25 of 25 Permanent Algorithms Jobs in the City of London

into data-driven solutions. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong Python skills (bonus: C++, SQL, Spark) Experience in ML algorithms (XGBoost, clustering, regression) Expertise in Time Series, NLP, Computer Vision, MLOps Knowledge of AWS/Azure/GCP, CI/CD, and Agile development Ability to own solutions and manage More ❯

SOLID, and their engineering standards Design relational and non-relational databases and data models Support the Data Science team in deploying machine learning models to production Leverage data structures, algorithms, and design patterns effectively Foster empathy and collaboration within the team and with customers Preferred Experience Degree in Computer Science or equivalent practical experience Commercial experience with Spark, Scala, and More ❯

in a fast-moving, collaborative team. What we’re looking for Strong Python (pandas, sklearn, etc.) and advanced SQL Experience building behavioural or credit models Solid understanding of ML algorithms (not just how to run them) Clear communicator across tech and non-tech teams Awareness of data drift and model monitoring Amazing visualization skills; ideas need to land Bachelor's More ❯

Communicate insights clearly to all audiences Mentor junior team members and support capability growth Work with engineers to productionise solutions Requirements: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding More ❯

optimising guest experiences and pricing strategies to streamlining operations and personalising marketing. Responsibilities: Apply traditional statistical techniques and mathematical concepts to business problems. Build and maintain advanced decision science algorithms and tools. Present data insights to stakeholders in a clear and concise manner. Stay up to date with the latest industry trends and technologies. Contribute to analytics innovation and integration More ❯

a good knowledge of analytics and Risk for one or more financial products You have a strong knowledge of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You have experience within a similar financial trading systems environment You are collaborative with excellent communication skills You are degree educated in Computer Science or similar STEM discipline, having achieved More ❯

Strong experience of software engineering and end-to-end solutions ownership. Proficiency with Python and/or C# (other OO languages are a plus) Solid understanding of software architecture, algorithms, data structures and computer science fundamentals Interest or experience in quant finance Advanced knowledge of the python data science stack (Pandas, NumPy, SciPy) is a plus Strong academic background from More ❯

ability to approach complex technical challenges independently Proven experience in building, deploying, and maintaining ML models in production (cloud-based environments preferred) Solid understanding of core machine learning concepts, algorithms, and evaluation metrics Practical knowledge of LLMs and NLP techniques; experience using frameworks like Hugging Face Transformers or OpenAI APIs Strong Python programming skills to write clean, modular code and More ❯

high- impact initiatives that drive innovation across the media ecosystem, including: Integrating large and diverse datasets from panels, census-level sources, digital platforms, and global partners. Developing GPU-powered algorithms for high-performance modelling at scale. Exploring applications of Large Language Models (LLMs) in media and measurement contexts. Designing and implementing machine learning solutions that enhance our product capabilities and More ❯

knowledge of databases (SQL or Oracle) You're comfortable with JavaScript/React You have a thorough knowledge of Computer Science fundamentals such as OOP, Design Patterns, Data Structures, Algorithms You are collaborative with excellent communication and stakeholder management skills You are degree educated in Computer Science or similar technical discipline What's in it for you: As a Senior More ❯

with AI and machine learning systems, ensuring seamless knowledge retrieval and reasoning. Network Science Application Apply network science techniques to analyze and interpret complex relationships within graph data. Develop algorithms and models to extract insights from graph structures and relationships. Use network insights to enhance AI systems’ ability to reason across interconnected data sets. Skills Required Skills and Qualifications Strong More ❯

scalable data management systems. Ensure systems meet business requirements and adhere to industry best practises. Develop, implement, automate, and maintain large-scale enterprise data ETL processes. Build high-performance algorithms, prototypes, predictive models, and proof of concepts. Collaborate with data architects, modellers, and IT team members to achieve project goals. Execute plans and policies that control, protect, and enhance the More ❯

and processes, Work closely with the operation team and users and provide level 3 support as required. Qualifications Essential skills and qualifications Strong fundamental Computer Science knowledge including Concurrency; Algorithms and data structures Proactive self-starter who is able to take initiative and roll up sleeves to get things done. Can influence cross discipline teams to achieve complex deliveries Scrum More ❯

growing D2C ecommerce business. Why join? Own the end-to-end strategy across pricing and data, two of the most commercially important areas in the business. Influence how pricing algorithms are developed and deployed to directly drive profit and sales. Lead the transformation of pricing systems that directly influence revenue and margin. Drive the development of a modern data platform More ❯

for high-speed environments Proficiency in networking concepts, including TCP/UDP, multicast, and low-level optimizations like DPDK or kernel bypass Mastery of concurrent programming, including lock-free algorithms and shared memory architecture Practical experience with Linux performance tuning, including NUMA balancing and use of huge pages Background in high-frequency trading and real-time market operations Ability to More ❯

The Knowledge, Experience And Qualifications That Will Help Relevant process modeling qualifications (e.g. PMI or BSI) Understanding of application architecture and system integration. Understanding of pricing models and rating algorithms Understanding of underwriting Experience working on agile delivery assignments; Experience in preparing and facilitating workshops; Experience in creating training materials and delivering training Insurance experience What You'll Be Like More ❯

About Optibus: Optibus is a unified software platform revolutionizing public transportation planning, scheduling, and operations in over 7,000 cities worldwide. Using AI, ML, and optimization algorithms, it empowers agencies to design more efficient, equitable, and sustainable transit networks, enhancing passenger access, reducing emissions, and improving driver conditions. With offices globally and a team of 350+ employees, Optibus fosters a More ❯

even footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest growing More ❯

performance metrics quantifying the effectiveness of the risk framework. Reviewing electronically traded flow in the context of system capacity constraints and the operational environment. Reviewing the use of trading algorithms and the associated risk & control framework. Developing a uniform standard for the use of trading algorithm controls taking account trading requirements and market impact. Working with Technology to identify and More ❯

insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate with cross-functional teams: Work closely with finance, product, and technology teams to align data science initiatives with … or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical More ❯

Senior C++ Software Developer, Python - Financial/Banking Candidates will have 5+ years C++ experience (ideally more) and excellent knowledge of Python - ideally coming from a Financial/Banking background with knowledge of Equities, Futures & Options and Fixed Income and More ❯

Data Scientist - Marketing/Customer Analytics London/Reading– Hybrid (2 days in London, 1 day in Reading) (Flexi Hours) Up to £60,000 + Benefits About the Role A leading research and insights company is looking for a Data More ❯

modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and optimisation algorithms in production environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking For Strong technical foundation with proficiency in … Python, SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation More ❯

modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and optimisation algorithms in production environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. Mentor and guide junior data scientists, establishing best practices and scalable … within the wider business. What We’re Looking For Strong technical foundation with proficiency in Python, SQL, and cloud platforms. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity More ❯

makes it easily accessible from neighbouring cities such as Vienna, Budapest, or Prague. About the company My client is a leading high-frequency cryptocurrency market maker. They use advanced algorithms to trade digital assets globally, providing liquidity across multiple exchanges and trading venues. The company positions itself as a quantitative trading firm that operates at the intersection of cutting-edge … analysis and probabilistic thinking Work in pairs or independently on various research topics, engaging in daily discussions to challenge and refine ideas. Monitor and analyse the performance of trading algorithms, visualising data and identifying areas for improvement. Communicate findings and proposed strategies to relevant teams, contributing to the enhancement of the trading platform. Must have the following 3+ years of More ❯