1,926 to 1,950 of 6,391 Machine Learning Jobs in the UK

innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences for the traveler and our partners that drive loyalty and customer satisfaction. The Expedia Group Pricing … globally distributed team environment Preferred Qualifications Experience with low-latency and high-throughput processing (1M+ TPS) microservices. Demonstrated proficiency in safely integrating AI/ML-enabled solutions within backend systems and leveraging AI-driven tools or workflows to enhance real-world product outcomes. Accommodation requests If you need assistance with ...

chain datasets. The ideal candidate will hold a PhD in a related technical field, with expert proficiency in Python and SQL, alongside experience in machine learning and statistical modeling. This role involves mentoring junior team members and collaborating on innovative projects within the blockchain space. #J-18808-Ljbffr ...

They are now looking for a Machine Learning Research Lead to guide strategy, research direction and hands-on development across multiple audio ML domains. You will lead a small, high-performing team of researchers and engineers, shaping the roadmap for new audio technologies used by thousands of people … 3+ years of experience leading machine learning research or engineering teams Strong Python skills and deep expertise with at least one modern ML framework such as PyTorch Proven experience applying and optimising AI/ML algorithms in a production-oriented environment Preferred: Knowledge of real-time audio signal ...

want to hear from you. In return, you’ll enjoy heaps of flexibility, great perks and benefits, and the freedom to be yourself, keep learning and take your career wherever you want it to go. If you love making a difference, you’ll love making it sparkle for millions … Financial Services team. You’ll lead how we optimise offers across Very Pay and third-party FS products, using data, experimentation and machine learning to drive smarter decisions across the customer journey. From powering personalisation in Sigma IQ to leading advanced testing and modelling strategies, you’ll balance ...

define and invent cloud-native reference architectures across a range of use cases - including Generative and Agentic AI (and its application to Agentic Commerce), Machine Learning, Serverless and container-based architectures, Data and Analytics, DevOps and Security - and turn delivered solutions into reusable assets that other Solutions Architects … advocacy for customers who want a deeper support relationship Specialists across many technical domains - bring deep expertise in areas such as AI/ML, data & analytics, security, networking and more, on tap when you need themAs the Solutions Architect, you connect the technical dots across this team ...

identify trends, patterns, opportunities and issues Apply statistical and mathematical techniques to investigate business problems and support decision-making Build predictive models, algorithms and machine learning solutions where they add value Reporting & visualisation Develop and maintain Tableau dashboards and reporting that communicate findings, and help stakeholders … complex datasets Able to explain analytical findings clearly to non-technical stakeholders A practical, curious and commercially-minded approach to problem-solving Experience with machine learning, Snowflake, Matillion or other ETL tools, modern cloud data stacks, or large-scale video and unstructured datasets would all be useful ...

have a genuine passion for problem solving and generating robust and elegant solutions based on your experience and knowledge in data science/analysis, machine learning and artificial intelligence. You will leverage your technical expertise to spearhead the development of innovative technology and AI solutions that form … evolution of our client services, and driving our commercial growth through cutting-edge technological advancements. Purpose of the role: Apply data science/analysis, machine learning and artificial intelligence expertise to help drive the growth of technical innovation to increase efficiency of current services and develop new innovative ...

finance and healthcare social sciences. The Section provides in particular a strong and interdisciplinary research network covering all aspects of big data analysis and machine learning, through links to Imperial’s Data Science Institute, the Mathematics in Medicine initiative; Imperial’s Machine Learning Initiative, Imperial ...

heart of how we make decisions and build products at Monzo. Our Data teams bring together Data Science, Analytics Engineering, Data Analytics and Machine Learning, working closely with Product, Engineering and other teams across the business. Our Data Scientists are embedded within product and business areas across Monzo … where they use experimentation, causal inference, statistical modelling, machine learning and analytics to understand our customers, identify opportunities and influence the direction of our products and strategy. As a Data Science Manager , you'll lead a team of Data Scientists and other Data professionals within one of these ...

defined, helping to answer the most challenging issues in connectivity. Digital transformation is everywhere, with technologies such as Multi-Cloud, Cybersecurity, Automation, IoT, AI, Machine Learning, and 5G driving the next waves of innovation. Our Sales Engineering team empowers customers and partners to solve complex challenges with scalable … industry - HPE Networking is the place for you! We are seeking a Senior Distinguished Technologist to lead architecture and solution design for AI/ML Networking Infrastructure, Data Center, and WAN networking opportunities globally. This role requires deep technical expertise, experience, creative problem-solving, and strong customer engagement skills ...

secure video record of every procedure; improving training, education, and collaboration. It is an intuitive asset which helps instil a culture of continuous learning, accelerates the adoption of cutting-edge medical devices, and enhances surgical performance across the entire global workforce – improving outcomes and saving lives. Proximie was commercialised … dependable at scale. Using your deep technical expertise and real-world production experience, you will own the platform and the infrastructure that carry our machine learning solutions out of development and into hundreds of live hospitals, and keep them performing once they are there. Our machine learning ...

Role As a Data Scientist, you will develop predictive models and analytical solutions that support client decision-making and customer strategy.Responsibilities include: Building machine learning models across use cases including propensity to pay, customer acquisition, churn prediction, lifetime value and segmentation Developing classification, regression and clustering models using … Offer Salary up to £65,000 Hybrid working with two days per week in London Exposure to a broad range of Data Science and machine learning projects Direct client engagement and stakeholder exposure Access to modern cloud and analytics technologies Strong opportunities for technical and professional development Collaborative ...

want to hear from you. In return, you'll enjoy heaps of flexibility, great perks and benefits, and the freedom to be yourself, keep learning and take your career wherever you want it to go. If you love making a difference, you'll love making it sparkle for millions … Financial Services team. You'll lead how we optimise offers across Very Pay and third-party FS products, using data, experimentation and machine learning to drive smarter decisions across the customer journey. From powering personalisation in Sigma IQ to leading advanced testing and modelling strategies, you'll balance ...

take ownership of key machine learning components throughout their entire lifecycle. You'll be responsible for designing, developing and deploying scalable ML systems that solve complex real-world problems. Your responsibilities will include: Designing and implementing production-ready machine learning systems. Owning the full ML lifecycle … learning infrastructure What We're Looking For Commercial experience building and deploying machine learning models into production. Strong understanding of modern ML architectures and production challenges. Excellent software engineering skills with a focus on maintainable, production-quality code. Ability to work independently and take ownership of technical ...

public sector, defence or other regulated environments is desirable Experience working within secure environments and understanding security and assurance requirements is desirable Exposure to machine learning or AI workloads and supporting data platforms is desirable Core Competencies Demonstrates expertise in designing and implementing scalable data platforms … Engagement Communication Mentoring CollaborationLeadership Certifications & Qualifications AWS Certification (Associate or Professional Level) SC Clearance Eligibility Industry Keywords Public Sector Defence Regulated Environments Security Assurance Machine Learning AI Workloads Tools & Technologies AWS S3 AWS Glue AWS Lambda AWS Athena AWS Redshift AWS EMR Terraform Spark Kafka Databricks #J ...

future direction of the AutoLab AI platform. Essential knowledge, skills, and experience MSc, PhD, or equivalent industry experience in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related discipline. Hands-on experience with frontier foundation models, including autoregressive foundation models such as Large Language Models (LLMs), Vision … Language-Action (VLA) models, as well as embodied AI models and world models. Experience with continuous pre-training, post-training, supervised fine-tuning, reinforcement learning, and other foundation model optimisation techniques. Hands-on experience building end-to-end machine learning pipelines, including data curation, data mixing, model ...

Innovation and help shape the use of predictive science in Crop Protection R&D. As a Senior Data Scientist – Predictive Science, you will develop machine-learning and predictive-modelling approaches that guide the discovery, optimisation and development of Crop Protection solutions. You will connect diverse scientific data with … performance indicators and success metrics for predictive modelling initiatives to demonstrate business impact. Mentor junior data scientists and analysts, fostering a culture of continuous learning and methodological excellence within the team. Ensure robust documentation of modelling approaches, assumptions and validation procedures to support reproducibility and knowledge transfer. Communicate complex ...

business requirements and translate them into effective technical solutions Producing high-level solution designs and detailed technical designs Exploring opportunities to use advanced analytics, machine learning and AI to derive additional value from data Contributing to technical standards, development practices and continuous improvement across the wider data function … simply building pipelines. You’ll work across ingestion, engineering, modelling, reporting and analytics, while also having the opportunity to contribute to newer AI and machine learning initiatives. You’ll join a collaborative data team where you can take ownership of projects, influence technical approaches and help shape ...

York. In this role, youll make an impact in the following ways: Design, build and deliver enterprise-grade AI-driven solutions, including machine learning and generative AI capabilities, to solve meaningful business problems and accelerate innovation. Work closely with Product, Sales, Trading and Operations stakeholders to translate business … successful in this role, were seeking the following: Strong experience designing, building and delivering scalable technology solutions in Enterprise environments. Experience in machine learning or generative AI use cases, with the ability to apply these technologies to meaningful business problems. Strong understanding of how AI can be embedded ...

York. In this role, youll make an impact in the following ways: Design, build and deliver enterprise-grade AI-driven solutions, including machine learning and generative AI capabilities, to solve meaningful business problems and accelerate innovation. Work closely with Product, Sales, Trading and Operations stakeholders to translate business … successful in this role, were seeking the following: Strong experience designing, building and delivering scalable technology solutions in Enterprise environments. Experience in machine learning or generative AI use cases, with the ability to apply these technologies to meaningful business problems. Strong understanding of how AI can be embedded ...

computer scientists—all united by a passion for solving complex commercial problems with data and algorithms. We leverage cutting‐edge techniques in data analysis, machine learning, and optimisation to build systems that automate decision‐making and drive competitive advantage. If you thrive in intellectually challenging environments and want … data science, econometrics, quantitative economics, operations research, mathematics, or related field 2+ years of experience in commercial analytics, algorithm development, or applied statistical/machine learning modelling Proficiency in SQL and Python Strong understanding of commercial/pricing problems and business fundamentals Advanced data skills: statistical modelling, machine ...

architecture patterns including data products, data mesh, data fabric and cloud-based data platforms. Ensure enterprise data is appropriately governed and prepared for AI, Machine Learning and advanced analytics use cases. Produce and maintain enterprise architecture artefacts and contribute to architecture governance and design authorities. Facilitate architecture workshops … Management Data platform and data warehouse architecture Data integration and interoperability Cloud-based data architectures Architecture governance and standards Data architecture supporting AI/Machine Learning/advanced analytics Architecture repositories and modelling tools You should be comfortable operating at both strategic and technical levels - able to establish ...

Data UK practice, within the AI & Modelling Craft: a community of data scientists, AI engineers, modellers and solution architects focused on applying AI, machine learning and advanced analytics to solve customer and growth challenges. Our teams work across the full lifecycle, from identifying opportunities and designing solutions through … building, deploying and operating AI products that deliver measurable business value. The Role As a Customer AI Engineer, you will design, build and deploy machine learning, generative AI and agentic AI solutions that help our clients better understand, serve and grow their customers. This is a hands ...

computer scientists—all united by a passion for solving complex commercial problems with data and algorithms. We leverage cutting-edge techniques in data analysis, machine learning, and optimisation to build systems that automate decision-making and drive competitive advantage. If you thrive in intellectually challenging environments and want … data science, econometrics, quantitative economics, operations research, mathematics, or related field 2+ years of experience in commercial analytics, algorithm development, or applied statistical/machine learning modelling Proficiency in SQL and Python Strong understanding of commercial/pricing problems and business fundamentals Advanced data skills: statistical modelling, machine ...

reliable systems that power smarter decisions? You could be part of our team, joining our Pricing and Underwriting domain to bridge the gap between machine learning, data science, and engineering. What you’ll do Shape the architecture of data products built for: analytics forecasting feature engineering customer behavior … tooling and frameworks that enable teams to: ingest data store data transform data serve their own data products confidently Partner closely with: data scientists machine learning engineers Improve and evolve the overall data infrastructure Experiment with emerging technologies Explore open-source tools Engage with the broader tech community ...