15 of 15 Contract Azure Machine Learning Jobs in the UK

their data and analytics capabilities. You’ll play a key role in designing and delivering advanced data models, integrating new sources of information and applying modern AI and machine learning techniques to solve real-world challenges. This role is ideal for someone who thrives at the intersection of data science, analytics, and public sector transformation, helping … Proven experience in data science and analytics, ideally within government or regulated sectors. Strong proficiency in Python (and/or R) with deep understanding of statistical modelling and machine learning. Experience with Azure Machine Learning (AML), Azure Data Factory, and the broader Azure data ecosystem … Familiarity with modern AI frameworks and open-source toolkits (Desirable). Role and Responsibilities Design and implement data models and pipelines to support advanced analytics and reporting. Apply machine learning, natural language processing (NLP) and AI models to derive meaningful insights from complex datasets. Work closely with Data Engineers, Software Developers and Analysts to build and More ❯

applicable to the role). Proficiency in modern programming languages (e.g., Python). Experience with designing, building, and optimizing scalable, secure, and cost-effective cloud-native applications. Understanding machine learning lifecycle, MLOps principles, and responsible AI/ML practices from an application integration perspective. Experience with database technologies (SQL/NoSQL) and data integration patterns. Familiarity … with cloud services relevant to application development (e.g., Azure Webapps, Azure Functions, Azure API Management, Azure Cosmos DB, Azure Databricks, Azure ML services for model consumption). Good experience in configuring and managing CI/CD pipelines (e.g., Azure … templates ('cookie-cutter' style automation) . Good understanding of containerization technologies (e.g., Docker, Kubernetes). Experience with monitoring and logging tools to manage application and infrastructure health (e.g., Azure Monitoring, Azure AppInsights) Desirable skills/knowledge/experience: Soft Skills: Demonstrated strong analytical and problem-solving abilities focused on application logic and design. Excellent More ❯

initial contract - London/Hybrid Role Purpose We are seeking a skilled Data Specialist to join our transformation programme, focusing on oneAdvanced. This role will leverage data science, machine learning, and advanced analytics to drive insights, automation, and optimisation across Finance, Supply Chain, HR, and Operations functions within oneAdvanced. You will be instrumental in building predictive … and automation capabilities. • Cleanse, transform, and integrate data from oneAdvanced, legacy systems, and external data sources into central data platforms (EDW/Azure). • Implement machine learning use cases such as cashflow forecasting, working capital optimisation, fraud detection, and HR analytics. • Ensure compliance with GDPR, SOX, and internal governance when handling sensitive financial … and HR data. • Support the development of a data-driven culture by mentoring analysts and promoting advanced analytics adoption. Essential Skills & Experience • Proven experience as a Data Specialist, Machine Learning Engineer, or Advanced Data Analyst, preferably in an enterprise oneAdvanced environment. • Strong expertise in Python/R, SQL, XML, Azure ML, and Power More ❯

experienced and innovative Senior Data Scientist to join our global Advanced Analytics team. This is a strategic role focused on designing, developing, and deploying cutting-edge AI and Machine Learning solutions to solve complex challenges across our banking, financial services, and fintech operations. You will be instrumental in driving revenue growth, optimizing risk management, enhancing customer … the entire ML lifecyclefrom problem framing, data exploration, and feature engineering to model training, validation, deployment, and monitoring in production environments. Advanced Algorithm Design: Develop and implement sophisticated machine learning algorithms (e.g., Gradient Boosting, NLP, Deep Learning, Graph Analytics, Reinforcement Learning) for use cases such as fraud detection, credit scoring, algorithmic trading … related). Technical Skills: Programming: Expert proficiency in Python (must-have) and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn). Proficiency in SQL is essential. Machine Learning: Deep, hands-on experience with a wide range of ML techniques (supervised/unsupervised learning, time-series analysis, ensemble methods). Advanced AI: Practical More ❯

the Role We are seeking a highly skilled and security-focused Senior DevSecOps Engineer to build, secure, and optimize the cloud infrastructure that powers our critical AI and Machine Learning initiatives. In this senior role, you will be the bridge between rapid AI development and the stringent security and compliance requirements of the financial industry. You … the integrity, confidentiality, and availability of our models and data. Key Responsibilities Secure MLOps Platform Engineering: Design, implement, and manage secure, automated CI/CD pipelines specifically for machine learning models (MLOps), integrating security checks (SAST, DAST, SCA) and data validation gates. AI/ML Infrastructure Security: Harden and secure the underlying cloud infrastructure for AI …/ML workloads, including GPU clusters, container orchestration (Kubernetes), and managed services (e.g., AWS SageMaker, Azure ML). Security by Design: Embed security controls into every stage of the ML lifecycle (data ingestion, feature store, model training, deployment, monitoring). Implement secrets management, network security (firewalls, VPCs), and identity and access management (IAM) for data and model More ❯

Government agency, working on advanced data and AI-driven solutions to support a mission critical project. This role offers the opportunity to work on cutting-edge initiatives applying Machine Learning, Natural Language Processing, and Large Language Models (LLMs) within a secure environment. Key Skills & Experience: Proven experience as a Data Scientist , ideally in a government or …/ML frameworks (e.g., Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow). Experience developing and fine-tuning LLMs and working with generative AI tools. Hands-on experience with Microsoft Azure (Azure ML, Databricks, or other AI services). Ability to handle, process, and analyse large, complex datasets. Strong understanding of data ethics, governance, and responsible More ❯

Government agency, working on advanced data and AI-driven solutions to support a mission critical project. This role offers the opportunity to work on cutting-edge initiatives applying Machine Learning, Natural Language Processing, and Large Language Models (LLMs) within a secure environment. Key Skills & Experience: Proven experience as a Data Scientist , ideally in a government or …/ML frameworks (e.g., Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow). Experience developing and fine-tuning LLMs and working with generative AI tools. Hands-on experience with Microsoft Azure (Azure ML, Databricks, or other AI services). Ability to handle, process, and analyse large, complex datasets. Strong understanding of data ethics, governance, and responsible More ❯

products using Microsoft Azure ML Studio, Python, and Power BI. You will be involved in business conversations to understand requirements, analyse datasets, estimate and productionise machine learning models, and communicate insights to the business using dashboards and storytelling. Key Responsibilities To support the team deliverables, that utilise your expertise to ensure successful outcomes … across team members and collaborating teams * Understand strategic business initiatives and analytical questions to answer. * Design, develop, test, and deploy data science workflows using Microsoft Azure ML Studio with a Python data science stack. * Ensure high-quality delivery of accurate data science models, and review that proposed solutions meet security, compliance, and governance requirements. * Monitor model performance … pandas, numpy, etc) * Understanding of data science concepts, AI/ML models, evaluation approaches, and data science applications to enhance business processes * Proven hands-on experience in Microsoft Azure ML Studio * Experience using business intelligence tools, preferably Power BI * Experience applying Generative AI and prompting techniques * Strong understanding of data governance, model observability, and compliance frameworks * Proven More ❯

Qualifications: • 6+ years of experience in applied data science, machine learning, or analytics leadership. • Strong understanding of model lifecycle management, experimentation frameworks, and data science governance. • Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). • Hands-on experience with data science tools and languages such as Python More ❯

and secure AI service architectures. Required Experience/Skills: Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement processes. Optimize inference performance and cost (e.g., model compression, quantization, API optimization). Ensure compliance with AI ethics More ❯

and secure AI service architectures. Required Experience/Skills: Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement processes. Optimize inference performance and cost (e.g., model compression, quantization, API optimization). Ensure compliance with AI ethics More ❯

and secure AI service architectures. Experience in the following Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement processes. Optimize inference performance and cost (e.g., model compression, quantization, API optimization). Ensure compliance with AI ethics More ❯

/5, Claude, Gemini, Mistral, LLaMA, Cohere). Experiment with advanced prompting techniques; Chain-of-Thought, ReAct, Tree-of-Thoughts, and more. Deploy AI/ML pipelines using Azure ML, AWS SageMaker, Vertex AI, or Databricks. Integrate LLMs into production apps using LangChain, LlamaIndex, and RAG architectures. Build APIs and microservices for scalable AI deployment. Use AI … ML or related field. Tech Stack LLMs: GPT-4/5, Claude, Gemini, Mistral, LLaMA, Cohere Frameworks: LangChain, LlamaIndex, Haystack Tools: GitHub Copilot, Cursor, PromptLayer, Weights & Biases Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks Infra: Python, Docker, Kubernetes, SQL, PyTorch More ❯

Data Solution Architect - Conceptual Data Models, Data Vault 2.0, Azure Up to £800 per day (Inside IR35) London/Hybrid 6 Months My client is an instantly recognisable Insurance brand who urgently require a Data Solution Architect with expertise in Conceptual Data Modelling, Solution Architecture specifically within Data, exceptional stakeholder management skills and experience of implementing Data … working on large, complex Data Programmes Strong experience of Conceptual Data Models (leading/managing/maintaining/uplifted/improving Conceptual Data Models) Strong knowledge of MS Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI) Proven experience with Snowflake Architecture, including DevOps integration and CI/ More ❯

If you are an SC Cleared Azure Engineer with a focus on Azure AI, we have a new contract we would like to discuss with you. Please note this role is inside … IR35, requires onsite attendance once a week and can only consider candidates with current/live SC Clearance. Job Spec: Proven extensive experience developing AI solutions on Microsoft Azure AI Foundry and Microsoft Azure ML Studio. (LEAD) Understanding of data science concepts, AI/ML models, automation workflows, and agentic orchestration to enhance business … processes. (LEAD) Experience designing and deploying Agentic AI solutions leveraging orchestration, pipelines, and observability on Microsoft Azure AI Foundry. (LEAD) Experience applying Generative AI, NLP, and prompting techniques. Strong understanding of AI governance, observability, and compliance frameworks. Excellent communication and presentation skills. More ❯