nuanced trade offs and varied opinions. Experience in a range of tools sets comparable with our own: Database technologies: SQL, Redshift, Postgres, DBT, Dask, airflow etc. AI Feature Development: LangChain, LangSmith, pandas, numpy, sci kit learn, scipy, hugging face, etc. Data visualization tools such as plotly, seaborn, streamlit etc You are Able to chart a path on a long term More ❯
members What you bring to the table Strong coding skills in any OOP languages (backend development) Proficient in Python programming with experience in AI/ML libraries such as LangChain, PydanticAI, NumPy Expertise in Large Language Models (LLMs) including fine-tuning, prompt engineering, and working daily with models like GPT, Claude, Gemini Hands-on experience with vector databases (e.g., OpenSearch … Select Have you worked with Large Language Models (e.g., GPT, Claude, Gemini)? Can you briefly describe your hands-on experience with Python and AI/ML libraries such as LangChain, NumPy, or PydanticAI? We're particularly interested in how you've applied these tools in real-world projects Have you designed or worked with agentic AI systems (e.g., using MCP More ❯
Birmingham, West Midlands, England, United Kingdom
Computer Futures
to integrate systems such as CRMs, payroll software, and shared inboxes.Collaborate with operations leadership to identify inefficiencies and design practical, scalable solutions.Stay current with emerging AI agent frameworks (e.g., LangChain, CrewAI, AutoGen) and apply them where appropriate.Rapidly build, test, and iterate on tools in a fast-paced, problem-solving environment.What You BringA strong problem-solving mindset and a passion for More ❯
founder, and wants to shape how AI is used in the physical world. 🧠 You’ll need: 2+ years' engineering experience with a builder’s mindset Hands-on with LLMs — LangChain, RAG, agents, fine-tuning, etc. Infra knowledge (cloud, containers, relational/graph DBs) Bonus: startup/founder experience 🔧 You’ll be doing: Shipping to prod from Day 1 Building end More ❯
founder, and wants to shape how AI is used in the physical world. 🧠 You’ll need: 2+ years' engineering experience with a builder’s mindset Hands-on with LLMs — LangChain, RAG, agents, fine-tuning, etc. Infra knowledge (cloud, containers, relational/graph DBs) Bonus: startup/founder experience 🔧 You’ll be doing: Shipping to prod from Day 1 Building end More ❯
Birmingham, West Midlands, West Midlands (County), United Kingdom
Computer Futures
systems such as CRMs, payroll software, and shared inboxes. Collaborate with operations leadership to identify inefficiencies and design practical, scalable solutions. Stay current with emerging AI agent frameworks (e.g., LangChain, CrewAI, AutoGen) and apply them where appropriate. Rapidly build, test, and iterate on tools in a fast-paced, problem-solving environment. What You Bring A strong problem-solving mindset and More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
Cloud Data Engineering: AWS (Aurora, DMS, Lambda, Kinesis), Azure Data Factory Streaming & CDC: Apache Kafka, AWS Kinesis, change data capture AI/Vector Search: Pinecone, Weaviate, or Chroma with LangChain API Development: RESTful services, 3rd-party system integrations Production Standards: Monitoring, logging, cost optimisation, error handling Ideal Candidate Senior-level engineer with proven experience delivering client-facing demos or production More ❯
Able to deploy and scale responsive, cross-browser consumer websites API Integrations: Confident working with third-party APIs and building wrappers for AI tools AI Tooling & Frameworks: Familiarity with LangChain, OpenAI SDKs, or other AI orchestration stacks Product Sprints: You're comfortable working in rapid, iterative cycles with weekly releases Prompt Engineering: Able to craft, test, and refine prompts for More ❯
founder, and wants to shape how AI is used in the physical world. 🧠 You’ll need: 2+ years' engineering experience with a builder’s mindset Hands-on with LLMs — LangChain, RAG, agents, fine-tuning, etc. Infra knowledge (cloud, containers, relational/graph DBs) Bonus: startup/founder experience 🔧 You’ll be doing: Shipping to prod from Day 1 Building end More ❯
test and refine prompts through performance benchmarking and feedback loops Required Experience: Strong experience designing prompts for GPT-4, Claude, or equivalent LLMs Hands-on knowledge of frameworks like LangChain, DSPy, or similar tools Ability to reason across structured data, text-based inputs, and system state Familiarity with embedding-based retrieval, memory architectures, and prompt composition High standards for clarity More ❯
Skills: Familiarity with databases (SQL or NoSQL). Tools: JIRA , Confluence , Postman . Experience with Docker , Terraform , Ansible , or other modern development tools. Interest in or awareness of: Snowflake , Langchain , LLMs , XSLT . What You'll Get from Us: The opportunity to learn from experienced consultants and engineers. Exposure to major client programs across industries. A clear career path toward More ❯
Nottingham, Nottinghamshire, East Midlands, United Kingdom
Years.com
of AI across all aspects of Years, from customer-facing applications to internal operations Design and implement AI-powered solutions using tools like n8n, Claude with MCP Servers, and LangChain Develop intelligent automation workflows that enhance efficiency and enable new capabilities Collaborate with cross-functional teams to identify and prioritise AI opportunities Stay current with AI developments and bring cutting More ❯
and advocate for DevOps and Infrastructure as Code (IaC) practices using tools like CDK or Terraform. Stay current with developments in LLM orchestration, multi-agent systems, prompt engineering, and LangChain/LangGraph frameworks. Minimum Requirements: Experience as a Software Engineer, and AI/ML or LLM-centric development. Proven track record with LangGraph, LangChain, or similar orchestration frameworks. Expert in More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
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 to containerise … platforms (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 More ❯
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 to containerise … platforms (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 More ❯
you can ship Python or TypeScript prototypes, keep reading. Responsibilities: Prompt Engineering & Orchestration: Craft, iterate, and optimize prompts for APIs (OpenAI, Cohere, Anthropic). Build multi-step "chains" using LangChain, LlamaIndex, or custom controllers. Develop and maintain AI microservices using Docker, Kubernetes, and FastAPI, ensuring smooth model serving and error handling; Vector Search & Retrieval: Implement retrieval-augmented workflows: ingest documents … APIs (e.g. OpenAI, Hugging Face Inference); Practical experience fine-tuning LLMs via OpenAI, HuggingFace or similar APIs; Strong proficiency in Python; Deep expertise in prompt engineering and tooling like LangChain or LlamaIndex; Proficiency with vector databases (Pinecone, FAISS, Weaviate) and document embedding pipelines; Proven rapid-prototyping skills using Streamlit or equivalent frameworks for UI demos. Familiarity with containerization (Docker) and More ❯
Build proof-of-concepts (PoCs) or demos to validate solution approaches and inspire client confidence. Showcase AI capabilities using relevant tools (e.g. Power BI + Azure ML, Hugging Face, LangChain, GPT APIs). 5. Track Industry Trends and Use Cases Stay ahead of market trends in Generative AI, Responsible AI, and emerging AI use cases across sectors. Advise internal stakeholders … AI/ML concepts: supervised and unsupervised learning, GenAI, LLMs, embeddings, MLOps, vector search. Experience designing solutions using tools such as Azure ML, AWS SageMaker, Google Vertex AI, Databricks, LangChain, and Hugging Face. Ability to develop architecture artefacts (e.g., HLDs), estimate effort and cost, and contribute to proposal writing. Strong storytelling and presentation skills; able to build confidence with senior More ❯
Lead the rollout of AI across key parts of the business — from customer experience to supply chain Build intelligent workflows using tools like n8n, Claude with MCP servers, and LangChain Identify high-impact automation and personalisation opportunities Prototype, test, and implement practical solutions quickly Champion innovation and keep the team ahead of the curve on emerging AI tech What You More ❯
/or GenAI projects end-to-end Proficient with Python and common data science tools and libraries Hands-on experience with GenAI tools and frameworks such as Hugging Face, LangChain, and open-source LLMs Familiar with cloud platforms (Azure preferred), and tools such as Databricks Comfortable using cloud platforms (especially Azure), and familiar with tools such as Databricks, Hugging Face … LangChain, and open-source GenAI libraries Comfortable working with clients and explaining technical concepts to non-technical stakeholders A natural problem solver, with a keen interest in learning and staying ahead of developments in the AI space Ideally experienced working in a consultancy or client-facing role If you're passionate about data, and you're looking to join a More ❯
deep technical problem-solving. Key Responsibilities: Rapidly design and develop LLM and agent-based prototypes across varied use cases. Build agentic workflows and reasoning pipelines using frameworks such as LangChain, LangGraph, CrewAI, Autogen, and LangFlow. Implement retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, FAISS, Chroma, or PostgreSQL. Fine-tune prompts to optimise performance, reliability, and alignment. Design … with their teams, Google Premier Cloud Partner experience etc Expert Python developer with a background in building intelligent, multi-step systems. Hands-on experience with LLM frameworks such as LangChain, LangGraph, LangFlow, CrewAI, or Autogen. Proven track record designing and deploying agentic and generative AI prototypes. Deep understanding of semantic search, vector databases, and memory management strategies. Familiarity with cloud More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Anson McCade
deep technical problem-solving. Key Responsibilities: Rapidly design and develop LLM and agent-based prototypes across varied use cases. Build agentic workflows and reasoning pipelines using frameworks such as LangChain, LangGraph, CrewAI, Autogen, and LangFlow. Implement retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, FAISS, Chroma, or PostgreSQL. Fine-tune prompts to optimise performance, reliability, and alignment. Design … with their teams, Google Premier Cloud Partner experience etc Expert Python developer with a background in building intelligent, multi-step systems. Hands-on experience with LLM frameworks such as LangChain, LangGraph, LangFlow, CrewAI, or Autogen. Proven track record designing and deploying agentic and generative AI prototypes. Deep understanding of semantic search, vector databases, and memory management strategies. Familiarity with cloud More ❯
reporting, and anomaly detection. • Design and deploy RAG (Retrieval-Augmented Generation) and embedding-based search solutions integrated with enterprise knowledge bases. Agent Orchestration & Autonomy • Build intelligent agents using CrewAI, LangChain or similar frameworks to support use cases like automated report generation, root cause analysis, and interactive user agents. • Implement feedback and memory mechanisms to support context-aware, evolving agents. AI … field. • Strong experience with GCP ( Vertex AI, Google Studio and other GCP tools). • Demonstrated success integrating LLM APIs (OpenAI, Vertex AI, Perplexity, Gemini) into production systems. • Expertise with LangChain, CrewAI , OpenAI platform or similar frameworks. • Expertise in building and deploying JS/n8n/Python-based AI workflows , agents, and APIs. • Solid SQL knowledge for structured data operations and More ❯
across the organisation. Skills we would love you to have: Experience in AI/ML engineering or applied machine learning. Proficiency in Python and ML libraries (e.g. Semantic Kernel, Langchain, agentic frameworks). Experience deploying models using APIs, containers, or cloud-native services. Familiarity with Azure and infrastructure-as-code tools. Strong understanding of data engineering, including feature engineering and … you to have: Experience in AI/ML engineering or applied machine learning. Proven experience delivering production-grade AI solutions. Proficiency in Python and ML libraries (e.g. Semantic Kernel, Langchain, agentic frameworks). Experience deploying models using APIs, containers, or cloud-native services. Familiarity with Azure and infrastructure-as-code tools. Strong understanding of data engineering, including feature engineering and More ❯
