301 to 325 of 5,513 Degree Jobs in the UK

with colleagues to address complaints and incidents appropriately lead the learning from such events to ensure that learning is achieved across the RPA team. Person Specification Qualifications Essential Relevant degree or equivalent qualification or significant experience of working at degree level Evidence of continued professional development Blue Prism Cloud practitioner status Additional Blue Prism Certification Desirable Management/ More ❯

RDF, OWL, SPARQL). Awareness of machine learning and how probabilistic and deterministic reasoning can complement each other. Domain experience in financial services, insurance, healthcare, or other regulated industries. Degree in a logic- or analytics-oriented discipline such as Cognitive Science, AI, Mathematics, Information Systems, or Engineering. More ❯

evaluation metrics, and experiment design. Exposure to MLOps concepts, cloud platforms (e.g., Azure), and GenAI tools is a strong plus. Structured thinking, strong problem-solving, and clear communication skills. Degree (2:1 or equivalent) in a numerical discipline or relevant industry experience. Don’t miss this opportunity to take a key role in shaping data-driven decisioning within a More ❯

an amazing career. You’ll begin with a level 4 Applied Data and AI Specialist apprenticeship. Do well, and successfully complete this, and you’ll move on to a degree apprenticeship, deepening your skills while growing your career. Role SQL and advanced data joins (yes, the fun kind) Predictive modelling & forecasting (basically, time travel with stats) Data visualisation & storytelling More ❯

passport and full UK driving licence are required. Travel expenses are covered. Please note: this position may require Security Clearance in the future. Requirements: Bachelor’s or Master’s degree in Computer Science, Electronics, Telecommunications, or a related field. Demonstrable experience in both manual and automated testing of complex or embedded systems. Solid understanding of test planning, defect management More ❯

data engineers to deploy production-grade code Mentor others and help embed data science best practices across the team What we're looking for Strong quantitative background; Master’s degree in computer science, mathematics, engineering, physics, machine learning, or a related field. Ph.D. is a plus. Proficiency in Python and ability to write clean, production-quality code. 5+ years More ❯

and automation. About You You do not need prior experience, but you should have a strong interest in data and a willingness to learn. You will likely have: A degree in Finance, Economics, Mathematics, Statistics, or a related field. Confident Excel skills and strong attention to detail. Curiosity about tools such as Power BI, SQL, Python, or R. An More ❯

an amazing career. You’ll begin with a level 4 Applied Data and AI Specialist apprenticeship. Do well, and successfully complete this, and you’ll move on to a degree apprenticeship, deepening your skills while growing your career Role SQL and advanced data joins (yes, the fun kind) Predictive modelling & forecasting (basically, time travel with stats) Data visualisation & storytelling 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 ❯

industrial or IoT data Knack/experience of consultancy services Qualifications Previous hands-on experience in Data Science, delivering machine learning models to production Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or Engineering - or equivalent Proficiency in Python and relevant data science libraries (NumPy, pandas, scikit-learn etc.) Experience with SQL, Power BI More ❯

with external systems (desirable). Strong analytical, problem-solving, and communication skills. Experience working in agile or hybrid project environments and collaborating with cross-functional teams. Qualifications Bachelor’s degree in Information Technology, Computer Science, or related field (or equivalent experience). Oracle Cloud ERP certification preferred (e.g., Oracle Cloud Financials, SCM, or Data Management). Project Management or More ❯

What We're Looking For Required: 7+ years of experience in a quant/ML engineering or research role within a financial institution, hedge fund, or tech firm Advanced degree (PhD or Master's) in Computer Science, Mathematics, Physics, Engineering, or related discipline Strong expertise in modern ML techniques: time-series forecasting, deep learning, ensemble methods, NLP, or RL More ❯

infrastructure-as-code tools (Terraform, ARM, Bicep). Understanding of monitoring and logging frameworks . Basic knowledge of UI frameworks for simple front-end interfaces. Education & Certifications Bachelor’s degree in Computer Science, IT, or related field . Cloud certifications such as AWS Solutions Architect, Azure Administrator, or Google Cloud Professional are a plus. Why Apply? Work with a More ❯

practice standards working with international cross-functional engineering, production, and IT teams to drive successful continuous improvement initiatives and digital transformation projects. EDUCATION & EXPERIENCE Bachelor’s or Master’s degree in engineering, Computer Science, related technical discipline or equivalent professional experience. Proven industrial experience in digital manufacturing, automation and AI/ML analytics in advanced production environments. Hands-on More ❯

attention to detail. Excellent communication and collaboration skills within a global, cross-functional environment. Fluency in English (written and spoken). Preferred Qualifications & Skills Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Engineering, or a related technical field. Advanced proficiency in Excel and familiarity with data-handling tools such as Power BI, Python, Dataiku , or More ❯

Experience working with Azure and Microsoft data tools including Power BI , Azure Foundry , and Fabric . Excellent communication skills and ability to engage effectively with technical and business stakeholders. Degree in Computer Science, Information Systems, or a related discipline (or equivalent experience). Personal Attributes: Highly self-motivated and detail-oriented with strong analytical thinking. Confident decision-maker with 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 ❯

in DevOps tools and methodologies such as CI/CD, Docker, Kubernetes. Experienced with agile methodologies and tools like Jira and GitHub. Preferred Qualifications: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. Experience thriving in fast-paced, agile environments. Why Join Us? Be part of a forward-thinking company shaping the future More ❯

IT, and CRM to drive data-informed decisions. Serve as a trusted expert on BI tools, ensuring their effective use and continuous improvement. The Must Haves Education: Bachelor's degree (Honours preferred) in an IT-related discipline. Experience: Proven background in Business Intelligence or Data Analytics, ideally within supply chain or operations. Technical Skills: Alteryx - Data model design, advanced More ❯

Significant experience in business reporting and BI development. Proven track record implementing effective reporting solutions. Proficiency in SQL and data modelling . Strong communication and stakeholder management skills. Desirable: Degree in Computer Science or related discipline. Experience with SAP Business Objects . Microsoft Power BI certification . Why Join: Be part of a team dedicated to improving lives through More ❯

with the latest industry trends and technologies •Troubleshooting and debugging issues to ensure smooth user experiences •Participating in code reviews to maintain code quality and consistency Qualifications & Skills: •A degree in computer science, software engineering, or a related field •Proficiency in React.js and its core principles •Strong JavaScript, TypeScript HTML5, and CSS3 skills •Experience with popular React.js workflows (such More ❯

in machine learning, deep learning, and MLOps to continuously improve AI capabilities. Ensure compliance with data privacy, security, and operational safety standards. Essential Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field. Minimum 3+ years of professional experience as an ML Engineer, Data Scientist, or in a similar role. Demonstrable More ❯

IT team focused on delivering resilient and innovative infrastructure solutions. This permanent role is based onsite in Blackbushe, offering a collaborative and supportive work culture. Candidate Profile Bachelor’s degree in Computer Science, Information Technology, or equivalent experience. 7+ years of experience in IT infrastructure engineering or systems administration. Strong hands-on expertise with cloud platforms (AWS, Azure, or More ❯

and BI functions. Support future integration of a dedicated Data & Reporting Analyst role, planned for the following year. Own data privacy and security aspects from a technology standpoint. Qualifications Degree in Computer Science, Data Engineering, or a related quantitative field. 5–8 years of experience in data engineering or infrastructure development. Experience in the financial services or fintech sector More ❯

tools. Solid grasp of relational databases, data modelling, and data storage structures. Experience working 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 ❯