lake architectures, data integration, and data governance, and at least 2 years of experience with cloud-based AI/ML technologies (such as tools from AWS, Azure, Google, HuggingFace, OpenAI and Databricks) building ML or applied AI solutions. A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's Fundamental knowledge of ML, and basic More ❯
A degree in Computer Science, Engineering, Data Science, HCI, AI, similar field of study or equivalent work experience Experience with GenAI technologies like MCP, A2A, LangGraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs Applied experience with AI, Machine Learning, familiarity with large language models and their operational requirements Experience with Distributed Systems, Kubernetes, container orchestration, cloud computing platforms, experience with More ❯
vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g., AWS Bedrock, S3, SageMaker; Azure AI Search, OpenAI, blob storage, etc. Bachelors degree (masters or higher strongly preferred) in machine learning, computer science, data science, applied mathematics or related technical field What Would Make You Stand Out: Experience More ❯
A degree in Computer Science, Engineering, Data Science, HCI, AI, similar field of study or equivalent work experience Experience with GenAI technologies like MCP, A2A, LangGraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs Applied experience with AI, Machine Learning, familiarity with large language models and their operational requirements Experience with Distributed Systems, Kubernetes, container orchestration, cloud computing platforms, experience with More ❯
Java). Demonstrated experience deploying and maintaining LLMs (e.g., GPT's, Llama) in production environments. Familiarity with frameworks and tooling for LLMs and generative AI (e.g., Transformers, LangChain, Haystack, OpenAI, Vertex AI). Experience operationalizing ML solutions in cloud-native environments (AWS, GCP, Azure). Proficiency with containerization and orchestration (Docker, Kubernetes or similar) for scalable model deployment. Practical experience More ❯
Data Analytics and Data Scientists to translate exploratory analysis and models into production-ready AI/ML solutions Experience leveraging and fine-tuning third-party or foundational models (e.g. OpenAI, Anthropic, Hugging Face) alongside in-house proprietary models Contributions to open-source AI/ML projects or AI/ML community engagement Experience in R&D environments or innovation labs More ❯
AI and machine learning frameworks (GANs, VAEs, transformer-based architectures, LLMs). Programming experience with Python, PySpark, microservices, and data modeling. Proficient in LLM orchestration on platforms such as OpenAI on Azure, AWS Bedrock, GCP Vertex AI, or Gemini AI. Architecture & Deployment: Designing, deploying, and scaling AI architectures aligned to enterprise standards. Proven experience in MLOps and AI lifecycle management More ❯
Haywards Heath, Sussex, United Kingdom Hybrid / WFH Options
First Central Services
JAMF, DEX tools). You'll drive the adoption of AI-based automation and telemetry ingestion for continuous service improvement. You'll embed Gen-AI technologies (e.g., Microsoft Copilot, OpenAI APIs) into workspace tools and processes to enhance digital workflows and employee interactions. You'll use AI/ML techniques to build predictive maintenance models for device and application health. More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
First Central Services
JAMF, DEX tools). You'll drive the adoption of AI-based automation and telemetry ingestion for continuous service improvement. You'll embed Gen-AI technologies (e.g., Microsoft Copilot, OpenAI APIs) into workspace tools and processes to enhance digital workflows and employee interactions. You'll use AI/ML techniques to build predictive maintenance models for device and application health. More ❯
Docker CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) Front End frameworks (React, Vue, ASP.NET) API design (REST, JSON, XML) Database experience: SQL, NoSQL, vector databases AI integration: OpenAI, Gemini, and other LLMs Strong knowledge of agile, lean, and DevOps best practices.A collaborative, commercial, and solutions-oriented mindset - someone who thrives in a high-trust, cross-functional environment.Previous experience More ❯
Docker CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) Front End frameworks (React, Vue, ASP.NET) API design (REST, JSON, XML) Database experience: SQL, NoSQL, vector databases AI integration: OpenAI, Gemini, and other LLMs Strong knowledge of agile, lean, and DevOps best practices.A collaborative, commercial, and solutions-oriented mindset - someone who thrives in a high-trust, cross-functional environment.Previous experience More ❯
security and compliance. What Youll Do: Develop and deploy machine learning models for anti-money laundering and counter-terrorist financing. Contribute to dynamic monitoring systems using tools like TensorFlow, OpenAI, and LangChain. Help design GenAI pipelines and consensus mechanisms across a distributed agent system. Work alongside DevOps to build scalable, automated ML deployment pipelines. Write clean, well-documented code using More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
ClearCourse
automation initiatives in a digital or tech-driven organisation Strong knowledge of GenAI, NLP, LLMs, RPA, and their business applications Hands-on experience with AI platforms and tools (e.g. OpenAI, Azure ML, Vertex AI, UiPath) Excellent stakeholder engagement and communication skills Analytical and commercially focused mindset—able to identify and quantify impact Desirable: Technical background in data science, engineering, or More ❯
automation initiatives in a digital or tech-driven organisation Strong knowledge of GenAI, NLP, LLMs, RPA, and their business applications Hands-on experience with AI platforms and tools (e.g. OpenAI, Azure ML, Vertex AI, UiPath) Excellent stakeholder engagement and communication skills Analytical and commercially focused mindset-able to identify and quantify impact Technical background in data science, engineering, or computer More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
QinetiQ Limited
Cyber Essentials, NIST, or similar frameworks) Understanding of cloud cost optimisation and FinOps practices Familiarity with supporting data/AI pipelines or platform integrations (e.g., Azure Data Factory, Databricks, OpenAI) Exposure to other cloud environments (AWS, Google Cloud) Behaviours Proactive problem-solver who balances pragmatism with long-term maintainability Comfortable owning delivery, making trade-offs, and asking the "so what More ❯
About the Team Security is at the foundation of OpenAI's mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI's technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our … tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role As a Security Engineer you will join our OpenAI engineers and researchers in building, operating and securing transformational AI technologies. This role will focus on all aspects of Detection & Response, including infrastructure and operations, and will also contribute to … all major security verticals including: AppSec, InfraSec, OffSec and Detection and Response Innovate to solve novel security problems Collaborate on cutting-edge AI research, and use AI to improve OpenAI's Security posture This role is based in London, UK. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new More ❯
Newcastle Upon Tyne, Tyne and Wear, England, United Kingdom Hybrid / WFH Options
Catalyst
language models (LLMs), and techniques such as retrieval-augmented generation (RAG) and agent-based approaches, supported by frameworks like LangChain and CrewAI Skills in leveraging AI model APIs (e.g. OpenAI, Anthropic) and rapid prototyping tools such as Streamlit, along with AI-native developer tools like Cursor, to bring ideas to life quickly Degree in Computer Science, Data Science or similar More ❯
influence the product roadmap What we look for: Experience building Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI Extensive hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, scikit-learn, and TensorFlow/PyTorch Experience building production-grade machine learning deployments More ❯
influence the product roadmap What we look for: Experience building Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI Extensive hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, scikit-learn, and TensorFlow/PyTorch Experience building production-grade machine learning deployments More ❯
Delivery Manager, and stakeholders to analyse requirements and deliver comprehensive business solutions. You have: Strong understanding of Azure AI services and Azure cloud services in general. In particular, Azure OpenAI, Azure Machine Learning Studio, Function Apps, and Storage Accounts. In-depth experience in AI application development. You have previously planned and developed end-to-end solutions. Proficiency in C#, .NET More ❯
Delivery Manager, and stakeholders to analyse requirements and deliver comprehensive business solutions. You have: Strong understanding of Azure AI services and Azure cloud services in general. In particular, Azure OpenAI, Azure Machine Learning Studio, Function Apps, and Storage Accounts. In-depth experience in AI application development. You have previously planned and developed end-to-end solutions. Proficiency in C#, .NET More ❯
