1 to 25 of 126 Permanent Prompt Engineering Jobs in London

Job Title: Prompt Engineer/AI Engineer Location: London About GIMO: Global Interactive Marketing Online (GIMO) Global Interactive Marketing Online (GIMO) is a London-based leading independent marketing agency and software developer within the iGaming industry. GIMO works in close partnership with leading global gaming brands such as NetBet, 777, and betFIRST. About Netbet Brand: Since 2006, NetBet has … line with the rules and regulations of each jurisdiction and that players receive the best possible service. Role Overview: We are seeking an innovative and detail-oriented mid-level Prompt Engineer & AI Engineer to enhance our AI-driven applications. This role is crucial for designing, testing, and refining the prompts that power our large language models (LLMs) and for … Design, build, test, and refine high-quality prompts to steer LLMs toward desired outputs and behaviors for key business applications. Conduct thorough analysis of model responses and perform iterative prompt engineering to improve accuracy, tone, and overall performance. Develop, test, and maintain Python scripts and applications, particularly within collaborative platforms like Replit, to support AI systems and streamline More ❯

Job Title: Prompt Engineer/AI Engineer Location: London About GIMO: Global Interactive Marketing Online (GIMO) Global Interactive Marketing Online (GIMO) is a London-based leading independent marketing agency and software developer within the iGaming industry. GIMO works in close partnership with leading global gaming brands such as NetBet, 777, and betFIRST. About Netbet Brand: Since 2006, NetBet has … line with the rules and regulations of each jurisdiction and that players receive the best possible service. Role Overview: We are seeking an innovative and detail-oriented mid-level Prompt Engineer & AI Engineer to enhance our AI-driven applications. This role is crucial for designing, testing, and refining the prompts that power our large language models (LLMs) and for … Design, build, test, and refine high-quality prompts to steer LLMs toward desired outputs and behaviors for key business applications. Conduct thorough analysis of model responses and perform iterative prompt engineering to improve accuracy, tone, and overall performance. Develop, test, and maintain Python scripts and applications, particularly within collaborative platforms like Replit, to support AI systems and streamline More ❯

Job Title: Prompt Engineer/AI Engineer Location: London About GIMO: Global Interactive Marketing Online (GIMO) Global Interactive Marketing Online (GIMO) is a London-based leading independent marketing agency and software developer within the iGaming industry. GIMO works in close partnership with leading global gaming brands such as NetBet, 777, and betFIRST. About Netbet Brand: Since 2006, NetBet has … line with the rules and regulations of each jurisdiction and that players receive the best possible service. Role Overview: We are seeking an innovative and detail-oriented mid-level Prompt Engineer & AI Engineer to enhance our AI-driven applications. This role is crucial for designing, testing, and refining the prompts that power our large language models (LLMs) and for … Design, build, test, and refine high-quality prompts to steer LLMs toward desired outputs and behaviors for key business applications. Conduct thorough analysis of model responses and perform iterative prompt engineering to improve accuracy, tone, and overall performance. Develop, test, and maintain Python scripts and applications, particularly within collaborative platforms like Replit, to support AI systems and streamline More ❯

Job Title: Prompt Engineer/AI Engineer Location: London About GIMO: Global Interactive Marketing Online (GIMO) Global Interactive Marketing Online (GIMO) is a London-based leading independent marketing agency and software developer within the iGaming industry. GIMO works in close partnership with leading global gaming brands such as NetBet, 777, and betFIRST. About Netbet Brand: Since 2006, NetBet has … line with the rules and regulations of each jurisdiction and that players receive the best possible service. Role Overview: We are seeking an innovative and detail-oriented mid-level Prompt Engineer & AI Engineer to enhance our AI-driven applications. This role is crucial for designing, testing, and refining the prompts that power our large language models (LLMs) and for … Design, build, test, and refine high-quality prompts to steer LLMs toward desired outputs and behaviors for key business applications. Conduct thorough analysis of model responses and perform iterative prompt engineering to improve accuracy, tone, and overall performance. Develop, test, and maintain Python scripts and applications, particularly within collaborative platforms like Replit, to support AI systems and streamline More ❯

that automate processes, improve speed, and enhance decision-making. Role Responsibilities As a Senior AI Applied Engineer, you will: Build & Deploy AI-Driven Software Solutions You'll blend software engineering and AI expertise to develop scalable, production-grade systems leveraging generative AI and agentic automation. Own Project-Based Work Across Diverse Domains You'll tackle varied engagements, ranging in … teams, translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities. Leverage Generative AI Expertise Utilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery. Who We're Looking For Essential Qualifications & Experience Strong software engineering background … with deep experience deploying scalable systems At least some commercial experience using Generative AI exposure (e.g., LLMs, agentic interfaces, prompt engineering) but primarily strong engineering fluency Comfortable with project-based, delivery-focused work, even if no prior consultancy experience Confident in client-facing situations and able to collaborate effectively with non-technical stakeholders Reliable, consistent work history More ❯

that automate processes, improve speed, and enhance decision-making. Role Responsibilities As a Senior AI Applied Engineer, you will: Build & Deploy AI-Driven Software Solutions You'll blend software engineering and AI expertise to develop scalable, production-grade systems leveraging generative AI and agentic automation. Own Project-Based Work Across Diverse Domains You'll tackle varied engagements, ranging in … teams, translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities. Leverage Generative AI Expertise Utilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery. Who We're Looking For Essential Qualifications & Experience Strong software engineering background … with deep experience deploying scalable systems At least some commercial experience using Generative AI exposure (e.g., LLMs, agentic interfaces, prompt engineering) but primarily strong engineering fluency Comfortable with project-based, delivery-focused work, even if no prior consultancy experience Confident in client-facing situations and able to collaborate effectively with non-technical stakeholders Reliable, consistent work history More ❯

that automate processes, improve speed, and enhance decision-making. Role Responsibilities As a Senior AI Applied Engineer, you will: Build & Deploy AI-Driven Software Solutions You'll blend software engineering and AI expertise to develop scalable, production-grade systems leveraging generative AI and agentic automation. Own Project-Based Work Across Diverse Domains You'll tackle varied engagements, ranging in … teams, translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities. Leverage Generative AI Expertise Utilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery. Who We're Looking For Essential Qualifications & Experience Strong software engineering background … with deep experience deploying scalable systems At least some commercial experience using Generative AI exposure (e.g., LLMs, agentic interfaces, prompt engineering) but primarily strong engineering fluency Comfortable with project-based, delivery-focused work, even if no prior consultancy experience Confident in client-facing situations and able to collaborate effectively with non-technical stakeholders Reliable, consistent work history More ❯

automate processes, improve speed, and enhance decision-making. Role Responsibilities As a Senior AI/ML Engineer, you will: Build & Deploy AI-Driven Software Solutions You'll blend software engineering and AI expertise to develop scalable, production-grade systems leveraging generative AI and agentic automation. Own Project-Based Work Across Diverse Domains You'll tackle varied engagements, ranging in … teams, translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities. Leverage Generative AI Expertise Utilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery. Who We're Looking For Essential Qualifications & Experience Strong software engineering background … with deep experience deploying scalable systems At least some commercial experience using Generative AI exposure (e.g., LLMs, agentic interfaces, prompt engineering) but primarily strong engineering fluency Comfortable with project-based, delivery-focused work, even if no prior consultancy experience Confident in client-facing situations and able to collaborate effectively with non-technical stakeholders Reliable, consistent work history More ❯

that automate processes, improve speed, and enhance decision-making. Role Responsibilities As a Senior AI Applied Engineer, you will: Build & Deploy AI-Driven Software Solutions You'll blend software engineering and AI expertise to develop scalable, production-grade systems leveraging generative AI and agentic automation. Own Project-Based Work Across Diverse Domains You'll tackle varied engagements, ranging in … teams, translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities. Leverage Generative AI Expertise Utilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery. Who We're Looking For Essential Qualifications & Experience Strong software engineering background … with deep experience deploying scalable systems At least some commercial experience using Generative AI exposure (e.g., LLMs, agentic interfaces, prompt engineering) but primarily strong engineering fluency Comfortable with project-based, delivery-focused work, even if no prior consultancy experience Confident in client-facing situations and able to collaborate effectively with non-technical stakeholders Reliable, consistent work history More ❯

automate processes, improve speed, and enhance decision-making. Role Responsibilities As a Senior AI/ML Engineer, you will: Build & Deploy AI-Driven Software Solutions You'll blend software engineering and AI expertise to develop scalable, production-grade systems leveraging generative AI and agentic automation. Own Project-Based Work Across Diverse Domains You'll tackle varied engagements, ranging in … teams, translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities. Leverage Generative AI Expertise Utilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery. Who We're Looking For Essential Qualifications & Experience Strong software engineering background … with deep experience deploying scalable systems At least some commercial experience using Generative AI exposure (e.g., LLMs, agentic interfaces, prompt engineering) but primarily strong engineering fluency Comfortable with project-based, delivery-focused work, even if no prior consultancy experience Confident in client-facing situations and able to collaborate effectively with non-technical stakeholders Reliable, consistent work history More ❯

automate processes, improve speed, and enhance decision-making. Role Responsibilities As a Senior AI/ML Engineer, you will: Build & Deploy AI-Driven Software Solutions You'll blend software engineering and AI expertise to develop scalable, production-grade systems leveraging generative AI and agentic automation. Own Project-Based Work Across Diverse Domains You'll tackle varied engagements, ranging in … teams, translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities. Leverage Generative AI Expertise Utilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery. Who We're Looking For Essential Qualifications & Experience Strong software engineering background … with deep experience deploying scalable systems At least some commercial experience using Generative AI exposure (e.g., LLMs, agentic interfaces, prompt engineering) but primarily strong engineering fluency Comfortable with project-based, delivery-focused work, even if no prior consultancy experience Confident in client-facing situations and able to collaborate effectively with non-technical stakeholders Reliable, consistent work history More ❯

that automate processes, improve speed, and enhance decision-making. Role Responsibilities As a Senior AI Applied Engineer, you will: Build & Deploy AI-Driven Software Solutions You’ll blend software engineering and AI expertise to develop scalable, production-grade systems leveraging generative AI and agentic automation. Own Project-Based Work Across Diverse Domains You’ll tackle varied engagements, ranging in … teams, translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities. Leverage Generative AI Expertise Utilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery. Who We're Looking For Essential Qualifications & Experience Strong software engineering background … with deep experience deploying scalable systems At least some commercial experience using Generative AI exposure (e.g., LLMs, agentic interfaces, prompt engineering) but primarily strong engineering fluency Comfortable with project-based, delivery-focused work, even if no prior consultancy experience Confident in client-facing situations and able to collaborate effectively with non-technical stakeholders Reliable, consistent work history More ❯

that automate processes, improve speed, and enhance decision-making. Role Responsibilities As a Senior AI Applied Engineer, you will: Build & Deploy AI-Driven Software Solutions You’ll blend software engineering and AI expertise to develop scalable, production-grade systems leveraging generative AI and agentic automation. Own Project-Based Work Across Diverse Domains You’ll tackle varied engagements, ranging in … teams, translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities. Leverage Generative AI Expertise Utilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery. Who We're Looking For Essential Qualifications & Experience Strong software engineering background … with deep experience deploying scalable systems At least some commercial experience using Generative AI exposure (e.g., LLMs, agentic interfaces, prompt engineering) but primarily strong engineering fluency Comfortable with project-based, delivery-focused work, even if no prior consultancy experience Confident in client-facing situations and able to collaborate effectively with non-technical stakeholders Reliable, consistent work history More ❯

that automate processes, improve speed, and enhance decision-making. Role Responsibilities As a Senior AI Applied Engineer, you will: Build & Deploy AI-Driven Software Solutions You’ll blend software engineering and AI expertise to develop scalable, production-grade systems leveraging generative AI and agentic automation. Own Project-Based Work Across Diverse Domains You’ll tackle varied engagements, ranging in … teams, translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities. Leverage Generative AI Expertise Utilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery. Who We're Looking For Essential Qualifications & Experience Strong software engineering background … with deep experience deploying scalable systems At least some commercial experience using Generative AI exposure (e.g., LLMs, agentic interfaces, prompt engineering) but primarily strong engineering fluency Comfortable with project-based, delivery-focused work, even if no prior consultancy experience Confident in client-facing situations and able to collaborate effectively with non-technical stakeholders Reliable, consistent work history More ❯

that automate processes, improve speed, and enhance decision-making. Role Responsibilities As a Senior AI Applied Engineer, you will: Build & Deploy AI-Driven Software Solutions You’ll blend software engineering and AI expertise to develop scalable, production-grade systems leveraging generative AI and agentic automation. Own Project-Based Work Across Diverse Domains You’ll tackle varied engagements, ranging in … teams, translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities. Leverage Generative AI Expertise Utilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery. Who We're Looking For Essential Qualifications & Experience Strong software engineering background … with deep experience deploying scalable systems At least some commercial experience using Generative AI exposure (e.g., LLMs, agentic interfaces, prompt engineering) but primarily strong engineering fluency Comfortable with project-based, delivery-focused work, even if no prior consultancy experience Confident in client-facing situations and able to collaborate effectively with non-technical stakeholders Reliable, consistent work history More ❯

LLMs, retrieval-augmented architectures, embedding pipelines, agents) from prototype to production. Lead the full ML lifecycle: data extraction, modelling, fine-tuning, training, inference, deployment, and monitoring. Collaborate with product, engineering, and data teams to translate business needs into working AI solutions. Establish standards for prompt engineering, model evaluation, and responsible AI (governance, bias mitigation, safety). Optimise … models for scalability, latency, cost, and accuracy in live environments. Mentor engineers and raise the overall technical bar of the team. You Bring 5+ years of ML/AI engineering experience, including 3+ years deploying generative AI (LLMs, fine-tuning, RAG) in production. Strong technical grounding in Python, TensorFlow/PyTorch, transformer architectures (GPT, Llama, Mistral), vector databases, and … prompt engineering frameworks. Proven record of delivering measurable ROI from AI projects. Solid engineering fundamentals: version control, CI/CD for ML, observability, API integration, and cloud infrastructure (AWS/Azure/GCP). Confident communicator able to explain complex trade-offs to non-technical stakeholders. UK-based and available for two days per week in the More ❯

LLMs, retrieval-augmented architectures, embedding pipelines, agents) from prototype to production. Lead the full ML lifecycle: data extraction, modelling, fine-tuning, training, inference, deployment, and monitoring. Collaborate with product, engineering, and data teams to translate business needs into working AI solutions. Establish standards for prompt engineering, model evaluation, and responsible AI (governance, bias mitigation, safety). Optimise … models for scalability, latency, cost, and accuracy in live environments. Mentor engineers and raise the overall technical bar of the team. You Bring 5+ years of ML/AI engineering experience, including 3+ years deploying generative AI (LLMs, fine-tuning, RAG) in production. Strong technical grounding in Python, TensorFlow/PyTorch, transformer architectures (GPT, Llama, Mistral), vector databases, and … prompt engineering frameworks. Proven record of delivering measurable ROI from AI projects. Solid engineering fundamentals: version control, CI/CD for ML, observability, API integration, and cloud infrastructure (AWS/Azure/GCP). Confident communicator able to explain complex trade-offs to non-technical stakeholders. UK-based and available for two days per week in the More ❯

LLMs) for real-world applications. Develop and optimise pipelines for data collection, preprocessing, and model evaluation. Collaborate with product engineers to deploy models into scalable production systems. Experiment with prompt engineering, RAG architectures, and multimodal models. Contribute to internal tools for monitoring, testing, and improving AI performance. Stay on the edge of ML/AI research — we give … Natural Language Processing, Large Language Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud Computing, AWS, Azure, Google Cloud, AI Infrastructure, Transformers, Reinforcement Learning, Vector Databases, Pinecone, Weaviate, Semantic Search, API Development, AI Deployment, Model Serving, AI More ❯

LLM-based applications in secure, production-ready environments Integrate front-end components with AI models and back-end logic to deliver seamless, end-to-end functionality Perform data and prompt engineering to optimize model performance and outputs Optimize applications for performance, scalability, and security Collaborate cross-functionally with engineering, product, and AI teams to deliver high-impact … databases, including PostgreSQL, Redis, or MongoDB Solid understanding of containerised microservice infrastructure Working knowledge of Kubernetes, security best practices, and cloud platforms (AWS, GCP, or Azure) Desirable: Experience with prompt engineering, Retrieval-Augmented Generation (RAG), and graph databases Familiarity with multi-agent LLM systems and agentic platforms (e.g., AutoGen, CrewAI), and experience deploying LLM-based applications Experience with … LLM applications that deliver measurable business value Maintain low latency, high system uptime, and strong performance across APIs and AI services Drive fast, iterative collaboration across product, design, and engineering teams Continuously improve the platform through testing, research, and integration of modern AI and software practices Why Join Us? Join a mission-driven, high-growth AI startup shaping the More ❯

LLM-based applications in secure, production-ready environments Integrate front-end components with AI models and back-end logic to deliver seamless, end-to-end functionality Perform data and prompt engineering to optimize model performance and outputs Optimize applications for performance, scalability, and security Collaborate cross-functionally with engineering, product, and AI teams to deliver high-impact … databases, including PostgreSQL, Redis, or MongoDB Solid understanding of containerised microservice infrastructure Working knowledge of Kubernetes, security best practices, and cloud platforms (AWS, GCP, or Azure) Desirable: Experience with prompt engineering, Retrieval-Augmented Generation (RAG), and graph databases Familiarity with multi-agent LLM systems and agentic platforms (e.g., AutoGen, CrewAI), and experience deploying LLM-based applications Experience with … LLM applications that deliver measurable business value Maintain low latency, high system uptime, and strong performance across APIs and AI services Drive fast, iterative collaboration across product, design, and engineering teams Continuously improve the platform through testing, research, and integration of modern AI and software practices Why Join Us? Join a mission-driven, high-growth AI startup shaping the More ❯

Advantage are recruiting on behalf of our global energies client for an NLP/GenAI Data Scientist who can bring a strong understanding in modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies. They require candidates to offer strong knowledge of Python programming for developing and debugging AI models and would expect suitable candidates … to be educated to a Degree if not Masters level (computer science, electrical engineering, or a related technical subject) though you’ll still be considered without an MSc. Background Generative AI (GenAI) is seen as having the potential to revolutionise our client’s operations across all major lines of business. Applications may include conversational AI, intelligent information retrieval, AI … with stakeholders, project managers, and architects to gather requirements, plan project scopes, and deliver projects within agreed timelines. Candidate Requirements Experience and understanding of modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies. Strong knowledge of Python programming for developing and debugging AI models. Excellent communication skills and a collaborative mindset with the ability More ❯

cutting edge of artificial intelligence, large language models (LLMs), and cloud-native applications . This is an exciting opportunity for an engineer with solid experience in AI development, software engineering, or machine learning systems to work on projects that deliver real business impact across the banking and finance sector . You’ll collaborate with an international team of AI … robust, production-ready solutions Contributing to the evolution of internal frameworks and best practices for AI deployment What We’re Looking For 1–3 years of experience in AI engineering, data engineering, or software development Demonstrable experience delivering AI, LLM, or data-driven applications Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn) and/or TypeScript … Git, CI/CD) Excellent problem-solving skills and a proactive, collaborative mindset Full right to work in the UK (visa sponsorship not available) Nice to Have Experience with prompt engineering , fine-tuning , or AI agents Understanding of retrieval-augmented generation (RAG) systems and semantic search Exposure to enterprise AI security , multimodal AI , or reinforcement learning (RLHF) Benefits More ❯

cutting edge of artificial intelligence, large language models (LLMs), and cloud-native applications . This is an exciting opportunity for an engineer with solid experience in AI development, software engineering, or machine learning systems to work on projects that deliver real business impact across the banking and finance sector . You’ll collaborate with an international team of AI … robust, production-ready solutions Contributing to the evolution of internal frameworks and best practices for AI deployment What We’re Looking For 1–3 years of experience in AI engineering, data engineering, or software development Demonstrable experience delivering AI, LLM, or data-driven applications Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn) and/or TypeScript … Git, CI/CD) Excellent problem-solving skills and a proactive, collaborative mindset Full right to work in the UK (visa sponsorship not available) Nice to Have Experience with prompt engineering , fine-tuning , or AI agents Understanding of retrieval-augmented generation (RAG) systems and semantic search Exposure to enterprise AI security , multimodal AI , or reinforcement learning (RLHF) Benefits More ❯

Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: Chatbots Document Q&A systems Report generators Code assistants Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java … experience in Java or Node.js. Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral), Transformers, and Diffusion models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g. … MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. Nice-to-Have Skills Description: n/a Languages: English: C1 Advanced More ❯

Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: Chatbots Document Q&A systems Report generators Code assistants Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java … experience in Java or Node.js. Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral), Transformers, and Diffusion models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g. … MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. Nice-to-Have Skills Description: n/a Languages: English: C1 Advanced More ❯