Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value More ❯
languages for data analysis and machine learning. Experience with cloud platforms and services, preferably Azure, for data science and machine learning Experience with one or more generative AI and LLM frameworks and tools. Experience with machine learning concepts and techniques and Deep Learning. Experience with data visualisation and storytelling tools and techniques. Understanding of ethical considerations and compliance requirements in More ❯
BigQuery Desirable Skills Familiarity with MLOps, model monitoring, and production deployment Experience in a specific domain (e.g., marketing, operations, fraud, personalization, NLP) is a plus Hands-on experience with LLM stacks (e.g., Mistral, LangChain, Chroma, Hugging Face Transformers) Interest in staying current with AI trends and contributing to internal R&D or innovation initiatives Additional Information Diversity and inclusion is More ❯
Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability More ❯
Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability More ❯
Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity More ❯
Central London, London, United Kingdom Hybrid / WFH Options
Staffworx Limited
code (Terraform, AWS CDK). Excellent problem-solving skills and ability to translate business requirements into technical solutions. Preferred: Experience with AI chatbot frameworks (Dialogflow, Rasa, BotPress, or custom LLM integrations). Exposure to AI ethics, data privacy, and compliance regulations. Prior experience in multi-agent systems or autonomous AI workflows. Hands-on experience with vector databases (Pinecone, Weaviate, FAISS More ❯
key stakeholders, including C-level executives, to drive adoption and long-term success of Tungsten Automation solutions Production AI Experience : Leverage experience with deploying, monitoring, and maintaining AI/LLM models in production (e.g., Azure ML, AWS Sagemaker, or Kubernetes-based ML pipelines) Thought Leadership : Provide thought leadership on AI-driven automation trends and best practices, both internally and externally More ❯
cases in the context of intelligent file protection and the broader cybersecurity landscape. Validate feasibility with stakeholders, ensuring solutions are viable without reliance on cloud-based AI inferencing or LLM endpoints. Gather and elicit model requirements from defined use cases to enable agile development, rapid feedback loops, and continuous iteration across the delivery lifecycle. Collaboration with Data Science and Engineering More ❯
Furthering Developer Experience (DevEx) by mentoring others in writing code that is intuitive, clear, and easy to test Developing observability for new and existing ML applications and GenAI/LLM integrations, making use of the Grafana Stack (Prometheus, Loki, Tempo) Working closely with Data Scientists and ML Engineers throughout the lifecycle of productionising their models Being responsive to incidents regarding More ❯
East London, London, United Kingdom Hybrid / WFH Options
BroadbandUK
Next.js (preferred), with flexibility for other modern frameworks Infrastructure: AWS (including Lambda, S3, DynamoDB), DigitalOcean Data: MySQL, Redis, NoSQL stores Dev tools: GitHub, CI/CD, Docker AI & Automation: LLM APIs, vector databases, agentic workflow tools, n8n, Claude Code, Cursor What were looking for We know no one ticks every box, but proven experience in leading engineering teams and building More ❯
changes before launch Conduct statistical investigations into customer behaviour and funnel performance (e.g. search abandonment, filter usage, session patterns) Run literature reviews and research spikes on emerging techniques-e.g. LLM-assisted retrieval, hybrid recommenders, contrastive learning Collaborate with ML engineers to move promising prototypes into production Design and analyse AB tests to evaluate impact on discovery metrics (e.g. conversion, engagement More ❯
including natural language understanding and multi-turn dialogue flows Track usage and feedback, contributing to continuous improvement, performance tuning, and innovation across automation initiatives Explore and test GenAI and LLM capabilities, enhancing user experience as well as automation Requirements Minimum of 4 years’ experience as an AI Integration Engineer Proven experience with Microsoft Co-pilot Studio and Power Platform such More ❯
Jira, Notion, Figma) Awareness of data privacy and compliance challenges in enterprise products Nice to have Background in AI/ML products, analytics platforms, or workflow tools Experience with LLM applications, knowledge graphs, or enterprise AI integrations Exposure to regulated or high-security industries (finance, maritime, healthcare, logistics) Benefits Competitive package with equity opportunities and remote-first flexibility More ❯
generative AI and machine learning solutions for commercial real estate. Apply largelanguage models to analyse financial documents and market datasets. Engineer and optimise prompts, as well as evaluate LLM outputs for accuracy and relevance. Build production-ready Python code and integrate models into user-facing applications. Monitor and refine model performance post-deployment, making improvements based on feedback. Collaborate More ❯
Generative AI experience Proven experience with language-based Generative AI eg. LangChain, LangSmith, LangGraph, RAG, Proficiency in Python, data science libraries such as numpy, Pandas, scikit-learn Experienced in LLM frameworks such as LangChain Ability to build and create prototypes in a fast-paced environment BSc/MSc in Computer Science, Physics, Mathematics, Engineering, or similar field Why Join Our More ❯
Generative AI experience Proven experience with language-based Generative AI eg. LangChain, LangSmith, LangGraph, RAG, Proficiency in Python, data science libraries such as numpy, Pandas, scikit-learn Experienced in LLM frameworks such as LangChain Strong client-facing consulting or B2B experience Ability to build and create prototypes in a fast-paced environment BSc/MSc in Computer Science, Physics, Mathematics More ❯
problem statement, articulating the root cause in a structured way. Expert knowledge : Demonstrate an understanding of the unique challenges of building with LLMs, such as managing hallucinations and evaluating LLM performance. Discovery : Identify and use a range of confidence-building methods to understand how users will interact with AI chat products, how to integrate AI into their workflows, and how More ❯
North London, London, United Kingdom Hybrid / WFH Options
Lancesoft Ltd
code). Familiarity with AI agent frameworks such as Model Context Protocol (MCP) or LangChain. Exposure to large-scale software system architecture. Desirable: Direct experience in generative AI and LLM research. Experience with open-source AI libraries. Knowledge of SQL and database interaction. Hands-on experience with version control systems. More ❯
communication skills. Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences. Nice to have skills/experiences: Experience building LLM applications using tools such as Langchain. Experience in Information Retrieval systems for document question answering. Experience in day-to-day NLP for the industry using Python and related toolchains (SpaCy More ❯
problems Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences. Professional fluency in both French and English. Even better Experience building or deploying AI/LLM systems in production Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents More ❯
problems Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences. Professional fluency in both Spanish and English. Even better Experience building or deploying AI/LLM systems in production Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents More ❯
problems Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences. Professional fluency in both German and English. Even better Experience building or deploying AI/LLM systems in production Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents More ❯
coding tools (e.g., Claude, GitHub Copilot) and an enthusiasm for adopting new AI technologies. 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 More ❯
