2,251 to 2,275 of 6,363 Machine Learning Jobs in the UK

improve customer outcomes and accelerate platform modernization. Key ResponsibilitiesAI-Driven Experience TransformationDefine and execute a UX vision aligned to AI-enabled product strategy (GenAI, ML-driven personalization, automation)Identify and deliver high-impact transformation initiatives that simplify workflows and enhance decision-makingEmbed responsible AI principles (transparency, bias mitigation, usability) into …/UI design, with 5+ years in leadership rolesProven experience leading digital transformation initiatives in SaaS or platform environmentsStrong exposure to AI/ML-enabled products or data-driven designExperience scaling UX across global, multi-product ecosystemsDeep expertise in design systems, interaction design, and user researchStrong executive communication and stakeholder ...

layout optimizations tailored to spatial processors.* Publish and present technical work on novel compilation approaches for inference and related spatial accelerators at top tier ML, compiler, and computer architecture venues. **What we need to see:*** MS or PhD in Computer Science, Electrical/Computer Engineering, or related field, or equivalent … from the crowd:*** Prior work on spatial or dataflow architectures, including static scheduling, pipeline parallelism, or tensor parallelism at scale.* Contributions to opensource ML frameworks, compilers, or runtime systems, particularly in areas related to performance or scalability.* Demonstrated research impact, such as publications or presentations at conferences like PLDI ...

merchandising works across Expedia Group. Minimum Qualifications: 10+ years of product management experience building consumer or platform products, including meaningful work with AI, ML, or technically complex systems. Strong technical depth and experience partnering with engineering and DS/ML teams; comfortable discussing agent architectures, system design, data flows, tradeoffs … them when agents act on live customer experiences, including regulatory constraints on pricing display and urgency messaging. Background in software engineering, data science, or ML (professional experience or equivalent technical projects), even if you have primarily worked as a PM. Experience building frameworks, tools, or platforms adopted by multiple teams ...

Python and Go codebase, working alongside senior engineers who set technical direction, the data team who own the ingestion pipelines, and a research‐focused ML team who train and evaluate the models we integrate and serve. The loop is short: product brings an idea, often recent and unproven … same vectors drive network construction and community detection. Work within a model‐agnostic design, swapping models and embeddings on the back of the ML team's evaluations rather than being locked to one. Service design and delivery Take a well‐defined problem, clarify requirements with your lead or a senior ...

merchandising works across Expedia Group. Minimum Qualifications: 10+ years of product management experience building consumer or platform products, including meaningful work with AI, ML, or technically complex systems. Strong technical depth and experience partnering with engineering and DS/ML teams; comfortable discussing agent architectures, system design, data flows, tradeoffs … them when agents act on live customer experiences, including regulatory constraints on pricing display and urgency messaging. Background in software engineering, data science, or ML (professional experience or equivalent technical projects), even if you have primarily worked as a PM.Experience building frameworks, tools, or platforms adopted by multiple teams ...

technology teams to select and shape appropriate technologies for scalable analytics, trading strategy development, tick or time-series data, workflow automation and AI/ML-enabled use cases. Prefer Databricks, Spark and modern lakehouse patterns for scalable analytics where suitable, while recognising transferable experience with Snowflake and other enterprise data … suitable for enterprise use. Analytics, AI and Agentic Strategy Prioritisation Prioritise data access, tooling and platform capabilities required to support advanced analytics, AI/ML, NLP, intelligent automation and agentic strategies for the group. Identify opportunities to deploy production-grade analytics and AI-enabled solutions that improve decision-making, risk ...

Design: Lead the data platform architecture across the cloud estate, designing scalable lakehouse patterns, real-time and batch pipeline architectures suitable for AI/ML infrastructure. Person Specification Data architecture expertise across multi-environment estates: proven experience designing and governing data architectures that span cloud, hosted data centre … data architecture standards, design patterns, and principles at an enterprise level. Prior involvement in architecture governance forums (TDA, ARB, or equivalent) essential. AI and ML platform architecture: experience designing AI/ML data infrastructure — including feature stores, model training pipelines, inference serving, and GenAI/RAG architectures grounded in proprietary ...

drug discovery platform. Working within the Data Infrastructure team, you will lead complex initiatives spanning AWS platform engineering, scientific data systems and AI/ML workloads. You will collaborate closely with cloud engineers, data engineers, bioinformaticians, AI scientists, computational biologists, and experimental scientists to turn evolving scientific needs into secure … work in the UK. Responsibilities: Lead the architecture and evolution of our AWS-based infrastructure across cloud services, scientific data platforms and AI/ML workloads, balancing delivery speed, reliability, security and cost. Design and implement reusable infrastructure-as-code, CI/CD and environment-management patterns that make production ...

solutions with and for our customers. The ideal candidate will have a strong understanding of software engineering principles and practices and deep experience with ML/AI application development. You will be responsible for owning large AI projects for one or many customers. You will: Develop enterprise grade solutions that … commercialize across the industry. Ideally you'd have: Technical degree in computer science, engineering, or equivalent experience4+ years of experience in building ML-powered products, experience in enterprise-facing products is a plusStrong understanding of generative AI technologies and their applications in enterprise settingsExperience operating in a fast-paced environment ...

solutions with and for our customers. The ideal candidate will have a strong understanding of software engineering principles and practices and deep experience with ML/AI application development. You will be responsible for owning large AI projects for one or many customers. You will: Develop enterprise grade solutions that … commercialize across the industry. Ideally you’d have: Technical degree in computer science, engineering, or equivalent experience 4+ years of experience in building ML-powered products, experience in enterprise-facing products is a plus Strong understanding of generative AI technologies and their applications in enterprise settings Experience operating ...

self-service of data analytics to data hungry internal users as well as automation of all our data workflows - from simple ETL jobs to ML training and prediction. The data team at OEV is growing at speed. We have invested time and resources on establishing a core data platform … integration with third party systems and ingestion through APIs) Scope and deliver new data engineering projects in collaboration with business stakeholders Develop and deploy ML infrastructure to help build out our ever-growing AI requirements and use cases Collaborate closely with our dev teams to build seamless integrations between ...

performance cloud workflows. Raising engineering standards – introducing Git, CI/CD pipelines, automated testing and best-practice engineering processes. Preparing data for AI and ML – designing resilient architectures that ensure high-quality, accessible data for future AI initiatives. What You Will Need In The Role Of Data Engineer 3–5+ … Python for automation Solid understanding of star schemas and Kimball methodologies Experience supporting advanced Power BI models (DAX and Power Query) Exposure to ML/AI concepts (e.g. scikit-learn, TensorFlow) or an interest in preparing data for LLMs, RAG architectures or predictive models Experience with Docker and/ ...

make in this role? In this role, you will leverage diverse datasets and apply quantitative and data-driven analytical techniques, including AI/ML, to provide actionable insights and recommendations at the single name and/or sector/country level. These insights will enhance our investment process which spans … portfolio optimization solutions. What will you do as a Quantitative Strategist? Partner with portfolio managers and analysts to leverage data, quantitative techniques, AI/ML, visualization tools for research and analysis, validating investment hypotheses and providing actionable insights to help screen for investment opportunities and conduct due diligence ...

discovery workflows Design and maintain rigorous benchmarking and evaluation frameworks that measure model quality across modalities, downstream tasks, and scientific use cases Collaborate with ML and software engineering colleagues to productionize models, evaluation systems, and inference services Partner with computational chemists, medicinal chemists, and biologists to ensure model development … discovery needs Communicate results to internal teams, external partners, and at conferences Write high-quality research and engineering code: refactor, test, document, and package ML components to support team velocity QUALIFICATIONS PhD in machine learning, computer science, computational chemistry, physics, or a related computational STEM field, or equivalent ...

platform capabilities that make data easier to access, govern and use. Define and deliver the AI and data intelligence roadmap for FinTRACE, enabling AI, ML, LLM and agentic AI use cases on trusted datasets safely and responsibly. Lead platform transformation, migration and modernisation activity, reducing technical debt, simplifying the landscape … ability to design, optimise and troubleshoot complex queries, data models and performance issues across enterprise-scale platforms. Have delivered enterprise data platforms, AI/ML platforms, modern analytics environments and data governance capabilities that are scalable, reliable and built for long-term value. Know how to implement strong data governance ...

communicating across disciplines — you can hold your own in conversations with clinicians, members, statisticians, product managers and experts by experience. Familiarity with data pipelines, ML tooling or applied AI is a plus; deep ML expertise is not required. Comfortable with ambiguity and the pace of a growing startup. Based ...

judge, safety/alignment metrics) Inference optimisation (quantization, distillation, vLLM/TensorRT-LLM) Requirements: - PhD or Master's in CS/AI/ML/Physics/Maths or equivalent research experience - Strong hands-on expertise in at least one core area above - Strong Python and PyTorch/distributed training ...

Inclusive Top 50 Companies Employer list.Everyone needs some help showing up as their best self. Job Description We’re looking for a Senior Machine Learning Engineer to join our cross‐functional Personalisation team. In this role, you’ll help design, build and run machine learning systems … develop their technical skills and confidence Contributing to technical direction, helping define machine learning standards, and sharing knowledge across ASOS’s wider ML and engineering community Qualifications Professional experience applying machine learning in real‐world, production environments, with a focus on deep learning techniques Experience ...

surface profiler, thin film, sheet resistance and nanoindentation measurement instruments, leveraging cutting-edge technologies and the latest advancements in software engineering and AI/ML/DL. Responsibilities: Deliver well-defined features/components with high-level guidance: estimate work, communicate risks/tradeoffs, and deliver on scheduleOwn and evolve … performance and diagnostics/observability for system-level softwareExperience collaborating across teams on system integration and software releases for complex systemsExperience delivering AI/ML capabilities in productsUX skills including wireframing, prototyping, and user flow designWhat we will offer you? KLA's benefits package includes: Annual leave starting ...

functionality to rearchitecting critical systems for scale, accuracy, and performance. Whether it's optimizing for complex, multi-country edge cases or introducing AI/ML-based solutions to implement intelligent agentic workflows , your work will directly shape the infrastructure powering one of Rippling's largest and fastest-growing markets. … currencies. Drive platform evolution by re-architecting critical systems for scalability, reliability, and internationalization—enabling global payroll operations at scale. Develop AI- and ML-driven solutions to enhance accuracy, detect anomalies, automate workflows, and minimize manual intervention. Define and execute a long-term architectural vision for Rippling's global payroll ...

instrument hardware to rich C#/.NET desktop applications, leveraging cutting-edge technologies and the latest advancements in software engineering and AI/ML/DL. Responsibilities: Deliver well-defined features/components with high-level guidance: estimate work, communicate risks/tradeoffs, and deliver on scheduleCollaborate cross-functionally across … analog electronics, sensors, motion control, and signal processingExperience collaborating across teams on system integration and software releases for complex systemsExperience delivering AI/ML capabilities in productsUX skills including wireframing, prototyping, and user flow designWhat we will offer you? KLA's benefits package includes: Annual leave starting at 25 days ...

company implements its development roadmap, the distinction between these two aspects will blur with satellite operations increasingly transitioning to automated AI/ML tools to manage the fleet. The ideal candidate combines a rigorous, process-driven approach to software quality with an analytical mindset and operational awareness to allow them … operations tooling, improving Fault Detection, Isolation and Recovery (FDIR), increasing automation and raising the availability of the satellite fleet through transition to AI/ML based systems. Serve as the mission assurance interface to the operations team, software engineers, and systems engineers during anomaly investigations and resolution. Basic Skills/ ...

understanding of LLMs, RAG, embeddings, vector databases and orchestration Experience taking AI solutions from concept through to production Strong Python and modern AI/ML engineering knowledge Experience with major cloud platforms such as AWS, Azure or GCP Strong architecture and system-design capability Experience communicating complex technical concepts ...

Data Engineering Consultant, Data Specialist, Data Bricks, Snowflake, Data Analytics, Azure, Fabric, ML, Azure, Mainly Remote Data Consultant/Data Specialist required to join a fast growing Professional Services business based in the City of London. As this is an external client facing consulting role, you will be expected ...

Record: Proven experience as a PM/PO launching new software products from concept to deployment. Physical AI/IoT: Experience with AI/ML products that interact with the physical world (sensors, edge devices, or industrial tech). Domain Fluency: Background in critical infrastructure or Operational Technology (OT) environments ...