novel machine learning solutions for complex financial problems Work with large-scale distributed systems and real-time data processing Develop automated decision-making systems for financial workflows Create scalable algorithms that balance accuracy, latency, and computational efficiency Collaborate with software engineers to productionize ML models The ideal candidate will have: Experience in machine learning, statistical modeling, and data analysis Experience … s degree and 5+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience developing and implementing deep learning algorithms, particularly with respect to computer vision … algorithms - Experience in professional software development Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying More ❯
HFT) platforms that drive our trading operations. About the Role: As a Graduate Software Engineer, you will be part of a dynamic team developing high-performance trading systems and algorithms that operate in real-time markets. You’ll work in a fast-paced, collaborative environment, building scalable, low-latency solutions that maximize trading efficiency. You will collaborate with experienced traders … trading strategies. Key Responsibilities: Develop, optimize, and maintain HFT systems with a focus on performance, scalability, and reliability. Collaborate with traders to translate their strategies into technical solutions. Implement algorithms and software solutions that interact with real-time financial data and trading environments. Participate in the end-to-end development process, including system design, coding, testing, and deployment. Conduct performance … or a related field. Completion of an internship in trading or experience in a trading environment. Strong programming skills in languages such as C++, Python, or Java. Understanding of algorithms, data structures, and distributed systems. Ability to solve complex problems with a high degree of technical proficiency. Passion for finance, trading, and working in a high-performance computing environment. Excellent More ❯
London, England, United Kingdom Hybrid / WFH Options
EC1 Partners
behalf of a leading global financial services firm to hire an experienced Algo Trading Developer for their Global Trading Technology team. This team builds and supports cutting-edge trading algorithms and infrastructure powering both internal trading desks and institutional clients across global equity markets. This is a hands-on role focused on designing, developing, and optimizing low-latency, high-performance … trading algorithms and order handling systems. You will collaborate closely with quants, product teams, and front-office stakeholders in a high-impact, agile environment. Key Responsibilities Design, build, and support high-availability, low-latency trading strategies and systems. Collaborate with quantitative analysts on implementing models, signals, and trading logic. Customize and adapt algorithms based on client requirements and market conditions. … United Kingdom 1 month ago London, England, United Kingdom 4 days ago Machine Learning Software Engineer, Research London, England, United Kingdom 3 months ago Machine Learning Engineer – Wearable Health Algorithms London, England, United Kingdom 2 months ago London, England, United Kingdom 4 days ago London, England, United Kingdom 4 days ago Senior Computer Vision Engineer - Photo AI London, England, United More ❯
We are a cutting-edge technology firm specializing in AI-driven solutions and media architecture, dedicated to transforming digital experiences across various platforms. Our innovative approach combines advanced AI algorithms with robust media architecture to deliver unparalleled solutions in the digital landscape. Position Overview: As a Software Development Manager specializing in AI and Media Architecture, you will play a pivotal … and Architecture: Drive the technical vision and strategy for AI and media architecture projects, aligning them with business objectives and industry trends. Architect scalable and efficient solutions using AI algorithms and media technologies, optimizing for performance and usability. Quality Assurance and Deployment: Implement best practices for software development, quality assurance, and deployment processes. Conduct code reviews, performance tuning, and troubleshooting … software development with a focus on AI technologies and media architecture. Previous experience (X years) in a leadership or managerial role, overseeing teams and projects. Deep understanding of AI algorithms, machine learning frameworks, and media processing technologies. Strong knowledge of software development methodologies, agile practices, and DevOps principles. Excellent communication skills, with the ability to articulate complex technical concepts to More ❯
when it's delivered at the doorstep. We're hiring an Operational Research Data Scientist to join our Routing squad, helping to design, test, and improve the models and algorithms that power routing across Relay's first, middle, and last mile. This role sits at the intersection of operations research and applied data science; it's well-suited to someone … on, high-impact role in a high-performing team with strong exposure to both technical architecture and network operations. What you'll do Design, prototype, and iterate on routing algorithms and models across first, middle, and last mile Work directly with data analysts to benchmark routing performance and quantify gains from proposed improvements Analyse our routes to identify inefficiencies in … routing models and algorithms, helping our team to operate with precision and maximise impact. Build models and produce analysis to optimise the daily operation Collaborate with engineers and scientists to deploy your algorithms and models into production Translate operational and commercial constraints into model or algorithm improvements Bring a scientific lens to operational design; measure rigorously, test thoughtfully What we More ❯
its applications/role/use in business intelligence/business analytics (i.e. search, entity extraction, sentiment analysis, document summarization, document categorization) Demonstrated experience researching and implementing machine learning algorithms for use in production systems Demonstrated experience developing proof of concepts of new technologies and evaluating the state of the art in machine learning algorithms for text analytics Demonstrated experience More ❯
Key Responsibilities - Design, build and deploy AI/ML models, including LLMs and generative AI - Perform data exploration, feature engineering, and model optimisation - Apply supervised, unsupervised, and reinforcement learning algorithms - Conduct large-scale data analysis across structured and unstructured sources - Develop statistical and predictive models to drive business insights - Productionise models and monitor performance, identifying drift and retraining needs - Integrate … Collaborate with cross-functional teams and support junior staff Your Profile Essential: - 5+ years' experience in AI/ML development and data science - Strong grasp of ML/AI algorithms, including LLMs and automated AI systems - Proficient in Python or R and key frameworks (TensorFlow, PyTorch, scikit-learn) - Skilled in handling large datasets, data wrangling, and statistical modelling - Comfortable working More ❯
well as buy-side clients. We are looking for an outstanding candidate to be a part of agile, highly professional team delivering client-facing, high-availability, low-latency trading algorithms and related technology. This person is responsible for developing and supporting the products and will report to the Head of Algo Development. Role Responsibilities Participate in the full lifecycle of … well as key infrastructure components such as low latency order management and order handling, rules engines and other algorithmic trading components. Work closely with Quants on implementation of trading algorithms, quantitative models, and analytical signals. Work with Product and Sales teams on client requests and algo customizations. Develop innovative solutions in a strategic, pragmatic way. Succeed in a collaborative development … and OO Design with a focus on performance, re-usability, test automation and flexibility for customizations. Experience developing trading systems (backend) for Equities, Futures or Listed Derivatives (ideally execution algorithms, prop strategies, risk trading, smart routing etc.) Experience based knowledge of Equities market microstructure and trading workflows. This includes but not limited to trading venues, order types, market data, applicable More ❯
project management, data science, technical design, and technical account management. Who we are looking for As a Senior Data Scientist, you will contribute to designing and developing data science algorithms and business solutions on a project basis, advancing the progress of the data science team. You will collaborate closely with product management, strategy, and engineering teams to enhance Choreograph’s … specialists and business teams, demonstrating your technical expertise and developing your soft skills. What you'll do Collaborate with senior data and product professionals to build simulation and optimization algorithms that enhance media efficiency. Research and apply a broad range of data science methodologies, demonstrating a questioning mindset and resolving data issues. Use Python to create predictive models, analyze data … their impact on overall delivery. Support and upskill junior colleagues. Pay great attention to detail, maintaining good documentation. Communicate effectively and collaborate well with others. Interpret complex outputs and algorithms, simplifying them into actionable steps and presenting internally. Build reports, dashboards, and visualizations. What you'll need We are looking for candidates with the following attributes: Applied data science and More ❯
responsibilities Conduct in-depth analysis of payroll data and processes to identify opportunities for ML/AI-driven automation and optimization Design, develop, and deploy scalable ML models and algorithms to automate payroll compliance checks, anomaly detection, and reporting Collaborate cross-functionally with payroll, finance, and technology teams to understand business requirements and translate them into effective AI/ML … tasks in the future. BASIC QUALIFICATIONS - Master's degree or above in computer science, mathematics, statistics, machine learning or equivalent quantitative field - Experience building machine learning models or developing algorithms for business application - Experience programming in Java, C++, Python or related language PREFERRED QUALIFICATIONS - Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer More ❯
analysis • Create, maintain, and enhance systems in support of data visualization and analytics • Automate data management, clean-up, and conditioning of data sets through the use of scripts or algorithms Required Skill Sets: • E xperience programming or scripting and debugging in one or more languages such as: Python, Javascript, R, SQL, Scala, etc. • Proficiency with data mining, mathematics, and statistical … Experience with data visualization tools, computing platforms, and applications such as: Juptyer, Elasticsearch, DataBricks, Apache Zeppelin, Kibana, and/or Tableau • Experience supporting the development of AI/ML algorithms, such as natural language processing in a production environment • Experience configuring and utilizing data management tools, such as Hadoop, MapReduce, or similar. • Ability to translate complex, technical findings into an More ❯
decision-making across the organisation. Key responsibilities for the Data Scientist – Analyse large volumes of structured and unstructured data to extract meaningful insights. Develop predictive models and machine learning algorithms to support business goals. Build and deploy data science solutions into production environments. Work closely with software engineers and data engineers to ensure end-to-end data flow and model … looking for – Proven experience in a commercial Data Science role. Strong proficiency in Python (including libraries like pandas, scikit-learn, TensorFlow or PyTorch). Solid understanding of machine learning algorithms, data modelling, and statistical analysis. Hands-on experience working with large datasets and data wrangling techniques. Familiarity with cloud-based environments, particularly AWS. Comfortable with SQL and working with relational More ❯
Development (R&D) program at the National Air and Space Intelligence Center (NASIC). You'll play a pivotal role in developing, integrating, and testing advanced ISR applications and algorithms to enhance U.S. Air Force and Intelligence Community capabilities. This position supports the Non-Traditional Collection Technology Initiative (NCTI) under the NOVASTAR contract, focused on enabling next-generation long-range … and passive RF intelligence collection. Key Responsibilities: • Research, design, and develop algorithms for signal processing and data extraction from novel collection systems • Develop and deliver cloud-ready software applications supporting ISR missions • Conduct systems integration, testing, and validation in secure environments • Document and deliver Interface Control Documents (ICD), Software Design Descriptions (SDD), and Software Test Plans (STP) • Collaborate with NASIC … Science, Physics, or related technical field • 7+ years' experience in software development and/or signal processing • Strong background in R&D for defense or intelligence applications • Experience developing algorithms for RF, ELINT, SIGINT, or related data • Proficiency in at least one major programming language (e.g., Python, C++, Java) • Familiarity with cloud environments (AWS, Azure) and containerized development (Docker, Kubernetes More ❯
clear: to lead through innovation. Join the transformation and innovate with us. OVERVIEW: BlueHalo is seeking Data Scientists who will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data … generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows. You'd like to do this: Produce data visualizations that provide insight into dataset structure and meaning Collaborate with subject matters experts More ❯
The role We are building the sportsbook of tomorrow at FDJ United. Machine learning algorithms and AI are at the heart of how we will deliver an unrivalled customer experience and unlock operational efficiencies through automation. Our Data Science (DS) and Machine Learning Engineering (MLE) teams are currently focused on delivering Personalisation products, with future scope to develop sportsbook specific … in sports personalisation & recommendations. Excellent interpersonal skills, able to explain complex concepts to stakeholders. Ability to coach, support and mentor more junior team members. Advanced knowledge of machine learning algorithms and general statistical methodologies and theory. Advanced knowledge of AB testing and design of experiment. Advanced Python and SQL skills, experience using Spark for processing large datasets. Understanding of software More ❯
well as buy-side clients. We are looking for an outstanding candidate to be a part of agile, highly professional team delivering client-facing, high-availability, low-latency trading algorithms and related technology. This person is responsible for developing and supporting the products and will report to the Head of Algo Development. Role Responsibilities Participate in the full lifecycle of … well as key infrastructure components such as low latency order management and order handling, rules engines and other algorithmic trading components. Work closely with Quants on implementation of trading algorithms, quantitative models, and analytical signals. Work with Product and Sales teams on client requests and algo customizations. Develop innovative solutions in a strategic, pragmatic way. Succeed in a collaborative development … and OO Design with a focus on performance, re-usability, test automation and flexibility for customizations. Experience developing trading systems (backend) for Equities, Futures or Listed Derivatives (ideally execution algorithms, prop strategies, risk trading, smart routing etc.) Experience based knowledge of Equities market microstructure and trading workflows. This includes but not limited to trading venues, order types, market data, applicable More ❯
selection and tuning, offline and online evaluation, deployments and maintenance Partner with stakeholders to propose innovative data products that leverage Trainline's extensive datasets and state of the art algorithms Create the tools, frameworks and libraries that enable the acceleration of our ML products delivery and improve our workflows Take an active part in our AI and ML community and … rigorous learning and experimentation We'd love to hear from you if you Have an advanced degree in Computer Science, Mathematics or a similar quantitative discipline Understanding of NLP algorithms and techniques and/or experience with Large Language Models (fine tuning, RAG, agents) Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have … to have Experience with LangGraph or LangChain Experience with transport industry and/or geographical information systems (GIS) Experience with cloud infrastructure Experience with graph technology and/or algorithms Our technology stack Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, LangChain/LangGraph, TensorFlow, etc ) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOps: Terraform More ❯
Energy markets. She or he is based in London, Houston, Singapore or Bangalore. The analyst bridges seven areas: Assessment that a Model is “fit for purpose” Analysis of Model algorithms applying different validation techniques which include using challenger models internally built or procured externally Review of process underlying a Model including inputs and outputs flows Determination of adjustments to Model … along with the Group manager will intervene on a Model at 3 levels: The Scientist Senior Analyst will investigate the conceptual underpinnings of the Model and audit the embedded algorithms with a view to identifying limitations to the model and remediations The Engineer Analyst will consider the cases where the Model is applied and formulate test scripts to verify that … Validation specialists also participate in educational efforts with benefits across RMF and the firm. The skills required for the tasks include: The application of advanced financial mathematics to formulate algorithms used for valuation and risk measurement of exotic derivatives and assets such as Natural Gas & Oil Storage, LNG & Freight Cargos, Transport, Transmission and Power Generation as well as calculate with More ❯
native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving: Strong analytical More ❯
Cloud- technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving: Strong analytical More ❯
native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving: Strong analytical More ❯
automate tasks. By improving machine learning technologies, AI Engineers enhance software capabilities and contribute to innovative solutions across various applications. Duties & Responsibilities Design, develop, and implement AI/ML algorithms and models to solve business challenges. Collaborate with cross-functional teams to integrate AI solutions into existing systems and applications. Research and stay up-to-date with the latest advancements … or Keras. Proficiency in programming languages like Python, R, or Java. Hands-on experience with deep learning models, NLP, computer vision, or reinforcement learning. Strong understanding of data structures, algorithms, and statistics. Experience with cloud platforms (AWS, GCP, Azure) for deploying AI models. Knowledge of MLOps tools and practices for model deployment and monitoring. Ability to work with large datasets More ❯
data science, and software engineering, with the ability to design, develop, and implement robust machine learning models and systems in production. Key Responsibilities Lead the development of machine learning algorithms and models for behavioural modeling and cybersecurity attack detection. Collaborate with cross-functional teams to understand requirements and translate them into effective machine learning solutions. Conduct exploratory data analysis, feature … practices within the organization. Provide mentorship and guidance to junior team members. Required Skills: Proven experience as a Machine Learning Engineer or similar role. Strong knowledge of machine learning algorithms, statistics, and predictive modeling Proficiency with Python and machine learning toolkits like pandas, scikit-learn, and optionally pytorch/tensorflow. Experience with machine learning operations (MLOps) and productionization of ML More ❯
Grey Matters Defense Solutions specializes in software development and solutions, data analytics algorithms, and innovative remote sensing technologies and operations, with senior-level personnel formerly from DIA, NRO, DARPA, and the US Armed Forces. Grey Matters Defense Solutions differentiates itself by combining its subject matter experts, analysts, software engineers, and its data scientists to create unique artificial intelligence algorithms and More ❯
native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving: Strong analytical More ❯
