18 open jobs on The Stack list Generative AI as a key skill. They come from 11 companies in 6 countries, and 18 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names Generative AI in its key skills. We do not guess skills from the job title.
What you'll do: Design, develop, and deploy AI and data science solutions across multiple client engagements, leveraging Generative AI, RAG, and semantic search. Collaborate with data engineers, architects, and stakeholders to operationalize AI solutions…
What they ask for: Strong proficiency in Python and modern data science libraries (Pandas, NumPy, scikit-learn, PyTorch, TensorFlow) and hands-on experience delivering AI/ML in enterprise environments. Experience with Generative AI technologies, LLMs, and…
What you'll do: Design, develop, and deploy scalable, production-ready Generative AI solutions using LLMs and modern AI technologies. Collaborate with cross-functional teams to translate business challenges into practical AI applications while…
What they ask for: Requires at least 4 years of experience in Data Science or AI engineering with strong Python programming skills. Candidates must have hands-on experience with LLMs, cloud platforms, and the full AI development lifecycle.
What you'll do: Own the UK SanTalk product vision, roadmap, delivery, rollout, and ongoing improvement for customer-facing AI across contact centres, chat, and digitally assisted channels. Lead multidisciplinary teams and collaborate with UK and Group…
What they ask for: Requires 6–8 years of experience in data science, applied AI, or advanced analytics, including leading complex AI solutions from concept to production, and an undergraduate degree in a relevant field or equivalent experience. Candidates…
What you'll do: Own and evolve the AI platform, gateway, and agentic capabilities, enabling product teams to build and ship AI features with minimal engineering effort. Prioritize platform work across teams, turn model capabilities into reusable products…
What they ask for: Requires 10+ years of product management experience, a track record of successful product launches, and experience building platform, infrastructure, or developer-facing products. Candidates should have shipped agentic or model-backed…
What you'll do: You will manage the end-to-end lifecycle of data science services, from conceptualization to production, while ensuring high performance and reliability. You will also collaborate with cross-functional teams to develop innovative ML and…
What they ask for: You must have extensive experience with the data science toolbox, including Python, SQL, and cloud infrastructure like GCP, Kubernetes, and Kafka. Additionally, you should possess specific expertise in either ML classifiers, NLP, AdTech…
What you'll do: You will design and maintain cross-game data marts and AI-powered workflows to support player experience and game growth. Additionally, you will collaborate with analytics teams to build scalable data tools and educate analysts on software…
What they ask for: Candidates must hold a bachelor degree in a quantitative field and possess advanced skills in SQL and Python. Experience in building production-level data pipelines and familiarity with AI/ML workflows is required.
What you'll do: You will design and maintain cross-game data marts and AI-powered pipelines to support player experience and game growth. Additionally, you will collaborate with analysts to optimize SQL queries and develop scalable data tools.
What they ask for: Candidates must hold a bachelor degree in a quantitative field and possess advanced skills in SQL and Python. Experience with production-level data pipelines and familiarity with generative AI tools are also required.
What you'll do: You will design and maintain cross-game data marts and AI-powered pipelines to support analytics and game growth. Additionally, you will collaborate with game teams to build reusable data tools and educate analysts on software engineering…
What they ask for: Candidates must hold a bachelor degree in a quantitative field and possess advanced skills in SQL and Python. Experience with production-level data pipelines using tools like Airflow and Docker is required, along with a collaborative…
What you'll do: The Senior Data Scientist will act as the UK Product Owner for SanTalk, setting the product vision, strategy, and roadmap for AI solutions across contact centers and digital channels. They will lead multidisciplinary teams to deliver, roll…
What they ask for: Candidates must have 6-8 years of experience in data science or applied AI, with a proven track record of leading complex AI solutions from concept to production. An undergraduate degree in a relevant field such as Computer Science, Data…
What you'll do: Design, develop, and deploy scalable AI applications and services using Python and Microsoft Azure. Collaborate with cross-functional teams to integrate AI/ML and LLM-powered solutions into enterprise environments.
What they ask for: Requires 5+ years of professional experience in software or AI engineering with strong Python programming skills. Candidates must have hands-on experience with Microsoft Azure, cloud-native development, and Generative AI technologies.
What you'll do: You will develop and optimize AI-based financial crime detection systems using supervised and unsupervised learning to mitigate global money laundering risks. Additionally, you will collaborate with cross-functional teams to deploy…
What they ask for: The role requires strong Python programming skills and proven experience in implementing, training, and evaluating machine learning systems. Candidates should possess a strong product mindset, excellent problem-solving abilities, and the…
What you'll do: Provide technical leadership for data science within the Claims department, focusing on fraud detection and risk decisioning. Design and deploy production-grade machine learning and Generative AI systems to automate and improve the claims…
What they ask for: Requires significant commercial experience in end-to-end machine learning and hands-on experience shipping Generative AI systems in production. Candidates must possess a strong statistical foundation and the ability to influence technical…
What you'll do: Provide technical leadership for data science in claims and fraud, focusing on scaling decisioning and automating the claims journey. Design and deploy production-grade machine learning and generative AI systems while collaborating with…
What they ask for: Requires significant commercial experience in end-to-end machine learning and hands-on experience shipping generative AI systems in production. Candidates must possess a strong statistical foundation and proven ability to influence…
What you'll do: You will lead the development and deployment of AI models and LLM-based systems to automate financial crime mitigation and operational workflows. Additionally, you will establish technical strategy, mentor team members, and design robust…
What they ask for: The role requires extensive experience in implementing, training, and evaluating machine learning systems, with strong proficiency in Python. Candidates should also possess deep knowledge of GenAI/LLM solutions and the ability to work…
What you'll do: Lead and develop a team of AI engineers to build and deploy generative AI marketing solutions while ensuring robust code quality and delivery. Collaborate with marketing stakeholders to translate business needs into technical…
What they ask for: Requires a bachelor's degree in a technical field and at least 5 years of backend development experience, including 2 years specifically with LLMs or generative AI. Candidates must demonstrate strong leadership skills and proficiency in…
What you'll do: You will lead the end-to-end lifecycle of AI and Machine Learning initiatives to drive business impact across various banking operations. Additionally, you will act as a bridge between technical data science teams and business stakeholders…
What they ask for: Candidates must have at least 2 years of experience as a Product Manager in a technology-driven environment with a track record of shipping AI-powered products. Strong technical literacy in AI fundamentals and the ability to manage complex…
What you'll do: You will lead the end-to-end lifecycle of AI and Machine Learning initiatives, bridging the gap between technical data science teams and business stakeholders. Additionally, you will drive the development of scalable AI solutions to…
What they ask for: Candidates must have at least 2 years of experience as a Product Manager in a technology-driven environment with a track record of shipping AI-powered products. Strong technical literacy in AI fundamentals and the ability to manage complex…
What you'll do: The Senior Product Security Engineer will lead the product security strategy and mentor engineering teams to integrate secure practices into the development lifecycle. This role involves safeguarding sensitive data, performing threat…
What they ask for: Candidates must have extensive experience in software engineering, threat modeling, and security testing, particularly with Python or Go. A deep understanding of cloud, web, and mobile security, along with expertise in AI-specific security…
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