101 to 125 of 410 Python Jobs in Central London

solutions post-deployment Requirements: Proven experience in Data Engineering or Data Warehouse Development Strong hands-on skills with Azure data tools and SQL/Python Knowledge of medallion lakehouse design and large-scale data integration Experience with Power BI or SSIS, SSAS, SSRS, and data modelling Ability to write complex ...

strategic goals Provide regular reporting to the Head of Technology on application performance, risk status, and strategic progress. Skills Required Proficient in SQL, C#, Python, Java, HTML/CSS, and related development frameworks. Understanding of API integration, data modelling, and application performance tuning. Strong project management skills are essential ...

performance, observability, iteration Collaborate across engineering, data, operations, and product teams What they’re looking for 4-6+ years of industry experience Strong Python and SQL Hands-on GenAI delivery (RAG/LLMs; LangChain-style tooling strongly preferred) Comfortable operating independently with real ownership Solid stakeholder management and ability ...

projects from initial concept through to delivery Analytical thinker who can decompose challenges and deliver iterative value Preferred Background Experience using Java, C++, or Python Understanding of data-intensive systems, backend services, or cloud-based platforms Familiarity with regulated, high-security, or mission-critical development contexts Confidence working in research ...

practitioner who enjoys experimentation, collaboration, and delivering real-world value. What You’ll Bring 3+ years experience in a commercially driven customer environment Strong Python skills and solid grounding in AI/ML fundamentals. Experience with some of Databricks, LangChain , vector databases , or LLM orchestration tools . Knowledge ...

complex data solutions. Hands-on knowledge of Palantir Foundry (Ontology, pipelines, apps, AIP); Palantir certifications desirable. Proficiency in at least one coding language (e.g., Python/PySpark, R, Java, SQL, Typescript) and experience with object-oriented design or software engineering. Strong understanding of data engineering, modelling, platform integration, UX design ...

Experience deploying data-processing platforms from major vendors such as AWS, Azure, GCP, or Databricks. Proficiency in one or more of Java, Scala or Python, with the ability to contribute hands-on when required. A demonstrable commitment to developing people through coaching, mentoring, and team leadership. Desirable Skills and Experience ...

Skills: 5+ years of combined experience in Support, DevOps, SRE, or related technical roles, ideally within financial technology environments. Strong technical expertise with Python, Unix, PostgreSQL, and familiarity with Kafka, CockroachDB, FastAPI, GraphQL, Snowflake, Redis, and QuestDB or equivalent technologies. Proven experience designing and implementing monitoring and alerting tools (DataDog ...

engineering role. Desirable: CISSP certification. Cloud security certifications for AWS. Risk management experience (CRISC, ISO 27005, NIST RMF). Network security and coding experience (Python, Bash, PowerShell, GitHub). Penetration testing exposure. ...

full-stack engineer in a fast-growing product-led company (experience as a founding engineer or engineering lead is a plus) Strong proficiency in Python, React, TypeScript, Next.js, AWS, and Terraform Experience owning features end-to-end, from design through to production release A track record of delivering high-quality ...

systems that prioritise correctness, reproducibility, and debuggability Help define the long-term platform and systems architecture of the company Required experience Strong experience with Python in production systems, plus at least one systems or backend language (e.g. Rust, Go, C++, Java) Experience designing, building, and running production infrastructure or platform ...

clearance Nice to have AWS Landing Zone accelerator or framework experience Kubernetes/EKS and container platforms Observability tooling (Grafana, Prometheus, ELK, OpenTelemetry) Python, Go or similar for automation Experience working directly with AWS on architecture or delivery The nitty and gritty: £120,000 – £140,000 salary depending on experience ...

Building scalable, maintainable analytical pipelines. Delivering insight and models that perform reliably in complex operational environments. What We’re Looking For Strong experience in Python and SQL, including libraries such as Pandas, NumPy and scikit-learn. Experience working with deep learning frameworks such as PyTorch or TensorFlow. A solid grounding ...

hands-on experience with LLMs, embeddings, RAG, retrieval stacks and vector databases Experience designing or implementing multi-agent systems or tool-calling frameworks Strong Python skills with experience building production-grade systems Experience working across at least one major cloud AI ecosystem (e.g. Azure/OpenAI, GCP/Vertex ...

want to become the go-to analyst in their organisation — turning data into insights that drive smarter decisions. The programme covers Excel, SQL, Python, and Power BI, but it's not just about the tools. You'll also coach on analytical problem-solving, critical thinking, communicating insights, and building business ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...