machine learning - and bring the future into today’s roadmap. What You Bring to the Table Education or Experience That Counts: A degree in ComputerScience, Data Science, or something similar - or equivalent industry mastery. Battle-Tested in the Data Arena: At least 5 years of experience More ❯
machine learning - and bring the future into today’s roadmap. What You Bring to the Table Education or Experience That Counts: A degree in ComputerScience, Data Science, or something similar - or equivalent industry mastery. Battle-Tested in the Data Arena: At least 5 years of experience More ❯
used to improve existing solutions and plan those of our next generation. You are great at and have Degree in Information Technology or Systems, ComputerScience, mathematics, science, or related STEM concentrations. Minimum 2:2 is required. Experience with SQL databases and SQL programming language. Highly analytic More ❯
develop, and deploy AI models and algorithms tailored to client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and pre-processing to prepare datasets for AI model training. Implement AI models into production environments and optimize their performance. … training and support to clients on AI tools, best practices, and deployment strategies. Stay up to date with the latest advancements in AI, data science, and cloud technologies. Skills & Experience Required ✅ Hands-on experience with Generative AI models or large language models (LLMs), including training, fine-tuning, and prompt … with Microsoft Azure ✅ Good knowledge of optimisation techniques and design patterns for large data solutions. ✅ A Bachelor’s or Master’s degree in Data Science, Statistics, ComputerScience (nice to have!) What’s in It for You? 🌟 Flexible remote working, must be UK based. 🌟 Work on cutting More ❯
develop, and deploy AI models and algorithms tailored to client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and pre-processing to prepare datasets for AI model training. Implement AI models into production environments and optimize their performance. … training and support to clients on AI tools, best practices, and deployment strategies. Stay up to date with the latest advancements in AI, data science, and cloud technologies. Skills & Experience Required ✅ Hands-on experience with Generative AI models or large language models (LLMs), including training, fine-tuning, and prompt … with Microsoft Azure ✅ Good knowledge of optimisation techniques and design patterns for large data solutions. ✅ A Bachelor’s or Master’s degree in Data Science, Statistics, ComputerScience (nice to have!) What’s in It for You? 🌟 Flexible remote working, must be UK based. 🌟 Work on cutting More ❯
Experience with computational pathology image analysis tools e.g. Visiopharm, HALO or QuPath is desirable. Do you have a degree or higher qualification in Data Science, Bioinformatics, ComputerScience or a related Life Science field? Are you passionate about bioinformatics and eager to contribute to the advancement More ❯
Experience with computational pathology image analysis tools e.g. Visiopharm, HALO or QuPath is desirable. Do you have a degree or higher qualification in Data Science, Bioinformatics, ComputerScience or a related Life Science field? Are you passionate about bioinformatics and eager to contribute to the advancement More ❯
London, England, United Kingdom Hybrid / WFH Options
MarkJames Search
team in Stratford, London , where you'll play a pivotal role in delivering scalable, production-ready AI/ML solutions. Responsibilities Collaborate across Data Science and DevOps to turn experimental ML models into deployed applications. Package and deploy ML models (including Hugging Face Transformers) as microservices on AWS. Build … build automation pipelines using Jenkins, Maven, and more. Support the full ML lifecycle including monitoring, governance, and reproducibility. Requirements Degree (or equivalent experience) in ComputerScience, Data Science, Mathematics, or a technical field. Proficiency in... More ❯
project goals and timelines. Innovation: utilise modern NLP techniques to improve data understanding and processing while staying updated with the latest developments in data science and engineering. Qualifications: Experience: Minimum of 3 years in developing complex data ingestion pipelines with sophisticated ML components. Experience in the insurance sector is … a plus! Education: Degree in ComputerScience, Data Science, Engineering, or a related field. Technical Skills: - Proficiency in Python, SQL and Pandas - Experience with modern NLP techniques and tools. - Ability to create and manage data quality metrics and dashboards. - Experience working in a multifunctional agile development team. … directly contributing to our ability to manage cyber risk effectively. Innovation: Work with cutting-edge technologies and methodologies in the exciting field of data science and engineering. Growth: Enjoy opportunities for professional development in a supportive and forward-thinking environment. Culture: Be part of a collaborative, innovative team that More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation™
systems in the cloud. A proven track record of mentoring peers and leading by example. Strong communication and stakeholder engagement skills. A degree in ComputerScience, Engineering, Data Science, or a similar field. Tech Stack Highlights Python Java AWS (including Bedrock) Claude Terraform Docker MySQL GitHub & GitHub More ❯
london, south east england, United Kingdom Hybrid / WFH Options
SR2 | Socially Responsible Recruitment | Certified B Corporation™
systems in the cloud. A proven track record of mentoring peers and leading by example. Strong communication and stakeholder engagement skills. A degree in ComputerScience, Engineering, Data Science, or a similar field. Tech Stack Highlights Python Java AWS (including Bedrock) Claude Terraform Docker MySQL GitHub & GitHub More ❯
Experience with software development life cycle (sdlc) and agile/iterative methodologies - Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computerscience - Experience communicating across technical and non-technical audiences - Experience in using Python and hands on experience building models More ❯
customer needs. Collaborate with hardware design teams for performance and scalability. Interact directly with clients. Background and Experience: Bachelor's degree in Electrical Engineering, Computer Engineering, ComputerScience, or a related field with relevant experience. 2+ years in GUI/UX and machine control software development. Proficiency More ❯
with cross-disciplinary teams to ensure models meet scientific goals. Continuously monitor and improve model performance. Requirements: Bachelor’s, Master’s, or PhD in ComputerScience, Data Science, Bioinformatics, or related field. Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience with bioinformatics tools (e.g. More ❯
with cross-disciplinary teams to ensure models meet scientific goals. Continuously monitor and improve model performance. Requirements: Bachelor’s, Master’s, or PhD in ComputerScience, Data Science, Bioinformatics, or related field. Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience with bioinformatics tools (e.g. More ❯
experience in Smart Mobility/Intelligent Transportation Systems (ITS), preferably, holding a Bachelor’s or Master’s degree (BA/MS) in Transportation Engineering, ComputerScience, Data Science, or a related field. Proven experience as a Master System Integrator (MSI) in a major system integration company such More ❯
experience in Smart Mobility/Intelligent Transportation Systems (ITS), preferably, holding a Bachelor’s or Master’s degree (BA/MS) in Transportation Engineering, ComputerScience, Data Science, or a related field. Proven experience as a Master System Integrator (MSI) in a major system integration company such More ❯
shows an appetite for, learning new skills and adopting new analytic methodologies and tools BASIC QUALIFICATIONS Bachelor's degree in business administration, finance, economics, computerscience, data science, engineering, or other related field Ability to translate technical aspects of analysis and metrics into actionable insights for the More ❯
shows an appetite for, learning new skills and adopting new analytic methodologies and tools. BASIC QUALIFICATIONS - Bachelor's degree in business administration, finance, economics, computerscience, data science, engineering, or other related field. - Ability to translate technical aspects of analysis and metrics into actionable insights for the More ❯
Expectations, dbt tests) What will help you on the job • Experience working within an agile team and familiarity with JIRA • Degree in a Data Science or ComputerScience related discipline • Experience with end user data and visualisation tools such as Tableau • Experience working with APIs • Experience working More ❯
Strong communication and presentation skills, with the ability to articulate complex AI and Analytics concepts and solutions to non-technical audiences. Advanced degree in ComputerScience, Data Science, Artificial Intelligence, or a related field is preferred but not essential. Preferred Skills: Experience in developing and implementing AI More ❯
following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, ComputerScience, Actuarial Science) Proven More ❯
Technical Pangaea Data (Pangaea) is a South San Francisco and London based business founded by Dr Vibhor Gupta and Prof Yike Guo (Director Data Science Institute at Imperial College London; Provost, Hong Kong University of Science and Technology). They have worked in medicine and computing for over … engineering technologies and best practices. Mandatory Requirements Technical skills: A university qualification (Bachelors, Masters, Doctorate) with at least two years of university study in ComputerScience, Informatics, Data Science, Engineering, or related fields. Experience in data engineering, with a focus on healthcare data preferred. Familiarity with NoSQL More ❯
verification processes, findings, and best practices Continuously learn and stay abreast of advancements in formal verification and related technologies PREFERRED EXPERIENCE: Good understanding of computer organization/architecture Knowledge of scripting languages such as Python or TCL Internship or project experience in digital design or verification Experience or familiarity … formal tools and/or functional verification tools from Synopsys, Cadence or Mentor Graphics ACADEMIC CREDENTIALS: Bachelor degree required. Master or PhD degree in ComputerScience/Computer Engineering/Electrical Engineering preferred Benefits offered are described: AMD benefits at a glance . AMD does not accept More ❯
of industry & business trends. We are a global team, made up of a diverse set of profiles, skills & backgrounds - including Product Managers, Software Developers, Computer Vision Experts, Solution Architects, Data Scientists, Business Intelligence Engineers, Business Analytics, Risk Managers & more. BASIC QUALIFICATIONS Masters degree in Business, Marketing, Statistics, ComputerScience, Data Science, Mathematics or related field Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability) Experience using very large datasets 3+ years of People management experience PREFERRED QUALIFICATIONS Our inclusive culture empowers Amazonians to deliver the best results for our More ❯
