1 to 25 of 3,020 Computer Science Jobs in London

code, and development processes. Prepare reports and presentations to communicate findings and progress to stakeholders. Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. Experience: Proven experience in AI/ML model development and software engineering. Experience with … Excellent problem-solving skills. Strong communication abilities. Capability to work collaboratively in a team environment. Preferred Skills Experience with natural language processing (NLP) and computer vision techniques. Knowledge of reinforcement learning and deep learning architectures. Familiarity with DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines. ...

complex construction or infrastructure project/programme Experience developing enterprise data products and supporting AI or advanced analytics initiatives. Education/Background Degree in Computer Science, Data Engineering, Data Science, Information Systems, Software Engineering, or related discipline. Professional certifications in Microsoft Fabric, Azure Data Engineering, Data Management ...

/programme Experience developing enterprise data products and supporting AI or advanced analytics initiatives.Education/Background One or more of the following: Degree in Computer Science, Data Engineering, Data Science, Information Systems, Software Engineering, or related discipline.Professional certifications in Microsoft Fabric, Azure Data Engineering, Data Management ...

Contribute to the design and evolution of cloud-native, distributed systems and modern application architectures. Your experience Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Organizational Sciences, or a related field, or equivalent practical experience. Demonstrated experience developing backend applications with Python and .NET, together ...

skills — able to present complex technical concepts to non-technical audiences and align diverse stakeholders around a shared project plan.* Bachelor's degree in Computer Science, Engineering, or a related discipline.**Beneficial Skills & Qualifications*** Experience leading AI or automation initiatives within a financial services engineering team, including tooling … with cloud platforms (AWS, Azure, or GCP) and DevOps practices including containerisation, CI/CD pipelines, and infrastructure as code.* Master's degree in Computer Science, Finance, or a related field; professional certifications such as PMP, CSM, or AI/ML credentials are a plus.* Prior experience applying ...

skills — able to present complex technical concepts to non-technical audiences and align diverse stakeholders around a shared project plan. Bachelor's degree in Computer Science, Engineering, or a related discipline. Beneficial Skills & QualificationsExperience leading AI or automation initiatives within a financial services engineering team, including tooling evaluation … with cloud platforms (AWS, Azure, or GCP) and DevOps practices including containerisation, CI/CD pipelines, and infrastructure as code. Master's degree in Computer Science, Finance, or a related field; professional certifications such as PMP, CSM, or AI/ML credentials are a plus. Prior experience applying ...

technology stack, releasing frequently, and collaborating with talented engineers worldwide? If so, we'd love to talk. We collaborate closely with Product, Analytics, Data Science, CRM, Marketing, Finance, and Machine Learning teams across Tripadvisor's global engineering organization. What You'll DoData Engineering & Data Products & EnablementOwn the full lifecycle … alerting, and anomaly detection, and lead incident response and root-cause analysis. Define scalable, reusable data models and curated data sets for analytics, data science, CRM, machine learning, and other data consumers across the organization. Design, build, and maintain robust ETL/ELT data pipelines that process terabyte ...

Continuously evaluate new Java technologies, frameworks, libraries, and development approaches that can improve software quality and engineering productivity. Essential Requirements Bachelor's degree in computer science , Software Engineering, Engineering , or a related discipline, or equivalent professional experience. 10+ years of commercial Java development experience , with substantial recent hands ...

core values: Transparent, Fair and Daring Skills/Knowledge The role requires the following key skills/knowledge, non-exhaustively: Bachelor’s degree in computer science, software engineering, or related field Professional experience as software engineer, preferably in a consultancy or industry setting Experience with multiple programming languages ...

understanding of modern software development methodologies, including Agile and DevOps practices. • Exceptional analytical, problem-solving, and communication skills. **Other Requirements** • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field required. • Master’s degree preferred. • 7+ years of experience in solutions architecture, system design ...

evaluate new technologies, AI trends and tools to enhance the capabilities of the data engineering function. Qualifications Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. 3+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python ...

Continuously improve the coverage of security tooling in Cloud environments e.g. Microsoft Azure & Amazon AWS The knowledge, experience and qualifications you need Computer Science/Cyber Security Degree Application Development background Azure DevOps experience Prior experience in using AI models and cyber harnesses to support security evaluation ...

values: Transparent, Fair and Daring Skills/Knowledge Essential The role requires the following key skills/knowledge, non-exhaustively: Bachelor’s degree in computer science, software engineering, electronic and electrical engineering or related field Professional experience as an embedded software engineer, preferably in a consultancy or industry ...

stakeholders, embracing new technologies, and creating solutions that make a genuine impact across the firm. Qualifications A degree, apprenticeship or equivalent practical experience in Computer Science, Software Engineering, Information Systems or a related field. Microsoft, Google Cloud, software development, integration or automation certifications are a bonus, but they ...

Scripting: Python, Bash, Shell Exposure to AI-assisted development tools or automation frameworks is a plus Experience and Qualifications Required Bachelor’s degree in Computer Science/Engineering (or equivalent) Strong hands‐on experience in DevOps and Cloud technologies Experience with CI/CD pipelines (GitLab preferred) Knowledge ...

Role Overview Join the Alternatives Data Science team and lead data science and AI initiatives across the Real Estate investing platform. The role sits at the intersection of investing, AI, and analytics, partnering closely with Deal Teams, portfolio company management teams, and Engineering to identify opportunities where data … aspect of the role is acting as the bridge between investment professionals and technical teams, translating investment questions into analytical solutions and ensuring data science and AI outputs are communicated in a commercially relevant and actionable way. The Alternatives Data Science team works alongside Goldman Sachs Deal Teams ...

Description Role Overview Join the Alternatives Data Science team and lead data science and AI initiatives across the Real Estate investing platform. The role sits at the intersection of investing, AI, and analytics, partnering closely with Deal Teams, portfolio company management teams, and Engineering to identify opportunities where … aspect of the role is acting as the bridge between investment professionals and technical teams, translating investment questions into analytical solutions and ensuring data science and AI outputs are communicated in a commercially relevant and actionable way. The Alternatives Data Science team works alongside Goldman Sachs Deal Teams ...

Role Overview Join the Alternatives Data Science team and lead data science and AI initiatives across the Real Estate investing platform. The role sits at the intersection of investing, AI, and analytics, partnering closely with Deal Teams, portfolio company management teams, and Engineering to identify opportunities where data … aspect of the role is acting as the bridge between investment professionals and technical teams, translating investment questions into analytical solutions and ensuring data science and AI outputs are communicated in a commercially relevant and actionable way. The Alternatives Data Science team works alongside Goldman Sachs Deal Teams ...

level Identity, Access Management (IAM) platforms, Fine-Grained Access Control (FGAC) systems, and defining authorization policies. A Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related technical discipline, with a strong academic record. You’ll probably have over 7 years of experience … attitude, and ability matter more to us than a number. Experience working in fintech or within the financial services industry. Proficient understanding of core computer science principles, including data structures, algorithms, software design, and complexity analysis. Demonstrable programming ability in at least one modern language (e.g., Python, Java ...

Continuous Improvement: Stay ahead of industry trends, introducing innovative tools and technologies to enhance development efficiency. Qualifications and Key Skills Education: Bachelor’s in Computer Science or related field from a Tier 1 university. Experience: Minimum of 4 years of full‐time professional experience in software development, with … Soft Skills: Excellent communication, organisational skills, and the ability to work independently or within a team. Preferred Qualifications Advanced Degrees: Master’s in Data Science or Software Engineering. Cloud & DevOps: Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines ...

000+ clients. What you will be doingAs a Senior Data Scientist in our London office, your role will encompass: Designing and implementing advanced data science and machine learning solutions to solve complex business problems. Taking ownership of project streams, from defining technical deliverables and timelines to presenting updates … deploying robust, scalable solutions using modern cloud technologies and MLOps principles. QualificationsNecessary education and experienceEducation: A Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field. Project & Team Leadership: Demonstrable experience supervising team members, taking responsibility for project delivery, defining ...

solution behavior, known limitations, test results, and operational considerations for internal teams and client stakeholders. Cross‐Functional Collaboration Collaborate with product, engineering, design, data science, ServiceNow platform, and consulting teams to translate business needs into technical solutions. Participate in requirements gathering, solution‐design sessions, sprint planning, code reviews … ideas for new AI capabilities, reusable intellectual property, Agent Packs, accelerators, and product enhancements. Required Qualifications Currently pursuing or recently completed a degree in Computer Science, Engineering, Data Science, Artificial Intelligence, Machine Learning, or a related technical discipline. 1–3 years of relevant experience through internships ...

Salary: £37,000 - 77,000 per year Requirements: Bachelors degree in Computer Science, Information Technology, or related field. 5+ years of software development experience. Strong experience with Python. Experience with FastAPI, Flask, or Django. Experience with REST API and microservices development. Strong knowledge of React.js. Experience with JavaScript ...

that foundation. But the mandate is to move the organization decisively beyond static reporting toward a proactive, intelligent analytics capability: partnering with Data Science to productize and visualize their models, enabling generative AI and LLM-based access to our data, building exception-based systems that alert users when outcomes … will work shoulder to shoulder with Data Engineering on the boundary between platform and consumption, with Product Management on roadmap and requirements, with Data Science on advanced analytic products, and with Analytics Operations on a disciplined intake and prioritization process that makes the best possible use of finite capacity. ...

feedback, and platform adoption KPIs, and iterate the product accordingly. Job requirements and experience Bachelor’s or Master’s degree in Information Management, Data Science, Computer Science, or a related field, complemented by relevant certifications such as Product Owner (PSPO). Proven experience (3+ years ...