826 to 850 of 1,401 Permanent Machine Learning Jobs

areas for improvement. Develop dashboards and data visualizations using business intelligence tools to support decision-making and communicate statistical findings. Apply statistical and machine learning models to support forecasting, hypothesis testing, and behavioral analysis. Clean, transform, and standardize datasets for accurate and consistent statistical analysis. Design and evaluate ...

leadership, including acting as a key partner to the Director of AI Y our Skills and Experience * Strong commercial experience in AI engineering or machine learning, ideally evolving from a data science background * Proven experience building and deploying LLM based applications in production environments * Experience working with cloud ...

into business workflows API integrations and backend services Greenfield client projects and internal Conquer AI product work Core skills we’re looking for: Strong machine learning experience Strong traditional software engineering background Python Node.js TypeScript LLMs RAG Vector databases Agentic AI systems Workflow automation API integrations Backend engineering ...

Strong software engineering background Deep backend experience, ideally with Python and/or Node.js Experience with LLMs, RAG, agents, workflow automation, or applied machine learning Ability to think in systems, not just isolated features Comfort integrating with APIs, databases, enterprise platforms, and third-party tools Strong communication skills ...

with backlog ownership Ability to translate complex technical concepts into business value Strong stakeholder management and communication skills Desirable experience Exposure to AI/Machine Learning within data platforms Experience in regulated or data-sensitive environments Knowledge of data governance and risk frameworks Experience supporting large-scale platform ...

simulation software Cloud platforms such as AWS (including EKS) or Azure Containerisation tools such as Docker or Kubernetes Full stack development (Vue, TypeScript, Django) Machine learning or AI pipeline development Experience with engineering, scientific, or simulation-driven applications (e.g. CFD/FEA) What Next ...

suggestions are managed effectively, acting as the final escalation point before the CEO Explore new data sources, data gathering methodologies and opportunities to utilise Machine Learning and Artificial Intelligence (AI) Travel as required Define and maintain company governance policies Collaborate with cross-functional teams to integrate solutions into ...

Responsibilities Design and develop system architectures for advanced engineering solutions, particularly within autonomous systems Collaborate with multi-disciplinary teams including software, embedded, safety and machine learning engineers Conduct system-level analysis, trade-off studies and risk assessments Define and manage system requirements, interfaces and specifications Oversee implementation, integration ...

looking for robust OOP programming skills, software design patterns/best practices and practical experience applying TDD. Experience with Cloud services (AWS or Azure), Machine Learning, CI/CD and IAC using Terraform would be standout.We are looking for a connection with the Scientific/Applied/Mechanical ...

industry: meet the most innovative partners, deliver cutting-edge projects, and see the industry from backstage. Sooner than you think, you’ll talk about Machine Learning, DevOps and AI like a pro. Progress: Every day offers new challenges and new opportunities to learn. At Artefact, we take training ...

measurable business impact from data Strong programming skills (Python/R) SQL and experience working with large, complex datasets Solid understanding of: Statistical modelling Machine learning techniques Experimental design and testing Experience with cloud/data platforms or scalable pipelines Strong problem-solving and analytical thinking Ability ...

consultative approach with clients to win new work. Proven experience delivering AI solutions in complex environments. Strong technical knowledge of AI for example, Machine Learning, AWS AI, Azure AI, GenAI and Agents. Experience with digital assistant solutions enhanced by AI such as Microsoft Copilot. Demonstrable experience with Retrieval ...

secure our nation. Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem solvers to develop next-generation capabilities and advance your skills while protecting our country. ...

event-driven architectures Strong consulting and stakeholder management experience, with the ability to bridge business and technical teams Knowledge of AI/ML enablement platforms and supporting infrastructure such as AWS SageMaker Strong leadership, communication, delivery governance, and programme management capabilities If this sounds you, please apply ...

background • Ability to build trust and confidence with senior stakeholders • Experience delivering AI solutions into production • Strong Python engineering fundamentals • Azure AI Foundry, Azure ML, Databricks, SageMaker, Bedrock, or similar • MLOps, CI/CD, observability, and production AI delivery • Experience leading teams, workshops, and technical discussions You’ll be: • Leading ...

Software Engineer to work on highly impactful projects in the Cyber and Intelligence space. The team works on a range of solutions across AI, ML, DevSecOps and Geospatial Intelligence and embraces the latest technologies in order to deliver secure, mission critical systems for its customers. This is a great chance ...

Software Engineer to work on highly impactful projects in the Cyber and Intelligence space. The team works on a range of solutions across AI, ML, DevSecOps and Geospatial Intelligence and embraces the latest technologies in order to deliver secure, mission critical systems for its customers. This is a great chance ...

internal visibility, alongside experienced Data Scientists and AI Engineers. Role Summary You’ll help design, build, and deploy AI-powered applications using both traditional ML and modern LLM tooling. Projects include AI sales assistants, underwriting automation, internal summarisation systems, and workflow efficiency tools. Key Responsibilities • Build and deploy production-grade ...

SaaS/PaaS, Prompt Engineering, Agentic Workflows, Platform Systems, Remote (UK) *PLEASE READ BEFORE APPLYING* Proven experience in designing, deploying, and scaling AI/ML systems is essential. You must also be willing to collaborate on-site as needed and engage closely with cross-functional teams to deliver high-impact ...

Analysts, and commercial stakeholders to ensure models are practical and impactful. Your Skills and Experience Strong commercial experience using Python for Data Science and Machine Learning. Confident working with SQL to access and manipulate data. Proven experience delivering end-to-end Data Science solutions, including deployment into production environments. ...

27001. Understanding of healthcare data protection, ideally NHS/UK standards. Strong incident response, analytical, and problem-solving skills. Knowledge of AI/ML risks and AI governance. Experience with phishing campaigns, penetration testing, and remediation. Excellent communication skills across technical and senior stakeholder groups. Organised, proactive, and committed ...

pharma, biopharma, or large-scale manufacturing/supply chain./li li Strong technical fluency: data engineering & pipelines, cloud platforms, data science & AI/ML product delivery, MLOps/DataOps principles./li li Skilled at influencing product direction across cross functional, multi-region teams./li li A strategic ...

JavaScript frameworks - REACT Backend: Python (or GoLang) Database: SQL-based systems Cloud: GCP ideally but open to other cloud providers Exposure to AI/ML and modern data tooling - BONUS What They're Looking For Experience building full stack applications - React, Python or GoLang Strong data and SQL fundamentals Exposure ...

Istio, Linkerd) and configuration management tools (e.g., Chef, Puppet). Knowledge of site reliability engineering (SRE) principles and practices. Familiarity with GCP AI/ML services (AI Platform, AutoML). In return, you will be rewarded with ongoing career development and a market leading benefits package in a flexible, hybrid ...

Life, Health, and P&C insurance. Drive adoption of AI and automation for efficiency and risk reduction. Lead digital initiatives using data, analytics, and ML models. Collaborate with internal teams to deliver measurable business outcomes. Qualifications: Bachelor s degree in Business, Technology, or a related field; MBA preferred. ...