26 to 48 of 48 Azure Machine Learning Jobs in London

Data Scientist – AI & Machine Learning | Azure | London | Contract | Hybrid (3 Days Onsite) We’re hiring a Data Scientist on a contract basis to join our Digital Capabilities and Core Platform team in London. You’ll play a key role in driving the migration … of Java applications to the Azure Cloud while delivering high-performance streaming solutions using machine learning and big data technologies. This is a hybrid contract position running until the end of the year , requiring 3 days per week onsite in London and … to develop scalable, cloud-based solutions. What You’ll Bring: Solid experience in Python, SQL, and statistical data analysis. Proven track record in machine learning and NLP. Familiarity with Azure AI & ML, MLOps workflows, and model deployment. Strong communication and problem-solving skills. More ❯

Data Scientist – AI & Machine Learning | Azure | London | Contract | Hybrid (3 Days Onsite) We’re hiring a Data Scientist on a contract basis to join our Digital Capabilities and Core Platform team in London. You’ll play a key role in driving the migration … of Java applications to the Azure Cloud while delivering high-performance streaming solutions using machine learning and big data technologies. This is a hybrid contract position running until the end of the year , requiring 3 days per week onsite in London and … to develop scalable, cloud-based solutions. What You’ll Bring: Solid experience in Python, SQL, and statistical data analysis. Proven track record in machine learning and NLP. Familiarity with Azure AI & ML, MLOps workflows, and model deployment. Strong communication and problem-solving skills. More ❯

for our customers, ensuring seamless integration of AI technologies with existing systems. AI Integration: Implement and integrate AI technologies, such as generative AI, machine learning models, or NLP, to enhance our platform's capabilities, optimize processes, and improve user experiences. Platform Development: Design, develop, and maintain … improving our AI development processes, ensuring that the AI components are scalable, efficient, and maintainable. What you need to be successful AI and Machine Learning: Experience integrating and implementing AI/ML solutions within a product development environment. Skills in foundational models, prompt engineering and understanding … platforms like AWS, Azure, or GCP. Experience with services such as AWS SageMaker, Google AI, or Azure Machine Learning is a plus. Serverless Architectures: Exposure to serverless architectures, ideally edge compute environments such as Cloudflare Workers. Problem-Solving Skills: A More ❯

Design, develop, and implement AI solutions using Microsoft AI technologies such as Azure OpenAI, LLMs & SLMs, Azure Machine Learning, Cognitive Services, and Azure AI Document Intelligence, with additional experience in Fabric, PowerBI, DataBricks, and LangChain. Work closely … of-concept projects to validate AI use cases before scaling them into enterprise solutions. About the candidate: 5+ years of experience in AI, Machine Learning, GenAI, or Data Science, with expertise in Microsoft AI technologies. Hands-on experience with Azure OpenAI, LLMs, Azure … integration patterns. Strong communication and client-facing skills, with the ability to translate technical concepts into business value. Microsoft AI certifications (such as Azure AI Engineer Associate (AI-102) or Azure Solutions Architect Expert) are a plus. Reply is an Equal Opportunities Employer and More ❯

Solutions is partnering with a leading technology team to build a cutting-edge AI Innovation Team, and we are looking for an exceptional Machine Learning Engineer/MLOps Engineer/AIOps Engineer/AI Data Engineer/Data Scientist/Data Science Engineer/Software Engineer … science, data engineering and software engineering, ensuring AI/ML models are successfully built, deployed and scaled. You will work on real-world machine learning applications, leveraging vast datasets and cutting-edge technology to create real business impact. Key Details: Salary : £80,000 – £85,000 + … support this from the off. Key skills desired/what you will be doing: Develop and deploy AL/ML artificial intelligence/machine learning models for large-scale business applications. Build and maintain high-performance data pipelines, integrating structured and unstructured data sources. Take AI More ❯

Solutions is partnering with a leading technology team to build a cutting-edge AI Innovation Team, and we are looking for an exceptional Machine Learning Engineer/MLOps Engineer/AIOps Engineer/AI Data Engineer/Data Scientist/Data Science Engineer/Software Engineer … science, data engineering and software engineering, ensuring AI/ML models are successfully built, deployed and scaled. You will work on real-world machine learning applications, leveraging vast datasets and cutting-edge technology to create real business impact. Key Details: Salary : £80,000 – £85,000 + … support this from the off. Key skills desired/what you will be doing: Develop and deploy AL/ML artificial intelligence/machine learning models for large-scale business applications. Build and maintain high-performance data pipelines, integrating structured and unstructured data sources. Take AI More ❯

a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … 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 software e.g. Amazon and Azure machine learning, or Google's TensorFlow 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 Applicants will need to be eligible to work in the UK and hold an active eDV UK security clearance. How we will support More ❯

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 software e.g. Amazon and Azure machine learning, or Google's TensorFlow 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'll get 25 days holiday a year and, via our flexible benefits … Career Manager to help you develop your career and guide you on your journey through BAE Don't know a particular technology? Your learning and development is key to your future career and we provide a range of excellent training courses to enable you to upskill in a More ❯

a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … 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 software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing … in Cloud Computing such as AWS, MS Azure Relational, document, or graph database systems Software configuration and deployment e.g. Ansible Please note that it is essential that you currently hold high level UK security clearance How we will support you Work-life balance is important; you can More ❯

so we are not expecting candidates to be experienced in all of the areas outlined below. Qualifications: AI techniques (e.g. supervised and unsupervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection). Proficiency in … for accessing and processing data (PostgreSQL preferred but general SQL knowledge is more important). Familiarity with latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn). Knowledge of software engineering practices (coding practices to DS, unit testing, version control, code review). … for your email authorisation before we send your CV to this organisation. Deerfoot IT: Est. 1997. REC member. ISO certified. Tagged as: Industry , Machine Learning , United Kingdom More ❯

to deliver POC and short-term pre-sales engagements. The Senior Data Scientist has an excellent theoretical and practical understanding of statistics and machine learning and has a strong track record of applying this understanding at scale to drive business benefit. They are insanely curious and … and sensor data. Understand the PMML and ONNX model portability standards. Have experience with Teradata partner's analytical products, Cloud Service providers such as AzureML and Sagemaker and partner products such as Dataiku and H2O. Have strong hands-on programming skills in at least one major analytic programming language and … in addition to SQL. What You'll Bring An expertise in Data Science with a strong theoretical grounding in statistics, advanced analytics, and machine learning and at least 5 years real-world experience in the application of advanced analytics. A passion about knowledge sharing and demonstrate More ❯

diverse team, passionate about great technology applied creatively to solve complex business problems. We are a motivated team that is committed to lifelong learning and improving, both in and out of the office. We strive to be flexible and adaptable to change both in how we execute projects … with HTML/CSS/JS and frameworks like React. Familiarity with AI technologies (e.g., GenAI, Azure/OpenAI APIs, Machine Learning) and digital advertising. Proven ability to collaborate with vendor teams and deliver high-quality results, with curiosity about Disney's innovative More ❯

databases. Strong problem-solving, communication, and leadership skills. Preferred Skills: Experience with cloud platforms (e.g., AWS, Azure). Knowledge of machine learning techniques. Understanding of FX markets and instruments. Experience in end-to-end data product lifecycle management. This is a fantastic opportunity More ❯

databases. Strong problem-solving, communication, and leadership skills. Preferred Skills: Experience with cloud platforms (e.g., AWS, Azure). Knowledge of machine learning techniques. Understanding of FX markets and instruments. Experience in end-to-end data product lifecycle management. This is a fantastic opportunity More ❯

Location: Remote/Hybrid Job Type: Full-time About the Role Chapter 2 is working with a leading creative agency to develop scalable machine learning platforms for AI-driven content creation. This role is perfect for an MLOps + DevOps Engineer who thrives in fast-paced … infrastructure, or MLOps roles. Proven expertise in building and maintaining ML platforms at scale. Hands-on experience with cloud platforms (AWS, GCP, or Azure) for ML workloads. Strong proficiency with Docker, Kubernetes, and infrastructure automation (Terraform, CloudFormation). Solid programming skills in Python and familiarity with ML More ❯

Location: Remote/Hybrid Job Type: Full-time About the Role Chapter 2 is working with a leading creative agency to develop scalable machine learning platforms for AI-driven content creation. This role is perfect for an MLOps + DevOps Engineer who thrives in fast-paced … infrastructure, or MLOps roles. Proven expertise in building and maintaining ML platforms at scale. Hands-on experience with cloud platforms (AWS, GCP, or Azure) for ML workloads. Strong proficiency with Docker, Kubernetes, and infrastructure automation (Terraform, CloudFormation). Solid programming skills in Python and familiarity with ML More ❯

continuity within financial services or a regulated environment. Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and …/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow , Azure ML, SageMaker , Databricks , Python etc ). Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ML, data science, or software More ❯

with the pragmatism to deliver high-impact solutions. Experience of understanding of modern tech like Cursor AI, LLMs (ChatGPT, Groq or similar) and Azure ML is a bonus. Communication : Fluent in written and oral English. Role Overview : Head of Artificial Intelligence Technology Team: This team will be More ❯

with the pragmatism to deliver high-impact solutions. Experience of understanding of modern tech like Cursor AI, LLMs (ChatGPT, Groq or similar) and Azure ML is a bonus. Communication : Fluent in written and oral English. Role Overview : Head of Artificial Intelligence Technology Team: This team will be More ❯

and performance tuning of cloud-based applications and services Nice to haves: (MLOps): Model Deployment & Serving - Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance. Monitoring & Retraining - Set up model drift detection, performance monitoring, and automated retraining. ML Pipelines & CI More ❯

Location: London, Hybrid 💰 Rate: Up to £600 per day 📆 Contract: 6 months (Outside IR35, potential to go perm) 🛠 Tech Stack: Azure Data Factory, Synapse, Databricks, Delta Lake, PySpark, Python, SQL, Event Hub, Azure ML, MLflow We’ve partnered with a new AI-first professional … help shape the data backbone of a next-gen consultancy. What You’ll Be Doing: 🔹 Designing and implementing cloud-native data pipelines using Azure and Databricks 🔹 Building clean, governed data layers for ML, analytics, and application use 🔹 Supporting LLM/AI data workflows through structured and unstructured … Need: ✔ 5+ years in data engineering or backend cloud development ✔ Strong Python, SQL, and Databricks skills (especially PySpark & Delta Lake) ✔ Deep experience with Azure: Data Factory, Synapse, Event Hub, Azure Functions ✔ Understanding of MLOps tooling like MLflow and integration with AI pipelines ✔ Exposure to More ❯

Location: London, Hybrid 💰 Rate: Up to £600 per day 📆 Contract: 6 months (Outside IR35, potential to go perm) 🛠 Tech Stack: Azure Data Factory, Synapse, Databricks, Delta Lake, PySpark, Python, SQL, Event Hub, Azure ML, MLflow We’ve partnered with a new AI-first professional … help shape the data backbone of a next-gen consultancy. What You’ll Be Doing: 🔹 Designing and implementing cloud-native data pipelines using Azure and Databricks 🔹 Building clean, governed data layers for ML, analytics, and application use 🔹 Supporting LLM/AI data workflows through structured and unstructured … Need: ✔ 5+ years in data engineering or backend cloud development ✔ Strong Python, SQL, and Databricks skills (especially PySpark & Delta Lake) ✔ Deep experience with Azure: Data Factory, Synapse, Event Hub, Azure Functions ✔ Understanding of MLOps tooling like MLflow and integration with AI pipelines ✔ Exposure to More ❯

months Project snapshot Help a major healthcare client launch a WhatsApp-based AI chatbot hosted on Microsoft Azure. You'll steer the continual learning loop that keeps the bot accurate, safe, and clinically relevant. Key responsibilities . Curate, label and augment real chat data to fine-tune a … large-language-model (Azure OpenAI, Hugging Face, etc.) . Design and run evaluation experiments (precision/recall, BLEU, CSAT, etc.), then turn findings into actionable model tweaks. . Optimise prompts, retrieval-augmented-generation (RAG) chains and guard-rails to meet healthcare compliance standards (GDPR, ISO 27001, NHS … DSPT). . Define a repeatable training pipeline (MLflow or Azure ML) and performance dashboards for business stakeholders. . Champion Responsible-AI best practice - bias checks, explainability, audit logs and drift monitoring. . Work hand-in-hand with the chatbot dev team on release cadences and incident More ❯