1 to 25 of 213 Permanent Algorithms Jobs in London

About the Role: We're looking for a Machine Learning Engineer to design and build scalable ML models that power critical treasury decisions. You will focus on leveraging advanced algorithms-from real time currency exposure forecasting to automated hedging strategies-to improve Remitly's overall risk management and liquidity planning. This role is based in London reporting to the Head More ❯

building streaming data processing and ingestion pipelines Experience building distributed data processing systems which handle a high volume of client queries Strong knowledge of object oriented programming, data structures, algorithms and design patterns Prior experience building systems used by multiple technical and non-technical teams Over 6 years' experience in Financial industry About Goldman Sachs At Goldman Sachs, we commit More ❯

Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact: Develop models, algorithms and data pipelines that leverage wealth of S&P Global data (structured and unstructured) to provide actionable insights to clients Lead data science product development start to end from PoC More ❯

that have a real impact on the world. For example, our AI systems help to manage the water supply for the entire city of London. We created the AI algorithms that enabled the 7th largest telecommunications company in the world to plan its network in 300 cities in record time. And we built a digital healthcare system that enables 30m More ❯

Machine learning development: Design, train, and deploy models for applications. Software integration: Collaborate with engineers to integrate data-driven models into live products and platforms. Tool & framework development: Build algorithms, APIs, and analytical tools that enhance product capabilities and improve user experience. Data storytelling & reporting: Create dashboards and visualisations that communicate insights clearly to both technical and business stakeholders. 🎓 Requirements More ❯

Machine learning development: Design, train, and deploy models for applications. Software integration: Collaborate with engineers to integrate data-driven models into live products and platforms. Tool & framework development: Build algorithms, APIs, and analytical tools that enhance product capabilities and improve user experience. Data storytelling & reporting: Create dashboards and visualisations that communicate insights clearly to both technical and business stakeholders. 🎓 Requirements More ❯

knowledge of SQL Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) Familiarity with what is happening under the hood of popular Machine Learning algorithms Strong problem-solving skills and attention to detail Strong communication and collaboration skills Ability to work in a fast-paced, dynamic environment Eagerness to make an impact and lead on More ❯

libraries such as pandas and scikit-learn SQL: Proficient in SQL, particularly with cloud data warehouses like Snowflake Statistical Methodology: In-depth knowledge of GLMs and other machine learning algorithms Data Tools: Familiarity with cloud-based data platforms (we're on AWS) and data visualisation tools (Looker, matplotlib, seaborn) Software Engineering: Experience with version control systems (e.g., Git), CI/ More ❯

occasional travel to client sites and company events. What You'll Be Delivering Collaborate with clients to identify business challenges and AI opportunities. Design and develop AI models and algorithms to meet client needs. Provide technical expertise in machine learning, NLP, and computer vision. Conduct data analysis and preprocessing for model training. Deploy AI models into production environments and monitor More ❯

occasional travel to client sites and company events. What You'll Be Delivering Collaborate with clients to identify business challenges and AI opportunities. Design and develop AI models and algorithms to meet client needs. Provide technical expertise in machine learning, NLP, and computer vision. Conduct data analysis and preprocessing for model training. Deploy AI models into production environments and monitor More ❯

and management A Degree in Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as data structures and algorithms We give back to the technology community and you can read more about our outreach at: Bloomberg is an equal opportunity employer and we value diversity at our company. We More ❯

research. Our position offers exceptional opportunities for every candidate to grow their technical and non-technical skills and make a global impact immediately. Key job responsibilities - Develop machine learning algorithms for high-scale recommendations problems. - Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and business judgement. - Collaborate with software More ❯

than one of: C#, Java, Python, and C++ Databases such as: MSSQL, Postgres, Redis Kafka/RabbitMQ or similar event-based platforms Data structures and design/analysis of algorithms Not required, but a bonus Fixed Income products and Interest Rate derivatives (including Risk, PnL attribution, scenario analysis, etc.) Possesses the ability and desire to learn, adapt and grow. Demonstrates More ❯

our Nicosia office, we would love to meet you and discuss how you can contribute to our success! The role: Design, develop, and implement machine learning models and AI algorithms in alignment with project-specific objectives. Engage in active collaboration with cross-functional teams, including data scientists, engineers, and product managers, to comprehend business requirements and pinpoint AI application opportunities. More ❯

Role Responsibilities Take a leading role on our Quantitative Trading & Market Making desk, building market making and quoting strategies across equities products from cash to derivatives. Implement automated hedging algorithms, and build platforms to manage risk centrally across asset classes Build and expand data pipelines for our advanced statistical and AI models, operating at scale with large quantities of time More ❯

Java, C/C++, C#) - Proficiency in at least one scripting language (Python, Ruby, Perl) - Experience with Linux/Unix systems and Bash scripting - Solid knowledge of CS fundamentals (algorithms, data structures). - Professional communication skills and ability to contribute to team discussions - English language working proficiency PREFERRED QUALIFICATIONS - Experience with various processes in the full SDLC (coding standards, code More ❯

positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. More ❯

works and does the right thing. Experience working with Spring, Hibernate, REST APIs, JSON, Microservices, Kafka and Postgres. Good understanding of architecture and cloud native principles Good grasp of algorithms and data structures Familiar with test driven development approach Experience working with container environments in particular Docker, Kubernetes and Helm (e.g. GCP, Azure, AWS), ideally GCP. Familiar with automating CI More ❯

capability centre environment. Expertise in building and maintaining automated data pipelines and scalable analytics infrastructure to support strategic decision-making and business operations. Proficiency in statistical concepts, machine learning algorithms, and advanced quantitative research methodologies. Experience with cloud platforms (AWS, Azure, GCP) and modern data architectures. Demonstrated entrepreneurial mindset, with a passion for delivering outstanding client outcomes and driving business More ❯

capability centre environment. Expertise in building and maintaining automated data pipelines and scalable analytics infrastructure to support strategic decision-making and business operations. Proficiency in statistical concepts, machine learning algorithms, and advanced quantitative research methodologies. Experience with cloud platforms (AWS, Azure, GCP) and modern data architectures. Demonstrated entrepreneurial mindset, with a passion for delivering outstanding client outcomes and driving business More ❯

capability centre environment. Expertise in building and maintaining automated data pipelines and scalable analytics infrastructure to support strategic decision-making and business operations. Proficiency in statistical concepts, machine learning algorithms, and advanced quantitative research methodologies. Experience with cloud platforms (AWS, Azure, GCP) and modern data architectures. Demonstrated entrepreneurial mindset, with a passion for delivering outstanding client outcomes and driving business More ❯

capability centre environment. Expertise in building and maintaining automated data pipelines and scalable analytics infrastructure to support strategic decision-making and business operations. Proficiency in statistical concepts, machine learning algorithms, and advanced quantitative research methodologies. Experience with cloud platforms (AWS, Azure, GCP) and modern data architectures. Demonstrated entrepreneurial mindset, with a passion for delivering outstanding client outcomes and driving business More ❯

years of relevant engineering experience 3+ years of engineering team management Bachelor's degree in Computer Science or equivalent experience Strong computer science fundamentals (object-oriented design, data structures, algorithms) Experience with modern programming languages (C++, Java, Python, Ruby) Knowledge of cloud/internet technologies Experience leading cross-functional teams Preferred Qualifications 8+ years of software development experience Experience with More ❯

then iterating on user feedback and interactions. Key job responsibilities As an Applied Scientist on the team, you will collaborate with other applied scientists and engineers to develop novel algorithms to enable timely, relevant and delightful recommendations and conversations. Your work will directly impact our customers in the form of products and services that make use of various machine learning More ❯

to use C# going forward) You have a strong knowledge of SQL databases You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're entrepreneurial with good business acumen, keen to take ownership and lead projects You're collaborative, enjoy problem solving and sharing ideas What's in it for you: As More ❯