526 to 550 of 4,326 Computer Science Jobs

London office 🌱 Learning Pathway – Gain exposure to advanced ML frameworks and progress toward senior engineering roles as you grow What We’re Looking For: 🎓 A degree in Artificial Intelligence, Computer Science, Mathematics, or a related field 🐍 Proficiency in Python and experience with frameworks such as PyTorch , NumPy , or Scikit-learn 🧩 Understanding of machine learning algorithms, optimisation, and model … Weights & Biases 📊 Exposure to GANs , diffusion models , or autoregressive architectures 📚 Knowledge of data privacy , machine unlearning , or secure ML methods 💻 Internship or academic project experience in AI research , data science , or software development If you’re ready to take your first step into applied machine learning and work on projects that push the boundaries of AI innovation — we’d More ❯

This role is pivotal in shaping the future of our AI product portfolio, translating complex technologies into impactful business applications. You will work cross-functionally with stakeholders in data science, engineering, customer success, and business leadership to deliver innovative AI capabilities that solve real-world problems. Key Responsibilities Define and drive the product vision, strategy, and roadmap for AI … products, ideally from zero to one. Strong technical understanding of AI systems, including architecture, data pipelines, and model integration. Demonstrated ability to work with stakeholders across CS, tech, data science, and business leadership. Experience applying product management frameworks in technical environments. Ability to break down complex problems, prioritise effectively, and drive clarity in decision-making. Excellent communication and stakeholder … but not required. Familiarity with tools and platforms such as TensorFlow, PyTorch, AWS/Azure/GCP, and agile methodologies. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Engineering, AI, or related field. 5+ years in product management, with at least 3 years focused on AI/ML solutions. Experience in launching AI products that More ❯

concepts. Excellent communication and collaboration skills. A positive, proactive attitude and the ability to work well as part of a team. Qualifications & Experience: A degree in any discipline (e.g. Computer Science, Mathematics, Physics, Engineering, Data Science or similar) or equivalent experience such as self-taught programming or relevant project work. Some exposure to programming (for example, through More ❯

concepts. Excellent communication and collaboration skills. A positive, proactive attitude and the ability to work well as part of a team. Qualifications & Experience: A degree in any discipline (e.g. Computer Science, Mathematics, Physics, Engineering, Data Science or similar) or equivalent experience such as self-taught programming or relevant project work. Some exposure to programming (for example, through More ❯

evaluate: Algorithmic problem-solving Data structures and computational efficiency Code quality and optimisation under time constraints Ideal Candidate Profile Academic and Professional Background Degree/Masters/PhD in Computer Science, Data Science, or a related discipline Proven experience as a Back-End Developer/Engineering Lead/CTO in data-heavy environments Demonstrable history of technical More ❯

evaluate: Algorithmic problem-solving Data structures and computational efficiency Code quality and optimisation under time constraints Ideal Candidate Profile Academic and Professional Background Degree/Masters/PhD in Computer Science, Data Science, or a related discipline Proven experience as a Back-End Developer/Engineering Lead/CTO in data-heavy environments Demonstrable history of technical More ❯

business continuity plans Develop and maintain documentation related to infrastructure, deployment, and operations Mentor and provide technical guidance to junior engineers Qualifications: Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field At least 5 years of professional experience as SRE Strong skills in building cloud infra orchestration systems (Operators) using Python More ❯

evaluate: Algorithmic problem-solving Data structures and computational efficiency Code quality and optimisation under time constraints Ideal Candidate Profile Academic and Professional Background Degree/Masters/PhD in Computer Science, Data Science, or a related discipline Proven experience as a Back-End Developer/Engineering Lead/CTO in data-heavy environments Demonstrable history of technical More ❯

evaluate: Algorithmic problem-solving Data structures and computational efficiency Code quality and optimisation under time constraints Ideal Candidate Profile Academic and Professional Background Degree/Masters/PhD in Computer Science, Data Science, or a related discipline Proven experience as a Back-End Developer/Engineering Lead/CTO in data-heavy environments Demonstrable history of technical More ❯

evaluate: Algorithmic problem-solving Data structures and computational efficiency Code quality and optimisation under time constraints Ideal Candidate Profile Academic and Professional Background Degree/Masters/PhD in Computer Science, Data Science, or a related discipline Proven experience as a Back-End Developer/Engineering Lead/CTO in data-heavy environments Demonstrable history of technical More ❯

policies. Oversee timetabling, resource allocation, and coordination of teaching delivery across campuses. Teaching and Learning Deliver high-quality teaching across core Computing modules (e.g., Software Engineering, AI, Cybersecurity, Data Science, Cloud Computing, or related fields). Use innovative and inclusive pedagogical approaches, such as flipped learning, problem-based learning, and project-led teaching. Supervise dissertations, projects, and placements at … forums to enhance the visibility and reputation of the Computing discipline. Support marketing, outreach, and recruitment activities, including open days and external events. Person Specification Essential: Masters degree in Computer Science or a closely related field. Relevant teaching qualification (e.g. PGCert, PGCHE) or Fellowship of Advance HE (or willingness to obtain). Evidence of successful teaching and assessment … leadership or coordination. Knowledge and experience of quality assurance procedures and academic governance. Demonstrable expertise in at least one key area of Computing (e.g. AI, Cybersecurity, Software Engineering, Data Science, Networking, Cloud Computing). Engagement in research, scholarship, or professional practice relevant to Computing. Excellent communication and presentation skills, both written and verbal. Strong leadership, organisational, and team management More ❯

with agile development methodologies - Strong communication skills and ability to work with cross-functional teams - Background in data governance and security best practices Preferred Qualifications: - Master's degree in Computer Science, Information Systems, or related field - AWS certifications (Solutions Architect, Data Analytics) - Experience with real-time data processing - Experience with version control systems (Git) If you are interested More ❯

Azure, or GCP Knowledge of data governance frameworks and metadata management. Experience with Kafka, Spark, Airflow, or similar tools for data orchestration. Qualifications Bachelor's or Masters degree in Computer Science, Finance, or related field. 5 to 7 years of experience in data engineering, preferably in financial services. Soft Skills Strong analytical and problem-solving mindset. Excellent communication More ❯

software performance and quality. What you need for this • Knowledge of Medical device software development, IEC-62304 and FDA guidance in a technical discipline, preferably software related (Software Engineering, Computer Science, Computer Engineering or related technical field) with a minimum of 4 years of software verification experience, or master's degree plus 2 years related experience. • Proven More ❯

Bonus Points: Experience with observability frameworks like Prometheus or OpenTelemetry Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Requirements: Degree in Computer Science, Engineering, Data Science or similar What We Offer A collaborative and innovative work environment with awesome career growth opportunities 34 days holiday plus your birthday off More ❯

expert for data-driven transformation => BUILD TRUST OK, AND HOW CAN YOU GET THERE? You have a Master’s degree in a relevant field such as Economics, Engineering, Data Science, Computer Science, Finance, or Business Analytics. You are fluent in English Max 3–5 years of experience in a similar role, ideally gained in consulting or with More ❯

expert for data-driven transformation => BUILD TRUST OK, AND HOW CAN YOU GET THERE? You have a Master’s degree in a relevant field such as Economics, Engineering, Data Science, Computer Science, Finance, or Business Analytics. You are fluent in English Max 3–5 years of experience in a similar role, ideally gained in consulting or with More ❯

Selenium, Cypress, or similar. Participate in Agile development processes, including sprint planning and retrospectives. Contribute to continuous improvement of QA practices and tools. Required Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Understanding of software QA methodologies, tools, and processes. Experience with manual testing and familiarity with test case management More ❯

adoption of advanced pricing methodologies (hierarchical models, A/B testing, time-series forecasting). • Analytics & Forecasting - Manage end-to-end pricing analytics, including business metrics. - Partner with data science teams to refine models (Supervised Learning, Time Series, Neural Network, etc.). • Cross-functional Leadership - Collaborate with senior leaders to shape pricing decisions and weekly fee plans - Translate complex … quickly and still deliver clarity. Clear communication: Ability to distill complex technical findings into clear business narratives. EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS: Required Bachelor's degree in Economics, Statistics, Computer Science, Engineering, Data Science, or a quantitative field required; Master's preferred 9+ years in analytics, data science, pricing, strategy, consulting, and/or forecasting with … demonstrated impact. Strong foundation in statistics and experimentation - hypothesis testing, regression, causal inference, experimental design, and power calculations. Preferred Extensive expertise in data science, revenue management, and experimental design. Strong stakeholder management and executive communication skills. Ability to work across highly matrixed, global organizations. Familiarity with the plasma/healthcare industry or subscription-based pricing is a plus. Comfort More ❯

adoption of advanced pricing methodologies (hierarchical models, A/B testing, time-series forecasting). • Analytics & Forecasting - Manage end-to-end pricing analytics, including business metrics. - Partner with data science teams to refine models (Supervised Learning, Time Series, Neural Network, etc.). • Cross-functional Leadership - Collaborate with senior leaders to shape pricing decisions and weekly fee plans - Translate complex … quickly and still deliver clarity. Clear communication: Ability to distill complex technical findings into clear business narratives. EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS: Required Bachelor's degree in Economics, Statistics, Computer Science, Engineering, Data Science, or a quantitative field required; Master's preferred 9+ years in analytics, data science, pricing, strategy, consulting, and/or forecasting with … demonstrated impact. Strong foundation in statistics and experimentation - hypothesis testing, regression, causal inference, experimental design, and power calculations. Preferred Extensive expertise in data science, revenue management, and experimental design. Strong stakeholder management and executive communication skills. Ability to work across highly matrixed, global organizations. Familiarity with the plasma/healthcare industry or subscription-based pricing is a plus. Comfort More ❯

adoption of advanced pricing methodologies (hierarchical models, A/B testing, time-series forecasting). • Analytics & Forecasting - Manage end-to-end pricing analytics, including business metrics. - Partner with data science teams to refine models (Supervised Learning, Time Series, Neural Network, etc.). • Cross-functional Leadership - Collaborate with senior leaders to shape pricing decisions and weekly fee plans - Translate complex … quickly and still deliver clarity. Clear communication: Ability to distill complex technical findings into clear business narratives. EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS: Required Bachelor's degree in Economics, Statistics, Computer Science, Engineering, Data Science, or a quantitative field required; Master's preferred 9+ years in analytics, data science, pricing, strategy, consulting, and/or forecasting with … demonstrated impact. Strong foundation in statistics and experimentation - hypothesis testing, regression, causal inference, experimental design, and power calculations. Preferred Extensive expertise in data science, revenue management, and experimental design. Strong stakeholder management and executive communication skills. Ability to work across highly matrixed, global organizations. Familiarity with the plasma/healthcare industry or subscription-based pricing is a plus. Comfort More ❯

adoption of advanced pricing methodologies (hierarchical models, A/B testing, time-series forecasting). • Analytics & Forecasting - Manage end-to-end pricing analytics, including business metrics. - Partner with data science teams to refine models (Supervised Learning, Time Series, Neural Network, etc.). • Cross-functional Leadership - Collaborate with senior leaders to shape pricing decisions and weekly fee plans - Translate complex … quickly and still deliver clarity. Clear communication: Ability to distill complex technical findings into clear business narratives. EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS: Required Bachelor's degree in Economics, Statistics, Computer Science, Engineering, Data Science, or a quantitative field required; Master's preferred 9+ years in analytics, data science, pricing, strategy, consulting, and/or forecasting with … demonstrated impact. Strong foundation in statistics and experimentation - hypothesis testing, regression, causal inference, experimental design, and power calculations. Preferred Extensive expertise in data science, revenue management, and experimental design. Strong stakeholder management and executive communication skills. Ability to work across highly matrixed, global organizations. Familiarity with the plasma/healthcare industry or subscription-based pricing is a plus. Comfort More ❯

adoption of advanced pricing methodologies (hierarchical models, A/B testing, time-series forecasting). • Analytics & Forecasting - Manage end-to-end pricing analytics, including business metrics. - Partner with data science teams to refine models (Supervised Learning, Time Series, Neural Network, etc.). • Cross-functional Leadership - Collaborate with senior leaders to shape pricing decisions and weekly fee plans - Translate complex … quickly and still deliver clarity. Clear communication: Ability to distill complex technical findings into clear business narratives. EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS: Required Bachelor's degree in Economics, Statistics, Computer Science, Engineering, Data Science, or a quantitative field required; Master's preferred 9+ years in analytics, data science, pricing, strategy, consulting, and/or forecasting with … demonstrated impact. Strong foundation in statistics and experimentation - hypothesis testing, regression, causal inference, experimental design, and power calculations. Preferred Extensive expertise in data science, revenue management, and experimental design. Strong stakeholder management and executive communication skills. Ability to work across highly matrixed, global organizations. Familiarity with the plasma/healthcare industry or subscription-based pricing is a plus. Comfort More ❯

adoption of advanced pricing methodologies (hierarchical models, A/B testing, time-series forecasting). • Analytics & Forecasting - Manage end-to-end pricing analytics, including business metrics. - Partner with data science teams to refine models (Supervised Learning, Time Series, Neural Network, etc.). • Cross-functional Leadership - Collaborate with senior leaders to shape pricing decisions and weekly fee plans - Translate complex … quickly and still deliver clarity. Clear communication: Ability to distill complex technical findings into clear business narratives. EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS: Required Bachelor's degree in Economics, Statistics, Computer Science, Engineering, Data Science, or a quantitative field required; Master's preferred 9+ years in analytics, data science, pricing, strategy, consulting, and/or forecasting with … demonstrated impact. Strong foundation in statistics and experimentation - hypothesis testing, regression, causal inference, experimental design, and power calculations. Preferred Extensive expertise in data science, revenue management, and experimental design. Strong stakeholder management and executive communication skills. Ability to work across highly matrixed, global organizations. Familiarity with the plasma/healthcare industry or subscription-based pricing is a plus. Comfort More ❯

adoption of advanced pricing methodologies (hierarchical models, A/B testing, time-series forecasting). • Analytics & Forecasting - Manage end-to-end pricing analytics, including business metrics. - Partner with data science teams to refine models (Supervised Learning, Time Series, Neural Network, etc.). • Cross-functional Leadership - Collaborate with senior leaders to shape pricing decisions and weekly fee plans - Translate complex … quickly and still deliver clarity. Clear communication: Ability to distill complex technical findings into clear business narratives. EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS: Required Bachelor's degree in Economics, Statistics, Computer Science, Engineering, Data Science, or a quantitative field required; Master's preferred 9+ years in analytics, data science, pricing, strategy, consulting, and/or forecasting with … demonstrated impact. Strong foundation in statistics and experimentation - hypothesis testing, regression, causal inference, experimental design, and power calculations. Preferred Extensive expertise in data science, revenue management, and experimental design. Strong stakeholder management and executive communication skills. Ability to work across highly matrixed, global organizations. Familiarity with the plasma/healthcare industry or subscription-based pricing is a plus. Comfort More ❯