351 to 375 of 1,596 AWS Jobs in Central London

toolsets Good client facing skills and problem solving aptitude DevOps knowledge of SQL Oracle DB Postgres ActiveMQ Zabbix Ambari Hadoop Jira Conflucene BitBucket ActiviBPM Oracle SOA Azure SQLServer IIS AWS Grafana Oracle BPM Jenkins Puppet CI and other cloud technologies. Benefits Include: Contributory pension scheme Employee Assistance Program Medical and Dental cover 22 days holiday + bank holidays Maternity Pay More ❯

toolsets Good client facing skills and problem solving aptitude DevOps knowledge of SQL Oracle DB Postgres ActiveMQ Zabbix Ambari Hadoop Jira Conflucene BitBucket ActiviBPM Oracle SOA Azure SQLServer IIS AWS Grafana Oracle BPM Jenkins Puppet CI and other cloud technologies. Benefits Include: Contributory pension scheme Employee Assistance Program Medical and Dental cover 22 days holiday + bank holidays Maternity Pay More ❯

experience with data manipulation skills in SQL and large “Big Data” environments. Command knowledge in Python and API Development Excellent grasp of software Engineering practices – Object Orientated Programming, GIT, AWS) CI/CD practices NoSQL Databases Candidates must have security clearance - Ideally DV My client has just received a huge investment and is now in the position where they are More ❯

experience with data manipulation skills in SQL and large “Big Data” environments. Command knowledge in Python and API Development Excellent grasp of software Engineering practices – Object Orientated Programming, GIT, AWS) CI/CD practices NoSQL Databases Candidates must have security clearance - Ideally DV My client has just received a huge investment and is now in the position where they are More ❯

to date with the latest AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home More ❯

is utilised in the development workflow Full Tech Stack: Backend & Data: Python, PostgreSQL, BigQuery, MySQL Frontend: TypeScript, React, styled-components Testing: Jest, React Testing Library, Cypress, pytest Cloud & Infra: AWS, GCP, ECS Fargate, Docker, Terraform, GitHub Actions This is a unique opportunity for an engineer who understands what best practice looks like when working with AI assistance. While you won More ❯

is utilised in the development workflow Full Tech Stack: Backend & Data: Python, PostgreSQL, BigQuery, MySQL Frontend: TypeScript, React, styled-components Testing: Jest, React Testing Library, Cypress, pytest Cloud & Infra: AWS, GCP, ECS Fargate, Docker, Terraform, GitHub Actions This is a unique opportunity for an engineer who understands what best practice looks like when working with AI assistance. While you won More ❯

frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) ● Proven track record designing scalable AI architectures (RAG, Graph RAG, multi-agent systems) ● Experience with vector databases (Pinecone, Weaviate, FAISS) and major cloud platforms (AWS, Azure, GCP) ● Strong foundation in MLOps/LLMOps and Agile delivery ● Excellent leadership, communication, and stakeholder engagement skills ● 10+ years’ experience in AI/ML, including senior solution architecture or More ❯

such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding of CI/CD practices , AWS , and GIT Background in working to strict project deadlines Palantir experience is a bonus – full training will be provided if not Must have active SC or DV clearance Experience working More ❯

frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) ● Proven track record designing scalable AI architectures (RAG, Graph RAG, multi-agent systems) ● Experience with vector databases (Pinecone, Weaviate, FAISS) and major cloud platforms (AWS, Azure, GCP) ● Strong foundation in MLOps/LLMOps and Agile delivery ● Excellent leadership, communication, and stakeholder engagement skills ● 10+ years’ experience in AI/ML, including senior solution architecture or More ❯

such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding of CI/CD practices , AWS , and GIT Background in working to strict project deadlines Palantir experience is a bonus – full training will be provided if not Must have active SC or DV clearance Experience working More ❯

quantitative trading or software engineering . Familiarity with AI/ML , predictive analytics , and trading platforms (IB, MetaQuotes, B2B or C-Trader). Tech Stack: Linux-first environment on AWS . Core languages: C++ , Java , Python . Large-scale data lakes and HTML5 front ends. Why Join: Shape the firm’s operational strategy with real ownership and autonomy. High-impact More ❯

quantitative trading or software engineering . Familiarity with AI/ML , predictive analytics , and trading platforms (IB, MetaQuotes, B2B or C-Trader). Tech Stack: Linux-first environment on AWS . Core languages: C++ , Java , Python . Large-scale data lakes and HTML5 front ends. Why Join: Shape the firm’s operational strategy with real ownership and autonomy. High-impact 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 ❯

and proficiency in data modelling and data product building in Data Bricks. Developed Azure cloud experience for data storage and processing, considerations made for alternate cloud providers such as AWS and GCP. Substantial programming ability using languages/tools such as R, Python and C++ for data manipulation and scripting Solid understanding of relevant data governance, data quality, and data More ❯

Scikit-learn) Strong Python skills and familiarity with additional languages (e.g., Java, C++) Understanding of biomedical ontologies, knowledge graphs, or causal inference is a plus Familiarity with cloud platforms (AWS, Azure, GCP) and Linux environments Bonus Experience: Prior work in biomedical NLP, literature mining, or clinical informatics 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 ❯

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 ❯

trading systems in the industry. Be part of a developer-led support team that values technical depth, ownership, and problem-solving. Gain exposure to cutting-edge technologies such as AWS, Kafka, Kubernetes, and real-time data analytics pipelines. Hybrid model with 3 days per week in the office, promoting both collaboration and flexibility. If you’re a technically-minded engineer 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 ❯

frameworks (e.g., GDPR, CCPA). Expertise in data analytics tools and technologies, such as SQL, Python, R, Tableau, or similar. Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud). Excellent analytical and problem-solving skills, with a strong business acumen. Exceptional communication and interpersonal skills, with the ability to influence and engage stakeholders at all More ❯

frameworks (e.g., GDPR, CCPA). Expertise in data analytics tools and technologies, such as SQL, Python, R, Tableau, or similar. Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud). Excellent analytical and problem-solving skills, with a strong business acumen. Exceptional communication and interpersonal skills, with the ability to influence and engage stakeholders at all 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 ❯

with C++ or Go (Golang). Strong, demonstrable experiefnce with real-time, low-latency data processing. You obsess over milliseconds and understand the trade-offs. Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker). Deep understanding of API design (REST, gRPC, Webhooks) and API security (OAuth 2.0, mTLS, JWTs). Knowledge of (or deep, demonstrable More ❯