401 to 425 of 1,597 AWS Jobs in London

/PyTorch, scikit-learn, OpenCV, NumPy, Pandas Experience With: Model training, tuning, and deployment in production environments Preferred: Sports data analytics, time-series forecasting, or computer vision experience Infrastructure: AWS/GCP/Azure, Docker, Kubernetes, MLflow, CI/CD pipelines Bonus: Experience with wearable/sensor data, player tracking, or sports video analytics TO BE CONSIDERED Please apply directly More ❯

field. Key qualifications include: Strong knowledge of computer science principles and proficiency in scripting languages such as Python or Bash. Familiarity with CI/CD processes, cloud infrastructure (e.g., AWS), and Kubernetes. Experience with Python coding, system architecture, and DevOps tools. Additional skills: Linux, Docker, GitLab-CI, Jenkins, and monitoring tools. A minimum of 7 years of relevant experience. Excellent More ❯

product lines outside ITSM (e.g. ITOM, HRSD, CSM, SPM, SAM). Advanced scripting and integration skills (JavaScript, SQL, REST/SOAP APIs). Strong understanding of cloud platforms (AWS, Azure, GCP) and ServiceNow integrations. Experience operating in a Technical Design Authority capacity. Bonus: GenAI exposure, ITILv4 certification, SC clearance (or eligibility). What's in it for you More ❯

class - 2;1 Degree in Comp Sci or STEM subject from a Top ranked University 3+ years of experience in Python development Tech: Python, FastAPI, Pydantic, PostgreSQL, Numpy, Pandas, AWS DevOps tools: Kubernetes, Docker,Terraform, Jenkins Very strong software engineering principles Enthusiasm for startup environment and cross-functional teams Passion for automation and data infrastructure More ❯

class - 2;1 Degree in Comp Sci or STEM subject from a Top ranked University 3+ years of experience in Python development Tech: Python, FastAPI, Pydantic, PostgreSQL, Numpy, Pandas, AWS DevOps tools: Kubernetes, Docker,Terraform, Jenkins Very strong software engineering principles Enthusiasm for startup environment and cross-functional teams Passion for automation and data infrastructure More ❯

class - 2;1 Degree in Comp Sci or STEM subject from a Top ranked University 3+ years of experience in Python development Tech: Python, FastAPI, Pydantic, PostgreSQL, Numpy, Pandas, AWS DevOps tools: Kubernetes, Docker,Terraform, Jenkins Very strong software engineering principles Enthusiasm for startup environment and cross-functional teams Passion for automation and data infrastructure More ❯

class - 2;1 Degree in Comp Sci or STEM subject from a Top ranked University 3+ years of experience in Python development Tech: Python, FastAPI, Pydantic, PostgreSQL, Numpy, Pandas, AWS DevOps tools: Kubernetes, Docker,Terraform, Jenkins Very strong software engineering principles Enthusiasm for startup environment and cross-functional teams Passion for automation and data infrastructure More ❯

Python (With commercial GenAi FS experience) Python - FastAPI Typescript, React, Next.js or Vite LangChain, LangGraph, CrewAI, or Vercel AI (Python or JavaScript) LLM platforms: OpenAI, Anthropic, Mistral, or Llama AWS or Azure Your Responsibilities: Collaborate with the development team to build a comprehensive knowledge pool of GenAI technologies Develop innovative POCs for clients using a range of GenAI tools Design More ❯

Solid understanding of statistics, predictive modeling, and data mining techniques. Experience with data visualization tools such as Tableau, Power BI, or matplotlib/seaborn . Familiarity with cloud platforms (AWS, Azure, GCP) is a plus. Strong problem-solving, analytical, and communication skills. Preferred Qualifications MSc or PhD in Computer Science, Statistics, Mathematics, or a related field. Experience in finance, marketing More ❯

design and deployment of machine learning models Ensuring data quality, integrity, and performance across distributed systems Contributing to data architecture and storage strategy design Working with cloud data platforms (AWS, Azure, or GCP) to deploy scalable solutions Monitoring, troubleshooting, and tuning Spark jobs for performance and cost efficiency Engaging regularly with customers and internal stakeholders This is an excellent opportunity More ❯

engineering background, ideally having led development teams Strong understanding of architectural principles and delivery methodologies Experience working across domains such as Application, Technology, or Security Architecture Cloud experience with AWS, Azure, or GCP Familiarity with frameworks such as TOGAF, SAFe, or Scrum A collaborative mindset and passion for problem-solving in fast-paced environments The package Salary More ❯

engineering background, ideally having led development teams Strong understanding of architectural principles and delivery methodologies Experience working across domains such as Application, Technology, or Security Architecture Cloud experience with AWS, Azure, or GCP Familiarity with frameworks such as TOGAF, SAFe, or Scrum A collaborative mindset and passion for problem-solving in fast-paced environments The package Salary More ❯

as capital markets system integration will be a very useful complement to the above. 2. Key technology used Primary: Java 8+ Secondary: Spring FIX Hibernate (Postgres) Sockets Linux Maven AWS/Cloud deployment SVN/GIT EPL (Esper) JMS (ActiveMQ) 3. Methodology Agile/Scrum Continuous integration Test automation TDD 4. Requirements Must have Core Java SE Desire to learn More ❯

scalability, and reliability. Requirements 5+ years' experience in Data Engineering with strong Python and SQL skills. Background in building and maintaining ETL/ELT pipelines in a cloud environment (AWS or Azure). Knowledge of data warehousing (e.g., Redshift, Postgres) and tools like DBT . Familiarity with CI/CD , data modelling, and Agile practices. Comfortable collaborating with Data Scientists More ❯

markets and trading systems. Strong communication skills with the ability to collaborate across research and technology teams. Exposure to low-latency or real-time systems. Experience with cloud infrastructure (AWS, GCP, or Azure). Familiarity with data engineering tools such as Kafka, Airflow, Spark, or Dask. Knowledge of equities, futures, or FX markets. Company Rapidly growing hedge fund offices globally More ❯

role. Expertise in Python (or a similar backend language), with proven experience designing distributed systems, APIs, and microservices at scale. Deep understanding of software architecture, cloud infrastructure (Google Cloud, AWS, or Azure), and modern DevOps practices. Strong knowledge of data structures, algorithms, and system design principles. Demonstrated experience influencing technical direction across teams and driving alignment on complex engineering decisions. More ❯

Transformers, and Diffusion models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL More ❯

Transformers, and Diffusion models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL More ❯

Transformers, and Diffusion models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL More ❯

etc. Experience with object oriented design, distributed systems architecture, performance tuning. Experience with designing and programming relational database such as MySQL, RedShift, Oracle SQL Server, or Postgres. Experience with AWS based system architecture covering S3, EKS, EC2, Batch, or Airflow etc. Experience with caching and messaging technologies such as, Redis, Hazelcast, MQ, or Kafka etc. Experience with programming within a More ❯

and database design, with experience across relational, time-series, and high-availability database environments. Understanding of on-premises Linux-based infrastructure, and deploying and managing containerised/virtualised environments (AWS, OpenShift). Demonstrated ability to work within Agile/Scrum SDLC, translating business objectives into actionable user stories and robust technical deliverables. Proven ability to produce and maintain high-quality More ❯

Transformers, and Diffusion models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL More ❯

Desirable Experience: Exposure to CEP engines (Esper) or other live stream aggregation technologies. Familiarity with authentication, authorization, and endpoint security . Experience with C#/HTML/JavaScript and AWS/Terraform/CI-CD pipelines . Why Join CMC Markets? Work on high-performance trading systems that have global impact. Collaborate with a team of passionate technologists and market More ❯

governance processes and balance technical innovation with compliance and risk. Deep understanding of secure development principles, DevOps practices, and systems resilience. Relevant technical certifications (e.g. TOGAF, Azure Solutions Architect, AWS Certified Architect) desirable. Diversity, equity and inclusion We are committed to equal opportunities for all and will not discriminate on any grounds. We encourage applications from people from the widest More ❯

security, with at least 3+ years in software development. Strong understanding of application security concepts, including secure coding practices, threat modeling, vulnerability management, and access control mechanisms. Experience with AWS, Kubernetes, Service Mesh, and API Security (including authentication and authorization). Proficiency in programming languages such as Python, Java, JavaScript, GoLang, and Rust. Familiarity with Agile methodologies like SCRUM, along More ❯