101 to 125 of 350 Python Jobs in Central London

of your work. What you need for this role – Comfortable with common betting industry concepts, ideally with experience within the betting industry, or an interest in sports. – Proficient in Python with experience deploying well-structured and tested quantitative models – Proficiency in Git for version control and collaborative development- Strong SQL skills with PostgreSQL experience for data querying, analysis, and database More ❯

products. The ideal candidate will hold active SC clearance and possess a proven background in Lead AI Engineer, along with the following qualifications: Skills and Experience: Proficient experience in Python Strong software engineering skills with a focus on building production-ready systems Experience of deploying & monitoring such systems in a cloud environment. Experience with natural language processing, deep learning and More ❯

and clients. Support business development through proposal writing and pre-sales work. We're looking for someone with: Proven experience delivering data science projects in a consultancy setting. Strong Python skills with experience in ML or GenAI (e.g. LLMs, prompt engineering, optimisation). Excellent communication and stakeholder management abilities. A track record of managing teams and shaping development roadmaps. experience More ❯

academic background in Statistics, Mathematics, Economics, Data Science, or a related discipline A number of years experience in Risk Modelling, Credit Risk, Risk Management Proficiency in statistical tools, preferably Python or R Practical exposure to machine learning, predictive modelling, and advanced analytics techniques Industry experience in Automotive, Finance, or Manufacturing is highly desirable What’s in it for you: 💰 Salary More ❯

in a numerate field of study, such as Mathematics, Physics, Computer Science, or Engineering. Excellent coding ability in at least one language. Previous successful candidates are proficient users of Python, C++, Java, MATLAB, etc. Experience/knowledge of finance from academic studies, internships or professional work. Strong attention to detail, excellent problem-solving abilities, and the ability to work well More ❯

modelling. Develop compelling data visualisations and dashboards to communicate findings. Provide mentorship or line management to more junior team members. Your Skills & Experience Strong coding ability in SQL and Python . Solid experience in data visualisation (e.g. Power BI, Tableau, or similar). Proven background in applying techniques like propensity modelling, clustering, regression, and forecasting . Commercially minded with excellent More ❯

Job Title: Data Architect • Key Skills: SPARQL, Python, Clinical Knowledge Graph and GraphDB • Experience: 8+ Years • Location: London, UK •We at Coforge are seeking “Data Architect” with the following skill-set: Job Overview We are seeking a highly experienced Data Architect to support the ongoing development and continuous improvement of our Clinical Knowledge Graph (Clinical Intelligence) platform. This role is More ❯

Analysts, and BI Teams. Skills & Experience: * Proficiency in Azure tools (Data Factory, Databricks, Synapse, etc.). * Strong SQL and experience with data warehousing (Kimball methodology). * Programming skills in Python, Scala, or PySpark. * Familiarity with Power BI, SharePoint, and data integration technologies. * Understanding of DevOps, CI/CD, and cloud concepts (IaaS, PaaS, SaaS). * PowerShell scripting, containerisation, Semarchy MDM More ❯

Proven track record of alpha generation or contribution to profitable strategies Deep understanding of statistical modeling, time-series analysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics) Excellent communication skills and More ❯

datasets Contribute to ethical, privacy-aware, and user-centric data products Stay curious, research new methods, and continually build your technical capability What We’re Looking For Proficiency in Python or similar languages for scripting and model building Hands-on experience with machine learning, model deployment, and performance evaluation Strong communication skills – able to simplify complex ideas for various audiences More ❯

of the team We’re looking for someone with: 3–5 years’ experience in a Data Science, AI, or ML-related role Experience with forecasting, propensity and segmentation Strong Python skills and experience with libraries like scikit-learn, pandas, and Prophet Hands-on experience developing and deploying ML models in production A track record of working across the full ML More ❯

AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs More ❯

with the Scrum and broader software teams. Requirements: ACE Certified in Guidewire Experience onboarding and integrating Guidewire for a specialty insurer Proficiency in coding with GOSU, Java, C#, or Python SQL and other relational database experience, along with supporting database applications CI/CD and DevOps experience for test automation and cloud deployment Why Join this business? Innovative Projects: Be More ❯

such as Jira and Confluence. Strong data management background - data evaluation and mapping skills, including interface mapping to databases and integration with internal and external applications. Technical proficiency in Python, SQL, Power BI, and data analysis tools. Leadership experience – leading cross-functional teams and stakeholder influencing skills. More ❯

and modelling Deep experience with 3NF, dimensional, and Vault 2.0 modelling Real-time and streaming data know-how Hands-on with tools like Erwin, Lucidchart, PowerDesigner Strong SQL and Python skills (Snowflake or similar) AWS experience (Lambda, SNS, S3, EKS, API Gateway) Familiarity with data governance (GDPR, HIPAA) Bonus points for: DBT, Airflow, Atlan, Iceberg, CI/CD, API modelling More ❯

for commercial strategy. What They’re Looking For Solid experience in yield, pricing, or forecasting optimisation – ideally within online marketplaces, programmatic media, travel, or insurance. Strong technical skills in Python or R, and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation More ❯

working with financial services data – e.g. banking, insurance, asset management, or fintech Proven track record in Power BI product development and stakeholder adoption Confident with GCP, SQL, and some Python – you’ll need to be technically hands-on when required Excellent communication and stakeholder engagement skills A proactive, delivery-focused approach and the ability to work across technical and non More ❯

project management experience, preferably in technology or AI-focused environments. Strong technical background with practical experience in machine learning, AI, data mining, pattern recognition, or recommendation systems. Proficiency in Python programming. Exceptional communication skills to liaise effectively with researchers, engineers, and cross-functional teams. Experience managing medium-sized projects with remote or distributed teams is preferred. Detail-oriented, self-motivated More ❯

standards and promoting best practice Contributing to internal R&D assets and reusable codebases What We’re Looking For Strong experience in software engineering (preferably 5+ years) Proficiency with Python, data processing, microservices, and distributed systems Experience working with Large Language Models (LLMs), RAG pipelines, or similar AI tooling Comfortable owning technical delivery and leading small teams Strong communication skills More ❯

. Familiarity with risk measures: VAR, CE/PE, PFE. Success in managing multi-terabyte data warehouses. Skilled in data warehousing, ETL/ELT, and reporting tools. Scripting skills (Python, PowerShell). Knowledge of applications, data governance, and cybersecurity.- Preferred: Experience with data modelling tools like dbt. Knowledge of orchestration tools and Agile/DevOps practices. Data Analytics Lead | Data More ❯

. Familiarity with risk measures: VAR, CE/PE, PFE. Success in managing multi-terabyte data warehouses. Skilled in data warehousing, ETL/ELT, and reporting tools. Scripting skills (Python, PowerShell). Knowledge of applications, data governance, and cybersecurity.- Preferred: Experience with data modelling tools like dbt. Knowledge of orchestration tools and Agile/DevOps practices. Data Analytics Lead | Data More ❯

OS such as RHEL and Windows Server Experience in cloud technologies such as AWS Knowledge of database monitoring tools, such as OEM and Nagios Experience in scripting, such as Python Knowledge of database server clustering, failover, and disaster recovery Experience in database replication software, such as Data Guard, Replication Manager for PostgreSQL, and MongoDB ReplicaSets Experience in backup/recovery More ❯

of data preparation, feature selection, and model validation in high-stakes environments. 5–7 years of experience in a credit-related data science or decision science role Proficiency in Python and experience with libraries such as scikit-learn, XGBoost, or LightGBM Strong SQL skills for data extraction and transformation Experience working with transactional (e.g., Open Banking) and bureau data (e.g. More ❯

AI/ML Expertise : Deep knowledge of LLMs, NLP, and recommendation systems. Technical Leadership : Proven experience in scaling AI products, DevOps, and cloud architecture. Backend & Data Proficiency : Skilled in Python, Node.js, PostgreSQL, MongoDB, and API security. AI Deployment : Familiarity with MLOps, data engineering, and ethical AI practices. Strategic Thinking : Ability to align tech strategy with business objectives and cost efficiency. More ❯

machine learning tools and models like YOLO11 to the community. 🛠️ Skills and Experience 5+ years of hands-on experience in Computer Vision and Deep Learning. Expert-level proficiency in Python and deep expertise with PyTorch. Strong practical experience with OpenCV for image and video processing tasks. Proven experience in training, fine-tuning, and deploying object detection models, particularly within the More ❯