126 to 150 of 350 Machine Learning Jobs in the South East

Understanding of data architecture concepts, including data warehousing and data lakes. Exposure to cloud computing environments such as Microsoft Azure. Exposure to predictive analytics, machine learning, AI-enabled analytics or advanced statistical methods. Experience working with customer, commercial, subscription, product usage or behavioural datasets. Behaviors and Mindset: Demonstrates … reliable. Works collaboratively across Customer Insights, Product, Commercial, Technology and Data teams to build a more joined-up view of the customer. Shares learning openly, seeks input from others and helps translate business questions into clear analytical approaches. Acts with agility by adapting to changing priorities, working through ambiguity ...

engineering standards. Your Responsibilities: Design and build robust services(APIs,CLI toolsand software modules)that power scientific applications and products. Bridge diverse components, integrating ML inference servers, hardware interfaces, and data pipelines into cohesive systems, while ensuring high availability and low latency. Own the full production path—from architectural design … implementing and deploying robust, scalable distributed systems in production. Demonstrated experience designing, managing, and orchestrating complex systems involving scalable data infrastructure, hardware interfaces, and machine learning models. Expertise in defining and exposing functionality via clean, well-documented APIs (e.g., REST, gRPC). Proven experience implementing and managing robust ...

hiring a Machine Learning Scientist to help build a privacy‐preserving generative AI ecosystem for regulated deployment. You’ll work on ML services, data pipelines and live deployments, collaborating with CODAS and partners to translate research into dependable, scalable systems. We value a strong ML research background, Python ...

data analysis and database engineering, including recruitment, objectives, performance and career development. Build a high-performing, connected data function by creating stretch opportunities, encouraging learning across disciplines and setting a culture of accountability, psychological safety and continuous improvement. Own and deliver the roadmap across the Databricks platform, analytics capability … data quality frameworks. Experience managing a multi-disciplinary team where the disciplines do not naturally talk to each other. Awareness of how AI and machine learning workloads change the demands placed on a data platform. What to expect next: 1st stage: Introduction call with a member ...

zones and appropriate operator controls. Develop computer vision and perception solutions, translating operational and user needs into effective pipelines spanning image processing, deep learning, 3D perception, scene reconstruction and spatial reasoning. Integrate multimodal data, combining 2D and 3D sensor information to support navigation, inspection, mapping, change detection, object detection … Gaussian Splatting, NVIDIA Omniverse, Unity or Unreal, or knowledge of model explainability, open‐source licensing or CI/CD‐based testing of robotics and machine learning pipelines. These are helpful additions rather than essential requirements. Most importantly, we’re looking for someone who is curious, collaborative and thoughtful ...

expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection … delegate tasks to analysts What You Will Bring 5+ years of experience leading incident response investigations involving ransomware Experience leading BEC investigations Continuously learning and staying informed of the changing threat landscape Proven track record of successful neutralization and remediation of ransomware threats Excellent understanding of the Incident Response ...

managers, and other sophisticated clients worldwide. The firm specializes in quantitative investing, alternative investments, systematic trading strategies, and technology-driven asset management. Data science, machine learning, and AI are core components of its investment and research processes. As part of our collaboration we will focus on two foundational ...

Desirable experience includes: Azure cloud technologies and multi-cloud environments AWS Control Tower and AWS Organisations API and integration technologies Containerisation and Kubernetes AI, machine learning, or cloud-based data platform exposure Consultancy or professional services environments AWS certifications such as Solutions Architect, SysOps Administrator, or Security Specialty ...

projects. About You You’ll be an experienced data professional who excels in Python, with a proven ability to develop powerful data visualisations, implement machine learning models, and deploy solutions in the cloud (Azure). You understand the value of DevOps principles, version control, and integrating technical solutions ...

Knowledge of Onsite/project tech stack includes but is not limited to Azure, AWS, Docker, Kubernetes, Apache (NiFi, Kafka), NodeJS, Typescript, MongoDB, AI, Machine Learning etc. Just as important are curiosity, strong problem solving ability, and the motivation to continuously improve how technology is designed and delivered. ...

infrastructure components, data pipelines, and custom data apps. Common operational visibility of the data platform from data platform infrastructure to data pipelines, machine learning apps. Assisting client application developers and advising on efficient data access and manipulations. Defining and implementing efficient operational processes. What We Need From ...

audiences. Desirable Experience replacing or modernising legacy business systems. Experience delivering FileMaker migration projects. Microsoft Certifications. Azure Certifications. Experience implementing AI‐enabled technologies and machine learning solutions. Knowledge of identity verification, compliance or regulated industries. Experience working within ISO‐certified environments. At Target, we are guided ...

frameworks and release management best practices. Define and deliver APFN's enterprise data strategy, governance framework and application roadmap. Evaluate emerging technologies, including AI, machine learning and modern data architectures, to maximise business value. Provide leadership, direction and thought leadership across technology, product and business functions. About ...

experience supported by professional certification/licences (Required) Languages: English (Required); Spanish or experience working across international teams (Preferred) Hard Skills: Strong knowledge of machine learning, natural language processing, generative AI, experimentation, statistical analysis and model evaluation (Required) Experience owning a digital, data or AI product through ...

Posted on 29/10/2025 We provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market. Job Description Job Summary We are seeking a highly skilled Identity Engineer with hands ...

over 25 countries. We are a specialist digital transformation solutions provider, focused on Microsoft 365 and other latest technologies such as AI/Machine Learning. Our customers include UK, USA, UAE, and Australian government departments and enterprises in various domains including space, financial services, engineering, research, legal, manufacturing ...

culture. As a Fraud Data Scientist, you will be responsible for developing and improving the organisation's fraud prevention capabilities through advanced analytics and machine learning. Key responsibilities include: Owning fraud analytics and fraud prevention initiatives across the business. Developing fraud detection, fraud scoring, and identity verification models. Enhancing ...

Qualifications What you'll bring Excellent communication and collaboration skills to engage with both technical and non-technical stakeholders. Demonstrable experience in AI/ML or GenAI cost management, including token-based consumption models, together with practical experience of FinOps or cloud financial management. Experience in Azure is strongly preferred. ...

best practices to support the end-to-end machine learning lifecycle. Collaborate with Data Engineering and Data Science teams to operationalize ML models through CI/CD, automated testing, deployment, and monitoring capabilities. Ensure robust security, compliance, and governance controls across the platform, including access management, data protection ...

automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes. Our team … product design, installations, testing, troubleshooting, installer certification, audits, documentation, and strategic initiatives. You will work closely with Product, R&D, Sales, Field Services, Learning and Development, customers, resellers, and installation partners to ensure Geotab solutions are designed, installed, and supported effectively. To be successful in this role, you will ...

zones and appropriate operator controls. Develop computer vision and perception solutions, translating operational and user needs into effective pipelines spanning image processing, deep learning, 3D perception, scene reconstruction and spatial reasoning. Integrate multimodal data, combining 2D and 3D sensor information to support navigation, inspection, mapping, change detection, object detection … Gaussian Splatting, NVIDIA Omniverse, Unity or Unreal, or knowledge of model explainability, open-source licensing or CI/CD-based testing of robotics and machine learning pipelines. These are helpful additions rather than essential requirements. Most importantly, we're looking for someone who is curious, collaborative and thoughtful ...

Troubleshoot issues and improve reliability and accuracy. Required Experience Commercial software development experience. Strong skills in Python and/or JavaScript. Experience with AI, machine learning or generative AI applications Knowledge of APIs, databases and cloud platforms. Familiarity with Git, testing and CI/CD practices. Key Skills ...

application development. Networking technologies (Ethernet, Wi-Fi, IP, VLAN, SNMP). Microsoft Azure and cloud-connected products. Python development. CI/CD and GitLab. Machine learning or data analytics. What We're Looking For Strong problem-solving skills. Excellent attention to detail. Ability to work independently and within ...

teams using SCRUM framework Willing to take on, drive, and complete projects and tasks relating to data transformation, data warehouse, BI, MI, AI, and machine learning Willing to take and pass AWS certifications as necessary for the role Strong SQL, T-SQL and query writing skills to intermediate ...

skillsSelf-Starter; willing to learn new technologies, ability to learn fast Knowledge of Eclipse RCP and Eclipse OSGi Swing and SWT experience Understanding of Machine Learning technologies (Python, TensorFlow etc.) Experience in Geophysics and/or Geology domain especially Oil and Gas Undergraduate degree in Software Engineering, Computer ...