601 to 625 of 2,088 Machine Learning Jobs in the UK excluding London

deliver high quality code that meets customers requirements Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Experience working with messaging systems: Kafka, MQ, SQS Exposure to cloud technologies (Kubernetes/AWS More ❯

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. Collaboration: having flexibility More ❯

contractors, MoD, NATO) . Certifications in data privacy, security, or regulatory compliance (e.g., GDPR, MoD security frameworks). Knowledge of AI-driven analytics and machine learning applications in the defence sector. Why Join DXC Technology? You will be working within a leading IT consultancy experiencing rapid growth in More ❯

deployment, auditing and ongoing evaluation of AI products to be integrated into NPIC digital pathology PACS and image management platforms. The role will implement machine learning operations principles to ensure that deployment is underpinned by a sound strategy for the whole of the AI life cycle. A successful More ❯

of data engineering processes and product development Influence the evolution of the company's data architecture to support emerging needs and business growth, including machine learning and AI-based solutions Lead efforts to modernise and scale the data infrastructure, ensuring flexibility for future needs Stakeholder Communication & Reporting: Communicate More ❯

with stakeholders across our internal and customer teams. Work includes scope, planning, mobilising, managing and reporting on contracts and projects that cover cloud consultancy, machine learning, data platform, and advanced analytics solutions for our customers - built with modern tools across the open source and cloud platform landscape. You More ❯

deployment, auditing and ongoing evaluation of AI products to be integrated into NPIC digital pathology PACS and image management platforms. The role will implement machine learning operations principles to ensure that deployment is underpinned by a sound strategy for the whole of the AI life cycle. A successful More ❯

with live-streaming data Writing clean, efficient Java code (Python is a bonus!) Enhancing and scaling the experimentation framework to support data science and ML operations Ensuring high-quality, accurate data delivery across data platforms Collaborating with analytics engineers and data scientists to enable fast insights Participating in a CI More ❯

role in driving quantitative deliveries across all of the banks Global Markets businesses managing the core data and analytics platform, including Data, AI/ML, and Governance & Core Engineering. This individual will be responsible for delivering user-facing analytics capabilities to businesses across the markets division. We are seeking an More ❯

in data science and predictive modelling. Strong background in revenue forecasting, demand prediction, or similar fields. Proficiency in Python, SQL, AWS and experience with ML frameworks. Experience in Computer Vision is a plus. Strong academic background (master's from Cambridge, UCL, Imperial, or similar preferred). Why Join? Be part More ❯

BI analysts, data scientists, and AI developers Shape data infrastructure and analytics capabilities from warehousing to visualisation (Power BI, Tableau, etc.) Develop and deploy ML and AI solutions across key business areas (including Generative AI and Computer Vision) Build frameworks for data governance, security, quality, compliance (GDPR, ICO, DVLA, BPA More ❯

shell scripting experience C++ programming experience (2+ years preferred) Experience with other programming or scripting languages is a plus Experience building automation testing using ML & AI is a plus Capital markets and/or financial services knowledge (e.g., trading, market data, protocols) is desired Experience with financial, transactional, or message More ❯

place, maintaining accuracy, security, and compliance. Establish scalable data models that support both operational and strategic decision-making, with awareness of emerging AI/ML opportunities. We have efficient, scalable data infrastructure that supports analytics and automation: Design and optimize data pipelines, ensuring high availability and performance. Eliminate data silos More ❯

of RESTful API design and implementation Git-based source control and JIRA Knowledge/experience working with Cloud, preferably AWS Knowledge of AI/ML and latest AI trends & technologies Familiarity in LLM frameworks and libraries such as LangChain, Langfuse, LiteLLM Agile/SCRUM Strong technical, problem solving and communication More ❯

unstructured and structured data pipelines including large image datasets Knowledge of modern data warehousing and data lake technologies Practical experience with Python, R, and ML frameworks (PyTorch and Tensorflow) and statistical methods Linux system administration AWS and GCP administration Experience with GPU cluster and Linux server administration Desirable PhD in More ❯

analysis from our Data Warehouse and Data Lake, playing a key role in providing support to the business in their Data Science, AI, and ML initiatives. Our Data & Analytics technology stack consists primarily of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the More ❯

analysis from our Data Warehouse and Data Lake, playing a key role in providing support to the business in their Data Science, AI, and ML initiatives. Our Data & Analytics technology stack consists primarily of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the More ❯

of the SAP DTS Capability. As part of the role, you will have access to enhance your consulting, functional and technical skills, through Capgemini learning and development, and the latest industry recognised certifications. Your role Analyse and assess client business processes and requirements to design SAP MM/WM … of the latest SAP capabilities and roadmap. AI and Machine Learning Interest: Passion to stay at the cutting edge of AI and ML advancements in SAP, and leveraging these technologies to drive automation, optimise processes, and deliver intelligent analytics that enhance business performance. Your security clearance To be More ❯

of the SAP DTS Capability. As part of the role, you will have access to enhance your consulting, functional and technical skills, through Capgemini learning and development, and the latest industry recognised certifications. Your role Analyse and assess client business processes and requirements to design SAP MM/WM … of the latest SAP capabilities and roadmap. AI and Machine Learning Interest: Passion to stay at the cutting edge of AI and ML advancements in SAP, and leveraging these technologies to drive automation, optimise processes, and deliver intelligent analytics that enhance business performance. Your security clearance To be More ❯

of the SAP DTS Capability. As part of the role, you will have access to enhance your consulting, functional and technical skills, through Capgemini learning and development, and the latest industry recognised certifications. Your role Analyse and assess client business processes and requirements to design SAP MM/WM … of the latest SAP capabilities and roadmap. AI and Machine Learning Interest: Passion to stay at the cutting edge of AI and ML advancements in SAP, and leveraging these technologies to drive automation, optimise processes, and deliver intelligent analytics that enhance business performance. Your security clearance To be More ❯

of the SAP DTS Capability. As part of the role, you will have access to enhance your consulting, functional and technical skills, through Capgemini learning and development, and the latest industry recognised certifications. Your role Analyse and assess client business processes and requirements to design SAP MM/WM … of the latest SAP capabilities and roadmap. AI and Machine Learning Interest: Passion to stay at the cutting edge of AI and ML advancements in SAP, and leveraging these technologies to drive automation, optimise processes, and deliver intelligent analytics that enhance business performance. Your security clearance To be More ❯

growth. Develop strategies leveraging data science for decision-making in investment, trading, and other quantitative domains, aligning with clients' business goals. Utilize advanced analytics, machine learning, and predictive modeling to interpret market signals and forecast trends, providing clients with a competitive edge. Strengthen client relationships to sustain Accenture … s profile as a trusted advisor and partner. Support and mentor junior team members, fostering continuous learning and innovation. Travel: As needed, up to 100% Qualifications: You have had exposure to one or more of the following industries: energy, chemicals, soft commodities, agriculture, metals, mining, utilities, transportation, consumer goods … parts and constructing clear reasoning and analyses, using quantitative analysis methods, statistics & data-driven thinking. You have energy and drive, a passion for continuous learning and mastering new topics, and an understanding of how forces like digital and the energy transition will shape the future business landscape. You are More ❯

a global marketing and customer experience company. You’ll work across a variety of data science challenges — from prototyping ideas to deploying full-scale ML solutions — in a fast-paced, collaborative environment. This role is ideal for someone with strong technical foundations and a generalist mindset, looking to grow quickly … and make a tangible impact across major client projects. THE ROLE As a Data Scientist, you will: Build and deploy machine learning solutions end-to-end, from SQL-based feature engineering to model development in Python and cloud deployment (AWS) Prototype and test new ideas that solve real … everything you do YOUR SKILLS AND EXPERIENCE Must-Have: Degree in a STEM field or equivalent hands-on experience 1–4 years’ experience delivering ML solutions in production, ideally in fast-moving teams or startups Strong Python and SQL skills; experience building and deploying models end-to-end Familiarity with More ❯

design and implement robust, scalable systems that process and serve data at scale. Whether it's streaming real-time content signals, building APIs for ML models, or managing large-scale distributed data stores, your work will directly impact the consumer experience on Yelp This opportunity requires you to be located … those who simply check off all the boxes. What you'll do: Design, build, and maintain scalable backend systems and data pipelines that support ML-powered features across Yelp's consumer app. Collaborate with ML engineers to integrate LLM-based models and content embeddings into production services. Work with large … like Spark. Solid understanding of API design, service-oriented architecture, and production system reliability. A collaborative mindset and the ability to work closely with ML engineers and cross-functional partners. Curiosity and initiative to explore new technologies and drive impactful solutions. What you'll get: Full responsibility for projects from More ❯

of machine learning and relevant frameworks as PyTorch and/or Tensorflow A strong research focus with first author publications in reputable ML/AI conferences/journals PhD student or graduate in either computer science/engineering ML/AI, statistics, maths, or similar Excellent Python and More ❯