101 to 125 of 8,515 Artificial Intelligence Jobs in England

AI Solutions Specialist The AI Solutions Specialist is a key technical leader within the Pre-sales function, driving the design and delivery of enterprise-scale AI and CX solutions. You will act as a trusted advisor to clients, leading discovery workshops, validating architectures, and translating AI capability into measurable business outcomes. This role combines deep technical expertise with strong commercial … executive-level presentation skills, making you central to the company’s success in competitive sales cycles. Key Responsibilities Lead discovery sessions with enterprise clients to uncover opportunities and map AI to business needs. Design and validate end-to-end AI and automation architectures, ensuring scalability, resilience, and security. Own technical & operational service responses for proposals, RFPs, and pitches, ensuring clarity … and credibility. Deliver engaging demonstrations and presentations that showcase ROI and competitive advantage. Act as an AI authority during sales cycles, influencing deal strategy and client positioning. Partner with Solution Engineers on proofs-of-concept and demos under time-sensitive conditions. Provide customer and market insights to inform the company’s product and proposition roadmap. Mentor junior and associate colleagues More ❯

AI Solutions Specialist The AI Solutions Specialist is a key technical leader within the Pre-sales function, driving the design and delivery of enterprise-scale AI and CX solutions. You will act as a trusted advisor to clients, leading discovery workshops, validating architectures, and translating AI capability into measurable business outcomes. This role combines deep technical expertise with strong commercial … executive-level presentation skills, making you central to the company’s success in competitive sales cycles. Key Responsibilities Lead discovery sessions with enterprise clients to uncover opportunities and map AI to business needs. Design and validate end-to-end AI and automation architectures, ensuring scalability, resilience, and security. Own technical & operational service responses for proposals, RFPs, and pitches, ensuring clarity … and credibility. Deliver engaging demonstrations and presentations that showcase ROI and competitive advantage. Act as an AI authority during sales cycles, influencing deal strategy and client positioning. Partner with Solution Engineers on proofs-of-concept and demos under time-sensitive conditions. Provide customer and market insights to inform the company’s product and proposition roadmap. Mentor junior and associate colleagues More ❯

core values shape our culture and guide our decision-making. We are committed to: Excellence Responsibility Empowerment Connectivity Courage Role Overview We are seeking a seasoned and visionary Lead, AI & Data Science to drive the strategy, development, and deployment of advanced AI solutions across our Digital Solutions department. This role is leadership and technically grounded, you will define and guide … our AI roadmap, mentor a team of experts, and ensure delivery of world-class solutions. While you will not be coding daily, you must possess deep technical knowledge across the AI/ML spectrum and the ability to review, advise, and step in when critical decisions or mentorship are needed. You will play a pivotal role in building and scaling … the AI & Data Science team, shaping career paths, and representing the department in global events, partnerships, and thought leadership platforms. Key Responsibilities Strategic & Technical Leadership Define and lead the AI & Data Science vision and roadmap , aligned with business priorities. Provide technical oversight for AI initiatives across domains: Generative AI & LLMs (fine-tuning, RAG pipelines, multi-agent systems). Predictive Analytics More ❯

AI Solutions Specialist The AI Solutions Specialist is a key technical leader within the Pre-sales function, driving the design and delivery of enterprise-scale AI and CX solutions. You will act as a trusted advisor to clients, leading discovery workshops, validating architectures, and translating AI capability into measurable business outcomes. This role combines deep technical expertise with strong commercial … executive-level presentation skills, making you central to the company’s success in competitive sales cycles. Key Responsibilities Lead discovery sessions with enterprise clients to uncover opportunities and map AI to business needs. Design and validate end-to-end AI and automation architectures, ensuring scalability, resilience, and security. Own technical & operational service responses for proposals, RFPs, and pitches, ensuring clarity … and credibility. Deliver engaging demonstrations and presentations that showcase ROI and competitive advantage. Act as an AI authority during sales cycles, influencing deal strategy and client positioning. Partner with Solution Engineers on proofs-of-concept and demos under time-sensitive conditions. Provide customer and market insights to inform the company’s product and proposition roadmap. Mentor junior and associate colleagues More ❯

AI Solutions Specialist The AI Solutions Specialist is a key technical leader within the Pre-sales function, driving the design and delivery of enterprise-scale AI and CX solutions. You will act as a trusted advisor to clients, leading discovery workshops, validating architectures, and translating AI capability into measurable business outcomes. This role combines deep technical expertise with strong commercial … executive-level presentation skills, making you central to the company’s success in competitive sales cycles. Key Responsibilities Lead discovery sessions with enterprise clients to uncover opportunities and map AI to business needs. Design and validate end-to-end AI and automation architectures, ensuring scalability, resilience, and security. Own technical & operational service responses for proposals, RFPs, and pitches, ensuring clarity … and credibility. Deliver engaging demonstrations and presentations that showcase ROI and competitive advantage. Act as an AI authority during sales cycles, influencing deal strategy and client positioning. Partner with Solution Engineers on proofs-of-concept and demos under time-sensitive conditions. Provide customer and market insights to inform the company’s product and proposition roadmap. Mentor junior and associate colleagues More ❯

AI Solutions Specialist The AI Solutions Specialist is a key technical leader within the Pre-sales function, driving the design and delivery of enterprise-scale AI and CX solutions. You will act as a trusted advisor to clients, leading discovery workshops, validating architectures, and translating AI capability into measurable business outcomes. This role combines deep technical expertise with strong commercial … executive-level presentation skills, making you central to the company’s success in competitive sales cycles. Key Responsibilities Lead discovery sessions with enterprise clients to uncover opportunities and map AI to business needs. Design and validate end-to-end AI and automation architectures, ensuring scalability, resilience, and security. Own technical & operational service responses for proposals, RFPs, and pitches, ensuring clarity … and credibility. Deliver engaging demonstrations and presentations that showcase ROI and competitive advantage. Act as an AI authority during sales cycles, influencing deal strategy and client positioning. Partner with Solution Engineers on proofs-of-concept and demos under time-sensitive conditions. Provide customer and market insights to inform the company’s product and proposition roadmap. Mentor junior and associate colleagues More ❯

portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and GenAI/ML, compute, and analysis platforms. We're seeking a highly skilled Director for AI/ML, Compute, Infra & DevOps Platforms products. In this role you will develop the product strategy for our core developer platforms, combine technical depth with strategic vision, and lead teams … to drive product success in a cutting edge R&D setting. Key Responsibilities Develop and execute a comprehensive product strategy for our platform products, including AI/ML, GenAI, Compute/Analytics, Cloud/Physical Infrastructure, and DevOps platforms. Define and prioritize features, enhancements, and functionalities based on user analysis, customer feedback, and business requirements. Plan and oversee product launches … tools and cloud based platforms. Experience managing developer platforms, tools, and services. Hands on experience with DevOps and engineering tools (GitLab, GitHub, Azure DevOps, Docker, Kubernetes). Proficiency with AI/ML and MLOps platforms (Databricks, Google Cloud Vertex AI, SageMaker). Familiarity with generative AI technologies and frameworks (OpenAI, Google Gemini, Hugging Face Transformers). Demonstrated success in developing More ❯

continue to become an indispensable partner to brands everywhere. Job Details Role Overview We are seeking a strategic and technically adept Principal Product Manager to lead the development of AI and machine learning-based solutions. This role is pivotal in shaping the future of our AI product portfolio, translating complex technologies into impactful business applications. You will work cross-functionally … with stakeholders in data science, engineering, customer success, and business leadership to deliver innovative AI capabilities that solve real-world problems. Key Responsibilities Define and drive the product vision, strategy, and roadmap for AI applications and capabilities. Lead end-to-end product development for complex AI solutions, including LLM-based and ML-based products. Collaborate with cross-functional teams to … stakeholders. Conduct market and user research to identify opportunities and validate product direction. Own product performance metrics and iterate based on feedback and data insights. Champion responsible and ethical AI practices throughout the product lifecycle. Prepare and lead case study evaluations during the hiring process to assess candidate fit. Requirements Proven experience in building AI/ML products, ideally from More ❯

Are you passionate about AI systems design and enterprise architecture? We have an exciting role for you – Enterprise Architect, Agentic AI Implementation! Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and … stakeholders. Gain access to endless learning opportunities. Work closely with the range of teams within the business to bring products to life. The Role As an Enterprise Architect, Agentic AI Implementation , you will serve as a strategic leader responsible for defining and implementing enterprise-wide architecture for autonomous AI agents and Generative AI solutions. This role demands deep expertise in … enterprise architecture, AI systems design, and cloud-native platforms, specifically Microsoft Azure, leveraging services such as Azure AI Studio/Foundry, Azure OpenAI, and Databricks. You will collaborate closely with C-suite executives, Directors, business and technology stakeholders, data scientists, and engineering teams to ensure AI initiatives are scalable, secure, ethically sound, and aligned with the client’s core mission More ❯

Are you passionate about AI systems design and enterprise architecture? We have an exciting role for you – Enterprise Architect, Agentic AI Implementation! Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and … stakeholders. Gain access to endless learning opportunities. Work closely with the range of teams within the business to bring products to life. The Role As an Enterprise Architect, Agentic AI Implementation , you will serve as a strategic leader responsible for defining and implementing enterprise-wide architecture for autonomous AI agents and Generative AI solutions. This role demands deep expertise in … enterprise architecture, AI systems design, and cloud-native platforms, specifically Microsoft Azure, leveraging services such as Azure AI Studio/Foundry, Azure OpenAI, and Databricks. You will collaborate closely with C-suite executives, Directors, business and technology stakeholders, data scientists, and engineering teams to ensure AI initiatives are scalable, secure, ethically sound, and aligned with the client’s core mission More ❯

Are you passionate about AI systems design and enterprise architecture? We have an exciting role for you – Enterprise Architect, Agentic AI Implementation! Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and … stakeholders. Gain access to endless learning opportunities. Work closely with the range of teams within the business to bring products to life. The Role As an Enterprise Architect, Agentic AI Implementation , you will serve as a strategic leader responsible for defining and implementing enterprise-wide architecture for autonomous AI agents and Generative AI solutions. This role demands deep expertise in … enterprise architecture, AI systems design, and cloud-native platforms, specifically Microsoft Azure, leveraging services such as Azure AI Studio/Foundry, Azure OpenAI, and Databricks. You will collaborate closely with C-suite executives, Directors, business and technology stakeholders, data scientists, and engineering teams to ensure AI initiatives are scalable, secure, ethically sound, and aligned with the client’s core mission More ❯

Job Title : Business & Data Governance Associate - Data Science & AI Corporate Title : Associate Department : Chief Data Office Location : London (Hybrid) Company overview: Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management … visit Department overview: The Chief Data Office is a second line of defence function that plays a key role in defining and implementing the firm's data, cloud and AI strategy, driving change through these capabilities, enforcing data, cloud and AI governance for the firm, and elevating Nomura's data culture. Governance remains a critical focus area, and the Chief … on analyses and build solutions prototypes (pertaining to Risk & Controls domain). We are looking for an individual with an understanding of operational risks emanating from interconnected risks of AI systems, data management, and cloud infrastructure. The specifics of the role involves: Lead the development of advanced analytics solutions for AI based automation of BAU processes for Data, Cloud & AI More ❯

With a strong position in private markets and alternatives across real assets, real estate, credit and insurance, we pair operating expertise with proprietary data. Our Data Science, Analytics and AI team turns that advantage into outcomes by embedding a data-driven decision-making culture and advancing analytics and AI to drive growth, transforming how private markets are managed, scaled and … role will you play? As the Lead Data Scientist at Macquarie Asset Management, you will partner with business leaders, engineering, and cross-functional teams to architect the future of AI and data science, owning the end-to-end strategy, influencing executive and board-level decisions, and shaping how AI transforms our business. You will lead, inspire, and grow a high … performing global team, fostering technical excellence, diversity of thought, and a culture of ambitious experimentation. Leveraging modern platforms, you will pioneer production-grade agentic AI and digital co-worker capabilities by harnessing advanced machine learning, natural language processing (NLP), and large language models (LLMs) to solve complex challenges and drive innovation across investment management, client servicing, fund management, and corporate More ❯

or call TCS London Office number 02031552100/+44 204 520 2575 with the subject line: “Application Support Request”. Are you looking to leverage your expertise in agentic AI architecture and development? We have a great opportunity for you – Lead Engineer – Agentic AI! Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. … Class Innovative, Interactive Digital Experiences across all channels, for our customers, and establish TCS as #1 leader in the Digital Interactive space. Lead the design and deployment of agentic AI systems that automate complex enterprise workflows. Integrate data, platforms, and AI models to deliver scalable, intelligent solutions across business domains. Architect secure, cloud-native frameworks that enable autonomous decision-making … and seamless system interoperability. The Role As a Lead Engineer – Agentic AI , you will lead the architecture, development, and deployment of next-generation agentic AI systems designed to transform enterprise operations. These intelligent agents will autonomously orchestrate workflows, analyze real-time data, and embed decision-making across domains such as finance, sales, and operations. You will guide cross-functional teams More ❯

Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs in the Finance/Telecomm/LSH/Manufacturing/Retail domain. Prior experience in identifying new opportunities … to optimize the business through analytics, AI/ML and use case prioritization. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs … Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. Cloud Computing Expertise: Proven architect kind of experience in cloud computing, particularly with Azure Cloud Services. Technical Proficiency: Strong skills More ❯

Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs in the Finance/Telecomm/LSH/Manufacturing/Retail domain. Prior experience in identifying new opportunities … to optimize the business through analytics, AI/ML and use case prioritization. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs … Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. Cloud Computing Expertise: Proven architect kind of experience in cloud computing, particularly with Azure Cloud Services. Technical Proficiency: Strong skills More ❯

Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs in the Finance/Telecomm/LSH/Manufacturing/Retail domain. Prior experience in identifying new opportunities … to optimize the business through analytics, AI/ML and use case prioritization. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs … Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. Cloud Computing Expertise: Proven architect kind of experience in cloud computing, particularly with Azure Cloud Services. Technical Proficiency: Strong skills More ❯

Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs in the Finance/Telecomm/LSH/Manufacturing/Retail domain. Prior experience in identifying new opportunities … to optimize the business through analytics, AI/ML and use case prioritization. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs … Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. Cloud Computing Expertise: Proven architect kind of experience in cloud computing, particularly with Azure Cloud Services. Technical Proficiency: Strong skills More ❯

Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs in the Finance/Telecomm/LSH/Manufacturing/Retail domain. Prior experience in identifying new opportunities … to optimize the business through analytics, AI/ML and use case prioritization. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs … Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. Cloud Computing Expertise: Proven architect kind of experience in cloud computing, particularly with Azure Cloud Services. Technical Proficiency: Strong skills More ❯

skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes. Sustainable Finance data is increasingly crucial for our clients - providing deeper intelligence than conventional financial analysis alone. Climate change, regulatory pressures, the importance of human capital, and diversity are just a few critical factors global investors consider to best identify emerging … Climate data and analytics products, and ensure alignment with product strategy. Use Python to query, analyze, and automate workflows. Leverage advanced data analysis, statistical and data profiling techniques, and AI tools to identify trends, validate assumptions, and enhance the quality and utility of derived data. Apply statistical and AI-driven techniques to validate, improve, and enhance datasets. Troubleshoot and resolve … 4+ years of experience in Sustainable Finance, preferably with sustainable finance-related financial products. Subject matter expertise to research, develop, and translate sustainable finance content into data products, applying AI to scale data collection. Strong foundation in data management, governance, quality assurance, and statistical analysis to identify gaps, improve data quality, and generate insights. Proficiency in scripting languages (preferably Python More ❯

Junior AI Engineer – Master’s Graduate Role Location: London (Hybrid) Salary: £40,000 – £45,000 + Bonus + Benefits Start Date: ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior AI Engineer to join a dynamic, fast-growing team working at the forefront of artificial intelligence, machine learning, and cloud-native applications. This is … an excellent opportunity for a recent Master’s graduate eager to apply their academic and project experience to developing and deploying AI solutions in real-world settings. You’ll collaborate with experienced AI engineers, data scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be … Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers More ❯

Junior AI Engineer – Master’s Graduate Role Location: London (Hybrid) Salary: £40,000 – £45,000 + Bonus + Benefits Start Date: ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior AI Engineer to join a dynamic, fast-growing team working at the forefront of artificial intelligence, machine learning, and cloud-native applications. This is … an excellent opportunity for a recent Master’s graduate eager to apply their academic and project experience to developing and deploying AI solutions in real-world settings. You’ll collaborate with experienced AI engineers, data scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be … Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers More ❯

Junior AI Engineer – Master’s Graduate Role Location: London (Hybrid) Salary: £40,000 – £45,000 + Bonus + Benefits Start Date: ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior AI Engineer to join a dynamic, fast-growing team working at the forefront of artificial intelligence, machine learning, and cloud-native applications. This is … an excellent opportunity for a recent Master’s graduate eager to apply their academic and project experience to developing and deploying AI solutions in real-world settings. You’ll collaborate with experienced AI engineers, data scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be … Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers More ❯

Junior AI Engineer – Master’s Graduate Role Location: London (Hybrid) Salary: £40,000 – £45,000 + Bonus + Benefits Start Date: ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior AI Engineer to join a dynamic, fast-growing team working at the forefront of artificial intelligence, machine learning, and cloud-native applications. This is … an excellent opportunity for a recent Master’s graduate eager to apply their academic and project experience to developing and deploying AI solutions in real-world settings. You’ll collaborate with experienced AI engineers, data scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be … Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers More ❯

Junior AI Engineer – Master’s Graduate Role Location: London (Hybrid) Salary: £40,000 – £45,000 + Bonus + Benefits Start Date: ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior AI Engineer to join a dynamic, fast-growing team working at the forefront of artificial intelligence, machine learning, and cloud-native applications. This is … an excellent opportunity for a recent Master’s graduate eager to apply their academic and project experience to developing and deploying AI solutions in real-world settings. You’ll collaborate with experienced AI engineers, data scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be … Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers More ❯