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, PyTorch, or Hugging Face. Experience integrating AI into enterprise platforms such as DealCloud, Salesforce, or similar CRMs. Understanding of workflow automation tools (e.g., Zapier, n8n, Make) and dashboarding platforms (e.g., Power BI More ❯
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 HuggingFace Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ More ❯
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 HuggingFace Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ More ❯
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 HuggingFace Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ More ❯
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 HuggingFace Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ More ❯
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
Luxoft
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 HuggingFace Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Luxoft
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 HuggingFace Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ More ❯
London, England, United Kingdom Hybrid / WFH Options
HTA-Hive
Scrapy, or Selenium), data wrangling, model development, and evaluation. Demonstrable experience experimenting with and deploying applications using Large Language Models (e.g., via OpenAI, Anthropic, or open-source models via HuggingFace). Experience building and maintaining data pipelines and a comfort with software engineering best practices (version control, CI/CD, testing). Exceptional communication skills, with the More ❯
contribute to the development of innovative solutions. Your Profile Essential skills/knowledge/experience: Proficiency in Python and extensive experience with AI/ML/NLP libraries (e.g., HuggingFace 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 More ❯
contribute to the development of innovative solutions. Your Profile Essential skills/knowledge/experience: Proficiency in Python and extensive experience with AI/ML/NLP libraries (e.g., HuggingFace 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 More ❯
AI-powered decision support systems. Key Responsibilities - Design, develop, and deploy LLM-based solutions for secure environments - Build and fine-tune models using Python-based frameworks (eg, PyTorch, TensorFlow, HuggingFace Transformers) - Collaborate with cross-functional teams to understand domain-specific challenges and translate them into data-driven solutions - Perform data wrangling, preprocessing, and feature engineering on structured More ❯
Technical Expertise Expert-level Python programming with deep knowledge of PyTorch, TensorFlow, or JAX Proven experience with distributed computing environments and modern MLOps workflows Practical knowledge of LLM toolkits (HuggingFace ecosystem, training frameworks) Strong problem-solving abilities for complex model performance and infrastructure challenges Highly Valued Advanced degree (Master's/PhD) in Computer Science, Machine Learning More ❯
Technical Expertise Expert-level Python programming with deep knowledge of PyTorch, TensorFlow, or JAX Proven experience with distributed computing environments and modern MLOps workflows Practical knowledge of LLM toolkits (HuggingFace ecosystem, training frameworks) Strong problem-solving abilities for complex model performance and infrastructure challenges Highly Valued Advanced degree (Master's/PhD) in Computer Science, Machine Learning More ❯
the broader ML/NLP community Technical Skills: Degree in Computer Science, Engineering, Bioinformatics, or related field (BSc, MSc, PhD) Experience with ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, Scikit-learn) Strong Python skills and familiarity with additional languages (e.g., Java, C++) Understanding of biomedical ontologies, knowledge graphs, or causal inference is a plus Familiarity with cloud platforms (AWS More ❯
the broader ML/NLP community Technical Skills: Degree in Computer Science, Engineering, Bioinformatics, or related field (BSc, MSc, PhD) Experience with ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, Scikit-learn) Strong Python skills and familiarity with additional languages (e.g., Java, C++) Understanding of biomedical ontologies, knowledge graphs, or causal inference is a plus Familiarity with cloud platforms (AWS More ❯
broader data or product architectures Stay current with emerging AI frameworks, libraries, and model optimisation techniques What We’re Looking For Strong Python and ML ecosystem experience (PyTorch, TensorFlow, HuggingFace, LangChain, etc.) Proven delivery of AI/ML solutions in production environments Experience with cloud platforms (Azure, AWS, or GCP) and MLOps tooling (MLflow, Vertex AI, etc. More ❯
CI/CD pipelines, automated testing, and monitoring, applying MLOps practices such as versioning, retraining, and drift detection (tools: MLflow, Azure ML, Databricks) Leverage both open-source frameworks (LangChain, HuggingFace, etc.) and enterprise platforms (Azure OpenAI, Databricks, etc.) to deliver production ready, scalable AI solutions Implement generative AI and advanced analytics features, including embeddings, retrieval-augmented generation More ❯
familiarity with ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Pandas). Practical experience with RAG or agentic AI frameworks (LangChain, LlamaIndex). Experience working with LLM APIs (e.g. HuggingFace, OpenAI). Exposure to conversational AI platforms (Dialogflow, Lex, Rasa, etc.). Ability to work collaboratively in fast-paced, agile, and multidisciplinary environments. Excellent communication skills and More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Amber Labs
familiarity with ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Pandas). Practical experience with RAG or agentic AI frameworks (LangChain, LlamaIndex). Experience working with LLM APIs (e.g. HuggingFace, OpenAI). Exposure to conversational AI platforms (Dialogflow, Lex, Rasa, etc.). Ability to work collaboratively in fast-paced, agile, and multidisciplinary environments. Excellent communication skills and More ❯
DevOps, Docker, Kubernetes). Proficiency with AI/ML and MLOps platforms (Databricks, Google Cloud Vertex AI, SageMaker). Familiarity with generative AI technologies and frameworks (OpenAI, Google Gemini, HuggingFace Transformers). Demonstrated success in developing and executing product strategies. Ability to lead and inspire cross functional teams. Strong analytical skills and customer centric mindset. Excellent communication More ❯
Solutions Architect, Azure AI Engineer Associate, GCP AI/ML Engineer). Vendor-specific CX/CCaaS certifications (Genesys Cloud, Amazon Connect). Specialist AI/ML certifications (TensorFlow, HuggingFace, OpenAI, or equivalent). Benefits This is your chance to join a friendly and passionate team that will motivate you to learn and develop your career in More ❯
teams Optimise big data and cloud infrastructure (Azure/GCP) Requirements: 3+ years in data engineering or MLOps Strong Python and exposure to ML/AI libraries (e.g. PyTorch, HuggingFace) Proficient with Airflow, DBT, Docker, Kubernetes Cloud deployment experience (Azure preferred) Backend/API development experience with client-facing exposure Interested? Please apply below. More ❯
who thrives in a collaborative, mission-driven environment. You bring: Proven experience deploying machine learning models into production environments. Strong Python skills and experience with LLM frameworks (LangChain, LlamaIndex, HuggingFace Transformers). Knowledge of conversational AI platforms (Dialogflow, Lex, Rasa). Familiarity with TensorFlow , PyTorch , Keras , scikit-learn , and Pandas . Experience integrating with cloud-based AI services (AWS, Google More ❯
practices. What We’re Looking For Strong academic background in Computer Science, ML, AI, or a related field. Deep hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, HuggingFace). Proven background in MLOps, including model versioning, CI/CD for ML, and production monitoring. Experience building robust backend systems and APIs to serve ML models More ❯
