526 to 550 of 1,352 Machine Learning Jobs

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. ...

most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around ...

micro‐service architectures, event‐driven architectures and data processing at scale. You will work with a range of specialist teams which may include machine learning, APIs and networking, and client applications (on web, mobile and TV). Approaches to standardisation and governance, such as to manage efficiency, security ...

architecture and technical direction Mentor others and drive engineering excellence Continuously improve tools, processes, and team practices 🛠 Tech: Golang, React/TypeScript, Python, ML models, MySQL, Docker, Kubernetes, AWS/GCP/Azure, CI/CD ✅ What they’re looking for: 5+ years in software engineering Strong fundamentals in clean ...

with a small, high-impact team delivering real-world AI products. What We’re Looking For Strong Python experience and familiarity with AI/ML frameworks. Hands-on experience with LLM pipelines, embeddings, and RAG systems. Experience with cloud platforms (AWS, GCP) and containerization is a plus. Degree in Computer ...

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 ...

knowledge and experience with cloud technologies. Understanding of security standards and compliance requirements within the industry. Experience in engineering or working with AI/ML systems. Proven problem-solving skills with a focus on building robust, fault-tolerant systems. Experience scaling software and infrastructure in response to growth. Effective leadership ...

that transform data from operational systems into trusted, analytics-ready assets. Your work will enable high-quality reporting, insight generation, and future AI/ML initiatives across the business. What You'll Do * Build & Maintain Pipelines: Develop ELT/ETL pipelines using dbt, Python, and orchestration tools. * Work with Snowflake ...

their platform. You'll be working with real-world, messy data and shaping it into reliable, decision-ready datasets used across product, analytics, and machine learning. Python/PySpark and SQL are central to the role. The Role: ·You'll design and maintain data pipelines, handle edge cases ...

week. Key responsibilities Front end implementation for a React application Visualizing and interacting with scientific data and workflow progression Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high quality software implementations according to best practices, including automated test suites and documentation Develop, measure ...

week. Key responsibilities Front end implementation for a React application Visualizing and interacting with scientific data and workflow progression Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high quality software implementations according to best practices, including automated test suites and documentation Develop, measure ...

efforts in the UK market. The ideal candidate will have a proven track record in selling digital transformation solutions around Data, Cloud, AI/ML, GenAI and a deep understanding of the Retail, CPG, and Manufacturing sectors. This role requires a strategic thinker with excellent leadership skills, who can drive ...

Retail, CPG, OR Manufacturing). The ideal candidate will have a proven track record in selling digital transformation solutions around Data, Cloud, AI/ML, GenAI and a deep understanding of the Retail, CPG, and Manufacturing sectors. This role requires a strategic thinker with excellent leadership skills, who can drive ...

based systems. Awareness of secure coding practices and modern cybersecurity threats. Knowledge of principles used in Agile environments. Desirable exposure Any exposure of AI, ML, Cloud or Virtualisation would be considered a plus. Clearance required You will already hold an active eDV security clearance This is an incredible opportunity ...

checks across large datasets Investigate data issues and improve reliability, consistency and trust in the outputs Work closely with Product, Data Engineering, Apps and ML teams to deliver new features and improvements Keep documentation clear, current and genuinely useful This is a role for someone who cares about how data ...

Must have experience building data engineering pipelines in Azure Experience in Azure including Azure Fabric, Data Factory and Azure integrated services such as ML Studio, Foundry, Synapse, Cosmos Deep expertise in deploying and scaling generative AI solutions within Azure, including proficiency with databases, Prompt Flow, virtual machines, and Azure Foundry. ...

GRPC. Containerization using docker/Kubernetes Exposure to Java based client frameworks Exposure to Azure, cloud services, or distributed architectures. Interest in AI/ML and how it can enhance enterprise software. Agile sprint methodology Why You’ll Love working here Real Impact: Ship features that solve real problems Strong ...

cloud-native architectures. Proficiency in Python and security automation; experience with Terraform/IaC and CI/CD security integration. Familiarity with AI/ML frameworks and tooling: Hugging Face, LangChain, TensorFlow/PyTorch, agentic frameworks, RAG patterns. Experience with secret management (Azure Key Vault, HashiCorp Vault), API security (OAuth2 ...

technical audiences Escalate risks and propose mitigation strategies proactively Support documentation of architecture, pipelines, and operational processes Good to Have Exposure to AI/ML data workflows (feature engineering, model inputs, MLOps basics) Awareness of LLMs/Agentic AI architectures from a data platform perspective Experience with other platforms such ...

Agile methodologies and ways of working. Knowledge of attacker TTPs, threat modelling, and cyber security frameworks. Understanding of statistics, data science, or AI/ML as applied to security. Awareness of ISO 27001 standards. Relevant cyber security certifications (e.g., MS-500, AZ-500, SC-200, SC-300, SC-400, Security+ ...

Agile methodologies and ways of working. Knowledge of attacker TTPs, threat modelling, and cyber security frameworks. Understanding of statistics, data science, or AI/ML as applied to security. Awareness of ISO 27001 standards. Relevant cyber security certifications (e.g., MS-500, AZ-500, SC-200, SC-300, SC-400, Security+ ...

helps users and customers get the most out of Nono. What We're Looking For AI engineering experience. You understand how modern AI/ML workloads are built, deployed, and orchestrated. Familiarity with agent frameworks and LLM-based systems is a strong plus. Rust and Python proficiency. ...

automation tools applied to project management workflows (e.g., AI-assisted scheduling, automated status reporting, predictive analytics for risk identification) (Preferred) Experience leveraging AI/ML platforms or tools to improve efficiency in HEOR research operations (e.g., automated literature screening, NLP-based data extraction, generative AI for report drafting) Familiarity with ...

capabilities are surfaced in the platform. About You 5+ years in software engineering. 1–3 years of experience in AI/ML or LLM-based development in a fast-paced startup environment. Proven track record building and deploying production-grade agentic systems — ideally automating complex, multi-step workflows. Hands ...

design). Design scalable, secure data solutions leveraging cloud platforms (Azure, AWS, or Oracle). Ensure data architecture supports advanced analytics, BI, AI/ML, and operational reporting. Oversee data architecture aspects of major change initiatives and programmes. Produce high-quality architecture deliverables and ensure they are integrated into delivery ...