476 to 500 of 1,249 Permanent Machine Learning Jobs

iterative improvement in analytical practices, service delivery, and stakeholder engagement. Proven ability to mentor and develop others, sharing expertise, and fostering a culture of learning and innovation. Detailed understanding of performance measurement frameworks and evaluation methodologies, with the ability to align them to NHS policy and strategic priorities. Ability … designing large scale, complex analytical and reporting projects that deliver strategic insights, including the application of data science approaches such as predictive modelling, machine learning and statistical analysis. Experience in developing and designing insightful, user-focused dashboards (e.g. Power BI/Tableau) that support strategic decision-making ...

transforming financial operations through intelligent automation and advanced analytics and we're doing it with a team that truly loves the challenge.From machine learning and data engineering to financial systems integration, we build scalable, secure AI solutions that help organisations streamline processes, sharpen decision-making, and unlock … tracking outcomes and gathering feedback. You'll work directly with pilot clients to understand their workflows, define success metrics, and ensure we're learning as much as possible from every engagement. Cross-Functional Collaboration You will act as a connective thread across the team, working with product managers, engineers ...

implement scalable data platforms using the Databricks Lakehouse architecture. The role involves building modern data pipelines, optimizing data platforms, and enabling analytics and machine learning capabilities across the organization. Key Responsibilities Design and implement data architectures on the Databricks Lakehouse Platform Build and optimize ETL/ELT pipelines ...

prevention. Responsibilities Lead global risk, trading, and quant analytics teams across MT4/MT5 and proprietary platforms. Build and implement quantitative risk models using machine learning/AI for client classification, order-flow analysis, and predictive risk monitoring. Analyse CFD order flows (with a focus on gold ...

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 ...

intelligent log analysis, failure prediction, code investigation, or automated documentation generation to enhance problem-solving efficiency; basic understanding of common AI models (e.g., machine learning, natural language processing) in business applications Able to use English/Chinese as a working language for technical communication, documentation reading, and writing ...

Market making, systematic execution, or electronic trading in energy or commodity derivatives Asian options, barrier structures, or path-dependent exotics common in commodity markets Machine learning applied to vol forecasting, regime detection, or execution cost optimisation Open-source quant library contributions, published research, or CQF/MFE/ ...

solutions and present actionable insights to stakeholders. Communicate results clearly to key decision-makers to influence pricing strategies. Advance the adoption of statistical and machine-learning methods within pricing, in collaboration with Modelling, Optimisation, and Street Pricing. What we’re looking for: Experience in general insurance pricing with ...

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 ...

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 ...

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 ...

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+ ...