London, England, United Kingdom Hybrid / WFH Options
Enable International
and ML libraries such as PyTorch, Hugging Face Transformers, or TensorFlow. Experience with vector search tools (e.g., FAISS, Pinecone, Weaviate) and retrieval frameworks (e.g., LangChain, LlamaIndex). Hands-on experience with fine-tuning and distillation of large language models. Comfortable with cloud platforms (Azure preferred), CI/CD tools, and More ❯
London, England, United Kingdom Hybrid / WFH Options
Verityv Ecosystems
skills to effectively collaborate with cross-functional teams. Preferred Qualifications: Experience with agentic AI, multi-agent systems, or autonomous workflows. Familiarity with OpenAI APIs, LangChain, or similar frameworks for building intelligent systems. Knowledge of financial compliance regulations and risk analysis methodologies. Experience with CI/CD pipelines and version control More ❯
communities is encouraged Strong understanding of AI governance, data privacy, and Responsible AI frameworks Experience with AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or similar technologies Demonstrated ability to lead cross-functional teams and operate within complex enterprise ecosystems Familiarity with monitoring, observability, and platform telemetry tools (e.g. More ❯
communities is encouraged Strong understanding of AI governance, data privacy, and Responsible AI frameworks Experience with AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or similar technologies Demonstrated ability to lead cross-functional teams and operate within complex enterprise ecosystems Familiarity with monitoring, observability, and platform telemetry tools (e.g. More ❯
experience of RAG, including chunking strategies, vectorising and indexing data, retrieval strategies and reranking, prompting strategies, function calling. Our current tech-stack is OpenAI, LangChain, Azure AI, Python, pg_vector, Sinequa. AI/ML: Hands on experience with training and evaluating BERT-like models in real-world applications, especially in More ❯
/ML teams or initiatives in cross-functional settings Strong proficiency in Python and ML/DL frameworks such as PyTorch, TensorFlow, Transformers, and LangChain Experience with cloud platforms (Azure or AWS) and MLOps practices (Docker, Kubernetes, CI/CD) Demonstrated ability to deliver scalable AI products in real-world More ❯
/ML teams or initiatives in cross-functional settings Strong proficiency in Python and ML/DL frameworks such as PyTorch, TensorFlow, Transformers, and LangChain Experience with cloud platforms (Azure or AWS) and MLOps practices (Docker, Kubernetes, CI/CD) Demonstrated ability to deliver scalable AI products in real-world More ❯
skills to effectively collaborate with cross-functional teams. Preferred Qualifications: Experience with agentic AI, multi-agent systems, or autonomous workflows. Familiarity with OpenAI APIs, LangChain, or similar frameworks for building intelligent systems. Knowledge of financial compliance regulations and risk analysis methodologies. Experience with CI/CD pipelines and version control More ❯
expertise with large scale Neural Networks, Deep Learning and Reinforcement Learning techniques. Practical exposure to GenAI projects and related frameworks (RAG apps, vector DBs, LangChain, LlamaIndex, agentic frameworks, ...) Advanced knowledge of Python and machine learning frameworks (SciPy, Scikit-learn, TensorFlow, PyTorch, pyMC, pgmpy, ...) Hands-on experience with one More ❯
GenAI or platform operations communities encouraged Strong understanding of AI governance, data privacy, and Responsible AI frameworks Experience with AI frameworks like TensorFlow, PyTorch, LangChain Leadership skills in cross-functional teams within complex ecosystems Familiarity with monitoring and telemetry tools (Prometheus, Grafana, Azure Monitor) Excellent communication and stakeholder engagement skills More ❯
experience of RAG, including chunking strategies, vectorising and indexing data, retrieval strategies and reranking, prompting strategies, function calling. Our current tech-stack is OpenAI, LangChain, Azure AI, Python, pg_vector, Sinequa. Experience of multi-agent systems (LangGraph, Autogen, CrewAI etc.) would be a plus, as would experience of multimodal LLMs More ❯
London, England, United Kingdom Hybrid / WFH Options
Morningstar, Inc
maintenance +2 years of experience with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP) Experience with at least 80%: PyTorch, Tensorflow, LangChain, scikit-learn, Redis, Elasticsearch, Amazon SageMaker, Google Vertex AI, Weights & Biases, FastAPI, Prometheus, Grafana, Apache Kafka, Apache Airflow, MLflow, KubeFlow Ability to break large, complex More ❯
our products. For this role, we're looking for: Strong Python skills and experience with AI/ML approaches and frameworks such as RAG, LangChain, TensorFlow, and PyTorch. Exposure to LLMs from model families such as Anthropic, Meta, Amazon, and OpenAI. Familiarity with tools and packages like Pandas, NumPy, scikit More ❯
Unix command line tools. Preferred Qualifications: PhD degree in Computer Science, Engineering, Mathematics, Physics or a related field. Hands-on experience with LLMs, RAG, LangChain, or LlamaIndex. Experience with big data technologies such as Hadoop, Spark, or Kafka. The estimated total compensation range for this position is More ❯
Unix command line tools. Preferred Qualifications: PhD degree in Computer Science, Engineering, Mathematics, Physics or a related field. Hands-on experience with LLMs, RAG, LangChain, or LlamaIndex. Experience with big data technologies such as Hadoop, Spark, or Kafka. The estimated total compensation range for this position is More ❯
Experience with LLMs (e.g., GPT, LLaMA), prompt tuning, and embedding-based retrieval systems. Proficiency in Python and ML libraries (e.g., PyTorch, Hugging Face Transformers, LangChain). Familiarity with cloud platforms (AWS, GCP, or Azure), ML Ops practices, and secure data handling. What We Offer: Up to €100,000 Flexible Hybrid More ❯
in machine learning, deep learning, and statistical analysis. Expertise in Python, with proficiency in ML and NLP libraries such as Scikit-learn, TensorFlow, Faiss, LangChain, Transformers and PyTorch. Experience with big data tools such as Hadoop, Spark, and Hive. Familiarity with CI/CD and MLOps frameworks for building end More ❯
a hands-on, globally distributed group tackling novel R & D problems that directly impact customers. OUR TECHNOLOGY STACK: Python • Agentic tools (Autogen, Semantic Kernel, LangChain) • SQL • MongoDB • Third-party LLM APIs • LiteLLM • MLflow • Google Cloud Platform • Docker • PyTorch • Hugging Face Transformers • SPARQL • Kubernetes WHAT YOU WILL BE DOING AT BEAMERY More ❯
Behaviour-driven development (BDD), integration testing and performance testing Some experience with AI tools (one of more of) Python, LLM(Large Language models), RAG, Langchain Set Yourself Apart With Bachelor’s/Master’s degree in Computer Science or related field Experience of working on large scale, complex, and distributed More ❯
Experience with AI engineering tools and technologies for fine tuning and serving custom LLMs in production and with other Gen AI tools such as, Langchain, LlamaIndex Experience working with Knowledge graphs based on text data Scala experience iM Getting To Join a rapidly evolving, industry-leading SaaS company on an More ❯
Qualifications Master's or PhD in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or a related field Experience in prompt orchestration frameworks (e.g. LangChain, LlamaIndex) to enhance AI-driven applications Strong programming skills in Python, with experience in frameworks such as PyTorch, TensorFlow, or JAX being a plus Deep More ❯
St Albans, England, United Kingdom Hybrid / WFH Options
Be Technology
Kubernetes). Proficiency in machine learning algorithms and advanced AI techniques, including transformer-based architectures. Hands-on experience with large language models (e.g., GPT, Langchain) or custom-built AI systems. Familiarity with DevOps tools and practices for deploying and managing AI systems. Strong problem-solving skills and the ability to More ❯
AI/ML integration into backend systems, particularly in fintech or risk analysis contexts. Familiarity with agentic AI concepts and frameworks (e.g., OpenAI APIs, LangChain). Knowledge of financial compliance regulations and risk analysis methodologies. Past experiences working in Fintech, Financial Services or related industries. What We Offer: Competitive salary More ❯
AI/ML integration into backend systems, particularly in fintech or risk analysis contexts. Familiarity with agentic AI concepts and frameworks (e.g., OpenAI APIs, LangChain). Knowledge of financial compliance regulations and risk analysis methodologies. Past experiences working in Fintech, Financial Services or related industries. What We Offer: Competitive salary More ❯
AI/ML integration into backend systems, particularly in fintech or risk analysis contexts. Familiarity with agentic AI concepts and frameworks (e.g., OpenAI APIs, LangChain). Knowledge of financial compliance regulations and risk analysis methodologies. Past experiences working in Fintech, Financial Services or related industries. What We Offer: Competitive salary More ❯
