Mathematics, Computer Science or Engineering). At least 1 - 2 years of experience in quantitative analytics or data modelling. Deep understanding of predictive modelling, machinelearning, clustering and classification techniques. Fluency in a programming language (Python, C, C++, Java, SQL). Familiarity with Big Data frameworks and visualization More ❯
and processing from heterogeneous sources; familiarity with tools like Apache Spark or Hadoop. Proficiency with cloud platforms (AWS, GCP, Azure). Familiarity with major machinelearning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). *NGS and RNA experience is not strong enough, Python, Physics and Protein dynamics/structures More ❯
with bold investments in modern technology. With a strong in-house development culture and agile delivery mindset, the business is pushing boundaries in AI, machinelearning, and high-performance, low-latency trading infrastructure. The 300-person technology team operates in a Scrumban framework and covers Cloud, DevOps, Cybersecurity More ❯
london (city of london), south east england, United Kingdom
Harrington Starr
with bold investments in modern technology. With a strong in-house development culture and agile delivery mindset, the business is pushing boundaries in AI, machinelearning, and high-performance, low-latency trading infrastructure. The 300-person technology team operates in a Scrumban framework and covers Cloud, DevOps, Cybersecurity More ❯
and concepts. Ability to approach problem-solving in a practical and innovative manner. Strong computer skills in MS Office suite (skills in programming and machinelearning are highly beneficial). Demonstrable coding skills in e.g. Python, SQL, R. Experience of Geospatial mapping software e.g. ArcGIS/Mapping Tools. More ❯
development, verification testing and deployment Full right to work in the UK Person Specifications Desirable: Experience in Azure or equivalent cloud platform Knowledge of machinelearning and AI Python, Java, development, verification testing and deployment Knowledge of multiple front-end languages and libraries, and UI/UX design More ❯
Kensington and Chelsea, Greater London, Colville, United Kingdom
NuTissu ltd
development, verification testing and deployment Full right to work in the UK Person Specifications Desirable: Experience in Azure or equivalent cloud platform Knowledge of machinelearning and AI Python, Java, development, verification testing and deployment Knowledge of multiple front-end languages and libraries, and UI/UX design More ❯
which to use and which not to use. Use data mining and model building to create solutions for growing analytical needs. Drive projects on machinelearning, data automation, governance, and standardization. Develop innovative BI and data analytics solutions leveraging generative AI (AWS Bedrock) to build intelligent knowledge bases More ❯
world's largest and most complex data environments. You will be part of a team that will work with the marketing, retail, finance, analytics, machinelearning, and technology teams to provide real-time data processing solutions that give Amazon leadership, marketers, and PMs timely, flexible, and structured access More ❯
expects more from their career. It's a chance to apply your expertise to distil complex problems into compelling insights using the best of machinelearning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you'll investigate, develop, implement More ❯
understanding of a wide variety of analytical processes (governance, measurement, etc.). Experience with agile software development. A solid understanding of key trends including machinelearning and artificial intelligence. General business skills: Analytical mind with a problem-solving aptitude expressed with clear, concise written, verbal and presentation skills. More ❯
partners with precision, ensuring excellence at every level of service. Stay Ahead of the Curve: Tap into the latest trends in analytics, AI, and machinelearning - and bring the future into today’s roadmap. What You Bring to the Table Education or Experience That Counts: A degree in More ❯
partners with precision, ensuring excellence at every level of service. Stay Ahead of the Curve: Tap into the latest trends in analytics, AI, and machinelearning - and bring the future into today’s roadmap. What You Bring to the Table Education or Experience That Counts: A degree in More ❯
Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Experience with data analytics and business intelligence tools. Knowledge of machinelearning and AI applications in pharmaceutical sales. Familiarity with regulatory requirements in multiple pharmaceutical markets. Experience with pharmaceutical sales. If you're passionate More ❯
projects dealing with different teams and stakeholders PREFERRED QUALIFICATIONS Master's degree in Automation Engineering, Mechatronics Engineering, Electrical Engineering, or equivalent Experience building with Machinelearning, IoT, AI platforms Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. More ❯
and wider organisation. Supporting the user acceptance testing process to make sure that implementation meets the needs of the customers. Collaborating with data scientists, machinelearning engineers, and AI specialists to define AI-driven solutions that align with business needs. Gathering and analysing requirements for AI-powered features More ❯
experience and UX journey mapping methodologies. Previous experience applying AI within a B2B media environment would be highly prized. Therefore, knowledge of programming languages, machinelearning, LLMs, and data science are all desirable. Experience Required At least five years of product marketing experience in a position involving direct More ❯
experience and UX journey mapping methodologies. Previous experience applying AI within a B2B media environment would be highly prized. Therefore, knowledge of programming languages, machinelearning, LLMs, and data science are all desirable. Experience Required At least five years of product marketing experience in a position involving direct More ❯
applications that integrate with data workflows. Understanding of Microsoft Co-Pilot and AI-driven analytics for enhancing data insights and decision-making. Exposure to machinelearning or advanced analytics techniques is a plus. Why Join Us? Be part of a forward-thinking team, helping to build the culture More ❯
Fluent in French and English speaking - is a requirement. Experience, technical customer-facing and with a background in Data Science/Generative AI/MachineLearning/Data Warehousing or Data Engineering. The customer base accounts will be within the Retail industry sector. Engage customers in technical sales More ❯
datasets to uncover trends and present actionable insights through clear communications Support development teams in building analytics infrastructure for large-scale data analysis and machinelearning deployment Transform data insights into concrete recommendations for business strategy and product development Develop key performance metrics and create business review presentations More ❯
engineering, computer science, physics or a related discipline. Strong quantitative skills and a proven track record of solving complex technical problems using data analysis, machinelearning, and optimization techniques. Hands-on experience with cloud environments (e.g., AWS) for deploying data science models. Proven experience with optimisation using linear More ❯
expects more from their career. It's a chance to apply your expertise to distil complex problems into compelling insights using the best of machinelearning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you'll investigate, develop, implement More ❯
their impact on the Amazon top-line, all the while continuously growing the overall selection. We develop and apply technologies spanning parallel processing, storage, MachineLearning, Natural Language Processing, and Image Recognition. You will be part of Services Support Team under Catalog Support and Programs (CSP) in ASCS More ❯
their impact on the Amazon top-line, all the while continuously growing the overall selection. We develop and apply technologies spanning parallel processing, storage, MachineLearning, Natural Language Processing, and Image Recognition. You will be part of Services Support Team under Catalog Support and Programs (CSP) in ASCS More ❯