151 to 175 of 6,053 Degree Jobs in the UK

at the edge of Generative AI. ?? Nice to Have Experience with PromptOps tools (PromptLayer, Humanloop, LangFuse). Knowledge of ethical AI, bias mitigation, responsible AI principles. Bachelors or Masters degree in Computer Science, AI/ML or related field. Tech Stack LLMs: GPT-4/5, Claude, Gemini, Mistral, LLaMA, Cohere Frameworks: LangChain, LlamaIndex, Haystack Tools: GitHub Copilot, Cursor More ❯

Experience Strong problem-solving skills Proven experience with SQL, Power BI, and Microsoft Excel Excellent communication skills, with the ability to simplify complex analytics for senior stakeholders Bachelor's degree in a quantitative field (e.g., Computer Science, Data Analytics, Mathematics) Experience in the insurance or Lloyd's market Familiarity with IT change control processes Master's or PhD in More ❯

Experience Strong problem-solving skills Proven experience with SQL, Power BI, and Microsoft Excel Excellent communication skills, with the ability to simplify complex analytics for senior stakeholders Bachelor's degree in a quantitative field (e.g., Computer Science, Data Analytics, Mathematics) Experience in the insurance or Lloyd's market Familiarity with IT change control processes Master's or PhD in More ❯

Role: GenAI Architect Duration: long term Roles and Responsibilities: Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI More ❯

Role: GenAI Architect Duration: long term Roles and Responsibilities: Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI More ❯

cross-functional team of developers, engineers, product managers and leadership to evolve and execute the product roadmap in a time efficient manner. What You'll Need A Master's degree or a PhD in a Mathematical or STEM discipline. Programming experience with C++, Python and/or C#. Excellent analytical and problem solving skills. Excellent verbal and written communication More ❯

performance metrics, using insights to recommend and implement improvements. Stay updated on emerging technologies and trends to maintain a competitive edge and inform strategic decisions Person Requirements: Bachelor’s degree in Computer Science, Information Technology, or a related field. 3+ years of experience in IT management or a similar leadership role, showcasing a strong track record in technology oversight. More ❯

portfolio platforms. Drive GenAI adoption internally and contribute to a GenAI champions group. Own and improve deal origination processes and models . What we're looking for Bachelor's degree in Computer Science, Statistics, Mathematics, or related field . Strong hands-on analytics experience , including working with millions of rows of data . 3+ years of demonstrable proficiency in More ❯

portfolio platforms. Drive GenAI adoption internally and contribute to a GenAI champions group. Own and improve deal origination processes and models . What we’re looking for Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field . Strong hands-on analytics experience , including working with millions of rows of data . 3+ years of demonstrable proficiency in More ❯

Qualifications Bachelor's or Master's degree in Computer Science, Mathematics or similar field (PhDs will be given preference) 7+ years of experience working with massive data Strong knowledge of public cloud (AWS) Experience with data acquisition (API calls/FTP downloads), ETL, transformation/normalization Proficiency in ETL process is mandatory Experienced building components for enterprise central data More ❯

Experience participating in ACBS version upgrades and migration projects. - Excellent troubleshooting, analytical, and problem-solving skills with a track record of resolving complex application and interface issues. - Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent practical experience. OTHER REQUIREMENTS (OPTIONAL) - Experience working within large-scale financial services environments. - Familiarity with regulatory and compliance More ❯

portfolio platforms. Drive GenAI adoption internally and contribute to a GenAI champions group. Own and improve deal origination processes and models . What we're looking for Bachelor's degree in Computer Science, Statistics, Mathematics, or related field . Strong hands-on analytics experience , including working with millions of rows of data . 3+ years of demonstrable proficiency in More ❯

Calypso , or Kondor+ . Exposure to cloud technologies (e.g., AWS , Azure ) and containerisation (e.g., Docker , Kubernetes ). Understanding of regulatory frameworks (e.g., MiFID II , EMIR ). Education: Bachelor’s degree in Computer Science, Engineering, Finance, or a related field. Relevant certifications (e.g., CFA, FRM, AWS Developer) are a plus. More ❯

Calypso , or Kondor+ . Exposure to cloud technologies (e.g., AWS , Azure ) and containerisation (e.g., Docker , Kubernetes ). Understanding of regulatory frameworks (e.g., MiFID II , EMIR ). Education: Bachelor's degree in Computer Science, Engineering, Finance, or a related field. Relevant certifications (e.g., CFA, FRM, AWS Developer) are a plus. More ❯

Office 365. (Desirable) Familiarity with the Power Platform, Python, or other analytics tools. Experience within a compliance or regulatory data environment is beneficial but not essential. Other Skills & Experience: Degree in Mathematics, Statistics, Computer Science, Engineering, or a related field — or equivalent practical experience (minimum 2 years in a data/analytics role). Strong attention to detail and More ❯

Experience with Crystal Reports , Power BI , or similar reporting tools. Knowledge of IFS Data Migration tools or IFS Connect . Awareness of Agile or ITIL methodologies. Education Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline , or equivalent practical experience. What We Offer Opportunity to grow within a global ERP team and gain hands-on More ❯

in cross-functional governance teams. Strong analytical, organisational and problem-solving abilities. Certifications such as PMP/PRINCE2/Agile are beneficial. Preferred Qualifications: Bachelor's or master's degree in computer science, Information Systems, Business Administration or equivalent. Experience within a major banking institution and exposure to global data governance programmes. Knowledge of Microsoft 365 Compliance Center or More ❯

production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship More ❯

production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship More ❯

environments and modern MLOps workflows Practical knowledge of LLM toolkits (Hugging Face ecosystem, training frameworks) Strong problem-solving abilities for complex model performance and infrastructure challenges Highly Valued Advanced degree (Master's/PhD) in Computer Science, Machine Learning, or related discipline Research publications in leading AI/ML conferences Cloud platform experience (AWS, GCP, Azure) with production ML More ❯

environments and modern MLOps workflows Practical knowledge of LLM toolkits (Hugging Face ecosystem, training frameworks) Strong problem-solving abilities for complex model performance and infrastructure challenges Highly Valued Advanced degree (Master's/PhD) in Computer Science, Machine Learning, or related discipline Research publications in leading AI/ML conferences Cloud platform experience (AWS, GCP, Azure) with production ML More ❯

with Kubernetes and/or perhaps similar container system - Strong math and analytical skills, with business acumen - Strong communication and presentation skills - Good problem-solving abilities - BSc or BA degree in Computer Science, Engineering or other relevant area More ❯

new technologies and services. Provided guidance, mentorship, and technical leadership to junior engineers and team members. Engaged with stakeholders to translate requirements into technical solutions. Qualifications & Skills: Bachelor’s degree in Computer Science, IT, or related field, or equivalent work experience. 5+ years in IT infrastructure or cloud engineering, including 3+ years hands-on Microsoft Azure experience. Expertise in More ❯

translate complex technical concepts into clear, actionable insights for stakeholders. Excellent problem-solving, analytical, and communication skills. Desirable Experience in Access Control Systems or identity/security domains. Relevant degree in Computer Science, IT, or similar. Certifications Cloud certification (e.g., AWS Solutions Architect , Azure Architect Expert , or GCP Professional Cloud Architect ). What's on Offer Hybrid working across More ❯

engineering team. Troubleshoot performance, scalability, and security issues, optimizing systems for high reliability and performance. Maintain technical documentation including system designs, API specifications, and architecture decisions. Qualifications Bachelor's degree in Computer Science, Engineering, or a related technical field. Minimum of four years of full stack software development experience in a SaaS or technology driven environment. Proficiency in backend More ❯