a strong backend foundation (70%) and frontend expertise (30%) to design, build, and scale AI-driven applications. You’ll work on next-generation AI solutions leveraging OpenAI, Azure OpenAI, Claude (Anthropic) , LangChain , LangGraph , and MCP (Model Context Protocol) to orchestrate intelligent agent workflows, implement RAG (Retrieval Augmented Generation) pipelines, and integrate with vector databases and voice processing systems. … backend services using TypeScript (Node.js) and C# (.NET Core) . Implement intelligent AI pipelines using LangChain , LangGraph , MCP , and RAG frameworks. Integrate and optimize LLM APIs (OpenAI, Azure OpenAI, Claude, etc.) for production-grade use cases. Work with PostgreSQL Vector databases for embedding storage and similarity search. Develop modular and responsive React frontends for AI-driven user experiences. Implement … microservices. Frontend (30%) : Proficiency in React (TypeScript preferred). Experience with modern UI frameworks and responsive design. AI & Data Tools: Experience with OpenAI and Azure OpenAI APIs. Knowledge of Claude (Anthropic) models and integration. Hands-on experience with LangChain , LangGraph , RAG , and MCP (Model Context Protocol) . Familiarity with vector databases (PostgreSQL Vector, Pinecone, Weaviate, etc.). Understanding More ❯
and outcomes to leadership and clients. Mandatory Skills Description: Strong programming skills in Python (preferred), with 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 More ❯
and outcomes to leadership and clients. Mandatory Skills Description: Strong programming skills in Python (preferred), with 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 More ❯
and outcomes to leadership and clients. Mandatory Skills Description: Strong programming skills in Python (preferred), with 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 More ❯
Edinburgh, Scotland, United Kingdom Hybrid/Remote Options
Luxoft
findings, and outcomes to leadership and clients. Skills Description: Strong programming skills in Python (preferred), with 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 More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Luxoft
findings, and outcomes to leadership and clients. Skills Description: Strong programming skills in Python (preferred), with 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 More ❯
extensive experience with AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). Experience with state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude), including prompt engineering, fine-tuning, and evaluation. Hands-on experience with core GenAI frameworks (e.g., LangChain, LlamaIndex) and Agentic AI frameworks (e.g., AutoGen, CrewAI, LangGraph). Proficiency in MLOps More ❯
extensive experience with AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). Experience with state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude), including prompt engineering, fine-tuning, and evaluation. Hands-on experience with core GenAI frameworks (e.g., LangChain, LlamaIndex) and Agentic AI frameworks (e.g., AutoGen, CrewAI, LangGraph). Proficiency in MLOps More ❯
Langthwaite Grange Ind Estate, South Kirkby, Pontefract, West Yorkshire, England, United Kingdom
QA
foundation in AI/ML (e.g. neural networks, NLP, transformers) Proficiency in Python and ML frameworks (e.g. PyTorch, TensorFlow) Familiarity with LLM APIs and open-source models (e.g. GPT, Claude, Whisper) Understanding of agentic AI frameworks (e.g. LangChain, AutoGen) A passionate, motivated and driven person Desirable skills: Experience with ASR or captioning tools Knowledge of accessibility standards (e.g. WCAG More ❯
data governance standards Required Skills & Experience - Active SC Clearance (mandatory) - Proven experience in Python for data science and machine learning - Hands-on expertise with LLMs (eg, GPT, BERT, LLaMA, Claude, etc.) - Familiarity with NLP tasks such as summarization, classification, entity recognition, and prompt engineering - Experience working in secure or classified environments - Strong understanding of MLOps, model deployment, and containerization More ❯
practices. What You’ll Be Doing: Designing, developing, and deploying machine learning and AI models used in compliance and risk workflows on AWS Building LLM applications (e.g. GPT, LLaMA, Claude) that automate policy checks, documentation, and audit trails Implementing end-to-end AI workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Developing scalable More ❯
engineers within project teams Key Details Salary : £100,000–£130,000 + benefits Working model : Hybrid (3 days/week in London office) Tech stack : Python, LLMs (OpenAI/Claude), Docker, CI/CD, microservices, AWS If you're a strong backend or platform engineer passionate about GenAI and excited to ship high-impact tools, this is the opportunity More ❯
engineers within project teams Key Details Salary : £100,000–£130,000 + benefits Working model : Hybrid (3 days/week in London office) Tech stack : Python, LLMs (OpenAI/Claude), Docker, CI/CD, microservices, AWS If you're a strong backend or platform engineer passionate about GenAI and excited to ship high-impact tools, this is the opportunity More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Intellect Group
optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI More ❯
optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI More ❯
building robust, scalable software systems Full-stack development capability across modern technologies Client-facing experience or technical consulting skills AI curiosity and hands-on experimentation with tools like ChatGPT, Claude, GitHub Copilot For Principal Engineers: 8+ years delivering complex, enterprise-grade software Proven AI/ML expertise with production deployment experience Advanced knowledge of transformer architectures, foundation models, and More ❯
/UX Familiarity with cloud-based data services (AWS/GCP/Azure) Proven ability working with containerised deployments (Docker) Experience using AI-assisted coding and development tools (eg Claude Code, Cursor) as part of modern best practices Familiarity with continuous integration/continuous deployment and tools such as Gitlab and ArgoCD Beneficial Skills: Interest in chemistry, manufacturing, or More ❯
responsible AI practices, governance, and compliance. Staying ahead of the curve with emerging AI tools, frameworks, and trends. What you'll bring: Hands-on experience with LLMs (e.g. GPT, Claude, LLaMA) and prompt engineering. Familiarity with LangChain, LlamaIndex, or similar frameworks. Proficiency in Python or JavaScript for prototyping and integration work. Experience using automation platforms (UiPath, Power Automate, Zapier More ❯
fit Startup hacker mindset: You self‐start from zero, respect no silos, and carry work from prototype to production. 🛠️ AI‐native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar). 7–10 years building production ML/back‐end systems; 2+ years leading while coding. Expert Python ; strong back‐end chops (e.g., FastAPI, gRPC, Postgres More ❯
fit Startup hacker mindset: You self‐start from zero, respect no silos, and carry work from prototype to production. 🛠️ AI‐native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar). 7–10 years building production ML/back‐end systems; 2+ years leading while coding. Expert Python ; strong back‐end chops (e.g., FastAPI, gRPC, Postgres More ❯
across the organisation. Key Responsibilities: Develop, test, and refine high-quality prompts tailored for DealCloud, Filament Sifter, and Capsa use cases. Work closely with AI vendors such as ChatGPT, Claude, and Perplexity to enhance prompt performance and relevance. Support the design and implementation of AI-powered chatbots within DealCloud to improve user interaction and automation. Collaborate with data engineers … strategies. Skills and Experience: More than 3 years of experience in AI, NLP, or prompt engineering. Proven track record of designing and optimising prompts for LLMs such as ChatGPT, Claude, Gemini, or Perplexity. Strong understanding of generative AI principles, prompt chaining, context window management, and token efficiency. Proficiency in Python and experience with AI/ML frameworks like TensorFlow More ❯
