726 to 750 of 1,368 Permanent Machine Learning Jobs

Ecosystem The full modern Microsoft data stack: Fabric, Azure Data Factory, Synapse, Azure SQL, Azure Storage and Power BI. Advanced AI technologies including machine learning, generative AI, cognitive services, and responsible AI frameworks. Power Platform & Dataverse A heavy focus on Power Platform and Dataverse, as all customer data … platforms. Confident communicator able to own presales and C-suite conversations. Knowledge of Dynamics 365, DevOps pipelines and Agile delivery. Experience with ML, generative AI and cognitive services. Expertise in lakehouse, data mesh, ELT/ETL, MDM and modelling techniques. Ability to guide delivery teams without being the hands ...

will gain exposure to the full lifecycle of AI initiatives, supporting projects that include intelligent automation, Copilot-enabled workflows, advanced analytics and emerging machine learning capabilities. This is a hands-on role, ideal for someone curious about new technologies, including AI agents, and comfortable working at both … Copilot, Copilot Studio, or similar low-code/no-code platforms Basic to intermediate coding skills (e.g. Python) and an understanding of AI/ML concepts Experience exploring or implementing AI use cases, automation or data-driven solutions Familiarity with cloud platforms such as Azure AI, AWS or similar Strong ...

live deployment and business adoption. Working closely with IT, operational, commercial, and leadership teams, you will drive practical AI initiatives using Azure, LLMs, machine learning, and AI agents ensuring solutions are secure, scalable, integrated, and delivering measurable business impact. The organisation is already investing heavily … Required ExperienceEssential Proven experience leading AI strategy, implementation, or AI transformation initiatives within a business environment Deep expertise in Python and modern AI/ML frameworks and SDKs Strong experience building and deploying production-grade AI solutions, including RAG pipelines and LLM-based applications Hands-on experience with AI deployment ...

world’s most used provider of business credit reports with coverage of more than 430 million businesses worldwide. We deliver actionable intelligence powered by machine learning, AI, and connected data to help companies grow, thrive, and identify opportunities. Founded in 1997, we have offices in 16 countries serving … Annual Leave (plus bank holidays). Hybrid working model. Healthcare & Company Pension. Cycle to work and Wellbeing Programme. Global Company gatherings and events. E-learning and excellent career progression opportunities. Plus more that can be found on the benefits section on the Careers page, https://careers.creditsafe.com/ ...

Hiring: Data Scientist/Machine Learning Scientist London (Hybrid) An exciting opportunity has opened with a leading global organisation building cutting-edge AI solutions at scale. We are looking for candidates who have hands-on experience building and deploying real-world LLM and agentic AI systems into production ...

sales and engineering to refine offerings Requirements Experience in Solution Engineering, Pre-Sales, Sales Engineering or Technical Consulting Strong knowledge of LLMs, Generative AI, Machine Learning Hands-on with LangChain, OpenAI, GPT or similar tools Programming experience in Python Experience with APIs, integrations and REST services Cloud exposure ...

want to build AI and data products that are actually deployed into client environments? Have you worked on ML projects and wondered how they create commercial impact at scale? Are you ready to combine Data Science, consulting, and AI transformation in one role? A globally recognised strategy consultancy is hiring … client-facing engagements and internal innovation projects. **3 years of experience in data science/analytics required** Key Responsibilities • Build and deploy Python-based ML and analytics solutions • Support AI transformation and workflow automation initiatives • Develop reusable data products and internal tools • Present findings and demos to technical ...

simulation tools (FEA, CFD). Familiarity with CI/CD, containerisation, and infrastructure-as-code tools (e.g. Terraform). Experience or interest in machine learning applications within engineering contexts. Ideal Profile An early to mid-career software engineer (2–5 years’ experience) with strong technical foundations and demonstrable ...

very broad range of tech, across several greenfield projects and R&D environments, encompassing everything from full stack to embedded development, AI and Machine Learning tools and AWS/Azure cloud services to provide bespoke, secure software solutions to Government and Defence customers. We’re looking ...

generative AI solutions within the Microsoft ecosystem . This position is well-suited for candidates with a background in software engineering, data science, or machine learning who excel at developing production-grade AI applications utilizing Microsoft platforms such as M365, Copilot Studio, and Azure AI Foundry, and have ...

intelligent automation solutions, with a strong focus on: Agent-led experiences Workflow automation Secure enterprise integration This is not a pure data science or machine learning role, the focus is on scalable, real‐world solutions using Microsoft Copilot Studio, Power Platform, and Microsoft Foundry (for advanced scenarios). ...

completion. Degree in Computer Science, Mathematics, Statistics, Data Engineering, or a related discipline. Experience with React. Experience with AWS cloud services. Exposure to AI, machine learning, or related technologies. Previous startup or scale-up experience. Technology Stack .NET Core/C# React SQL AWS Elasticsearch Jira AI Platforms ...

platforms Comfortable working autonomously and taking ownership in a fast-moving, remote, startup environment Nice-to-Haves: Masters or advanced degree in artificial intelligence, machine learning, natural language processing or related field Experience with LLM fine-tuning techniques such as LoRA, QLoRA, supervised fine-tuning (SFT), instruction tuning ...

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 ...

with a pragmatic, solution-driven approach to mitigating risks across complex, secure deployments. Highly Desirable: Direct, hands-on experience deploying and running AI or Machine Learning workloads in a production environment. Holding an AWS Certified Solutions Architect (Associate or Professional) badge or an equivalent cloud certification. An entrepreneurial ...

code commenting or MS TFS Good understanding of fundamental computer programming concepts or Electronic Medical Record systems, with a basic understanding of statistical and Machine Learning concepts, dimensional models, and/or Data Warehouse systems Experience with Business Intelligence tools, such as Tableau, Cognos, Looker, Toad, Minitab, PowerBI ...

landscape and the challenges and opportunities faced by government agencies Deep knowledge of data analytics and related technologies, including cloud computing, artificial intelligence, and machine learning Excellent communication, presentation, and negotiation skills Proven leadership ability, with a track record of building and motivating high-performing teams. ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

Tech ecosystems, including SSAI, and ad decisioning systems. Experience working with player/client technologies across web, mobile, and connected devices. Exposure to machine learning applications in media workflows (e.g., content enrichment, personalization). Prior experience operating in a large-scale streaming platform environment. What Sets You Apart ...

candidate should cover some of the following topics, but are not limited to them: Software engineering with and for Artificial Intelligence, data-intensive, and machine-learning-based systems, including AI-assisted development, automation, debugging, and repair, as well as the engineering of trustworthy AI-enabled software Software testing ...

with relevant standards. Intelligent Problem Solving: Where applicable, identify and architect AI-driven solutions for complex defence challenges. You will ensure that AI and Machine Learning are integrated into systems engineering to solve specific mission problemssuch as predictive maintenance or autonomous ISTARensuring they are fit for purpose ...

cloud-first data platform. This is a great opportunity to work on high-volume data systems, shaping architecture and enabling real-time analytics and ML use cases. What you’ll be doing: Build and optimise data pipelines & ETL processes Contribute to a cloud migration to AWS (S3, Redshift) Develop lakehouse ...

Knowledge of Docker, Kubernetes, and CI/CD pipelines. Experience with Redis, Celery, RabbitMQ, or Kafka. Familiarity with microservices architecture. Knowledge of AI/ML libraries such as Pandas, NumPy, TensorFlow, or PyTorch is a plus. Qualificat ...