276 to 300 of 508 Python Jobs in Central London

experience in leading or mentoring ML/AI engineering teams. Deep understanding of digital signal processing and speech/audio modelling . Proficiency with Python , PyTorch/TensorFlow , and modern ML frameworks. Track record of delivering production-grade ML systems with measurable performance improvements. Experience with low-latency inference ...

Salary: £80,000 base + 10% bonus • Pension: 5% matched • Working model: Hybrid, 3 days per week (Tuesday & Wednesday fixed) • Location: Central London • Stack: Python, Databricks, RAG, vector databases, Azure (preferred), LangChain/LangFuse • Visa: This role cannot sponsor Interested? Please apply below. ...

fintech, trading, or other regulated financial environments. Strong understanding of internal systems supporting compliance, risk, and operational functions. Technical fluency, able to review code (Python or JavaScript) and engage confidently with engineering teams. Experience with low-code/no-code solutions is advantageous. Excellent communication and stakeholder management skills; comfortable ...

stage environments Strong communicator, able to simplify complex intelligence concepts Comfortable engaging directly with enterprise customers and stakeholders Technical Awareness Exposure to Node.js, Typescript, Python, Postgres, cloud environments (AWS), and event-driven architectures Comfortable discussing APIs, data models, scoring frameworks, and ML-powered features Success in the First 12 Months ...

under pressure). Communicate findings effectively to both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics. Knowledge of advanced ...

under pressure). Communicate findings effectively to both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics or personal projects ...

security operations or incident response. Strong technical background, ideally from engineering or a hands-on IT/security role. Proficient in scripting or programming (Python, Bash, or similar). Practical experience with SIEM platforms (preferably Splunk), cloud environments, endpoints, and network monitoring. Familiarity with detection engineering, threat intelligence, and modern ...

Senior Data Engineer: Solid grasp of modern data engineering concepts and workflows. Strong Databricks experience Familiarity with Azure and related DevOps tools. Strong Python programming capability. Knowledge of data orchestration, pipeline development, and data modelling. Background in connecting data platforms with visualisation tools like Power BI and Tableau. 💼 Details ...

What We’re Looking For: 3+ years of experience in robotics, or technical solution engineering Ability to prototype and integrate hardware + software (e.g., Python/JS) Strong analytical and communication skills in cross-functional environments Experience working with global customers or overseas deployment Fluent in English; Chinese or other ...

will be tested on algorithmic speed, coding velocity, systems engineering, concurrency, data structures and algorithms and debugging. Exclusions: High-level application developers (Java/Python) or vibecoders. ...

improvement of data models, processes, and governance practices. Required Skills and Experience: Proven experience in data analysis, preferably in customer-facing environments. Proficient in Python (pandas, NumPy, Matplotlib) for data manipulation and analysis. Hands-on experience with graph databases, such as Neo4j. Strong SQL skills and familiarity with relational database ...

research. Skills & Experience Essential Strong experience with GIS platforms (ArcGIS, QGIS) and geospatial libraries (e.g., GeoPandas, GDAL/OGR, Shapely, Rasterio). Proficiency in Python and/or R for data science and automation. Solid grounding in statistics, spatial analysis, and machine-learning methodologies. Experience with spatial databases (PostGIS, BigQuery ...

Data Integration Familiarity with SAP data structures is beneficial Integration with PIM (Product Information Management) systems Design and consumption of REST APIs Programming & Querying Python (advanced): pandas, numpy, boto3, and data processing best practices SQL (advanced): complex queries, performance tuning, and query optimization Data Quality & Governance Data profiling and ongoing ...

Familiarity with safety-critical systems (e.g., ISO 26262, IEC 61508). Knowledge of wireless communication stacks (e.g., Bluetooth, LoRa, Wi-Fi). Experience with Python for test automation or scripting. Understanding of secure boot, firmware update mechanisms, and embedded cybersecurity. Why Join Chevalier Tech? Work on real-world, high-impact ...

shape the technical core of an entire institution. What we’re looking for Essential Experience with Azure OpenAI, OpenAI, LangChain, or similar frameworks Strong Python engineering skills Practical experience building RAG systems, embeddings, vector stores Comfort with cloud architecture (Azure preferred) Ability to move fast, prototype, and ship Experience building ...

international markets What We’re Looking For: 3+ years of experience in robotics, industrial automation, or AI solution engineering Hands-on prototyping skills (e.g., Python, JavaScript, or similar technical stack) Experience integrating hardware + software and working with real-world operational workflows Strong analytical mindset, able to design experiments, evaluate ...

tools for efficient model deployment and monitoring Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Great knowledge of NLP algorithms Expertise in Python and PyTorch Desirable Skills 👌 Can speak, or learning to speak, more than one language Experience with reinforcement learning Knowledge-sharing experience (tech talks, articles, YouTube ...

CVPR, ICCV, or EMNLP. Solid understanding of modern ML architectures (transformers, diffusion, retrieval-augmented systems, reinforcement learning, etc.). Strong coding skills in Python and experience with at least one major ML framework (PyTorch, JAX, TensorFlow). Ability to bridge high-level research with practical implementation. Curious, humble, and excited ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ ...

visualisation). SQL experience (joins, selects, data manipulation). Comfortable working with relational databases. Power BI for reporting and data visualisation. Nice to Have Python or R (interest is sufficient; not essential). Exposure to forecasting beyond basic historical analysis. IDEAL CANDIDATE PROFILE Midweight analyst with 3–5 years’ experience ...

strong record of successfully delivering high-performance ML-driven products. Have a deep understanding of machine learning theory. Have strong coding skills in Python and PyTorch. Care about building fair and cutting-edge machine learning products. Strong candidates may also have : Technical experience in one or more of the following ...

these models to understand their requirements and guiding them through what is and is not possible or desirable in a model. Familiarity with Python and the packages widely used in data science and machine learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Familiarity ...

Grow your skills by exploring and experimenting with emerging technologies, including GenAI. Your skills and experience: Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI … Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration ...

Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks … architecture and evaluation metrics. Proven experience with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command ...