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5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks ...

organisation. Required Experience & Skills AI/Technical Strong experience building and deploying machine learning and AI solutions in production. Hands‐on experience with: Python (PyTorch, TensorFlow, scikit‐learn) Data engineering tools (SQL, Spark, Airflow or similar) LLMs, NLP, and document intelligence (e.g. RAG, embeddings) Experience with cloud platforms (AWS, Azure ...

experience in ML/AI roles, with at least 2+ years building with LLMs/SLMs Strong experience in Deep Learning & Natural Language Processing (PyTorch, or TensorFlow) Hands-on experience with fine-tuning foundation models (LLaMA, Mistral, GPT-like models) and deploying inference pipelines. Proficiency with Hugging Face and popular ...

work in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation ...

learning, deep learning, and NLP Hands-on experience with LLMs/Generative AI (e.g., GPT, Llama) Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-learn Experience with cloud platforms (AWS, Azure, or GCP AI services) Strong knowledge of data engineering (ETL pipelines, data lakes, streaming) Experience with ...

models, or LLM-based analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic and/or AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow ...

relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. ...

through metrics like Character Error Rate (CER) and Word Error Rate (WER) is also crucial. Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). Understanding of ML architectures, hyperparameter tuning, and performance optimisation. Experience with MLOps tools and CI/CD pipelines. Familiarity with data engineering concepts ...

with emerging machine learning technologies and best practices Skills and Experience • Strong programming skills in Python • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn • Experience working with SQL and large datasets • Familiarity with data pipelines, feature engineering, and model optimisation • Understanding of MLOps practices, model deployment ...

into domain-specific use cases Retrieval-Augmented Generation (RAG) fundamentals and context engineering Hands-on or strong exposure to Python and common AI libraries (PyTorch, TensorFlow). Familiarity with: LLMs (OpenAI, Anthropic, Hugging Face, LLaMA models) Vector databases (Pinecone, Weaviate, FAISS , Qudrant) Agentic AI frameworks (exposure to LangGraph, AutoGen, CrewAI ...

consulting incl software development with a strong track record of delivering business value Proficiency in Python and ML/DL frameworks (e.g., scikit-learn, PyTorch, TensorFlow) Experience with AI/ML tools (e.g., Jupyter, MLflow, Vertex AI, Azure ML, Amazon SageMaker Experience of creating delivery client-facing proof of concepts ...

consulting incl software development with a strong track record of delivering business value Proficiency in Python and ML/DL frameworks (e.g., scikit-learn, PyTorch, TensorFlow) Experience with AI/ML tools (e.g., Jupyter, MLflow, Vertex AI, Azure ML, Amazon SageMaker Experience of creating delivery client-facing proof of concepts ...

Significant experience building, training and deploying machine learning models Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow Experience working with large-scale unstructured data Experience building and deploying production-ready NLP systems Familiarity with API integrations and data acquisition pipelines ...

BI. Published work, patents or conference presentations related to AI or data science in finance. Technical Skills Programming: Python (pandas, scikit‐learn, TensorFlow/PyTorch), R, SQL, Jupyter notebooks and version control (Git). Machine Learning: regression, classification, clustering, tree‐based models, neural networks, MLOps practices and model deployment. Data ...

pipelines and manage model deployment using Kubernetes/OpenShift and MLOps principles. Technical Requirements Core Programming: Expert-level Python (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow, FastAPI, LangChain, LlamaIndex). Generative AI: Deep experience with LLMs (Gemini, OpenAI, Claude, Llama) and evaluating model safety/performance via Guardrails. Data Science ...

data workflows for maximum scalability and cost-efficiency. Insurance Domain experience is added advantage. Your Technical Toolkit AI/ML: Expert proficiency in Python , PyTorch/TensorFlow, and GenAI frameworks like LangChain, LlamaIndex, or CrewAI . Data Architecture: Hands-on experience with Vector Databases (e.g., Pinecone, Milvus, Weaviate ...

data workflows for maximum scalability and cost-efficiency. Insurance Domain experience is added advantage. Your Technical Toolkit AI/ML: Expert proficiency in Python , PyTorch/TensorFlow, and GenAI frameworks like LangChain, LlamaIndex, or CrewAI . Data Architecture: Hands-on experience with Vector Databases (e.g., Pinecone, Milvus, Weaviate ...

. Published research, patents, or conference presentations in AI or data science related to finance. Technical Skills Programming: Python (pandas, scikit‐learn, TensorFlow/PyTorch), R, SQL, notebooks, Git. Machine Learning: regression, classification, clustering, tree‐based models, neural networks; MLOps, model deployment, automated testing. Data Platforms: relational databases, NoSQL, time ...

core data science libraries: Pandas, NumPy, and SciPy . Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch . Statistics & Math: Strong foundation in statistical modeling , probability, hypothesis testing, regression analysis, and multivariate calculus/linear algebra for understanding model mechanics. Databases & Querying ...

such as SageMaker, Bedrock, and vector databases (OpenSearch). Strong understanding of machine learning algorithms, NLP concepts, and deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face. If you are interested in getting more information about this opportunity, please contact Irina Rozenberg at your earliest convenience. At Ariel Partners ...

such as matplotlib, seaborn, ploty, ggplot2; JavaScript frameworks such as D3 3) 3 years of experience with Python (NumPy, SciPy, Pandas, SciKitlearn, TensorFlow/PyTorch/MXNet) 4) 3 years of Machine Learning experience: supervised learning (regression), supervised learning (classification) The pay range for this position in New York ...

learning solutions for personalizing recommendations. Hands-on experience building training frameworks and/or serving large-scale models using tools such as Tensorflow or PyTorch is a plus. You stay up-to-date with the state-of-the-art open source infrastructure solutions applicable to designing and improving large scale ...

technologies and Semantic Search techniques & tools. Experience in writing robust and efficient code in Python. Experience in using tools relevant to deep learning like PyTorch, TensorFlow, LangChain. Experience in designing & implementing key MLOps capabilities & frameworks in delivering robust train, test, monitor and improve lifecycles for AI/ML model deployments. ...

technologies and Semantic Search techniques & tools. Experience in writing robust and efficient code in Python. Experience in using tools relevant to deep learning like PyTorch, TensorFlow, LangChain. Experience in designing & implementing key MLOps capabilities & frameworks in delivering robust train, test, monitor and improve lifecycles for AI/ML model deployments. ...

selecting appropriate modeling approaches for each. Strong proficiency in Python and SQL, with hands‐on experience using major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit‐learn) for model development and evaluation. Deep understanding of machine learning algorithms, model evaluation techniques (e.g., AUC, lift, calibration, stability), and data pipeline development ...