12 of 12 Permanent Azure Machine Learning Jobs in London

Machine Learning Operations Engineer Our financial services client based in London is looking to recruit a Machine Learning Operations Engineer ASAP. The position will be a Hybrid role be working from home and their offices in London. To be considered … role you must have the following essential skills & experience: Key Skills & Experience Model development: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine ...

application integration . Key Responsibilities Architecture & Design Define end-to-end AI reference architectures across data, model lifecycle, APIs, and app integrations using Azure services (Azure OpenAI, Azure ML, Azure Databricks, Azure Data Lake, Synapse … software/data/ML engineering with 5+ years in solution/enterprise architecture, focusing on AI/ML. Expert with Microsoft Azure AI stack: Azure OpenAI Service , Azure AI Foundry , Azure Machine Learning ...

plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance … outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/ ...

Science, Engineering) Experience using Python is a must Experience of data visualisation tools (e.g. Tableau, Power BI) A strong knowledge of statistical/machine learning models applied to real-world problems A keen interest in problem-solving and using data, analytics and AI to solve investment … enquire about other roles, please contact Nick Mandella at Harnham. KEYWORDS Python, SQL, Tableau, Power BI, AWS, GCP, Azure, Cloud, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance. ...

days per week in office) Day Rate: Market rate (Inside IR35 Duration: 6 months Role Overview As an MLOps Engineer, you will support machine learning products from inception, working across the full data ecosystem. This includes developing application-specific data pipelines, building CI/CD pipelines … Snowpark, PySpark, or PyTorch Experience with containerization tools like Docker and orchestration tools like Airflow or Astronomer Familiarity with cloud platforms (AWS, Azure) and ML services (e.g., SageMaker, Vertex AI) Experience with CI/CD pipelines and automation tools such as GitHub Actions Understanding of monitoring ...

management, and data security solutions for an enterprise across business verticals Experience on at least one of the 3 major cloud platforms- AWS, Azure, GCP Knowledge of GenAI technologies, including LLMs (Large Language Models), generative models … related frameworks (e.g., LangChain, TensorFlow, etc.) Possess knowledge of cloud-based AI/ML services like AWS SageMaker, Azure Machine Learning, Google AI Platform, Databricks GenAI/BI, Snowflake GenAI, and their relevant services for building and deploying GenAI workloads. Knowledge of market ...

Director of Data & AI | Microsoft Azure Stack | AI-Driven Legal Platform Workplace Type: Hybrid Location: London Salary: 130-150k The Role This is a senior leadership role for someone who wants to sit at the heart of a business where AI is already embedded into live … Employee Benefits Private medical insurance 25 days holiday Pension Hybrid working (2 days per week in the office) Director of Data & AI | Microsoft Azure Stack | AI-Driven Legal Platform ...

engineering into a global, high-calibre professional services environment? A leading international organisation is looking for a Data Scientist with strong experience with Azure to join its London technology function. You will help design, build, and deploy production-ready AI and advanced data analytics solutions that directly … play a critical role in the Design, development and deployment of AI/MI and Data solutions Work with advanced AI platforms including Azure ML, Azure OpenAI, Databricks, MLflow and LangChain A collaborative, supportive culture that encourages innovation and professional development Hybrid working with ...

MLOps, Quality & Productionisation Design and implement robust CI/CD and MLOps pipelines using platforms such as Databricks, MLflow, Unity Catalog, Snowflake, and Azure ML. Establish model observability across performance, drift, cost controls, and operational reliability . Apply AIOps practices to enable automated retraining, rollback, and compliance … where AI can deliver measurable commercial impact , particularly in underwriting and claims functions. Candidate Profile Technical Expertise 8–15+ years’ experience delivering production machine‐learning or advanced analytics solutions. Strong background in statistical and ML modelling including: Regression and classification Time‐series forecasting Gradient boosting ...

implement Microsoft-specific solutions with Microsoft Dynamics 365, including Dynamics 365 Contact Centre, Power Platform (Power BI, Power Apps, Power Automate), and Azure services to streamline processes, enhance data insights, and enable personalized interactions, making business operations more efficient and customer-centric. Plan and drive the implementation … met. Ensure all appropriate reporting is in place. Leverage Microsoft’s AI-driven capabilities such as Copilot, Azure AI, and machine learning capabilities to enhance customer experience, business processes and decision-making. Collaborate across our business sharing knowledge within the Accenture ecosystem ...

data frameworks (DAMA-DMBOK, NIST AI RMF, ISO 23894, ISO 27001, GDPR/DPA 2018); hands-on with platforms such as Microsoft Purview, Azure ML, Databricks, Power BI, Collibra, or Alation; exposure to MLOps practices. ...

Solution Delivery Develop, design, and implement scalable, maintainable, secure, and observable AI solutions-automating decision-making, integrating with enterprise platforms, embedding LLMs, reinforcement learning, and APIs, and delivering measurable business outcomes. AI Lifecycle Ownership & Responsible AI Implement all components of the AI lifecycle, including data preparation, agent building … users and citizen developers; communicate AI concepts clearly to technical audiences; and foster a collaborative, supportive, and knowledge-sharing culture. Innovation, Leadership & Continuous Learning Stay ahead of AI engineering trends and emerging tools, demonstrate curiosity and initiative, balance multiple priorities with strong organisational skills, contribute ideas that drive ...