1,251 to 1,275 of 1,444 Permanent Machine Learning Jobs

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 ...

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. ...

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 ...

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 ...

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 ...

native architectures preferred) CI/CD pipelines, GitHub Docker, Kubernetes, Terraform Secure coding practices (OAuth, JWT, SSL) Observability, logging, and monitoring tools Familiarity of ML/AI technologies Key Competencies Strong analytical and troubleshooting skills Excellent written and verbal communication abilities Customer-focused mindset Ability to work independently and collaboratively … Commitment to continuous learning and technical growth Why Join OPC, GTC, and GSOC? Work on impactful, mission-critical enterprise systems Contribute to modernization and cloud transformation initiatives Grow your technical leadership capabilities Be part of a collaborative, innovation-driven IT organization ...

expand AI professional services offerings, contributing to go-to-market strategies and pre-sales activities including proposals and solution positioning Collaborate with Data Scientists, ML Engineers, and cross-functional teams to deliver end-to-end AI solutions that combine technical excellence with business impact Drive innovation by contributing … internal capability development REQUIREMENTS Proven track record of building and delivering large-scale AI systems from concept to production, with expertise in Generative AI, ML frameworks, and MLOps Strong consulting and advisory skills, with the ability to navigate ambiguity and maintain focus on client success in fast-paced environments Demonstrated ...

require a Data Science Consultant to join their Defence & National Security team. You will design, build, and deploy scalable data pipelines and AI/ML solutions that directly support vital national security projects. In order to be successful, you will have the following experience: Experienced in the Python data stack … ready data engineering pipelines Utilise AWS-based infrastructure and services to deploy and manage data workflows Evaluate and implement a variety of AI and ML solutions to solve complex client problems, integrating models smoothly into production systems Creative visualisation techniques to design impactful, intuitive data visuals and dashboards Adhere ...

Disney's Security Solution Review Process, conducting deep technical assessments and shaping enterprise adoption strategies for next-generation capabilities. Assess and secure AI/ML implementations across the enterprise, performing risk-based evaluations to identify threats such as model manipulation, data leakage, and adversarial attacks, and recommending practical mitigation strategies. … security risks into clear, actionable guidance for both technical and non-technical stakeholders. Exposure to emerging technologies and security challenges, such as AI/ML systems, Zero Trust Architecture, and evolving cloud security paradigms. Preferred Qualifications: Hands-on experience across multiple cybersecurity domains, with demonstrated depth in at least ...

Disney's Security Solution Review Process, conducting deep technical assessments and shaping enterprise adoption strategies for next-generation capabilities. Assess and secure AI/ML implementations across the enterprise, performing risk-based evaluations to identify threats such as model manipulation, data leakage, and adversarial attacks, and recommending practical mitigation strategies. … security risks into clear, actionable guidance for both technical and non-technical stakeholders. Exposure to emerging technologies and security challenges, such as AI/ML systems, Zero Trust Architecture, and evolving cloud security paradigms. Preferred Qualifications: Hands-on experience across multiple cybersecurity domains, with demonstrated depth in at least ...

Disney's Security Solution Review Process, conducting deep technical assessments and shaping enterprise adoption strategies for next-generation capabilities. Assess and secure AI/ML implementations across the enterprise, performing risk-based evaluations to identify threats such as model manipulation, data leakage, and adversarial attacks, and recommending practical mitigation strategies. … security risks into clear, actionable guidance for both technical and non-technical stakeholders. Exposure to emerging technologies and security challenges, such as AI/ML systems, Zero Trust Architecture, and evolving cloud security paradigms. Preferred Qualifications: Hands-on experience across multiple cybersecurity domains, with demonstrated depth in at least ...

Python Developer (FastAPI & GenAI) - AI/ML Platform in Sheffield We're partnering with an innovative AI/ML scale-up in Sheffield that is transforming how businesses use AI to automate processes, unlock insights, and drive better decision-making. Following continued growth, they're looking for a Python Developer … services using Python and FastAPI Designing and building REST APIs and microservices Working with cloud infrastructure and modern deployment pipelines Collaborating with AI/ML engineers to integrate LLM and GenAI capabilities into production applications Contributing to architecture, performance, and engineering best practices What we're looking for: Strong commercial ...

platform and accelerate our transformation. The Opportunity You will work closely with our 46-strong engineering team, guiding and influencing how AI, ML, and LLM-based technologies are embedded into our product, processes, and pricing models. Your work will be project-driven, and highly visible — with the unique satisfaction … demonstrate: Either a track record of implementing and documenting CLI & MCP services and advanced AI workflows. or hands-on experience building and deploying ML or Deep Learning pricing/analytical models. You are familiar with Python, AWS and the use of obvious AI platforms such as GPT, Opus, Gemini ...