551 to 575 of 2,058 Machine Learning Jobs in the UK excluding London

environments. Experience with cloud platforms such as Azure, AWS or GCP. Understanding of cybersecurity for connected devices and IoT systems. Exposure to AI/ML technologies and data-driven applications. Experience with mobile, web, IoT, Embedded Linux, Python, FPGA or MATLAB development. Why Join Us? You'll have the opportunity ...

Code (Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes‐based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well‐structured datasets. Participate in code reviews and internal knowledge‐sharing sessions. Provide guidance to junior engineers where ...

enabling our teams to be involved in different and varied projects and audit analytics delivery including bespoke and standardised data analytics, governance, advanced (AI-ML) analytics, end-user tools development and support, as well as robotic process automation (RPA) services. About The Role The role of an auditor ...

fantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. Requirements Key Responsibilities: Develop Data Engineering solutions ...

datasets. Working alongside data scientists, software engineers, architects and consultants, you’ll create scalable cloud-native data solutions that support advanced analytics, AI/ML capabilities and operational intelligence systems. This is an opportunity to work on technically challenging projects where you’ll influence architecture, engineering approaches and the delivery … Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational or intelligence-related datasets Experience working within Defence, National Security, Government or other regulated sectors Why Join ...

projects, including supporting other Data Analysts and Scientists and collaborating with software engineers towards the best solution. You will have a focus on developing ML-centric data products and solutions, in which your expertise with ML frameworks and workflows will be key. Right now, our Data Scientists are working … expect applicants to have experience with all of these):Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing. Discover more about our Analytics Community in our blog and explore ...

engineers like you to help us do it reliably, securely, and at scale. As a Software Engineer III at JPMorganChase within the AI/ML Data Platforms organization, you will be a key member of the Reliability Engineering team, contributing to the design and delivery of trusted, market-leading technology … products. You will apply your technical expertise and problem-solving skills to enhance the reliability and scalability of AI/ML platforms, build reusable services and tooling, and partner across teams to unblock high-impact AI use cases. This is an opportunity to shape how the firm delivers AI capabilities ...

AIML Data Platforms and Chief Data and Analytics Team , you will lead a team of 3-7 SRE engineers and scale the AI/ML Data Platform, deliver advanced technology products focused on data and analytics. You will tackle complex cloud data platform challenges, especially around Data Lake Tools. … operational excellence. Performs platform design, set‐up and configuration, workspace administration, resource monitoring, providing engineering support to Data Engineering teams, Data Science/ML, and Application/Integration teams. Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions ...

skills, but they are not essential for you to apply: Knowledge of C++, Python, PyTorch, OpenCV, CUDA, TensorRT, Git, WSL, Docker, Jira/Confluence Machine Learning and Deep Learning Computer Vision methodologies and algorithms MLOps Developing AI for use on Edge Computers Research and prototyping Benefits: Annual … sell up to 5 days Flexible hybrid working arrangements Continuous professional development including incentives Access to online Udemy training facility to support grade specific learning pathways Electric car scheme Bike to work scheme Private health care About Us: Synoptix was formed in 2011 to provide engineering solutions across various ...

government client is looking for candidates who have at least one production AI/ML implementation, recent experience with AWS data services, Terraform, CI/CD, Python, and SQL. Candidates should have more than five years of overall experience and meet the other requirements outlined in the attached JD. Inside … data from various sources into the data infrastructure. Optimize data processing and storage for performance and cost-effectiveness. AI: Develop and deploy AI/ML models into production environments. Build scalable inference pipelines and AI APIs. Implement MLOps workflows for model versioning, monitoring, and retraining. Collaborate with data scientists ...

architecture across ingestion, storage, transformation, and analytics layers Build and optimise Power BI reports and semantic models for actionable insights Integrate Azure AI/ML capabilities into solutions, including predictive analytics, large language models, and automation workflows Drive pre-sales and client engagements, including solution shaping, proposals, and presentations Ensure … architectures Experience building and optimising data pipelines using SQL, Python, and/or Spark Knowledge of AI and advanced analytics on Azure, including Azure Machine Learning, Cognitive Services, or Fabric AI capabilities Experience integrating AI-driven insights (e.g. predictive models, NLP, or LLM-based solutions) into data platforms ...

best practices. Programming & Data Science: Hands‐on experience with Python or R for analytics, modelling, and automation. AI & Predictive Analytics: Knowledge of AI/ML frameworks for building predictive and prescriptive insights. ETL & Data Engineering: Experience designing scalable ETL/ELT pipelines using modern tools and frameworks. Cloud Platforms: Familiarity … SaaS applications, APIs, and public data sources. Proven track record of delivering data‐driven insights, advanced analytics, and predictive models. Experience implementing AI or machine learning solutions for business intelligence is advantageous. Bachelor’s or master’s degree in Data Science, Computer Science, Statistics, or a related field. ...

best practices. Programming & Data Science: Hands-on experience with Python or R for analytics, modelling, and automation. AI & Predictive Analytics: Knowledge of AI/ML frameworks for building predictive and prescriptive insights. ETL & Data Engineering: Experience designing scalable ETL/ELT pipelines using modern tools and frameworks. Cloud Platforms: Familiarity … SaaS applications, APIs, and public data sources. Proven track record of delivering data-driven insights, advanced analytics, and predictive models. Experience implementing AI or machine learning solutions for business intelligence is advantageous. Bachelor’s or master’s degree in Data Science, Computer Science, Statistics, or a related field. ...

diagrams to explain a data processing system on a cloud environment. Knowledge of diagramming notations such as C4, UML, etc. Enthusiasm for learning and self‐development. Experience with agile delivery‐lead projects and applying agile practices such as Scrum, XP, Kanban. Own the cloud infrastructure underpinning data systems through … development and CI/CD. Collaborating with senior stakeholders to gather requirements and maintain engagement. Using pair programming or mob programming techniques. Productionising machine learning models with data scientists. Working knowledge of statistics. Working with multidisciplinary digital and technology teams. Working within the public sector. Benefits 30 days ...

driving the data engineering strategy and roadmap, owning scalable data pipelines, embedding secure-by-design principles, and enabling production-grade data foundations for AI, machine learning and advanced analytics. You’ll also partner across Security, Cloud, Architecture and Product teams while mentoring engineers and building a high-performing … would be great if you had any of the following... Exposure to MLOps or SMLOps tooling and model lifecycle management Experience supporting AI/ML pipelines, feature engineering or analytics platforms Knowledge of AI governance and secure adoption of generative or agentic AI Experience working in security-focused or regulated ...

driving the data engineering strategy and roadmap, owning scalable data pipelines, embedding secure-by-design principles, and enabling production-grade data foundations for AI, machine learning and advanced analytics. You’ll also partner across Security, Cloud, Architecture and Product teams while mentoring engineers and building a high-performing … would be great if you had any of the following... Exposure to MLOps or SMLOps tooling and model lifecycle management Experience supporting AI/ML pipelines, feature engineering or analytics platforms Knowledge of AI governance and secure adoption of generative or agentic AI Experience working in security-focused or regulated ...

30pm Reporting to our Head of Data Science Part of our Data Science team What you’ll be doing: Design, build and ship ML models that solve real business problems Work across areas including pricing, personalisation, forecasting and customer experience Turn complex business challenges into practical, commercially valuable solutions Take … engineering teams Mentor other Data Scientists and help raise the technical bar across the team What you’ll bring: Strong hands‐on Data Science & ML experience Advanced Python and SQL , with pandas, scikit-learn and XGBoost/LightGBM Experience across areas such as forecasting, segmentation, recommendations, ranking or behavioural modelling ...

e.g., GitHub Copilot, generative AI coding assistants) to improve engineering productivity, code quality, and delivery efficiency Understanding of data engineering considerations for AI and machine learning workloads, including data quality, governance, lineage, and scalability requirements Education Bachelor’s degree or equivalet experience; Master’s degree is a plus ...

integration and continuous delivery, 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 its technology systems Practical cloud-native experience Hands-on experience using ...

Experience with data orchestration tools (Airflow, Step Functions, etc.). Databricks or AWS certifications. Demonstrated proficiency in cloud-native development (e.g., cloud, artificial intelligence, machine learning). Experience with Parquet, JSON, CSV, Avro, Delta Lake file formats. #J-18808-Ljbffr ...

Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Experience in Computer Science, Computer Engineering, Mathematics ...

integration/continuous delivery, application resiliency, and security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience with DevOps and Site Reliability Engineering principles Preferred qualifications, capabilities, and skills Familiarity with VMware, OpenShift, Hyper ...

/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 Demonstrated experience designing and scaling agentic AI-enabled development patterns ...

such as 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, etc.)In-depth knowledge of the financial services industry and their IT systemsDemonstrated experience designing and scaling agentic AI-enabled development ...

Experience with data orchestration tools (Airflow, Step Functions, etc.). Databricks or AWS certifications. Demonstrated proficiency in cloud-native development (e.g., cloud, artificial intelligence, machine learning). Experience with Parquet, JSON, CSV, Avro, Delta Lake file formats. J.P. Morgan is a global leader in financial services, providing strategic ...