21 of 21 Remote Azure Machine Learning Jobs in London

Are you passionate about artificial intelligence, innovation, and building systems with real-world impact? Join a fast-paced innovation team working on cutting-edge compliance technology that integrates machine learning, generative AI, and multi-agent systems for the next generation of financial monitoring. We're looking for a Machine Learning Engineer to … Responsibilities: Contribute to a New ML-Driven Platform : Build advanced AML/CTF transaction monitoring modules using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a … improve data pipelines, ensuring data quality and integrity. Requirements : Bachelors or Masters degree in a STEM field (e.g. Computer Science, Mathematics, Engineering). 0.53 years of experience in machine learning engineering or research. Strong coding skills in Python and working knowledge of SQL and cloud platforms (preferably Azure). Experience with ML frameworks More ❯

Social network you want to login/join with: Our SAIL (Solutions and AI Lab) practice are looking for an experienced Machine Learning Engineer to join the team. In SAIL, we build state-of-the-art AI solutions that help our clients with some of their biggest projects - ranging from tools that support energy networks forecast … also responsible to support the growth of our team, helping them to build the skills they need to solve our clients challenges. Typical engagements include: Defining and implementing Machine Learning projects over the full lifecycle, from conception to data preparation, model engineering, evaluation and deployment and finally model monitoring and maintenance Establishing and developing ML Ops … people who can both advise our clients and get hands on in technical delivery to bring a solution to life. Passionate person who is excited by problems within machine learning and can bring a good mix of technical delivery and core consulting skills in client engagements Advanced degree in computer science, mathematics, physics, engineering or related More ❯

Role : Machine Learning Engineer Location : London, UK (Hybrid) Salary : £50k–£65k (DOE) Are you passionate about artificial intelligence, innovation, and building systems with real-world impact? Join a fast-paced innovation team working on cutting-edge compliance technology that integrates machine learning, generative AI, and multi-agent systems for the next generation … of financial monitoring. We're looking for a Machine Learning Engineer to support the development of a greenfield compliance platform focused on anti-money laundering (AML) and counter-terrorist financing (CTF). You’ll help design scalable ML infrastructure, build real-time monitoring systems, and explore the latest advancements in AI. Your Responsibilities: Contribute to a … New ML-Driven Platform : Build advanced AML/CTF transaction monitoring modules using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a multi-agent system. Drive More ❯

Role : Machine Learning Engineer Location : London, UK (Hybrid) Salary : £50k–£65k (DOE) Are you passionate about artificial intelligence, innovation, and building systems with real-world impact? Join a fast-paced innovation team working on cutting-edge compliance technology that integrates machine learning, generative AI, and multi-agent systems for the next generation … of financial monitoring. We're looking for a Machine Learning Engineer to support the development of a greenfield compliance platform focused on anti-money laundering (AML) and counter-terrorist financing (CTF). You’ll help design scalable ML infrastructure, build real-time monitoring systems, and explore the latest advancements in AI. Your Responsibilities: Contribute to a … New ML-Driven Platform : Build advanced AML/CTF transaction monitoring modules using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a multi-agent system. Drive More ❯

Social network you want to login/join with: Machine Learning Ops Engineer - AI, London col-narrow-left Client: Opus 2 Location: London, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: 49e4bb405041 Job Views: 2 Posted: 12.07.2025 Expiry Date: 26.08.2025 col-wide Job Description: As Opus 2 continues … MLOps Engineer to build and maintain the infrastructure that powers our AI systems. You will be the bridge between our data science and engineering teams, ensuring that our machine learning models are deployed, monitored, and scaled efficiently and reliably. Youll be responsible for the entire lifecycle of our ML models in production, from building automated deployment … pipelines to ensuring their performance and stability. This role is ideal for a hands-on engineer who is passionate about building robust, scalable, and automated systems for machine learning, particularly for cutting-edge LLM-powered applications. What you'll be doing Design, build, and maintain our MLOps infrastructure, establishing best practices for CI/CD for More ❯

Data science programme to drive high impact data science outcomes. 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 data scientists on best tools … strategy. Skills and Experience Post-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, advanced analytics and/or … especially Python, R, and SQL 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 helping others to use them. More ❯

and enriching data for use in AI and ML pipelines. Perform detailed data analysis to extract meaningful insights and support model design decisions. Build, experiment with, and optimize machine learning models to meet performance requirements. Conduct quality assurance on models, ensuring robustness, explainability, and compliance with standards. Collaborate effectively with both upstream and downstream engineering sprint … Support the broader adoption of AI across the organization and contributes to the AI Guild community. Propose AI-first strategies and contribute ideas to address business challenges through machine learning. Communicate technical recommendations and project outcomes clearly and appropriately to varied internal stakeholders. Keep up to date with developments in artificial intelligence, machine learning … required and an MSc considered advantageous. Experienced in using machine learning frameworks such as Scikit-learn, Keras, and PyTorch, with additional familiarity with MLFlow and AzureML seen as a positive. Have working knowledge of CI/CD practices, ML Ops, ML pipelines, automated testing, and platforms such as AzureML, Google Cloud, or AWS. Possess hands-on More ❯

Lead Machine Learning Engineer - LLMs - Ramboll Tech At Ramboll Tech, we believe innovation thrives in diverse, supportive environments where everyone can contribute their best ideas. As a Lead Machine Learning Engineer, you will create cutting-edge AI solutions, mentor others, and foster a culture of collaboration and growth. As the sparring partner … fit if you bring some of the following qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. Minimum 5 years of experience in machine learning projects. At least 2 years in a senior or lead role. Proven expertise with modern LLMs in production. Leadership skills: Proven leadership in agile environments, strong … are a growing team committed to diversity, inclusion, and a positive culture, focusing on solutions, growth, and mutual support. TEAM CULTURE We prioritize daily idea exchange, support, continuous learning, and diversity. Our hybrid work approach offers flexibility, with regular in-person meetings. ABOUT RAMBOLL Ramboll is a global architecture, engineering, and consultancy firm dedicated to sustainable change and More ❯

stack, leveraging modern day cloud services, and driving CI/CD & automation practices. The ideal candidate should have a strong experience in DevOps and AIOps practices, including deploying Azure infrastructure services following best practises, with a strong focus on containerisation, analytics, virtual networking and serverless computing. Key Responsibilities/Accountabilities: As anAIOps Engineer, you will be responsible … focus on alignment to enterprise architecture for our Data Science & AI capabilities. Responsible for the implementation and management of secured, highly scalable, performance efficient, modernised infrastructure across our Azure cloud platforms supporting our Data Science and AI toolset. Automate infrastructure provisioning, configuration, and deployment processes, with CI/CD principles a strong focus area. Support and Enhance … performance and deliver proactive maintenance improvements. Ensure Security and Compliance of our infrastructure and Solutions, including a focus on Vulnerability Management & Maintenance. Knowledge and Experience: Strong experience implementing Azure Infrastructure Services in accordance with best practises. Strong experience in automation levering scripting languages such as JSON, Bicep, Yaml, Python, Terraform, Ansible and PowerShell. Proven understanding in Containerisation More ❯

to solve our client's challenges! It would be great if you also had experience in some of these, but if not we'll help you with them Machine Learning softwaree.g. Amazon and Azure machine learning, or Google'sTensorFlow Deploying and managing in Cloud Computing such as AWS, MS … Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible How we will support you Work-life balance is important; you can work around core hours with flexible and part-time working, and many of our roles include hybrid working enabling a mix of working from home and in the More ❯

Job title: Power Platform & Azure Data Developer (AI focused) Location: Central London (hybrid - 2 days on site) Salary: Up to £70,000 DOE About the role/company: This is a great opportunity to join a Pharmaceutical company in London who are growing their team. The business are in the process of delivering some of their AI … strategies and are seeking a dynamic and skilled Power Platform & Azure Data Developer with hands-on experience or exposure to AI Key skills/responsibilities: Design, build, and maintain Power Apps (integrate them with Power Automate and in Power BI). Integrate Power Platform solutions with other Microsoft services (e.g SharePoint, Dynamics … Build and manage data pipelines using Azure Data Factory. Support the deployment of cognitive services (e.g., Azure OpenAI, Azure Machine Learning) Work closely with business stakeholders, analysts, and other developers to gather requirements. Proven experience designing and deploying Power Automate workflows. AI/ML exposure with basic More ❯

Job title: Power Platform & Azure Data Developer (AI focused) Location: Central London (hybrid - 2 days on site) Salary: Up to £70,000 DOE About the role/company: This is a great opportunity to join a Pharmaceutical company in London who are growing their team. The business are in the process of delivering some of their AI … strategies and are seeking a dynamic and skilled Power Platform & Azure Data Developer with hands-on experience or exposure to AI Key skills/responsibilities: Design, build, and maintain Power Apps (integrate them with Power Automate and in Power BI). Integrate Power Platform solutions with other Microsoft services (e.g SharePoint, Dynamics … Build and manage data pipelines using Azure Data Factory. Support the deployment of cognitive services (e.g., Azure OpenAI, Azure Machine Learning) Work closely with business stakeholders, analysts, and other developers to gather requirements. Proven experience designing and deploying Power Automate workflows. AI/ML exposure with basic More ❯

datasets and self-service analytics across teams. - Collaborate with BI, Engineering, and business stakeholders to enhance analytics delivery. - Leverage cloud platforms and modern pipeline tooling (e.g., Snowflake, Databricks, Azure, AWS). ML/AI Strategy & Execution: - Lead the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications More ❯

in a digital or tech-driven organisation Strong knowledge of GenAI, NLP, LLMs, RPA, and their business applications Hands-on experience with AI platforms and tools (e.g. OpenAI, Azure ML, Vertex AI, UiPath) Excellent stakeholder engagement and communication skills Analytical and commercially focused mindset—able to identify and quantify impact Desirable: Technical background in data science, engineering More ❯

in a digital or tech-driven organisation Strong knowledge of GenAI, NLP, LLMs, RPA, and their business applications Hands-on experience with AI platforms and tools (e.g. OpenAI, Azure ML, Vertex AI, UiPath) Excellent stakeholder engagement and communication skills Analytical and commercially focused mindset-able to identify and quantify impact Technical background in data science, engineering, or More ❯

the real-world impact of AI and emerging technologies. Nice to Have Experience in sectors like telco, financial services, or retail. Knowledge of tools like Databricks, Snowflake, or Azure ML. Understanding of generative AI use cases and deployment frameworks. Why this opportunity? Work on complex, strategic programmes that blend consulting with hands-on innovation. Collaborate with a More ❯

Oversight Translate business requirements into technical specifications; review solution architecture and ensure alignment with best practices. Guide teams working with JavaScript (Node.js/React), cloud platforms (AWS/Azure/GCP), and data formats (JSON, XML, ANSI X12, EDIFACT). Vendor & Stakeholder Management Select and manage external vendors/SIs; negotiate contracts and SLAs. Facilitate communication between … Integration: EDI (ANSI X12, EDIFACT), REST/GraphQL APIs, OAuth2, Webhooks Languages & Frameworks: JavaScript/TypeScript (Node.js, React), Python (for data/AI), SQL Cloud & DevOps: AWS/Azure/GCP services, CI/CD pipelines, Docker/Kubernetes AI/ML Tooling: Familiarity with cloud AI services (SageMaker, Vertex AI, Azure AI) and More ❯

Oversight Translate business requirements into technical specifications; review solution architecture and ensure alignment with best practices. Guide teams working with JavaScript (Node.js/React), cloud platforms (AWS/Azure/GCP), and data formats (JSON, XML, ANSI X12, EDIFACT). Vendor & Stakeholder Management Select and manage external vendors/SIs; negotiate contracts and SLAs. Facilitate communication between … Integration: EDI (ANSI X12, EDIFACT), REST/GraphQL APIs, OAuth2, Webhooks Languages & Frameworks: JavaScript/TypeScript (Node.js, React), Python (for data/AI), SQL Cloud & DevOps: AWS/Azure/GCP services, CI/CD pipelines, Docker/Kubernetes AI/ML Tooling: Familiarity with cloud AI services (SageMaker, Vertex AI, Azure AI) and More ❯

with ML frameworks such as TensorFlow, PyTorch, XGBoost, LightGBM, or similar Strong SQL skills and experience with data warehousing solutions (Snowflake, BigQuery, Redshift) Experience with cloud platforms (AWS, Azure, GCP) and their ML and AI services (SageMaker, Azure ML, Vertex AI) Knowledge of MLOps tools including Docker, MLflow, Kubeflow, or similar platforms Experience with … Social and Cultural Events, plenty of opportunities to connect with colleagues through organised activities and celebrations. Inspirational Talks, bringing the outside in with regular guest speakers and events. Learning and Development, supporting your growth with continuous opportunities to learn and advance. Buddy Programme: You will be paired with a 'Buddy' to help you through your first weeks' at More ❯

4+ years’ experience across data engineering, data science, and data visualisation Proficiency in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure ML) Strong data visualisation skills (Power BI, Tableau) and experience designing client-facing More ❯

4+ years’ experience across data engineering, data science, and data visualisation Proficiency in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure ML) Strong data visualisation skills (Power BI, Tableau) and experience designing client-facing More ❯