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Capgemini Invent At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to…
Freelance technical consultant designs and implements AI data solutions for clients, advising on data pipelines, labeling, and AI workflows using Python and ML concepts.
Designs, fine-tunes, and deploys advanced NLP models (text classification, sentiment analysis, NER, machine translation) using Python, NLP libraries like NLTK/spaCy/Hugging Face Transformers, and TensorFlow or PyTorch. Works with large text datasets and integrates language intelligence into the client's production platform from an office in Bloemfontein.
Salary: £70,000 - 90,000 per year Requirements: 5 years of demonstrable experience in AI/ML engineering, specifically deploying NLP or ML models in production environments Strong experience with common NLP/ML libraries…
AI Developer Activants helps companies in their digital transformation journey by designing and delivering process automation to improve business performance and increase customer satisfaction. Headquartered in…
At Uni Systems, we are working towards turning digital visions into reality. We are continuously growing and we are looking for a professional Machine Learning Engineer to join our UniQue Ispra team. In this role, you…
Data Scientist We are: Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market…
Senior AI Engineer at Parkside in West London (onsite) who designs and ships NLP and ML models into production SaaS. Day-to-day work centers on LLMs (RAG, fine-tuning, evaluation, monitoring), Python APIs, frameworks like PyTorch/Hugging Face, and AWS-based distributed systems and data pipelines.
Develops, trains and fine-tunes large language models for decision support, mission planning and workflow automation, building RAG and agentic systems and deploying them to production. Core stack: Python, PyTorch, Hugging Face, LangChain/LlamaIndex, vector databases and Google Cloud (Vertex AI).
CO-OP STUDENT — DATA ENGINEER, AI READINESS (MEDICAL-LEGAL DATA) Fully Remote (Ontario or Quebec) CONTRIBUTING TO THE CMPA The Student, Data Engineer, AI Readiness will help transform raw, largely unstructured…
Job Description: AI Engineer (12-15 Years Experience) Position Title Senior AI Engineer / Lead AI Engineer Experience 12-15 Years Location Flexible / Hybrid / Onsite Job Summary We are seeking an experienced AI…
Job Description: Position: Senior Machine Learning Engineer Location: Barcelona Department: Technology About the Role Dow Jones is seeking a skilled Senior Machine Learning Engineer to join our AI Engineering Team. You…
A co-op student data engineer at the CMPA cleans and structures raw medical-legal records (call transcripts, documents, case files) into governed, de-identified, AI-ready datasets, building Python pipelines and quality controls on on-prem infrastructure to support AI training and evaluation in a regulated healthcare environment.
Software Engineer III at JPMorganChase's Corporate Technology in Glasgow, building and delivering production Python/AI-ML systems — web/API services (Flask/FastAPI), ML/NLP pipelines on Spark/Databricks, and LLM/agentic-AI applications. Day to day: designing solutions, writing secure production code, and taking models from prototype to production in an agile team.
Joins BOLD's Data Science team in Noida to build ML/NLP data products (resume parsing, ranking, recommendations, content generation) using Python, SQL, Flask, SpaCy/NLTK, and TensorFlow/PyTorch, including LLM fine-tuning, turning user data into predictive models and insights for Product and Management teams.
A recruitment firm's client is hiring a Senior Data Scientist specializing in NLP to design, develop, and deploy models powering sentiment analysis, chatbots, summarization, and information extraction. Day-to-day work centers on Python, NLP libraries (NLTK, spaCy, Hugging Face), and TensorFlow/PyTorch, offered as a fully remote role based in Pretoria, South Africa.
Lead a data science team in Cape Town designing, building, and deploying NLP models (text classification, sentiment analysis, topic modeling, machine translation) while mentoring staff and driving analytics strategy. Core stack: Python with NLP libraries (NLTK, spaCy, Hugging Face Transformers), big data tools (Spark, Hadoop), and cloud platforms.
Builds, integrates, and maintains NLP models and applications (text classification, sentiment analysis, NER, machine translation) plus text data pipelines for a client's team in Sandton, South Africa. Core stack is Python with NLP libraries (NLTK, spaCy, Transformers, Gensim) and deep learning frameworks (TensorFlow, PyTorch), in a hybrid work model.
A hybrid Data Scientist role in Richards Bay focused on building and deploying NLP models (text classification, sentiment analysis, NER, topic modeling) to extract insights from text data. Core stack: Python with NLTK, spaCy, Hugging Face Transformers, plus TensorFlow/PyTorch.
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