151 to 175 of 310 Machine Learning Jobs in Central London

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proficient in Python (core skill), with strong experience in SQL Strong technical expertise in AI/ML and advanced analytics. Ideally industry experience within Insurance **Please note that this role does not offer visa sponsorship** How to Apply: Register your interest by sending your CV to Emily More ❯

s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proficient in Python (core skill), with strong experience in SQL Strong technical expertise in AI/ML and advanced analytics. Ideally industry experience within Insurance **Please note that this role does not offer visa sponsorship** How to Apply: Register your interest by sending your CV to Emily More ❯

and scaling BI teams. Experience delivering BI strategies and aligning analytics with business KPIs. Background in Azure data platforms. Desirable: Python for automation and analytics. Exposure to AI/ML-driven BI (e.g. natural language querying, automated insights). Experience with CI/CD for BI solutions and version control (Git). Interview Process: Initial screening call. Face-to-face More ❯

and scaling BI teams. Experience delivering BI strategies and aligning analytics with business KPIs. Background in Azure data platforms. Desirable: Python for automation and analytics. Exposure to AI/ML-driven BI (e.g. natural language querying, automated insights). Experience with CI/CD for BI solutions and version control (Git). Interview Process: Initial screening call. Face-to-face More ❯

Frameworks Python (FastAPI), LangChain, Google AI SDK, Azure Open AI SDK Cloud & AI Platforms GCP: Vertex AI, Gemini API, Cloud Run, GCS, IAM, Secret Manager, Audit Logs Azure: Azure ML, Azure OpenAI, Key Vault, Azure Policy Experience with Self Hosting LLM Fine-tuning and prompt engineering for LLMs (e.g., GPT, Gemini, Claude) Secure deployment of LLMs via APIs with input More ❯

Do you want to leverage your AI/ML skillset in a rapidly growing start-up that’s focused on Gen AI advancements? Do you want the freedom to work with a diverse range of clients and be responsible for creating bespoke end-to-end technical solutions for them? You’ll be joining a start-up whose founders have already More ❯

translate model outputs into business value About You You are an analytical thinker with a passion for using data to drive credit decisioning. You bring hands-on experience building machine learning models for consumer credit and understand the nuances of data preparation, feature selection, and model validation in high-stakes environments. 5–7 years of experience in a … in feature engineering, handling class imbalance, and evaluating model performance using AUC, KS, precision/recall, etc. Understanding of model monitoring and techniques for identifying drift Experience with unsupervised learning (e.g., K-means, PCA, autoencoders) for fraud detection or segmentation Exposure to start-up or scale-up environments Familiarity with alternative data for credit scoring (e.g., device data, psychometrics More ❯

translate model outputs into business value About You You are an analytical thinker with a passion for using data to drive credit decisioning. You bring hands-on experience building machine learning models for consumer credit and understand the nuances of data preparation, feature selection, and model validation in high-stakes environments. 5–7 years of experience in a … in feature engineering, handling class imbalance, and evaluating model performance using AUC, KS, precision/recall, etc. Understanding of model monitoring and techniques for identifying drift Experience with unsupervised learning (e.g., K-means, PCA, autoencoders) for fraud detection or segmentation Exposure to start-up or scale-up environments Familiarity with alternative data for credit scoring (e.g., device data, psychometrics More ❯

experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). … Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI and using Vertex AI for ML workflows. Visualization & Communication: Ability to create clear visualizations and effectively communicate technical findings to non-technical stakeholders. Highly desirable skills include: Football Analytics Domain: Significant plus if experienced with football More ❯

Entra ID/Azure AD/Group Policy. Experience: Familiarity with Imperva WAF/DDoS, Menlo, Cisco security, KnowBe4, Digicert, patching tools, web application scanners, and Kali Linux, AI, Machine Learning Candidate Profile: Relevant security certifications (CISM, MS Security, OSCP preferred). Financial services/SOC/pentesting background desirable. Strong communication and problem-solving skills. Location & Hours More ❯

fast-paced R&D environment. Experience in catastrophe modelling, especially around exposure and vulnerability. Applied statistical skills such as Bayesian statistics, uncertainty quantification, or Extreme Value Theory. Knowledge of machine learning applications in climate risk. Familiarity with cloud platforms (e.g., AWS, Google Cloud). If this role looks of interest, please apply below. Please note - this role does More ❯

Lead data science projects focused on pricing optimisation and revenue management. Manage and mentor a small international team of data scientists (UK and US based). Build statistical and machine learning models to enhance customer value and business outcomes. Develop and run rigorous experimentation frameworks (A/B, MAB, causal inference). Work cross-functionally with engineering, product More ❯

Work with cutting-edge tools: GCP/AWS/Azure, MySQL, Firestore, Docker/Kubernetes, CI/CD, IaC • Champion security best practices in a regulated space • Explore AI & machine learning (LLMs, LangChain, TensorFlow, PyTorch) What you’ll bring: • Strong React & Python (FastAPI/Django/Flask) experience • Solid API design & database skills • Start-up or scale-up More ❯

Work with cutting-edge tools: GCP/AWS/Azure, MySQL, Firestore, Docker/Kubernetes, CI/CD, IaC • Champion security best practices in a regulated space • Explore AI & machine learning (LLMs, LangChain, TensorFlow, PyTorch) What you’ll bring: • Strong React & Python (FastAPI/Django/Flask) experience • Solid API design & database skills • Start-up or scale-up More ❯

Proficiency in Python and SQL for data processing and analysis Experience working with market data and its applications Familiarity with Databricks, Snowflake, and other modern data platforms Knowledge of machine learning and data science concepts is a plus This is a hybrid role based in London up to three days per week, with the rest of the week More ❯

optimize systematic, high-frequency trading strategies. Conduct quantitative research to uncover market inefficiencies and improve model robustness. Collaborate with engineering teams to build scalable, low-latency trading systems. Leverage machine learning and statistical methods to enhance signal generation and performance. Mentor junior researchers and foster a culture of technical excellence and collaboration. Who We’re Looking For: Exceptional More ❯

touch ASAP as interviews are already taking place. Don't miss out! Key Skills: AWS, Data, Architecture, Data Engineering, Data Warehousing, Data Lakes, Databricks, Glue, Pyspark, Athena, Python, SQL, Machine Learning, London More ❯

of relational and non-relational databases Apply Gen AI tools to boost development speed and code quality Maintain and optimise large-scale data collection processes Support the deployment of machine learning models into production To be successful in the role you will have: Creating scalable ETL jobs using Scala and Spark Strong understanding of data structures, algorithms, and More ❯

optimize systematic, high-frequency trading strategies. Conduct quantitative research to uncover market inefficiencies and improve model robustness. Collaborate with engineering teams to build scalable, low-latency trading systems. Leverage machine learning and statistical methods to enhance signal generation and performance. Mentor junior researchers and foster a culture of technical excellence and collaboration. Who We’re Looking For: Exceptional More ❯

science teams to balance accuracy, performance, and UX, while championing ethical AI and driving product growth. What you’ll bring: 5+ years in product management Experience launching AI/ML products (LLMs ideal) Background working with data science teams in agile environments Perfect for someone curious, innovative, and ready to make an impact in the AI product space. Contract Details More ❯

science teams to balance accuracy, performance, and UX, while championing ethical AI and driving product growth. What you’ll bring: 5+ years in product management Experience launching AI/ML products (LLMs ideal) Background working with data science teams in agile environments Perfect for someone curious, innovative, and ready to make an impact in the AI product space. Contract Details More ❯

internal working groups on Responsible AI, AI governance, and ethical design. Educate stakeholders on emerging AI risks and mitigation strategies. Qualification and skills: Strong technical background in AI/ML systems, with experience embedding security and compliance into product design. Expert-level knowledge of Microsoft Purview for data governance, classification, and compliance. Familiarity with AI governance frameworks (e.g., NIST AI More ❯

an expanding consultancy focused on supporting innovation in the pharmaceutical and biotech industry. Its specialist research division is dedicated to solving complex biological problems through advanced statistical modelling and ML/AI. They have an experienced team with a strong track record and are looking for an extra person to join them to work on statistical method development and application More ❯

an expanding consultancy focused on supporting innovation in the pharmaceutical and biotech industry. Its specialist research division is dedicated to solving complex biological problems through advanced statistical modelling and ML/AI. They have an experienced team with a strong track record and are looking for an extra person to join them to work on statistical method development and application More ❯