726 to 750 of 2,058 Machine Learning Jobs in the UK excluding London

must have written production grade code in C#, C++ or Python for application development (not web apps or embedded) and an interest in pushing Machine Learning over time. Crucially we are looking for experience with AWS Cloud/Distributed Computing to be considered. Your new role In this ...

required. Demonstrable interest and experience in digital finance, automation, and modern analytics tools including AI‐enhanced financial processes (including, audit, OtD, P2P and closing), machine‐learning concepts or intelligent automation frameworks. Experience with SAP S/4HANA, SAP SAC, or similar ERP/reporting tools highly beneficial — experience ...

/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience with coding assistants and development harnesses to streamline software delivery. Hands-on experience using enterprise-authorized AI-assisted software development tools ...

technical and non-technical stakeholders. Preferred Qualifications Experience building centralized internal platforms or shared engineering services for operational or enterprise users. Experience applying AIOps, machine learning, or intelligent automation within production support or reliability engineering environments. Exposure to CI/CD pipelines, infrastructure as code, API-driven automation ...

success converting ambiguous business opportunities into funded roadmaps, prioritized backlogs, and measurable business outcomes. AI & Product Leadership Strong understanding of Artificial Intelligence, Generative AI, Machine Learning, Agentic Systems, Process Automation, Knowledge Management, and Data Products, with a proven record of delivering production-grade solutions. Experience defining product strategy ...

integration/continuous delivery, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Hands‐on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting ...

require all candidates tobe willing to attain an eDV clearance. In this area of the business we prove DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical ...

require all candidates tobe willing to attain an eDV clearance. In this area of the business we prove DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical ...

essential. Experience working with high-throughput, latency-sensitive production systems and delivering within contract or consulting environments would also be beneficial. Relevant AWS, Terraform, Machine Learning or Generative AI certifications are useful, although proven delivery experience is more important. Why Apply? This is an excellent opportunity to contribute ...

programme, where youll help turn operational, telematics, customer and third-party data into trusted, reusable data products that power dashboards, APIs, self-service analytics, machine learning and future generative AI services. Youll work with modern AWS managed services, lakehouse architecture, Data Mesh principles and governance-by-design patterns ...

infrastructure components, data pipelines, and custom data apps. Common operational visibility of the data platform from data platform infrastructure to data pipelines, machine learning apps. Assisting client application developers and advising on efficient data access and manipulations. Defining and implementing efficient operational processes. What We Need From ...

making platforms measurably better, you'll find meaningful impact and growth here. As a Lead Software Engineer at JPMorgan Chase in the AI and Machine Learning Platform team, you will build and scale AI infrastructure that modernizes traditional infrastructure management and site reliability engineering through applied AI. ...

making platforms measurably better, you'll find meaningful impact and growth here. As a Lead Software Engineer at JPMorgan Chase in the AI and Machine Learning Platform team, you will build and scale AI infrastructure that modernizes traditional infrastructure management and site reliability engineering through applied AI. ...

making platforms measurably better, you'll find meaningful impact and growth here. As a Senior Lead Software Engineer at JPMorganChase within the AI and Machine Learning Platform team, you will build and scale AI infrastructure that modernizes traditional infrastructure management and site reliability engineering through applied AI. ...

making platforms measurably better, you'll find meaningful impact and growth here. As a Senior Lead Software Engineer at JPMorganChase within the AI and Machine Learning Platform team, you will build and scale AI infrastructure that modernizes traditional infrastructure management and site reliability engineering through applied AI. ...

software solutions capable of handling sensitive data (e.g., Personally Identifiable Information or payment information). Experience implementing software solutions that operationalise data science and Machine Learning components Personal Qualities A hands-on problem-solver who leads by example, demonstrating commitment to software quality. A clear communicator, calm ...

they need. Analytics and AI: Using models and analytics techniques to enhance or add value to data. This could relate to supervised/unsupervised machine learning and have applications across advanced analytics and AI agent development. Standards and Best Practice: Adopting best practice and championing the standards established ...

experience operating AI, analytics or technology platforms in production. Solid DevOps experience, including CI/CD, monitoring and incident management. Understanding of AI/ML, including generative AI and model lifecycle management. Experience with cloud platforms, APIs and enterprise architectures. Microsoft AI experience, ideally Azure AI Foundry and Microsoft ...

building LLM, agentic AI or multi-agent systems. Hands‐on experience with LangGraph, LangChain, Haystack or similar frameworks. Proven ability to deploy AI/ML systems into production environments. Strong knowledge of inference, latency, performance, data pipelines, memory and tool/function calling. Experience with large‐scale search and retrieval ...

Develop automation and monitoring tools using Bash, Python, or similar scripting languages. Manage and secure container images and related storage used for AI and ML workloads. Integrate storage systems with public cloud services (AWS, Azure, GCP) and hybrid environments. Troubleshoot complex storage and data flow issues, collaborating closely with ...

strong emphasis on Azure-based data solutions. * Expert-level knowledge of Azure and/or Snowflake services, including Data Factory, Data Lake, Azure ML, and Power BI/Fabric. * Proven experience with infrastructure-as-code using Terraform and building CI/CD pipelines via Azure DevOps and GitHub Actions. * Strong ...

running Spark workloads and reviewing output logs Amazon Athena - ad hoc querying of data in S3 Amazon Textract and Comprehend - familiarity with AI/ML document extraction and NLP services AWS S3, IAM, CloudWatch, EC2, ECR - core platform services used day-to-day AWS console proficiency - navigating, configuring, and monitoring ...

semantic modelling and analytics engineering practices for scalable reporting and agentic solutions. Experience designing or operating data/analytics platforms with embedded AI/ML or GenAI capabilities Experience managing analytics or data products, datasets, or reporting solutions Proven ability to work with business stakeholders and translate requirements into delivered ...

ready visualizations and narratives Ability to connect insights to business outcomes and influence strategy Familiarity with modern data platforms (e.g., Spark, Snowflake, Airflow) and ML Ops tooling Passion for fostering inclusive team environments and valuing diverse perspectives Clear communicator who can translate complex technical concepts into actionable business language ...

projects in the Energy domain (Energy Management, Oil & Gas, Power & Water). Certified Scrum Master and/or Product Owner. Experience of AI/ML techniques/methodologies. An advanced understanding of Wide Area Monitoring and Control Systems (WAMCS). Benefits Relocation Assistance Provided: No Addressing the climate crisis ...