1 to 25 of 36 Remote/Hybrid Azure Machine Learning Jobs

Position Overview We are looking for a highly skilled Senior AI Software Engineer/AI Model Specialist with deep expertise in artificial intelligence, machine learning, and modern software development. The successful candidate will be responsible for designing, developing, training, testing, and optimizing AI models and intelligent … Technologies PyTorch TensorFlow Scikit-learn LangChain Hugging Face OpenAI and Azure OpenAI Services Vector Databases Docker Kubernetes Cloud Platforms Microsoft Azure Azure AI Services Azure Machine Learning AWS or Google Cloud (advantage) Development Practices ...

Machine Learning Engineer - Client facing - 12 months FTC Department: Project Delivery Employment Type: Permanent - Full Time Location: London Description The Machine Learning Engineer role sits within Client Delivery, embedded in the Data & Analytics Consulting (DACs) team. A technical, client‐facing group … Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI This is a 12 months contract with potential to become a perm role afterwards. Key Responsibilities Machine learning and AI engineering Design, train and optimise predictive models ...

Senior Data Scientist – Pricing & Machine Learning****Location:** Leeds, UK (hybrid)**Contract:** Permanent, full-time**Salary:** Competitive**About Protect Group**Protect Group helps businesses improve the customer experience and generate additional revenue through innovative technology. Since 2016, we’ve grown to support more than 400 partners across … fresh thinking and people who take ownership. We move quickly, learn from evidence and work together to solve meaningful problems.**The role**Pricing machine learning sits at the heart of our business. Our pricing engine dynamically sets protection rates across hundreds of partners and millions ...

Machine Learning Engineer role sits within Client Delivery, embedded in the Data & Analytics Consulting (DACs) team. A technical, client‐facing group of Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI. This is a 12 months … contract with potential to become a perm role afterwards. Machine learning and AI engineering Design, train and optimise predictive models (gradient boosted trees, temporal and embedding-based models), with reproducible training, evaluation and monitoring pipelines. Productionise models to run reliably at scale in client environments. Build ...

customer operations teams. Drive adoption of AI and analytics solutions through effective stakeholder management and communication. Solution Development (40%) Design and develop predictive, machine learning, and Generative AI solutions. Build prototypes, proof-of-concepts, and production-ready analytical models. Perform data exploration, feature engineering, model development … governance, and security best practices. Support deployment, monitoring, and continuous improvement of models. Required Experience 10+ years of experience in Data Science, AI, Machine Learning, or Advanced Analytics. Demonstrable experience working within the Insurance industry. Strong understanding of insurance domains such as Claims, Underwriting, Pricing, Risk ...

capability and adoption across the organisation. Hands-On Engineering Get hands-on with code when needed, helping to build and deploy AI, Machine Learning and Generative AI solutions in production environments. Work with modern AI frameworks, LLMs, RAG, prompt engineering and vector databases. Ensure robust MLOps … Experience with Microsoft Azure, including Azure OpenAI, Azure AI Services, Azure Machine Learning and Azure Data Platform technologies. Knowledge of LLMs, RAG, prompt engineering, vector databases and modern AI frameworks. Experience ...

hallucination rates, latency and cost. Integrate AI models into production environments and manage model lifecycle, versioning and observability. Leverage Azure Machine Learning, OpenAI APIs and multi-agentic frameworks (LangChain, AutoGen, CrewAI) to build intelligent, data-driven experiences. Champion the use of modern … Azure - including compute, networking, storage and cost management. Experience with Azure Cloud Services, Azure Machine Learning or equivalent cloud platforms (AWS/GCP). Solid understanding of CI/CD pipelines, Docker, Kubernetes and infrastructure-as-code. ...

practice: Our Data & AI Practice helps organisations unlock the value of their data through modern cloud platforms, data engineering, analytics, artificial intelligence, and machine learning solutions. We work with clients across the public and private sectors to design and deliver data platforms that drive innovation, improve … data platform. In this role, you will build robust data ingestion, transformation, and processing pipelines that enable advanced analytics, artificial intelligence, machine learning, and business intelligence capabilities. Working closely with Data Architects, Data Engineers, Data Analysts, and Solution Architects, you will help deliver trusted ...

practice: Our Data & AI Practice helps organisations unlock the value of their data through modern cloud platforms, data engineering, analytics, artificial intelligence, and machine learning solutions. We work with clients across the public and private sectors to design and deliver data platforms that drive innovation, improve … data platform. In this role, you will build robust data ingestion, transformation, and processing pipelines that enable advanced analytics, artificial intelligence, machine learning, and business intelligence capabilities. Working closely with Data Architects, Data Engineers, Data Analysts, and Solution Architects, you will help deliver trusted ...

meet diverse business needs Job Description As a Senior AI Engineer, you will play a key role in building, deploying, and maintaining machine learning and AI solutions that solve real business problems for our clients. Working alongside senior data scientists, engineers, and consultants, you will contribute … design and implementation of data science and AI solutions, translating defined requirements into working technical components. Modelling & Analysis: Apply established data science and machine learning techniques to analyse data and solve business problems under the guidance of senior team members. Production & MLOps: Build, test, and help ...

meet diverse business needs Job Description As a Senior AI Engineer, you will play a key role in building, deploying, and maintaining machine learning and AI solutions that solve real business problems for our clients. Working alongside senior data scientists, engineers, and consultants, you will contribute … design and implementation of data science and AI solutions, translating defined requirements into working technical components. Modelling & Analysis: Apply established data science and machine learning techniques to analyse data and solve business problems under the guidance of senior team members. Production & MLOps: Build, test, and help ...

align with best practice. Deliver secure and compliant AI engagements: leveraging Agent 365, Azure OpenAI, Azure Machine Learning, and Microsoft Cognitive Services tailored to client business needs. Monitor evolving: data privacy and AI compliance regulations (e.g., GDPR, AI Act, HIPAA … presentation skills to translate technical capabilities into business value. Preferred Certifications: Microsoft Certified: Information Protection and Compliance Administrator Associate (SC-400) Microsoft Certified: Azure AI Engineer Associate (AI-102) Microsoft Certified: Cybersecurity Architect Expert (SC-100) Key Traits & Competencies: Strategic Thinking: Ability to develop long-term Data ...

data ecosystem, including Azure AI Foundry, Azure OpenAI Service, Copilot Studio, Microsoft Fabric, Azure Machine Learning & Azure AI Search. Working knowledge of non‐Microsoft platforms and associated benefits in order to drive the best ...

data ecosystem, including Azure AI Foundry, Azure OpenAI Service, Copilot Studio, Microsoft Fabric, Azure Machine Learning & Azure AI Search. Working knowledge of non‐Microsoft platforms and associated benefits in order to drive the best ...

data ecosystem, including Azure AI Foundry, Azure OpenAI Service, Copilot Studio, Microsoft Fabric, Azure Machine Learning & Azure AI Search. Working knowledge of non‐Microsoft platforms and associated benefits in order to drive the best ...

production. You will be responsible for building and maintaining the backend systems that support the development, testing, deployment, and scaling of our Machine Learning and LLM ‐ based tools, and for helping to transform these into robust, market ‐ ready products. We have ambitious plans to grow … negligence, and with a growing practice in family and private client. Fletchers was one of the first consumer law firms to deploy a machine learning tool for legal work (a decision support system for screening incoming cases, launched ...

build and deploy AI/ML-enabled solutions: Enable feature-ready, governed datasets for data science and integrate with Azure Machine Learning and Fabric experiences to operationalise models and drive business insights.* Design, monitor and optimise data pipelines and platform performance: Use Fabric … Data Factory, Microsoft Fabric (Lakehouse/Warehouse), and strong understanding of data warehousing, dimensional modelling, and lakehouse concepts.* Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage/ADLS Gen2, Microsoft Fabric (OneLake, Workspaces, Capacity), Azure Synapse ...

Principal Solution Architect, Microsoft Azure About the role As a Principal Solution Architect, you will make an impact by shaping enterprise-scale modernization strategies and translating complex business priorities into secure, scalable, and integrated Microsoft Azure solutions. You will be a valued member … Data & AI services including Azure Synapse Analytics, Azure Databricks, Azure Data Lake, machine learning, and applied AI solutions. Experience delivering hybrid and multi-cloud architectures in large enterprise environments. We're excited to meet people ...

insights.* Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices.* Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory.* Azure Data … data lakes on AWS S3 to store and process both structured and unstructured data sets* Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights.* Monitor and optimize data pipelines and infrastructure: Analyze ...

analytics tools. Developing and enhancing data collection procedures to include information that is relevant for building analytic systems, utilising tools such as WhereScape, Azure Synapse, Snowflake, AWS Redshift. Monitoring performance and advising any necessary infrastructure changes, utilising BI tools such as Qlik Sense Cloud … Power BI, or Tableau, as well as the AI, ML, and NL tools available in Fabric. This includes leveraging Azure Machine Learning for predictive analytics. Preparing ad-hoc analysis and presenting results in a clear manner Work with stakeholders and business analysts ...

with relational databases such as SQL Server, Oracle Understanding of various data formats, including CSV, JSON, and XML Experience with cloud platforms, particularly Azure or AWS Strong storytelling and data visualisation skills, including scoping, designing, and delivering engaging client-facing insights using PowerPoint and sustainable dashboards using … processes, including unit, regression and integration testing, and producing high-quality analytical code that is traceable and repeatable Knowledge and experience of machine learning techniques, including supervised ML, unsupervised ML, and LLMs Experience with deployment tools and processes, such as Azure Data Factory ...

/maintain code or infrastructure, as part of the lifecycle management of the Bank systems. Accountabilities & Responsibilities Assists in building AI solutions using Azure AI Services, Prompt Flow, and Azure AI Search (Vector Store). Writes clean, testable code and assists in peer code … degree in Computer Science, Data Science, Engineering, Mathematics or a related technical discipline. Previous experience working with Python.[RT1.1] Demonstrates foundational understanding of machine learning concepts, model lifecycle and data processing principles. Basic understanding of Software Development principles, including writing unit and integration tests. Demonstrates problem ...

Engineer## **About the Role****Lead AI Engineer** We’re seeking a Lead AI Engineer who can design, build, and operationalise advanced AI, Machine Learning, and Generative AI systems at enterprise scale. The focus of this role is to bridge the gap between AI prototypes and embedding … teams to execute complex requirements* Architecting and implementing Generative AI solutions, including RAG pipelines, agentic workflows, and orchestration of large language models across Azure, GCP, or AWS.* Embedding safety, evaluation, and assurance mechanisms across the AI lifecycle, ensuring solutions are ethical, explainable, and responsible.* Collaborating with Product ...

interestedModel Risk ManagementMLOpsModel ValidationSR 11-7Python## Job DescriptionThe ML Model Governance Lead owns the framework, processes and tooling that ensure machine learning models deployed in production are accurate, fair, compliant and monitored — a role that is rapidly becoming mandatory in regulated industries and is emerging … committee: chairing review meetings, escalating high-risk models and producing governance metrics for risk committees and regulators• Build model governance tooling: integrating MLflow, Azure ML or Databricks with governance workflows, automated testing and regulatory reportingRequired Skills & Experience:• 7+ years of model risk management, quantitative risk or ML ...

governance or AI assurance would be beneficial, particularly around training data quality, provenance, bias, model evaluation, monitoring and risk management. Deep hands-on machine learning experience is not required. Exposure to tools such as Microsoft Purview, Collibra, Alation, Databricks, Microsoft Fabric, Azure ML ...