Hands-on with SageMaker, Lambda, Step Functions, S3, Athena. - OCR Development: Experience with Amazon Textract, Tesseract, and LLM-based OCR. - Python Expertise: Skilled in Pandas, NumPy, scikit-learn, PyTorch, HuggingFace Transformers; modular, testable code. - ML Models: Proficient in regression, classification, clustering, and time-series forecasting. - Business Insight: Translate business needs into data-driven solutions and actionable insights. More ❯
Programming Skills: Proficient in Python with practical exposure to asynchronous programming and frameworks like FastAPI or Django. LLM Ecosystem Expertise: Experience with tools and libraries such as LangChain, LlamaIndex, HuggingFace Transformers, and OpenAI/Anthropic APIs. Database Knowledge: Strong understanding of relational and NoSQL databases, including schema design and performance optimization. Model Engineering: Familiarity with prompt design More ❯
environment Experience with Agile software development methodologies Familiar with GPU acceleration tools such as PyTorch Familiar with HPC workload managers such as Slurm Familiar with ML frameworks such as HuggingFaceMore ❯
conferences; Experience with one lower level language (not limited to, but such as C++, Rust); Experience with large scale data processing and database tools such as MapReduce, Dask, SQL, HuggingFace Datasets, TileDB, Ray. The salary range for Cambridge, UK: - Senior Machine Learning Engineer: £90,950 - £123,050 Staff Machine Learning Engineer: £113,900 - £154,100 Exact compensation More ❯
or academic experience with version control systems such as Gitlab. • Demonstrated experience leveraging CUDA for GPU accelerated computing. Skills and abilities desired: • Demonstrated professional or academic experience with the HuggingFace Transformers library and hub. • Demonstrated experience with OpenShift and container orchestration within Kubernetes using Helm, Kubectl, Kustomize, or Operators. • Demonstrated experience with Vision Transformers (ViT) such as DINO or DeiT. More ❯
ML and/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 HuggingFace, 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, HuggingFace, 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 More ❯
Search: Use FAISS, Weaviate, Pinecone, ChromaDB, OpenSearch Required skills & experience: 3-5+ years of experience in ML engineering and software development Deep Python proficiency, with PyTorch, TensorFlow or HuggingFace Proven experience with LLMs, RAG, and deploying cloud-native AI on AWS Strong full-stack skills (React, TypeScript, Node.js) and API development Familiarity with vector databases and More ❯
Search: Use FAISS, Weaviate, Pinecone, ChromaDB, OpenSearch Required skills & experience: 3-5+ years of experience in ML engineering and software development Deep Python proficiency, with PyTorch, TensorFlow or HuggingFace Proven experience with LLMs, RAG, and deploying cloud-native AI on AWS Strong full-stack skills (React, TypeScript, Node.js) and API development Familiarity with vector databases and More ❯
mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch. Required skills & experience: 3-5+ years in machine learning and software development Proficient in Python, PyTorch or TensorFlow or HuggingFace Transformers Experience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity with More ❯
mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch. Required skills & experience: 3-5+ years in machine learning and software development Proficient in Python, PyTorch or TensorFlow or HuggingFace Transformers Experience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity with More ❯
mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch. Required skills & experience: 3-5+ years in machine learning and software development Proficient in Python, PyTorch or TensorFlow or HuggingFace Transformers Experience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity with More ❯
mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch. Required skills & experience: 3-5+ years in machine learning and software development Proficient in Python, PyTorch or TensorFlow or HuggingFace Transformers Experience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity with More ❯
mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch. Required skills & experience: 3-5+ years in machine learning and software development Proficient in Python, PyTorch or TensorFlow or HuggingFace Transformers Experience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity with More ❯
mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch. Required skills & experience: 3-5+ years in machine learning and software development Proficient in Python, PyTorch or TensorFlow or HuggingFace Transformers Experience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity with More ❯
City of London, London, Finsbury Square, United Kingdom
The Portfolio Group
mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch. Required skills & experience: 3-5+ years in machine learning and software development Proficient in Python, PyTorch or TensorFlow or HuggingFace Transformers Experience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity with More ❯
training frameworks, libraries and tools. Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability. Strong expertise in PyTorch and HuggingFace libraries with practical experience in model development, continual pretraining, and deployment. More ❯
for transformer architectures as well as alternative approaches. Your expertise should emphasize techniques that enhance model intelligence, efficiency, and scalability within fine-tuning workflows. Strong expertise in PyTorch and HuggingFace libraries with practical experience in developing fine-tuning pipelines, continuously adapting models to new data, and deploying these refined models in production on target platforms. Demonstrated ability More ❯
solution design. Proven experience designing AI solutions for banks, asset managers, insurers, or fintechs. Expertise across a wide spectrum of GenAI technologies (e.g., OpenAI, Google Gemini, Anthropic, Meta Llama, HuggingFace). Familiarity with financial data sources (e.g., market data, transactional data, credit reports) and core systems (e.g., core banking, CRMs, compliance systems). Strong communication skills with More ❯
solution design. Proven experience designing AI solutions for banks, asset managers, insurers, or fintechs. Expertise across a wide spectrum of GenAI technologies (e.g., OpenAI, Google Gemini, Anthropic, Meta Llama, HuggingFace). Familiarity with financial data sources (e.g., market data, transactional data, credit reports) and core systems (e.g., core banking, CRMs, compliance systems). Strong communication skills with More ❯
implement evaluation pipelines to assess and optimize model performance Prototype and productionize agentic workflows that leverage tool usage and chaining Experiment with, tune, and benchmark different LLMs (e.g., OpenAI, HuggingFace, LangChain) Automate model evaluation and integrate insights into the dev lifecycle Support semantic search, data extraction, and document analysis use cases Collaborate with legal engineers and product to build secure More ❯
within the team. Skills & Experience: You will have the following skills or proven experience: Strong programming skills in Python and experience with AI/ML libraries (e.g. PyTorch, TensorFlow, HuggingFace Transformers) Experience training and/or fine-tuning machine learning models, ideally including LLMs or other deep learning architectures. Able to work collaboratively with Data Scientists, engineers and stakeholders in More ❯
At Appwrite we're looking for a AI Engineer to join our team. About the job We're looking for a passionate and curious AI Engineer to join our team and help us explore, prototype, and implement AI-driven features More ❯
Please review the job details below. Maxar seeks an Integration Engineer with a software development background as a contributor in continually updating our cloud and on-prem infrastructure with the latest technology stacks, architectural best practices, and CI-strategies. Our More ❯
range of stakeholders Hands-on experience with LLMs, vector databases, RAG pipelines, prompt engineering, and model fine-tuning Familiarity with cloud platforms (especially Azure), and tools such as Databricks, HuggingFace, LangChain, and open-source GenAI frameworks Deep curiosity and a passion for staying ahead of AI and data science developments Commercial acumen and a focus on delivering More ❯
range of stakeholders Hands-on experience with LLMs, vector databases, RAG pipelines, prompt engineering, and model fine-tuning Familiarity with cloud platforms (especially Azure), and tools such as Databricks, HuggingFace, LangChain, and open-source GenAI frameworks Deep curiosity and a passion for staying ahead of AI and data science developments Commercial acumen and a focus on delivering More ❯
