ll Be Doing Designing secure, scalable APIs in Python/FastAPI Building and optimising Retrieval-Augmented Generation (RAG) pipelines Owning vector databases (pgvector, Weaviate, FAISS) and embedding strategies Integrating OpenAI/Bedrock models and developing guardrails & evaluation flows Ingesting and structuring data for high-performance retrieval and analytics Building clean, fast UIs with React/Next.js Shaping cloud architecture ( AWS More ❯
secure, scalable services powering AI features and data retrieval. RAG & Vector Search : Design and iterate retrieval pipelines using chunking, embeddings, hybrid search, and feedback loops. LLM Integration : Work with OpenAI/Bedrock models, orchestrate prompts/responses, and implement guardrails and evaluations. Data Engineering : Ingest and transform structured/unstructured data; design schemas for analytics and retrieval. Frontend (React/ More ❯
to-end ML lifecycle. - TECH STACK: Proficiency in Python (Pandas, NumPy, LangChain). Deep familiarity with the [Specific Vendor]’s [Cloud Environment] AI and Data Stack (Azure ML, Azure OpenAI, Databricks). - SPECIALIZATION: Expertise in Vector databases (FAISS, Pinecone, Azure AI Search), Prompt Engineering, and familiarity with products like [Specific Vendor Product 1]. THE CULTURE Our client seeks curious More ❯
on software development experience (Python preferred; additional exposure to JavaScript/TypeScript or Go beneficial). Strong background in AI systems, cloud-native architectures, and modern ML tooling (LangChain, OpenAI API, vector stores, RAG pipelines). Experience designing distributed, high-availability platforms deployed on AWS or similar cloud environments. Excellent communication and stakeholder management skills, with the ability to translate More ❯
of professional experience (for senior roles, 7+), ideally in IT support, product operations, or digital assistant environments. Familiarity with Generative AI, NLP, or LLM-based technologies (e.g., ChatGPT, Azure OpenAI). Strong written and verbal communication skills across technical and non-technical audiences. Experience improving support processes and documentation at scale. Analytical mindset and comfort with data-driven decision-making. More ❯
CyberSecurity, or a related field 3+ years of experience building enterprise software applications Strong programming skills in Python (or similar) and experience with AI/ML libraries (e.g., LangChain, OpenAI API, Hugging Face, PyTorch) Knowledge of application security principles and best practices Understanding of agent-based modeling, multi-agent systems, or reinforcement learning Experience building applications with LLMs or generative More ❯
City of London, London, United Kingdom Hybrid/Remote Options
MBN Solutions
transformation. Degree in Computer Science, AI, or related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud, OpenAI, Hugging Face, etc.) are a plus. Flexible/remote working options Private healthcare and life insurance Pension plan Cycle-to-work scheme 28 days paid annual leave (including company-wide More ❯
transformation. Degree in Computer Science, AI, or related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud, OpenAI, Hugging Face, etc.) are a plus. Flexible/remote working options Private healthcare and life insurance Pension plan Cycle-to-work scheme 28 days paid annual leave (including company-wide More ❯
Work With:Python primarily, with bits and pieces of typescript and scalaGCP, AWS, Azure - in this order of relevanceGitHub, Docker, GitHub Actions, Terraform, KubernetesPandas, PySpark and SparkVertex AI, Azure OpenAI for LLMs Job Responsibilities Lead the execution of projects in a high-performing data science team, fostering professional growth and creating an inclusive and collaborative environment Architect and design scalable More ❯
integrating them into production systems Practical knowledge of LangChain, LlamaIndex, and LangGraph for LLM orchestration and data retrieval Experience with LLM fine-tuning, prompt engineering, and API integration (e.g., OpenAI, Anthropic, Gemini) Solid understanding of cloud infrastructure (AWS, GCP, or Azure) and modern CI/CD workflows Strong grasp of software engineering best practices, including testing, version control, and scalable More ❯
integrating them into production systems Practical knowledge of LangChain, LlamaIndex, and LangGraph for LLM orchestration and data retrieval Experience with LLM fine-tuning, prompt engineering, and API integration (e.g., OpenAI, Anthropic, Gemini) Solid understanding of cloud infrastructure (AWS, GCP, or Azure) and modern CI/CD workflows Strong grasp of software engineering best practices, including testing, version control, and scalable More ❯
first , you will have deep expertise in at least one programming language ( Python, Node.js, Java, JavaScript, TypeScript, React ) and proven experience in productionising GenAI solutions , including integrating LLMs, LangChain, OpenAI API, or Claude . This is a rare opportunity to join as one of the Founding AI Engineers , working alongside a Senior Leadership team drawn from successful high-growth scale More ❯
Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker More ❯
are ethical, scalable, and reliable in production. Your skillset Proven experience designing and scaling enterprise-grade AI/ML systems. Expertise with cloud AI stacks (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong skills in Python, FastAPI, CI/CD, MLOps, and LLM orchestration. Leadership experience across multidisciplinary AI teams. Strategic mindset — able to bridge deep tech with business More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Harrington Starr
providers. Knowledge of financial data and systems (Bloomberg, SimCorp Dimension) preferred. Understanding of investment management workflows (portfolio management, risk, compliance, performance reporting). Experience with GitHub and AI tools (OpenAI, LLM APIs, agentic workflows). Qualifications: Bachelor’s degree in Computer Science, Quantitative Finance, Data Engineering/Analytics/Science, or related field. 2+ years of experience in data engineering More ❯
providers. Knowledge of financial data and systems (Bloomberg, SimCorp Dimension) preferred. Understanding of investment management workflows (portfolio management, risk, compliance, performance reporting). Experience with GitHub and AI tools (OpenAI, LLM APIs, agentic workflows). Qualifications: Bachelor’s degree in Computer Science, Quantitative Finance, Data Engineering/Analytics/Science, or related field. 2+ years of experience in data engineering More ❯
are ethical, scalable, and reliable in production. Your skillset Proven experience designing and scaling enterprise-grade AI/ML systems. Expertise with cloud AI stacks (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong skills in Python, FastAPI, CI/CD, MLOps, and LLM orchestration. Leadership experience across multidisciplinary AI teams. Strategic mindset — able to bridge deep tech with business More ❯
are ethical, scalable, and reliable in production. Your skillset Proven experience designing and scaling enterprise-grade AI/ML systems. Expertise with cloud AI stacks (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong skills in Python, FastAPI, CI/CD, MLOps, and LLM orchestration. Leadership experience across multidisciplinary AI teams. Strategic mindset — able to bridge deep tech with business More ❯
are ethical, scalable, and reliable in production. Your skillset Proven experience designing and scaling enterprise-grade AI/ML systems. Expertise with cloud AI stacks (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong skills in Python, FastAPI, CI/CD, MLOps, and LLM orchestration. Leadership experience across multidisciplinary AI teams. Strategic mindset — able to bridge deep tech with business More ❯
Guildford, England, United Kingdom Hybrid/Remote Options
Intellect Group
ensure solutions are scalable and future-ready. Key Responsibilities Develop and own the AI strategy and product roadmap . Lead the design, prototyping, and production of LLM-based applications (OpenAI, Hugging Face, LangChain, Pinecone). Build technical integrations with platforms such as Microsoft 365, Salesforce, and CMS tools. Define and embed AI governance standards , ensuring ethical and compliant use. Act More ❯
Worcester, England, United Kingdom Hybrid/Remote Options
Chapman Tate Associates
and ready for growth. 💡 What You’ll Bring 5+ years’ experience designing and managing Azure infrastructure at scale. Strong understanding of Azure services: Networking, WAF, Logic Apps, and Azure OpenAI . Deep expertise in automation and Infrastructure as Code (Terraform, Bicep, PowerShell). Solid grasp of Azure security and identity management in line with Zero Trust principles. Experience with CI More ❯
