401 to 425 of 856 Machine Learning Jobs in the UK excluding London

development performance management. Hands-on experience with BI tools or modern analytics platforms (for example Power BI, Tableau or Spotfire). Exposure to AI, machine learning, or predictive analytics applied to operational decision-making. A track record of scaling digital products across complex, matrixed organizations . Demonstrated commitment ...

production solutions) Experience building on Azure data/AI stack Hands‐on experience with Azure AI Foundry (must have) Proven delivery of AI/ML/GenAI solutions (not just POCs) Good grounding in data architecture Experience with: Microsoft stack (Fabric, SQL, low‐code environments) Data governance (e.g. Purview) Microsoft ...

product focused data science or analytics role. * Hands on experience with NLP, semantic analysis, or large scale text data. * Experience working on AI or ML driven products in a B2B SaaS or scale up environment. * A pragmatic, impact focused mindset with confidence owning problems end to end. ...

Scientists who have experience across: Large Language Models (LLMs) Agentic AI systems Chatbot platforms NLP and generative AI AI product development Python and modern ML tooling Experience deploying AI products into production environments would be highly beneficial. If interested, please apply or send your CV across for more information. ...

standards and establish a robust data governance framework, developing data quality and security standards in line with regulatory requirements. Ensure readiness for AI/ML integration. Evaluate emerging tools, cloud platforms and analytics technologies. Work with external partners to establish a “single version of the truth” across the industry ...

/Dimensional Modelling/Data Warehousing Development Management: Azure DevOps SQL MI/DB ETL: Active Batch, API, Event Hub, Kafka AI/ML We’re grateful for your interest in joining our team. Kindly note that only applicants whose experience and qualifications most closely align with the role will ...

Analysts, and commercial stakeholders to ensure models are practical and impactful. Your Skills and Experience Strong commercial experience using Python for Data Science and Machine Learning. Confident working with SQL to access and manipulate data. Proven experience delivering end-to-end Data Science solutions, including deployment into production environments. ...

Grafana, Kibana) Strong problem-solving skills and ability to work independently Excellent communication and stakeholder engagement skills Exposure to Databricks Apps or AI/ML workloads (nice to have) If you have previously led migrations to Unity Catalogue and you're interested in this role, click 'apply now' to forward ...

junior team members Desirable for both: PySpark/Python in Fabric Notebooks, Azure Data Factory/Synapse/Data Lake, Power BI, AI/ML exposure, DP-600 or DP-203 certifications. With two roles live and this level of investment in Fabric and Dynamics 365 rarely on the market ...

tech projects. This is an exciting and rewarding opportunity working with cutting-edge cloud technologies, modern delivery processes, and innovative projects involving AI and ML which provides a dynamic and stimulating work environment. Collaborating with experts in their respective fields enabling you to learn and make valuable contributions to ground ...

Istio, Linkerd) and configuration management tools (e.g., Chef, Puppet). Knowledge of site reliability engineering (SRE) principles and practices. Familiarity with GCP AI/ML services (AI Platform, AutoML). In return, you will be rewarded with ongoing career development and a market leading benefits package in a flexible, hybrid ...

accelerators, and reusable frameworks as the CoE scales What We’re Looking For Minimum 3 years’ experience building and deploying Generative AI or applied ML systems Strong hands-on engineering background – you actively code, build, test, and deploy Experience with: RAG architectures and vector databases Hugging Face models, pipelines ...

cloud platforms (AWS, Azure) and modern infrastructure (e.g., containers, Kubernetes, CI/CD pipelines). Experience with MLOps/LLMOps or supporting AI/ML systems in production environments. Solid understanding of security, governance, and cost management within cloud-based platforms. Experience working in financial services or a regulated environment ...

auditability, or regulated environments. Experience integrating LLMs with external tools, APIs, databases, code execution environments, or analytical engines. Desirable: publications (at main NLP/ML/AI conferences ...

managed cloud cost, budget and capacity at scale. You understand the engineering choices that drive AWS spend. You have enough exposure to AI/ML platform needs, data engineering and cloud data platforms to guide real architecture decisions. AWS Bedrock or production GenAI experience would be valuable You can operate ...

team. The essential requirements of the job include: Significant hands-on experience building and operating production data pipelines that support analytics, AI/ML, and enterprise application use cases. Strong practical experience working with unstructured and structured data, including ingestion, transformation, enrichment, indexing, and lifecycle management. Proven ability to deliver ...

united by a shared commitment to innovate for tangible impact. IDBS helps BioPharma organizations unlock the potential of AI/ML to improve the lives of patients. As a trusted long-term partner to 80% of the top 20 global BioPharma companies, IDBS delivers powerful cloud software and services specifically ...

thresholds. Combine metrics, logs, and traces to enable root cause analysis and reduce Mean Time to Resolution (MTTR). Knowledge of AIOps or ML-based anomaly detection for proactive reliability management. Collaboration Work closely with development teams to integrate reliability into application design and deployment Promote a culture of shared ...

customer-first delivery). Ensure solutions are scalable, secure, and compliant with regulatory requirements within clinical research. Evaluate and integrate digital health, AI/ML, and emerging technologies to enhance clinical trial and delivery and patient experience. Continuously evaluate market trends, competitive landscape, and technology trends to ensure Fortrea maintains ...

platforms. Demonstrated ability to design and execute CRM and data strategies supporting complex analytics, reporting, and workflow automation at scale. Exposure to AI/ML tools with the ability to translate technical outputs into practical business applications for molecule tracking and lifecycle insights. Strong analytical, problem solving, communication, and stakeholder ...

benefit: Image Processing Algorithms : Segmentation, Filter Design, Noise Removal, Compression, Super Resolution Computer Vision Algorithms : Tracking, Optical Flow, Particle Filtering, Pose Estimation Deep Learning techniques : Detection, Classification, Tracking, Siamese Networks Inverse Problems/Computational Imaging : Sparse Coding, Compressive Sensing Machine Learning : Support Vector Machines, Neural Networks Domain …/Hyper-Spectral, RF, IR, SAR, STAP The primary development environments used within the department are Matlab/Simulink and Python (including PyTorch Deep Learning libraries). What's in it for you? Every day you will work in a friendly and motivated team You will play ...

full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity and reducing time spent … data mechanics” Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time Purpose of Onyx Onyx Product Management ...

Deliver clear handover documentation outlining model status, limitations and recommended next steps. Your Skills & Experience Strong experience building, maintaining and productionising data science and machine learning models. Confident working with Python … modern analytics or data science environment. Solid SQL skills and experience using transformation frameworks such as dbt. Experience working with cloud-based data and ML platforms such as Databricks. Comfortable owning existing models, improving reliability and driving stakeholder adoption. Familiarity with version control using Git. Exposure to customer analytics, retention ...

information capabilities. Desirable Skills/Experience Experience leading large‐scale data marketplaces or catalogues in highly regulated industries. Background in applying AI/ML to metadata management, knowledge graphs or intelligent search. Track record of building data products that directly enable scientific or clinical decision‐making. Familiarity with cloud‐native … outstanding and ambitious world! AstraZeneca offers the chance to combine technology leadership with meaningful impact: work with modern platforms in data, analytics, AI and machine learning; experiment with innovative approaches through hackathons and modern engineering practices; collaborate with diverse experts across science and technology; and help transform ...

Design and optimise detection, segmentation, and classification systems for real-world performance. Drive model optimisation for latency, reliability, and scalability in production systems. Integrate ML models into broader platform architecture and APIs. Establish robust testing, monitoring, and performance tracking for deployed systems. Skills & Experience Essential Strong experience with Python … production-grade software engineering. Proven experience deploying machine learning/computer vision models into production. Hands-on with OpenCV, PyTorch and/or TensorFlow. Strong understanding of image processing fundamentals. Experience with Docker and modern CI/CD workflows. Strong debugging, profiling, and systems thinking skills. Desirable Experience ...