City of London, London, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions
language models. You’ll work on fine-tuning, integrating, and scaling LLMs for real-world applications. Key Skills: Strong Python engineering background Experience with LLMs (e.g. Hugging Face, OpenAI, LangChain) Model fine-tuning, RAG pipelines, vector databases (e.g. FAISS, Pinecone) Cloud (AWS/GCP), CI/CD, Docker Bonus: Knowledge of model optimization, quantization, or open-source contributions. 📩 If interested More ❯
Central London / West End, London, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions
language models. You’ll work on fine-tuning, integrating, and scaling LLMs for real-world applications. Key Skills: Strong Python engineering background Experience with LLMs (e.g. Hugging Face, OpenAI, LangChain) Model fine-tuning, RAG pipelines, vector databases (e.g. FAISS, Pinecone) Cloud (AWS/GCP), CI/CD, Docker Bonus: Knowledge of model optimization, quantization, or open-source contributions. 📩 If interested More ❯
to architectural patterns of large scale software applications. Preferred: Direct experience in generative AI and LLM research. Must have skills: Python-programming Generative AI Understanding of MCP servers/LangChainMore ❯
Microsoft Fabric Cloud, preferably Azure (Data Lake, Functions, App Services) Containerisation with Docker and CI/CD pipelines MLOps tooling (MLFlow, Git-based versioning, environment tracking) Desirable Skills & Interests LangChain, Langflow, or similar frameworks for building AI agents LLMs or intelligent automation workflows High-availability, scalable systems (microservices, event- based architectures) Orchestration tools like Airflow, container orchestration (Kubernetes), or serverless More ❯
City of London, London, United Kingdom Hybrid / WFH Options
ITSS Recruitment
Microsoft Fabric * Cloud, preferably Azure (Data Lake, Functions, App Services) * Containerisation with Docker and CI/CD pipelines * MLOps tooling (MLFlow, Git-based versioning, environment tracking) Desirable Skills & Interests * LangChain, Langflow, or similar frameworks for building AI agents * LLMs or intelligent automation workflows * High-availability, scalable systems (microservices, event- based architectures) * Orchestration tools like Airflow, container orchestration (Kubernetes), or serverless More ❯
Employment Type: Permanent
Salary: £65000 - £80000/annum Bonus, 26 days holiday, private heal
Azure Experience building full web applications (not just websites) Product-focused mindset with attention to UX and code quality Bonus: experience or interest in AI/LLMs (OpenAI, Claude, LangChain, etc.) Preferably from mid-large company environments Interview Process: 30-minute intro (including some technical Qs) Technical task (approx. 3-4 hours) Final interview with programme leadership If you're More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
ITSS Recruitment Ltd
Microsoft Fabric* Cloud, preferably Azure (Data Lake, Functions, App Services)* Containerisation with Docker and CI/CD pipelines* MLOps tooling (MLFlow, Git-based versioning, environment tracking)Desirable Skills & Interests* LangChain, Langflow, or similar frameworks for building AI agents* LLMs or intelligent automation workflows* High-availability, scalable systems (microservices, event-based architectures)* Orchestration tools like Airflow, container orchestration (Kubernetes), or serverless More ❯
foundation in software design patterns and data structures Familiar with Git, Jupyter, command line, and agile workflows Experience with: React.js Node Python CSS Typescript Unit Testing AI/ML: LangChain, PyTorch, TensorFlow (basic understanding) Bonus: Interest in ethical AI, UX design, and CI/CD optimization Authorized to work in the UK without visa sponsorship Remote Setup Requirements: Reliable high More ❯
practices Background in integrating enterprise tools and systems (REST APIs, M365, iManage, etc.) Strong problem-solving mindset and collaborative approach Bonus experience: Typescript/Node.js (for custom node development) LangChain, OpenAI APIs, LLM/agent-based design Microsoft Power Platform or Copilot Studio Background in legal, financial or other regulated environments If you're looking for a forward-thinking role More ❯
Your day-to-day tasks will involve solving abstract problems and utilizing modern AI tools and models across the entire data and engineering stack. Tech Stack AI Engineering: Python, LangChain, LlamaIndex, LangGraph AI Models: OpenAI, Anthropic, Gemini, Custom Models Data Tools: DBT, BigQuery Databases: PostgreSQL, OpenSearch, Redis Product Engineering: TypeScript (Full-stack) Infrastructure: Serverless, AWS, Google Cloud, GitHub Actions Requirements More ❯
practices Background in integrating enterprise tools and systems (REST APIs, M365, iManage, etc.) Strong problem-solving mindset and collaborative approach Bonus experience: Typescript/Node.js (for custom node development) LangChain, OpenAI APIs, LLM/agent-based design Microsoft Power Platform or Copilot Studio Background in legal, financial or other regulated environments If you’re looking for a forward-thinking role More ❯
a plus). Preferred: Knowledge of AI libraries (eg OpenAI, PyTorch), SQL/NoSQL databases, or Node.js/TypeScript for custom n8n nodes. Experience with Microsoft Power Platform or LangChain frameworks. Benefits £70k-£75k salary + benefits. 25 days holiday (increasing with service) plus holiday buy scheme. Generous pension scheme (up to 10% employer contribution). Private medical insurance from More ❯
a plus). Preferred: Knowledge of AI libraries (e.g. OpenAI, PyTorch), SQL/NoSQL databases, or Node.js/TypeScript for custom n8n nodes. Experience with Microsoft Power Platform or LangChain frameworks. Benefits £70k–£75k salary benefits. 25 days holiday (increasing with service) plus holiday buy scheme. Generous pension scheme (up to 10% employer contribution). Private medical insurance from month More ❯
practices, and integrate cutting-edge AI capabilities. ️ Your responsibilities Design and develop robust and scalable generative AI services using Python and open source frameworks such as Writer Agent Builder, LangChain, and n8n. Implement responsive and user-friendly frontend interfaces, leveraging technologies like React, TypeScript, and modern web frameworks. Work with cloud platforms such as AWS, GCP, or Azure to deploy More ❯
Platform (Power Apps, Power Automate, Copilot Studio) Strong programming skills in Python and/or C# Experience with Azure OpenAI, Microsoft Graph API, and Azure AI Search Familiarity with LangChain, Semantic Kernel, or similar orchestration tools Understanding of cloud deployment, security, and identity management in Azure Exposure to financial services or other regulated environments is a strong plus Passion for More ❯
Platform (Power Apps, Power Automate, Copilot Studio) Strong programming skills in Python and/or C# Experience with Azure OpenAI, Microsoft Graph API, and Azure AI Search Familiarity with LangChain, Semantic Kernel, or similar orchestration tools Understanding of cloud deployment, security, and identity management in Azure Exposure to financial services or other regulated environments is a strong plus Passion for More ❯
Ability to contribute significantly to architecture decisions and the product roadmap. A strong understanding of LLM-powered applications, including agents, tools, and prompt engineering. Experience with agent frameworks like LangChain or LangGraph. Familiarity with cloud-native systems, especially Google Cloud Platform (Firestore, GCS). Exposure to survey research tools or statistical packages. You're not afraid of maths (bonus if More ❯
operating robust data pipelines, ETL frameworks, and analytics dashboards that serve clients in regulated industries like water or telco. Familiarity with modern AI/ML stacks: Python, Kubernetes, PyTorch, LangChain, vector databases, etc. Demonstrated ability to align AI and analytics initiatives with business outcomes and customer value. Inspirational leadership style with a strong product sense and ability to lead through More ❯
be initially 6 months but likely to extend this is paying £475 a day In order to be considered for this role you will need to have - LLM applications: LangChain, Pydantic-AI (similar frameworks), RAG systems, MCP servers Front end: some experience with Typescript, REACT Application servers, web servers, database servers, docker Some context: frontend (TS/React) and a More ❯
that's pushing boundaries in autonomous AI What You'll Need: A strong foundation in data science and machine learning Hands-on use of modern AI tools (LLMs, RAG, LangChain, co-pilots, agentic workflows) Curiosity and eagerness to learn in a fast-moving AI landscape Experience collaborating with stakeholders and translating business problems into technical solutions What You'll Get More ❯
securing apps on cloud platforms (GCP, Azure, etc.). Familiarity with compliance frameworks (eg, ISO 27001), security monitoring, and IaC security policies. Bonus if you've worked with LLMs, LangChain, or Next.js. What's on Offer Hybrid/remote working within the EU/UK. One day on-site per week Salary: Up to £110,000 DOE A collaborative, multicultural More ❯
debt, and improvement strategies. Partner with Directors, AI Leads, and Infrastructure Leads to align software outcomes with business goals. Leverage your understanding of AI tooling and modern frameworks (e.g. LangChain, DeepSeek) to guide effective integration into internal platforms. Requirements/experience: Proven experience leading software development teams in a scale-up or fast-growth tech environment Strong background in DevOps More ❯
in multi-agent systems, collective learning, AI safety, secure agent execution, emerging AI agent architectures, and tool integration. Familiarity with one or more multi-agent frameworks (such as LangGraph, LangChain, CrewAI, AutoGen, and Pydantic AI), communication standards (such as MCP, A2A, Story's Agent TCP/IP, Near's AITP), distributed systems, distributed AI architectures, and consensus mechanisms. Ability to More ❯
Python, API design, and distributed systems architecture. You are an expert in LLM orchestration. You have hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and orchestration frameworks like LangChain, LlamaIndex, or have built custom agent frameworks from scratch. You understand intelligent information retrieval. You have experience with RAG (Retrieval-Augmented Generation) systems, vector databases, and embedding models for knowledge More ❯
