London, England, United Kingdom Hybrid / WFH Options
Client Server
platform monitors network protocols in real-time, parses the commands and data structures to extract key metadata which is then analysed by in-house algorithms and allows customers to detect hackers, malware, data leakage and other malicious activity. As a Software Engineer you will focus on Linux Security components, working … you'll be working on the platform's core networking and security analysis components, developing application level proxies, data analysis and security event correlation algorithms and an incident reporting and forensics engine. There's a strong pipeline of projects with a range of complex and interesting work. Location/WFH more »
Python and SQL) and a passion for redefining data into actionable insights. Responsibilities Daily Evaluation : assess support tickets related to Machine Learning models/algorithms developed by the Data Science team. Monitoring and Maintenance : lead all aspects of alerts to ensure the ecosystem's functionality, working with models for day more »
are as follows; Python Development Working with Product team to integrate financial products of external clients Manage data flows Source Market Data Analyse Financial algorithms Create large-scale data processing pipelines to help developers build and train novel machine learning algorithms. Participate in code reviews, ensure code quality and identify more »
Senior Data Scientist (London – 2 days in office per week) Xcede are delighted to be working with one of the most innovative companies in the LegalTech space providing advanced and market-leading intelligence services. Significantly, the organisation has invested in more »
training plans for tens of thousands of active users. Machine Learning Engineer Skills: Strong Python Programming A deep understanding of designing and implementing complex algorithms, data science and machine learning You should have at least 1 year of professional experience in data science and machine learning, or hold a PhD … take ownership over features Machine Learning Engineer Nice to Haves: Experience with deployment, release cycles, or CI/CD, has experience monitoring models and algorithms in production, has experience with serverless architectures, AWS, and open-source contributions. You have a strong understanding of LLMs or training Deep Learning models Keen more »
cross-functional teams to identify AI use cases to transform gas operations and business functions (AI Mapping) - Design, develop, and implement AI models and algorithms that solve complex problems - Implement Gen AI use cases to enhance natural gas operations and optimize the Gas business functions - Design and implement AI-enabled … in AI applications and projects - Proven work experience as a Gas Processing AI Engineer or in a similar role - Strong knowledge of machine learning algorithms, neural networks, and deep learning frameworks (e.g., TensorFlow, PyTorch) - Strong knowledge of plant networks and infrastructure requirements to deploy and scale AI in gas plants more »
improvement. Data Annotation Pipelines: Develop efficient data annotation pipelines utilizing internal assessors and crowdsourcing platforms. Machine Learning Implementation: Implement and deploy appropriate Machine Learning algorithms and models. Monitoring with BI Tools: Use Business Intelligence tools to monitor key product metrics and the performance of ML models. Key Tasks: Fraud Detection more »
Newcastle Upon Tyne, England, United Kingdom Hybrid / WFH Options
Pentasia
testing and evaluation of models to ensure high-quality outputs. Requirements: Qualifications & Key Skills: Proficient in Python with a solid understanding of design patterns, algorithms, and efficient coding practices. Strong background in machine learning engineering, including data preparation, feature engineering, model training, evaluation, and deployment. Experience with LLMs for tasks more »
Golang running on cloud side and pitch servers. The position involves working on APIs, databases and asynchronous messaging. This includes exposure to machine learning algorithms for detection and classification of complex sporting events in real-time, streaming data, networking and CI/CD. Knowledge of databases (ideally SQL) Linux (cloud more »
to work on the trading team and the full lifecycle of strategies. Responsibilities: Collaborate with researchers to implement and simulate trading strategies while devising algorithms to compete in global financial markets. Design highly optimized software for simulating trading strategies, ensuring accuracy and efficiency. Development of software for managing large-scale more »
Spark Digital Trading is seeking a Senior Quant for our London-based crypto trading operation. You will: Run simulations and research ways to improve our trading, including research and quantitative analysis of portfolio construction and trade execution Perform transaction cost more »
Are you a passionate Software Developer looking to make a significant impact in the field of civil infrastructure, aviation, transportation, and operations? I We’ve partnered with an exciting business that is seeking a talented individual to join their team more »
along with front end experience (React preferred). Expertise in JavaScript/TypeScript, C# and .NET. A solid computer science foundation including data structures, algorithms, and design patterns, with a proven track record of writing high concurrency, multi-threaded, secure, scalable code. Proven experience delivering and extending highly extensible, modular more »
are under no illusion that this is a challenging role. To succeed, you'll need: A solid understanding of computer science and commonly used algorithms and optimisation techniques (usually means you've done a CS degree or equivalent) Strong hands-on experience with full-stack development (usually means you've more »
provide technical solutions. Contributing to the development of best practices and standards for data engineering within the organization. Developing and implementing data models and algorithms to support data science and machine learning initiatives . Technical Requirements Proven track record leading complex ETL and Data Infrastructure projects, as well as designing … of data modelling, data access, and data storage techniques Experience with databases, both relational as well as NoSQL Strong understanding of data structures and algorithms Familiarity with Unix systems, common command line tools e.g., grep, awk and source control tools e.g., git Familiarity with Machine Learning and Statistics a plus more »
Are you passionate about engineering? Do you want to make a difference? You could be one of our 54k+ colleagues in over 30 countries working on inspiring projects in the most innovative companies. Join us and start building tomorrow’s more »
field. Advanced knowledge of SQL and Python, including popular Data Science packages such as pandas, matplotlib, seaborn, numpy, and sklearn. Familiarity with machine learning algorithms and techniques, with a deep understanding of their underlying principles. Strong problem-solving skills and meticulous attention to detail. Excellent communication and collaboration abilities to more »
in Camden, with flexibility for working from home. Eligibility to work in the UK is required. Responsibilities research and develop novel ML architectures implement algorithms according to the high-level specifications monitor deployments set up, track experiments and provide a high-level summary to the research team Qualifications Must have more »
related field. 2-10 years of experience in software development using C++ in a high-performance, low-latency environment. Strong understanding of data structures, algorithms, and software design principles. Experience with multi-threading, concurrency, and performance optimisation techniques. Familiarity with Linux/Unix environments and shell scripting. Excellent communication and more »
is a contract role for an Artificial Intelligence Engineer at SizeSutra. As an AI Engineer, you will be responsible for developing and implementing AI algorithms and models, conducting research in pattern recognition and neural networks, and contributing to software development projects. This is a hybrid role, based in the London … with proficiency in relevant programming languages (e.g., Python, Java) Familiarity with Natural Language Processing (NLP) techniques and frameworks Ability to design and optimize AI algorithms and models Strong problem-solving and analytical skills Excellent communication and collaboration abilities Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related more »
group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser. Role Overview: Trade strategy developers design and implement algorithms and models that inform and execute trade decisions in various financial markets. They work collaboratively with trading teams to adapt strategies to market changes and … a crucial role in enhancing the firm’s trading capabilities and response to market conditions, contributing significantly to its financial performance. Key Responsibilities: Develop algorithms to automate trading processes and improve decision-making. Continuously evaluate and refine trading strategies based on performance data and market conditions. Implement robust testing regimes more »
directly with the head of trading on developing and implementing machine learning models, design of the strategies and managing the micro-market structure and algorithms in C++ and Python. Key Responsibilities: Assist in developing core algorithms and models leading directly to trading decisions Working with the machine learning lab on … technical and investment analytics support to the trading desk. Work closely with other researchers to develop and continuously improve trading strategies, and help translate algorithms into code. Skillset Requirements: Prior experience in a software engineering or quantitative role within an electronic trading business. Experience in advanced quantitative techniques to solve more »
systems development with a focus on Security development activities Min 5 years work experience in Security Development Extensive experience in encryption decryption & integrity check algorithms along with practical knowledge of cryptographic protocols & standards Hands on experience using SSL libraries for cryptographic operations & secure communications. Strong understanding of TEE architectures including more »
Mustcahe Strong proficiency in Python and AI frameworks (TensorFlow, PyTorch) Demonstrated knowledge of generative models (GANs, VAEs) and NLP Solid understanding of machine learning algorithms and data pre-processing techniques Knowledge of Cloud computing and AI deployment (AWS Cloud) Templates Led a team of Java developers to deliver high-quality more »
The Opportunity Hub UK is excited to present a unique opportunity for a talented Quant Analyst with real world trading experience to join a leading firm in London. This position offers a chance to work within a dynamic environment where more »