1 to 25 of 89 Permanent Mathematics Jobs in Slough

of software engineering principles, data structures, and algorithms. Strong problem-solving skills and ability to work in an Agile environment. Educational Criteria : 1. Bachelor’s degree in computer science, Maths, IT, statistics or physics related field. 2. You should be entitled to work in the UK with legal work authorization status. 3. Must be willing to travel within the UK More ❯

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 reinforcement learning projects. Experience working in Agile More ❯

to frame problems as solvable models. Contribute to the architecture of distributed, high-throughput systems. Conduct research to enhance optimisation frameworks and algorithm performance. Required Experience Strong foundation in mathematics, optimisation, or operations research. Demonstrated Python engineering skills (OOP, algorithms, data structures). Ability to transform theoretical models into practical solutions. Strong communication and teamwork skills. Preferred Experience MSc/ More ❯

. Optimise trading system performance and architecture across on-premise and cloud environments . Key Requirements of the Front Office Developer Master’s degree in Computer Science , Engineering , Financial Mathematics , or a similar quantitative field. 2–5 years’ experience in a software development or quantitative role. Strong programming skills in Python, C, C++, SQL , and/or C# . Solid More ❯

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 · Ability to delve deep into a More ❯

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 work ethic, and a commitment to technical More ❯

proficient in Python for modelling, data manipulation, and analysis (NumPy, pandas, SciPy, scikit-learn, etc.). Preferred Qualifications Advanced degree (MSc or PhD) in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Engineering. Experience in sports modelling, market pricing, or other high-frequency modelling environments. Working Environment Hybrid working model: 2 days per week in the London More ❯

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-focused environment). Expertise in deep learning architectures (e.g., attention More ❯

technical reports Stay up to date with the latest advancements in AI and related fields Requirement Qualifications Required: Currently enrolled in a PhD program in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field Strong interest in research and a background in machine learning or a related area Experience with programming languages such as Python, C++, or More ❯

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 role) 🐍 Strong programming skills in Python and familiarity with More ❯

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 machine learning or AI techniques Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn More ❯

engineering teams to turn data insights into product features. Deploy and monitor models in cloud environments. Candidate Profile Essential: Degree in a STEM subject (Computer Science, Data Science, Engineering, Maths, Physics, etc.) or strong analytical background. Programming experience with Python, SQL. Strong analytical and problem-solving skills. Interest in AI, natural language processing, or data visualisation. Adaptability and willingness to More ❯

changing requirements in a business driven environment Build and extend knowledge of financial instruments Minimum qualifications B.Sc. in Computer Science or similar field involving coding (e.g. physics or applied mathematics) Algorithms, data structures, complexity analysis and software design Hands-on senior level experience in Python programming Unix based systems, containerized environments and Kubernetes Working experience with databases: relational, NoSQL and More ❯

customer lifetime value and key metric models. Continuously improve analytics and model accuracy. Lead and contribute to scalable model deployment in production. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1 day onsite More ❯

with traders, researchers, and developers to understand needs and deliver tailored solutions. Requirements for an Equity Derivatives Quant: • Educational Background: Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field • Extensive knowledge surrounding equities asset class • At least 2 years experience within the financial services industry • Hands on experience with object orientated programming, using More ❯

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 and platforms. Opportunities for career growth and More ❯

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 SQL, Python, and Power BI/ More ❯

advantage. Engage with innovation partners: Collaborate with academic and research institutions to contribute to the wider quantum computing community. Candidate Profile: Advanced academic background in Quantum Computing, Physics, Engineering, Mathematics, or Computer Science (PhD or MSc). Experience (academic or early career) working on quantum algorithms, gate model computing, or hybrid quantum–classical systems. Strong technical and hands-on mindset More ❯

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 ❯

to macro asset classes like FX, Rates, or Commodities would be a plus Experience working with third-party risk platforms would be beneficial A degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline (postgraduate qualifications welcome) A proactive, detail-oriented approach with enthusiasm for learning and contributing to a fast-paced, team-focused environment Interested? If you’re More ❯

and modern data tools (Airflow, Kafka, Spark, AWS). Experience working with large, complex datasets from structured, high-quality environments — e.g. consulting, finance, or enterprise tech. STEM degree in Mathematics, Physics, Computer Science, Engineering, or a related field. Demonstrates curiosity, attention to detail, and a pragmatic, problem-solving mindset . Enjoys collaborating across technical and non-technical teams in fast More ❯

with confidence engaging at C-level. Comfortable operating in fast-paced, ambiguous environments with multiple projects running concurrently. A degree in a quantitative or technical discipline (Computer Science, Engineering, Mathematics, Economics) is expected, and an advanced degree (MBA or MSc) is advantageous. Please note: Sponsorship is not available for this role. More ❯

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, optimisation, and model evaluation 📈 Strong mathematical reasoning More ❯

internal research initiatives. About You Graduate from a top UK university (e.g. Oxford, Cambridge, Imperial, LSE, UCL, Durham, Warwick, or equivalent). Degree in a STEM discipline such as Mathematics, Physics, Engineering, or Computer Science. Strong analytical and quantitative skills with excellent attention to detail. Proficiency in Excel ; familiarity with Python, R, Power BI, or SQL is advantageous. Clear and More ❯

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 technical standpoint, candidates must demonstrate strong proficiency in More ❯