751 to 775 of 1,464 Algorithms Jobs

decisions Experience required 7+ years’ experience in cybersecurity, ideally at architecture or consultancy level Proven expertise in AI/ML security architecture and threat modelling Deep understanding of AI algorithms, data security, and adversarial machine learning Strong grasp of ethical AI frameworks, governance, and compliance standards Professional certifications such as CISSP, CISM, TOGAF, or SABSA preferred Cloud security experience (Azure More ❯

decisions Experience required 7+ years’ experience in cybersecurity, ideally at architecture or consultancy level Proven expertise in AI/ML security architecture and threat modelling Deep understanding of AI algorithms, data security, and adversarial machine learning Strong grasp of ethical AI frameworks, governance, and compliance standards Professional certifications such as CISSP, CISM, TOGAF, or SABSA preferred Cloud security experience (Azure More ❯

decisions Experience required 7+ years’ experience in cybersecurity, ideally at architecture or consultancy level Proven expertise in AI/ML security architecture and threat modelling Deep understanding of AI algorithms, data security, and adversarial machine learning Strong grasp of ethical AI frameworks, governance, and compliance standards Professional certifications such as CISSP, CISM, TOGAF, or SABSA preferred Cloud security experience (Azure More ❯

be eligible and willing to go through clearance 2+ years of experience in applied AI engineering, data engineering, or backend platform work Strong experience in Python capable of implementing algorithms and working with APIs, data structures, and logic flows Good understanding of machine learning concepts , LLMs , tokenisation , and vector-based semantic search Experience working with vector databases (e.g. Chroma, Weaviate More ❯

be eligible and willing to go through clearance 2+ years of experience in applied AI engineering, data engineering, or backend platform work Strong experience in Python - capable of implementing algorithms and working with APIs, data structures, and logic flows Good understanding of machine learning concepts , LLMs , tokenisation , and vector-based semantic search Experience working with vector databases (e.g. Chroma, Weaviate More ❯

be eligible and willing to go through clearance 2+ years of experience in applied AI engineering, data engineering, or backend platform work Strong experience in Python — capable of implementing algorithms and working with APIs, data structures, and logic flows Good understanding of machine learning concepts , LLMs , tokenisation , and vector-based semantic search Experience working with vector databases (e.g. Chroma, Weaviate More ❯

be eligible and willing to go through clearance 2+ years of experience in applied AI engineering, data engineering, or backend platform work Strong experience in Python — capable of implementing algorithms and working with APIs, data structures, and logic flows Good understanding of machine learning concepts , LLMs , tokenisation , and vector-based semantic search Experience working with vector databases (e.g. Chroma, Weaviate More ❯

be eligible and willing to go through clearance 2+ years of experience in applied AI engineering, data engineering, or backend platform work Strong experience in Python capable of implementing algorithms and working with APIs, data structures, and logic flows Good understanding of machine learning concepts , LLMs , tokenisation , and vector-based semantic search Experience working with vector databases (e.g. Chroma, Weaviate More ❯

be eligible and willing to go through clearance 2+ years of experience in applied AI engineering, data engineering, or backend platform work Strong experience in Python — capable of implementing algorithms and working with APIs, data structures, and logic flows Good understanding of machine learning concepts , LLMs , tokenisation , and vector-based semantic search Experience working with vector databases (e.g. Chroma, Weaviate More ❯

microstructure and electronic execution dynamics. Key Responsibilities Engineer low-latency, multithreaded Java applications powering Rates pricing and execution. Partner with quants to integrate and enhance pricing models and execution algorithms . Develop and tune smart order routers, auto-quoting, and market-making components. Profile and optimise Java systems for throughput, GC efficiency, and predictable latency . Implement real-time monitoring More ❯

microstructure and electronic execution dynamics. Key Responsibilities Engineer low-latency, multithreaded Java applications powering Rates pricing and execution. Partner with quants to integrate and enhance pricing models and execution algorithms . Develop and tune smart order routers, auto-quoting, and market-making components. Profile and optimise Java systems for throughput, GC efficiency, and predictable latency . Implement real-time monitoring More ❯

microstructure and electronic execution dynamics. Key Responsibilities Engineer low-latency, multithreaded Java applications powering Rates pricing and execution. Partner with quants to integrate and enhance pricing models and execution algorithms . Develop and tune smart order routers, auto-quoting, and market-making components. Profile and optimise Java systems for throughput, GC efficiency, and predictable latency . Implement real-time monitoring More ❯

microstructure and electronic execution dynamics. Key Responsibilities Engineer low-latency, multithreaded Java applications powering Rates pricing and execution. Partner with quants to integrate and enhance pricing models and execution algorithms . Develop and tune smart order routers, auto-quoting, and market-making components. Profile and optimise Java systems for throughput, GC efficiency, and predictable latency . Implement real-time monitoring More ❯

microstructure and electronic execution dynamics. Key Responsibilities Engineer low-latency, multithreaded Java applications powering Rates pricing and execution. Partner with quants to integrate and enhance pricing models and execution algorithms . Develop and tune smart order routers, auto-quoting, and market-making components. Profile and optimise Java systems for throughput, GC efficiency, and predictable latency . Implement real-time monitoring More ❯

plus. Familiarity with dating app monetization strategies (subscriptions, in-app purchases, etc.) is a plus. Responsibilities: Lead a creative product strategy for key dating app features, such as matching algorithms, profile discovery, and in-app communication tools. Communicate this strategy effectively to stakeholders. Prioritize and manage R&D resources within an Agile/Scrum framework, ensuring alignment with product goals More ❯

growth driven, excited by the opportunity to be part of a small, experienced team helping grow Simple Machines UK. Have experience with data led decisioning products or machine learning algorithms for business decisioning, this is preferred but not essential. More ❯

that'll be in your hands. Responsibilities Defining and prioritising the compiler and runtime roadmap, ensuring alignment with company strategy and long-term software goals. Leading the development of algorithms for qubit routing, placement, noise-aware optimisation, pulse scheduling, and instruction generation. Overseeing software delivery from concept through to production deployment - balancing innovation with stability and performance. Identifying risks and More ❯

petabytes of storage, and almost 10 petabytes of RAM. This cutting-edge infrastructure supports state-of-the-art Deep Learning models that process trillions of data points, driving trading algorithms that handle $300 billion across 80+ exchanges daily. They are one of the youngest, yet most innovative and successful algo trading firms on the planet. All with under 200 people. More ❯

petabytes of storage, and almost 10 petabytes of RAM. This cutting-edge infrastructure supports state-of-the-art Deep Learning models that process trillions of data points, driving trading algorithms that handle $300 billion across 80+ exchanges daily. They are one of the youngest, yet most innovative and successful algo trading firms on the planet. All with under 200 people. More ❯

petabytes of storage, and almost 10 petabytes of RAM. This cutting-edge infrastructure supports state-of-the-art Deep Learning models that process trillions of data points, driving trading algorithms that handle $300 billion across 80+ exchanges daily. They are one of the youngest, yet most innovative and successful algo trading firms on the planet. All with under 200 people. More ❯

petabytes of storage, and almost 10 petabytes of RAM. This cutting-edge infrastructure supports state-of-the-art Deep Learning models that process trillions of data points, driving trading algorithms that handle $300 billion across 80+ exchanges daily. They are one of the youngest, yet most innovative and successful algo trading firms on the planet. All with under 200 people. More ❯

petabytes of storage, and almost 10 petabytes of RAM. This cutting-edge infrastructure supports state-of-the-art Deep Learning models that process trillions of data points, driving trading algorithms that handle $300 billion across 80+ exchanges daily. They are one of the youngest, yet most innovative and successful algo trading firms on the planet. All with under 200 people. More ❯

such as DevOps. Experience in the legal sector is highly desirable, particularly with matter lifecycle processes. Software development experience or exposure with a strong understanding of logic, patterns, and algorithms and an understanding of development methodologies. Product development and software engineering experience. Strong problem-solving and troubleshooting skills. Experience with providing estimates on work effort and with technical sizing and More ❯

such as DevOps. Experience in the legal sector is highly desirable, particularly with matter lifecycle processes. Software development experience or exposure with a strong understanding of logic, patterns, and algorithms and an understanding of development methodologies. Product development and software engineering experience. Strong problem-solving and troubleshooting skills. Experience with providing estimates on work effort and with technical sizing and More ❯

such as DevOps. Experience in the legal sector is highly desirable, particularly with matter lifecycle processes. Software development experience or exposure with a strong understanding of logic, patterns, and algorithms and an understanding of development methodologies. Product development and software engineering experience. Strong problem-solving and troubleshooting skills. Experience with providing estimates on work effort and with technical sizing and More ❯