related backgrounds 2 years of programming experience with programming languages such as Python, C++, or Java. 1 years of programming experience with machine learning algorithms and tools (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing. Bonus points if you have 4 years of programming experience with programming languages such as Python, C++, or Java. 2 years … of programming experience with machine learning frameworks (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing. 1 years of experience in conducting research in machine learning, natural language processing or computer vision. Master or PhD in Computer Science, Computer Engineering, Electronic Engineering or related fields Compensation at Accenture varies depending on a wide array of factors, which More ❯
related backgrounds 2 years of programming experience with programming languages such as Python, C++, or Java. 1 years of programming experience with machine learning algorithms and tools (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing. Bonus points if you have 4 years of programming experience with programming languages such as Python, C++, or Java. 2 years … of programming experience with machine learning frameworks (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing. 1 years of experience in conducting research in machine learning, natural language processing or computer vision. Master or PhD in Computer Science, Computer Engineering, Electronic Engineering or related fields Compensation at Accenture varies depending on a wide array of factors, which More ❯
related backgrounds 2 years of programming experience with programming languages such as Python, C++, or Java. 1 years of programming experience with machine learning algorithms and tools (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing. Bonus points if you have 4 years of programming experience with programming languages such as Python, C++, or Java. 2 years … of programming experience with machine learning frameworks (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing. 1 years of experience in conducting research in machine learning, natural language processing or computer vision. Master or PhD in Computer Science, Computer Engineering, Electronic Engineering or related fields Compensation at Accenture varies depending on a wide array of factors, which More ❯
related backgrounds 2 years of programming experience with programming languages such as Python, C++, or Java. 1 years of programming experience with machine learning algorithms and tools (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing. Bonus points if you have 4 years of programming experience with programming languages such as Python, C++, or Java. 2 years … of programming experience with machine learning frameworks (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing. 1 years of experience in conducting research in machine learning, natural language processing or computer vision. Master or PhD in Computer Science, Computer Engineering, Electronic Engineering or related fields Compensation at Accenture varies depending on a wide array of factors, which More ❯
related backgrounds 2 years of programming experience with programming languages such as Python, C++, or Java. 1 years of programming experience with machine learning algorithms and tools (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing. Bonus points if you have 4 years of programming experience with programming languages such as Python, C++, or Java. 2 years … of programming experience with machine learning frameworks (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing. 1 years of experience in conducting research in machine learning, natural language processing or computer vision. Master or PhD in Computer Science, Computer Engineering, Electronic Engineering or related fields Compensation at Accenture varies depending on a wide array of factors, which More ❯
related backgrounds 2 years of programming experience with programming languages such as Python, C++, or Java. 1 years of programming experience with machine learning algorithms and tools (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing. Bonus points if you have 4 years of programming experience with programming languages such as Python, C++, or Java. 2 years … of programming experience with machine learning frameworks (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing. 1 years of experience in conducting research in machine learning, natural language processing or computer vision. Master or PhD in Computer Science, Computer Engineering, Electronic Engineering or related fields Compensation at Accenture varies depending on a wide array of factors, which More ❯
related backgrounds 2 years of programming experience with programming languages such as Python, C++, or Java. 1 years of programming experience with machine learning algorithms and tools (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing. Bonus points if you have 4 years of programming experience with programming languages such as Python, C++, or Java. 2 years … of programming experience with machine learning frameworks (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing. 1 years of experience in conducting research in machine learning, natural language processing or computer vision. Master or PhD in Computer Science, Computer Engineering, Electronic Engineering or related fields Compensation at Accenture varies depending on a wide array of factors, which More ❯
related backgrounds 2 years of programming experience with programming languages such as Python, C++, or Java. 1 years of programming experience with machine learning algorithms and tools (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing. Bonus points if you have 4 years of programming experience with programming languages such as Python, C++, or Java. 2 years … of programming experience with machine learning frameworks (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing. 1 years of experience in conducting research in machine learning, natural language processing or computer vision. Master or PhD in Computer Science, Computer Engineering, Electronic Engineering or related fields Compensation at Accenture varies depending on a wide array of factors, which More ❯
related backgrounds 2 years of programming experience with programming languages such as Python, C++, or Java. 1 years of programming experience with machine learning algorithms and tools (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing. Bonus points if you have 4 years of programming experience with programming languages such as Python, C++, or Java. 2 years … of programming experience with machine learning frameworks (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing. 1 years of experience in conducting research in machine learning, natural language processing or computer vision. Master or PhD in Computer Science, Computer Engineering, Electronic Engineering or related fields Compensation at Accenture varies depending on a wide array of factors, which More ❯
or a related field 12+ years of experience in software engineering, with a focus on machine learning or natural language processing Strong expertise in deep learning frameworks such as tensorFlow, pyTorch, or MXNet Proficiency in programming languages such as python, C++, or java Solid understanding of LLM architectures, training techniques, and evaluation methodologies Familiarity with cloud platforms (e.g., AWS More ❯
London, England, United Kingdom Hybrid / WFH Options
Avanti
tools. Proficiency in programming languages such as Python or Scala. Familiarity with ETL, Data Pipelines, Data Modelling and Data Warehousing (they are using Snowflake) Machine learning expertise (scikit-learn, TensorFlow) Strong communication skills for presenting to different business functions and analysing their needs. Salary: £75,000 - £80,000 + good pension + 25 days holiday + Discretionary bonus + More ❯
and surprise us again, and again. Proven track record delivering impactful ML/AI solutions in production. Deep expertise in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, NumPy, Pandas). Hands-on experience with GenAI, agentic AI, and automated testing for AI systems. Curiosity and creativity to challenge assumptions and explore new approaches. Strong More ❯
Deep understanding of computer vision techniques for detection and localisation. Strong experience working with embedded or constrained compute platforms. Proficiency in Python and major machine learning frameworks (e.g., PyTorch, TensorFlow). Experience with version control (Git), containerisation (Docker), and cloud technologies (e.g., AWS). Experience with building and maintaining end-to-end ML pipelines. Degree (BSc, MSc, or PhD More ❯
experience in React/JavaScript Experience with version control, testing frameworks, and CI/CD pipelines Experience building ML pipelines and deploying models in production Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn) Understanding of LLMs, vector databases, and retrieval systems Experience with Model Context Protocol (MCP) integration and server development Full-Stack Capabilities Experience building web applications with More ❯
Models. Python, Spark, Hadoop, and Docker with an emphasis on good coding practices in a continuous integration context, model evaluation, and experimental design Knowledge of ML frameworks like Scikitlearn, Tensorflow, and Keras. Experience in Pandas, sklearn, Numpy, Scipy Additional Skills Required Knowledge of Database/Data Engineering. Experience with Oracle, Spark, Hadoop, Athena, API, FastAPI, Flask, ReST Knowledge of More ❯
a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field You have strong proficiency in Python, leveraging libraries like Prophet, TensorFlow, Keras, and PyTorch for LSTM, along with expertise in SQL and machine learning frameworks You have hands-on experience with leading time series forecasting techniques, including Prophet, ARIMA, and More ❯
4+ years of experience in building and deploying AI/ML models, preferably in an industrial or manufacturing setting. Strong experience with Python and libraries such as scikit-learn, TensorFlow, or PyTorch. Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps tools (MLflow, Kubeflow, etc.). Experience working with time-series, sensor data, and/or image data More ❯
on scalable deployment What We’re Looking For: 2+ years of experience building and deploying machine learning models Strong programming skills in Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Experience with model evaluation, tuning, and productionisation Exposure to cloud platforms (e.g., Azure, AWS, or GCP) and containerisation tools (e.g., Docker) A collaborative mindset, strong problem-solving skills More ❯
on scalable deployment What We’re Looking For: 2+ years of experience building and deploying machine learning models Strong programming skills in Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Experience with model evaluation, tuning, and productionisation Exposure to cloud platforms (e.g., Azure, AWS, or GCP) and containerisation tools (e.g., Docker) A collaborative mindset, strong problem-solving skills More ❯
on scalable deployment What We’re Looking For: 2+ years of experience building and deploying machine learning models Strong programming skills in Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Experience with model evaluation, tuning, and productionisation Exposure to cloud platforms (e.g., Azure, AWS, or GCP) and containerisation tools (e.g., Docker) A collaborative mindset, strong problem-solving skills More ❯
to date with developments in the ML/AI ecosystem and bring fresh ideas to the table Strong Python skills and experience in ML libraries like scikit-learn, PyTorch, TensorFlow , or XGBoost Hands-on experience building and deploying ML models into production environments Familiarity with ML Ops workflows (e.g., Experience working with structured data (credit, payments, customer behaviour) and More ❯
a related field. Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Transformers. Familiarity with data preprocessing, model evaluation, and deploying models in real-world environments. A passion for AI innovation and a desire to build systems More ❯
AI, particularly in LLM and RAG technologies, with knowledge of LLM Agents, explainable AI and/or graph ML as a plus. Proficiency in Python, PyTorch and/or Tensorflow, and popular data science libraries, as well as development skills with Docker, Linux, GitHub/Gitlab, GPUs, and cloud services. Exposure to knowledge graphs and graph databases such as More ❯
London, England, United Kingdom Hybrid / WFH Options
LinkedIn - Jobboard
science, artificial intelligence, or a related field 5+ years of experience in AI development Strong understanding of AI principles, machine learning algorithms, and natural language processing Experience with Python, TensorFlow, and PyTorch Excellent communication and teamwork skills Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology, Engineering, and Research More ❯
a related field. Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Transformers. Familiarity with data preprocessing, model evaluation, and deploying models in real-world environments. A passion for AI innovation and a desire to build systems More ❯
