2,176 to 2,200 of 8,398 Machine Learning Jobs in the UK

their exciting journey! Our client equips traders with tools that are faster, smarter, and easier to use. This is a fantastic opportunity to join a leading AI company whose Machine Learning product suite creates new trading opportunities through real-time analytics, supported by a world-class, scalable, ultra-low latency architecture. The Data Platform is crucial to all More ❯

their exciting journey! Our client equips traders with tools that are faster, smarter, and easier to use. This is a fantastic opportunity to join a leading AI company whose Machine Learning product suite creates new trading opportunities through real-time analytics, supported by a world-class, scalable, ultra-low latency architecture. The Data Platform is crucial to all More ❯

their exciting journey! Our client equips traders with tools that are faster, smarter, and easier to use. This is a fantastic opportunity to join a leading AI company whose Machine Learning product suite creates new trading opportunities through real-time analytics, supported by a world-class, scalable, ultra-low latency architecture. The Data Platform is crucial to all More ❯

development. You’ll also get exposure to Python, Databricks, and Azure as you grow into the role. There is also future potential to gain exposure in data science and machine learning projects as the team evolves. Day-to-Day Responsibilities: Build and maintain SQL queries and Looker dashboards for reporting and visualisation Develop and maintain data pipelines using More ❯

entails building a robust in-house analytics team to handle the integration, modelling, prediction and inference of all customer quality issues utilising the best-in-class data analytics and machine learning tools and methods. This new analytics team will be responsible for developing and delivering our analytics strategy, coordinating our in-house analytics capability and solving our most … and a 4-week paternity leave policy. Other parental leave policies are available. A competitive pension and optional private medical cover A JLR company performance-related bonus An employee learning scheme providing funding for; education, training and other activities which support the development of personal skills and promote lifelong learning. Access to open, employee-led support and social networks More ❯

understanding of the software development lifecycle, CI/CD, and project management methodologies, including agile, hybrid-agile, scrum, kanban, and others. Knowledge of technical concepts and tools (ie. AI, machine learning, data analytics, cloud computing, commerce, platform integrations, MACH and headless technologies). Experience leading headless implementations of various platforms: e-commerce (CommerceTools, BigCommerce, or similar), CMS (Contentful … brands that have a global impact. An inclusive and safe environment: We're truly committed to building a culture where you are celebrated and everyone feels welcome and safe. Learning opportunities: We offer generous training budgets, including partner tech certifications, custom learning plans, workshops, mentorship, and peer support. Generous vacation policy: Work-life balance is key to our More ❯

and the global client group, communicate effectively with stakeholders and present insights. As a key member of our dynamic team, you will also help nurture a culture of continuous learning and innovation, ensuring that we remain at the forefront of Responsible Investing. The ideal candidate is ambitious, determined, and self-motivated, and able to navigate a fast-paced environment.Acadian … the ability to collaborate across regional offices and time zones. Proficient in financial analysis, modelling, and statistics, with experience extracting insights from heterogeneous multi-dimensional datasets. Ability to apply machine learning techniques (e.g., scikit-learn, PyTorch, TensorFlow) and present complex data visually using Matplotlib, seaborn, or Streamlit. Fluent in Python, with experience working with data processing libraries such More ❯

deployment tools Collaborate with stakeholders across data science, analytics, and engineering Build and expose RESTful APIs for secure data integration across platforms Help shape the data architecture that underpins machine learning and AI models What You’ll Bring: Proven experience developing in Python for data-intensive applications Hands-on expertise with Databricks and PySpark Strong grasp of cloud More ❯

deployment tools Collaborate with stakeholders across data science, analytics, and engineering Build and expose RESTful APIs for secure data integration across platforms Help shape the data architecture that underpins machine learning and AI models What You’ll Bring: Proven experience developing in Python for data-intensive applications Hands-on expertise with Databricks and PySpark Strong grasp of cloud More ❯

numerical methods for engineering design. We bring cutting edge research to industry through our cloud platform. Utilising a microservice architecture we continue to integrate and deploy mathematical optimisation modules, machine learning solutions and geometric manipulation algorithms through our flexible software pipeline. Working closely with our clients, some of the biggest players in their industries, we revolutionise the user More ❯

with Linux based servers, particularly those that run applications in Docker Strong experience with Amazon Web Services (AWS), or similar, certification or qualifications are desirable Exposure to cutting-edge Machine Learning and AI technologies, with a passion for exploring their impact on gaming and software development Strong technical background in maths or computer science, educated to at least … games/engines. There is time and space to research and develop cutting edge technologies Opportunities to participate in global hackathons Opportunity to develop your knowledge and skills by learning about the latest techniques in a team of experts with a wealth of industry experience Relaxed working environment with high level of trust and autonomy. All staff are encouraged More ❯

and maintain good working relationships with cross-functional teams. Ability to clearly communicate and present to internal and external stakeholders. Nice to have, but not essential NLP/Deep learning experience (e.g. huggingface … spaCy) Deep learning framework experience (preferably PyTorch) MLOps experience (e.g. data and model versioning, model deployment CI/CD, MLFlow/DVC) Cloud platform experience, especially from an ML standpoint (AWS preferred) Statistical testing experience Experience with AWS Bedrock Experience with C# Containerization via Docker. Awareness of basic data science and generative AI methods. Exposure to generative AI application More ❯

creating solutions that have cloud, web, and mobile app components. In-depth knowledge of cybersecurity, data privacy regulations, and compliance standards. In-depth knowledge of various AI methodologies and learning algorithms. Proven experience in various programming languages like Python, Java, React, C#, domain-specific languages, native and cross-platform development … etc. Preferred Qualifications: Experience in Telecoms and technology domains preferred. Experience in developing private-cloud based software products and platforms. Experience in leading-edge technologies such as AI/ML, blockchain, multi-band IoT. #J-18808-Ljbffr More ❯

personalization. Hands-on experience with agile product development methodologies. Excellent communication and stakeholder management skills. Desirable: Knowledge of modern data tools (e.g., Snowflake, Databricks, dbt, Kafka). Understanding of machine learning workflows and personalization engines. Product certifications (e.g., SAFe, Pragmatic, CSPO). Key Success Metrics: Consistent development rollouts of the Horizon CDP platform. Increased adoption and usage of More ❯

the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. Gain access to endless learning opportunities. Be part of an exciting team who challenge themselves every day. Fast track your growth with diverse career opportunities internally. The Role As a RMN Technical Architect, you … DSP). • Ensure real-time bidding (RTB) and programmatic advertising capabilities within the RMN ecosystem. • Develop a robust ad inventory management framework. AI-Driven Personalization & Automation • Leverage AI/ML for audience segmentation, predictive analytics, and automated campaign optimization. • Implement Generative AI for automated ad creation, content personalization, and A/B testing. • Enhance Dynamic Creative Optimization (DCO) capabilities for … knowledge/experience: • Strong experience in RMN architecture, Ad-Tech, and Mar-Tech solutions. • Expertise in DSPs, SSPs, DMPs, CDPs, ad servers, and programmatic advertising. • Proficiency in AI/ML applications for ad targeting, personalization, and optimization. • Experience with Google Marketing Platform (GMP), Amazon Ads, The Trade Desk, or similar ecosystems. • Strong understanding of cloud architectures (AWS, Azure, GCP) and More ❯

time personalization. Hands-on experience with agile product development methodologies. Excellent communication and stakeholder management skills. Knowledge of modern data tools (e.g., Snowflake, Databricks, dbt, Kafka). Understanding of machine learning workflows and personalization engines. Product certifications (e.g., SAFe, Pragmatic, CSPO). Key Success Metrics: Consistent development roll outs of the Horizon CDP platform Increased adoption and usage More ❯

time personalization. Hands-on experience with agile product development methodologies. Excellent communication and stakeholder management skills. Knowledge of modern data tools (e.g., Snowflake, Databricks, dbt, Kafka). Understanding of machine learning workflows and personalization engines. Product certifications (e.g., SAFe, Pragmatic, CSPO). Key Success Metrics: Consistent development roll outs of the Horizon CDP platform Increased adoption and usage More ❯

time personalization. Hands-on experience with agile product development methodologies. Excellent communication and stakeholder management skills. Knowledge of modern data tools (e.g., Snowflake, Databricks, dbt, Kafka). Understanding of machine learning workflows and personalization engines. Product certifications (e.g., SAFe, Pragmatic, CSPO). Key Success Metrics: Consistent development roll outs of the Horizon CDP platform Increased adoption and usage More ❯

time personalization. Hands-on experience with agile product development methodologies. Excellent communication and stakeholder management skills. Knowledge of modern data tools (e.g., Snowflake, Databricks, dbt, Kafka). Understanding of machine learning workflows and personalization engines. Product certifications (e.g., SAFe, Pragmatic, CSPO). Key Success Metrics: Consistent development roll outs of the Horizon CDP platform Increased adoption and usage More ❯

time personalization. Hands-on experience with agile product development methodologies. Excellent communication and stakeholder management skills. Knowledge of modern data tools (e.g., Snowflake, Databricks, dbt, Kafka). Understanding of machine learning workflows and personalization engines. Product certifications (e.g., SAFe, Pragmatic, CSPO). Key Success Metrics: Consistent development roll outs of the Horizon CDP platform Increased adoption and usage More ❯

time personalization. Hands-on experience with agile product development methodologies. Excellent communication and stakeholder management skills. Knowledge of modern data tools (e.g., Snowflake, Databricks, dbt, Kafka). Understanding of machine learning workflows and personalization engines. Product certifications (e.g., SAFe, Pragmatic, CSPO). Key Success Metrics: Consistent development roll outs of the Horizon CDP platform Increased adoption and usage More ❯

time personalization. Hands-on experience with agile product development methodologies. Excellent communication and stakeholder management skills. Knowledge of modern data tools (e.g., Snowflake, Databricks, dbt, Kafka). Understanding of machine learning workflows and personalization engines. Product certifications (e.g., SAFe, Pragmatic, CSPO). Key Success Metrics: Consistent development roll outs of the Horizon CDP platform Increased adoption and usage More ❯

time personalization. Hands-on experience with agile product development methodologies. Excellent communication and stakeholder management skills. Knowledge of modern data tools (e.g., Snowflake, Databricks, dbt, Kafka). Understanding of machine learning workflows and personalization engines. Product certifications (e.g., SAFe, Pragmatic, CSPO). Key Success Metrics: Consistent development roll outs of the Horizon CDP platform Increased adoption and usage More ❯

time personalization. Hands-on experience with agile product development methodologies. Excellent communication and stakeholder management skills. Knowledge of modern data tools (e.g., Snowflake, Databricks, dbt, Kafka). Understanding of machine learning workflows and personalization engines. Product certifications (e.g., SAFe, Pragmatic, CSPO). Key Success Metrics: Consistent development roll outs of the Horizon CDP platform Increased adoption and usage More ❯

time personalization. Hands-on experience with agile product development methodologies. Excellent communication and stakeholder management skills. Knowledge of modern data tools (e.g., Snowflake, Databricks, dbt, Kafka). Understanding of machine learning workflows and personalization engines. Product certifications (e.g., SAFe, Pragmatic, CSPO). Key Success Metrics: Consistent development roll outs of the Horizon CDP platform Increased adoption and usage More ❯