1 to 25 of 1,023 Degree Jobs in the Thames Valley

tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or More ❯

Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. More ❯

stakeholders on Generative AI capabilities and applications . Security and Compliance: Ensure all AI solutions comply with security best practices and AI governance frameworks . Essential Skills & Experience: Advanced degree (PhD preferred) in Engineering, Data Science, Statistics, Computer Science, Physics, or related field . Minimum 5+ years of experience in at least two AI domains such as NLP, NLG More ❯

Altair Panopticon, Power BI, Tableau). Experience with Python and analytical libraries such as Pandas and NumPy. Clear communication, analytical mindset, and problem-solving ability. Education & Experience Master’s degree (or equivalent) in Computer Science , Mathematics , Physics , or Engineering . Proven experience (3–8 years) working on KDB+/Q projects, ideally within a financial or trading environment. More ❯

and process improvements Supporting business development activities including involvement in new client pitches What we're looking for Strong academic background with a minimum bachelor’s or master’s degree in a STEM subject (Mathematics, Computer Science or Engineering) Experience working in a data science or consulting role In-depth experience of working with Python and Pandas An entrepreneurial More ❯

guidelines. Ideal Candidate Profile: Proven track record of delivering data science solutions into production environments at scale. 8+ years in data science, including 3+ years in leadership roles. Advanced degree (Master’s or PhD) in Data Science , Statistics , Machine Learning , Computer Science , Mathematics , or Physics . Deep expertise in supervised/unsupervised learning, time series forecasting, deep learning, and More ❯

clear, comprehensive documentation for all developed features and integrations. Support: Provide technical support and guidance to end-users and stakeholders. Required Qualifications Educational Background: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. Technical Skills: Proficiency in programming languages such as C# , Python , or JavaScript . Experience with Microsoft Azure , AI , and machine More ❯

to professional development and wellbeing. 💰 Competitive Package – Performance-based bonus, private medical insurance, generous pension scheme, 30 days’ annual leave, and extensive wellbeing benefits. What We’re Looking For: 🎓 Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field (Master’s preferred) 💼 Some proven industry experience applying AI or machine learning (internship, placement, or full-time More ❯

forecasting the overall delivery · Stakeholder Management and Leadership · Decision-making and Problem Solving Your Profile: · Minimum years of experience in a related Financial Services discipline with a bachelor’s degree in economics, Computer Science, Mathematics or Scientific discipline from a top university · Knowledge of Greeks (e.g. Delta, Gamma, Vega) & Financial Derivatives · Knowledge of VaR, FRTB and Stress testing calculation More ❯

of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer Science, Engineering, Mathematics, or a related STEM discipline. Experience in professional services or legal environments is advantageous but not essential. Why Join? The firm believes in maintaining More ❯

insights to internal and external stakeholders (mandatory) Familiarity with CRM systems and campaign tracking tools (mandatory) Experience in training and supporting junior team members (highly desirable) Qualifications Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Data Science, Economics, Marketing Analytics, or related discipline Professional certifications in data analytics, forecasting, or marketing analytics (e.g., Google Analytics, Microsoft More ❯

Ability to translate regulatory requirements into technical specifications and automated controls. Experience in delivering solutions in Agile environments and working with cross-functional teams. Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field. Desirable skills/knowledge/experience: Experience in RegTech or working with compliance and audit teams in a banking More ❯

Salesforce with Marketing Automation tools or other business systems Prior exposure to sales operations or revenue operations Experience in a scale-up or high-growth environment Education/Qualifications: Degree in a STEM discipline (e.g. Mathematics, Statistics, Computer Science, Engineering, Physics, etc.) Additional Requirements: Candidates should also be highly organised and motivated individuals with effective communication skills, a good More ❯

analytics, and decision support Contributing to internal R&D and staying current with advancements in AI and machine learning What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Artificial Intelligence, Computer Science, Data Science, Engineering, Mathematics, or a related discipline Demonstrated project experience (academic research, dissertation work, or personal projects) applying More ❯

and technical specifications. Share knowledge and expertise through training sessions, presentations, and technical workshops. Define and execute an integration roadmap and strategy. Qualification & Experience Bachelor's or Master's degree in Computer Science, Information Technology, or related field Certifications in relevant technologies or architectural frameworks (Microsoft Azure and Software AG are preferred). 7+ years of relevant work experience More ❯

as it scales. A flat, collaborative structure with direct access to senior stakeholders. Competitive compensation and rapid career progression in a high-performing environment. Required Skills & Experience Bachelor’s degree in a STEM field (Computer Science, Engineering, Maths, Physics). 2–4 years’ experience in a technical, data, or engineering-focused role. Strong skills in Python, SQL, and Excel More ❯

in Microsoft Office. Excellent attention to detail and strong documentation skills. Outstanding verbal and written communication skills. Strong organizational and interpersonal skills. Exceptional problem-solving abilities. Education and Experience: Degree in Computer Science or related field. 7+ years of software development experience using Python or any other OOP languages. Clearwater Analytics (NYSE: CWAN) is transforming investment management with the More ❯

in team meetings, shadowing engineers, designers, and other team members to gain insight into project requirements and contribute where possible. Essentials : Educational Background: Currently pursuing or recently completed a degree in Computer Science, Software Engineering, or a related field. API Understanding: Awareness of RESTful API design principles and some exposure to server-side development concepts. Introduction to AI and More ❯

in reporting processes, tools, and methodologies. Partner with data governance and security teams to ensure access control, audit, and privacy protocols are followed. Essential Skills, Qualifications & Experience: Bachelor's degree in Information Systems, Computer Science, Finance, or a related field (Master's preferred). 6+ years of experience in enterprise reporting roles, with at least 3 years focused on More ❯

a slipped timeline or a system incident, and coordinate a resolution. Adaptable and calm under pressure when balancing fast delivery with reliability. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Prior experience as a software engineer, SRE/DevOps engineer, or similar technical role is highly valued and will help deeply More ❯

person collaboration at our London office 🌱 Learning Pathway – Gain exposure to advanced ML frameworks and progress toward senior engineering roles as you grow What We’re Looking For: 🎓 A degree in Artificial Intelligence, Computer Science, Mathematics, or a related field 🐍 Proficiency in Python and experience with frameworks such as PyTorch , NumPy , or Scikit-learn 🧩 Understanding of machine learning algorithms More ❯

a LeetCode-style technical challenge to evaluate: Algorithmic problem-solving Data structures and computational efficiency Code quality and optimisation under time constraints Ideal Candidate Profile Academic and Professional Background Degree/Masters/PhD in Computer Science, Data Science, or a related discipline Proven experience as a Back-End Developer/Engineering Lead/CTO in data-heavy environments More ❯

Kubernetes, and Terraform to deploy and scale applications Collaborate with researchers and engineers to streamline ML operations Handle incidents, troubleshoot issues, and improve system robustness Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3 years professional experience in a cloud-related role, preferred ML-related. Strong coding skills in Python and SQL More ❯

. Strong experience with SQL, Python, R, PowerBI, Tableau, or similar tools. Excellent project management and team leadership skills. Strong problem-solving, attention to detail, and client communication skills. Degree in Computer Science, Data Science, Mathematics, Statistics, or related field (Master’s preferred). Why Apply: Work on high-impact projects with leading organisations. Access to cutting-edge technologies More ❯

and transformation processes Building dashboards and visualisations for business users Translating business needs into technical solutions Collaborating with consultants and stakeholders across industries What we’re looking for: A degree in Data Science, Computer Science, Engineering, Mathematics, Physics, or other STEM fields Experience with SQL, Python, or similar tools Strong communication and problem-solving skills Interest in business and More ❯