1 to 25 of 497 Degree Jobs in the Midlands

fraud practices. Excellent analytical and problem-solving skills, with high accuracy in data investigation and interpretation. Strong communication skills, capable of translating technical findings into actionable business insights. Qualifications Degree in Computer Science, Data Analytics, Mathematics MIS/CIS, AI, or Machine Learning, or equivalent experience. Recognised SQL/Database qualification (Microsoft, Oracle, or equivalent). Relevant certification in More ❯

business improvements. Excellent communication skills, able to collaborate effectively with both technical and non-technical teams. Experience of project management in system upgrades, integrations, or digital transformation projects. Qualifications Degree (or equivalent) in Manufacturing Engineering, Mechanical Engineering, Computer Science, Information Systems, or related discipline. Professional certifications in ERP (e.g., SAP, Microsoft Dynamics, Epicor, NetSuite) or BI tools (e.g., Microsoft More ❯

and experience Certifications in relevant data and analytics technologies (e.g., AWS Certified Big Data Specialty, Snowflake, Microsoft Certified: Azure Data Engineer Associate) are desirable. Bachelor's or master's degree in computer science, information systems, or a related field. Strong influencing and negotiation skills. Who we are At RS we've been solving engineering problems for over 80 years More ❯

your ideas to a wider audience Be a good problem solver Have strong time management skills, with the ability to juggle multiple projects at once Desirable: A bachelor's degree in a numeric subject (Mathematics, Statistics, etc.) or equivalent Experience working within credit risk/debt recovery industry Working knowledge of Python and/or R Experience with legal 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 ❯

prototyping, and optimization of AI algorithms. Stay up to date with the latest developments in ML/AI research and apply innovative techniques to product challenges. Requirements Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science , or a related technical field. Strong understanding of core ML concepts (supervised/unsupervised learning, neural networks, NLP, etc.). More ❯

abilities, with a strong commitment to teamwork. Analytical & Detail-Oriented: Highly organized with keen attention to detail and an analytical problem-solving mindset. Education: Bachelor’s or Master’s degree in Computer Science, Electronics, or a related technical field. Why Join Them? Work on pioneering projects that blend AI, computer vision, and telematics to shape the future of vehicle More ❯

or advisory experience within a systems integrator, technology vendor, or strategy firm. Ability to balance strategic vision with delivery pragmatism and commercial acumen. Education Bachelor's or Master’s degree in Computer Science, Engineering, Information Systems, or related fields. Certifications in cloud platforms (e.g., AWS/Azure Solutions Architect), TOGAF, or SAFe are a plus. What we believe : We More ❯

for process optimization. Proficiency in analytics platforms like Power BI or Tableau. Understanding of AI governance and ethical deployment practices. Passion for emerging AI technologies and their business applications. Degree in Computer Science, Data Science, or related field. If you have any questions, please contact Jake Norfolk-Lee at Interaction Recruitment. 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 ❯

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 ❯

will work with big data solutions, data modelling, understand the ETL pipelines and dashboard tools Required Qualifications: ● 4+ years relevant industry experience in a data engineering role and graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field ● Proficiency in writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big 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 ❯

availability, performance, and support SLAs achieved. Audit and compliance outcomes. User adoption and training engagement metrics. Data accuracy and process standardisation improvements • Vendor performance and roadmap alignment. QUALIFICATIONS . Degree or equivalent experience in Information Systems, Computer Science, or related field. ITIL, PRINCE2, or Agile certification (desirable). ERP-related certification (e.g., Microsoft Dynamics, SAP, Infor) advantageous. EXPERIENCE & SKILLS. More ❯

M . Experience with Microsoft Fabric and modern data architecture. Familiarity with CI/CD and DevOps for data engineering. A detail-oriented mindset and strong problem-solving skills. Degree in Computer Science , Engineering , or a related field. Bonus Skills: Experience with big data tools (e.g., Hadoop , Spark ). Exposure to machine learning workflows . Understanding of prompt engineering More ❯

technical guidance to less experienced engineers. Promote collaboration across international and distributed teams. Engage in system architecture, root cause analysis, and continuous integration processes What We’re Looking For: Degree in Computer Science, Software Engineering, or a related field. Professional level expertise in C++ development on Linux OS, with advanced knowledge of C++ required; experience with C, Python, or More ❯

The job holder will carry out any other duties as may reasonably be required by their line manager. Person Specification Education/Training/Qualifications Essential Professional qualification at degree level in an information related discipline or equivalent experience Evidence of continued professional development Desirable Post graduate qualification Prince 2 qualified Cloud certification Experience Essential Proven experience in the More ❯

workflows. Optimise LLM performance, fine-tuning pipelines, and monitoring inference efficiency. Collaborate with product, research, and engineering teams to integrate AI solutions into production systems. Qualifications: Bachelors or Masters degree in Computer Science, AI/ML, or a related field. 5+ years of experience in AI/ML engineering, with a focus on large language models and AI operations. More ❯

ability to balance hands-on delivery and architectural thinking. ⭐ Bonus Skills Familiarity with AVD, Nerdio, Kubernetes, or Python/Bash scripting . Understanding of encryption, compliance frameworks . 🎓 Qualifications Degree in Computer Science, IT, or a related discipline. Relevant Microsoft Azure certifications 🌟 Why You’ll Love Working there: A genuinely supportive and collaborative team environment. Continuous learning with funded More ❯

Foundation certification or working knowledge of service management best practices. Experience with networking and hardware vendors such as Ubiquiti Unifi, Watchguard, SonicWall, Draytek, Ruckus, TP-Link, and Synology. Bachelors degree in Computer Science, Information Technology, or a related discipline (preferred but not essential). Your work will mainly be from the office in Stoke and ticket-based, occasional on More ❯

and develop mitigation strategies. Tools: Have experience of using testing tools (Atlassian JIRA preferred but not essential) as long as evidence of toolsets may be demonstrated. Requirements and Skills Degree in Computer Science, Software Engineering or a related field. Experience of Windows 10/11 testing Demonstrable experience of planning end-to-end test scenarios In-depth knowledge and More ❯

compliance in social care or education settings Passion for using data to improve outcomes for children and families Education & Experience 3–5 years in BI architecture and team leadership Degree in Data Science, Computer Science, Information Systems, or related field Extensive hands-on experience with Azure Fabric, SQL warehousing, and Databricks Track record in MI/BI product development More ❯

Supports adoption through training, testing, and communication. Collaboration: Works seamlessly with project managers, developers, and vendors. Quality Assurance: Ensures solutions meet business and compliance standards. Education & Experience Bachelor’s degree in Business, IT, Accounting, or related discipline. 3–5 years’ relevant experience as a Business Analyst. Professional certification preferred (BCS BA Diploma, IIBA CBAP, or Agile BA). Why More ❯

Supports adoption through training, testing, and communication. Collaboration: Works seamlessly with project managers, developers, and vendors. Quality Assurance: Ensures solutions meet business and compliance standards. Education & Experience Bachelor’s degree in Business, IT, Accounting, or related discipline. 3–5 years’ relevant experience as a Business Analyst. Professional certification preferred (BCS BA Diploma, IIBA CBAP, or Agile BA). Why More ❯