1 to 25 of 92 Mathematics Jobs in Berkshire

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 ❯

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 Proficiency in cloud platforms Proficiency in containerization 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 ❯

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 learning algorithms and statistical modelling 📈 Strong problem-solving and More ❯

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 is also welcome A solid understanding of core machine learning concepts, data 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 ❯

skills with the ability to convey complex ideas to both technical and non-technical audiences. Advanced degree (PhD/MSc) in a relevant field (e.g., Computer Science, Statistics, Applied Mathematics). Experience working in an agile team environment. Desired qualifications, skills and experience PhD degree in a relevant field. Good working knowledge of optimisation (linear programming). Strong experience with More ❯

of clean, structured, and enriched data pipelines required for model training and inference. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Applied Mathematics, or a related field. 4+ years of experience in building and deploying AI/ML models in a business setting, ideally in a regulated or enterprise environment. Demonstrated experience taking More ❯

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 communication skills. Bonus: Fluency in French 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 ❯

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 ❯

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/VBA . Experience building or maintaining ETL/ 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 ❯

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 the ability to work on complex More ❯

Collaborate with cross-functional teams to gather requirements, design solutions, and deliver high-quality products. Qualifications Degree: Bachelor's or Master's degree in a STEM (Science, Technology, Engineering, Mathematics) discipline including, but not limited to Computer Science and Artificial Intelligence. Required Skills Vocational AI Experience: Demonstrated practical experience in AI development, potentially through internships, personal projects, or research. Cloud 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 ❯

insights. Collaborate across teams to align engineering standards and promote best practices. Streamline processes to enhance efficiency and scalability across the pricing data ecosystem. Skills: Essential: A degree in Mathematics, Computer Science, Engineering, or a related discipline. Strong proficiency in SQL and Python (or another object-oriented programming language). Demonstrated experience in designing and managing ETL/ELT pipelines. 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 ❯

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 ❯

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 a healthy work-life balance 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 ❯