176 to 200 of 350 Machine Learning Jobs in the South East

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 ...

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 ...

regulated industry. Experience working on publicly funded, grant funded, consortium or multi partner programmes with formal reporting, governance or evidence requirements. Experience delivering AI, machine learning, data platform, privacy, cyber security or other research and development initiatives. Familiarity with formal programme reporting and assurance requirements, particularly where delivery ...

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 ...

solutions that enable analytics, automation and AI-driven business outcomes. You will develop Snowflake-based data platforms to support reporting, data science and ML workloads, and create automated data pipelines with governance. You will collaborate with stakeholders, promote best practices in SQL, Python, data modelling and AI development, and drive ...

project ownership, mentoring junior staff, and collaborating with Market Pricing, Retail Pricing and Underwriting teams. The ideal candidate will have strong ML, Python, SQL and data science platform experience, with a focus on turning insights into actionable pricing strategies in a hybrid work #J-18808-Ljbffr ...

Data Management, Data Analysis or Data Governance, with strong skills in: * Data quality and profiling * SQL and Python * Metadata, lineage and taxonomies * AI/ML concepts and model monitoring * Working within a regulated environment, ideally insurance or financial services * GDPR, data protection and responsible AI This is a unique opportunity ...

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 ...

Experience VMware NSX, vSAN, and Software-Defined Data Centre technologies. Edge computing and distributed infrastructure architectures. Green Data Centre and sustainability initiatives. AI/ML, GPU, and high performance computing environments. Advanced observability and AIOps platforms such as Dynatrace or AppDynamics. FinOps and infrastructure cost optimisation experience. DevSecOps integration ...

containerisation. Software from design to delivery in modern IDEs and languages. Experience in supporting areas is also beneficial, which could include: AI and ML models and their usage. Embedded systems, firmware internals and hardware abstractions. Cloud technologies, including AWS. Wireless communications and software defined radios. Why Join Roke? You' work ...

product line management experience* Application of telecom data modeling, schema design, graph or ontology structures, and enterprise data management tools* Application of AI and ML data requirements including feature stores, training data pipelines, data lineage, and model grounding techniques for GenAI or LLM use cases* Background in OSS environments including ...

connectivity and data residency for network intelligence platforms. Migration and coexistence strategies for legacy tools and platforms. Standard platform capabilities (data pipelines, AI/ML, automation, observability, security) Architectural principles and target architecture for MSN tools and platforms Optimizes MSN operating models for cloud-based delivery, ensuring cloud investments drive ...

TOGAF, SysML, UML) Experience of working with contemporary technologies and concepts e.g. MBE, MBSE, digital twins, autonomous systems, AR/VR, AI/ML, IoT, etc. Experience of mathematical simulation tools/languages (e.g. Mathworks MATLAB, Simulink, Perl, Python, MathCAD) Knowledge of the defence industry, including geopolitical influences and current ...

systems architecture and platform-level design Understanding of design for manufacturability (DFM) and cost optimisation principles Experience working with or familiarity with AI/ML models is preferred Additional Information This role has a salary of between 50,000 and 60,000 plus our flexible benefits package. We are open ...

into Senior+, Staff, Principal, or Technical Lead roles \n Collaborative team environment - partner with engineers across the U.S., Europe, India, and Singapore \n Continuous learning - gain hands-on experience with cloud platforms, AI technologies, middleware systems, and modern engineering practices \n \n Core Technologies \n \n Python \n Java … Nice to Have (Not Required) \n Experience with middleware technologies such as Kafka, IBM MQ, DataPower, or Spring Boot \n Exposure to AI-ML concepts or modern AI development tools \n Experience with distributed, event-driven, or large-scale systems \n Familiarity with emerging engineering tools such as MCP, Cline ...

Perspectum Diagnostics Ltd. is seeking a Data Scientist to develop and scale machine learning methods for biomedical data across the organisation. You will maintain deep learning models behind Perspectum’s automated image analysis capabilities and collaborate with research teams to run core algorithms at scale. The role ...

systematic equities trading team. The role sits at the intersection of machine learning, quantitative research and systematic trading, developing and deploying ML models on high-frequency market data and working closely with portfolio management to turn research into live trading signals. You'll develop and optimise classical … deep learning models, improve distributed computing and large-scale parameter searches, and build #J-18808-Ljbffr ...

Autonomous Systems work within a wider project, AutoLabs. This is where EIT automates the scientific discovery loop: experimental design, execution, analysis, and the learning that feeds back into the next experiment and the lab itself. The AutoLabs data platform captures, stores and serves high-frequency multimodal data. It spans … edge-to-cloud stack, from edge devices and MQTT brokers through to Kafka topics, cloud storage, and the APIs that serve scientists and ML pipelines. Turn streams of robot state, instrument output and video into structured database transactions: which arm did what to which sample, when, and what came out. ...

structured lessons that introduce students to artificial intelligence, data-driven thinking, and emerging technologies. The Academic Leader contributes to a safe, positive, and stimulating learning environment, ensuring that students are supported, challenged, and fully engaged in their academic experience. Teaching consists of up to five morning sessions per week … Intelligence and Big Data, in line with the course syllabus, combining theory with practical, hands‐on learning. Introduce students to key concepts such as machine learning, data analysis, and AI applications, using interactive tasks and collaborative projects. Create a dynamic and inclusive classroom environment where students feel confident ...

hybrid role combining in-office collaboration with flexible home working. You will design and implement automated tests across cloud software, data pipelines and machine-learning components, and drive verification strategies with a strong emphasis on ownership and automation. You will work closely with software engineers, data scientists ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...