751 to 775 of 2,640 Computer Science Jobs in London

the value of digital consumer data are looking for an AI Engineer to join their team. What will the role be doing? Design and prototype innovative AI and data science solutions using digital consumer data Develop models and tools using Python, NLP, and machine learning frameworks Explore and integrate state-of-the-art AI from providers like OpenAI, Google … scale projects that push technical boundaries Collaborate closely with cross-functional teams across data engineering, strategy, and analytics What we’re looking for Bachelor’s degree or higher in Computer Science, Maths, Statistics, Engineering or similar 3+ years’ experience with Python, including strong code design Proven experience building, optimising and evaluating AI/NLP models Ability to translate More ❯

and grow even further Working heavily with price comparison websites and making sure they are the most competitive on the market right now Requirements: Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proficient in Python (core skill), with strong experience in SQL Strong technical expertise in AI/ML and advanced More ❯

and grow even further Working heavily with price comparison websites and making sure they are the most competitive on the market right now Requirements: Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proficient in Python (core skill), with strong experience in SQL Strong technical expertise in AI/ML and advanced More ❯

Data Scientist to join a leading FMCG Brand, Initial 12 month contract + opportunity to extend long-term. This is an exciting opportunity to join a high-performing Data Science team focused on advancing marketing effectiveness through advanced econometric modelling—including Bayesian Marketing Mix Modelling (MMM), Multi-Touch Attribution (MTA), and data-driven optimization strategies. Key Responsibilities Lead and … SQL and/or Spark. Solid knowledge of applied statistics, modelling techniques, and the mathematical underpinnings of inference and simulation. Familiarity with cloud platforms (Azure preferred) and modern data science toolkits. Advanced degree (MSc or PhD) in Statistics, Data Science, Applied Mathematics, Computer Science, or a related quantitative field. Preferred Attributes Strong foundation in optimization, simulation More ❯

Data Scientist to join a leading FMCG Brand, Initial 12 month contract + opportunity to extend long-term. This is an exciting opportunity to join a high-performing Data Science team focused on advancing marketing effectiveness through advanced econometric modelling—including Bayesian Marketing Mix Modelling (MMM), Multi-Touch Attribution (MTA), and data-driven optimization strategies. Key Responsibilities Lead and … SQL and/or Spark. Solid knowledge of applied statistics, modelling techniques, and the mathematical underpinnings of inference and simulation. Familiarity with cloud platforms (Azure preferred) and modern data science toolkits. Advanced degree (MSc or PhD) in Statistics, Data Science, Applied Mathematics, Computer Science, or a related quantitative field. Preferred Attributes Strong foundation in optimization, simulation More ❯

strong focus on data-driven decision-making, they help brands across entertainment, tech, sports, and consumer goods maximise their marketing impact. You’ll be part of a collaborative Data Science team, working on large-scale datasets, building machine learning models, and delivering actionable insights for high-profile clients. Key Responsibilities Lead the development of solutions for complex client challenges … analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research teams across the UK, US, and India. What We’re Looking For Experience in Data Science, with a proven track record of delivering impactful projects. Strong statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL … to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial but not essential. If this role More ❯

strong focus on data-driven decision-making, they help brands across entertainment, tech, sports, and consumer goods maximise their marketing impact. You’ll be part of a collaborative Data Science team, working on large-scale datasets, building machine learning models, and delivering actionable insights for high-profile clients. Key Responsibilities Lead the development of solutions for complex client challenges … analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research teams across the UK, US, and India. What We’re Looking For Experience in Data Science, with a proven track record of delivering impactful projects. Strong statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL … to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial but not essential. If this role More ❯

Data Scientist to join a leading FMCG Brand, Initial 12 month contract + opportunity to extend long-term. This is an exciting opportunity to join a high-performing Data Science team focused on advancing marketing effectiveness through advanced econometric modelling—including Bayesian Marketing Mix Modelling (MMM), Multi-Touch Attribution (MTA), and data-driven optimization strategies. Key Responsibilities Lead and … SQL and/or Spark. Solid knowledge of applied statistics, modelling techniques, and the mathematical underpinnings of inference and simulation. Familiarity with cloud platforms (Azure preferred) and modern data science toolkits. Advanced degree (MSc or PhD) in Statistics, Data Science, Applied Mathematics, Computer Science, or a related quantitative field. Preferred Attributes Strong foundation in optimization, simulation More ❯

that inform trading strategies. Implement and optimise numerical methods to support robust, scalable model performance in live environments. Collaborate closely with fellow researchers and developers in a fast-paced, science-driven team environment. Continuously innovate and improve modelling approaches to stay competitive in dynamic and data-rich sports markets. Requirements: MSc, PhD Degree in Computer Science, Artificial More ❯

that inform trading strategies. Implement and optimise numerical methods to support robust, scalable model performance in live environments. Collaborate closely with fellow researchers and developers in a fast-paced, science-driven team environment. Continuously innovate and improve modelling approaches to stay competitive in dynamic and data-rich sports markets. Requirements: MSc, PhD Degree in Computer Science, Artificial More ❯

engineers Great Communication skills experience with Python and SQL experience with Kafka Experience with ETL pipelines and integrating data from API A bonus: Master's or Bachelor's in computer science 4x a week in the newly built office based in Camden If you're interested in this position, please apply now! Please note, sponsorship is unavailable for More ❯

product management, an understanding of AI technologies, and a strategic vision for creating innovative solutions. As a Product Manager, you will work cross-functionally with Development teams, design, data science, and marketing teams to deliver cutting-edge AI product that solve real-world problems. Responsibilities Define the Product vision and strategy ensuring alignment with business objectives and market needs. … and AI algorithms into the product. Continuously monitor industry trends, competitor products, and emerging AI technologies to keep the product competitive and innovative. Collaborate with engineering, design, and data science teams to deliver AI product features from ideation to launch. Work with marketing, sales, and customer support teams to ensure successful product launches, adoption, and customer satisfaction. Use quantitative … and qualitative data to inform decisions about product features and prioritize improvements based on customer needs. Education & Experience : Bachelor’s degree in Computer Science, Engineering, Business, or a related field. A Master’s degree or MBA is a plus. Must come from Microsoft centric tech background Microsoft based, Neo4j, vector database, Azure 3+ years of experience in product More ❯

product management, an understanding of AI technologies, and a strategic vision for creating innovative solutions. As a Product Manager, you will work cross-functionally with Development teams, design, data science, and marketing teams to deliver cutting-edge AI product that solve real-world problems. Responsibilities Define the Product vision and strategy ensuring alignment with business objectives and market needs. … and AI algorithms into the product. Continuously monitor industry trends, competitor products, and emerging AI technologies to keep the product competitive and innovative. Collaborate with engineering, design, and data science teams to deliver AI product features from ideation to launch. Work with marketing, sales, and customer support teams to ensure successful product launches, adoption, and customer satisfaction. Use quantitative … and qualitative data to inform decisions about product features and prioritize improvements based on customer needs. Education & Experience : Bachelor’s degree in Computer Science, Engineering, Business, or a related field. A Master’s degree or MBA is a plus. Must come from Microsoft centric tech background Microsoft based, Neo4j, vector database, Azure 3+ years of experience in product More ❯

product management, an understanding of AI technologies, and a strategic vision for creating innovative solutions. As a Product Manager, you will work cross-functionally with Development teams, design, data science, and marketing teams to deliver cutting-edge AI product that solve real-world problems. Responsibilities Define the Product vision and strategy ensuring alignment with business objectives and market needs. … and AI algorithms into the product. Continuously monitor industry trends, competitor products, and emerging AI technologies to keep the product competitive and innovative. Collaborate with engineering, design, and data science teams to deliver AI product features from ideation to launch. Work with marketing, sales, and customer support teams to ensure successful product launches, adoption, and customer satisfaction. Use quantitative … and qualitative data to inform decisions about product features and prioritize improvements based on customer needs. Education & Experience : Bachelor’s degree in Computer Science, Engineering, Business, or a related field. A Master’s degree or MBA is a plus. Must come from Microsoft centric tech background Microsoft based, Neo4j, vector database, Azure 3+ years of experience in product More ❯

experience the joy of working in a team, communicating, and persevering to achieve results. BASIC QUALIFICATIONS Knowledge of SQL. Experience with coding to improve efficiency. Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent. Business level English. PREFERRED QUALIFICATIONS Master's degree or above in computer science, engineering, analytics, mathematics, statistics, IT More ❯

are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - Bachelor of Science in Computer Science, Engineering, Mathematics or equivalent work experience - 5+ years of Software Development or Systems experience, including hands-on development work and object-oriented design. - 3+ … practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. PREFERRED QUALIFICATIONS - Master's degree in Computer Science, Computer Engineering, Electrical Engineering or equivalent. - Strong engineering fundamentals (networking, network services, operating systems) - Leading development life cycle processes and best practices, especially in the areas More ❯

Are you a Mid-Level Java Developer who wants to work with a rapidly scaling Tech business who are solving problems using the latest tools in Machine Learning, Data Science and Automation tools? A mid-level Java Developer is required to join an innovative and rapidly growing scale-up dedicated to optimizing performance for their clients using cutting-edge … automation tools, Data Science and machine learning technologies. Their mission is to revolutionize how businesses operate by delivering high-performance solutions that drive efficiency and effectiveness. We are a dynamic team of passionate professionals who thrive on solving complex challenges and pushing the boundaries of technology. Their core software product enables leading industrial organisations to improve asset reliability and … drives value in maintenance by applying data science and machine learning to reduce cost, minimise waste and increase efficiency. What makes this company special is a unique culture and how they collaborate to solve problems. Job Description: We are seeking a talented and experienced Full-stack Java Developer to join our team. As a Full-stack Java Developer, you More ❯

involves significant interaction with commercial teams. Performance Monitoring : Monitor and analyze product performance, using data-driven insights to improve functionality and user experience. Qualifications Education : Bachelor's degree in Computer Science, or a related field. Experience : 7+ years experience in product management, preferably in a SaaS or software development environment. Experience working in a B2B SaaS MarTech company … vendors and business model) Technical Acumen : Experience with at least three of the following products/technologies: Product Recommendations Search & Merchandising Large Language Models (application in fashion-related tasks) Computer Vision/Image Recognition A/B Testing Data Science Pipelines Content Personalization (CMS, DXP) Communication Skills : Strong communication skills (verbal and written), with comfort and experience in More ❯

Experience with some of the 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, Computer Science, Actuarial Science) Experience of WTW’s Radar and More ❯

Experience with some of the 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, Computer Science, Actuarial Science) Experience of WTW’s Radar and More ❯

That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS Bachelor of Science in Computer Science, Engineering, Mathematics or equivalent work experience 5+ years of Software Development or Systems experience, including hands-on development work and object-oriented design. 3+ … practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. PREFERRED QUALIFICATIONS Master's degree in Computer Science, Computer Engineering, Electrical Engineering or equivalent. Strong engineering fundamentals (networking, network services, operating systems) Leading development life cycle processes and best practices, especially in the areas More ❯

player in developing innovative solutions to enhance video streaming experiences. In this role, you'll build algorithms that detect and correct video defects using cutting-edge machine learning and computer vision techniques, ensuring high-quality video is delivered to millions of users across the globe. You'll be part of a dynamic team that is driving the next generation … of video quality analysis. What you will do: As a Software Development Engineer specializing in Video Quality Analysis, you will create and optimize systems that use deep learning and computer vision to detect and improve video quality. You'll work on developing scalable, real-time solutions that automatically identify defects in video streams, ensuring the best viewing experience for … functional teams to design, implement, and optimize algorithms for real-time video quality analysis and defect detection, using programming languages such as Java , C++ , or C# . Deep Learning & Computer Vision : Develop and refine deep learning models and computer vision techniques to assess and improve video content quality, ensuring they scale efficiently in large distributed systems. Architecture & Design More ❯

SQL, and Python Experience with cloud platforms (Azure preferred), Alteryx, and Snowflake Hands-on experience with data migration and integration across ERP platforms Essential Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field Detail-oriented with excellent analytical and problem-solving skills ⭐ Preferred Experience: Background in real estate, investments, or facilities management Familiarity More ❯

SQL, and Python Experience with cloud platforms (Azure preferred), Alteryx, and Snowflake Hands-on experience with data migration and integration across ERP platforms Essential Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field Detail-oriented with excellent analytical and problem-solving skills ⭐ Preferred Experience: Background in real estate, investments, or facilities management Familiarity More ❯

after hours. Share domain and technical expertise, providing technical mentorship and cross-training to other peers and team members. Qualifications Required Education and Experience: A Bachelor's degree in Computer Science or a related discipline and five (5) years of SQL Database Administration experience or a Master's degree and three (3) years or more experience. Four … after hours. Share domain and technical expertise, providing technical mentorship and cross-training to other peers and team members. Qualifications Required Education and Experience: A Bachelor's degree in Computer Science or a related discipline and five (5) years of SQL Database Administration experience or a Master's degree and three (3) years or more experience. Four More ❯