are to develop a theoretical framework and a multi-agent workflow for refactoring textual systems engineering specifications. This involves defining specialized agent roles, implementing a prototype using Python and NLP techniques, and demonstrating the system's ability to enhance requirement clarity, ensure traceability, derive functional breakdowns, and reorganize specifications accordingly. Your location Our site is just a stone's throw … or a related field (d/f/m) Strong interest in requirements engineering and model-based systems engineering (MBSE). Knowledge in NaturalLanguageProcessing (NLP) and Large Language Models (LLMs), familiarity with multi-agent systems or a willingness to learn, skills in Python Ability to work independently, think critically, and structure academic research Fluent More ❯
compliance team, focusing on regulatory adherence and automation of controls within the banking sector. You will be responsible for designing, developing, and deploying AI-powered systems, specifically leveraging Large Language Models (LLMs) on Google Cloud, to detect, interpret, and respond to changes in regulatory policies, ensuring that the controls remain current and effective. Key Responsibilities: Develop and implement AI … Proven experience in developing and deploying AI/ML solutions, with specific expertise in Large Language Models (e.g., GPT, PaLM, BERT) and NaturalLanguageProcessing (NLP). Hands-on experience with Google Cloud Platform (GCP) services, such as Vertex AI, BigQuery, Cloud Functions, and Cloud Storage. Strong programming skills in Python (preferred), Java, or similar languages More ❯
compliance team, focusing on regulatory adherence and automation of controls within the banking sector. You will be responsible for designing, developing, and deploying AI-powered systems, specifically leveraging Large Language Models (LLMs) on Google Cloud, to detect, interpret, and respond to changes in regulatory policies, ensuring that the controls remain current and effective. Key Responsibilities: Develop and implement AI … Proven experience in developing and deploying AI/ML solutions, with specific expertise in Large Language Models (e.g., GPT, PaLM, BERT) and NaturalLanguageProcessing (NLP). Hands-on experience with Google Cloud Platform (GCP) services, such as Vertex AI, BigQuery, Cloud Functions, and Cloud Storage. Strong programming skills in Python (preferred), Java, or similar languages More ❯
compliance team, focusing on regulatory adherence and automation of controls within the banking sector. You will be responsible for designing, developing, and deploying AI-powered systems, specifically leveraging Large Language Models (LLMs) on Google Cloud, to detect, interpret, and respond to changes in regulatory policies, ensuring that the controls remain current and effective. Key Responsibilities: Develop and implement AI … Proven experience in developing and deploying AI/ML solutions, with specific expertise in Large Language Models (e.g., GPT, PaLM, BERT) and NaturalLanguageProcessing (NLP). Hands-on experience with Google Cloud Platform (GCP) services, such as Vertex AI, BigQuery, Cloud Functions, and Cloud Storage. Strong programming skills in Python (preferred), Java, or similar languages More ❯
london (city of london), south east england, united kingdom
Tata Consultancy Services
compliance team, focusing on regulatory adherence and automation of controls within the banking sector. You will be responsible for designing, developing, and deploying AI-powered systems, specifically leveraging Large Language Models (LLMs) on Google Cloud, to detect, interpret, and respond to changes in regulatory policies, ensuring that the controls remain current and effective. Key Responsibilities: Develop and implement AI … Proven experience in developing and deploying AI/ML solutions, with specific expertise in Large Language Models (e.g., GPT, PaLM, BERT) and NaturalLanguageProcessing (NLP). Hands-on experience with Google Cloud Platform (GCP) services, such as Vertex AI, BigQuery, Cloud Functions, and Cloud Storage. Strong programming skills in Python (preferred), Java, or similar languages More ❯
compliance team, focusing on regulatory adherence and automation of controls within the banking sector. You will be responsible for designing, developing, and deploying AI-powered systems, specifically leveraging Large Language Models (LLMs) on Google Cloud, to detect, interpret, and respond to changes in regulatory policies, ensuring that the controls remain current and effective. Key Responsibilities: Develop and implement AI … Proven experience in developing and deploying AI/ML solutions, with specific expertise in Large Language Models (e.g., GPT, PaLM, BERT) and NaturalLanguageProcessing (NLP). Hands-on experience with Google Cloud Platform (GCP) services, such as Vertex AI, BigQuery, Cloud Functions, and Cloud Storage. Strong programming skills in Python (preferred), Java, or similar languages More ❯
compliance team, focusing on regulatory adherence and automation of controls within the banking sector. You will be responsible for designing, developing, and deploying AI-powered systems, specifically leveraging Large Language Models (LLMs) on Google Cloud, to detect, interpret, and respond to changes in regulatory policies, ensuring that the controls remain current and effective. Develop and implement AI solutions using … Proven experience in developing and deploying AI/ML solutions, with specific expertise in Large Language Models (e.g., GPT, PaLM, BERT) and NaturalLanguageProcessing (NLP). Hands-on experience with Google Cloud Platform (GCP) services, such as Vertex AI, BigQuery, Cloud Functions, and Cloud Storage. Strong programming skills in Python (preferred), Java, or similar languages More ❯
Karlsruhe, Baden-Württemberg, Germany Hybrid / WFH Options
Cinemo GmbH
tools such as Spark or Apache Beam and experience in designing, executing, and analyzing A/B tests Ability to develop and optimize ETL pipelines for large-scale data processing Solid understanding of causal inference … time series forecasting, and statistical modeling Hands-on experience with cloud computing platforms (e.g., AWS, GCP, Azure) and big data tools Knowledge in naturallanguageprocessing (NLP), reinforcement learning, and graph analytics is preferable Responsibilities: Position Description As a Senior Data Scientist at Cinemo, you will drive data-driven decision-making through cross-functional collaboration on several … of innovation and excellence Partner with machine learning engineers, product managers, and executives to translate data insights into tangible business and product improvements Develop scalable algorithms and automated data processing frameworks to optimize analytics workflows Technologies: AI AWS Azure Big Data Cloud ETL GCP Support Machine Learning Network PyTorch Python SQL Spark TensorFlow More: International crossfunctional teams working on More ❯
degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to naturallanguageprocessing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile/Scrum environments. Contract Details Location: Hybrid – London (onsite 2–3 days per week) Type: Day-rate contract (Outside/ More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Experis UK
degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to naturallanguageprocessing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile/Scrum environments. Contract Details Location: Hybrid – London (onsite 2–3 days per week) Type: Day-rate contract (Outside/ More ❯
london, south east england, united kingdom Hybrid / WFH Options
Experis UK
degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to naturallanguageprocessing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile/Scrum environments. Contract Details Location: Hybrid – London (onsite 2–3 days per week) Type: Day-rate contract (Outside/ More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Experis UK
degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to naturallanguageprocessing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile/Scrum environments. Contract Details Location: Hybrid – London (onsite 2–3 days per week) Type: Day-rate contract (Outside/ More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Experis UK
degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to naturallanguageprocessing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile/Scrum environments. Contract Details Location: Hybrid – London (onsite 2–3 days per week) Type: Day-rate contract (Outside/ More ❯
to solve our clients' use cases. Successful candidates will be an expert in using state-of the-art technologies such as computer vision, naturallanguageprocessing (NLP), time-series analysis, graph neural networks, and other AI/ML subdomains to solve complex business problems across diverse applications in healthcare, diagnostics, hospital operations, and more. Join us to … in data science, data engineering, software engineering, or MLOps 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision, to graph models 6+ years of experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.) 6+ More ❯
to solve our clients' use cases. Successful candidates will be an expert in using state-of the-art technologies such as computer vision, naturallanguageprocessing (NLP), time-series analysis, graph neural networks, and other AI/ML subdomains to solve complex business problems across diverse applications in healthcare, diagnostics, hospital operations, and more. Join us to … in data science, data engineering, software engineering, or MLOps 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision, to graph models 6+ years of experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.) 6+ More ❯
to solve our clients' use cases. Successful candidates will be an expert in using state-of the-art technologies such as computer vision, naturallanguageprocessing (NLP), time-series analysis, graph neural networks, and other AI/ML subdomains to solve complex business problems across diverse applications in healthcare, diagnostics, hospital operations, and more. Join us to … in data science, data engineering, software engineering, or MLOps 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision, to graph models 6+ years of experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.) 6+ More ❯
to solve our clients' use cases. Successful candidates will be an expert in using state-of the-art technologies such as computer vision, naturallanguageprocessing (NLP), time-series analysis, graph neural networks, and other AI/ML subdomains to solve complex business problems across diverse applications in healthcare, diagnostics, hospital operations, and more. Join us to … in data science, data engineering, software engineering, or MLOps 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision, to graph models 6+ years of experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.) 6+ More ❯
to solve our clients' use cases. Successful candidates will be an expert in using state-of the-art technologies such as computer vision, naturallanguageprocessing (NLP), time-series analysis, graph neural networks, and other AI/ML subdomains to solve complex business problems across diverse applications in healthcare, diagnostics, hospital operations, and more. Join us to … in data science, data engineering, software engineering, or MLOps 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision, to graph models 6+ years of experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.) 6+ More ❯
to solve our clients' use cases. Successful candidates will be an expert in using state-of the-art technologies such as computer vision, naturallanguageprocessing (NLP), time-series analysis, graph neural networks, and other AI/ML subdomains to solve complex business problems across diverse applications in healthcare, diagnostics, hospital operations, and more. Join us to … in data science, data engineering, software engineering, or MLOps 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision, to graph models 6+ years of experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.) 6+ More ❯
to solve our clients' use cases. Successful candidates will be an expert in using state-of the-art technologies such as computer vision, naturallanguageprocessing (NLP), time-series analysis, graph neural networks, and other AI/ML subdomains to solve complex business problems across diverse applications in healthcare, diagnostics, hospital operations, and more. Join us to … in data science, data engineering, software engineering, or MLOps 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision, to graph models 6+ years of experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.) 6+ More ❯
pre-processing, feature engineering, and model evaluation Familiarity with cloud services (AWS, GCP, Azure) and their AI/ML offerings Knowledge of naturallanguageprocessing (NLP) and computer vision is a plus Experience 3+ years in AI, machine learning, or data science roles. Proven track record of deploying AI models into production environments. Experience with data More ❯
using the information), reasoning (using rules to reach approximate or definite conclusions), and self-correction. AI encompasses a broad range of techniques and approaches, including machine learning, neural networks, naturallanguageprocessing, computer vision, robotics, and expert systems, among others. The ultimate goal of AI is to create machines that can perform tasks that typically require human … intelligence, such as understanding naturallanguage, recognizing patterns, making decisions, and solving problems. Authentic Communicator - Expresses ideas and information, both verbally and in writing, clearly and credibly. Listens to understand and fosters constructive dialogue. Big Data Analytics - Knowledge of data analytics frameworks and technologies, such as data lakes, data warehouses, and machine learning, to design architectures that effectively More ❯
using the information), reasoning (using rules to reach approximate or definite conclusions), and self-correction. AI encompasses a broad range of techniques and approaches, including machine learning, neural networks, naturallanguageprocessing, computer vision, robotics, and expert systems, among others. The ultimate goal of AI is to create machines that can perform tasks that typically require human … intelligence, such as understanding naturallanguage, recognizing patterns, making decisions, and solving problems. Authentic Communicator - Expresses ideas and information, both verbally and in writing, clearly and credibly. Listens to understand and fosters constructive dialogue. Big Data Analytics - Knowledge of data analytics frameworks and technologies, such as data lakes, data warehouses, and machine learning, to design architectures that effectively More ❯
using the information), reasoning (using rules to reach approximate or definite conclusions), and self-correction. AI encompasses a broad range of techniques and approaches, including machine learning, neural networks, naturallanguageprocessing, computer vision, robotics, and expert systems, among others. The ultimate goal of AI is to create machines that can perform tasks that typically require human … intelligence, such as understanding naturallanguage, recognizing patterns, making decisions, and solving problems. Authentic Communicator - Expresses ideas and information, both verbally and in writing, clearly and credibly. Listens to understand and fosters constructive dialogue. Big Data Analytics - Knowledge of data analytics frameworks and technologies, such as data lakes, data warehouses, and machine learning, to design architectures that effectively More ❯
using the information), reasoning (using rules to reach approximate or definite conclusions), and self-correction. AI encompasses a broad range of techniques and approaches, including machine learning, neural networks, naturallanguageprocessing, computer vision, robotics, and expert systems, among others. The ultimate goal of AI is to create machines that can perform tasks that typically require human … intelligence, such as understanding naturallanguage, recognizing patterns, making decisions, and solving problems. Authentic Communicator - Expresses ideas and information, both verbally and in writing, clearly and credibly. Listens to understand and fosters constructive dialogue. Big Data Analytics - Knowledge of data analytics frameworks and technologies, such as data lakes, data warehouses, and machine learning, to design architectures that effectively More ❯
