1 to 25 of 245 Degree Jobs in Slough

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 ❯

collaboration days at our London office. 🌱 Development Pathway – Build a strong foundation in AI engineering and progress toward senior roles as you grow. What We’re Looking For: 🎓 A degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field 🐍 Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn 🧩 Understanding of machine 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 ❯

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 ❯

Code (Terraform, ARM templates). Strong understanding of Azure security best practices, identity management (Azure AD), and networking. Preferred skills, experience, and qualities needed Education: Bachelor’s or Advanced Degree in Engineering, Computer Science, or related field. Certifications: PMP, Digital Leader (Azure, AWS, or Google Cloud). Technical Depth: Expertise in at least two areas: Salesforce Sales Cloud, Cloud 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 ❯

solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R More ❯

AI/ML, and introduce best practices into the organization. Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product More ❯

to business development, client pitches, and the organisation’s broader strategy. About you Minimum 5 years’ experience in a consultancy environment , leading delivery across complex, client-facing technical projects. Degree (or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS More ❯

proactive, ambitious approach, with the confidence to suggest business improvements. • Ability to work under pressure and turn challenges into opportunities. • International business experience (Europe & US) is a plus. • A degree in Finance, Mathematics, Economics, or a related field. If this sounds like the role for you then please apply today! Alternatively, you can refer a friend or colleague by 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 ❯

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 ❯

quants, and IT teams to identify and implement solutions. Develop automation scripts and data queries using Python and SQL. Communicate effectively with stakeholders across technical and business teams. Requirements: Degree in Engineering, Computer Science, Mathematics, or a related field. Strong programming skills in Python and SQL. Solid understanding of investment banking concepts and financial products. Excellent problem-solving and 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 ❯

technical problems to senior team members Create user documentation and training materials Conduct basic training sessions for end users Required Qualifications: The ideal candidate will hold a Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, or a related field, though we will consider candidates with an equivalent combination of education and relevant experience. From a More ❯

implementation support, troubleshooting, and performance tuning Act as a trusted advisor to clients on Power ON strategies and future enhancements Qualifications Preferred Qualifications & Experience: Bachelor’s or Master’s degree in Mathematics, Computer Science, Data Analytics, Business Intelligence, or a related field Experience in Power BI development and business intelligence consulting Experience in the finance industry Microsoft Power BI More ❯

with the latest technologies and tools in analytics engineering and contribute to the growth of Lenstra’s analytics capabilities. Skills needed for the role Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field. 4+ years of experience in data engineering, analytics engineering, or a related field. Excellent analytical and problem-solving skills, with 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 ❯

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 ❯

ensure smooth adoption and utilisation · Team Leadership: Provide guidance and mentorship to a team of business analysts and architects, fostering collaboration, knowledge sharing, and professional growth. Qualifications: · Bachelor's degree in business administration, computer science, or a related field · Minimum of 8 years of experience as a business analyst, with a proven track record of successfully contributing to the More ❯

and marketing activities of Services for strategic customers. Your background:- Educational background in Engineering/Industrial Engineering or Computer Science/Mathematics or Physics (Bachelor’s or master’s degree) 4+ years of experience in business process or IT consulting e.g., as Solution Architect, Business Analyst, Software Developer or in technical project management Specific PLM industry knowledge, e.g., from More ❯

and mentoring analysts or consultants A problem-solving mindset with a sharp eye for identifying client opportunities through data Fluency in data storytelling, data visualisation, and analytical thinking A degree in a relevant subject (e.g. maths, stats, economics, computer science) or equivalent experience Bonus points for: Direct experience in property or mortgage markets Prior work with AVMs, lending analytics More ❯

Cloud. Integration: APIs, microservices, middleware. Data: Advanced analytics and reporting tools. 🎓 Preferred Experience & Certifications Background in Presales, Solutions Consulting, or Technical Architecture. Experience in AI-enabled customer experience transformation. Degree in Computer Science, AI, or related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud, OpenAI, Hugging More ❯

and evaluation methodologies. They require candidates to offer strong knowledge of Python programming for developing and debugging AI models and would expect suitable candidates to be educated to a Degree if not Masters level (computer science, electrical engineering, or a related technical subject) though you’ll still be considered without an MSc. Background Generative AI (GenAI) is seen as More ❯

support efficient training workflows. Develop and maintain data quality metrics reporting systems. Implement best practices for data management, including versioning, security, and compliance. Expertise Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing More ❯