801 to 825 of 1,658 Machine Learning Jobs in the UK

pipeline logic and contribute to business-wide metadata catalogues Collaborate with BI, Change, and Product teams to align data outputs to needs Support groundwork for future data science and machine learning initiatives The successful applicant will be proficient in SQL and Python, with a proven track record of building and maintaining ETL/ELT pipelines. Experience working with More ❯

teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting The Role We're looking for a hands-on MI Manager to lead the development and delivery of More ❯

transportation. What Makes Us Different: 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. You can inspire change. Collaboration : having flexibility to More ❯

cloud. AWS has been continually expanding its services to support virtually any workload, and it now has more than 240 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, media, and application development, deployment, and management from 105 Availability Zones within 33 geographic regions, with More ❯

immerse yourself in the heart of a technology-driven financial powerhouse, where your technical expertise and collaborative spirit will be highly valued. The organisation stands at the forefront of machine learning and quantitative research, leveraging world-class computational resources and a diverse, inclusive culture that prizes teamwork and mutual respect. As part of a close-knit operations team More ❯

cloud. AWS has been continually expanding its services to support virtually any workload, and it now has more than 240 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, media, and application development, deployment, and management from 105 Availability Zones within 33 geographic regions, with More ❯

become the leading travel platform globally - powering Hopper's mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique More ❯

scalable code in TypeScript Champion DevOps best practices (CI/CD, automation, IaC) Collaborate, challenge, and bring fresh ideas What you'll bring Proven AWS (Lex + AI/ML) experience Strong TypeScript background DevOps mindset (CI/CD, serverless, monitoring) Bonus: contact centre tech experience A chance to work on cutting-edge AI projects with real impact - and extend More ❯

and scaling BI teams. Experience delivering BI strategies and aligning analytics with business KPIs. Background in Azure data platforms. Desirable: Python for automation and analytics. Exposure to AI/ML-driven BI (e.g. natural language querying, automated insights). Experience with CI/CD for BI solutions and version control (Git). Interview Process: Initial screening call. Face-to-face More ❯

and scaling BI teams. Experience delivering BI strategies and aligning analytics with business KPIs. Background in Azure data platforms. Desirable: Python for automation and analytics. Exposure to AI/ML-driven BI (e.g. natural language querying, automated insights). Experience with CI/CD for BI solutions and version control (Git). Interview Process: Initial screening call. Face-to-face More ❯

and scaling BI teams. Experience delivering BI strategies and aligning analytics with business KPIs. Background in Azure data platforms. Desirable: Python for automation and analytics. Exposure to AI/ML-driven BI (e.g. natural language querying, automated insights). Experience with CI/CD for BI solutions and version control (Git). Interview Process: Initial screening call. Face-to-face More ❯

and scaling BI teams. Experience delivering BI strategies and aligning analytics with business KPIs. Background in Azure data platforms. Desirable: Python for automation and analytics. Exposure to AI/ML-driven BI (e.g. natural language querying, automated insights). Experience with CI/CD for BI solutions and version control (Git). Interview Process: Initial screening call. Face-to-face More ❯

and scaling BI teams. Experience delivering BI strategies and aligning analytics with business KPIs. Background in Azure data platforms. Desirable: Python for automation and analytics. Exposure to AI/ML-driven BI (e.g. natural language querying, automated insights). Experience with CI/CD for BI solutions and version control (Git). Interview Process: Initial screening call. Face-to-face More ❯

more programming languages Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Proficiency in software applications and technical processes within a discipline (e.g., cloud, AI, ML, mobile) Knowledge of the financial services industry and IT systems Practical cloud-native experience Preferred qualifications, capabilities, and skills Proficiency with Java (Spring Boot), Kafka, SQL and NoSQL databases Cloud More ❯

with pioneering technology and data science applications. BASIC QUALIFICATIONS 3+ years of building models for business application experience PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of More ❯

warehousing solutions - Snowflake experience would be brilliant Understanding of CI/CD processes for deploying data solutions Some exposure to big data technologies and distributed processing Nice to haves: ML pipeline experience Previous fintech or financial services exposure If you are on the market for a new role and are looking to join a business making real impact, APPLY NOW More ❯

one or more programming languages, with Python required. Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more disciplines (e.g., cloud, AI, ML, mobile). Ability to tackle design and functionality problems independently with little oversight. Experience performing data analytics on AWS platforms. Experience in writing efficient SQLs, implementing complex ETL transformations on More ❯

with pioneering technology and data science applications. BASIC QUALIFICATIONS 3+ years of building models for business application experience PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of More ❯

years in strategy, business analysis, or EA, with 5+ years in finance systems. Proven expertise with finance operating models and KPIs (EBITDA, NPV, DSO). Experience with AI/ML in finance (e.g., anomaly detection, predictive AR). Skills & Tools Deep knowledge of SaaS, PaaS, microservices, data analytics, and EA frameworks. Familiarity with IT governance, DevOps, agile methodologies, and financial More ❯

thinking, analytical, and problem-solving skills. Strong leadership and communication abilities, with experience working in cross-functional teams. Familiarity with agile development methodologies and tools. Experience with AI/ML applications in cardiology or diagnostics. Knowledge of cybersecurity and data privacy regulations in healthcare (e.g., HIPAA, GDPR). Experience working with international teams and global product launches. Attributes: Creative thinker More ❯

working with Linux or Windows-based systems. Awareness of secure coding practices and modern cybersecurity threats. Knowledge of principles used in Agile environments. Desirable exposure Any exposure of AI, ML, Cloud or Virtualisation would be considered a plus. Clearance required You will already hold an acitve eDV security clearance This is an incredible opportunity to be at the forefront of More ❯

thinking, analytical, and problem-solving skills. Strong leadership and communication abilities, with experience working in cross-functional teams. Familiarity with agile development methodologies and tools. Experience with AI/ML applications in cardiology or diagnostics. Knowledge of cybersecurity and data privacy regulations in healthcare (e.g., HIPAA, GDPR). Experience working with international teams and global product launches. Attributes: Creative thinker More ❯

thinking, analytical, and problem-solving skills. Strong leadership and communication abilities, with experience working in cross-functional teams. Familiarity with agile development methodologies and tools. Experience with AI/ML applications in cardiology or diagnostics. Knowledge of cybersecurity and data privacy regulations in healthcare (e.g., HIPAA, GDPR). Experience working with international teams and global product launches. Attributes: Creative thinker More ❯

thinking, analytical, and problem-solving skills. Strong leadership and communication abilities, with experience working in cross-functional teams. Familiarity with agile development methodologies and tools. Experience with AI/ML applications in cardiology or diagnostics. Knowledge of cybersecurity and data privacy regulations in healthcare (e.g., HIPAA, GDPR). Experience working with international teams and global product launches. Attributes: Creative thinker More ❯

thinking, analytical, and problem-solving skills. Strong leadership and communication abilities, with experience working in cross-functional teams. Familiarity with agile development methodologies and tools. Experience with AI/ML applications in cardiology or diagnostics. Knowledge of cybersecurity and data privacy regulations in healthcare (e.g., HIPAA, GDPR). Experience working with international teams and global product launches. Attributes:Creative thinker More ❯