351 to 375 of 993 Machine Learning Jobs in the UK excluding London

structures, performance optimisation techniques, object-oriented programming. Experience using modern AI-assisted and agentic development workflows in day-to-day engineering using AI/ML APIs and SDKsHands-on experience developing RAG solutions or working with LLMs for chatbots is preferredIn-depth understanding of CI/CD and the tools ...

work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Machine Learning, Reinforcement Learning, Autonomous Systems, Assurance, Hardware, Software, Systems Integration, Artificial Intelligence, Embedded Software, Embedded Systems, Space Autonomy, Assured Autonomy, High Integrity Software ...

work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Machine Learning, Reinforcement Learning, Autonomous Systems, Assurance, Hardware, Software, Systems Integration, Artificial Intelligence, Embedded Software, Embedded Systems, Space Autonomy, Assured Autonomy, High Integrity Software ...

Data Engineer, AWS Data Analytics Specialty)AI platform and engineering certifications (e.g. Databricks Generative AI Engineer, AWS Machine Learning Specialty, Google Professional ML Engineer)AI practitioner certifications demonstrating hands-on fluency with leading AI platforms — for example Anthropic Claude Certified Architect (CCAR-F or CCAR-P), Microsoft Agentic ...

PostgreSQL, SQL Server etc. Excellent problem-solving and interpersonal skills. Preferred Qualifications: Experience with machine learning frameworks and tools such as Azure ML Studio, AWS Sagemaker etc. Knowledge of real-time data processing and stream analytics such as Apache Kafka, Azure Event Hubs or similar. Hands on experience ...

develop scalable solutions and lead technical delivery across a range of AI and cloud projects. Responsibilities will include: Designing and delivering Generative AI and Machine Learning solutions Building applications using LLMs, RAG frameworks and AI orchestration tools Working directly with clients to understand business challenges and define ...

develop scalable solutions and lead technical delivery across a range of AI and cloud projects. Responsibilities will include: Designing and delivering Generative AI and Machine Learning solutions Building applications using LLMs, RAG frameworks and AI orchestration tools Working directly with clients to understand business challenges and define ...

Fabric and Snowflake Architect and oversee AI-ready platform environments from the outset — designing for the compute, networking, storage and security requirements of GenAI, ML and agentic workloads, not retrofitting them later Drive AIOps adoption across platform operations — implementing intelligent monitoring, automated incident detection and response, and self-healing infrastructure … identity and access management, and policy-as-code engineering AI-ready platform architecture — proven ability to design environments that meet the demands of GenAI, ML and agentic workloads in production Experience leading and mentoring engineering teams, setting technical direction and driving delivery to a high standard Familiarity with agentic ...

Fabric and Snowflake Architect and oversee AI-ready platform environments from the outset designing for the compute, networking, storage and security requirements of GenAI, ML and agentic workloads, not retrofitting them later Drive AIOps adoption across platform operations implementing intelligent monitoring, automated incident detection and response, and self-healing infrastructure … identity and access management, and policy-as-code engineering AI-ready platform architecture proven ability to design environments that meet the demands of GenAI, ML and agentic workloads in production Experience leading and mentoring engineering teams, setting technical direction and driving delivery to a high standard Familiarity with agentic ...

Fabric and Snowflake Architect and oversee AI-ready platform environments from the outset designing for the compute, networking, storage and security requirements of GenAI, ML and agentic workloads, not retrofitting them later Drive AIOps adoption across platform operations implementing intelligent monitoring, automated incident detection and response, and self-healing infrastructure … identity and access management, and policy-as-code engineering AI-ready platform architecture proven ability to design environments that meet the demands of GenAI, ML and agentic workloads in production Experience leading and mentoring engineering teams, setting technical direction and driving delivery to a high standard Familiarity with agentic ...

Fabric and Snowflake Architect and oversee AI-ready platform environments from the outset — designing for the compute, networking, storage and security requirements of GenAI, ML and agentic workloads, not retrofitting them later Drive AIOps adoption across platform operations — implementing intelligent monitoring, automated incident detection and response, and self-healing infrastructure … identity and access management, and policy-as-code engineering AI-ready platform architecture — proven ability to design environments that meet the demands of GenAI, ML and agentic workloads in production Experience leading and mentoring engineering teams, setting technical direction and driving delivery to a high standard Familiarity with agentic ...

online application form. Please ensure that this is completed in full in order that your application can be reviewed. Shape the future of immersive learning XR Studios is looking for a skilled and creative Senior Experience Engineer to lead the technical development of immersive learning experiences. Youll work … heart of a growing studio that brings together extended reality (XR), simulation, 3D content and emerging technologies to create meaningful learning, research and commercial projects. Working closely with the Studio Lead, youll take ideas from early concept and prototype through to high-quality deployment and ongoing improvement. Youll build ...

Permanent As a Data Modeller , you will play a key role in designing, developing and maintaining enterprise data models that enable analytics, reporting, AI, machine learning and business intelligence initiatives. You will translate complex business requirements into scalable, high-quality data solutions, ensuring data is structured, governed … succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity ...

Experience with Azure Data Factory, Synapse Analytics, Data Lake, or related cloud data technologies. Experience creating executive dashboards and operational reporting solutions. Knowledge of machine learning, anomaly detection, predictive analytics, or statistical analysis techniques. Experience working with large-scale telemetry, operational, or IoT datasets. Familiarity with DevOps practices ...

/CD, Application Resiliency, and Security. Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Preferred qualifications, capabilities, and skills Strong soft skills, including presentation, negotiation, mentoring, and stakeholder management. Strong problem-solving, analytical, and communication ...

explain technical concepts to non-technical audiences. Desirable Experience with Generative AI, LLMs, AI agents, or Copilot technologies. Exposure to data engineering, analytics, or machine learning. Experience developing workflow automation solutions. Consulting, solutions engineering, or customer-facing engineering experience. Knowledge of modern DevOps and CI/CD practices. What ...

online application form. Please ensure that this is completed in full in order that your application can be reviewed. Shape the future of immersive learning XR Studios is looking for a skilled and creative Senior Experience Engineer to lead the technical development of immersive learning experiences. … work at the heart of a growing studio that brings together extended reality (XR), simulation, 3D content and emerging technologies to create meaningful learning, research and commercial projects. Working closely with the Studio Lead, you'll take ideas from early concept and prototype through to high-quality deployment ...

from migrating legacy applications onto Cloud, to building innovative, new cloud-native applications. Continue to learn and grow - we actively encourage and support continuous learning and certification. Serve as a cloud evangelist, educating customers on the value Cloud computing can bring to transform their business. In your role … Experience in cost optimisation and familiarity with cloud best practices. Data & AI ArchitectureStrong understanding of data platforms and analytics solutions. Experience designing AI/ML-driven solutions and data lifecycle management. Application ArchitectureProficiency in designing application workloads using modern cloud patterns (e.g., serverless, containerised, microservices).Familiarity with CI/ ...

looking for an ML Data & Platform Engineer to own the infrastructure that powers our speech AI models: the pipelines that source and prepare training data, and the platform that trains, evaluates, and serves them in production. Speech AI has a data problem most ML teams … centre of solving it, working as part of our ML team to remove friction across the entire lifecycle and get better models into production faster. This is a broad, cross-functional role suited to someone who enjoys working across the full stack: data infrastructure, distributed systems, and production ML ...

Investment platform data solutions Experience working with AWS-native data services and event-driven architectures Experience building data products that support analytics, reporting, machine learning, or AI use cases Knowledge of MLOps, AI Engineering, Agentic AI, or Generative AI implementation patterns Experience leading distributed engineering teams Experience establishing … implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich ...

models supporting analytics and AI workloads Develop and maintain cloud-native data solutions Support CI/CD implementation and deployment processes Integrate AI and machine learning outputs into production environments Implement monitoring, governance, and operational best practices Collaborate closely with Product, Engineering, and Data Science teams Mentor colleagues ...

customers and colleagues. To be successful as a Forward Deployment Engineer, you should have experience with: Good technical experience in AI/ML with experience developing and deploying solutions using LLMs, RAG architectures, and modern AI frameworks and protocols (Strands, FastMCP, LangChain, LlamaIndex, Hugging Face, A2A, MCP). Ability ...

customers and colleagues. To be successful as a Forward Deployment Engineer, you should have experience with: Good technical experience in AI/ML with experience developing and deploying solutions using LLMs, RAG architectures, and modern AI frameworks and protocols (Strands, FastMCP, LangChain, LlamaIndex, Hugging Face, A2A, MCP).Ability to translate ...

using data science techniques to recommend solutions. Collecting, preparing, cleansing, and analysing data from multiple sources. Building skills in: Data Science and Analytics Machine Learning and Artificial Intelligence Statistical Analysis Data Engineering Fundamentals Data Visualisation and Storytelling Programming and Automation (e.g. Python, SQL) Supporting the development and testing … Level 6 Data Scientist Apprenticeship with The University of Nottingham. The programme is delivered over 42 months through a blend of: On-campus learning Online study Workplace-based learning You will typically attend university for a minimum of 4 weeks each academic year, delivered in 1-week blocks. ...

Robotics, or a related STEM subject 5+ years' experience developing computer vision algorithms in industry or research Strong understanding of computer vision, image processing, machine learning, and deep learning Experience taking algorithms from concept through testing, validation, and deployment Strong Python and C++ programming skills Experience with ...