelines and internal AI tooling. What you'll be doing Build and scale backend services using Kotlin & JVM frameworks Develop sleek, responsive UIs with React + TypeScript Own code from idea production with CI/CD pipelines Contribute to cutting-edge agentic AI tooling for engineering teams Collaborate closely with engineers, product, and stakeholders Debug, optimise, and continuously improve live systems Essential experience Experience with Kotlin + TypeScript Solid hands-on experience with React Understanding of CI/CD (GitHub Actions, Jenkins, GitLab CI) Strong communication skills - you can explain tech clearly Curiosity, ownership, and a Cloud experience (AWS, GCP, Azure) Docker / Kubernetes knowledge Interest in secure coding & data privacy Exposure to fintech / regulated environments Rates depend on experience and client requirements
Role: Full Stack Commerce Engineer (Generative AI/ML) Location: London, UK Salary: Competitive salary and package dependent on experience Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, song, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team: You will be joining our growing Commerce Engineering team, a dynamic group at the intersection of technology, client-facing strategy, and artificial intelligence. We operate as "Forward Deployed Engineers," perfectly bridging the gap between our clients' most ambitious goals and our core engineering teams. Our mission is to architect and deliver the next generation of commerce. We work on innovative projects with colleagues to drive collaboration from strategy through to implementation, using the latest technologies - with a particular focus on Generative AI - to help our clients achieve market leadership. You'll learn, grow, and advance in an innovative culture that thrives on shared success, diverse ways of thinking, and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. In our team you will learn: How to architect and build sophisticated, AI-driven solutions that solve real-world commerce challenges for leading global brands. To design and integrate Generative AI capabilities with a complex enterprise Experience Platform ecosystem (DAM, PXM, CDP, Commerce Engines, CMS, Syndication Channels, CRMs). How to translate executive-level business strategy into cutting-edge, production-grade technical applications on cloud platforms like Azure and GCP. As a Full Stack Commerce Engineer Manager, you will: Lead Client-Facing Engagements: Act as the primary technical authority in client workshops, designing use-case and platform technology solutions that use Generative AI to solve their key business challenges. Architect & Build AI-Powered Solutions: Design and build complex, full-stack solutions from inception through to production. This includes engineering agentic workflows in Python and integrating LLMs from Nvidia, Writer, OpenAI/ChatGPT, and Google Gemini. Integrate with the Commerce Ecosystem: Architect data flows and integrations between AI/ML models and enterprise experience platforms, understanding how to leverage AI to structure and enrich data for PXM, CDP, and other systems. Manage Advanced Databases: Design and implement robust database solutions, utilizing SQL and NoSQL databases and developing complex Store Procedures to handle large-scale commerce data. Drive Technical Strategy & Mentor Teams: Contribute to the technology strategy and solution design for major commerce projects, managing and supporting other developers and sharing insights across the Accenture Data & AI community.
Apr 01, 2026
Full time
Role: Full Stack Commerce Engineer (Generative AI/ML) Location: London, UK Salary: Competitive salary and package dependent on experience Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, song, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team: You will be joining our growing Commerce Engineering team, a dynamic group at the intersection of technology, client-facing strategy, and artificial intelligence. We operate as "Forward Deployed Engineers," perfectly bridging the gap between our clients' most ambitious goals and our core engineering teams. Our mission is to architect and deliver the next generation of commerce. We work on innovative projects with colleagues to drive collaboration from strategy through to implementation, using the latest technologies - with a particular focus on Generative AI - to help our clients achieve market leadership. You'll learn, grow, and advance in an innovative culture that thrives on shared success, diverse ways of thinking, and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. In our team you will learn: How to architect and build sophisticated, AI-driven solutions that solve real-world commerce challenges for leading global brands. To design and integrate Generative AI capabilities with a complex enterprise Experience Platform ecosystem (DAM, PXM, CDP, Commerce Engines, CMS, Syndication Channels, CRMs). How to translate executive-level business strategy into cutting-edge, production-grade technical applications on cloud platforms like Azure and GCP. As a Full Stack Commerce Engineer Manager, you will: Lead Client-Facing Engagements: Act as the primary technical authority in client workshops, designing use-case and platform technology solutions that use Generative AI to solve their key business challenges. Architect & Build AI-Powered Solutions: Design and build complex, full-stack solutions from inception through to production. This includes engineering agentic workflows in Python and integrating LLMs from Nvidia, Writer, OpenAI/ChatGPT, and Google Gemini. Integrate with the Commerce Ecosystem: Architect data flows and integrations between AI/ML models and enterprise experience platforms, understanding how to leverage AI to structure and enrich data for PXM, CDP, and other systems. Manage Advanced Databases: Design and implement robust database solutions, utilizing SQL and NoSQL databases and developing complex Store Procedures to handle large-scale commerce data. Drive Technical Strategy & Mentor Teams: Contribute to the technology strategy and solution design for major commerce projects, managing and supporting other developers and sharing insights across the Accenture Data & AI community.
Team - Data Science Working Pattern - Hybrid - 2 days per week in the Vitality London Office. Full time, 37.5 hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: Expert AI/ML Skills - Strong in both traditional ML and modern LLM/RAG/agentic workflows Production Deployment & MLOps - Comfortable shipping scalable AI systems using APIs, microservices, Docker/Kubernetes, and cloud (GCP ideal) Business Partnering - Able to translate business needs into clear technical requirements and work across teams What this role is all about: At Vitality, data scientists and AI Engineers develop and deploy innovative AI applications spanning the entire value chain of our business, including marketing, sales & retention, underwriting, claims, health and wellness management, customer service, and fraud. The Data Science function is recognised as a core driver of strategic value within the business, with a high-profile and strong support allowing the team to confidently take on and deliver transformational projects.We are seeking highly skilled AI Engineers to join our growing team. You will design, develop, and deploy AI-driven applications leveraging both traditional machine learning and LLM based applications. The role involves building internal and external AI solutions such as Retrieval-Augmented Generation (RAG) systems, chatbots, and voice-based customer service platforms, all deployed on Google Cloud Platform (GCP). You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable, and production-ready AI solutions. Key Actions Stay current with advancements in LLM frameworks, agentic SDKs, and cloud-native AI deployment Work with the business to gather business requirements for new AI applications Design and implement AI applications Deploy AI applications into production environments on a Google Cloud Platform Collaborate with cross-functional teams to integrate AI applications with Enterprise systems Optimise models for performance, scalability, and cost-efficiency What do you need to thrive? Demonstrable experience of working with the business to create a detailed set of project requirements Strong foundation in traditional machine learning (classification, regression, etc.) Hands-on experience with LLM-based applications Experience building RAG systems and agentic workflows that leverage external tools Familiarity with agentic SDKs (ADK, LangChain, LlamaIndex, etc.) Proven track record of deploying AI applications into production environments Strong understanding of API development, microservices, and containerization (Docker, Kubernetes) Knowledge of MLOps best practices Excellent problem-solving skills and ability to work in a fast-paced environment So, what's in it for you? Bonus Schemes - A bonus that regularly rewards you for your performance A pension of up to 12%- We will match your contributions up to 6% of your salary Our award-winning Vitality health insurance - With its own set of rewards and benefits Life Assurance - Four times annual salary These are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities! If you are successful in your application and join us at Vitality, this is our promise to you, w e will: Help you to be the healthiest you've ever been Create an environment that embraces you as you are and enables you to be your best self Give you flexibility on how, where and when you work Help you advance your career by playing you to your strengths Give you a voice to help our business grow and make Vitality a great place to be Give you the space to try, fail and learn Provide a healthy balance of challenge and support Recognise and reward you with a competitive salary and amazing benefits Be there for you when you need us Provide opportunities for you to be a force for good in society We commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy.About The CompanyWe're incredibly proud to be recognised for the culture we've created - recently being named one of Glassdoor's Best Places to Work 2026 , and in 2024 we were delighted to be awarded Top 10 Places to Work in the Sunday Times Awards. Vitality is a multi-award-winning UK insurance brand, here to make the world a healthier, happier place.We've been a purpose and values-driven business from day 1- long before it became fashionable. Our core purpose is to make people healthier and enhance protect their lives. Vitality pioneered shared-value insurance. We incentivise people to live healthier longer lives - they benefit, our business benefits, and society benefits. We're successful because we attract, develop, and retain the best people - and because we care. Diversity & Inclusion At Vitality, we're committed to diversity and inclusion because it's good for our employees, for our business, and for society. We welcome applications from individuals of all backgrounds, experiences, and perspectives. Vitality's approach to sustainability Vitality is a business that drives positive change. We reward people for making and sustaining healthier choices. But healthy people also need a healthy environment. To learn more please visit our Careers page.
Apr 01, 2026
Full time
Team - Data Science Working Pattern - Hybrid - 2 days per week in the Vitality London Office. Full time, 37.5 hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: Expert AI/ML Skills - Strong in both traditional ML and modern LLM/RAG/agentic workflows Production Deployment & MLOps - Comfortable shipping scalable AI systems using APIs, microservices, Docker/Kubernetes, and cloud (GCP ideal) Business Partnering - Able to translate business needs into clear technical requirements and work across teams What this role is all about: At Vitality, data scientists and AI Engineers develop and deploy innovative AI applications spanning the entire value chain of our business, including marketing, sales & retention, underwriting, claims, health and wellness management, customer service, and fraud. The Data Science function is recognised as a core driver of strategic value within the business, with a high-profile and strong support allowing the team to confidently take on and deliver transformational projects.We are seeking highly skilled AI Engineers to join our growing team. You will design, develop, and deploy AI-driven applications leveraging both traditional machine learning and LLM based applications. The role involves building internal and external AI solutions such as Retrieval-Augmented Generation (RAG) systems, chatbots, and voice-based customer service platforms, all deployed on Google Cloud Platform (GCP). You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable, and production-ready AI solutions. Key Actions Stay current with advancements in LLM frameworks, agentic SDKs, and cloud-native AI deployment Work with the business to gather business requirements for new AI applications Design and implement AI applications Deploy AI applications into production environments on a Google Cloud Platform Collaborate with cross-functional teams to integrate AI applications with Enterprise systems Optimise models for performance, scalability, and cost-efficiency What do you need to thrive? Demonstrable experience of working with the business to create a detailed set of project requirements Strong foundation in traditional machine learning (classification, regression, etc.) Hands-on experience with LLM-based applications Experience building RAG systems and agentic workflows that leverage external tools Familiarity with agentic SDKs (ADK, LangChain, LlamaIndex, etc.) Proven track record of deploying AI applications into production environments Strong understanding of API development, microservices, and containerization (Docker, Kubernetes) Knowledge of MLOps best practices Excellent problem-solving skills and ability to work in a fast-paced environment So, what's in it for you? Bonus Schemes - A bonus that regularly rewards you for your performance A pension of up to 12%- We will match your contributions up to 6% of your salary Our award-winning Vitality health insurance - With its own set of rewards and benefits Life Assurance - Four times annual salary These are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities! If you are successful in your application and join us at Vitality, this is our promise to you, w e will: Help you to be the healthiest you've ever been Create an environment that embraces you as you are and enables you to be your best self Give you flexibility on how, where and when you work Help you advance your career by playing you to your strengths Give you a voice to help our business grow and make Vitality a great place to be Give you the space to try, fail and learn Provide a healthy balance of challenge and support Recognise and reward you with a competitive salary and amazing benefits Be there for you when you need us Provide opportunities for you to be a force for good in society We commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy.About The CompanyWe're incredibly proud to be recognised for the culture we've created - recently being named one of Glassdoor's Best Places to Work 2026 , and in 2024 we were delighted to be awarded Top 10 Places to Work in the Sunday Times Awards. Vitality is a multi-award-winning UK insurance brand, here to make the world a healthier, happier place.We've been a purpose and values-driven business from day 1- long before it became fashionable. Our core purpose is to make people healthier and enhance protect their lives. Vitality pioneered shared-value insurance. We incentivise people to live healthier longer lives - they benefit, our business benefits, and society benefits. We're successful because we attract, develop, and retain the best people - and because we care. Diversity & Inclusion At Vitality, we're committed to diversity and inclusion because it's good for our employees, for our business, and for society. We welcome applications from individuals of all backgrounds, experiences, and perspectives. Vitality's approach to sustainability Vitality is a business that drives positive change. We reward people for making and sustaining healthier choices. But healthy people also need a healthy environment. To learn more please visit our Careers page.
Agentic SDLC Platform Engineer 1.Platform / Agentic throught leadership in how to construct the foundations and generic capabilities which will need to be delivered for all engineeirng teams in order to achieve sustainable agentic ai support within the LBG Platform 4.0 SDLCcontext. 1.By definition an experienced architect/engineer who understands how to construct and integrate hybrid agenticworkflow click apply for full job details
Mar 31, 2026
Contractor
Agentic SDLC Platform Engineer 1.Platform / Agentic throught leadership in how to construct the foundations and generic capabilities which will need to be delivered for all engineeirng teams in order to achieve sustainable agentic ai support within the LBG Platform 4.0 SDLCcontext. 1.By definition an experienced architect/engineer who understands how to construct and integrate hybrid agenticworkflow click apply for full job details
Proven experience applying deep technical expertise across AI, ML, LLMs, agentic AI, and applied AI engineering, driving the design, evaluation, and governance of advanced AI solutions Proven experience designing, evaluating and governing multi-agent systems, incorporating memory structures, tool-use orchestration, planning algorithms and autonomy controls click apply for full job details
Mar 31, 2026
Contractor
Proven experience applying deep technical expertise across AI, ML, LLMs, agentic AI, and applied AI engineering, driving the design, evaluation, and governance of advanced AI solutions Proven experience designing, evaluating and governing multi-agent systems, incorporating memory structures, tool-use orchestration, planning algorithms and autonomy controls click apply for full job details
