176 to 200 of 226 Azure Machine Learning Jobs

Scientist Salary: £50,000 - £57,000 Location: Birmingham - Hybrid working 1-2 days a month on site About You: Technical Skills: Expertise in machine learning (supervised, unsupervised, reinforcement learning). Strong proficiency in Databricks, Azure ML, Azure Data … Factory, and SQL. Hands-on experience in Python, R, and experience with deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Expert-level experience in Power BI for advanced visualisations, ML model interpretation, and KPI tracking. Deep knowledge of feature engineering, model deployment, and MLOps best practices. More ❯

Scientist Salary: £50,000 - £57,000 Location: Birmingham - Hybrid working 1-2 days a month on site About You: Technical Skills: Expertise in machine learning (supervised, unsupervised, reinforcement learning). Strong proficiency in Databricks, Azure ML, Azure Data … Factory, and SQL. Hands-on experience in Python, R, and experience with deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Expert-level experience in Power BI for advanced visualisations, ML model interpretation, and KPI tracking. Deep knowledge of feature engineering, model deployment, and MLOps best practices. More ❯

AI Scientist – Computational Chemistry & Machine Learning A technology-driven company at the forefront of scientific innovation is seeking an AI Scientist with expertise in computational chemistry and applied machine learning to help develop transformative tools for drug discovery and partner success. Key … Preferred Experience Expertise in one or more of the following areas: Artificial Intelligence : Experience with GNNs , transformers , generative models , Gaussian processes , or reinforcement learning . Cheminformatics : Familiarity with chemical data formats , reaction prediction , and tools such as RDKit or OpenEye . Quantum Mechanics : Practical use of QM methods … Experience curating and processing data from diverse sources; exposure to Apache Spark or Hadoop is beneficial. Cloud Platforms : Proficiency with AWS , GCP , or Azure . ML Frameworks : Hands-on with scikit-learn , TensorFlow , PyTorch , or related libraries. More ❯

on practitioners, ready to deliver POC and short-term pre-sales engagements. The Senior Data Scientist has a strong understanding of statistics and machine learning, with a proven track record of applying this knowledge at scale to generate business benefits. They are curious, a natural problem … such as IoT and sensor data. Understanding of PMML and ONNX model portability standards. Experience with Teradata partner’s analytical products, cloud services like AzureML and Sagemaker, and tools such as Dataiku and H2O. Strong programming skills in at least one major analytic language or tool, in addition to SQL. … What You’ll Bring Expertise in Data Science with a solid background in statistics, analytics, and machine learning, and at least 5 years of real-world experience. Passion for knowledge sharing and commitment to continuous professional development. Belief in Teradata's analytic solutions and a commitment More ❯

to deliver POC and short-term pre-sales engagements. The Senior Data Scientist has an excellent theoretical and practical understanding of statistics and machine learning and has a strong track record of applying this understanding at scale to drive business benefit. They are insanely curious and … and sensor data. Understand the PMML and ONNX model portability standards Have experience with Teradata partner’s analytical products, Cloud Service providers such as AzureML and Sagemaker and partner products such asDataiku and H2O Have strong hands-on programming skills in at least one major analytic programming language and/… in addition to SQL What You’ll Bring An expertise in Data Science with a strong theoretical grounding in statistics, advanced analytics, and machine learning and at least 5 years real-world experience in the application of advanced analytics. A passion about knowledge sharing and demonstrate More ❯

to deliver POC and short-term pre-sales engagements. The Senior Data Scientist has an excellent theoretical and practical understanding of statistics and machine learning and has a strong track record of applying this understanding at scale to drive business benefit. They are insanely curious and … and sensor data. Understand the PMML and ONNX model portability standards. Have experience with Teradata partner's analytical products, Cloud Service providers such as AzureML and Sagemaker and partner products such as Dataiku and H2O. Have strong hands-on programming skills in at least one major analytic programming language and … in addition to SQL. What You'll Bring An expertise in Data Science with a strong theoretical grounding in statistics, advanced analytics, and machine learning and at least 5 years real-world experience in the application of advanced analytics. A passion about knowledge sharing and demonstrate More ❯

to deliver POC and short-term pre-sales engagements. The Senior Data Scientist has an excellent theoretical and practical understanding of statistics and machine learning and has a strong track record of applying this understanding at scale to drive business benefit. They are insanely curious and … and sensor data. Understand the PMML and ONNX model portability standards. Have experience with Teradata partner's analytical products, Cloud Service providers such as AzureML and Sagemaker and partner products such as Dataiku and H2O. Have strong hands-on programming skills in at least one major analytic programming language and … in addition to SQL. What You'll Bring An expertise in Data Science with a strong theoretical grounding in statistics, advanced analytics, and machine learning and at least 5 years real-world experience in the application of advanced analytics. A passion about knowledge sharing and demonstrate More ❯

box performance at scale Leveraging expert-labelled datasets to build high-accuracy visual models Building and optimising workflows in Azure Machine Learning (AML) for both dev and prod Develop and execute best practices for experimentation enabling the team to make data informed decisions … to production deployment Were looking for: 4+ years in applied data science with a proven record of delivering value Hands-on experience with Azure , yolo , and OpenCV Proven track record training custom image models on real-world datasets Experience deploying to Azure ML production More ❯

hands-on practitioners, ready to deliver POC and short-term pre-sales engagements. They possess excellent theoretical and practical knowledge of statistics and machine learning, with a proven track record of applying this knowledge at scale to generate business benefits. They are naturally curious, effective problem … scale, such as IoT and sensor data. Understanding of PMML and ONNX model portability standards. Experience with Teradata partner analytics products, cloud services like AzureML and Sagemaker, and partner tools such as Dataiku and H2O. Strong programming skills in at least one major analytic language or tool besides SQL. What … You’ll Bring Expertise in Data Science with a solid grounding in statistics, advanced analytics, and machine learning, along with at least 5 years of practical experience. A passion for knowledge sharing and ongoing professional development. A commitment to Teradata's analytic solutions and collaborating with More ❯

progress and address feedback effectively. Keeping up to date with changes/developments in Data & AI technologies and industry best practices, through self-learning, training and research. Essential Experience in presales, customer engagement, and proposal development Experience in Data & AI architecture and solution design Experience working for a … consultancy or agency Experience with data engineering tools (SQL, Python, Spark) Hands-on experience with cloud platforms (Azure, AWS, GCP) Hands-on experience with data platforms (Azure Synapse, Databricks, Snowflake) Ability to translate clients business needs into technical solutions Ability to attend & contribute to … ai artificial intelligence presales pre-sales pre sales client customer remote hybrid Nottingham Nottinghamshire Microsoft fabric dynamics azure aws mi machine learning agile Devops consultant consultancy agency More ❯

progress and address feedback effectively. Keeping up to date with changes/developments in Data & AI technologies and industry best practices, through self-learning, training and research. Essential Experience in presales, customer engagement, and proposal development Experience in Data & AI architecture and solution design Experience working for a … consultancy or agency Experience with data engineering tools (SQL, Python, Spark) Hands-on experience with cloud platforms (Azure, AWS, GCP) Hands-on experience with data platforms (Azure Synapse, Databricks, Snowflake) Ability to translate clients business needs into technical solutions Ability to attend & contribute to … ai artificial intelligence presales pre-sales pre sales client customer remote hybrid Nottingham Nottinghamshire Microsoft fabric dynamics azure aws mi machine learning agile Devops consultant consultancy agency JBRP1_UKTJ More ❯

progress and address feedback effectively. Keeping up to date with changes/developments in Data & AI technologies and industry best practices, through self-learning, training and research. Essential Experience in presales, customer engagement, and proposal development Experience in Data & AI architecture and solution design Experience working for a … consultancy or agency Experience with data engineering tools (SQL, Python, Spark) Hands-on experience with cloud platforms (Azure, AWS, GCP) Hands-on experience with data platforms (Azure Synapse, Databricks, Snowflake) Ability to translate clients business needs into technical solutions Ability to attend & contribute to … ai artificial intelligence presales pre-sales pre sales client customer remote hybrid Nottingham Nottinghamshire Microsoft fabric dynamics azure aws mi machine learning agile Devops consultant consultancy agency JBRP1_UKTJ More ❯

extraordinary staff retention and longevity, andare responsible for one of Europes most innovative data science healthcare platforms. Their Azure-hosted machine learning platform fosters R+D and collaboration between people from all areas of healthcare, across the globe. It underpins ground-breaking research into … To be considered you will have experience in: Python - this team works predominantly in Python JavaScript Python - APIs built in Python Cloud Computing (Azure) Kubernetes Linux/Unix Ruby - preference for those with knowledge of Ruby Their process is well-regarded and provides a two-way street More ❯

retention and longevity, and are responsible for one of Europe’s most innovative data science healthcare platforms. Their Azure-hosted machine learning platform fosters R+D and collaboration between people from all areas of healthcare, across the globe. It underpins ground-breaking research into … To be considered you will have experience in: Python - this team works predominantly in Python JavaScript Python - APIs built in Python Cloud Computing (Azure) Kubernetes Linux/Unix Ruby - preference for those with knowledge of Ruby Their process is well-regarded and provides a two-way street More ❯

diverse team, passionate about great technology applied creatively to solve complex business problems. We are a motivated team that is committed to lifelong learning and improving, both in and out of the office. We strive to be flexible and adaptable to change both in how we execute projects … with HTML/CSS/JS and frameworks like React. Familiarity with AI technologies (e.g., GenAI, Azure/OpenAI APIs, Machine Learning) and digital advertising. Proven ability to collaborate with vendor teams and deliver high-quality results, with curiosity about Disney’s innovative More ❯

databases. Strong problem-solving, communication, and leadership skills. Preferred Skills: Experience with cloud platforms (e.g., AWS, Azure). Knowledge of machine learning techniques. Understanding of FX markets and instruments. Experience in end-to-end data product lifecycle management. This is a fantastic opportunity More ❯

databases. Strong problem-solving, communication, and leadership skills. Preferred Skills: Experience with cloud platforms (e.g., AWS, Azure). Knowledge of machine learning techniques. Understanding of FX markets and instruments. Experience in end-to-end data product lifecycle management. This is a fantastic opportunity More ❯

databases. Strong problem-solving, communication, and leadership skills. Preferred Skills: Experience with cloud platforms (e.g., AWS, Azure). Knowledge of machine learning techniques. Understanding of FX markets and instruments. Experience in end-to-end data product lifecycle management. This is a fantastic opportunity More ❯

management practices and the adoption of new technologies. Experience with cloud-based data platforms (e.g., AWS, Azure). Knowledge of machine learning techniques and their application in data analysis. Understanding of Foreign Exchange markets and related financial instruments. Familiarity with data product ownership More ❯

Data Science Engineers to come in on a contract basis. Key Skills/Requirements: Must have Azure AI Experience & Machine Learning, NLP, Statistical Data Analysis Python experience SQL experience Familiar with MLOps Financial Services experience Contract is running until the end of More ❯

Data Science Engineers to come in on a contract basis. Key Skills/Requirements: Must have Azure AI Experience & Machine Learning, NLP, Statistical Data Analysis Python experience SQL experience Familiar with MLOps Financial Services experience Contract is running until the end of More ❯

Location: Remote/Hybrid Job Type: Full-time About the Role Chapter 2 is working with a leading creative agency to develop scalable machine learning platforms for AI-driven content creation. This role is perfect for an MLOps + DevOps Engineer who thrives in fast-paced … infrastructure, or MLOps roles. Proven expertise in building and maintaining ML platforms at scale. Hands-on experience with cloud platforms (AWS, GCP, or Azure) for ML workloads. Strong proficiency with Docker, Kubernetes, and infrastructure automation (Terraform, CloudFormation). Solid programming skills in Python and familiarity with ML More ❯

Location: Remote/Hybrid Job Type: Full-time About the Role Chapter 2 is working with a leading creative agency to develop scalable machine learning platforms for AI-driven content creation. This role is perfect for an MLOps + DevOps Engineer who thrives in fast-paced … infrastructure, or MLOps roles. Proven expertise in building and maintaining ML platforms at scale. Hands-on experience with cloud platforms (AWS, GCP, or Azure) for ML workloads. Strong proficiency with Docker, Kubernetes, and infrastructure automation (Terraform, CloudFormation). Solid programming skills in Python and familiarity with ML More ❯

and/or training lifecycle (LLMops). Fluency in English and in French or Dutch Cloud Expertise: Strong knowledge of cloud platforms, especially Azure (Azure ML, Vertex AI, Databricks, Azure OpenAI, etc.). LLM Libraries: Deep expertise with Python libraries such More ❯

continuity within financial services or a regulated environment. Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and …/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow, Azure ML, SageMaker, Databricks, Python etc). Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ML, data science, or software More ❯