326 to 350 of 769 Machine Learning Jobs in the UK excluding London

agent AI architectures and tool invocation frameworks Experience with CCaaS platforms (Google CES/CXAS, Genesys, NICE, Amazon Connect) Strong understanding of AI/ML lifecycle, MLOps, and data governance Experience working with Tier-1 banks or large financial institutions Certifications Google Cloud Professional Data Engineer (Highly Preferred) Google Professional … Cloud Architect Google Machine Learning Engineer Certifications in Conversational AI (Dialogflow CX or equivalent) TOGAF/Enterprise Architecture certifications Data certifications (good to have): CDMP, Databricks, Snowflake ...

agent AI architectures and tool invocation frameworks Experience with CCaaS platforms (Google CES/CXAS, Genesys, NICE, Amazon Connect) Strong understanding of AI/ML lifecycle, MLOps, and data governance Experience working with Tier-1 banks or large financial institutions Certifications Google Cloud Professional Data Engineer (Highly Preferred) Google Professional … Cloud Architect Google Machine Learning Engineer Certifications in Conversational AI (Dialogflow CX or equivalent) TOGAF/Enterprise Architecture certifications Data certifications (good to have): CDMP, Databricks, Snowflake ...

positive can-do attitude and willing to help other members of the team. · Understanding of Apache Spark, Apache Trino or other big data and machine learning systems. · Exposure to using AI tools to enhance productivity and quality of coding, reviews and documentation. Why Join RealityMine? At RealityMine … do. That’s why we go the extra mile to support every team member to unlock their full potential. Whether you're hungry for learning, driven by achievement, or just love being part of a dynamic and supportive team, you'll find a home here. Your Benefits · Generous Time ...

Requirements Current Head of AI, Head of Data Science, or Senior AI Lead ready to step up. Proven experience building and scaling AI/ML teams (0–10/0–15) . Insurance experience Strong technical credibility in ML, AI, and enterprise platforms. Hands-on experience with Azure, Databricks … ML tools (TensorFlow, PyTorch, Scikit-learn). Knowledge of Responsible AI, ethical frameworks, and compliance standards . Experience in insurance or regulated financial services preferred. Comfortable presenting to and influencing executives . Collaborative, adaptable, and able to navigate complex stakeholder environments . To apply: Please reach out via LinkedIn ...

religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard … development experience in Java, Apache Spark, and Scala , with a passion for building scalable, high-performance data processing applications. Knowledge of AI/ML concepts will be considered a strong advantage. Key Responsibilities Design, develop, and maintain scalable applications using Java, Scala, and Apache Spark Build and optimize large-scale ...

agentic AI capabilities beyond experimentation and into dependable products thatoperatesafely and effectively at scale across our global marketplace. Working closely with software engineers, machine learning engineers, data scientists, product managers,analystsand technical leaders, you will shape how we build, test, deploy,monitorand govern AI-powered systems. Success … reliability and security. Provide technical leadership to evolve AI solutions from experimentation into robust, observable and maintainable products. Collaborate cross-functionally with product, engineering, ML and data teams to align technical decisions with user needs, business priorities and long-term platform strategy. Define and drive engineering standards, reusable patterns, tools ...

Agile Scrum delivery teams. Excellent communication, stakeholder engagement and documentation skills. Essentials Experience Significant commercial experience developing enterprise applications using Python. Experience with AI, machine learning or computer vision technologies. Proven experience designing and deploying production-grade web applications and APIs. Experience implementing DevSecOps practices within CI/… responding to requests respectfully, politely, and professionally at all times. Taking an honest approach to business - Is clear, accountable, reliable, knowledgeable, and direc Listening, learning, and finding better ways to make a difference - Looks for opportunities to improve business processes by collaborating with others; is receptive to new ideas ...

share best practices at scale, including through the creation of technical content and reference architectures, for a variety of use cases, e.g., Artificial Intelligence & Machine Learning, Serverless and Container-based architectures, Analytics and Big Data, DevOps, and Security. You will have the support to grow your expertise … features or write a blog post sharing best practices. Throughout the day, you'll balance relationship-building with technical work, continually learning to keep up to date with evolving technologies. BASIC QUALIFICATIONS - Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data ...

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 ...

delivering and deploying applications and software to cloud or on-prem environments across National Security projects. The team deliver 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 ...

safety-critical environments. Familiarity with technologies such as: Azure and AWS Docker and Kubernetes Apache Kafka and NiFi Node.js and TypeScript MongoDB AI and Machine Learning technologies Security Requirements Due to the nature of the work, candidates must either hold current UK Security Clearance or be eligible ...

/or Python development Azure Data Factory (ADF) Azure Synapse Analytics Azure Data Lake Storage Power BI development and data modelling Exposure to AI, Machine Learning, or advanced analytics projects Microsoft certifications such as DP-600 or DP-203 Experience working within large-scale transformation or cloud migration ...

some of the UK's most important defence, intelligence and cyber programmes. You'll join teams delivering cutting-edge capabilities across DevSecOps, Artificial Intelligence, Machine Learning, Cyber Security and Geospatial Intelligence, working with modern technologies in complex operational environments. Due to the nature of the work, candidates must ...

Experience implementing governance frameworks and best practices for AI systems. Strong problem-solving and analytical skills. Desirable Experience Experience with Azure AI Studio, Azure Machine Learning, or Cognitive Services. Familiarity with DevOps practices and CI/CD pipelines within the Microsoft ecosystem. Experience integrating AI solutions with Microsoft ...

Experience implementing governance frameworks and best practices for AI systems. Strong problem-solving and analytical skills. Desirable Experience Experience with Azure AI Studio, Azure Machine Learning, or Cognitive Services. Familiarity with DevOps practices and CI/CD pipelines within the Microsoft ecosystem. Experience integrating AI solutions with Microsoft ...

solutions and present actionable insights to stakeholders. Communicate results clearly to key decision-makers to influence pricing strategies. Advance the adoption of statistical and machine-learning methods within pricing, in collaboration with Modelling, Optimisation, and Street Pricing. What we're looking for: Experience in general insurance pricing with ...

pipelines using Python and SQL, managing the full data lifecycle from ingestion through to processing and validation. Youll also have hands-on experience applying machine learning and computer vision techniques, such as detection, classification, segmentation, and anomaly detection, to solve complex, real-world challenges. You will work both ...

bring their whole, authentic selves to work every day. Why become an Oxbot? Our team of experts in computer science, AI, robotics and machine learning is world-class, and together they’re solving the most exciting and important technological challenges of our times. Our diverse, multi-cultural crew ...

cloud-first data platform. This is a great opportunity to work on high-volume data systems, shaping architecture and enabling real-time analytics and ML use cases. What you’ll be doing: Build and optimise data pipelines & ETL processes Contribute to a cloud migration to AWS (S3, Redshift) Develop lakehouse ...

cloud concepts Experience with cloud platforms (Azure/AWS/GCP) Good problem-solving and communication skills Nice to Have Knowledge of AI and Machine learning. Working experience of Enterprise Content Management platforms. Knowledge of monitoring and logging tools (Prometheus, Grafana, ELK, etc.). Understanding of security best practices ...

safety, reliability, and interpretability are built into everything you deliver. What were looking for Were looking for engineers with strong experience in AI/ML or software engineering who are excited by agentic AI systems and real-world applications. Key skills and experience include: Strong Python development experience Hands ...

take ownership of technical decisions Nice to have (but not required): Experience with Python in backend, data, or automation contexts Exposure to AI/ML or large language model-based systems Kubernetes and container orchestration experience Tech environment Languages: Java (primary), other JVM languages welcome; Python a plus Frameworks: Spring ...

reporting solutions Nice to Have Medallion Architecture or Lakehouse experience Azure Data Factory, dbt or Prefect DataSecOps and cloud security experience AI/ML data preparation knowledge Experience leading technical projects or mentoring engineers You'll Thrive Here If You... Enjoy building solutions from the ground up Take ownership ...

ability to work independently across multiple concurrent projects Desirable Experience with MACH architecture applications Omni-channel commerce experience Exposure to customer lifecycle management, CDP, ML, or data lakes Knowledge of search, SEO, web analytics, order management, payments, or fulfilment Familiarity with CMS, DAM, PIM, or inventory management platforms Understanding ...

enhance security policies, standards, and procedures across the organisation.* Manage the information security risk program, maintaining a comprehensive risk register.* Oversee AI/ML security risk management, including the development of policies for generative AI technologies.* Collaborate with Financial Crime and Anti-Fraud teams to mitigate cyber risks related ...