1,351 to 1,375 of 1,561 Machine Learning Jobs

development Exposure to tooling such as Terraform, APIs, or CI/CD pipelines (desirable) Experience working in Business Intelligence/analytics environments AI/ML Exposure (Essential) Candidates must demonstrate practical exposure to AI/ML, such as: Working with cloud-based AI services (e.g. AWS Bedrock or similar) Supporting … enabled data products or workflows Understanding generative AI concepts, including prompt engineering Exposure to ML pipelines or collaboration with Data Science teams (This does not need to be a core specialism but must be clearly evidenced.) Experience Required Typically 4-8+ years' experience in data engineering/BI roles ...

Will Do As a Data Architect, you will lead the design, implementation, and evolution of enterprise scale data architectures supporting advanced analytics, AI/ML, and mission critical decision making for federal clients. You will serve as a technical authority responsible for ensuring data solutions are scalable, secure, and aligned … with federal and DoD architecture, governance, and compliance requirements. You will work closely with data engineers, AI/ML teams, platform engineers, and government stakeholders to translate mission needs into robust data architectures, leveraging Databricks and Palantir Foundry as core delivery platforms. Key responsibilities include: Lead ...

Will Do As a Data Architect, you will lead the design, implementation, and evolution of enterprise scale data architectures supporting advanced analytics, AI/ML, and mission critical decision making for federal clients. You will serve as a technical authority responsible for ensuring data solutions are scalable, secure, and aligned … with federal and DoD architecture, governance, and compliance requirements. You will work closely with data engineers, AI/ML teams, platform engineers, and government stakeholders to translate mission needs into robust data architectures, leveraging Databricks and Palantir Foundry as core delivery platforms. Key responsibilities include: Lead ...

tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g. ...

maintaining developer-facing platforms, SDKs, or internal tools Comfortable articulating technical architecture, vision, and strategy to both technical and non-technical audiences AI/ML & Ecosystem Knowledge Hands-on experience with LLMs, agentic frameworks, and GenAI tooling (models, APIs, orchestration platforms) Practical experience with RAG architectures, prompt engineering, fine-tuning … advocacy Deeply committed to enabling others and multiplying team impact across 500+ engineers Pragmatic - prefers safely shipping good solutions now over perfect solutions later Learning-oriented - actively seeks to deepen AI knowledge while staying grounded in engineering fundamentals Accountability - takes responsibility for platform reliability, team adoption, and driving measurable ...

Solution Architects through to senior technical leadership. What you'll be doing Designing AI and GenAI architecture strategies and roadmaps Building scalable AI/ML and Agentic AI platforms Working across LLMs, RAG, embeddings and semantic search Supporting AI deployment, governance and integration patterns Collaborating with engineering, data, DevOps … frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure to scalable AI deployment and integration patterns Financial Services or regulated industry experience essential Strong ...

Solution Architects through to senior technical leadership. What you'll be doing Designing AI and GenAI architecture strategies and roadmaps Building scalable AI/ML and Agentic AI platforms Working across LLMs, RAG, embeddings and semantic search Supporting AI deployment, governance and integration patterns Collaborating with engineering, data, DevOps … frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure to scalable AI deployment and integration patterns Financial Services or regulated industry experience essential Strong ...

Solution Architects through to senior technical leadership. What you'll be doing Designing AI and GenAI architecture strategies and roadmaps Building scalable AI/ML and Agentic AI platforms Working across LLMs, RAG, embeddings and semantic search Supporting AI deployment, governance and integration patterns Collaborating with engineering, data, DevOps … frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure to scalable AI deployment and integration patterns Financial Services or regulated industry experience essential Strong ...

/CD pipelines for Databricks notebooks and workflows using Azure DevOPS & Terraform. Collaboration: Work with data Engineers and analysts to enable AI/ML workloads Required Qualifications Education: Bachelor's degree in computer science, Engineering, or a related field. Technical Skills: Proficiency in Python (PySpark), SQL. Cloud Experience: Strong hands … Build CI/CD pipelines for Databricks notebooks and workflows using Azure DevOPS & Terraform. Work with data Engineers and analysts to enable AI/ML workloads Performs Additional Responsibilities As Assigned QUALIFICATIONS: Education and/or experience: Bachelor's Degree in a technical field (statistics, mathematics, science, accounting, finance ...

signal processing (e.g. MEMS microphones, accelerometers) Develop RF communication systems (LoRa/LPWAN, mesh networking) Implement secure communications (encryption, authentication, secure boot) Deploy optimised machine learning models on embedded devices Essential Experience Strong embedded C/C++ development experience Full product lifecycle … experience (concept to production) Low-power system design expertise Sensor data processing and RF communications (LoRa or similar) Embedded security and debugging skills Desirable ML for acoustic detection MEMS microphone systems OTA updates and noise mitigation Start-up experience If you're looking to build intelligent, low-power sensing systems ...

data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI.As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape … specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading ...

data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI. As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape … specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading ...

robust and explosive DataOps business. Series C funded (raised over $60m this year ). They have built a product that leans into blending machine learning models and data annotation to help businesses save time and money! What You’ll Get This is a key hire ...

have GPU/CUDA acceleration experience Knowledge of concurrency, networking, or OS-level systems Experience with distributed or cloud-based architectures Exposure to machine learning applied to vision systems ...

Salary: .000 € per year Requirements: Expertise in modern cloud/cloud-native architectures and a proven track record delivering production-grade AI/ML solutions (deep learning, generative AI) that solve real business problems. Hands-on experience designing scalable, production-ready AI systems and leading greenfield builds, migrations … context protocol (MCP) for secure, standardised connections between AI agents and enterprise systems/tools. Additional nice-to-haves: Advanced techniques: model distillation, federated learning, autonomous agents or multi agent systems. Experience with AI ethics, governance, bias detection and responsible AI practices for high compliance environments. Hands on skills ...

intersection of three businesses: (1) a private equity investment arm, (2) an in-house AI transformation firm that designs and deploys bespoke GenAI, ML, and automation solutions, and (3) a suite of proprietary software products. Our team comes from places like Google, Palantir, Meta, Surge AI, Blackstone, TPG, Cerberus, Millenium … end. About You: You are a hybrid: part technologist, part strategist, part operator. You are equally comfortable whiteboarding a model architecture with an ML engineer, presenting an AI transformation roadmap to a private equity partner, and pressure-testing an LBO model. You move fast, you think in structures ...

driven initiatives. * This role will suit someone with a strong foundation in AWS data engineering and BI, alongside practical exposure to AI/ML concepts or tools. * Design, build and optimise data pipelines and data platform components within AWS * Support and enhance Business Intelligence reporting and analytics capabilities * Contribute … services (e.g. AWS Bedrock or similar) * Supporting AI-enabled data products or workflows * Understanding of generative AI/prompt engineering concepts * Exposure to ML pipelines or collaborating with Data Science teams * Typically 4-8+ years' experience in data engineering/BI roles * Proven experience delivering AWS-based data solutions ...

Data Science/ML Engineer (Contract) Glasgow (1 day per week) 600/day (Outside IR35) 3 Months We're hiring a hands-on ML Engineer to help a growing data-led marketing business unlock the value of its dataset across lead generation and tender platforms. The role: Building intelligent … enrich CRM data and extract insight from transcription data. Identify key data signals driving revenue and optimise over time. Deploy solutions in a cloud ML environment (GCP/Vertex AI) What we're looking for: Strong commercial Data Science/ML experience. Python and cloud ML platforms (GCP/Vertex ...

passionate about designing and operating highly scalable cloud native data platforms on AWS, enabling data driven development, and supporting advanced AI/ML solutions in a complex IoT environment. If you are an AWS strong Data Engineer with production experience, we value this more than prior domain specific background. … data infrastructure in AWS Architect and implement scalable, secure, and cost efficient data pipelines using AWS-native services Work closely with data scientists, ML engineers, and development teams to define data contracts, schemas, and access patterns Enable and support automated AI/ML and MLOps workflows, including repeatable training ...

images, technical documents, drawings, site photos, spatial data, material surfaces, and building elements must be interpreted together with verified technical knowledge, semantic classifications, and machine-interpretable data models. This is not a conventional image recognition role. You will help connect visual AI outputs with verified data, taxonomy, ontology … YOLO, and Detectron2. Hands-on experience in several of the following areas: object detection, segmentation, OCR, tracking, image classification, or video analytics. Experience with ML Ops practices and tools such as Docker, Kubernetes, MLflow, and Weights & Biases. Systematic approach to model evaluation, benchmarking, data quality control, and error analysis. Familiarity ...

PowerBI, Tableau, Looker,... Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. ...

data Creating reports, data pipelines, dashboards, and AI agents Supporting digital and data life-cycle improvement projects Assisting with forecasting and predictive analysis through ML models Working with different departments to translate business challenges into data solutions. Learning programming (SQL, Python, DAX and others), analytics, and data science techniques ...

prompt design, guardrails) Agentic AI development (one or more: Amazon Q/Kiro, GitHub Copilot, Cursor, Claude) Python scripting for automation and AI/ML integration Comfortable working in an Agile environment Proficient in modern development practices and tools, with a strong desire for continuous learning and skill development ...

workflow-driven AI systems Drive adoption of AI across enterprise functions (e.g., HR, Finance, Tax, Insurance, Operations) Lead architecture and design for AI/ML model lifecycle, MLOps, explainability, and model governance Evaluate and integrate emerging AI technologies through PoCs and production-grade solutions Cloud, Data & Platform Architecture Design cloud … with significant leadership scope Proven track record as Enterprise/Chief/Principal Architect in large, complex organizations Hands-on experience architecting AI/ML and GenAI platforms at enterprise scale Experience working with financial services or highly regulated industries preferred Technical Expertise AI/ML, Generative AI, LLMs ...

business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof … transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable ...