176 to 200 of 1,204 Computer Science Jobs in the UK

of product support professionals Previous experience with Saas products, preferably cyber security products Well versed with using case management systems and CRM's (e.g., SFDC/JIRA) Bachelor of Science in Computer Engineering/Computer Science, Electronics and Communications Engineering or non-graduates with good communication skills, strong technical knowledge or similar work experience required Role More ❯

specific business needs. Operating within a dynamic and evolving environment, you will play a key role in continuously advancing our technical capabilities and ensuring the effective application of data science across the insurance value chain. The role As a Principal Data Scientist, you will be an integral part of a dynamic technical team, strategically focused on leveraging data science … the entire insurance value chain, championing a multi-disciplinary approach to complex problem-solving. You will lead the end-to-end delivery of our most significant and complex data science initiatives, driving technical strategy, architecture, and best practices. You'll be a key driver in defining and upholding technical standards, ensuring the development of robust, scalable, and high-quality … emerging methodologies, and empirical research to develop critical business inputs and assist leaders in innovating their approaches. Technically lead the end-to-end delivery of our most complex data science initiatives, encompassing: o Strong understanding of intricate business challenges and translation into technical problem statements. o Working with diverse datasets, both internal and external. o Expert application and development More ❯

specific business needs. Operating within a dynamic and evolving environment, you will play a key role in continuously advancing our technical capabilities and ensuring the effective application of data science across the insurance value chain. The role As a Principal Data Scientist, you will be an integral part of a dynamic technical team, strategically focused on leveraging data science … the entire insurance value chain, championing a multi-disciplinary approach to complex problem-solving. You will lead the end-to-end delivery of our most significant and complex data science initiatives, driving technical strategy, architecture, and best practices. You'll be a key driver in defining and upholding technical standards, ensuring the development of robust, scalable, and high-quality … emerging methodologies, and empirical research to develop critical business inputs and assist leaders in innovating their approaches. Technically lead the end-to-end delivery of our most complex data science initiatives, encompassing: o Strong understanding of intricate business challenges and translation into technical problem statements. o Working with diverse datasets, both internal and external. o Expert application and development More ❯

integrate with. Contribute to the design and delivery of complex architectures and distributed systems, including working through with other engineers to help deliver the end solution. Qualifications Bachelor of Science degree in Computer Engineering or Computer Science, Mathematics or a related Engineering discipline 6+ years' relevant software experience required. Proficiency in C++ 11/17 programming More ❯

passionate team committed to excellence, innovation, and creating a positive and inclusive work environment. The Person · Educated to degree level, preferable in relevant subject area such as biomedical informatics, computer science, health information management, data science, life science or biomedical engineering. · Certification in clinical data management, Python, AI, data analytics and CDASH basics are all desirable. More ❯

enablement with leadership and work closely with product, services, and partner organizations on enablement activities. We're looking for candidates who have: A bachelor's degree or higher in computer science, data science, statistics, mathematics, economics, or a related field Solid experience in a data science, analytics, or consulting role, preferably in the cryptocurrency, financial services More ❯

tolerant design Security Protocols : Experience with LDAP, Active Directory, OAuth2, and Kerberos authentication Unix/Linux Proficiency : Advanced command-line skills and system administration experience Educational Foundation : Degree in Computer Science, Data Science, Engineering, or equivalent hands-on experience Bonus Points For Starburst Certified Practitioner certification Programming Skills in Python and/or Java Automation Expertise with More ❯

solutions to address business challenges. Present findings and recommendations to stakeholders in a clear and concise manner. Qualifications: Recently completed a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Information Systems, or a related field. Strong analytical and problem-solving skills with a keen attention to detail. Basic knowledge of data visualization tools More ❯

and detail oriented Passionate about software engineering Self-motivated, energetic, enthusiastic, and innovative Must have proven record of software delivery EDUCATION AND EXPERIENCE (INCLUDING CERTIFICATIONS) Bachelor's degree in Computer Science or Computer Engineering or equivalent required Proven experience in software development Proven experience in web development Proven experience in .NET development Experience with Ajax driven websites More ❯

and non-technical spectrum. Champion the ethical deployment of AI technologies, ensuring strict adherence to data privacy standards and regulations. What we are looking for: A university degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field. Proven experience in designing, developing, and deploying machine learning models and AI algorithms. Strong proficiency in programming More ❯

Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, theres no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely … security, and traceability of AI solutions. Develop automated reporting systems that make results from AI models easier to interpret, share, and act on. Key requirements: MSc or BSc in Computer Science, Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience. Proven experience designing and deploying MLOps pipelines (MLflow, Azure ML, Azure DevOps etc). Strong More ❯

implementing scalable, secure AI solutions, including data pipelines, model deployment, API integration, and MLOps best practices such as Trustworthy AI. Education and Experience: Bachelor's degree or equivalent in Computer Science, Data Science, Engineering, or a related field, Master's or PhD (or equivalent) highly desirable. Extensive experience in designing and implementing complex AI solutions, with a More ❯

equally welcome to apply. Person Specification Qualifications and Knowledge Essential oUndergraduate degree or equivalent knowledge and skills in data engineering or related discipline, for example (but not limited to) computer science, data science, information technology, software engineering, or other discipline with a substantial data engineering component oEvidence of continuing professional development and practical application of learning in More ❯

measure AI system performance and reliability. Implement responsible AI practices, including guardrails, content filtering, and compliance with industry standards. Requirements Education & Experience •Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field. 1+ years of experience in AI Engineering, Data Science, or ML Engineering roles. Experience with international More ❯

technical stakeholders. Help develop tools using SQL, Python, and BI platforms (e.g. Quicksight, Power BI, Tableau). What we’re looking for Essential: A degree in (Maths, Statistics, Economics, Computer Science, Data Science). Strong analytical and problem-solving skills. Proficiency in SQL and Excel . Excellent communication and presentation skills. Attention to detail with a proactive More ❯

to track key performance indicators (KPIs). Work closely with data engineers to ensure data accuracy and infrastructure optimization. Required Qualifications and Experience: Bachelors or masters degree in data science, Statistics, Computer Science, Economics, or a related field. 5+ years of experience in data analysis, business intelligence, or related roles. Proficiency in HubSpot CRM. Strong proficiency in More ❯

making. You will have a strong understanding of data integration and be confident working with integrated software systems. Ideally but not necessary, you will also hold a degree in Computer Science, Data Science, Information Systems, or a related discipline. Experience of delivering Power BI reporting solutions within a further education (FE) environment would be a distinct advantage. More ❯

making. You will have a strong understanding of data integration and be confident working with integrated software systems. Ideally but not necessary, you will also hold a degree in Computer Science, Data Science, Information Systems, or a related discipline. Experience of delivering Power BI reporting solutions within a further education (FE) environment would be a distinct advantage. More ❯

collaborate on large-scale transformation programs. Share insights and success stories across regions to scale impact and consistency. What You Bring Required Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field 7+ years of experience in enterprise data platforms, architecture, or solution advisory roles. Deep knowledge of SAP HANA Cloud, SAP More ❯

growth, as well as those that reach uniquely across The Walt Disney Company enterprise, such as messaging and privacy, among others. Additionally, it is responsible for the data engineering, science, and products for Disney Entertainment & ESPN, along with their interconnection with other parts of The Walt Disney Company. About The Role This is a unique, senior product role within … the development and release of new features and enhancements. Prioritize initiatives based on business value and customer impact. Stakeholder Collaboration: Work closely with cross-functional teams, including engineering, data science, marketing, sales, business operations, etc. to ensure successful product development and launch. Facilitate communication and collaboration among stakeholders. Requirements Gathering: Gather and document detailed product requirements from stakeholders, including … rollout. Continuous Improvement: Stay up to date with industry trends and emerging technologies. Continuously seek opportunities to innovate and improve data products. Basic Qualifications Education: Bachelor's degree in computer science, Data Science, or a related technical field. Experience: Minimum of 10 years of experience in a product management role, with a strong background in data management More ❯

ec2, elb, rds, route53 & s3) - 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 computer science - Experience communicating across technical and non-technical audiences - Experience in using Python and hands on experience building models with deep learning frameworks like More ❯

You will design and deploy AI solutions, including autonomous and agent-based systems capable of executing marketing workflows and optimising spend. Working closely with Marketing, Engineering, Product and ML Science, you will embed AI into decision-making, automation and cost optimisation workflows to drive revenue growth, reduce costs and increase customer engagement. What You'll Do Lead AI innovation … observability and guardrails for AI systems to ensure performance, reliability, compliance and safety Identify and address algorithm risks or inefficiencies before they impact marketing performance Collaborate with Marketing, Engineering, Science and Product teams to align AI innovations with business goals and scale them across brands, products and marketing processes Partner with product and engineering teams to design and enhance … and transparency in AI solutions Present recommendations and results to senior leadership in a clear, compelling and business-relevant way Who You Are Bachelor's or Master's in Computer Science, Data Science, AI/ML, Statistics or a related quantitative field; PhD preferred Hands-on experience with generative AI methods, deep learning, natural language processing or More ❯

Computer Vision Engineer - Sports Analytics Innovation Location: London, UK (Hybrid/Flexible) Salary: £70,000 base + OTE up to £140k-£200k in Year 1 About the Opportunity We are working with a pioneering technology company at the forefront of sports analytics and artificial intelligence . This is a unique chance to apply your expertise in computer vision … work will directly influence how millions of fans, teams, and broadcasters experience sport. Key Responsibilities Design, implement, and optimize deep learning algorithms for image and video analysisDevelop and enhance computer vision pipelines using both classical methods (OpenCV) and modern techniques (CNNs, detection/segmentation heads)Train, evaluate, and fine-tune models on large datasets, ensuring performance and accuracy in … the intersection of research and applied engineering . You enjoy solving complex problems and pushing models into production that have tangible, high-profile impact. Essential experience: Strong background in Computer Vision and image/video processingHands-on experience with OpenCV pipelines Proficiency with deep learning frameworks (PyTorch, TensorFlow, Keras)Knowledge of CNN architectures and training dynamicsProven experience deploying and More ❯

is a world-leading bioinformatics centre providing biological data to the scientific community with expertise in data storage, analysis and representation. EMBL-EBI provides freely available data from life science experiments, performs basic research in computational biology and offers an extensive user training programme, supporting researchers in academic and industry. Main Duties and Responsibilities Develop and maintain the scientific … meeting with partners on campus (such as Open Targets) and external stakeholders Contribute to training activities, and participate in scientific meetings You have: A Masters or equivalent in Chemistry, Computer Science, Bioinformatics, Data Science, or a related field. Experience in cheminformatics or data engineering applied to life sciences Track record of delivered projects involving scientific data processing More ❯

is a world-leading bioinformatics centre providing biological data to the scientific community with expertise in data storage, analysis and representation. EMBL-EBI provides freely available data from life science experiments, performs basic research in computational biology and offers an extensive user training programme, supporting researchers in academic and industry. Main Duties and Responsibilities Develop and maintain the scientific … meeting with partners on campus (such as Open Targets) and external stakeholders Contribute to training activities, and participate in scientific meetings You have: A Masters or equivalent in Chemistry, Computer Science, Bioinformatics, Data Science, or a related field. Experience in cheminformatics or data engineering applied to life sciences Track record of delivered projects involving scientific data processing More ❯