651 to 675 of 1,370 Machine Learning Jobs in London

in the office Location: London About our Engineering Team As a business which has AI at its core, we need to have a reliable, scalable and secure real-time ML platform to deliver our product to customers. The Engineering team makes this happen. The team is UK-based, with a significant contingent in London, and is made up of pragmatic … to work across our entire stack building features which deliver AI capabilities to some of the biggest names in the insurance industry. We are developing a modern real-time ML platform using technologies like FastAPI, PyTorch, Ray, k8s (helm + flux), Terraform, Postgres, Flink on AWS, React & Typescript. We operate a fully Python stack except for frontend and infrastructure code. … minutes Building a real-time, configuration-driven platform that seamlessly adapts to diverse customer needs Ensuring autoscaling and cost-efficient model serving in production, with robust support for ML monitoring and experimentation Centralised reporting/metrics for both the business and our customers Powering user experience of internal and external users through agentic workflows Role Summary We are looking for More ❯

Job ID: Evi Technologies Limited AWS Polly is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background to help advance the state of the art in Generative AI for speech synthesis. Polly powers natural-sounding Text-to-Speech (TTS) voices at scale and is evolving into a platform that leverages Large Language Models … you'll work closely with other applied scientists, engineers, and product managers to translate research into customer-facing capabilities. You'll also partner with teams across AWS AI/ML, including those working on Bedrock, Alexa, and Amazon Connect, to ensure Polly's speech technology integrates seamlessly into broader generative AI experiences. As a scientific leader, you will regularly communicate … generative modeling, and who are excited by the challenge of bringing research to production at scale. BASIC QUALIFICATIONS - PhD, or a Master's degree and experience in CS, CE, ML or related field - 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 the More ❯

flow and (c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. Our solutions ensure that information in Amazon's catalog is complete … customers a great shopping experience every time. That's where you can help. We believe in "Work Hard. Have Fun. Make History" value by having a focus on sharing learning experiences from the front line with the development teams. So, the options for people in the team are vast. If you like mastering a domain and going deep, we … general, your family, hobbies etc. We provide trainings to the employees through online learning platforms such as O'reilly and also encourage them to take up AWS/ML certifications. Key job responsibilities We are looking for a sharp, experienced Business Analyst(BA) with a diverse skillset and background. As a BA, you will work directly with our business More ❯

impact challenges, from demand forecasting and energy usage optimisation, to predictive maintenance and sustainability modelling. Collaborating with data engineers, product teams, and energy specialists, you'll design and deploy machine learning models that enable smarter grid management, better customer insight, and greener energy solutions. What's in it for you? Hybrid working model with flexibility to suit your … driven team at the forefront of energy tech Support for continuous learning , certifications, and personal growth Skills and Experience Strong background in Python and SQL , with solid applied ML experience Experience working with time-series data , forecasting, or optimisation models Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) Strong communication skills and ability to collaborate with cross-functional More ❯

around the world to protect millions of customer accounts and billions of transactions annually. Leveraging proven data science, including our proprietary consortium data, our customers use our risk-based, machine learning platform to deliver the highest fraud detection rates, lowest false positive rates, and lowest customer intervention in the industry. We stop fraud, not customers. See what others … results, and takes corrective action when necessary. Technical Proficiency : Possesses a solid understanding of their role and responsibilities, demonstrating competence in performing tasks and utilizing relevant technical skills. Continuous Learning : Takes personal responsibility for learning and development. Recognizes personal strengths and areas for improvement, actively seeks feedback, and embraces opportunities to learn. Effective Communication : Demonstrates strong facilitation and More ❯

teams to local high schools. As a Senior Applied Researcher, your key responsibilities will include: Delivering for customers at scale . You'll build, deploy, monitor and iterate on ML models and systems that scale across 40+ sports and to thousands of simultaneous sports matches. Project leadership . You'll own projects that meet your team's quarterly goals while … location and IMU data, multi-view geometry, multi-object tracking, event detection and/or anomaly detection. System experience . You've built, maintained and monitored complex AI/ML models and systems in production at scale. A proven track record . You know how to focus on products, delivering impactful AI/ML products through close collaboration with partners. … Nice-to-Haves Sports industry experience . If you've used AI/ML in sports to generate data and/or create insights, that's a plus. Wearables and multimodel data . You've developed pipelines that combine wearable data with video. Real-time experience . You know how to work with ML models for real-time and low More ❯

including supporting human annotators and ensuring data quality. Develop and apply statistical methods to evaluate the quality and reliability of datasets. Analyse and assess the generalisability and robustness of ML systems across diverse use cases. Collaborate with teams to improve dataset quality and model performance. Train and fine-tune large language models (LLMs) on distributed training infrastructures. Conduct experiments to … annotators. Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance. Experience analysing datasets with respect to their quality, biases, and suitability for training ML models. Hands-on experience training large language models (LLMs) on distributed training infrastructures. Familiarity with evaluating and improving the generalisability and robustness of ML systems. Proficiency in programming languages such … as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX). Excellent communication skills to collaborate effectively with cross-functional teams and present findings. One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). This is neither an exhaustive nor necessary set of attributes. Even if none of these More ❯

years of professional software engineering (we'll consider much more senior applicants for a VP Engineering track). Are a strong coder in Python. Have deployed generative-AI or ML systems to production and understand evaluation, guard-railing, and monitoring. Have a deep understanding of the core technology behind language models. Having previously conducted and published research on large language … models is an an advantage here A Master's or PhD degree in machine learning is advantageous but not required Can communicate fluently with both technical and non-technical stakeholders and enjoy white-boarding with customers. Are capable of architecting and building complex systems from scratch Are comfortable in fast-paced, dynamic environments Benefits Compensation and Benefits At More ❯

substandard performance. Enhance system and service reporting to understand and communicate user experience with internal and external stakeholders. Keep automation at the forefront of all activities. Implement AI/ML to support service performance monitoring, reporting and root cause analysis. What It Takes : A degree in a quantitative discipline, such as Mathematics, Computer Science or equivalent. Demonstrated experience in data … analysis (2+ years). Excellent verbal and written communication skills. Experience with and understanding of: Version control - Git, GitHub Use of databases - Snowflake, postgresql or mysql Data Science techniques - Machine Learning, Artificial Intelligence, Statistical algorithms Cloud technologies - AWS or GCP What We'd Love: Experience of working across functional teams Masters or PhD in applied data science. Where More ❯

Software Development Engineer- Finance AI and ML Dev, PXT Finance - ML Forecasting and Core Engineering Amazon Finance Tech team leads innovation to combine data-driven finance with the AI approach driving accuracy, next gen forecasting capabilities, speed, efficiency, and reliability by exploring new techniques in ML and GenAI and building full stack services in AWS. This AI-First Finance builders … team will lead AI Application Architecture, designs for predicting outcomes, forecasting values with high degree of automation and ML Ops for existing science pipelines and frameworks. Key job responsibilities As an software engineer on the team, you will own components of an integrated system. You will design and develop these components using AI builder tools, AWS and serverless infrastructure in More ❯

boundaries of innovation. The ideal candidate will bring over years of experience in data science; fluency in data programming languages like Python, R, and SQL; a deep knowledge of machine-learning methodologies; and a successful track record of leading multiple projects and teams. A Master's degree in Data Science and experience with cloud environments such as AWS … coverage (for Spain-based employees), cutting-edge tech, and the chance to be part of an international, supportive community. Bootcamps, knowledge-sharing events, and a strong emphasis on continuous learning are part of the everyday experience. Joining this team means stepping into the future of intelligent decision-making and having a whole lot of fun along the way 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 … to help close agreement. • Operates with significant discretion, taking actions to resolve problems on behalf of their team and/or issues that are impeding the business. Regularly provides learning and expertise that influences broader industry cloud adoption. • Interacts with senior management or executive levels to gain support for items that require escalation while writing convincing and professional documents … in both Mandarin and English at written or verbal format PREFERRED QUALIFICATIONS - Cloud sales experience - Substantial experience working with transformative technology including cloud, IoT, data & analytics, GenAI, AI/ML etc. - Experience influencing key stakeholders at C-level - Proven experience with consistent business growth and quota. - Extensive customer network - Leadership experience Our inclusive culture empowers Amazonians to deliver the best More ❯

Collaborate with cross-functional teams to ensure project milestones are met. Ensure all appropriate reporting is in place. Leverage Microsoft's AI-driven capabilities such asCopilot, Azure AI, and machine learning capabilitiesto enhance customer experience, business processes and decision-making. Collaborate across our business sharing knowledge within the Accenture ecosystem to improve our platform capability and leverage available … and partners to enable delivery of the outstanding services we are known for. Please note that with all our roles, you should expect some in-person time for collaboration, learning and building rapport with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. Accenture is … their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces. Discover where this job fits at Accenture Industry understanding. Deep More ❯

teams, engineering teams, and partner teams and align them with respect to your focus area • Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.) Key job responsibilities 1)To perform Data deep-dives-Working with data derived from various tools involving service operations, Finance and supply chain domains … to deliver actionable insights across the organization. Key Responsibilities: Develop and maintain interactive dashboards using SQL, Excel, and Quicksight Conduct deep-dive analyses using advanced analytical methods (ANOVA, regression, ML techniques) Partner with stakeholders to identify strategic opportunities and deliver data-driven solutions Own and deliver periodic metrics reporting to leadership Execute high-priority, cross-functional projects to improve operational More ❯

us to create language models uniquely suited to capital markets while advancing the state-of-the-art. We are a venture backed company founded by professionals with experience spanning machine learning, trading, and quantitative research. The Role We're looking for a data-savvy software engineer who thrives on solving new and unexpected challenges - building bespoke software, APIs … Understands that solving problems means working across the stack from API development to frontend UIs and infrastructure-as-code Have built real-world systems that expose or depend on ML models, including deployment or inference tooling (e.g. model serving, feature stores) Think in terms of use cases and outcomes, not just infrastructure and moving data Strong software engineering fundamentals, with More ❯

all brands. Vista's end-to-end and click-to-flight solutions offer the industry's only comprehensive flight booking platform, seamlessly integrating global operations, and leveraging AI and machine learning to optimize pricing and fleet movement. Comprised of the Product Management, Engineering, and IT teams, Vista Tech's mission is to enhance transparency and accessibility in private … detailed product requirements and ensure timely and high-quality delivery. Influence cross-functional teams and senior stakeholders to align on priorities and outcomes. Champion a culture of experimentation, continuous learning, and customer obsession. Monitor KPIs and conduct testing to evaluate performance and inform future improvements. Stay up to date on emerging digital technologies and platforms to identify growth opportunities. More ❯

within a sales and transformation context AI Services delivery: contact-centre optimisation, AI driven personalisation, AI assisted marketing intelligence, and AI powered operations Strong technical background in AI technologies, machine learning, and data analytics Exceptional communication and interpersonal skills to engage with clients and stakeholders effectively Understanding of the challenges and opportunities in digital transformation across various industries … to add business value far in excess of the cost of delivery, project after project. We are constantly seeking to hire additional team members who, like us, celebrate continuous learning and who want to work in a high-respect environment to contribute significantly to delivering the change that our clients have come to expect of Digiterre. More ❯

coverage including unit, contract, e2e, and integration. • Version control code with git and build, test and deploy using ci/cd pipelines. • Build and test remotely on your own machine and deploy to low-level environments. • Review team members code, identifying errors and improving performance and readability. Drive code design and process trade-off discussions within team when required. … demands of scale-up stage software engineering. • You have experience optimising solution performance with a constrained set of technologies. • You have experience or are keen to engage with productionising machine learning technologies combined with large scale feature engineering. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the More ❯

our new Superpower as one of only 4 strategic priorities for the Group. Our growing team is modernising our data infrastructure to a cutting-edge cloud platform and enabling machine learning and GenAI. Join us at an exciting time and be part of a team that is driving meaningful change for our customers, colleagues and shareholders. This is … home insurance Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more Company funded life assurance Diverse learning and development opportunities to support you to progress in your career Dedicated Employee Assistance Programme and a 24/7 remote GP service for you and your family Plus 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 … our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and Amaze Connect conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance More ❯

skills Full UK work authorization Desirable Familiarity with cloud data platforms (Snowflake, Redshift, BigQuery) and ETL tools (dbt, Airflow) Experience with loyalty-programme analytics or CRM platforms Knowledge of machine-learning frameworks (scikit-learn, TensorFlow) for customer scoring Technical Toolbox Data & modeling: SQL, Python/R, pandas, scikit-learn Dashboarding: Tableau or Power BI ETL & warehousing: dbt, Airflow More ❯

will be beneficial. Key Responsibilities Develop and maintain scalable, efficient backend systems and APIs for internal and client-facing platforms. Collaborate with data scientists and energy specialists to integrate machine learning models and data processing pipelines into production software. Contribute to tools that support renewable energy optimization, including grid analytics, tariff comparison, and wind farm design automation. Work More ❯

risk and scenario GUI/visualization tools (dashboards). Development of option pricing & volatility models in partnership with the Quant Technology team Handling of large data sets, use of machine learning techniques to enhance traditional risk measures. The role with collaborate with risk managers across asset classes as well as various technology and data teams within the firm More ❯

candidates across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design More ❯

candidates across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design More ❯