8 of 8 Permanent Azure Machine Learning Jobs in the Thames Valley

on this journey with us Focus of the role: We are looking for a DP-100–certified Azure Data Scientist who is passionate about applied machine learning and delivering real improvements to our clients in smart, effective ways. The successful candidate will be eager to deepen their skills and broaden into wider Azure … analytics capabilities, building a long career here at BCN Group within a growing and exciting innovation technology team. Our people have three things in common: a curiosity for learning, a drive to deliver projects brilliantly, and a belief that together we make a difference. Using your expertise in Azure Machine Learning … Actions, and Fabric/Power BI to ensure solutions are observable, governed, and production-ready. This is an exciting opportunity to develop new capabilities and establish industry-leading machine-learning practices that drive measurable outcomes for our clients. Responsibilities: Work directly with business stakeholders to conceive, design and deliver end-to-end machine learning More ❯

And thats the kind of work we want to be part of. The role: We seek an adept expert to contribute significantly to our R&D team, bridging machine learning engineering with applied data science. You'll improve and manage our Machine Learning Operations (MLOps) on Azure, and participate … in creating, assessing, and advancing various machine learning models and AI systems. Collaborate extensively with scientific and operational teams to guarantee the robustness, scalability, and reliability of our AI tools. Implementing automation and standardization throughout the ML lifecycle, your efforts will support quicker, data-informed decision-making and boost innovation. Help our CDMO's mission by … turning research insights into practical solutions efficiently. Key responsibilities: Compose, construct, and uphold resilient machine learning operations (MLOps) pipelines that facilitate the complete lifecycle of AI modelsfrom creation to implementation and supervision. Guarantee the successful deployment of machine learning and large language models (LLMs) in practical operational settings, transforming research findings into More ❯

Campion Pickworth are working with a leading International professional services firm to recruit for Senior Data Science and Machine Learning Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment. This is a unique opportunity to work on a wide range of high-impact … shaping our data capabilities and delivering meaningful insights that support business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. … within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. More ❯

Group is recruiting a Senior Azure AI Engineer (Contract) to lead the design, development, and deployment of next-generation Agentic AI solutions built on Microsoft Azure AI Foundry . This is a hands-on engineering role, ideal for someone passionate about building secure, compliant, and scalable AI systems that drive real operational value. You … be part of a collaborative team shaping how AI is adopted across a national-level environment. Key Responsibilities Design, develop, test, and deploy Agentic AI solutions on Microsoft Azure AI Foundry. Build and optimise AI pipelines , orchestration, and observability frameworks. Ensure solutions meet security, governance, and compliance standards. Collaborate with cross-functional teams to align AI projects … Essential Skills & Experience Proven experience developing AI solutions using Azure AI Foundry and Azure ML Studio . Strong understanding of data science, machine learning , and agentic AI orchestration . Experience with Generative AI, NLP, and prompt engineering . Solid grasp of AI governance, observability , and responsible AI frameworks. Excellent communication More ❯

degree in life sciences, computer science, or a related field Experience with Agentic AI frameworks and tools (e.g., LangGraph, CrewAI, AutoGen) Familiarity with cloud native-AI infrastructure (e.g., Azure ML, AWS Bedrock, Snowflake) Prior experience in building AI products for clinical development or healthcare analytics RDSITAI IQVIA is a leading global provider of clinical research services, commercial More ❯

Excellent communication skills — able to talk equally well to engineers, execs, and enterprise customers Bonus points for Experience with AI/ML platforms like SageMaker, Vertex AI, or Azure ML Background in MLOps, agent-based systems, or orchestration tooling Knowledge of ESG, carbon tracking, or UK/EU data regulations Exposure to early-stage product development in More ❯

architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security … models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data More ❯

data with some experience with engineering, data science and predictive analytics. 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 ❯