526 to 550 of 2,253 Machine Learning Jobs in London

sets, including data mining, predictive analytics, and data visualization. 2. *Statistical Modeling*: Develop and maintain statistical models, including regression analysis, time series analysis, and machine learning algorithms. 3. *Data Visualization*: Create data visualizations, including reports, dashboards, and interactive visualizations. 4. *STTM*: Develop and maintain STTM solutions, including data … including data mining, predictive analytics, and data visualization. 3. *Statistical Modeling Knowledge*: Strong understanding of statistical modeling, including regression analysis, time series analysis, and machine learning algorithms. 4. *Data Visualization Knowledge*: Strong understanding of data visualization, including reports, dashboards, and interactive visualizations. 5. *Programming Skills*: Proficiency in programming More ❯

related issues Work closely with product and engineering teams to ensure alignment with business and production goals Stay informed about the latest advancements in machine learning, ASR, TTS, and LLM to continuously enhance our technologies Requirements : A degree in Computer Science, Machine Learning, or a related … field, or equivalent industry experience 3+ years of experience working with deep learning and statistical models Strong … knowledge of data quality standards and annotation processes, with the ability to independently evaluate and improve models Proficiency in Python and familiarity with relevant ML frameworks and libraries (e.g., PyTorch) Experience with cloud services such as AWS, GCP, or Azure Excellent verbal and written communication skills, with the ability to More ❯

front-end development with a focus on building data-driven applications. Experience working with ETL platforms Experience with Python and its numerical, data and machine learning libraries Experience of working in an agile software development environment Experience estimating task effort and identifying dependencies Excellent communication skills Experience with … Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire More ❯

Head of AI Strategy. What Makes You a Qualified Candidate Non-negotiable qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proven experience in developing AI solutions and software applications. A proven ability to establish credibility with advanced AI … leaders. Strong programming skills in languages such as Python, Java, or C++. Experience with AI and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. What You'll Bring Preferred qualifications: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with data visualization tools More ❯

in customer experience (if available). Build and evaluate Generative AI solutions and Large Language Models (LLMs) for various use cases. Develop and implement machine learning models, including predictive, forecasting, classification, and deep learning models. Experience in working with various data sets, including transactional/EPOS, digital … social, loyalty etc. Hands-on experience in using programming languages such as Python. Knowledge of cloud platforms and tools for data science and machine learning. Utilize visualization tools such as Power BI or Tableau to present data insights effectively. Collaborate with cross-functional … teams to understand business challenges and create valuable products/solutions. Proven project management experience, including planning, execution, and successful delivery of AI/ML POCs, MVPs and production grade solutions. People management skills, including mentoring, guiding, and developing team members. It Would Be a Bonus If You Have Experience More ❯

opportunity to work with large-scale visual and textual data sets to build impactful user-facing products and features utilizing the latest LLMs and ML models. You will also be responsible for the productionization and deployment building data pipelines or ETLs to create new online and offline data products. Join … us in leveraging machine learning across Yelp to create visual, textual, and multi-modal models to offer new … products based on our unique content. If you are enthusiastic about learning, eager to take on new challenges, and passionate about creating new ML products, we want you on our team! This opportunity requires you to be located in the United Kingdom. We'd love to have you apply More ❯

expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial … us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. We are looking for Senior ML Platform Engineers with strong expertise and passion for building platforms, especially for CI/CD systems for AI Applications. As a Senior ML Platform Engineer … technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source. Join the AI Group as a Senior ML Platform Engineer and you will have the opportunity to: Architect, build, and diagnose multi-tenant AI platform systems Work closely with AI application teams to More ❯

expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial … us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. We are looking for Senior ML Platform Engineers with strong expertise and passion for building platforms, especially for CI/CD systems for AI Applications. As a Senior ML Platform Engineer … technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source. Join the AI Group as a Senior ML Platform Engineer and you will have the opportunity to: Architect, build, and diagnose multi-tenant AI platform systems Work closely with AI application teams to More ❯

receiving huge amounts of data and working out how customers are going to behave. You enjoy problem solving, and will be building gravity or machine learning models, for a variety of clients across wide ranging sectors. You want to be original - you don't want to do the … ideally customer related Coding skills in at least one of Python, R, Scala, C, Java or JS Track record of using data manipulation and machine learning libraries in one or more programming languages. Keen interest in some of the following areas: Big Data Analytics (e.g. Google BigQuery/ More ❯

receiving huge amounts of data and working out how customers are going to behave. You enjoy problem solving, and will be building gravity or machine learning models, for a variety of clients across wide ranging sectors. You want to be original - you don't want to do the … ideally customer related Coding skills in at least one of Python, R, Scala, C, Java or JS Track record of using data manipulation and machine learning libraries in one or more programming languages. Keen interest in some of the following areas: Big Data Analytics (e.g. Google BigQuery/ More ❯

receiving huge amounts of data and working out how customers are going to behave. You enjoy problem solving, and will be building gravity or machine learning models, for a variety of clients across wide ranging sectors. You want to be original - you don't want to do the … ideally customer related. Coding skills in at least one of Python, R, Scala, C, Java or JS. Track record of using data manipulation and machine learning libraries in one or more programming languages. Keen interest in some of the following areas: Big Data Analytics (e.g. Google BigQuery/ More ❯

Telling skills - excellent communication, with senior management exposure. Deep understanding of business drivers/processes and ability to relate segment priorities to associated technology. Learning agility and desire to learn new technology. Strong problem analysis, negotiating and influencing skills. Proven track record to get things done in a matrixed … covering Demand, Supply, R&D, and Commercial. Develop and deliver communication and education plans on analytics data engineering capabilities, standards, and processes. Partner with machine learning engineers, BI, and solutions architects to develop technical architectures for F&N enterprise projects and initiatives. Learn about machine learning … by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. More ❯

will, you also know how to explain things clearly and concisely. You can educate and inspire. You've got a background in data science, machine learning algorithms, and data engineering along with their technologies. You're equally comfortable presenting to clients, providing advice, or building prototypes. You're … science libraries, implements existing data science techniques, or implements novel techniques. Designing, evaluating, and implementing on-premise, cloud-based, and hybrid data science and machine learning techniques and algorithms (including providing relevant review and guidance on testing aspects, identification of risks, and proposing and implementing their mitigations). More ❯

driven decision-making across the organisation. Collaborate with data engineering teams to ensure seamless data integration and high-quality data pipelines. Apply AI and machine learning models to surface predictive insights, detect anomalies, and identify optimisation opportunities within financial and operational datasets. Required Skills and Experience: Minimum of … years’ in BI or FinOps (MI) roles. Advanced expertise in Power BI, including DAX, Power Query (M), and Modelling. Experience using AI/ML tools such as Python, Azure Machine Learning, or AutoML platforms. Strong ability to engage with stakeholders, gathering requirements and translating them into effective technical More ❯

driven decision-making across the organisation. Collaborate with data engineering teams to ensure seamless data integration and high-quality data pipelines. Apply AI and machine learning models to surface predictive insights, detect anomalies, and identify optimisation opportunities within financial and operational datasets. Required Skills and Experience: Minimum of … years’ in BI or FinOps (MI) roles. Advanced expertise in Power BI, including DAX, Power Query (M), and Modelling. Experience using AI/ML tools such as Python, Azure Machine Learning, or AutoML platforms. Strong ability to engage with stakeholders, gathering requirements and translating them into effective technical More ❯

the development of machine learning solutions for the EU Consumer Electronics business. In this role, you will push the boundaries of advanced ML techniques and collaborate closely with product and engineering teams to create innovative buying and forecasting solutions for the business. These new models will primarily benefit … techniques. Partner with cross-functional teams, including product managers and engineers, to identify impactful opportunities and deliver science-driven solutions. Develop and optimize scalable ML solutions, ensuring seamless production integration and measurable impact on business metrics. Continuously enhance model performance through retraining, parameter tuning, and architecture improvements using Amazon's … extensive data resources. Lead initiatives, mentor junior scientists and engineers, and promote the adoption of ML methodologies across teams. Stay abreast of advancements in ML research, contribute to top-tier publications, and actively engage with the scientific community. BASIC QUALIFICATIONS - PhD, or Master's degree and 3+ years of CS More ❯

data. These reveal fresh insights for our clients; helping them to build better products and brands, to deliver effective marketing to consumers. Our software, machine learning and AI are key to how we deliver impact, centred on: Natural Language Processing, GPT & other LLMs : unearthing trends, themes and other … their insights & analytics functions Marketing Data Science & Personalisation : using first party consumer data to understand each client's consumer base, building personalisation and other machine learning models to better engage with and excite consumers Data Engineering & Data Architecture : data engineering across a variety of tools to integrate these … a key part in maintaining our Technology Team's competitive edge. We are looking for a passionate and ambitious data scientist, enthusiastic about continuously learning through exploring and experimenting with trends in data science and NLP, with a keen interest in applying innovative approaches to digital consumer data sources More ❯

for building scalable, efficient software solutions Innovative approach to solving complex technical challenges Strong sense of initiative and product ownership Experience with AI and machine learning integration preferred What's in it for you Cutting-Edge Technology: Work with the latest web and cloud technologies Inclusive Work Culture … emphasizing mutual respect Flexible Working Hours: Arrangements that prioritize productivity and work-life balance Real-World Impact: Develop software that drives technological innovation Continuous Learning: Opportunities for professional development in technical and soft skills Iprova Culture Iprova is a mix of people and backgrounds, from very bright machine learning engineers and invention developers to pragmatic managers. Across this group there is a common thread - a desire to develop software products and services that enable the creation of inventions for the future, with measurable business value to our clients. If you are looking for a company where More ❯

React, Next.js) back-end development (TypeScript, Node.js), cloud providers (AWS, Google Cloud, Azure), databases (SQL and NoSQL), and mobile development (iOS and Android). Machine Learning Experience: Practical experience building machine learning models; familiarity with healthcare data is a bonus. Leadership: Previous experience mentoring or leading More ❯

React, Next.js) back-end development (TypeScript, Node.js), cloud providers (AWS, Google Cloud, Azure), databases (SQL and NoSQL), and mobile development (iOS and Android). Machine Learning Experience: Practical experience building machine learning models; familiarity with healthcare data is a bonus. Leadership: Previous experience mentoring or leading More ❯

The Search Ops team helps Search services in providing a better customer search experience by delivering quality data annotation to help improve AI/ML models driving these services. Our vision is to create business value by delivering high quality data at scale. We look to provide easy and scalable … for our customers by accurately determining labels for products targeted by the search queries received. We collaborate closely with several machine learning (ML) applied science teams that develop and test ML models to improve the quality of semantic matching, ranking, computer vision, image processing, and augmented reality. To … what it takes then this is your chance to work hard, have fun, and make history. Key job responsibilities As a Lead Data Specialist, ML Data Ops, you will be responsible for meeting operational and business goals overlooking about 30-40 associates, having expertise in one or more processes/ More ❯

manufacturing environments globally. As a member of the Machine Learning Acceleration team, you will develop and maintain critical test infrastructure for our ML acceleration hardware, ensuring quality and reliability across our manufacturing operations. You will work on developing at-scale software solutions to manage the manufacturing environments at … ability to debug complex systems. PREFERRED QUALIFICATIONS Experience with cloud services, preferably AWS. Knowledge of hardware testing methodologies and automated test equipment. Familiarity with machine learning concepts and frameworks. Experience working in a manufacturing or hardware development environment. Knowledge of networking protocols and concepts. Experience with data analysis More ❯

is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance … market algorithmic underwriting models and graphs of models at scale. Sample products you might be involved in building include, developer tooling, microservice orchestration systems, ML model serving infrastructure, feature serving and storage infrastructure. Principal Accountabilities: Build robust and scalable software for business critical, web-based applications Design, build, test, document … of software development in the financial markets, Fintech or Insurtech is preferable Experience or interest in building developer tooling, platform engineering, and/or machine learning is desirable Our culture Inclusion & Diversity is at the heart of our business at Ki. We recognise that diversity in age, race More ❯

is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance … market algorithmic underwriting models and graphs of models at scale. Sample products you might be involved in building include, developer tooling, microservice orchestration systems, ML model serving infrastructure, feature serving and storage infrastructure. Principal Accountabilities: Build robust and scalable software for business critical, web-based applications Design, build, test, document … of software development in the financial markets, Fintech or Insurtech is preferable Experience or interest in building developer tooling, platform engineering, and/or machine learning is desirable Our culture Inclusion & Diversity is at the heart of our business at Ki. We recognise that diversity in age, race More ❯

deliver data-driven insights. Design and build scalable data pipelines and ETL processes. Perform data exploration, preprocessing, and feature engineering. Conduct statistical analysis and machine learning model development. Communicate findings and insights to stakeholders through data visualization and reports. Stay current with industry trends and best practices in … Science, Statistics, or a related field (or equivalent experience). Preferred Qualifications: Advanced degree (Master's or Ph.D.) in a relevant field. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Knowledge of data visualization tools (e.g., Tableau, Power BI). Familiarity with version control systems (e.g., Git More ❯