326 to 350 of 390 AWS Jobs in Central London

user-centric design for AI interfaces and intelligent automation. Experience with AI frameworks (PyTorch, Tensorflow, Hugging Face etc.). Preferred Skills Preferred knowledge of AWS, particularly AWS Bedrock for LLM deployment and orchestration. Self-motivated with a strong growth mindset. Pay range and compensation package Competitive salary and performance-based ...

client currently seeks an SC cleared AWS Solutions Architect to join their team on an initial 6 month contract. This role is Hybrid (2/3 days a month based in the office in London). Skills: 5+ years of hands-on AWS infrastructure experience. Strong expertise with AWS CloudFormation … . Practical experience managing and troubleshooting Amazon EKS clusters . Deep understanding of Kubernetes fundamentals (pods, deployments, services, networking, ingress, secrets). Experience with AWS core services: EC2, VPC, IAM, S3, RDS, Route 53, CloudWatch, Lambda, and others. Strong networking fundamentals (DNS, TLS, VPNs, VPC routing, load balancing). Proficiency ...

Required Technical Skills Data Pipeline & ETL Design, build, and maintain robust ETL/ELT pipelines for structured and unstructured data Hands-on experience with AWS Glue and AWS Step Functions Implementation of data validation, data quality frameworks, and reconciliation checks Strong error handling, monitoring, and retry strategies in production pipelines … Experience with incremental data processing patterns (CDC, watermarking, upserts) AWS Data Services Amazon S3: data lake architectures, partitioning strategies, lifecycle policies DynamoDB: data modeling, secondary indexes, streams, and performance optimization Amazon Redshift: foundational querying, integrations, and performance considerations AWS Lambda for scalable data processing and orchestration Amazon EventBridge for event ...

Cleared AWS DevOps Engineer Initial 3-month Contract Role 2-3 days a week on-site in London £370 - £375, Inside IR35 We're recruiting on behalf of a Global Services Provider who are looking for an SC Cleared AWS DevOps Engineer with strong expertise in Infrastructure as Code, AWS ...

commercial teams Driving improvements in architecture, tooling and development practices Contributing through code reviews, pair programming and technical discussions Building and deploying services on AWS using cloud-native tools and services Tech environment: Python, FastAPI, Django, AWS, Kubernetes, Terraform, PostgreSQL, OpenSearch, GitHub, Helm What were looking for in a Back … Engineer: Strong commercial experience building backend systems in Python Hands-on experience working with AWS cloud services Experience working with cloud-native or microservice architectures Solid knowledge of databases, OO design, data structures and SOLID principles Strong communication skills and a collaborative mindset Whats on offer: Competitive salary + performance ...

delivery, you will design, build, and operate the runtime, infrastructure, and operational layers supporting RAG pipelines, LLM orchestration, vector search, and evaluation workflows across AWS and Databricks. Working closely with senior AI engineers and product teams, you'll ensure AI systems are scalable, observable, secure, and cost-efficient, turning experimental … products. Build, operate, and optimise RAG and LLM-backed services, improving latency, reliability, and cost. Design and run cloud-native AI services across AWS and Databricks, including ingestion and embedding pipelines. Scale and operate vector search infrastructure (Weaviate, OpenSearch, Algolia, AWS Bedrock Knowledge Bases). Implement strong observability, CI/ ...

skills. Key Responsibilities: Design and implement data science models (predictive, prescriptive, and descriptive analytics) to solve complex business problems. Work across multi-cloud platforms (AWS, Azure, GCP) to build and deploy scalable machine learning solutions. Collaborate with stakeholders to translate business requirements into technical solutions . Lead data strategy … projects. Strong proficiency in Python , R , and data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Expertise in multi-cloud environments (AWS, Azure, GCP) including services like S3, BigQuery, Azure ML, etc. Solid understanding of data engineering principles , SQL, and distributed computing frameworks (Spark, Hadoop). Experience in consulting ...

domains Data platform and engineering technologies and services such as Databricks, Snowflake, Palantir. Data services from major cloud providers such as Google Cloud, AWS, and Microsoft Azure. Designing and deploying robust, scalable, and secure cloud-based solutions (networking, security, storage, monitoring, scaling, disaster recovery/high availability … yourself apart: Proven ability to deliver enterprise-scale data and AI services that impact end-user experiences and business outcomes. Certified cloud credentials (e.g., AWS Certified Solutions Architect – Professional). Experience in leading teams and influencing cross-functional stakeholders in delivering production-grade data and AI solutions. What ...

face to face & online) Akers capabilities, credibility & technical value proposition aligned to specific sectors. Remain current with industry trends in data platforms, cloud technologies (AWS, Azure, GCP) and data governance to inform solution design. Collaborate with sales, delivery and product teams to shape and articulate solutions that are technically sound … record (4+ yrs) in pre-sales solution architecture with direct ownership of technical RFx/ITQ responses and multiple successful £M+ bids Cloud-based (AWS, Azure GCP) data modernisation experience using event-based architecture, real-time data processing & data product thinking Ability to establish credibility quickly with senior technical ...

preparations, collaborating with Data/AI Engineers on full lifecycle deployments Build & deploy scalable solutions: create data pipelines (ETL/Airflow), MLOps (Docker/AWS/Azure/GCP), and interactive dashboards (Tableau/Power BI) Drive client impact – from EDA and model validation to ethics-compliant AI strategies across … industries, including some time in a client-facing role Core tech stack: Python/Java, TensorFlow/PyTorch/scikit-learn, cloud AI services (AWS/GCP/Azure), ETL tools, and data visualization. Agentic AI edge – ideally familiar with tools like LangChain Agents, AutoGPT, CrewAI, plus GenAI/LLMs ...

Role : Senior Backend Engineer Salary range: 80-90k Location : x2 days pw in Central/East London Tech stack includes : Typescript, NodeJS, SQL, AWS, Terraform, Current team size : overall circa 20 (each team dedicated EM, FE, BE, iOS/Android etc) We're working with a Series C funded … Node ideally but welcome other backgrounds. Self starter/autonomous - evidence of being able to own things independently. Problem solver mentality Product mindset Bonus: AWS/Serverless experience **No sponsorship available sorry ...

scaling Start-Up 🚀 💰Up to £85,000 per annum 🏡Office based in Old Street, flexible with hybrid/remote working 💻TypeScript, Node.js, React.js, AWS, SQL We’re currently partnered with a scaling Start-Up who are looking for a Software Engineer (Full Stack Engineer) to join their scaling business. … business problems, design, implementation and release of crucial features across their stack Design and develop scalable and efficient solutions within JavaScript/TypeScript and AWS technologies You'll be involved in the Frontend, Backend and DevOps requirements across the projects Work closely with cross-functional teams and communicate technical requirements ...

scaling Start-Up 🚀 💰Up to £100,000 per annum 🏡Office based in Old Street, flexible with hybrid/remote working 💻TypeScript, Node.js, React.js, AWS, SQL We’re currently partnered with a scaling Start-Up who are looking for a Senior Full Stack Engineer to join their scaling business. The business … business problems, design, implementation and release of crucial features across their stack Design and develop scalable and efficient solutions within JavaScript/TypeScript and AWS technologies You'll be involved in the Frontend, Backend and DevOps requirements across the projects Work closely with cross-functional teams and communicate technical requirements ...

scalability as you process data from real-world construction sites globally. Tech Stack Focus: Develop primarily using Python in a modern cloud infrastructure (AWS preferred). Drive Company Success: Tackle complex, real-world engineering challenges that directly influence the company’s product maturity and market success. About You A seasoned … dynamic environment where your architectural decisions have company-wide impact. Have a proven track record of being a collaborative team player! Skilled in AWS, Docker/Kubernetes , and message queuing/streaming systems ( SQS, Kafka, or RabbitMQ ). You care deeply about writing clean, testable code and building observable systems ...

client challenges, showcase product capabilities, gather feedback, and influence development priorities. Model Deployment: Work closely with engineers to productionize models on cloud platforms (Azure, AWS, or GCP) using MLOps and DevSecOps best practices. Continuous Improvement: Partner with the Product Owner to monitor model performance and user feedback, refining algorithms, enhancing … TensorFlow, Keras, PyTorch, or MXNet. Agile & DevSecOps: Familiarity with Agile methodologies and DevSecOps practices, including Git for version control. Cloud Platforms: Exposure to Azure, AWS, or GCP, with a strong interest in building scalable solutions. Communication Skills: Ability to translate complex data concepts for both technical and non-technical audiences ...

bring: Strong hands-on experience with GenAI, LLMs, agentic frameworks , or chat/workflow apps. Excellent Python and software engineering fundamentals. Solid cloud experience (AWS preferred, GCP/Azure fine). Product-minded approach and ability to work cross-functionally. 2. Senior AI Engineer - Information Retrieval (Engineering-Focused) Own engineering … ability to contribute to production code when needed. 📌 What We’re Looking For Across All Senior Roles Technical Requirements Strong Python skills Cloud experience ( AWS preferred ) Experience deploying ML/LLM/IR models Background in at least one of: LLMs & GenAI Information Retrieval NLP/Document Processing Transformer-based ...

where high-growth startups turn when they need to move faster, scale smarter, and make the most of the cloud. As an AWS Premier Partner and Strategic Partner, we deliver hands-on DevOps, FinOps, and GenAI support that drives real results. We work across EMEA and the US, fueling innovation … with customers and partners and attend local events) and abroad (at least once a quarter). Requirements: 3+ years of hands-on experience in AWS, including solution design, migration, and maintenance 2+ years in customer-facing technical roles (e.g., SRE, Cloud Architect, Customer Engineer) Production experience with AWS infrastructure, data ...

AWS specialist who thrives on solving complex architecture challenges? We’re hiring a Lead Cloud Engineer (AWS) to design and deliver enterprise-scale landing zones that set the standard for my clients cloud excellence. This isn’t just another cloud role. You’ll be the technical authority behind secure, scalable … AWS foundations for my clients large-scale organisation. From multi-account landing zones to IaC modularisation , you’ll define best practices and lead engineering teams in building platforms that enable transformation at speed and scale. Here’s what makes this role stand out: Landing Zone Leadership – Architect and implement AWS ...

DevOps Engineer you will be in charge of designing and maintaining both cloud and physical infrastructure. For the cloud side, they use AWS and as part of the physical infrastructure, you will need to go to their datacentre from time to time. This role is ideal for a junior … highly varied role where you will get the opporunity to own and drive forward DevOps projects in this company. Some you the AWS services you will get to use include: EC2, DynamoDB, Elastic Beanstalk, Route 53, Lambda, Cloudfront, AWS Firewall Manager, Terraform, Certificate Manager, Cloudwatch, CloudTrail and SNS/SQS. ...

payment technology are endless. You will be in charge of designing and maintaining both cloud and physical infrastructure. For the cloud side, they use AWS and as part of the physical infrastructure, you will need to go to their datacentre from time to time, working with Cisco and Juniper switches … highly varied role where you will get the opporunity to own and drive forward DevOps projects in this company. Some you the AWS services you will get to use include: EC2, DynamoDB, Elastic Beanstalk, Route 53, Lambda, Cloudfront, AWS Firewall Manager, Terraform, Certificate Manager, Cloudwatch, CloudTrail and SNS/SQS. ...

shape the backbone of our data infrastructure. You will play a pivotal role in high-impact projects such as migrating our systems to AWS, consolidating our databases, worked on our python based AI backend and building a unified environment optimized for cost, latency, and scalability. This is a high-impact … challenges, and help power the next generation of educational technology. Role Responsibilities Build and optimize a unified, cost-efficient, low-latency data environment within AWS Work on our AI backend and help make it scale proof Help with migration to AWS Consolidate mobile and web databases into one optimized Postgres ...

experience in AI, machine learning and statistics Python expertise (e.g. pandas, NumPy, scikit-learn, PyTorch, transformers) Experience deploying models and working with cloud platforms (AWS preferred) Ability to communicate complex technical concepts clearly Desirable AWS services (SageMaker, ECS, Lambda, S3, Bedrock) MLOps/ML engineering experience (Docker, MLflow) Experience ...

hands-on. Collaborate with internal infra/platform teams to align capabilities and avoid duplication. Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes. Mentor junior engineers and set best practices for AI/ML infrastructure. Influence across organisational boundaries and champion modern engineering trends. Stay … ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech Stack Programming: Python (Java familiarity is a plus). AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more. On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. Why This Role is Different Direct Impact: Build ...

driven trading. Collaborate with internal infra/platform teams to align capabilities and avoid duplication. Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes. Contribute to best practices for AI/ML infrastructure and mentor junior engineers when needed. Work across organisational boundaries and champion modern … Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech Stack Programming: Python (Java familiarity is a plus). AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more. On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. Why This Role is Different Direct Impact: Build ...

Feature engineering, data quality validation, model training and optimisation. MLOps: experiment tracking (eg, MLflow), model registry, CI/CD for ML. Serving and orchestration: AWS SageMaker, EKS, batch & Real Time inference. Data pipelines: Spark/SQL, orchestration (Airflow), monitoring for drift/perf. Nice to Have Cost/performance optimisation … AWS; GPU scheduling; quantisation/distillation. Experience working within Financial Services engineering standards and governance. IND_PC3 Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy. ...