101 to 125 of 6,843 Computer Science Jobs in London

development. Mentor and guide junior engineers, supporting their growth Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Bachelors' degree in Computer Science, Software Engineering or related discipline. Experience in industry within software engineering. Cloud experience (e.g., AWS, Google Cloud, Azure, Kubernetes), including infrastructure-as-code Application experience of CI … API design principles, protocols, and tools (REST, GraphQL, Swagger, etc.). Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Master's degree in Computer Science, Software Engineering, or related discipline. Experience with data modeling, particularly involving the use of semantic data and ontologies/taxonomies/business data. Experience architecting, building, or … 4391. This will help us to understand any modifications we may need to make to support you throughout our selection process. #LI-GSK #GSKOnyx Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose to unite science, technology and talent to get ahead of disease More ❯

strategy. In this role, you will: Lead AI strategy and execution in a high-ambiguity environment. Build, train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. Collaborate closely with product, design, and DevOps to integrate … strategy. In this role, you will: Lead AI strategy and execution in a high-ambiguity environment. Build, train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. Collaborate closely with product, design, and DevOps to integrate … complex concepts to both technical and non-technical stakeholders. Experience recruiting and mentoring engineers or data scientists in a fast-paced environment. Education: Bachelor’s or Master’s in Computer Science, AI/ML, Electrical Engineering, Statistics, or a related field. (Ph.D. in AI/ML is a plus but not required if hands-on experience is extensive. More ❯

unit, integration and data quality tests. Contributing to documentation and best practice guidelines. Staying up to date with current technology and techniques. Experience/Competences Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline. Experience working with Python and SQL, other languages like Java, C# or C++ are also useful. Experience with time-series … line. Understanding of ETL and event streaming e.g. Kafka. Snowflake, Kubernetes and Airflow experience is desirable. Experience with Amazon Web Services (AWS) would be beneficial. Basic knowledge of data science topics like machine learning, data mining, statistics, and visualisation. #J-18808-Ljbffr More ❯

London – Senior Data Engineer, Consultant Ekimetrics UK Job Description About Ekimetrics Ekimetrics is a leader in data science and AI-powered solutions. Since 2006, we’ve pioneered the use of AI and data science applied to unified marketing performance, measurement and holistic business optimization aligned with sustainability goals. Our goal: Combine high-impact AI and data science solutions for sustainable business performance. At Ekimetrics, we help companies seize their data opportunities by creating new data and analytics capabilities and deploying data science solutions that power-up their revenue strategy and improve their business operations. Key figures about Ekimetrics 400+ data science experts globally 1000+ diverse projects for more than 350+ clients 4 offices: Paris … capabilities and ensuring a link between our global data engineering and architecture team. This role will be part of a global Data Engineering & Architecture team which helps keep data science projects operational across business lines (e.g., data lake implementation, data strategies, data transformation, advance machine learning), actively contributes to the transformation of our clients’ infrastructure and organisation, and democratises More ❯

an agile, distributed team spanning multiple time zones and continents. You are able to communicate effectively across both technical and non-technical audiences. You have a solid understanding of computer science and engineering fundamentals. You have experiences working with distributed systems. You are proficient in one or more of the following programming languages: C#, Java, C, C++, Python … Code, Rider, and version control systems (Git, Perforce). You have 7+ years of software development engineering experience. You have a Bachelor's/Master's level degree in computer science or relevant engineering-related field or equivalent experience. Not everyone has the same level of access to opportunities. What is most important to us is what and More ❯

governance frameworks and enterprise compliance protocols . Exposure to CI/CD pipelines for data deployments and infrastructure-as-code. Education & Experience: Bachelor’s or Master’s degree in Computer Science , Engineering , Data Science , or a related field. Demonstrated success in designing, scaling, and operating data systems in cloud-native and distributed environments . Proven ability to More ❯

governance frameworks and enterprise compliance protocols . Exposure to CI/CD pipelines for data deployments and infrastructure-as-code. Education & Experience: Bachelor’s or Master’s degree in Computer Science , Engineering , Data Science , or a related field. Demonstrated success in designing, scaling, and operating data systems in cloud-native and distributed environments . Proven ability to More ❯

governance frameworks and enterprise compliance protocols . Exposure to CI/CD pipelines for data deployments and infrastructure-as-code. Education & Experience: Bachelor’s or Master’s degree in Computer Science , Engineering , Data Science , or a related field. Demonstrated success in designing, scaling, and operating data systems in cloud-native and distributed environments . Proven ability to More ❯

governance frameworks and enterprise compliance protocols . Exposure to CI/CD pipelines for data deployments and infrastructure-as-code. Education & Experience: Bachelor’s or Master’s degree in Computer Science , Engineering , Data Science , or a related field. Demonstrated success in designing, scaling, and operating data systems in cloud- and distributed environments . Proven ability to work More ❯

and troubleshooting for BI tools and data-related issues. Stay current with industry trends, best practices, and emerging technologies in BI and data analytics. Qualifications: Bachelor’s degree in Computer Science, Information Technology, Data Science, Business Analytics, or a related field. Experience as a BI Specialist, Data Analyst, or similar role. Proficiency in BI tools such as More ❯

coverage are met. Contribute to a positive company culture. Key Interfaces QA, Business Analysts & Product Owners Platform & Front-end Engineering Teams Architects CloudOps Knowledge, Experience, and Skills Degree in computer science or related field, or equivalent experience. Proven experience as a Data Software Engineer. Strong proficiency in SQL and C#/.NET. Experience with OO and functional programming More ❯

language such as Java. * Experience debugging, diagnosing, and troubleshooting complex, production software issues. * Problem-solving and analytical mindset to identify and resolve issues. PREFERRED QUALIFICATIONS * Master’s degree in Computer Science, Computer Engineering or related technical field * Experience working in a cloud based development and production environment such as AWS. * Experience working in an agile software development More ❯

tasks to ensure the highest levels of availability Implement and maintain security best practices for payment systems, ensuring compliance with industry standards. Minimum Qualifications: BS or MS degree in computer science, computer engineering, or other technical discipline, or equivalent 4-8 years of work experience in DevOps/SRE. Development or support of Java/J2EE/ More ❯

to meet the demands of a growing customer base and evolving business requirements. Implement strategies to prevent downtime and manage disaster recovery. Collaboration: Collaborate closely with product engineering, data science, security, and other cross-functional teams to drive cohesive, integrated solutions that meet both technical and business requirements. You will break down silos between teams and departments, ensuring seamless … operational efficiencies. Problem-Solving: Proven ability to analyse complex problems, identify solutions, and execute on those solutions with cross-functional teams. Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Advanced certifications in cloud technologies, security, or architecture are a plus. Nice to Have: Experience in highly regulated industries such as fintech More ❯

data models to ensure data integrity is maintained CI CD pipeline creation & automation using GIT & GIT Actions Tuning and optimizing data processes Qualifications Required Qualifications: · Bachelor's degree in Computer Science or a related field. · Proven hands-on experience as a Data Engineer. · Proficiency in SQL (any flavor), with experience using Window functions and advanced features. · Excellent communication More ❯

data models to ensure data integrity is maintained CI CD pipeline creation & automation using GIT & GIT Actions Tuning and optimizing data processes Qualifications Required Qualifications: · Bachelor's degree in Computer Science or a related field. · Proven hands-on experience as a Data Engineer. · Proficiency in SQL (any flavor), with experience using Window functions and advanced features. · Excellent communication More ❯

data models to ensure data integrity is maintained CI CD pipeline creation & automation using GIT & GIT Actions Tuning and optimizing data processes Qualifications Required Qualifications: · Bachelor's degree in Computer Science or a related field. · Proven hands-on experience as a Data Engineer. · Proficiency in SQL (any flavor), with experience using Window functions and advanced features. · Excellent communication More ❯

way things are done and able to communicate best practice to the rest of the team. As a candidate, you should have: Degree educated in one of the following: Computer Science, Data Science, Engineering, Mathematics, Physics, or equivalent experience. Azure Intelligent Data Platform expertise. 4+ years working with SQL: building and optimising analytics tables, building complex queries. More ❯

a Software Developer or DevOps Engineer. Education and Professional Skills Relevant professional qualifications/certifications include: Azure Developer Associate DevOps Engineer Expert and a BS/MS degree in Computer Science, Software Engineering, or a related STEM field. Detailed Responsibilities Develop and enhance LSEG's Cloud Management Engine (CME), serving as the API-driven orchestration layer for self More ❯

advantage. Solid mathematical finance and statistical analysis skills. Familiarity with Numerical analysis/Monte-Carlo methods. Knowledge of probability and stochastic calculus. Education: Master's degree or equivalent in computer science, mathematics, engineering or physics. This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. More ❯

a culture of continuous improvement and operational excellence within the data engineering team. What experience you'll bring: Skills and Experience Required: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 10+ years of experience in data engineering or a related field, with at least 5 years in a leadership role. Proven experience More ❯

of the latest trends and advancements in data engineering, data analytics, and AI. Deep understanding of data governance, data security, and compliance requirements. Qualifications A bachelor’s degree in Computer Science 6+ years of professional experience in the related field Working Conditions This position may require occasional travel. Hybrid work arrangement: two days per week working from the More ❯

engineers, fostering a collaborative and high-performing team. ESSENTIAL QUALIFICATIONS AND SKILLS: • 3+ years' experience in a lead data engineering or lead data architecture role • Bachelor's degree in computer science, statistics, informatics, information systems, or another quantitative field • Advanced working SQL knowledge and experience working with relational databases, ETL pipelines ,architectures, and data sets • Experience with scripting More ❯

the Project/Account Manager or Principal Technical Consultant. Support client training services in custom development technologies. Required Skills, Experience and Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, Finance, Accounting, Economics, or a directly related IT field. 5+ years’ experience in Software Design and Development and/or deployment. Minimum 3 years direct experience More ❯

to deliver complex software projects independently. Strong analytical and problem-solving skills. Excellent written and verbal communication, with the ability to explain technical topics to business stakeholders. Degree in Computer Science or related field (or equivalent experience). Bonus Points For Experience with Blazor and RESTful/API-first development Familiarity with Azure or other cloud platforms Understanding More ❯