1 to 25 of 27 Azure Machine Learning Jobs in London

the importance of team spirit, cohesion, and appreciation - And through our talented people, innovative culture, and technical and business expertise, we deliver game changing outcomes every day. Our learning culture and flat hierarchy are our recipes for success. But don't take our word for it - Have a look at what our employees are saying: Hitachi Solutions: Recruiting … Provide expert advisory services to clients on AI best practices, ensuring delivery of scalable and efficient solutions. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure … and Data platform solutions such as Microsoft Fabric and/or Databricks Excellent communication, collaboration, stakeholder management, and problem-solving skills. Familiarity with the Microsoft Copilot stack. Microsoft Certified: Azure Data Scientist Associate certification or AI Engineer is a plus Experience within a consultancy setting, or demonstrable evidence of a consulting skillset is a plus. Additional Information More ❯

the importance of team spirit, cohesion, and appreciation - And through our talented people, innovative culture, and technical and business expertise, we deliver game changing outcomes every day. Our learning culture and flat hierarchy are our recipes for success. But don't take our word for it - Have a look at what our employees are saying: Hitachi Solutions: Recruiting … Lead teams and projects, supporting all aspects of delivery from requirements gathering to solution design and implementation. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure … and Data platform solutions such as Microsoft Fabric and/or Databricks Excellent communication, collaboration, stakeholder management, and problem-solving skills. Familiarity with the Microsoft Copilot stack. Microsoft Certified: Azure Data Scientist Associate certification or AI Engineer is a plus Experience within a consultancy setting, or demonstrable evidence of a consulting skillset is a plus. Additional Information More ❯

Role Machine Learning Engineer Location - London (Hybrid) Salary - £80K - £100K Role Type Permanent Myn is an AI driven marketplace that connects the candidates, clients and recruiters. Myn collaborates with leading employers to offer exclusive, carefully matched permanent positions. Overview Are you a talented Machine Learning Engineer eager to make an immediate impact … on exciting projects? Our client is seeking an experienced professional for a hybrid position to be based in Central London As a Machine Learning Engineer for this start-up, you will have the chance to: Develop and implement cutting-edge machine learning models and algorithms that drive business outcomes and innovation. Collaborate … in your day-to-day work. Leverage your expertise to influence decision-making and enhance product functionality Key Skills Proficiency in Python and/or R for developing machine learning models. Experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn. Strong understanding of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms More ❯

Ready to take your ML skills from experiment to impact? Are you a Machine Learning Engineer who’s passionate about building real-world solutions that make a difference, not just proof-of-concept models gathering dust? You’ll be at the core of our machine learning operations, designing and deploying scalable pipelines … platform, and collaborating with data scientists and analysts to turn bold ideas into business value. You’ll own our Azure ML platform. Exciting right? Role: Machine Learning Engineer, ML Engineer, AI, AI Engineer, Artificial intelligence, ML Platform Engineer, AI Software Engineer Location: Hybrid – HQ is Paddington, Central London. We would love to see … awesome benefits! In regard to you...it would be great if you bring strong Python skills, experience with Azure ML, Docker, Git, and a passion for machine learning tools like scikit-learn, TensorFlow or PyTorch. Bonus points if you're curious about GenAI and know your way around SQL. If you're ready to More ❯

Ready to take your ML skills from experiment to impact? Are you a Machine Learning Engineer who’s passionate about building real-world solutions that make a difference, not just proof-of-concept models gathering dust? You’ll be at the core of our machine learning operations, designing and deploying scalable pipelines … platform, and collaborating with data scientists and analysts to turn bold ideas into business value. You’ll own our Azure ML platform. Exciting right? Role: Machine Learning Engineer, ML Engineer, AI, AI Engineer, Artificial intelligence, ML Platform Engineer, AI Software Engineer Location: Hybrid – HQ is Paddington, Central London. We would love to see … benefits! In regard to you…it would be great if you bring strong Python skills, experience with Azure ML, Docker, Git, and a passion for machine learning tools like scikit-learn, TensorFlow or PyTorch. Bonus points if you're curious about GenAI and know your way around SQL. If you're ready to More ❯

Lead Machine Learning Engineer (m/f/d) - 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 step up and take responsibility to create cutting-edge AI solutions that empower our … according to their needs and abilities. Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Experience: Minimum 5 years of experience implementing machine learning projects. At least 2 years in a senior or lead role. Demonstrated expertise integrating modern LLMs into production systems. Leadership skills: Proven leadership in driving technical … Tooling: Advanced Python proficiency and expertise with frameworks like PyTorch, TensorFlow, Hugging Face, or LangChain. MLOps and Deployment: Experience with containerization tools (Docker, Kubernetes) and workflow management tools (Azure ML Studio, MLFlow). Cloud and AI Infrastructure: Hands-on experience with (preferably Azure) Cloud environments for scalable AI deployment, monitoring, and optimization. Document Processing More ❯

analysis, and machine learning. Knowledge of vector database/indexes Skills in data pipeline creation, ETL processes, and working with large datasets. Experience working with Microsoft Azure services, including Azure Machine Learning, Azure Search Index, Azure Data Factory and Azure More ❯

to remove non-essential boilerplate while preserving the core responsibilities, qualifications, and benefits. Overview Join us in shaping the future of cloud transformation and AI innovation with Microsoft Azure! We are seeking a driven and customer-focused Solution Sales Specialist to join our Cloud & AI team in the UK. In this role, you will work with enterprise … Champion Secure and Responsible AI: Guide customers in implementing secure, compliant, and responsible AI practices, leveraging Microsoft tools like Azure AI, Azure Machine Learning, and Microsoft Responsible AI guidelines. Enable Data-Driven Decision Making: Help customers modernize their data estates, integrate advanced analytics, and deploy AI models to optimize decision … Ongoing Customer Success: Monitor and guide adoption post-deployment, ensuring customers realize the full value of their Azure investments while driving renewals and expansion. Continuous Learning & Thought Leadership: Stay ahead of industry trends, competitive insights, and Microsoft innovations. Share best practices and mentor peers to raise overall team capability. Benefits/perks listed below may More ❯

insights. From developing robust proof-of-concepts to deploying enterprise-grade solutions, you will apply your expertise in AI engineering, cloud platforms, and technologies such as Generative AI, Azure, Databricks to embed intelligence into critical audit workflows and products. You will mentor junior engineers, promote best practices, and foster a culture of collaboration, innovation, and continuous improvement. … RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient … clear and accessible manner. Qualifications: Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field. Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous - desirable Professional accounting qualification preferred, however not a requirement - desirable To discuss this or wider Technology roles with More ❯

insights. From developing robust proof-of-concepts to deploying enterprise-grade solutions, you will apply your expertise in AI engineering, cloud platforms, and technologies such as Generative AI, Azure, Databricks to embed intelligence into critical audit workflows and products. You will mentor junior engineers, promote best practices, and foster a culture of collaboration, innovation, and continuous improvement. … RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient … clear and accessible manner. Qualifications: Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field. Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous - desirable Professional accounting qualification preferred, however not a requirement - desirable To discuss this or wider Technology roles with More ❯

insights. From developing robust proof-of-concepts to deploying enterprise-grade solutions, you will apply your expertise in AI engineering, cloud platforms, and technologies such as Generative AI, Azure, Databricks to embed intelligence into critical audit workflows and products. You will mentor junior engineers, promote best practices, and foster a culture of collaboration, innovation, and continuous improvement. … RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient … clear and accessible manner. Qualifications: Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field. Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous - desirable Professional accounting qualification preferred, however not a requirement - desirable To discuss this or wider Technology roles with More ❯

insights. From developing robust proof-of-concepts to deploying enterprise-grade solutions, you will apply your expertise in AI engineering, cloud platforms, and technologies such as Generative AI, Azure, Databricks to embed intelligence into critical audit workflows and products. You will mentor junior engineers, promote best practices, and foster a culture of collaboration, innovation, and continuous improvement. … RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient … clear and accessible manner. Qualifications: Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field. Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous - desirable Professional accounting qualification preferred, however not a requirement - desirable To discuss this or wider Technology roles with More ❯

W8 Position: Permanent About the Role We are seeking a motivated ML Engineer/Data Engineer to join our Data Engineering team and help evolve our data and machine learning platforms. In this role, you'll work at the intersection of machine learning and data engineering - designing and maintaining scalable data pipelines … ensuring both the data foundations and the ML systems are robust, efficient, and impactful.The ideal candidate is pragmatic, collaborative, and passionate about solving complex problems with data and machine learning. Main Responsibilities Collaborate with data analysts to create ML models from prototype to production Design, build, and maintain data pipelines and feature engineering workflows Deploy, monitor, and optimize … related field Professional experience in data engineering, ML engineering, or a related field Strong programming skills in Python and SQL Experience with Google Cloud Platform and/or Azure Cloud Services (DataFactory, Functions, SSIS) Hands-on experience with Databricks (GCP or Azure) Experience deploying and maintaining ML models (e.g., MLflow, Vertex AI, Azure More ❯

passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders. About the Role: We're looking for a Machine Learning Engineer to design and build scalable ML models that power critical treasury decisions. You will focus on leveraging advanced algorithms-from real time currency exposure forecasting to … plus). Proficiency in Python-including pandas, scikit learn, TensorFlow/PyTorch, LightGBM/XGBoost-and experience with SQL. Hands on experience with cloud ML platforms (AWS SageMaker, Azure ML, or Google AI Platform). Solid understanding of software engineering fundamentals: version control, code reviews, automated testing, and containerization. Familiarity with FX markets, risk management concepts, or More ❯

with its features, capabilities, and roadmap Tungsten Solutions Knowledge : Maintain a firm understanding of all primary Tungsten Automation solutions and offerings AI and ML Capabilities : Leverage AI and machine learning capabilities, including natural language processing (NLP), computer vision, and LLMs, to optimize document processing, data extraction, and decision-making workflows Programming and Development : Apply relevant programming … to drive adoption and long-term success of Tungsten Automation solutions Production AI Experience : Leverage experience with deploying, monitoring, and maintaining AI/LLM models in production (e.g., Azure ML, AWS Sagemaker, or Kubernetes-based ML pipelines) Thought Leadership : Provide thought leadership on AI-driven automation trends and best practices, both internally and externally Collaboration and Cross … architecture, AI-driven automation, or a related field, with a focus on enterprise-scale implementations Deep AI expertise with technical understanding of AI/GAI technologies, including LLMs, machine learning, NLP, and computer vision, and their application in business automation Platform knowledge with strong technical knowledge of the TotalAgility platform or similar intelligent automation platforms Integration More ❯

for Argos & Nectar Products. Experience Required: MTA (Multi-Touch Attribution) and MMM (Marketing Mix Modelling) Experience Python SQL Pyspark Cloud Technology - Ideally AWS or Azure Machine Learning Experience Accumetric Metrics Experience of working with multi-functional teams Sanderson is committed to barrier-free and inclusive recruitment. We are a Disability Confident recruiter, and More ❯

scikit-learn, TensorFlow or PyTorch) essential; R (desirable) Data Engineering & Cloud: Advanced SQL, ETL/ELT tools (Airflow/dbt), AWS/Azure/GCP Machine Learning & AI: Classification, regression, clustering, forecasting; NLP (text mining, sentiment, LLM fine-tuning); GenAI frameworks Analytics & Visualisation: BI tools (Power BI, Tableau, Looker), interactive dashboards, prototypes Productisation More ❯

will work on secure, cutting-edge solutions that make a tangible difference, alongside some of the brightest minds in technology. Technical Expertise Core tech stack: Terraform, AWS (preferred), Azure, CI/CD You will also bring experience in: 5+ years experience in platform engineering Programming in one or more languages: JavaScript, Java, .Net, Python Experience mentoring, coaching … Bitbucket) Automated testing frameworks and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior More ❯

skills and professional experience We are looking for candidates who are able to demonstrate skills and experience in some of the following: Education & Experience PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related discipline preferred. Outstanding candidates with strong quantitative, computer science, or engineering backgrounds in a related field will also be considered. Extensive … similar). Demonstrated track record of thought leadership in AI/ML, evidenced by patents, publications, or significant open-source contributions. Relevant industry certifications (AWS/Google/Azure/IBM ML Certifications) and deep understanding of technical courses (e.g., Andrew Ng's Coursera Courses, Andrei Karpathy's Tutorials) highly desirable. Technical Proficiency Demonstrated success leading the … evaluation frameworks, security best practices, and ethical guardrails to ensure safe, responsible, and compliant deployment of AI and Generative AI systems. Broad experience across major cloud platforms (AWS, Azure, GCP) with Generative AI services. Cloud-agnostic experience is preferred. Strong grasp of MLOps/LLMOps principles, including CI/CD for ML, model monitoring, and governance frameworks. More ❯

success and help drive our limitless ambitions. About the role The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning products are robust, scalable, and cost-efficient. We enable teams to solve problems using existing AI tools where possible and build custom solutions when needed. Our … cloud-native development (GCP preferred). Hands-on experience with GCP Vertex AI (model endpoints, pipelines, embeddings, vector search) or equivalent cloud-native ML platforms (e.g. AWS SageMaker, Azure ML) and agent orchestration frameworks such as LangChain and LangGraph Solid understanding of MLOps - CI/CD, IaC (Terraform), experiment tracking, model registry, and monitoring. Proven experience deploying More ❯

looking for a Cloud & ML Infrastructure Engineer to join our team. You'll play a key role in designing, building, and maintaining scalable systems that power cutting-edge machine learning workloads. From cloud infrastructure to distributed training environments, you'll help lay the foundation for delivering next-generation AI solutions. Responsibilities Design, deploy, and maintain scalable … high-performance cloud-based infrastructure for ML workloads and APIs. Manage cloud platforms (AWS, Azure, GCP) including ML nodes for local development and distributed training. Install, configure, and monitor servers, ensuring smooth system performance. Optimize shared and local storage for big data ML workloads. Build and scale containerized applications using Docker, Kubernetes, Terraform, etc. Collaborate closely with … experience in a cloud infrastructure or related role (ML experience preferred). Strong scripting skills (Bash, PowerShell, Python, etc.). Hands-on experience with cloud platforms (AWS, GCP, Azure). Proficiency in containerization and orchestration (Docker, Kubernetes). Expertise in managing and optimizing cloud-based systems at scale. Preferred Skills Familiarity with Python (Jupyter) and ML frameworks More ❯

gaming and film create and interact with 3D content. They are seeking an ML & Cloud Infrastructure Engineer to design and maintain the scalable infrastructure that powers cutting-edge machine learning workloads and production systems. This is a chance to work at the forefront of AI innovation in 3D technology, with huge scope to shape the platform … and practices in a fast-moving startup environment. The role will involve: Building and maintaining scalable cloud infrastructure (AWS, GCP, Azure) for ML workloads and APIs Setting up ML nodes for distributed training and local development Managing containerised environments (Docker, Kubernetes, Terraform) Optimising storage for big data pipelines supporting ML workloads Monitoring systems and responding to incidents … 6+ years' experience in cloud engineering, ideally with ML-related workloads Proficiency in scripting (Bash, PowerShell, Python) Start-up/Scale-up Experience Strong cloud skills (AWS, GCP, Azure) and containerisation (Docker, Kubernetes) Experience in automating deployments and orchestrating cloud environments Nice to have: Python (Jupyter, PyTorch), monitoring tools (Prometheus, Grafana), cloud databases (RDS, Aurora, Spanner), CI More ❯

requirements Required Expertise: Extensive ML Ops/ML Engineering experience, particularly in assurance, governance, and monitoring Hands-on knowledge of ML Ops platforms and tools (Kubeflow, MLflow, SageMaker, Azure ML, or equivalent) Proven ability to deploy and maintain AI solutions in regulated or complex operational settings Strong grounding in responsible AI practices, including explainability and fairness Experience More ❯

rapidly and tested prototypes prior to deployment Track record with front-end (React, Unity, WebGL, Android, iOS, React), back-end (Kotlin, REST, AWS, PHP8/Symfony4, AWS/Azure), AI, ML, web Past experience as a hands-on software engineer, ideally on Back End … systems Ability to take concepts from vision to technical solutions working with business, technical, management, and subject matter experts to deliver products or platform capabilities Experience with applying machine learning solutions to real world problems, ideally around natural language processing Proven track record of building and leading high-performance technology teams, and an ability to attract More ❯

involves the following engineering disciplines : Cloud Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure … AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow, AzureML or similar for MLOps; LangSmith, Langfuse and similar for LLMOps The difference to our "AI Engineer" role is: Do you "use/consume" these technologies, or are you the one More ❯