76 to 100 of 229 Machine Learning Jobs in the City of London

Lecturer/Senior Lecturer (Assistant/Associate Professor) Positions at Imperial College London in Artificial Intelligence/Machine Learning/Data Science/Digital Technologies Jan 5, 2022 With first deadline on the 17th of January and final deadline on the 28th of February, Imperial College London invites … part of the College’s flagship I-X initiative, which is a new collaborative environment for research, education, and entrepreneurship across artificial intelligence, machine learning, data science, statistics, and digital technologies. The goal of I-X is to realise new models for research, education, and entrepreneurship that ...

regulatory compliance. Support GDPR compliance activities, including Data Protection Impact Assessments (DPIAs) and governance of data used within our data estate, and AI and machine learning solutions. Act as the primary point of contact for data-related regulatory and governance matters. Define policies and standards for third-party … highly regulated sectors. Understanding of Responsible AI principles, AI governance frameworks and the risks associated with AI-enabled solutions. Experience supporting governance requirements for machine learning and advanced analytics initiatives. Knowledge of SRA data handling obligations, and insurer/corporate client data-sharing requirements are desirable ...

where integrity guides decisions, relentless service sets the bar, and we thrive on big challenges together. We invest in your growth with enterprise-wide learning and mobility. We celebrate who you are, and we respect life beyond work with flexibility that's recognized externally. Enabled by modern platforms … data mining capabilities Personally manage client projects when required Provide mentorship and continuous personal development to team members Implement new software (including AI & machine learning tools) as defined by leadership Complete other special transformative projects as defined by leadership Participate in ongoing professional development Job Requirements Candidates must ...

source models. Make strategic decisions on when to build custom models from scratch versus fine-tuning existing foundational models. Cross-functional collaboration: Partner with ML Engineers, Backend Developers, and Product Managers to integrate models into user-facing applications with stringent latency and throughput requirements. Mentorship: Guide and mentor junior data … processing and text normalisation. Programming and frameworks: Expert-level proficiency in Python and PyTorch. Preferred Qualifications Experience deploying models on edge devices or optimising ML models for low-compute environments. Published research in tier-1 conferences such as ACL, Interspeech, ICASSP, or NeurIPS. Experience with multimodal model architectures, including audio ...

break down complex problems into manageable steps. Eagerness to Learn: A genuine passion for technology and a proactive attitude towards self-development and learning new skills, as demonstrated through projects or coursework. Communication & Collaboration: Strong verbal and written communication skills, with the ability to work effectively in a team … Cloud and MLOps Exposure: Basic familiarity with a cloud platform (AWS, GCP, or Azure) and an awareness of concepts like containerization (Docker). Core ML Knowledge: A good grasp of fundamental machine learning concepts, including supervised/unsupervised learning, model evaluation techniques, and feature engineering. Advanced Education ...

year to support your professional development as a sports quant analyst: conferences, courses, meet-ups, networking events; in-person or remotely; on sports, statistics, machine learning, gambling, etc. Skills & Experience Required Technical MSc in Statisticsor a related field (e.g., Data Science or Mathematics)with 3+ years of relevant …/or knowledge of Bayesian models, state space models, filtering and smoothing, computationalstatisticsand approximate inference methods. Experience with and/or knowledge of machine and statistical learning, deep neural networks, feature engineering, reinforcement learning, dynamicoptimisationandoptimalcontrol. Experience with version control, codereviewsand merge requests. Experience with anyadditionalprogramming languages (such ...

Senior Data Modeller , you will play a key role in designing, developing and maintaining enterprise data models that enable analytics, reporting, AI, machine learning and business intelligence initiatives. You will translate complex business requirements into scalable, high-quality data solutions, ensuring data is structured, governed and optimised … succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity ...

Ryan Competitive Compensation and BenefitsBusiness Connectivity Reimbursement (Phone/Internet)Gym Membership or Equipment ReimbursementLinkedIn Learning SubscriptionFlexible Work EnvironmentTuition Reimbursement After One Year of ServiceAccelerated Career PathAward-Winning Culture & Community OutreachThe Full Stack AI Engineer is an early-career software engineering role focused on building and delivering full-stack … tools while maintaining ownership and understanding of the code produced.Education and Experience:Bachelor’s or master’s degree in Computer Science, Engineering, AI/ML, or a related technical field, or equivalent relevant experience.Suitable for recent graduates and candidates with approximately 0-3 years of professional software engineering experience.Strong foundation ...

strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Get to know us at genpact.com … Business Analytics Certified Business Analysis Professional (CBAP) - Upgrad, Microsoft Certified: Power BI Data Analyst Associate - Microsoft, PRINCE2 Practitioner - PeopleCraft, Project Management Professional (PMP) - Virtual Learning Academy (VLA), Tableau Desktop Specialist - Edureka Required Skills Automation Technology, Automation Technology, Big Data, Business Intelligence (BI), Clinical Analysis, Cloud Computing, Data Analytics, Databricks ...

performance. Build scalable, high-performance and cost-efficient services. Work with technologies including Python, AWS (EKS, S3, RDS and Terraform), and AI/ML and data-science libraries such as Google ADK, pandas and FAISS. Help develop and evolve AWS platform infrastructure using Terraform, including RDS instances and EKS clusters. ...

Just Eat Takeaway.com in London is seeking a Director of Data Science & Machine Learning to lead … function behind real-time decision systems and network optimisation at marketplace scale. You will manage a global team of 90+ data scientists, OR/ML engineers, and ML engineers, setting agenda and roadmap. Hybrid work: 3 days in London or Amsterdam, 2 days from home, collaborating with product, engineering ...

Technology Graduate Program, you will contribute to meaningful technical work as part of a global team. The program combines structured learning with hands‐on delivery, giving you experience across engineering, data and AI while working with colleagues in London and across TD Securities globally. Application Requirements & Terms of Offer … Cover Letter. Only complete applications will be accepted. How you will contribute: We are looking for technically curious graduates who enjoy solving real problems, learning quickly and working collaboratively. During the programme, you will complete three rotations, giving you experience across different product and functional technology groups such ...

support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. The Core Engineering’s 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities within six business ...

documentation, with the ability to critically review and validate AI-generated output. Experience designing and consuming RESTful APIs, including integrating third-party AI/ML services and APIs. Strong understanding of asynchronous programming, dependency injection, unit testing and modern .NET development practices. Experience with MongoDB, SQL Server, Cosmos ...

London is seeking a Senior Machine Learning Engineer to build production-grade AI agents and scalable ML-powered services. You will design, implement, and monitor agentic systems that automate complex underwriting decisions, collaborating with data scientists and software engineers in a fast-paced Data & AI unit. The role ...

technology into secure, production-ready solutions. This is an opportunity to work directly with clients, translating complex business challenges into applications that combine traditional machine learning, Generative AI and agentic workflows. You’ll work across the full application lifecycle, from early prototypes and MVPs through to testing, deployment ...

experience: 10+ years' experience in data, analytics, AI, or enterprise architecture Strong consulting background delivering technology and AI transformation programmes Deep understanding of AI, machine learning, GenAI, and cloud data platforms Experience with AWS, Azure, or GCP Strong knowledge of data architecture, DevOps, and automation tooling Experience engaging ...

Comfortable working in regulated data environments with sensitive personal and litigation data. Excellent stakeholder management and communication skills. Desirable Experience Exposure to predictive analytics, machine learning operationalisation or AI platforms. Experience working with Dynamics CRM, case management platforms such as VisualFiles, and finance systems such as Elite ...

prompting. An understanding of point in time data is a strong plus Also desirable: experience with vector databases (pgvector, Pinecone, Weaviate, Qdrant or similar); machine learning experience (PyTorch, TensorFlow, XGBoost/LightGBM) for building, maintaining and extending existing models; Bloomberg API integration to Python; data science/statistics ...

advanced analytics solutions into production. Strong Financial Services experience across banking, insurance or capital markets. Technical credibility across data engineering, data platforms, ML or Generative AI. Experience leading and developing high-performing technical/consulting teams. Strong consulting and commercial experience, including business development and selling work. Experience engaging senior ...

step or multi-agent architectures, with the judgement to know when added complexity is worth it. Experience defining or operating release processes for production ML or agent systems — feature management, staged rollouts, and rollback. Excellent Python and SQL, and strong software engineering practice — typing, testing, CI/CD, code review ...

Learning and large language models. Hands on experience across prompt engineering, agent development and evaluation frameworks. Demonstrated proficiency in Python AI/ML frameworks with the ability to write and review production-grade code across the full stack. A proven track record architecting and designing scalable solutions that ...

specific team from the outset, your impact will be felt throughout the business. Expect to: Develop your capability through a blend of structured learning and hands‐on experience Get exposed to real business challenges in real environments Transition from learning to delivery at an unmatched pace Keep … every day Use technology to solve real problems, improve experiences and help the business work better Build your confidence as an engineer while learning how software is designed, developed and delivered at serious scale Support in your corner You’ll get: A learning journey that’s made ...

data,transactional insights & fraud indicators from partnerships Apply traditional model development techniques and approaches (e.g. logistic regression) as well as adopting new AI/ML techniques such as gradient boosting, random forests, clustering, etc. Utilise the latest cloud based technologies and analytical tooling to support test-and-learn champion/… potential impact to our clients (i.e. addressing the "why" behind our decision making) What could set you apart Experience of developing AI/ML based fraud solutions and models Day to day use of G-Suite tooling, GCP and VertexAI Experience of working in a credit reference agency and/ ...

successful data-driven initiatives. Proficiency in SQL for data extraction, manipulation, and analysis. In-depth knowledge of statistical analysis techniques, predictive modelling, and advanced machine learning algorithms. Strong experience with data visualization tools such as Tableau, Power BI, or similar. Experience with data blending, preprocessing, and automation tools … professional and personal success and an environment where you can truly make an impact. Our people are our greatest asset and we believe learning is central to developing talent, nurturing strong leaders, fostering a supportive company culture and ultimately drives our success. About Apex Group We are dedicated ...