201 to 225 of 993 AWS Jobs in Central London

Strong backend or full-stack software development experience • Strong coding experience in either Java, Golang (Go), Python or Scala – multiple would be even better! • Experience with cloud platforms e.g. AWS, Azure, GCP - Google Cloud • Experience with data warehouses e.g. BigQuery, Redshift, Snowflake • Ability to work collaboratively • Open to new AI tools and technologies • Could come from roles like Senior Backend More ❯

for the following experience in Senior Java Developers: Core Java development Multithreading, concurrency, low latency Working in the financial sector e.g. FX, trading Building microservices in the cloud (GCP, AWS) with Kubernetes Product-led development – architecting, building and delivering Technical leadership: architectural decisions, mentoring, code reviews, pairing This is a brilliant company to work for with numerous generous benefits: Annual More ❯

maintaining complex distributed systems Take a proactive approach to spotting problems and areas for improvement Skills & Experience Strong Knowledge of C# and SQL Experience building on Azure, GCP or AWS At least 5 years of experience building distributed systems Excellent communication skills Can inspire and lead a team Experience overseeing multiple concurrent projects Tech Stack C# .NET Kafka Real time More ❯

the London based Engineering team. You'll ideally have experience using some of the following stack: Backend: Python, Flask/FastAPI Frontend: React with TypeScript Infra: Terraform, GCP/AWS Ideally you'll have at least an interest and have tinkered personally with LLM type projects. Huge bonus if you have commercial experience in this area alongside the above product More ❯

early stage bids What you’ll bring: Extensive engineering experience within one or more of the following languages: Java, JavaScript/TS or C# Extensive cloud deployment experience across AWS, Azure or GCP Experience with IaC, CI/CD, TDD Highly communicative and consulting astuteness to be client facing Security Clearance Eligibility (you may work on public sector projects!) The More ❯

on expertise with Databricks (PySpark/SparkSQL) environments (2+ years desirable). Expert proficiency in Python and SQL development. Experience using Databricks. Experience with cloud-based data platforms (Azure, AWS, or GCP). Prior experience in a senior contributor capacity, providing technical direction and oversight. Experience with data modeling, data lakes/warehouses, and performance tuning is highly desirable. How More ❯

background in software engineering with a strong grasp of API design, cloud architecture, and scalable system design. Hands-on coding experience with modern technologies including Typescript (Node.js/React), AWS, Kubernetes, GraphQL, Kafka. Track record of working directly with clients on technical solutions, RFPs, and complex integrations. Ability to build prototypes and proof-of-concepts that validate ideas and showcase More ❯

on expertise with Databricks (PySpark/SparkSQL) environments (2+ years desirable). Expert proficiency in Python and SQL development. Experience using Databricks. Experience with cloud-based data platforms (Azure, AWS, or GCP). Prior experience in a senior contributor capacity, providing technical direction and oversight. Experience with data modeling, data lakes/warehouses, and performance tuning is highly desirable. How More ❯

/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 ❯

on expertise with Databricks (PySpark/SparkSQL) environments (2+ years desirable). Expert proficiency in Python and SQL development. Experience using Databricks. Experience with cloud-based data platforms (Azure, AWS, or GCP). Prior experience in a senior contributor capacity, providing technical direction and oversight. Experience with data modeling, data lakes/warehouses, and performance tuning is highly desirable. How More ❯

technologies and techniques Candidate Profile 1+ years’ experience in a data-related role (Analyst, Engineer, Scientist, Consultant, or Specialist) Experience with technologies such as Python, SQL, Spark, Power BI, AWS, Azure, or GCP Strong analytical and problem-solving skills Comfortable working directly with clients and stakeholders Excellent communication and teamwork abilities Must hold active SC or DV Clearance More ❯

technologies and techniques Candidate Profile 1+ years’ experience in a data-related role (Analyst, Engineer, Scientist, Consultant, or Specialist) Experience with technologies such as Python, SQL, Spark, Power BI, AWS, Azure, or GCP Strong analytical and problem-solving skills Comfortable working directly with clients and stakeholders Excellent communication and teamwork abilities Must hold active SC or DV Clearance 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯