City of London, London, United Kingdom Hybrid/Remote Options
AMLZ Recruiting
trials. Compensation is competitive, and additional allowances apply for any agreed on-site participation. Key Responsibilities • Conduct research and hands-on development in data mining, machine learning, and applied modeling. • Own the model lifecycle: data preparation, training, evaluation, deployment, and monitoring. • Work with data engineering to ensure data quality, reliability, and efficient pipelines. • Deliver predictive, recommendation, or optimization … and uphold high standards in Python, using TensorFlow or PyTorch in production contexts. Your Profile • Ideally holding a Ph.D. in Computer Science, Electrical/Electronic Engineering, AppliedMathematics, AI/Data Science, IT (or related field), or equivalent industry experience. • Ideally 3+ years of relevant experience in AI/ML, computer vision, recommendation/optimization, or advanced … analytics (industry or research). • Proficient in Python; familiarity with data pipelines (e.g., Spark) and modern development practices. • Foundations in mathematics and algorithm design (probability, statistics, optimization, linear algebra). • Experience moving models to production (MLOps, CI/CD, monitoring) or exposure to computer vision/NLP/recommenders is a plus. • English is the working language; additional languages More ❯
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, AppliedMathematics). 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 More ❯
plus) Strong Python skills (pandas, numpy, scikit-learn, etc.) Hands-on experience with tree-based algorithms (XGBoost, LightGBM) and other ML methods Solid grasp of statistics, probability, and appliedmaths Proficiency in SQL , familiarity with NoSQL Comfortable using Git and Jupyter notebooks A practical, problem-solving mindset with a focus on clean, reliable delivery Nice to have: Experience More ❯
technical responsibility for model performance, accuracy, and deployment Collaborate with a diverse team across underwriting, product, and engineering Requirements Master’s degree in computer science, statistics, appliedmathematics, or a related discipline Prior experience (internship or full-time) in data science or climate risk modelling Strong grasp of statistical modelling and machine learning techniques Proficiency in Python More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Swissblock Technologies AG
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 appliedmathematics) 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 More ❯
consuming programming steps, helping manufacturing teams increase productivity and consistency across their workflows. We are a growing engineering-led organisation with strong expertise across software development, appliedmathematics, and real-world machining. The Opportunity We are expanding a core engineering group focused on machining strategy and automated toolpath reasoning. This role involves designing and implementing new computational … runtime considerations. Ability to collaborate effectively with a multidisciplinary engineering team. Clear communication skills and the ability to explain complex technical topics. Degree or equivalent background in Computer Science, Mathematics, Physics, Engineering, or a related technical discipline. Helpful Additional Experience Knowledge of computational geometry, CAD/CAM workflows, CNC machining, or manufacturing processes. Familiarity with geometric modeling kernels, simulation More ❯
role, requiring you onsite 3 days a week. Experience of the Systems Optimisation Engineer will include: BSc or MSc in Computer Science, Electrical/Electronic Engineering, AppliedMathematics, or related field Proficiency in software development for test automation, e.g. Python, C++, or C# Understanding of hardware test systems and instrumentation, e.g. oscilloscopes, BERTs, burst-mode testers Experience More ❯
business to best align technical solutions with the schedules and analytic needs of various strategies. This is a role for someone with a strong level of appliedmathematics or engineering with an interest in solving problems and working in a fast-paced rewarding environment. Trade Desk Operations Analyst MUST have: A at A-level Maths or equivalent More ❯
business to best align technical solutions with the schedules and analytic needs of various strategies. This is a role for someone with a strong level of appliedmathematics or engineering with an interest in solving problems and working in a fast-paced, rewarding environment. Trade Desk Operations Engineer MUST have: STEM degree from a top ranked University More ❯