626 to 650 of 2,710 Machine Learning Jobs in London

Inside IR35 Strong Java and Python development skills in mission-critical applications required. Proven experience building AI-based solutions in enterprise environments, including both machine learning and generative AI use cases, is highly desirable. Strong understanding of how AI can be applied to accelerate software development processes … technical support aligned to business priorities. A core focus of the role is to design, build and deliver enterprise-grade AI solutions, including machine learning and generative AI capabilities, that solve meaningful business problems and accelerate innovation. Identifies, prototypes and deploys AI-enabled solutions aligned to business needs ...

operational objectives. The Director will bring deep expertise in SAP data and analytics technologies, enterprise data management, cloud platforms, reporting architecture, AI/ML enablement, and digital innovation while driving standardization, governance, and business value realization. This position reports to the Senior Director, ERP Technology & Operations. Key Responsibilities Enterprise Data … requirements. Collaborate with Cyber Security and Enterprise Architecture teams to implement secure and compliant solutions. Innovation, AI & Continuous Improvement Identify opportunities to leverage AI, machine learning, intelligent automation, and advanced analytics. Drive innovation programs utilizing SAP Joule, Business AI, predictive analytics, and generative AI technologies. Foster a culture ...

success and health of our games. We collaborate as a distributed team to develop innovative data pipelines, data products, data models, reports, analyses, and machine learning applications. The Data Design function within Analytics partners closely with game development, analytics engineering, and data science teams to design telemetry that … documentation that can be implemented by development teams. Review proposed telemetry designs for completeness, quality, consistency, and suitability for downstream modelling, reporting, experimentation, and machine learning use cases. Collaborate with analytics engineers to ensure telemetry is structured to reduce transformation complexity and improve reliability of curated data products. ...

fast growth trajectory. Tech we use at present: Google Cloud Platform, managed with Terraform; Elixir for APIs, storage, and external integration; Python for the Machine Learning pipelines; Reason React and GraphQL for the frontend web app. Your responsibilities: Build APIs to serve our user-facing web applications. Model … interested in gaining full-stack skills. Why Programmai? Work with highly talented, passionate people and have fun along the way. We’re all learning what it takes for a startup to reach unicorn status. There are no layers of bureaucracy to jump through. Put forward a radical suggestion ...

data analysis and modelling tools such as Python, R, SQL, MATLAB, Power BI, Tableau or equivalent platforms. Experience developing or utilising data-driven models, machine learning tools, digital twins, predictive maintenance applications or engineering analytics solutions. Ability to interrogate, manipulate and interpret large operational and engineering datasets … ammonia, carbon capture, sustainable chemicals or energy transition projects. Experience developing AI-enabled engineering or risk management solutions, including the use of generative AI, machine learning or advanced analytics within industrial environments. Second language, particularly Arabic, German, Spanish, Mandarin or French. Business development, client relationship management or market ...

proposals and helping secure new business opportunities. Experience designing and delivering AI solutions within complex enterprise environments. Strong knowledge of Artificial Intelligence technologies, including Machine Learning, Generative AI, AI Agents, AWS AI and Azure AI. Experience developing AI-enhanced digital assistant solutions such as Microsoft Copilot. Practical experience … with Retrieval-Augmented Generation (RAG) architectures and Machine Learning Operations (MLOps). Strong stakeholder engagement skills, with the ability to communicate technical solutions clearly to both technical and non-technical audiences. It would be great if you had: Experience working across multi-cloud environments, including AWS, Azure ...

Integrating our high‐ and low‐frequency systems for more optimal trading Re‐architecting systems to provide a seamless path from research to production for machine‐learning models Enabling large‐scale distributed training of machine‐learning models Contributing back to open‐source projects Ideal Candidate Deliver high ...

beneath enterprise performance management. You'll shape how EPM platforms stitch together with the modern data platforms finance now runs on, and how machine learning and generative AI make planning and forecasting sharper, faster and more trusted. You'll build real credibility across both finance planning … including predictive forecasting and generative or agentic use cases; familiarity with SQL, APIs and modern data-integration technologies, and some exposure to Python or ML platforms (deep engineering isn't required); relevant EPM, cloud-data or AI certifications; and a professional finance or accounting qualification (ACA, ACCA, CIMA or equivalent ...

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 … 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 ...

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 ...

fast-paced, high- performance, highly collaborative environment and demonstrate an ability to execute precisely and quickly. Candidates should possess technical fluency in AI, machine learning, operations research, physics, math, engineering, data integration, or computer science. Responsibilities: Develop and execute a comprehensive sales strategy to drive revenue growth within … engineering, science, computer science, or related technical field of study. Master’s or MBA degree preferred. Experience with and understanding of AI and Machine Learning is highly favorable. Exemplary written and oral communication skills. Excellent interpersonal, planning, and organisational skills. Strong analytical skills. Sales consulting or management consulting ...

fast-paced, high- performance, highly collaborative environment and demonstrate an ability to execute precisely and quickly. Candidates should possess technical fluency in AI, machine learning, operations research, physics, math, engineering, data integration, or computer science. Responsibilities: Develop and execute a comprehensive sales strategy to drive revenue growth within … engineering, science, computer science, or related technical field of study. Master's or MBA degree preferred. Experience with and understanding of AI and Machine Learning is highly favorable. Exemplary written and oral communication skills. Excellent interpersonal, planning, and organizational skills. Strong analytical skills. Sales consulting or management consulting ...

Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform (GCP). By partnering with us, clients future-proof their operations, unlock actionable insights, and stay … Engineering, Data Science, Product, C-Suite).Value-Driven Commercial Leader: A track record of identifying business pain points and translating complex technical solutions (e.g., ML platforms, GenAI strategy, Big Data architecture) into clear, compelling business outcomes and financial justifications. Consultative Approach: Exceptional 'listen-first' skills, with the ability to lead ...

Data, Analytics and AI organisation of Arrive. The Data Science Products team ingests billions of complex sensor data points daily to produce advanced machine learning products that help millions of drivers park or charge electric vehicles. For example, we predict the availability of parking in cities across … services with high confidence and zero downtime. Advance Data Capabilities : Lead the hands-on development of platform enhancements, such as establishing feature stores for machine learning and building automated data monitoring systems to ensure data integrity and model reproducibility. Scale AI Practices : Lead the adoption of AI throughout ...

development and Postgres databases. Experience with front-end development (Typescript/React). Extremely clear writer and communicator. Nice to have: Publications at top machine learning conferences (e.g. NeurIPS, ICLR, ICML) or in adjacent fields. What we offer Competitive base salary depending on skill and experience. Significant equity … Executive Officer and co-founder): Chris did his undergrad at Imperial College London, his masters at the University of Cambridge, and his PhD in machine learning at UCL, during which he published 10+ papers and won awards at top AI conferences and journals. Prior to founding Solve, Chris ...

part of a pioneering Analytics Team dedicated to enhancing processes and systems. This role offers exposure to extensive data projects encompassing data analytics, programming, machine learning and Research and Development, giving you a chance to take a senior role and lead several high profile projects. Collaborating across SCOR … knowledge or experience of coding Python and/or R or the desire to learn coding. Desirable: Interest or knowledge of data science and machine learning technique Some Actuarial training (actuarial trainees or those who have given up exams will both be considered)Pricing experience with Knowledge ...

specialists, software engineers, data scientists and technology professionals. You will support the design and development of AI solutions while gaining practical experience across AI, machine learning, cloud technologies and telecommunications. A structured training and induction programme will be provided to support your technical and professional development. Key Responsibilities … development of AI solutions Assist with integrating AI into telecommunications systems and platforms Work alongside software engineers, data scientists and network specialists Support machine learning and data focused projects Assist with AI driven network optimisation and automation Contribute to cloud based AI and data projects Support the testing ...

hybrid cloud transformation solutions. Responsibilities: Design, architect and lead the delivery of AI-ready infrastructure platforms that enable large-scale machine learning (ML), generative AI (GenAI), agentic AI and high-performance computing (HPC) workloads. The successful candidate will be responsible for defining AI compute architectures across on-premises ...

machine learning, or advanced data engineering roles. Proven experience designing and implementing production-grade AI systems. Deep understanding of AI/ML technologies, data platforms, and modern software architecture. Experience with cloud-based AI platforms and data ecosystems. Ability to lead technical teams and guide complex AI implementations. … Strong communication skills and the ability to explain technical concepts clearly. Key Competencies AI and machine learning architecture Data platform architecture MLOps and model lifecycle management System integration and scalability Technical leadership Cross-functional collaboration #J-18808-Ljbffr ...

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques … real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts ...

seeking a skilled and motivated Computer Vision Engineer to join our team. In this role, you will bridge the gap between high-level machine learning research and high-performance production environments. You will be responsible for building robust SDKs, automating deployment pipelines, and ensuring our models run efficiently … performance software development kits (SDKs) to expose computer vision capabilities to end-users and internal products. Model Deployment and Integration Port, convert, and deploy machine learning models across various hardware targets, including Qualcomm SoCs, Intel CPUs, and NVIDIA GPUs. Performance OptimizationUse hardware-specific toolkits to optimize model throughput ...

seeking a skilled and motivated Computer Vision Engineer to join our team. In this role, you will bridge the gap between high-level machine learning research and high-performance production environments. You will be responsible for building robust SDKs, automating deployment pipelines, and ensuring our models run efficiently … performance software development kits (SDKs) to expose computer vision capabilities to end-users and internal products. Model Deployment and Integration Port, convert, and deploy machine learning models across various hardware targets, including Qualcomm SoCs, Intel CPUs, and NVIDIA GPUs. Performance Optimization Use hardware-specific toolkits to optimize model ...

independently developing and driving the AI enablement strategy and program roadmap for EMEA — spanning the full breadth of AI including generative AI, agentic AI, machine learning, AI services, and AI-powered sales tools. They will translate rapidly evolving AI capabilities into practical, field-ready enablement programs that move … their leadership teams, serving as their primary enablement business partner Develop and deliver enablement programs across the full AI spectrum — generative AI, agentic AI, machine learning, AI services, and AI-powered sales tools — tailored to the needs of different field roles, segments, and maturity levels Build and maintain ...

Universal Music Group is seeking an AI Engineer in Kings Cross, London to design and implement machine learning solutions. This role focuses on building AI tools for royalty management and artist operations. The ideal candidate will have 5+ years of experience in software engineering, expertise in Python … machine learning libraries, and strong collaboration skills. Benefits include private medical insurance, a pension scheme, and 25 days of annual leave. #J-18808-Ljbffr ...

hallucinations and provide clear, explainable outputs. Partner with data, BI, and technology teams to optimise semantic models for AI readiness. Apply data science, machine learning, NLP, and advanced analytics techniques to enhance insight generation and anomaly detection. Contribute to the organisation's long-term Data & AI strategy, influencing … frameworks for responsible AI adoption. Coach and support analytics teams in developing AI-ready modelling and insight capabilities. About YouStrong experience in Data Science, Machine Learning, Applied Analytics, or a related field. Proven ability to develop strategy and influence senior stakeholders, including executive-level audiences. Hands-on experience ...