301 to 325 of 798 AWS Jobs in Berkshire

productionised at scale, and watch your pipelines power real outcomes. What you will do Build robust, well structured data pipelines in Python and SQL, Work across cloud platforms, Azure, AWS, or GCP, Integrate machine learning outputs into data products, Automate and monitor flows so data moves securely and reliably, Contribute to DevOps practices, CI and CD, testing and observability. What More ❯

scalability decisions Building robust APIs and backend systems that power real-world AI products Helping shape the engineering culture and technical direction of the company 🛠️ Tech Stack Python | FastAPI | AWS | LangChain | TypeScript | Next.js (You don’t need to know every tool — they’re looking for curious engineers who love to learn fast.) 💰 Compensation & Equity There are no preset limits on More ❯

end-to-end technical success of enterprise customers — from proof of value to renewal — ensuring adoption, performance, and measurable ROI. Key Responsibilities Architect and deploy optimized development environments across AWS, Azure, or GCP. Partner with engineering and platform teams to accelerate developer productivity. Deliver technical coaching, onboarding, and documentation for scalable success. Conduct technical audits, identify improvements, and champion product More ❯

field. 2+ years of experience in data engineering, BI development, or analytics. Background in asset management, hedge funds, or investment banking is advantageous. Nice to Have: Experience with Azure, AWS, or GCP cloud platforms. Familiarity with data governance frameworks and AI privacy/safety. Exposure to ESG data and reporting processes. More ❯

MSc/PhD in a quantitative discipline. Experience with optimisation frameworks (Gurobi, OR-Tools). Knowledge of financial markets, derivatives, or clearing/margin optimisation. Hands-on experience with AWS, PostgreSQL, or distributed computing. Why Join? Solve complex mathematical challenges with global financial impact. Work in a collaborative, research-driven team where curiosity and creativity are valued. Benefit from a More ❯

nurture a culture of ownership, innovation, and continuous improvement What You’ll Bring Strong experience with TypeScript, Node.js, and React Solid background in Python and cloud platforms (GCP/AWS) Proven track record of leading small, high-performing teams Experience working in startups or fast-paced product environments Bonus: experience with AI/ML , AdTech , MarTech , or analytics products Why More ❯

Git), and CI/CD practices Creative problem-solver with a bias toward action and experimentation Nice to Have Experience deploying AI agents at scale Knowledge of cloud platforms (AWS, GCP, Azure) Background in data engineering, NLP, or ML Ops Why Join Us Work on cutting-edge AI projects with real-world impact Collaborate with a world-class engineering team More ❯

work used by real customers immediately Help define the technical architecture and product roadmap Experiment with AI-driven automation and large-language-model workflows Tech: TypeScript, React, Node, GraphQL, AWS, Temporal, LangChain (They're open to Engineers from any language background, as long as you're happy in this tech environment). You’ll be a great match for this More ❯

security frameworks (NIST, ISO 27001, TOGAF, SABSA). Proven experience in adversarial machine learning and ethical AI governance. DevSecOps expertise for AI/ML pipelines and cloud security (Azure, AWS, GCP). Driven, detail-oriented, and adept at consulting-led sales. Business development and commercial acumen (must have for upper end of banding). Ability to obtain UK SC clearance. More ❯

enterprise or solution architecture, ideally within the Energy & Utilities sector. Proven track record designing and delivering large-scale, complex technology transformations for Tier 1 clients. Strong grasp of Cloud (AWS, Azure, GCP), Data, AI, and automation technologies. Experience leading architecture through all phases — from strategy and roadmap design to execution and governance. Deep understanding of sector-specific challenges and the More ❯

and BI tools (Power BI, Tableau, Looker). Comfortable working with APIs, data pipelines and collaborating with developers. Excellent communication and stakeholder management skills. Desirable: Exposure to cloud environments (AWS, Azure, GCP). Experience with underwriting workbenches or no-code model deployment tools. London Market or specialty insurance experience. Why Apply?: Join one of the most exciting growth stories in More ❯

driven environment Strong proficiency in Python (or Scala/Java) and SQL Deep experience with data pipeline orchestration tools (Airflow, dbt, Dagster, Prefect) Strong knowledge of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift) Hands-on experience with streaming technologies (Kafka, Kinesis, or similar) Solid understanding of data modelling, governance, and architecture best practices Familiarity More ❯

quality and maintainability. Nice-to-Have Skills Familiarity with GUI frameworks such as React or Qt. Background in medical devices or regulated industries (automotive, aerospace, finance). Experience with AWS, systems engineering, and security best practices. Why Join Contribute to impactful, life-saving medical technology. Work with cutting-edge embedded and cloud-connected systems. Collaborate within a talented, cross-functional More ❯

understanding of Network Connectivity Advantageous Experience: · Familiar with the Elastic Stack (Elasticsearch/Kibana/Logstash) · Familiar with Devops technologies such as Ansible/Chef/Puppet · Familiar with AWS · Experience with object orientated coding. · Experience with Jira Service Desk or other relevant service desk tool · Experience with Confluence or SharePoint More ❯

scalable data models and intelligent pipelines Translate lab (LIMS/ELN) and scientific workflows into cloud-native, production-ready tools Own, prototype and implement these solutions using Python, APIs, AWS Collaborate with Scientists, Product, Engineers, and AI teams to prioritise painpoints and ensure rapid product development Hold visibility and influence across both customer environments and the product roadmap Location More ❯

researchers, turning cutting-edge ideas into production-ready systems used by leading Frontier labs. You Might Be a Fit If You... Have deep experience building scalable, cloud-based systems (AWS or GCP) Are fluent in typed languages such as TypeScript/Node.js, Python, Golang etc... and are pragmatic about using the right tool for the job Have led complex engineering More ❯

threat modelling. Familiarity with key security frameworks such as NIST, ISO 27001, TOGAF, SABSA . Current certifications such as CISSP, CISM, or equivalent . Experience with cloud environments (Azure, AWS, GCP) and DevSecOps for AI pipelines. Strong understanding of data privacy and AI governance standards. Excellent communication and stakeholder engagement skills, from technical teams to C-suite. Ability to obtain More ❯

Experience leading or mentoring engineers in a technical leadership role Deep understanding of Flutter architecture, state management, testing and deployment workflows Comfortable with REST APIs, WebSockets, microservices, Firebase and AWS Experience building CI/CD pipelines and working with tools like Git, Docker and Jenkins A collaborative communicator who enjoys solving complex technical challenges What’s on offer Up to More ❯

tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross-functionally with marketing, CRM, and engineering teams. Excellent communication and More ❯

require real-time and low latency, maintaining data feeds and developing key underlying transport protocols for data transmission. The platform has been built with C++ and C# deploying to AWS and requires high scalability and low latency - they currently handle 40 billion messages per day. Location/WFH: You'll join colleagues in the City office three days a week More ❯

and operating scalable data platforms. Proven experience in a leadership or technical lead role, with official line management responsibility. Strong experience with modern data stack technologies, including Python, Snowflake, AWS (S3, EC2, Terraform), Airflow, dbt, Apache Spark, Apache Iceberg, and Postgres. Skilled in balancing technical excellence with business priorities in a fast-paced environment. Strong communication and stakeholder management skills More ❯

Engineer will have the following skills and experience: Strong Python (python frameworks), backend development experience (3+ years) Experience working with AI/ML or big data systems. Familiarity with AWS , Redshift , or other cloud data platforms (GCP/Azure also welcome). Background in AdTech, MarTech or experience with Meta Marketing API or Google Ads API is a plus. Ability More ❯

expertise with: Cisco 9500/9300 series switches, 2900/4400 routers Juniper SRX Firewalls, Cisco Meraki appliances Core technologies: BGP, OSPF, HSRP, spanning tree, VPNs, dot1x, ACI fabric AWS Direct Connect and Transit Gateways Knowledge of Cisco ISE and network automation (Terraform desirable) Excellent analytical, communication, and problem-solving skills A proactive mindset with the ability to work independently More ❯

/revenue targets Experience within one or more of our core technology areas: Software Engineering, Data, AI & Machine Learning, ERP (SAP/Oracle/Salesforce/MS Dynamics), Cloud (AWS/Azure/GCP), or Data Centre software/hardware Perks and Benefits Holiday – 30 days annual leave, plus a 6-week sabbatical after 5 years of service Wellbeing – Hybrid More ❯

experience in data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow), and ELT/ETL tools. Familiarity with 2D and 3D data formats (e.g., OBJ, FBX, glTF), point clouds, and large-scale computer vision datasets More ❯