building, and deploying machine learning models and systems in production. You'll work at the intersection of data science and software engineering, translating ML algorithms into scalable production systems on AWS. Key Responsibilities: Design, develop, and deploy machine learning models into production Build scalable ML pipelines and infrastructure on AWS More ❯
and analytics that provide actionable insights into improving PnL. Responsibilities: Implement trading strategies and execution performance across various asset classes. Implement statistical models and algorithms, Collaborate with traders and quantitative researchers to identify areas for improvement. Provide quantitative development expertise and support to traders and portfolio managers on all front More ❯
and analytics that provide actionable insights into improving PnL. Responsibilities: Implement trading strategies and execution performance across various asset classes. Implement statistical models and algorithms, Collaborate with traders and quantitative researchers to identify areas for improvement. Provide quantitative development expertise and support to traders and portfolio managers on all front More ❯
Identify and manage what your solution does and does not know. Maintain detailed, verifiable logs of every decision. Qualifications: Previous experience working with complex algorithms and data structures. Experience in building well-tested code for production and a demonstrable history of advocating for software quality and evangelising best practices. Experience More ❯
of caching, paging and system calls. (Knowledge of the execution pipeline in a modern CPU is even better) Knowledge of pipelines and networking Common algorithms and data structures and their performance trade-off. Work independently designing complex systems that need to run uninterrupted for long periods of time. Practical experience More ❯
office directly. The successful candidate will collaborate with traders, hardware experts, and software engineers to develop robust solutions that maximize the potential for advanced algorithms as the client scales. Key Competencies: The ideal candidate would have hands-on experience with real-time, low-latency ML pipelines in high-performance environments. More ❯
office directly. The successful candidate will collaborate with traders, hardware experts, and software engineers to develop robust solutions that maximize the potential for advanced algorithms as the client scales. Key Competencies: The ideal candidate would have hands-on experience with real-time, low-latency ML pipelines in high-performance environments. More ❯
development. Deep understanding of PyTorch internals and other major ML frameworks. Experience optimizing deep learning performance on accelerator hardware. Solid knowledge of deep learning algorithms and compute patterns. Strong programming skills in C++, CUDA, or OpenCL. Background in performance profiling and optimization. BS/MS in Computer Science, Electrical Engineering More ❯
modelling and analysis. Databricks: Proficiency with Databricks platform for big data processing and analytics. Machine Learning: Strong background in developing and deploying machine learning algorithms and models. Python: Excellent coding skills in Python, particularly for data science and machine learning applications. This role is ideal for someone who thrives in More ❯
and scalable pipelines for DNA methylation and multi-omics data Apply machine learning to support personalised health recommendations Develop automated reporting systems and proprietary algorithms Collaborate closely with wet lab scientists, product teams, and leadership Build and mentor a high-performing computational team Requirements: PhD in Computational Biology, Bioinformatics, Genomics More ❯
and scalable pipelines for DNA methylation and multi-omics data Apply machine learning to support personalised health recommendations Develop automated reporting systems and proprietary algorithms Collaborate closely with wet lab scientists, product teams, and leadership Build and mentor a high-performing computational team Requirements: PhD in Computational Biology, Bioinformatics, Genomics More ❯
patterns. Building risk-management and performance-tracking tools. What You'll Need Strong academic background in STEM discipline Strong computer science fundamentals in Design, Algorithms & Data Structures Strong low latency C++ engineering skills Ability to multitask and produce high quality code. Strong verbal and written communication skills. More ❯
and analysis. Data Bricks: Proficiency with Databricks platform for big data processing and analytics. Machine Learning: Strong background in developing and deploying machine learning algorithms and models. Python: Excellent coding skills in Python, particularly for data science and machine learning applications. This role is ideal for someone who thrives in More ❯
patterns. Building risk-management and performance-tracking tools. What You'll Need Strong academic background in STEM discipline Strong computer science fundamentals in Design, Algorithms & Data Structures Strong low latency C++ engineering skills Ability to multitask and produce high quality code. Strong verbal and written communication skills. More ❯
Mid-Frequency Sharpe Ratio ≥ 6.0 for High-Frequency Strong proficiency in Python , C++, or other relevant languages. Deep understanding of AI and machine learning algorithms , including time series modeling, feature engineering, and model interpretability. Experience with market microstructure , order book dynamics, and execution strategies. Background in quantitative research , algorithmic trading More ❯
Mid-Frequency Sharpe Ratio ≥ 6.0 for High-Frequency Strong proficiency in Python , C++, or other relevant languages. Deep understanding of AI and machine learning algorithms , including time series modeling, feature engineering, and model interpretability. Experience with market microstructure , order book dynamics, and execution strategies. Background in quantitative research , algorithmic trading More ❯
Developers: Core Java Developing software from scratch WITHOUT the use of frameworks e.g. Spring Multithreading TDD, CI/CD, Paired-programming environment Data structures, algorithms, threads Working in a modern FinTech environment e.g. startup is a plus An interest in the financial sector, FX and trading If you are looking More ❯
in quantitative analysis, statistics, and financial modeling. Proficiency in programming languages such as Python, R, or C++. In-depth knowledge of market microstructure, trading algorithms, and high-frequency trading (HFT). Strong analytical skills and experience with back-testing and simulation frameworks. Excellent risk management and portfolio optimization skills. Ability More ❯
london, south east england, united kingdom Hybrid / WFH Options
Understanding Recruitment
Developers: Core Java Developing software from scratch WITHOUT the use of frameworks e.g. Spring Multithreading TDD, CI/CD, Paired-programming environment Data structures, algorithms, threads Working in a modern FinTech environment e.g. startup is a plus An interest in the financial sector, FX and trading If you are looking More ❯
identify root causes, and develop alternative measurement strategies. Build predictive models for operational drivers and metrics to aid planning. Apply data/text mining algorithms to identify insights for operational optimization. Basic Qualifications At least 1 year of experience in tax, finance, or a related analytical field. Over 2 years More ❯
ll collaborate with cross-functional teams to support strategy, enhance donor engagement, and optimize campaigns. With your experience in R/Python, machine learning algorithms, and data visualisation, you will play a key role in shaping the future of the charity's data-driven approach. This is an exciting opportunity More ❯
london, south east england, united kingdom Hybrid / WFH Options
Understanding Recruitment NFP
ll collaborate with cross-functional teams to support strategy, enhance donor engagement, and optimize campaigns. With your experience in R/Python, machine learning algorithms, and data visualisation, you will play a key role in shaping the future of the charity's data-driven approach. This is an exciting opportunity More ❯
understand their requirements and translate them into effective technical solutions. Manage the ingestion and processing of large volumes of data efficiently and securely. Implement algorithms and models, including linear regressions and machine learning techniques, to support trading strategies. Utilize HPC and distributed systems to ensure high performance, scalability, and reliability More ❯
What We’re Looking For: 🔹 Strong Python skills – You know your way around TensorFlow, PyTorch, or Hugging Face. 🔹 Experience with LLMs, NLP, or recommendation algorithms . 🔹 Familiarity with MLOps, APIs, and scalable cloud solutions . 🔹 Passion for AI-powered personalisation and making tech feel more human. 🔹 A builder’s mindset More ❯
