676 to 700 of 1,173 Machine Learning Jobs in the UK excluding London

transfer sessions and support engineering handover We're looking for someone with: Generative AI/Agentic AI experience (essential)AWS, ideally SageMakerMLOps and production ML deploymentsTerraform and Infrastructure as CodeCI/CD and DevOps practicesMonitoring, alerting and operational support Location:Remote (UK based candidates only)Contract length - 4 monthsDaily rate ...

Data Lakehouse & Data Products Streaming/Event-Driven Architecture Data Governance Architecture standards, patterns & technical design reviews Experience with delivering data architecture that enables ML/AI platforms essential This isn't an ivory-tower architecture position. We're looking for someone with deep engineering credibility who can operate ...

integration. Candidate profile: - Consulting background with demonstrable delivery experience in AI governance, model risk, or responsible AI in regulated sectors. - Solid understanding of ML/LLM lifecycle controls: validation, monitoring, explainability, data governance and human oversight. - Experience applying regulatory frameworks and standards to large commercial or public-sector programmes. - Strong ...

integration. Candidate profile: - Consulting background with demonstrable delivery experience in AI governance, model risk, or responsible AI in regulated sectors. - Solid understanding of ML/LLM lifecycle controls: validation, monitoring, explainability, data governance and human oversight. - Experience applying regulatory frameworks and standards to large commercial or public-sector programmes. - Strong ...

integration. Candidate profile: - Consulting background with demonstrable delivery experience in AI governance, model risk, or responsible AI in regulated sectors. - Solid understanding of ML/LLM lifecycle controls: validation, monitoring, explainability, data governance and human oversight. - Experience applying regulatory frameworks and standards to large commercial or public-sector programmes. - Strong ...

integration. Candidate profile: - Consulting background with demonstrable delivery experience in AI governance, model risk, or responsible AI in regulated sectors. - Solid understanding of ML/LLM lifecycle controls: validation, monitoring, explainability, data governance and human oversight. - Experience applying regulatory frameworks and standards to large commercial or public-sector programmes. - Strong ...

professional growth of delivery talent. Key Requirements 7 + years experience in delivery/project/program management, ideally in data analytics, AI/ML, technology consulting, or professional services. Strong commercial acumen: experience managing project P&L and margins. Excellent stakeholder management and communication skills; confident presenting ...

with one or more of OpenGL ES, Vulkan, DirectX, or Metal APIs. A deep understanding of GPU architectures and workloads, including gaming, XR, and machine learning. Excellent C++ development skills and familiarity with version control systems. Self-motivation, ambition, and the ability to work collaboratively in a team environment. ...

confidence to work independently when required. Desirable experience includes: Knowledge of Advanced Partner for Windows (P4W). Experience with AI technologies, automation and machine learning. Python development. Microsoft Copilot, Large Language Models (LLMs) or similar AI platforms. An understanding of how AI can enhance legal technology, automate workflows ...

maintain contract templates, playbooks and negotiation principles. Product, Data & Privacy Partner with Product and Engineering on new product features, data usage, AI/ML initiatives, and regulatory considerations. Advise on data protection, cybersecurity, and cross‐border data transfer issues (GDPR and other global regimes). Support privacy compliance frameworks, DPIAs ...

month for core meetings North Lincolnshire based office Essential Criteria Technical background with C#, .NET, Azure & Kubernetes Experience with/exposure to AI/ML solutions & platforms Strong communication & stakeholder management skills About Ford & Stanley Group Ford & Stanley Talent Services Group are in the business of people and performance. ...

Application software Ability to understand a broad set of applications from traditional x86 processing use-cases to emerging applications in AI Inference and Machine learning. Ability to break down large complex problems into manageable deliverables and be able to manage and prioritize requirements from many stakeholders. Beneficial to have ...

experience Background as a technical project manager, senior scrum master, or engineer Hands-on exposure to AI platforms, Python-based systems, or AI/ML tooling Ability to explain how AI systems are built, deployed, and operated without being a specialist engineer Experience supporting or line-managing delivery roles ...

experience where you have preferably launched Agentic AI related products, with an ability to provide proven examples of this Familiarity with AI/ML or data extraction (e.g., NLP) preferred Understanding of how to set up AI agents Experience of communicating with 3rd Party suppliers, along with knowing ...

operating in complex, regulated environments. Nice to Have Experience with modern cloud data platforms such as Snowflake, BigQuery or Redshift. Exposure to AI/ML products, features or model governance. Experience managing data product SLAs and support models. Understanding of modern data product operating models. Reasonable Adjustments: Respect and equality ...

Application software Ability to understand a broad set of applications from traditional x86 processing use-cases to emerging applications in AI Inference and Machine learning. Ability to break down large complex problems into manageable deliverables and be able to manage and prioritize requirements from many stakeholders. Beneficial to have ...

data protection, data risks, AI governance) to shape pragmatic, future-facing AI solutions Proven experience with Azure-native services, such as Azure OpenAI, Azure ML, Cognitive Search, Microsoft 365 extensibility, Azure Databricks; or alternatives Knowledge of architectural patterns for secure access to both structured and unstructured data, including classification, masking ...

data protection, data risks, AI governance) to shape pragmatic, future-facing AI solutions Proven experience with Azure-native services, such as Azure OpenAI, Azure ML, Cognitive Search, Microsoft 365 extensibility, Azure Databricks; or alternatives Knowledge of architectural patterns for secure access to both structured and unstructured data, including classification, masking ...

data protection, data risks, AI governance) to shape pragmatic, future-facing AI solutions. Proven experience with Azure-native services, such as Azure OpenAI, Azure ML, Cognitive Search, Microsoft 365 extensibility, Azure Databricks; or alternatives. Knowledge of architectural patterns for secure access to both structured and unstructured data, including classification, masking ...

stability of services relied upon by millions. As a Lead Software Engineer - Site Reliability Engineer, Operations Excellence at JPMorganChase within the AI/ML & Data Platforms area, you will serve as a technical leader at the intersection of software engineering and reliability engineering — owning the incident management lifecycle, defining reliability ...

coordinating incident response activities Experience working alongside DevOps, platform, or infrastructure engineering teams Experience with monitoring, observability, and logging systems Experience supporting AI/ML or high‐performance computing environments Understanding of identity and access management concepts Experience building or scaling operational processes or support functions Experience managing and maintaining ...

knowledge of the language specification and thorough knowledge of the standard library, STL containers, and algorithms. Has experience developing, integrating, or deploying AI/ML-powered solutions and is familiar with Large Language Models (LLMs), AI-assisted development tools, and modern AI frameworks. Has understanding of AI system architecture, prompt ...

expert in modern data technologies, cloud infrastructure, and advanced data modeling methodologies. Demonstrates a deep understanding of how data structures impact downstream AI/ML, advanced analytics, and business intelligence. Qualifications Education/Experience Extensive Experience: Leading the development, continuous improvement, and execution of complex enterprise data architectures and data ...

GenAI, and large-scale platform re‐platforming. Our operating model is built around six functional pillars – Solution Architecture; Enterprise Architecture & System Design; ML, AI & GenAI; Data Architecture; Cyber Security; and Cloud & Infrastructure. Each team member develops deep expertise in one or more pillars, leading upskilling for colleagues so that ...

next generation of silicon and toolchain. The ideal candidate You’re a software engineer with either prior experience of compiler or AI/ML toolchain development, or the ability (and strong desire) to learn about it on – the – job. Key skills and qualifications Required: Deep understanding of tools and libraries … quickly assimilate complex problems and develop solutions autonomously. Compiler development, in particular the back – end, including experience with or interest in AI/ML compiler frameworks such as TensorFlow (XLA, MLIR, or TFLite) An interest in working across the full AI stack – from ML framework integration and compiler front ...