351 to 375 of 601 Machine Learning Jobs in Central London

years of experience in forecasting or data analytics Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive, Finance, or Manufacturing is highly desirable What's in it for you: Location More ❯

It’s a friendly, open place where people are motivated because they enjoy what they’re doing. Java Developers MUST have: Computer Science or Machine learning BSc or Masters or PhD from a top 40 University Globally Some commercial Java Development experience; we would consider C++ but core More ❯

and market microstructure. Proven experience developing code in C++, R, and Python. Strong quantitative and analytical skills, with a background in numerical techniques and machine learning (both supervised and unsupervised). More ❯

About Algo Capital Algo Capital is a premier global search firm focused on fundamental and systematic Quantitative Trading, Machine Learning, and Deep Tech. We partner with the world’s most sophisticated hedge funds and systematic trading groups to build elite teams across research, trading, and technology. About the More ❯

software engineering. You have experience optimising solution performance with a constrained set of technologies. You have experience or are keen to engage with productionising machine learning technologies combined with large scale feature engineering. More ❯

Science, Mathematics, Engineering, or related fields. Preferred Qualifications: Experience with low-latency trading systems and high-frequency trading (HFT). Background in distributed computing, machine learning, or AI-driven trading models. Familiarity with cloud computing, Kubernetes, or containerised environments. Strong debugging, profiling, and performance optimisation skills. What We More ❯

and Java Hands-on experience with High Frequency Trading (HFT) and designing ultra-low-latency systems Proficiency in statistical modelling, time series analysis, and machine learning techniques Strong communication abilities in explaining your methodologies This is an amazing opportunity to join a leading trading company and generate PnL. More ❯

Date: 31.07.2025 col-wide Job Description: About Algo Capital Algo Capital is a premier global search firm focused on fundamental and systematic Quantitative Trading, Machine Learning, and Deep Tech. We partner with the world’s most sophisticated hedge funds and systematic trading groups to build elite teams across More ❯

and technology sectors, promoting continuous learning. Champion the selection, implementation, and maintenance of cutting-edge technologies. Identify opportunities for integration and innovation in AI, machine learning, RPA, NLP, computer vision, and other relevant technologies. Collaborate with stakeholders across product, operations, sales, and customer teams to address business needs. More ❯

culture of innovation.  Technology Development and Implementation: o Oversee the design and implementation of credit risk models and systems. o Integrate advanced analytics and machine learning techniques.  Data Management and Integrity: o Ensure the accuracy and reliability of credit risk data. o Maintain and enhance credit risk databases. More ❯

culture of innovation. 2. Technology Development and Implementation:  Oversee the design, development, and implementation of market risk models and systems.  Integrate advanced analytics and machine learning techniques to enhance market risk assessment and management.  Ensure the integration and management of market data systems to support risk analysis and More ❯

Qualifications & Skills Strong background in data modeling and engineering, comfortable working with transactional, analytical, and data science data. Experience collaborating with data science and machine learning teams, understanding workflows, and ensuring data quality and granularity. Experience with modern data architectures and big data in cloud environments. Experience working More ❯

Data Security Understanding: An appreciation for the architectural implications of application design and implementation. Modern Data Capabilities: Knowledge of Data Lake, Data Warehouse, and Machine Learning architectures. QA Best Practices: A solid understanding of data quality concepts and practices. Why Join Us? This is your chance to work More ❯

data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and More ❯

use cases (such as order-to-cash) and ensuring that components meet real-world operational demands. Driving the adoption of advanced data practices including machine learning models, event-based processing, and clean data lineage. Providing guidance and oversight to engineers and analysts, supporting their growth and elevating team More ❯

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 More ❯

tools such as Docker, Kubernetes, Ansible, or Terraform Prior experience working with or delivering projects for in the defence industry Exposure to AI/ML is a plus, but not essential Comfortable working in Agile teams and secure environments This is an excellent opportunity for someone with a background in More ❯

you: Will get to work on numerous challenging and exciting projects on our various offerings including Salesforce, AI/Data Science, Generative AI/ML, Automation, Cloud Enterprise and Product/Platform Engineering. At Ascendion you have high chances of project extension or redeployment to other clients. Additionally, you can More ❯

but no worries if not, as long as you're willing to learn and engage with senior stakeholders. Key experience: Python for AI/ML, automation, or backend work Hands-on with LLMs, agent frameworks, or prompt engineering Exposure to investment data or a willingness to learn quickly AWS (or More ❯

Snowflake expert with hands-on experience of data modelling and best practises MS Azure Data Stack - Data Factory, Data Lake Storage, Azure SQL, Azure ML, Power BI Automation of CICD pipelines across different technologies including Power BI, Snowflake and the Azure Data Stack Data Science, Analytics & Reporting Design Understanding of More ❯

cloud platforms (AWS/Azure) Confident team leadership and stakeholder management Bonus Points: Knowledge of clean rooms, first-party data strategies, and AI/ML in media More ❯

but no worries if not, as long as you're willing to learn and engage with senior stakeholders. Key experience: Python for AI/ML, automation, or backend work Hands-on with LLMs, agent frameworks, or prompt engineering Exposure to investment data or a willingness to learn quickly AWS (or More ❯

comfortable in fast-moving, ambiguous environments Bonus: You've built a product from 0 to 1, led a tech stack decision, or worked in ML/AI environments More ❯

You will join as an Engineering Manager to lead a small, high impact research team focused on: • Video and point cloud compression • AI and ML applications such as Generative AI, intelligent edge, media indexing • Algorithm optimization for performance and visual quality You will work closely with engineering, product, and commercial More ❯

A bias toward action and pragmatism: you ship working software quickly Strong product intuition and comfort collaborating beyond just engineering Interest in AI/ML — no PhD required, but hands-on curiosity essential Based in (or regularly able to visit) London for in-person collaboration Location: London, Hybrid Salary More ❯