651 to 675 of 1,371 Permanent Machine Learning Jobs

focuses on roles employers repeatedly hire for: Java full stack, software programming, Python/Java development, DevOps, data analyst, data engineer, data scientist, and ML/AI engineer. In other words, the program builds candidates across Java/Full Stack/DevOps and Data Analytics/Data Engineering/Data … Science/Machine Learning/AI-because companies hire teams, not single-skill candidates. Ideal candidates who benefit from interview-focused help This includes: recent grads with limited experience, laid-off professionals re-entering the market, career changers, candidates with gaps, experienced applicants who can't convert interviews ...

focuses on roles employers repeatedly hire for: Java full stack, software programming, Python/Java development, DevOps, data analyst, data engineer, data scientist, and ML/AI engineer. In other words, the program builds candidates across Java/Full Stack/DevOps and Data Analytics/Data Engineering/Data … Science/Machine Learning/AI-because companies hire teams, not single-skill candidates. Ideal candidates who benefit from interview-focused help This includes: recent grads with limited experience, laid-off professionals re-entering the market, career changers, candidates with gaps, experienced applicants who can't convert interviews ...

Desirable Experience with AWS, Azure, or Google Cloud Docker and Kubernetes experience Knowledge of event-driven architectures and message queues Exposure to data engineering, machine learning, or AI platforms Experience leading technical projects or mentoring engineers What We Offer Competitive salary and performance bonus Flexible and hybrid working … arrangements Private healthcare Pension contribution Learning and development budget Modern equipment and tools Clear progression opportunities into Lead and Principal Engineering roles Cooperative, inclusive, and high-performing engineering culture RSG Plc is acting as an Employment Agency in relation to this vacancy. ...

time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the Business LexisNexis Legal & Professional are a leading global provider … give organisations the business information and analytics they need to make better, more impactful decisions. We are building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and enhance decision making. We know your well-being and happiness ...

Supporting the development of AI driven code and infrastructure security analysis What you'll bring: * Strong software engineering background with experience building AI/ML-powered systems * Experience working with modern machine learning frameworks and model development * Experience building scalable data pipelines or AI infrastructure * Strong programming skills ...

mission-critical, and right now, most of that complexity is still handled by hand. This company is changing that .Built on years of machine learning PhD expertise, backed by a top-tier venture firm, and now operating at global scale following a high-profile acquisition, this team … compositional API primitives that accelerate the productionisation of a growing library of document insi ghtsBuild and maintain integrations with third-party services and internal ML sys temsContribute to frontend features and components as needed to deliver end-to-end functiona lityDrive performance optimisation for data-intensive backend operat ionsChampion engineering ...

just writing code in the corner. We’re looking for an ambitious Yocto/Embedded Developer who loves tackling technical challenges, learning fast, and working with smart, supportive engineers. Be eligible for UK SC clearance What You’ll Do Design and build high-performance software used by thousands … build something great together. Graduate Software Developer, Junior Developer, Entry-Level Developer, Python Developer, C++ Developer, Computer Science Graduate, Full Stack, Software Engineer, Cloud, Machine Learning, JavaScript, Coding Graduate, Graduate Technology Jobs, Yocto developer, Embedded Developer ...

logging Comfortable operating in fast-paced, product-led environments Nice to Have Experience with RAG pipelines, vector databases, or AI agents Exposure to machine learning workflows and applied AI systems Experience building internal AI platforms, copilots, or automation tools Startup or scale-up experience Why Apply? Join ...

communication skills Experience operating within Agile delivery environments Desirable Experience Microsoft Fabric Power BI development PySpark REST API integrations Lakehouse architectures AI and Machine Learning platforms Retrieval Augmented Generation (RAG) Vector databases Generative AI solutions Power Platform technologies Data transformation or modernisation programmes What We're Looking ...

work experience Desired 6 Years in Supply Chain and Procurement as a data analyst or a data scientist Masters Degree Hands on experience deploying machine learning, generative AI, or agent based systems into production business workflows for Supply chain Experience operationalizing AI solutions within enterprise platforms (e.g. ...

Desirable Skills Experience with ServiceNow platforms and solutions. Knowledge of Microsoft Dynamics 365. Experience with MuleSoft, Talend, and enterprise integration technologies. Understanding of AI, Machine Learning, Generative AI, and intelligent automation solutions. Knowledge of Azure and AWS cloud services. Experience working with UK Government, NHS, Local Government, Financial ...

Operations strategy - with a key focus on Communication, Problem solving, technical skills in Web and DB, and delivering new tools, automations, API's and machine learning/AI solutions. The ideal candidate will have extensive experience in software development and problem solving, who can extract the process performance ...

migrations, including CDC approaches Strong Python and SQL skills Understanding of data platforms (e.g. Snowflake/CDP) and ingestion pipelines Exposure to AI/ML enablement frameworks (.e.g AWS SageMaker) and supporting infrastructure for model training, deployment Familiarity with modern development and deployment frameworks Experience with dbt/ELT patterns ...

documentation and architectural design experience (HLD/LLD). Experience within Banking or Financial Services. Exposure to DevOps tooling, preferably Terraform. Experience working with ML/AI and data tooling within GCP environments. Familiarity with Agile or iterative delivery models. Robert Walters Operations Limited is an employment business and employment ...

aligned with strategic goals. Your responsibilities: 1. Product Strategy & Roadmap Define the vision, strategy, and roadmap for data products (e.g., dashboards, data platforms, APIs, ML models). Identify opportunities to leverage data for business growth and operational efficiency. Translate business requirements into actionable product features and user stories. 2. Stakeholder ...

data lake patterns, and PrivateLink for cross-cloud data connectivity. AI Readiness : Practical experience architecting data infrastructure for AI/ML consumption - vector databases, embedding stores, and RAG pipeline integration. Soft Skills: Strong interpersonal skills; ability to translate complex data architecture into clear language for Business Analysts and non-technical ...

standards across enterprise platforms. Desirable Skills Experience with Kestra or similar modern orchestration platforms. Knowledge of Snowflake Native Apps, Snowpark, and emerging AI/ML capabilities within modern data platforms. Exposure to vector databases, embeddings, retrieval-augmented generation (RAG), and AI-ready data architectures. Retail, wholesale, supply chain, or large ...

Design, develop, and deploy AI-integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Build and refine LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations. Collaborate with clients to understand requirements ...

scalable, fault-tolerant systems across cloud (AWS, GCP, Azure) and on-prem environments. Champion Observability: Implement advanced telemetry and monitoring practices, leveraging AI/ML for predictive insights and proactive reliability improvements. Modernize Infrastructure: Guide teams in automating infrastructure and CI/CD pipelines using tools such as Terraform, Ansible ...

following, NetScaler Apigee, Cloudflare, Akamai, Kubernetes networking Experience with edge computing or hybrid cloud Familiarity with FinOps or cloud cost optimization AI/ML infrastructure support (e.g., MLOps pipelines) About Us Markerstudy Insurance Services Limited (MISL) is one of the largest Managing General Agents in the UK. With a strong ...

Company Description Ededge Learning is a ground-breaking organization dedicated to nurturing the potential of our youth and empowering them to explore the vast world of technology and other high-growth fields. Our upcoming initiatives will provide invaluable learning experiences by allowing audiences to gain insights from accomplished … Work closely with our esteemed data science team to gather, refine, and analyse extensive datasets, refining skills in data pre-processing and visualization. Apply machine learning and data mining methods to derive insights from large datasets, including identifying Excel interface structures. Utilize Python programming for Exploratory Data Analysis ...

stack engineer, Python/Java developer, DevOps/cloud engineer, plus data-track roles like data analyst, BI analyst, data engineer, data scientist, and ML/AI engineer. The focus areas remain: Java/Full Stack/DevOps and Data Analytics/Data Engineering/Data Science/ML/ ...

stack engineer, Python/Java developer, DevOps/cloud engineer, plus data-track roles like data analyst, BI analyst, data engineer, data scientist, and ML/AI engineer. The focus areas remain: Java/Full Stack/DevOps and Data Analytics/Data Engineering/Data Science/ML/ ...

analytics efforts. Data Architecture Serve as owner for enterprise data architecture including developing strategy, standards Ensure data policies, standards, and controls support AI/ML, GenAI, and analytics use cases. Establish standards for Data Products Ensure the enterprise data architecture is fit-for-purpose for AI at scale, not just … data products, data mesh/fabric, feature-ready data layers) Align data architecture to AI use cases such as: GenAI (context + retrieval layers) ML models (training + feature pipelines) Real-time decisioning (streaming architectures) Advocate for architecture patterns that enable: Structured and unstructured data integration Metadata-driven pipelines High ...

demand often includes entry-level software programmers, Java full stack developers, Python/Java developers, DevOps engineers, data analysts, data engineers, data scientists, and ML/AI engineers. The focus remains consistent: Java/Full Stack/DevOps plus Data Analytics/Data Engineering/Data Science/Machine Learning/AI. This breadth matters because today's employers value candidates who can handle more than one layer of the system. Ideal candidates for response-building support Recent grads, laid-off professionals, career switchers, candidates with gaps, experienced applicants not hearing back, and F1/OPT jobseekers ...