1,476 to 1,500 of 6,477 Machine Learning Jobs in the UK

product vision. As part of the wider digital and data science roadmap, will lead the design of user experiences in the software that enable machine learning and AI powered features. Will own the planning and execution of usability tests to retrospectively evaluate design effectiveness and identify areas … metrics) to support UX decisions. Familiarity with information architecture, content structure, and interaction patterns across digital platforms. Familiar with the implementation of AI and machine learning applications within a software platform, including relevant efficacy testing, oversight and governance requirements and familiarity with Sketch, or Adobe XDProblem‐solving mindset ...

Help accelerate how teams across JPMorganChase use artificial intelligence to deliver measurable impact. In this role, you will shape firmwide learning, awareness, and change efforts that build practical AI literacy and support responsible adoption. You will partner with stakeholders across the Commercial & Investment Bank to create clear, engaging enablement … communications. You will also help make AI tools and information easier to find and understand through a centralized inventory. If you enjoy combining learning, communications, and emerging technology, this is a high-visibility opportunity to grow your impact. As an AI Knowledge Enablement Associate in the AI Enablement team ...

/continuous delivery, application resiliency, and securityDemonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, Databricks, PySpark, artificial intelligence, machine learning, mobile, etc.)Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting … cloud technologies including AWS, Databricks, and agentic AI solutionsKnowledge of industry-wide technology trends and best practices across disciplines such as artificial intelligence, machine learning, and mobile developmentJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations ...

academic leadership in education across a broad range of AI disciplines Fully engage with Newcastle's Leading Edge Curriculum redevelopment, ensuring that our students' learning is enriched through engagement with research, industry, practice and society Carry out administrative duties as assigned by the Head of School and the School … using appropriate technologies to engage and support students, including supervision of undergraduate and postgraduate projects. Experience leading programme-level design and delivery of teaching, learning and assessment strategies. A strong, sustained international research profile with a consistent track record of high-quality outputs and recognition. A record of successful ...

/continuous delivery, application resiliency, and security practicesDemonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence/machine learning, or mobile)Working knowledge of the Software Development Life CycleHands-on experience using enterprise-authorized AI-assisted software development tools within … expectationsPreferred qualifications, capabilities, and skillsFamiliarity with Python for backend services or toolingExposure to cloud technologies and infrastructure-as-code practicesExperience with artificial intelligence or machine learning concepts and tooling relevant to infrastructure and operations use casesJ.P. Morgan is a global leader in financial services, providing strategic advice ...

continuous delivery, application resiliency, and security practices Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence/machine learning, or mobile) Working knowledge of the Software Development Life Cycle Hands-on experience using enterprise-authorized AI-assisted software development tools within … skills Familiarity with Python for backend services or tooling Exposure to cloud technologies and infrastructure-as-code practices Experience with artificial intelligence or machine learning concepts and tooling relevant to infrastructure and operations use cases ABOUT US J.P. Morgan is a global leader in financial services, providing strategic ...

without authority Technical Knowledge Basic understanding of software architecture and technical feasibility Familiarity with cloud platforms and digital transformation concepts Knowledge of AI/ML capabilities, limitations, and business applications (for AI products) Understanding of data warehousing, analytics, and data-driven products Awareness of cybersecurity, data privacy (GDPR, CCPA … record of successful product launches and achieving business metrics (revenue, adoption, market share) Experience managing B2B or B2B2C technology products Experience with AI/ML products or analytics platforms is preferred Strong background in data-driven product management and experimentation Experience with enterprise sales cycles and customer success management Experience ...

engineering bar across your team and the wider business unit. Acting as both a technical authority and a mentor, you’ll work alongside Machine Learning Engineers and Data Scientists to deliver production-grade solutions that provide immediate value to our customers in a fast-paced, entrepreneurial environment. What … production-ready code in Python and compiled languages such as Rust, C++, or Go. Collaborating with cross-functional teams to integrate advanced AI and Machine Learning capabilities into software architectures. Distilling complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders. ...

drive decision-making. The CDAO also develops and implements solutions that support the firm’s commercial goals by responsibly harnessing artificial intelligence and machine learning to develop new products, improve productivity, and enhance risk management. As a Lead Technical Program Manager at JPMorganChase within CDAO, you will lead … drive decision-making. The CDAO also develops and implements solutions that support the firm’s commercial goals by responsibly harnessing artificial intelligence and machine learning to develop new products, improve productivity, and enhance risk management. As a Lead Technical Program Manager at JPMorganChase within CDAO, you will lead ...

Build With Us Today, there’s a lot of hype around ‘verticalized AI’ but when our journey started in 2021, people outside of the ML community barely knew or cared about active reinforcement learning. ChatGPT didn’t exist. I remember getting frustrated and thinking... … transition to a more managerial/executive role. Lead an autonomous lance of elite engineers to fix healthcare and save lives. Work with the ML/data team to creatively ideate and ship features to improve ETL pipeline throughput and quality through a data-driven approach powered by analytics. #J ...

data assets, ensuring they meet the requirements of scalable, transformation-facing analytics. Contribute to data assets and pipelines that are structured to support AI, machine learning, and agentic workflows - increasingly the default mode of delivery rather than a side project. Monitor and optimise the performance of data models … with data pipeline concepts, transformation logic, and ETL/ELT processes. Working understanding of how data assets are structured and prepared to support AI, machine learning, and agentic use cases - this is now a core expectation of the role, not a nice-to-have. Comfortable translating business logic ...

design and development of algorithms and probabilistic models for analysis of array and NGS data supporting genotyping and genetics applications. Apply statistical, computational, and machine‐learning methods to large‐scale genetic and epigenetic datasets (e.g., genotyping, sequencing, copy number, methylation). Design and develop production‐grade software that … about translating complex genomic data into impactful solutions that advance translational research and precision medicine. You will have experience with array and NGS technologies, machine learning approaches, and scalable software development practices including testing automation, CI/CD, and software lifecycle management. For staff‐level candidates, experience providing ...

support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. The Core Engineering’s 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities within six business … technology risk FUNCTIONALITY DESCRIPTION Developing risk models and risk sensitivity analysis that use advanced mathematical/statistical/engineering approaches such as optimization, machine learning, regressions, visualization Performing detailed analysis on risk trends and drivers Updating and maintaining risk models along with business growth and risk environment changes ...

have a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … client's challenges! It would be great if you also had experience in some of these, but if not well help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such ...

high-quality enterprise scale software solutions Design, implement, and test high-performance C++ applications Devise, implement, and test innovative image processing/analysis/machine learning solutions to address challenges of nano scale microscopy and deliver value to the customer Debug and troubleshoot hardware/software integration issues … Collaboration: Works with all stakeholders, building capabilities, and cultivates an inclusive culturDesired skills and qualifications: Masters degree Excellent programming skills in Python Experience in machine learning pipelines Experience of developing embedded software/hardware-software integrated solutions. Experience of developing microscopy/scientific softwareAt ONI, we understand that ...

system- Experience in external or internal customer facing, complex and large scale project management- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies- Experience building large-scale machine learning and AI solutions at Internet scalePreferred qualification - PhD in Operations Research ...

Outdoor. This is a hybrid role based at our Holborn office in central London. Key Responsibilities Model Development & Optimisation: Design, build and optimise ML and deep-learning models—including for ad targeting and attribution with a focus on scalability, performance and accuracy, and prototype and evaluate new approaches. ML … Pipelines & Real-Time Inference: Build and maintain robust end-to-end ML pipelines covering training, validation, deployment and monitoring, and develop real-time inference systems with low latency and high throughput. Monitoring & Reliability: Implement model monitoring, drift detection, alerting and retraining, and optimise models for reliability and cost efficiency ...

design and development of algorithms and probabilistic models for analysis of array and NGS data supporting genotyping and genetics applications. Apply statistical, computational, and machine‐learning methods to large‐scale genetic and epigenetic datasets (e.g., genotyping, sequencing, copy number, methylation).Design and develop production‐grade software that automates … about translating complex genomic data into impactful solutions that advance translational research and precision medicine. You will have experience with array and NGS technologies, machine learning approaches, and scalable software development practices including testing automation, CI/CD, and software lifecycle management. For staff-level candidates, experience providing ...

design and development of algorithms and probabilistic models for analysis of array and NGS data supporting genotyping and genetics applications. Apply statistical, computational, and machine‐learning methods to large‐scale genetic and epigenetic datasets (e.g., genotyping, sequencing, copy number, methylation).Design and develop production‐grade software that automates … about translating complex genomic data into impactful solutions that advance translational research and precision medicine. You will have experience with array and NGS technologies, machine learning approaches, and scalable software development practices including testing automation, CI/CD, and software lifecycle management. For staff-level candidates, experience providing ...

design and development of algorithms and probabilistic models for analysis of array and NGS data supporting genotyping and genetics applications.* Apply statistical, computational, and machine‐learning methods to large‐scale genetic and epigenetic datasets (e.g., genotyping, sequencing, copy number, methylation).* Design and develop production‐grade software that … passionate about translating complex genomic data into impactful solutions that advance translational research and precision medicine.You will have experience with array and NGS technologies, machine learning approaches, and scalable software development practices including testing automation, CI/CD, and software lifecycle management. For staff-level candidates, experience providing ...

single profile we hire for. Some of us are strongest at data modelling and analytics engineering, some at experimentation and causal inference, some at machine learning, some at stakeholder influence. You'll likely be excellent at one or two of these and competent across the rest. That … modelling and analytics engineering (dbt, dimensional modelling, semantic layers, self-service) Experimentation and causal inference (A/B test design, quasi-experiments, statistical rigour) Machine learning and applied data science (forecasting, prediction, segmentation, evaluation) Product analytics and metric design (funnels, cohorts, adoption frameworks, North Star metrics) Nice ...

growth and help change an industry for the better. About the team GenAI Engineering sits within Motorway's Data and AI function, alongside Machine Learning and the Machine Learning Data Platform. We own the AI features that shape how buyers and sellers experience the marketplace, from ...

technical excellence, ownership and continuous improvement while delivering platform capabilities with broad organisational impact. Partner Across Monzo: Work closely with Credit, Engineering, Product, Machine Learning, Data and Risk teams to build platform capabilities that accelerate experimentation, simplify strategy deployment and improve the speed and quality of credit decisioning. … ambiguity, designing frameworks from scratch, and delivering meaningful change. You are an exceptional cross-functional leader who thrives when partnering with Engineering, Product, Risk, Machine Learning and Credit teams to deliver shared platform capabilities. You have a track record of leading and developing analytical talent ...

customer obsession and technical excellence. A key dimension of this role is helping customers understand how AWS foundational services underpin and enable AI/ML transformation — ensuring infrastructure readiness, performance optimization, and security posture as customers scale their AI ambitions. Key job responsibilities Team Leadership & Management Build, coach, and retain … domain areas Identify patterns in customer needs across the region to inform product priorities, especially at the intersection of core infrastructure and AI/ML workloads Represent AWS in executive-level discussions, public speaking engagements, industry events, and written content that demonstrates how AWS infrastructure delivers customer value Basic Qualifications ...

MLflow, CI/CD, Terraform or Databricks certification would be a bonus. About 7Dxperts 7Dxperts helps organisations solve complex challenges using Data, Spatial and Machine Learning technologies. We focus on building practical, targeted solutions that make a measurable difference. What we offer Databricks training and upskilling. Support towards ...