851 to 875 of 2,172 Machine Learning Jobs in the UK excluding London

problem-solving skills. Ability to influence technical direction and work autonomously. Desirable Cybersecurity, malware analysis, threat detection, or security product experience. Statistical analysis, machine learning, or complex systems experience. Previous mentoring or technical leadership experience. Why Apply? Work on genuinely challenging technical problems, shape innovative products, and collaborate ...

experience with a focus on production ownership and reliability Understanding of data quality, testing and lineage best practices Desirable skills: MLOps or production machine learning experience Terraform, Ansible or other Infrastructure as Code tools PostgreSQL and modern data platforms Experience within Defence, National Security or regulated environments Familiarity ...

Perforce) and collaborative development workflows. Solid foundation in Agile development methodologies, DevOps practices, and modern software engineering principles. Preferred Qualifications Leverage generative AI and machine learning for test case generation, anomaly detection, and accelerated root cause analysis. Practical experience with test frameworks like ScalaTest or Playwright. Familiarity with ...

such as CI/CD, Application Resiliency, and Security Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience of AI and full understanding of the SDLC process, and MongoDB Preferred qualifications, capabilities, and skills Familiarity with modern ...

/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.) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience #J-18808-Ljbffr ...

platforms including Azure , AWS or Google Cloud . Experience designing large-scale distributed architectures using APIs, Microservices and modern integration patterns. Strong knowledge of Machine Learning, MLOps, DevOps and AI delivery practices. Knowledge of Enterprise Architecture frameworks such as TOGAF. Experience producing architecture documentation, standards and governance. Strong ...

Strong experience with Python. Experience with Kubernetes and Docker. Understanding of CI/CD pipelines (e.g. GitLab). Exposure to data platforms, MLOps or machine learning environments. Spark or Scala. AWS services (e.g. S3). Elasticsearch or graph databases. OIDC/OAuth. Node.js or React. #J-18808-Ljbffr ...

Software Engineer, you'll use strong software engineering principles to design, build and deploy production-ready applications that incorporate AI, automation and machine learning capabilities. You'll be involved across the full software development lifecycle, from technical design and development through to testing, deployment and ongoing improvement. Responsibilities ...

/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience with coding assistants and development harnesses to streamline software delivery. Hands‐on experience using enterprise-authorized AI-assisted software development tools ...

willing and eligible to hold SC and eDV clearance. In this area of the business we prove DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical systems ...

/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency ...

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 ...

customer experiences Knowledge of software application development and technical processes with considerable in‐depth knowledge in one or more technical disciplines (cloud, artificial intelligence, machine learning, AI agents) Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines Practical ...

financial services, banking, insurance or similar environments. Deep knowledge of modern AI technologies, including Generative AI, Large Language Models (LLMs), AI assistants and machine learning concepts. Hands-on experience with Microsoft AI technologies, including Azure AI, Microsoft Copilot, and familiarity with platforms such as Google Gemini, Vertex ...

related technical field. CPA certification. Experience in a global multinational corporate environment. Experience with advanced technologies such as RPA, AI, or machine learning in a tax context. Additional Information: The Company is committed to diversity and equality of opportunity for all and is opposed to any form ...

with our software platformPipeline Development: Implement ETL pipelines for ingesting, cleaning, and transforming scientific datasets from multiple sourcesData Analysis and Modeling: Apply statistical and machine learning techniques to analyse scientific data, identify trends, and develop predictive models for domain-relevant properties and behavioursOntology Development and Classification: Develop ...

organisation improve how data is structured, governed, integrated and delivered. The environment includes Databricks, cloud technologies, data lakes, analytics, reporting and emerging AI and machine-learning products. Your responsibilities will include: Defining and evolving data architecture principles, standards and technical roadmaps Designing conceptual, logical and physical data models ...

methodologies, including CI/CD, application resiliency, and security. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, AI, machine learning, mobile). Ability to solve data‐oriented problems using technologies such as SQL, relational databases, Spark, and NoSQL. Preferred Qualifications, Capabilities ...

related field. Salesforce Data Architecture & Management certification or equivalent. Experience using Python for data analysis, automation or process improvement. Knowledge of AI and machine learning applications within CRM and customer analytics. Experience within customer-focused B2B or B2C environments. French language skills Person Specification Strong understanding ...

someone who has simply experimented with ChatGPT or integrated an LLM API. You may have a background as an AI Engineer, Generative AI Engineer, Machine Learning Engineer, Software Engineer or AI Solutions Engineer, but you will have developed a strong practical understanding of modern Agentic AI. You should ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity ...

methodologies, including CI/CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile)In-depth knowledge of the financial services industry and IT systemsPractical cloud native experiencePreferred Qualifications, Capabilities, and Skills: Background in delivering ...

Endpoint and Microsoft Sentinel. Attainment of relevant Microsoft accreditations (e.g., AZ-900, MS-900, SC-100) is preferred; additional certifications in AI or Machine Learning Operations are highly desirable. About Us: We are the tech company with people at heart. At Advania, we empower individuals to create sustainable ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, or mobile) Knowledge of the financial services industry and IT systems Practical cloud-native experience Preferred Qualifications, Capabilities, and Skills: Hands ...

Backend Engineering teams to improve detection quality and platform capability Contribute to the development and fine-tuning of AI-driven detection models, using machine learning to sharpen investigation accuracy Stay current with emerging threats, attack techniques, and cloud security best practices, feeding insights back into team knowledge What ...