18 of 18 Azure Machine Learning Jobs in the South East

Factory (ADF) pipelines, working with SQL Server (designing and populating data schemas), Azure Data Lake, and Power BI, and integrating machine learning and AI models into our data processes. Experience with Azure Synapse Analytics is beneficial as we explore future … performance. ETL Development: Skilled in designing and optimising ETL workflows, with knowledge of best practices for data transformation, validation, and loading. Data Analytics & Machine Learning Power BI: Proficiency in developing, publishing, and managing Power BI reports and dashboards, with strong data visualisation skills. SQL & Data Management … Advanced knowledge of SQL for querying, transforming, and managing data, with hands-on experience in SQL Management Studio. Azure Machine Learning: Some experience desirable in implementing machine learning models within Azure Machine Learning More ❯

Machine Learning and AI Engineering Lead - London Mars is a family-owned business with more than $35 billion in global sales. We produce some of the world’s best-loved brands: M&M’s®, SNICKERS®, TWIX®, MILKY WAY®, DOVE®, PEDIGREE®, ROYAL CANIN®, WHISKAS®, EXTRA®, ORBIT … than ever before, and unlocking efficiencies and automation across our End-To-End Value Chain. Building on this momentum, we are recruiting a Machine Learning and AI Engineering Lead to join our Royal Canin Global Data & Analytics Team who will accelerate the shaping and delivery of … communication skills Working understanding of ML Ops and DevOps frameworks Familiarity with Microsoft Azure tech stack, including but not limited to AzureML, Azure AI Foundry, Databricks What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. More ❯

hands-on, working with our Senior Staff Engineer to provide technical leadership to the team. You'll have great technical understanding of various machine learning approaches, which would include regression methods, probabilistic pricing models, tree based gradient boosting approaches, information theory, neural networks, transfer learning … our experienced MLOps and Data Engineering teams, allowing you more time to focus on model development, research and the implementation of new novel machine learning approaches. Key Responsibilities: Lead the Valuations & Pricing Team ensuring the on-going improvements in KPIs associated with the team's products. … agreeing priorities with stakeholders and the Head of Data Science and enable the team to deliver against agreed targets. Work closely with the Machine Learning Operations team to deliver products to end users, leveraging and contributing to established engineering standards and best practices. Work collaboratively with More ❯

to deliver Data Science solutions Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise … graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex … Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience More ❯

to deliver Data Science solutions Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise … graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex … Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience More ❯

to deliver Data Science solutions Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise … graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex … Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience More ❯

to deliver Data Science solutions Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise … graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex … Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience More ❯

seeking a highly skilled AI Engineer to design, develop, and enhance AI-driven document generation systems using large language models (LLMs) and traditional machine learning algorithms . The ideal candidate will have expertise in AI, natural language processing (NLP), and Python programming , with hands-on experience … proficiency in Streamlit , knowledge of Neo4j, RDF, or OWL , and experience working with Azure cloud services . Key Responsibilities AI & Machine Learning Development: Design, implement, and optimize AI-powered document generation systems using LLMs and ML models. NLP & Data Processing: Develop NLP-driven … Practices: Work closely with cross-functional teams to integrate AI solutions into business workflows. Required Qualifications & Skills Strong experience in AI, NLP, and machine learning algorithms. Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Hugging Face. Hands-on experience with generative AI and LLM More ❯

Data Scientist – AI & Machine Learning | Azure | London | Contract | Hybrid (3 Days Onsite) We’re hiring a Data Scientist on a contract basis to join our Digital Capabilities and Core Platform team in London. You’ll play a key role in driving the migration … of Java applications to the Azure Cloud while delivering high-performance streaming solutions using machine learning and big data technologies. This is a hybrid contract position running until the end of the year , requiring 3 days per week onsite in London and … to develop scalable, cloud-based solutions. What You’ll Bring: Solid experience in Python, SQL, and statistical data analysis. Proven track record in machine learning and NLP. Familiarity with Azure AI & ML, MLOps workflows, and model deployment. Strong communication and problem-solving skills. More ❯

Solutions is partnering with a leading technology team to build a cutting-edge AI Innovation Team, and we are looking for an exceptional Machine Learning Engineer/MLOps Engineer/AIOps Engineer/AI Data Engineer/Data Scientist/Data Science Engineer/Software Engineer … science, data engineering and software engineering, ensuring AI/ML models are successfully built, deployed and scaled. You will work on real-world machine learning applications, leveraging vast datasets and cutting-edge technology to create real business impact. Key Details: Salary : £80,000 – £85,000 + … support this from the off. Key skills desired/what you will be doing: Develop and deploy AL/ML artificial intelligence/machine learning models for large-scale business applications. Build and maintain high-performance data pipelines, integrating structured and unstructured data sources. Take AI More ❯

required. Required Skills Terraform Familiarity with the configuration of Azure data services (e.g. storage accounts, databricks, Azure Machine Learning) Familiarity with the configuration of application related services (e.g. Kubernetes service, web apps, functions) EntraID/permissions Ability to work effectively 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 ❯

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 ❯

with the pragmatism to deliver high-impact solutions. Experience of understanding of modern tech like Cursor AI, LLMs (ChatGPT, Groq or similar) and Azure ML is a bonus. Communication : Fluent in written and oral English. Role Overview : Head of Artificial Intelligence Technology Team: This team will be More ❯

Location: London, Hybrid 💰 Rate: Up to £600 per day 📆 Contract: 6 months (Outside IR35, potential to go perm) 🛠 Tech Stack: Azure Data Factory, Synapse, Databricks, Delta Lake, PySpark, Python, SQL, Event Hub, Azure ML, MLflow We’ve partnered with a new AI-first professional … help shape the data backbone of a next-gen consultancy. What You’ll Be Doing: 🔹 Designing and implementing cloud-native data pipelines using Azure and Databricks 🔹 Building clean, governed data layers for ML, analytics, and application use 🔹 Supporting LLM/AI data workflows through structured and unstructured … Need: ✔ 5+ years in data engineering or backend cloud development ✔ Strong Python, SQL, and Databricks skills (especially PySpark & Delta Lake) ✔ Deep experience with Azure: Data Factory, Synapse, Event Hub, Azure Functions ✔ Understanding of MLOps tooling like MLflow and integration with AI pipelines ✔ Exposure to More ❯

secure data platforms to support business insights, analytics, and other data-driven initiatives. Job Specification ( Technical Skills) : Cloud Platforms: Expert-level proficiency in Azure (Data Factory, Databricks, Spark, SQL Database, DevOps/Git, Data Lake, Delta Lake, Power BI), with working knowledge of Azure WebApp and Networking. Conceptual understanding of Azure AI Services, ML, Unity Catalog, and data catalog technologies such as Purview. Strong proficiency in Azure or Snowflake or AWS or GCP is required. Data Engineering: Advanced proficiency in SQL, Python, and at least … the Five Principles. Join a purpose driven company, where we’re striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. More ❯

the ground up - clean slate. Big purpose: Your work directly improves access to information for underserved communities. Modern stack: Microservices, Python, FastAPI, React, Azure, AI/ML - all in play. Ownership: Shape the architecture and engineering culture from day one. Hybrid freedom: Mostly remote, with occasional travel … accessibility - especially for overlooked communities Our tech stack Frontend & Backend React, Nuxt, JavaScript/TypeScript FastAPI, Node.js REST, CRUD, GraphQL, WebSockets Cloud & Infra Azure (core platform) Microservices architecture CI/CD via GitHub Actions & Azure DevOps Infrastructure as Code: Terraform, Bicep, Pulumi, etc. Databases … Messaging PostgreSQL/MySQL (relational) MongoDB, Redis (NoSQL) Azure Fabric, Data Factory Azure Event Hubs, Kusto QL Tooling & Monitoring Datadog, CircleCI, Prometheus, Grafana Strong focus on observability and fault tolerance Why Join? Mission-driven: Make a meaningful impact on digital accessibility Equity potential if More ❯

the ground up - clean slate. Big purpose: Your work directly improves access to information for underserved communities. Modern stack: Microservices, Python, FastAPI, React, Azure, AI/ML - all in play. Ownership: Shape the architecture and engineering culture from day one. Hybrid freedom: Mostly remote, with occasional travel … in cross-functional teams Tech You'll Work With ML & Data Science Python (primary language) TensorFlow, PyTorch, or Keras NumPy, pandas Data pipelines (Azure Data Factory, Airflow, etc.) Applied ML: NLP, CV, transformers, GANs, time series, etc. Engineering & Cloud Azure (or similar cloud platforms … AWS, GCP) Microservices and event-driven architecture Infrastructure as Code (Terraform, Bicep, Pulumi) DevOps/MLOps: CI/CD workflows, monitoring (Grafana, Prometheus, Azure Monitor) Bonus: Exposure to NVIDIA ML stack, cuDF/cuPy, AR/VR or neuromorphic computing What You'll Get Competitive salary + More ❯