301 to 325 of 800 Machine Learning Jobs in the UK excluding London

Oracle OBIEE/OAS reports & dashboards Experience with working on the cloud, preferably with AWS, including certifications Familiarity with Apex Data migration Understanding of machine learning or data science, including Python. Candidates must be based in the UK and hold a British/EU Passport or Indefinite Leave ...

business recommendations. Strong communication and stakeholder management skills. Degree in quantitative field such as Mathematics, Statistics, Economics, Finance, or a related discipline. Experience with machine learning techniques and data visualisation tools is a plus. What’s in it for you? Joining BNP Paribas Personal Finance means becoming part ...

Azure DevOps, GitHub Actions) specifically tailored for analytics, data science, and trading teams. Hands-on experience deploying apps, data pipelines (Azure Data Factory, Databricks), ML model training environments, event streaming (producers/consumers), and auto-trading solutions. Azure Cloud & IaC Mastery: Deep experience architecting and managing end-to-end Azure ...

Azure DevOps, GitHub Actions) specifically tailored for analytics, data science, and trading teams. Hands-on experience deploying apps, data pipelines (Azure Data Factory, Databricks), ML model training environments, event streaming (producers/consumers), and auto-trading solutions. Azure Cloud & IaC Mastery: Deep experience architecting and managing end-to-end Azure ...

pipelines, Infrastructure as Code and DevOps practices. Excellent communication and presentation skills, with the ability to articulate complex concepts clearly. Familiarity with AI/ML integration and secure cloud architecture is an advantage. Permanent Interview Format: 1. Live coding+ 2 interview rounds ...

pipelines, Infrastructure as Code and DevOps practices. Excellent communication and presentation skills, with the ability to articulate complex concepts clearly. Familiarity with AI/ML integration and secure cloud architecture is an advantage. Permanent Interview Format: 1. Live coding+ 2 interview rounds ...

pipelines, Infrastructure as Code and DevOps practices. Excellent communication and presentation skills, with the ability to articulate complex concepts clearly. Familiarity with AI/ML integration and secure cloud architecture is an advantage. Permanent Interview Format: 1. Live coding+ 2 interview rounds ...

based Source Control. Experience of State management libraries. SQL experience. Exposure to Azure, cloud services, or distributed architectures. Interest in AI/ML and how it can enhance enterprise software. Agile sprint methodology Why You’ll Love working here Real Impact: Solve real problems that matter Strong Engineering Culture: Work ...

across multiple projects concurrently and adapting to varied technical challenges Collaborating with multidisciplinary engineers to integrate software with hardware and wider system components Rapidly learning and applying new technologies Contributing to problem-solving throughout the development process Supporting software used to control hardware platforms, sensors, or custom devices Requirements … technologies quickly Working knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) Suitable ...

data science solutions including data ingestion, feature engineering, model development, deployment, and monitoring Define logical and physical architectures for analytics platforms, ML pipelines, and AI products Ensure solutions are scalable, reusable, secure, and cost effective Select appropriate ML/AI techniques (e.g., regression, classification, NLP, forecasting, clustering) 2. Data & Analytics … Development & Deployment Strategy Guide data scientists on: Model selection and evaluation strategies Experiment tracking and reproducibility Design MLOps frameworks for: CI/CD of ML models Model versioning and governance Monitoring drift, accuracy, and bias 4. Technology & Platform Governance Define standards for: Programming languages and frameworks Cloud vs on prem ...

backbone of the company's data platform. You'll be responsible for building and maintaining large-scale, real-time data pipelines that power analytics, machine learning, and operational systems across the business. You'll collaborate with software engineers, data scientists, and analytics teams to ensure the platform delivers … checks. Hands-on experience with big data tools (Airflow, Databricks) and data observability platforms. Collaborative mindset and experience working with cross-functional teams including ML and analytics specialists. Curiosity and enthusiasm for continuous learning - you stay up to date with the latest tools and trends in data engineering ...

Market Data teams to deliver robust, compliant technology solutions Implement automated testing frameworks and integrate them into development workflows Explore and apply AI/ML-driven innovations to improve system performance and risk analysis Work effectively with global teams across multiple locations Key Requirements Strong hands-on experience in software … Familiarity with scripting languages such as PowerShell or Python Understanding of service communication protocols (e.g., WCF, gRPC, messaging technologies like RabbitMQ) Exposure to AI, machine learning, or data-driven development is advantageous Excellent communication, analytical, and problem-solving skills Self-driven, reliable, and able to deliver high-quality ...

/ML Engineer – Consumer Analytics We are seeking an AI/ML Engineer with a strong statistical background and hands-on experience in signal engineering and interpretation to support next best offer (NBO) and personalization use cases in the consumer industry. The role focuses on translating complex customer signals into … alignment with business and regulatory expectations Required Skills & Experience Strong foundation in statistics, probability, and experimental design Hands-on experience in AI/ML model development (e.g., classification, propensity, uplift, recommendation models) Proven experience in signal engineering, feature creation, and interpretation for consumer analytics use cases Proficiency in Python ...

into engineering workflows, monitoring, and incident analysis. Lead experimentation and POCs with emerging AI and cloud technologies. Key Requirement: Strong experience with Generative AI, Machine Learning, or LLM-based solutions. Deep expertise in AWS cloud architecture and DevOps practices. Experience with Python, JavaScript, or React. Hands-on experience ...

Understanding of Agile delivery methods Desirable: Experience or knowledge CI/CD pipelines and build tools (GitLab CI, Jenkins, AWS) Understanding and awareness of Machine Learning pipelines Familiarity with containerisation and cloud platforms (Docker, Kubernetes, AWS, Azure) Exposure to additional automated testing frameworks (Selenium, Junit, NUnit) ISTQB Foundation ...

Understanding of Agile delivery methods Desirable: Experience or knowledge CI/CD pipelines and build tools (GitLab CI, Jenkins, AWS) Understanding and awareness of Machine Learning pipelines Familiarity with containerisation and cloud platforms (Docker, Kubernetes, AWS, Azure) Exposure to additional automated testing frameworks (Selenium, Junit, NUnit) ISTQB Foundation ...

ROLE As Senior Data Platform Engineer, you will help shape a distributed data and compute platform designed for large-scale ingestion, transformation and machine learning workloads. Specifically, you can expect to be involved in the following: Designing and optimising of distributed systems for high-throughput data processing Build ...

ROLE As Senior Data Platform Engineer, you will help shape a distributed data and compute platform designed for large-scale ingestion, transformation and machine learning workloads. Specifically, you can expect to be involved in the following: Designing and optimising of distributed systems for high-throughput data processing Build ...

ROLE As Senior Data Platform Engineer, you will help shape a distributed data and compute platform designed for large-scale ingestion, transformation and machine learning workloads. Specifically, you can expect to be involved in the following: Designing and optimising of distributed systems for high-throughput data processing Build ...

ROLE As Senior Data Platform Engineer, you will help shape a distributed data and compute platform designed for large-scale ingestion, transformation and machine learning workloads. Specifically, you can expect to be involved in the following: Designing and optimising of distributed systems for high-throughput data processing Build ...

ROLE As Senior Data Platform Engineer, you will help shape a distributed data and compute platform designed for large-scale ingestion, transformation and machine learning workloads. Specifically, you can expect to be involved in the following: Designing and optimising of distributed systems for high-throughput data processing Build ...

ROLE As Senior Data Platform Engineer, you will help shape a distributed data and compute platform designed for large-scale ingestion, transformation and machine learning workloads. Specifically, you can expect to be involved in the following: Designing and optimising of distributed systems for high-throughput data processing Build ...

delivery methods. Desirable Skills: Experience or knowledge in CI/CD pipelines and build tools (GitLab CI, Jenkins, AWS). Understanding and awareness of Machine Learning pipelines. Familiarity with containerisation and cloud platforms (Docker, Kubernetes, AWS, Azure). Exposure to additional automated testing frameworks (Selenium, JUnit, NUnit). ...

workloads, ensuring high data quality, reliability, and observability across cloud and on‐prem platforms. Model, store, and serve large‐scale datasets optimised for analytics, machine learning, and low‐latency consumption by AI‐driven trading systems. Build and optimise real‐time and near‐real‐time data pipelines using Databricks ...

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 ...