building new data platforms/solutions as required to exceed business requirements. A thorough understanding of the Python programming language and associated machine learning libraries/packages (sklearn, TensorFlow, PyTorch, statsmodels, etc.). Experience in multiple tools/language/frameworks within the Big Data & cloud ecosystem (Hadoop, MongoDB, Neo4j, Spark, Hive, HBase, Cassandra, etc.). Demonstrated experience of managing More ❯
in developing and deploying machine learning models in a production environment. Strong programming skills in Python and experience with relevant machine learning libraries and frameworks such as TensorFlow, Keras, PyTorch, scikit-learn, etc. Solid understanding of machine learning algorithms (e.g., regression, classification, clusting, dimensionality reduction, deep learning architectures). Experience with data preprocessing, feature engineering, and data visualization techniques. Familiarity More ❯
advanced and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. Experience in AI, Python programming, and deep learning frameworks, including PyTorch, MXNet, TensorFlow, or Keras, and big data technologies Experience with developing Natural Language Processing (NLP), Large Language Model (LLM), and Retrieval-Augmented Generation (RAG) enabled solutions Experience in working with More ❯
Master's degree in Computer Science, AI, Data Science, or related field. Strong programming skills in Python (preferred), JavaScript, or Java. Experience with ML/DL frameworks like TensorFlow, PyTorch, or scikit-learn. Familiarity with web technologies: REST APIs, HTML/CSS, JavaScript frameworks (React, Angular, etc.). Understanding of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). More ❯
and deploying AI/ML models in a production environment. Proficiency in programming languages such as Python, Java, or C++. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with data processing tools and platforms (e.g., SQL, Apache Spark, Hadoop). Knowledge of cloud computing services (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g. More ❯
collaboration skills Full right to 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 (e.g. Docker) Benefits: 💰 Competitive Salary More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
collaboration skills Full right to 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 (e.g. Docker) Benefits: 💰 Competitive Salary More ❯
london, south east england, united kingdom Hybrid / WFH Options
Intellect Group
collaboration skills Full right to 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 (e.g. Docker) Benefits: 💰 Competitive Salary More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Intellect Group
collaboration skills Full right to 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 (e.g. Docker) Benefits: 💰 Competitive Salary More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Intellect Group
collaboration skills Full right to 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 (e.g. Docker) Benefits: 💰 Competitive Salary More ❯
a related field. 6+ years of experience in ML Engineering or Data Science (finance, fintech, or treasury a plus). Proficiency in Python-including pandas, scikit learn, TensorFlow/PyTorch, LightGBM/XGBoost-and experience with SQL. Hands on experience with cloud ML platforms (AWS SageMaker, Azure ML, or Google AI Platform). Solid understanding of software engineering fundamentals: version More ❯
customer workflows and business processes with AI solutions. • Strong foundations in data structures, data modeling, and software architecture. • In-depth experience with machine learning tools and frameworks such as PyTorch and TensorFlow (plus common libraries like scikit-learn). • Extensive mathematics and computer science skills, with deep understanding of probability, statistics, and algorithms. • Proficiency in AI/ML-oriented programming More ❯
or a related field. PhD is a plus. 8+ years of experience in machine learning, data science, or AI engineering. Proficient in Python and libraries like Scikit-learn, TensorFlow, PyTorch, XGBoost, etc. Strong understanding of machine learning algorithms, deep learning architectures, and statistical methods. Hands-on experience building and deploying ML models in cloud environments (GCP, AWS, or Azure Experience More ❯
framework. Experience working with NATO Interoperability Standards and Profiles (NISP) Five plus years of experience in data science with focus on spatiotemporal analytics. Experience with deep learning frameworks (TensorFlow, PyTorch) applied to spatiotemporal problems. Knowledge of remote sensing data analysis and satellite imagery processing. Experience with cloud platforms (AWS, GCP, Azure) and distributed computing frameworks (Spark, Dask). Experience with More ❯
customer workflows and business processes with AI solutions. • Strong knowledge of data structures data modeling and software architecture. • In depth experience with machine learning tools and frameworks such as PyTorch TensorFlow and scikit learn and modern NLP libraries. • Extensive mathematics and computer science foundations with deep understanding of probability statistics and algorithms. • Proficiency in Python Java and C plus plus More ❯
and technologies across our products. For this role, we're looking for: Strong Python proficiency with hands-on experience in AI/ML frameworks including RAG, LangChain, TensorFlow, and PyTorch Practical experience with Generative AI and exposure to leading LLM platforms (Anthropic, Meta, Amazon , OpenAI) Proficiency with essential data science libraries including Pandas, NumPy, scikit-learn, Plotly/Matplotlib, and More ❯
associated concepts, such as transformer architecture and retrieval augmented generation. Strong programming ability with demonstrated experience in Python and one or more associated machine learning frameworks, such as TensorFlow, PyTorch, or SKLearn. Knowledge of and experience working with open-source AI models. Demonstrated ability to perform the essential duties of the position with or without accommodation. Authorization to work in More ❯
natural language processing or other 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. Proven experience with modern engineering More ❯
City of London, London, United Kingdom Hybrid / WFH Options
KPMG UK
natural language processing or other 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. Proven experience with modern engineering More ❯
london, south east england, united kingdom Hybrid / WFH Options
KPMG UK
natural language processing or other 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. Proven experience with modern engineering More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
KPMG UK
natural language processing or other 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. Proven experience with modern engineering More ❯
slough, south east england, united kingdom Hybrid / WFH Options
KPMG UK
natural language processing or other 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. Proven experience with modern engineering More ❯
