226 to 250 of 2,937 Machine Learning Jobs in London

enhance the ClearScore user experience through improved dynamic content targeting and prioritisation, you will take end-to-end ownership of data science and machine learning solutions across a variety of use cases, business areas, and markets. Your contributions will directly support the Global Targeting mission, enabling the organisation … drivers of credit and affordability strategies, as well as familiarity with credit bureau data and its effective utilisation for building predictive ML models A postgraduate degree or equivalent qualification in a STEM field Why ClearScore? ClearScore is the UK's #1 credit score and report app. We are also present ...

customer operations teams. Drive adoption of AI and analytics solutions through effective stakeholder management and communication. Solution Development (40%) Design and develop predictive, machine learning, and Generative AI solutions. Build prototypes, proof-of-concepts, and production-ready analytical models. Perform data exploration, feature engineering, model development, and validation. … governance, and security best practices. Support deployment, monitoring, and continuous improvement of models. Required Experience 10+ years of experience in Data Science, AI, Machine Learning, or Advanced Analytics. Demonstrable experience working within the Insurance industry. Strong understanding of insurance domains such as Claims, Underwriting, Pricing, Risk, Policy Administration ...

offices in Cambridge and London, you’ll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials. The Data Science team at Qureight turns imaging and clinical data into … clinical trials. We combine Qureight’s quantitative CT biomarkers with clinical data from sponsors, CROs and research cohorts, using statistical modelling, longitudinal analysis and machine learning. Our work helps biopharma sponsors choose endpoints that detect change earlier, build external control arms from real-world data, and design smaller ...

optimise scalable data and AI-ready solutions on the Snowflake Data Cloud, helping clients modernise their data platforms and create trusted foundations for analytics, machine learning and emerging AI capabilities. We're looking for practitioners with strong data engineering fundamentals, hands-on Snowflake experience and a passion … recommendations clearly to technical and non-technical audiences. Design and implement robust data models and ETL/ELT patterns that support enterprise reporting, analytics, machine learning and AI use cases. Optimise assigned pipelines and Snowflake workloads for performance, reliability, scalability and cost, escalating engineering risks and implementing agreed ...

Time Analyst in the Data & AI Program at JPMorganChase, you will drive impact by building end-to-end data, analytics, and artificial intelligence and machine learning solutions that translate business objectives into measurable outcomes for clients and customers. Working alongside global experts in collaborative teams, you will design … career in a culture where we value your ideas and help you grow. Job Responsibilities Build intelligent systems that power real business outcomes, from machine learning models to generative artificial intelligence and agent-based solutions. Work hands-on with cutting-edge technologies to design, develop, and deploy artificial ...

secure video record of every procedure; improving training, education, and collaboration. It is an intuitive asset which helps instil a culture of continuous learning, accelerates the adoption of cutting-edge medical devices, and enhances surgical performance across the entire global workforce – improving outcomes and saving lives. Proximie was commercialised … dependable at scale. Using your deep technical expertise and real-world production experience, you will own the platform and the infrastructure that carry our machine learning solutions out of development and into hundreds of live hospitals, and keep them performing once they are there. Our machine learning ...

data and analytics. The Lead Data Scientist will play a key role in shaping and delivering advanced Data Science solutions across the business, using machine learning, statistical modelling and innovative data sources to solve complex commercial and customer problems. In this role, you’ll lead and develop … excellence. Shape and deliver the Data Science strategy within your area, ensuring work is aligned to wider business priorities. Lead the development of advanced machine learning and statistical models to solve complex business problems. Take ownership of Data Science projects from initial concept and experimentation through to production ...

team partners closely with trading, technology, and risk teams to deliver impactful tools and analytics. The team specializes in building models that leverage Machine Learning, Statistics, and Operations Research to solve complex business challenges. As a Vice President in QTR Prime Finance, you will collaborate with senior stakeholders … Document models, methodologies, and processes for transparency and knowledge sharing. Required Qualifications, Capabilities and Skills Advanced degree (Masters or PhD) in Statistics, AI/ML, Computer Science, Operations Research, or related quantitative field. Significant experience in quantitative modelling, analytics, or related roles. Strong background in AI, machine learning ...

insurance. Excited to make an impact? Here are the details What you will do Define model development methodologies and best practices across the entire ML lifecycle Play a central role in selecting and evolving the technological stack Support the productionalization and evolution of the Oracles — entities that leverage machine … with emerging technologies What we’re looking for Core Skills & Experience Strong programming background with deep expertise in Python Experience across the lifecycle of ML model development, including production deployment Proficiency in software development practices such as: TDD BDD Commitment to code quality, readability, and maintainability Extensive experience in software ...

London | £80,000-90,000 This is an opportunity to join a growing digital and analytics consulting team delivering high-impact machine learning and AI solutions for some of the UK's most complex operational challenges. You'll work closely with senior stakeholders, helping organisations move beyond proof … capability continues to expand, they are seeking experienced Data Scientists who can combine technical expertise with strong stakeholder engagement. The Role Design and deliver machine learning, advanced analytics, and AI solutions for a wide range of client challenges Build production-ready data science solutions that create measurable operational ...

lines of business. We are looking for a talented Senior Associate to join our Chief Data & Analytics Office team as an Artificial Intelligence & Machine Learning auditor. This is your opportunity … play a crucial role in enhancing our organization's governance and operational excellence. The Chief Data & Analytics Office governs and enables Firmwide AI/ML capabilities, drives strategy and solutions to maximize the value of data across the firm, as well as designing and delivering enterprise data and analytics capabilities ...

innovative data-driven business that is transforming how risk is assessed and managed within the payments ecosystem. Working at the intersection of Data Science, Machine Learning, and FinTech, you will have the chance to solve complex commercial challenges, influence product development, and help shape cutting-edge risk solutions … ground up. The Company They are a fast-growing technology business focused on helping organisations better understand and manage risk through advanced analytics and machine learning. Their proprietary solutions combine large-scale transactional data with external data sources to deliver actionable insights and predictive risk intelligence. Operating across international ...

focusing on what clients really need and delivering against that every single day. Key Responsibilities Lead the development and deployment of advanced AI and machine learning models to support and enhance our workflows. Collaborate with cross-functional teams to integrate AI technologies with other system components. Ensure … Qualifications Extensive experience with version control tools, preferably Git. Proficiency in Docker and container orchestration. Advanced proficiency in Python and familiarity with AI and machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of algorithms, data structures, and software engineering principles. Experience in deploying AI models ...

Data UK practice, within the AI & Modelling Craft: a community of data scientists, AI engineers, modellers and solution architects focused on applying AI, machine learning and advanced analytics to solve customer and growth challenges. Our teams work across the full lifecycle, from identifying opportunities and designing solutions through … Role As a Lead AI Solution Architect, you will own the end-to-end delivery of customer-focused data and AI solutions, spanning machine learning products, generative AI solutions and agentic AI systems. You will define the target architecture, provide technical leadership to the teams that build ...

Data UK practice, within the AI & Modelling Craft: a community of data scientists, AI engineers, modellers and solution architects focused on applying AI, machine learning and advanced analytics to solve customer and growth challenges. Our teams work across the full lifecycle, from identifying opportunities and designing solutions through … Role As a Lead AI Solution Architect, you will own the end-to-end delivery of customer-focused data and AI solutions, spanning machine learning products, generative AI solutions and agentic AI systems. You will define the target architecture, provide technical leadership to the teams that build ...

relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership … with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from ...

millions of people, every day. About the role As Preply scales its AI-powered learning platform, we’re looking for an experienced Senior ML Platform/Ops Engineer to help productionize machine learning systems with high reliability, performance, and observability. You’ll work at the intersection … ML, data engineering, and cloud infrastructure enabling fast, secure, and reproducible model development from training to deployment. We’ve reached 90%+ adoption of AI coding tools across engineering, and we’re now moving towards more autonomous, AI-Augmented development at scale. At Preply, engineers have direct access ...

diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Responsibilities Lead development of machine learning enablement workflows for Rivian edge AIplatforms. Build and improve front-end compiler and model-ingestion tooling needed to support abroad model … Strong background in model optimization for edge or accelerated inference, includingquantization and performance tuning. Experience building or extending compiler, toolchain, or graph-transformationinfrastructure for ML workloads. Strong understanding of hardware/software co-design for inference acceleration. Experience working with low-power edge platforms, NPUs, custom accelerators, GPUs,or closely ...

Performance & Development and People Analytics, such as follow-up questions inside summaries and smart metrics on the analytics dashboard. You do not need a machine learning background. Most of this work is building well-designed, reliable backend systems, and it is not fundamentally different from building any other … API. What is different is who you build it with and what sits on top: you will work day to day alongside machine learning engineers, and the systems you build are what every agentic experience at Personio will run on. If you are a strong backend engineer ...

delivering value to ourMembersthrough innovative sourcing and data-driven solutions. The Data Scientist will be instrumental in advancingClarusONE’sanalytics capabilities by applying statistical modelling, machine learning, and predictive analytics to complex business problems. This role will drive the development of scalable data science solutions that inform strategic sourcing … analytics into technology platforms and decision-making processes, supporting the long-term vision and goals of the business. Responsibilities Develop and deploy statistical models, machine learning algorithms, and forecasting tools to support strategic sourcing, supplier risk assessment, and market dynamics. Lead exploratory data analysis and hypothesis-driven investigations ...

modelling and retrieval choices, and contributing hands-on where it helps the team most. Define and champion a practical point of view on how ML engineers use AI tools in their day-to-day work, and help the team realise real productivity gains. Partner with product, design, research and other … Staff engineers, and you help experienced people grow their impact. You have a clear, informed point of view on using AI to improve how ML engineers work, and you can inspire a team to adopt it. You think strategically, communicate clearly, and can balance long-term bets with near-term ...

team shares a love of the outdoors and a desire to protect it for future generations. Responsibilities Direct the development and strategy of machine learning enablement workflows for Rivian edge AI platforms. Oversee the roadmap for front-end compiler and model-ingestion tooling to support an expanding model … model optimization for edge or accelerated inference, including quantization and performance tuning. Experience building or extending compiler, toolchain, or graph-transformation infrastructure for ML workloads. Strong understanding of hardware/software co-design for inference acceleration. Experience working with low-power edge platforms, NPUs, custom accelerators, GPUs, or closely related ...

centralized global team responsible for all aspects of workforce data strategy, analytics and reporting, and governance, and includes the development of AI and machine learning based solutions. We have a vision to help make individuals, teams, and businesses at JPMC among the most engaged and productive … people who carry it out. Job responsibilities Act as the hands-on leader of a team that delivers commercial outcomes using AI and machine learning solutions across our people-focused product areas Direct the full research lifecycle, from framing problems and generating hypotheses through experiments, prototypes, and results ...

apply, and the type of support you need to complete the application to adjustments@depop.com. Role: Depop is looking for a talented Staff ML Scientist to join our Ranking ML team in the UK. You will work alongside a cross-functional team of Product Managers, ML Engineers, and fellow ML … partners (product, engineering, data) to define problems, translate them into scalable solutions, and deliver measurable business outcomes. Lead the end-to-end lifecycle of ML projects: from ideation, data acquisition, feature engineering, training, and evaluation to deployment and ongoing iteration. Drive innovation in ranking by researching and integrating emerging ML ...

Technology colleagues to translate ambiguity into rigorous evidence and practical recommendations. Alongside immediate delivery, you will shape the future of analytics by advancing machine learning, AI-enabled analytics and next-generation capabilities such as Commercial Digital Twin. Accountabilities: High-impact advanced analytics delivery: Design and deliver advanced analytics … promotional effectiveness and Digital Twin to influence strategic and operational decisions. Analytical innovation and next-generation capability: Identify opportunities to apply emerging analytical techniques, machine learning and AI to commercial and medical challenges; explore novel data sources, methodologies and technologies that create competitive advantage or improve patient outcomes ...