AI/ML Generative AI: Demonstratable experience of RAG, including chunking strategies, vectorising and indexing data, retrieval strategies and reranking, prompting strategies, function calling. Our current tech-stack is OpenAI, LangChain, Azure AI, Python, pg_vector, Sinequa. Experience of multi-agent systems (LangGraph, Autogen, CrewAI etc.) would be a plus, as would experience of multimodal LLMs (like GPT4 Omni, Qwen More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Understanding Recruitment
Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. Skilled in Python, React, Typescript, Kubernetes, Azure, and OpenAI technologies. A natural problem-solver with a talent for leading, motivating, and inspiring teams. Excellent communication skills and ability to bridge technical and non-technical stakeholders effectively. Brings a startup More ❯
Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. Skilled in Python, React, Typescript, Kubernetes, Azure, and OpenAI technologies. A natural problem-solver with a talent for leading, motivating, and inspiring teams. Excellent communication skills and ability to bridge technical and non-technical stakeholders effectively. Brings a startup 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 ❯
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 ❯
can do with digital data and technology; building innovative models on top of the latest open source tools, as well as making use of cutting edge AI APIs from OpenAI, Google, Microsoft and AWS. You'll regularly share your knowledge of the rapidly changing and exciting world of AI to ensure Curve benefits from your ongoing research. Additionally, you'll More ❯
Job Title: Generative AI Architect – Professional Services Job Description: We are seeking a strategic and highly skilled Generative AI Architect to lead the design and implementation of advanced AI solutions tailored for professional services. This role requires expertise in AI More ❯
Job Title: Generative AI Architect – Professional Services Job Description: We are seeking a strategic and highly skilled Generative AI Architect to lead the design and implementation of advanced AI solutions tailored for professional services. This role requires expertise in AI More ❯
Job Title: Generative AI Architect – Professional Services Job Description: We are seeking a strategic and highly skilled Generative AI Architect to lead the design and implementation of advanced AI solutions tailored for professional services. This role requires expertise in AI More ❯
AI adoption, and the ability to bridge the gap between business needs and AI solutions. Responsibilities: Design, develop, and implement AI solutions using Microsoft AI technologies such as Azure OpenAI, LLMs & SLMs, Azure Machine Learning, Cognitive Services, and Azure AI Document Intelligence, with additional experience in Fabric, PowerBI, DataBricks, and LangChain. Work closely with clients to understand their architecture and … into enterprise solutions. About the candidate: 5+ years of experience in AI, Machine Learning, GenAI, or Data Science, with expertise in Microsoft AI technologies. Hands-on experience with Azure OpenAI, LLMs, Azure ML, Cognitive Services, Synapse, Fabric, and Power Platform AI capabilities. Strong programming skills in Python, C#, or other relevant languages for AI model development. Experience deploying AI solutions More ❯
every property transaction in the world We iterate rapidly to build products that utilise the bleeding-edge AI models. Products that are powered by the latest frontier models including OpenAI's GPT-4.1, o3 and o4-mini along with others from Anthropic and Google Gemini. This places us at the forefront of THE most advanced technological advancements of our generation … this product and developing new offerings to add even more value to our users. At Orbital, we leverage the most intelligent, bleeding edge models from leading AI labs like OpenAI, Google, Gemini and Anthropic. This is an exciting opportunity for someone who is passionate about LLMs, AI agents, and agentic architecture, and who wants to work at the forefront of … verbal and written communication skills in English. You have proven experience delivering large, complex software engineering systems. It would also be nice if you have: Prior experience with LLMs (OpenAI's GPT-4o, o1, and Claude models from Anthropic) or agentic systems. Prior experience with data science/ML/NLP. Any Frontend experience. Proven expertise in building highly secure More ❯
GenAI Platform Engineer with: Proven years of experience working with an object-oriented programming language (Python, Go, etc.) Experience with GenAI technologies like MCP, A2A, Langgraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as data structures and algorithms More ❯
Intelligence/Machine Learning Reports To: Head of Engineering/CTO About Us Ready to join a cutting edge AI company? We’re on a mission to become the OpenAI of the spicy content industry, building a full-spectrum ecosystem of revolutionary AI infrastructure and products. Our platform, OhChat, features digital twins of real-world personalities and original AI characters More ❯
GenAI Platform Engineer with: Proven years of experience working with an object-oriented programming language (Python, Go, etc.) Experience with GenAI technologies like MCP, A2A, Langgraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as data structures and algorithms More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation™
deep learning, or AI systems. Familiarity with key libraries and frameworks such as TensorFlow, Scikit-learn, PyTorch, Transformers, LangChain, BeautifulSoup, and OpenCV. Experience with AI APIs and platforms (e.g., OpenAI, Bedrock, Gemini, Anthropic). Knowledge of cloud infrastructure (ideally AWS), Kubernetes, and relevant SDKs (e.g., boto3, confluent-kafka). Experience deploying ML models in production using REST APIs, microservices, and More ❯
City of London, London, United Kingdom Hybrid / WFH Options
SR2 | Socially Responsible Recruitment | Certified B Corporation™
deep learning, or AI systems. Familiarity with key libraries and frameworks such as TensorFlow, Scikit-learn, PyTorch, Transformers, LangChain, BeautifulSoup, and OpenCV. Experience with AI APIs and platforms (e.g., OpenAI, Bedrock, Gemini, Anthropic). Knowledge of cloud infrastructure (ideally AWS), Kubernetes, and relevant SDKs (e.g., boto3, confluent-kafka). Experience deploying ML models in production using REST APIs, microservices, and More ❯
multiple agents with specific tasks/goals in a collaborative, dynamic environment. Familiarity with tools and frameworks that enable LLM-based integrations such as LangChain , Semantic Kernel , or Azure OpenAI . Appreciation for ethical AI considerations including data privacy , security , and bias mitigation . Eagerness to explore emerging technologies and collaborate with AI/ML teams to bring intelligence into More ❯
multiple agents with specific tasks/goals in a collaborative, dynamic environment. Familiarity with tools and frameworks that enable LLM-based integrations such as LangChain , Semantic Kernel , or Azure OpenAI . Appreciation for ethical AI considerations including data privacy , security , and bias mitigation . Eagerness to explore emerging technologies and collaborate with AI/ML teams to bring intelligence into More ❯
multiple agents with specific tasks/goals in a collaborative, dynamic environment. Familiarity with tools and frameworks that enable LLM-based integrations such as LangChain , Semantic Kernel , or Azure OpenAI . Appreciation for ethical AI considerations including data privacy , security , and bias mitigation . Eagerness to explore emerging technologies and collaborate with AI/ML teams to bring intelligence into More ❯
systems-ensuring functionality is transitioned without disruption. GenAI Drive the end-to-end engineering of generative-AI solutions-designing, building and operationalising pipelines that harness Claude (via Databricks), Azure OpenAI Service and ChatGPT-while enforcing robust security, governance and monitoring to deliver scalable, business-value-driven outcomes. Integration Deliver integration of internal systems and external vendor technology including BlackRock eFront More ❯
systems-ensuring functionality is transitioned without disruption. GenAI Drive the end-to-end engineering of generative-AI solutions-designing, building and operationalising pipelines that harness Claude (via Databricks), Azure OpenAI Service and ChatGPT-while enforcing robust security, governance and monitoring to deliver scalable, business-value-driven outcomes. Integration Deliver integration of internal systems and external vendor technology including BlackRock eFront More ❯
Platform : Build advanced AML/CTF transaction monitoring modules using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a multi-agent system. Drive Deployment and ML Operations: Collaborate with DevOps … preferably Azure). Experience with ML frameworks such as TensorFlow or PyTorch. Understanding of ML lifecycles, including model training, validation, testing, and deployment. Exposure to tools such as LangChain, OpenAI, Alembic, and orchestration with Poetry and Mypy is a plus. It’s A Bonus If You Have: Experience working with Generative AI, multi-agent systems, or compliance/regulatory tech. More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
Platform : Build advanced AML/CTF transaction monitoring modules using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a multi-agent system. Drive Deployment and ML Operations: Collaborate with DevOps … preferably Azure). Experience with ML frameworks such as TensorFlow or PyTorch. Understanding of ML lifecycles, including model training, validation, testing, and deployment. Exposure to tools such as LangChain, OpenAI, Alembic, and orchestration with Poetry and Mypy is a plus. It’s A Bonus If You Have: Experience working with Generative AI, multi-agent systems, or compliance/regulatory tech. More ❯
MLOps practices; the road is unpaved and you have free rein (with the CTO as sparring partner and advisor). Steer buy vs build calls -Evaluate third party APIs (OpenAI, Anthropic, Hugging Face, etc.) versus in house models; drive clear recommendations on cost, performance, and time to value. Drive commercial impact -Measure and iterate on ML powered adoption, upsell ARR … DB), Redis (ElastiCache), MongoDB (AWS DocumentDB). Cloud & DevOps: AWS (20+ services), Kubernetes (EKS), Docker, Infrastructure as Code (CloudFormation, Terraform), CI/CD (Jenkins, GitHub Actions), Observability (AWS, Grafana), OpenAI in Azure. Development tools: GitHub, Jira, Notion, ChatGPT, Gemini, LangChain, AI-native IDE's (Cursor, JetBrains), LLM-powered internal tools. Test automation: Cypress (E2E), Postman (API), Jest (frontend unit), PHPUnit More ❯
data science solutions using digital consumer data Develop models and tools using Python, NLP, and machine learning frameworks Explore and integrate state-of-the-art AI from providers like OpenAI, Google, Microsoft, and AWS Conduct research on emerging AI/NLP trends and share knowledge with the wider team Work on a mix of proof-of-concept and full-scale More ❯
