576 to 600 of 2,709 Machine Learning Jobs in London

Kubernetes. Develop automated deployment frameworks for cluster provisioning, software installation, and lifecycle management. Partner with enterprise customers to design solutions that meet AI, machine learning, and high-performance computing requirements. Design and support Large Language Model (LLM), Agentic AI, and AI platform deployments from proof-of-concept through … Slurm, PBS, or Bright Cluster Manager. High-performance networking technologies including RDMA and InfiniBand. MPI and distributed file systems. Cloud-native architectures. AI/ML platforms, Large Language Models (LLMs), inference services, and AI infrastructure. Required SkillsCloud & InfrastructureOracle Cloud Infrastructure (OCI) Cloud Architecture Infrastructure as Code (IaC) Terraform Ansible Kubernetes ...

consumer behaviour at scale, enabling Kantar's products to test scenarios and predict outcomes before they happen. What you'll be doingDeveloping and deploying machine‐learning models in production environmentsWorking end‐to‐end across the data science lifecycle: problem definition, modelling, deployment and monitoringAnalysing new and existing data … working as a data scientist on real‐world, production problemsStrong Python skills (or a similar language used in applied data science)Experience with supervised learning and unsupervised techniques such as anomaly detectionExposure to cloud‐based model training, deployment and automationA strong sense of ownership and accountability for data science ...

need to be comfortable working independently and owning the end-to-end process without relying heavily on Data Engineering or a separate ML Engineering function. This means being able to take models from concept through to productionisation and build approaches that are scalable, repeatable and robust . Key skills Strong … commercial Data Science/Machine Learning experience Proven experience building customer churn/propensity models Strong Python and SQL Experience taking ML models into production Ability to design and document modelling approaches from scratch Strong understanding of forecasting and predictive analytics Experience working with subscription, recurring revenue ...

Expert Level proficiency in Python and SQL. Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering). Product Acumen: Demonstrated ability to define, implement, and operationalise crucial product and feature-level metrics from … high-scale technology company, marketplace, e-commerce business, or travel technology organisation. A strong technical background in Product Data Science, Data Science, Experimentation, or Machine Learning before moving into leadership roles. Experience building and scaling experimentation platforms, measurement frameworks, self-service capabilities, or data products. Experience applying ...

clusters and distributed training environments, deploy AI systems and models into production, and build and optimize data pipelines that feed AI and ML workflows. You optimize the computational stack for performance, cost, power, and scalability, monitor AI systems and infrastructure health across both InfraOps and MLOps disciplines, perform AI monitoring … Degree in Computer Science, Computer Engineering, related Engineering field BASIC (REQUIRED) QUALIFICATION Practical experience in coding, building, monitoring, troubleshooting applications of AI/ML models; selecting, designing and infrastructure for deploying and running them on premise or on public cloud. Strong understanding of AI and machine learning ...

manage analytical workstreams, mentor junior colleagues, and engage regularly with stakeholders up to VP level. In this role, you will: Apply advanced statistical and machine learning techniques to supply optimisation challenges, delivering data-driven insights and recommendations that create measurable business impact. Extract, structure, and transform data from … data querying tools such as Presto, Hive, BigQuery, or Hadoop Exposure to Bayesian methods, causal inference, or multi-armed bandit approaches Experience collaborating with Machine Learning Data Science teams to validate and scale models for business impact Familiarity with inclusive data visualisation design principles, including accessible colour selection ...

manage analytical workstreams, mentor junior colleagues, and engage regularly with stakeholders up to VP level. In this role, you will: Apply advanced statistical and machine learning techniques to supply optimisation challenges, delivering data-driven insights and recommendations that create measurable business impact. Extract, structure, and transform data from … data querying tools such as Presto, Hive, BigQuery, or Hadoop Exposure to Bayesian methods, causal inference, or multi-armed bandit approaches Experience collaborating with Machine Learning Data Science teams to validate and scale models for business impact Familiarity with inclusive data visualisation design principles, including accessible colour selection ...

agile development methodologies. Day to day the Data Engineer will: Work alongside the Risk and Analytics team to create and implement machine learning risk models and large scale data projects from inception to productionBuild high quality datasets from raw data using some of the latest tools and technologiesBuild … embed defined data models and data flows to the cloudDrive large batch, streaming and machine learning applications from design to productionContribute to the design, implementation and monitoring of our cloud data platform as well as innovative ways to ingest, process, store and analyse various data sourcesContribute to automation ...

only company pioneering leadership coaching for large enterprises in an AI-first way.Our mission is to transform how the world\'s biggest companies approach learning and development, helping teams work better together throughAI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing. We\'ve been featured inHarvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America.Our clients represent the most diverse and sophisticated enterprise AI implementations globally, includingCoca-Cola, Delta, Nestlé, General Mills, Schneider Electric ...

RoleYou'll lead complex, AI-enabled data and analytics programmes across the financial services sector, combining strategic leadership with deep expertise in applied AI, machine learning and advanced analytics to help clients deliver measurable outcomes at scale. What You'll DoScope, prioritise and shape AI and analytics initiatives … thought leadershipWhat We're Looking ForProven experience leading AI-driven data and analytics programmes within consulting or complex enterprise environmentsStrong expertise across applied AI, machine learning, advanced analytics and their integration into modern data platforms to guide delivery, challenge design decisions and ensure solutions scale in productionKnowledge about ...

Treasury AI Engineering LeadIn this key role, you'll lead the adoption and scaling of Generative AI and advanced machine learning (ML) within Treasury to transform our function into a predictive, real-time, and data-driven business partnerYou'll add real value by building and sharing your technical … wider technical audience informed by sharing your insights into the latest industry trends. In addition, you'll be: Designing and delivering AI and ML solutions for Treasury use cases, such as liquidity forecasting, capital optimisation, and risk managementOverseeing the migration to secure, scalable cloud-based environments, enabling experimentation and prototypingChampioning ...

Junior AI Engineer/Machine Learning Engineer no experience needed From £40,000 - £65,000 *This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back* Train. Certify. Get Hired. AI is expected to generate 170 million jobs … Data+ CompTIA DataAI Practical, real-world project work designed to help you develop hands-on skills Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network and recruitment partners Starting Salaries Upon successful completion of the programme ...

Support training, upskilling and knowledge sharing to build a data-driven culture. Lead & Inspire a High-Performing TeamLead a multidisciplinary team of data scientists, ML engineers, data engineers and analysts. Build a strong, collaborative and innovative team culture focused on delivery and impact. What We're Looking ForExperience & ExpertiseProven experience … learning or data platform teamsTrack record of delivering data and AI initiatives with clear business impactStrong understanding of data platforms, analytics, and ML/AI technologiesExperience operating in complex, matrixed organisationsBusiness & Leadership SkillsStrong commercial acumen and ability to link AI initiatives to business valueExcellent stakeholder management and influencing ...

hands-on experience in one or more of the following areas: backend services, APIs and integrations, full-stack delivery, data pipelines, model-serving or machine learning workflows, or agentic orchestration systems. Strong coding ability in Python plus one complementary engineering surface such as TypeScript or JavaScript, front … including experience with several of the following: authentication, role-based access control (RBAC), observability, security, release discipline, regression testing, or experiment frameworks for AI, machine learning, or agentic workflowsNice-to-haveExperience with tool-using systems, retrieval, evaluation pipelines, agent orchestration, or MCP-style integrations. Experience building expert-facing ...

collaborative team working on cutting-edge AI initiatives with clear business impact. The Role and Deliverables Design, develop, and deploy AI applications and machine learning solutions. Build and maintain scalable AI pipelines and production-ready systems. Develop solutions leveraging Large Language Models (LLMs) and generative AI technologies. Collaborate … applications. Support the development of AI engineering best practices and deployment processes. Your Skills & Experience Strong experience developing and deploying AI or machine learning applications. Advanced Python development skills. Experience working with LLMs, generative AI frameworks, and prompt engineering. Knowledge of cloud platforms such as AWS, Azure ...

cutting-edge AI-driven Transaction Monitoring solution. This is a hands-on SME role for someone with experience training, tuning, validating, and improving machine learning models in production environments. You'll act as the bridge between AML Operations, Model Risk, Compliance, and Engineering teams, helping drive the transition … Financial Crime, or Fraud Analytics. Demonstrable experience running backtesting exercises and measuring model performance. Strong technical capability with Python, SQL, BigQuery, and cloud-based ML environments. Ability to translate complex technical concepts into clear business language and educate stakeholders. Proven experience working across business, risk, and technology functions to deliver ...

economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic's internal business and product decisions. … Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning Demonstrated experience working in and relevant relationships across the region Experience relevant to the study of AI’s impact on the economy ...

certifications and work closely with AWS technical teams Technical focus You will bring experience across several of the following areas: Generative AI and machine learning, including Bedrock and SageMaker Data and analytics, including Amazon Marketing Cloud and Clean Rooms Customer experience platforms such as Personalize and Connect Modern … support of account teams. Hands‐on AWS delivery experience, with at least AWS Certified Solutions Architect Associate level certification. Strong data, AI/ML and analytics expertise, with practical experience designing or delivering data platforms, analytics pipelines and ML/GenAI workloads on AWS. Credible as a client and partner ...

insight for fraud prevention and underwriting decisions. You will engage in feature engineering across incoming and outgoing cash flows to model affordability, and develop machine learning models that estimate probability of default and produce fraud scorecards. You will own the full lifecycle of these models, from raw data … will partner closely with the Credit Modeling and Fraud teams to align on shared goals and infrastructure. Who you are Experience building and deploying machine learning models end to end, from raw data to production Strong feature engineering skills, ideally with transactional or financial data Proficient in Python ...

medicine, digital health technologies, and AI-driven clinical innovation. The successful candidate will contribute to cutting-edge research at the intersection of digital pathology, machine learning, and computational biomedical sciences. The role involves developing and applying advanced artificial intelligence methods to digital pathology data, including whole-slide imaging … interdisciplinary research collaboration, particularly with clinical or biomedical partners Ability to contribute to research strategy and funding applications Required Expertise/Skills Expertise in machine learning and artificial intelligence methodologies Strong background in digital pathology, medical imaging, or computational image analysis Proficiency in programming languages such as Python ...

sectors and specialist areas. Depending on your background and experience, you could take on the role of: BI Developer Data Engineer Data Scientist Machine learning Engineer Robotic Process Automation Consultant Whatever your experience, we can help you progress from where you left off, whether at mid, senior … level. Within the FDM Skills Lab you’ll receive upskilling in: Business intelligence and advanced analytics Diverse data modelling, engineering and warehousing Automation and machine learning Modern data platforms and tools used to forecast, analyse and unlock business value This structured learning is designed to complement your ...

hands-on role within our team. You'll play a vital part in building the future of our cloud-first and machine learning strategies, writing the core software and automation that drives them. In this role, you will be actively developing high-availability automation workflows and building resilient … evolution of our cloud infrastructure by designing and implementing automation solutions that scale across the organisation. Your work will span cloud-native practices, machine learning infrastructure, and intelligent systems that keep our environment secure, resilient, and cost-effective. What you'll do: Build highly available automation workflows ...

/continuous delivery, application resiliency, and security practicesDemonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence/machine learning, or mobile)Working knowledge of the Software Development Life CycleHands-on experience using enterprise-authorized AI-assisted software development tools within … expectationsPreferred qualifications, capabilities, and skillsFamiliarity with Python for backend services or toolingExposure to cloud technologies and infrastructure-as-code practicesExperience with artificial intelligence or machine learning concepts and tooling relevant to infrastructure and operations use casesJ.P. Morgan is a global leader in financial services, providing strategic advice ...

proposing fixes. Apply optimisation techniques (e.g., quantisation and distillation where beneficial), understanding trade-offs and when methods are appropriate. Collaborate cross-functionally with adjacent ML and performance engineering teams to hand off models, define bottlenecks, and align on optimisation priorities. Communicate clearly with stakeholders to align on delivery timelines, trade … skills. DesirableExperience working on models that must meet tight latency/efficiency constraints (edge, embedded, real-time, or similarly constrained production settings).Exposure to ML systems spanning training evaluation deployment handoff (even if you're not writing kernels day-to-day).Exposure to embedded or edge deployment of ML models ...

continuous delivery, application resiliency, and security practices Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence/machine learning, or mobile) Working knowledge of the Software Development Life Cycle Hands-on experience using enterprise-authorized AI-assisted software development tools within … skills Familiarity with Python for backend services or tooling Exposure to cloud technologies and infrastructure-as-code practices Experience with artificial intelligence or machine learning concepts and tooling relevant to infrastructure and operations use cases ABOUT US J.P. Morgan is a global leader in financial services, providing strategic ...