Job ID: 2966946 | Amazon UK Services Ltd. - A10 This position is available at any CORP location in EMEA : London, Manchester, Paris, Madrid, Barcelona, Luxembourg, Milan, Munich, Leipzig, ... The Risk Manager, Innovation supports Global Security Risk Management & Resilience by leading initiatives that transform complex risk-related data into actionable insights across Amazon’s worldwide operations. This role blends … that enable risk & resilience operating model. • Collaborating with engineers and analysts to improve data and system performance. About the team Working in partnership with our stakeholders, we secure the Amazon supply chain end-to-end. The Global Risk Management & Resilience team creates and maintains a comprehensive risk framework to ensure continuation of our business, providing risk oversight, risk preparedness … of leading complex, global risk management programs and digital transformation initiatives. PREFERRED QUALIFICATIONS - Experience in program or project management - Understanding of risk modeling. - Familiarity with AWS tools (Redshift, RDS, SageMaker) for data storage and analysis. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions More ❯
Power BI, Qlik, etc.) Familiarity with predictive analytics and AI, e.g. machine learning Working knowledge of data platforms such as Snowflake and Databricks; ML platforms such as Azure ML, AmazonSageMaker, Google Vertex, etc; as well as R and/or Python Familiarity with web technologies such as JavaScript, security protocols, application integration, and embedding Degree or equivalent More ❯
team environments. Nice to haves: experience with Bayesian modelling and probabilistic programming libraries such as PyMC; proven ability in the creation and deployment of fraud detection models; familiarity with AmazonSagemaker and its various features used in model development and deployment. Your Personal Attributes Be self-motivated and comfortable working in a fast-paced environment where priorities evolve. More ❯
London, England, United Kingdom Hybrid / WFH Options
Definely
test suites. Experience working on AI/LLM projects such as testing model accuracy, correctness, completeness, and performance. Experience with Azure OpenAI Service, AWS Bedrock, and/or AWS Sagemaker is a plus. Experience in software QA methodologies, tools and processes. Experience in mapping test strategies to requirements, creating detailed test cases and test plans, and preparing test data. … with agile software development methodologies such as Scrum or Kanban. Familiarity and/or experience with Microsoft Office, Postman, Jira, Confluence, Bitbucket, Git, TeamCity, Octopus Deploy, Microsoft Azure, and Amazon AWS. Someone who isn't afraid of responsibility, loves learning and sharing, and a down-to-earth personality. Software certifications are a bonus. What we offer An opportunity to More ❯
Power BI, Qlik, etc.) Familiarity with predictive analytics and AI, e.g. machine learning Working knowledge of data platforms such as Snowflake and Databricks; ML platforms such as Azure ML, AmazonSageMaker, Google Vertex, etc; as well as R and/or Python Familiarity with web technologies such as JavaScript, security protocols, application integration, and embedding Degree or equivalent More ❯
working on AI/LLM projects such as testing model accuracy, correctness, completeness, and performance is a plus. Experience with Azure OpenAI Service, AWS Bedrock, and/or AWS Sagemaker is a plus. Experience in software QA methodologies, tools and processes. Experience in mapping test strategies to requirements, creating detailed test cases and test plans, and preparing test data. … with agile software development methodologies such as Scrum or Kanban. Familiarity and/or experience with Microsoft Office, Postman, Jira, Confluence, Bitbucket, Git, TeamCity, Octopus Deploy, Microsoft Azure, and Amazon AWS. Someone who isn't afraid of responsibility, loves learning and sharing, and a down-to-earth personality. Software certifications are a bonus. About Definely At Definely, we're More ❯
London, England, United Kingdom Hybrid / WFH Options
Version 1
in a consultancy, pre-sales, or technical advisory role. Knowledge and experience of one or more of the following key data technologies; Azure Fabric, SQL Server, Databricks, Snowflake, AWS AmazonSagemaker, Oracle or equivalents. Proposal & Communication Expertise Strong written and verbal communication skills, with a proven ability to articulate complex concepts to technical and business audiences. Experience of More ❯
with creating APIs using GraphQL Experienced with AWS Typescript CDK Experienced with Document DBs such as MongoDB and DynamoDB Experienced with AWS Data Pipelines such as AWS Glue and SageMaker Bonus Experience NestJS framework Creating APIs using GraphQL AWS Typescript CDK MongoDB, DynamoDB and other document DBs AWS Data Pipelines like Glue, DMS, SageMaker Perks & Benefits Competitive Salary More ❯
in Data Science & ML Expert in Python , data wrangling, EDA, modelling, validation, and deployment Strong in supervised & unsupervised learning ; exposure to NLP/OCR a plus Proficient with AWS SageMaker , Databricks ; Palantir Foundry/AIP is a big plus Insurance/underwriting/claims background is a bonus Confident communicator with client-facing experience 🎯 Interview Process: Round 1: Technical More ❯
City of London, London, United Kingdom Hybrid / WFH Options
MANNING SERVICES LIMITED
in Data Science & ML Expert in Python , data wrangling, EDA, modelling, validation, and deployment Strong in supervised & unsupervised learning ; exposure to NLP/OCR a plus Proficient with AWS SageMaker , Databricks ; Palantir Foundry/AIP is a big plus Insurance/underwriting/claims background is a bonus Confident communicator with client-facing experience 🎯 Interview Process: Round 1: Technical More ❯
London, England, United Kingdom Hybrid / WFH Options
NatWest Group
various coding languages to build scalable, robust and efficient models Hands-on proven experience as a Full Stack Developer or similar role, with experience working on Snowflake, Python, AWS-Sagemaker, React, DevOps and Git Familiarity with RESTful APIs and microservices architecture Knowledge of Software Testing framework and practices Hours 35 Job Posting Closing Date: 20/06/ More ❯
data quality Ability to work both independently and collaboratively in a team environment Proficiency in R Solid knowledge of SQL Working experience with Python Familiarity with Cloud environments: AWS & Sagemaker would be advantageous #J-18808-Ljbffr More ❯
CloudFormation or Terraform Monitoring and performance tuning of cloud-based applications and services Nice to haves: (MLOps): Model Deployment & Serving - Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance. Monitoring & Retraining - Set up model drift detection, performance monitoring, and automated retraining. ML Pipelines & CI/CD - Automate end-to-end ML workflows. More ❯
London, England, United Kingdom Hybrid / WFH Options
Enigma
training (data and model parallelism). Experience working on biological data curation, including data cleansing and preprocessing of -omics datasets. Exposure to cloud-based ML orchestration frameworks such as Sagemaker and Vertex AI. Experience with model deployment in an enterprise setting. For immediate consideration please send your most up to date CV to jason@enigma-rec.ai Seniority level : Mid More ❯
other relevant languages and technologies such as Java, LangGraph, MCP, Agentic Workflows, Knowledge Graphs, Vector search, and no/low-code frameworks. Familiarity with platforms like Microsoft OneLake, AWS Sagemaker, Databricks, and Snowflake. Work in a Way that Works for You: We promote a healthy work/life balance across the organization. We offer an appealing working prospect for More ❯
libraries like XGBoost, Prophet, PyTorch, Scikit-learn Deep knowledge of MLOps , reproducibility practices, and scalable experimentation Experience deploying models with CI/CD pipelines, containerisation , and cloud tools (e.g., SageMaker, Vertex AI, GCP pipelines ) Strong data engineering instincts - including building and optimising ETL processes for large, structured and unstructured datasets Exceptional collaboration skills with the ability to influence both More ❯
London, England, United Kingdom Hybrid / WFH Options
Fruition Group
Contract AWS Solutions Architect/Engineer Day rate - D.O.E UK Wide Fully Remote (Must be UK based) Fruition Group are helping one of the highest regarded AWS Consultancies in the UK look for multiple AWS Architects/AWS Engineers to More ❯
Solutions Architect - Data Modernization Searce means ‘a fine sieve’ & indicates ‘to refine, to analyze, to improve’. It signifies our way of working: To improve to the finest degree of excellence, ‘solving for better’ every time. Searcians are passionate improvers More ❯
Senior Delivery Consultant -Data Analytics & GenAI, AWS Professional Services Public Sector Job ID: 2981201 | Amazon Web Services Australia Pty Ltd Are you a Senior Data Analytics and GenAI consulting specialist? Do you have real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake, Data Engineering and GenAI experience? Do you have senior stakeholder engagement experience to … decisions and desired customer outcomes. Key job responsibilities Expertise: Collaborate with pre-sales and delivery teams to help partners and customers learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, AmazonSageMaker, Amazon Quicksight and Amazon Bedrock. Solutions: Support pre-sales and deliver technical engagements with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings. Delivery: Engagements include projects proving the use of AWS services to support new distributed computing More ❯
Software Development Engineer, NextGen Security Automation Job ID: 2902838 | Amazon UK Services Ltd. At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate … healthcare, operations, and physical stores. The NextGen Security Automation team is looking for a skilled and driven Software Development Engineer (SDE II) to build autonomous security solutions that protect Amazon’s customers. As an SDE II, you will leverage AI/ML technologies to automate detection, analysis, and response across proactive, offensive, and defensive security at scale. Your work … will directly enhance Amazon’s security posture by improving detection capabilities, strengthening guardrails, and advancing automated security tools. Key job responsibilities Design and develop AI/ML-driven security automation systems to detect and mitigate threats at scale. Build and maintain scalable applications that enable real-time threat detection and response. Collaborate with security teams to enhance existing security More ❯
candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most … and orchestration approaches - Hands-on experience with model customization techniques such as fine-tuning, continued pre-training, and LLM-as-judge evaluation - Experience with optimization of models on GPUs, Amazon Silicon, or TPUs, also experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/or similar tools - Experience building generative AI applications on … AWS using services such as Amazon Bedrock and AmazonSageMakerAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of More ❯
London, England, United Kingdom Hybrid / WFH Options
Birdie
and deliver measurable improvements. Build and Maintain Scalable Production AI Infrastructure: Architect and manage robust AI infrastructure, integrating models into our platform and ensuring seamless data flow using AWS SageMaker/Vertex AI. Evaluate and Implement Emerging Technologies: Research and implement cutting-edge AI technologies, including generative AI and reinforcement learning, to enhance platform capabilities and drive innovation. Build … about emerging technologies (e.g., generative AI, reinforcement learning) and rapidly evaluates their pros/cons for practical applications. Proven expertise in building and deploying machine learning models using AWS SageMaker/Vertex AI. Experience with ML frameworks such as PyTorch or TensorFlow. Experience with cloud based API's such as OpenAI APIs or Hugging Face. Excellent communication skills and More ❯
assessment in insurance, particularly in underwriting and claims. Apply natural language processing (NLP) for tasks like document classification and information extraction using OCR. Utilize cloud-based platforms like AWS SageMaker and Databricks for scalable model training and deployment. My client is providing access to; Hybrid 2 days (London), 28 Days Holiday, Plus Bank Holiday Private Medical Health Pension Scheme More ❯
assessment in insurance, particularly in underwriting and claims. Apply natural language processing (NLP) for tasks like document classification and information extraction using OCR. Utilize cloud-based platforms like AWS SageMaker and Databricks for scalable model training and deployment. My client is providing access to; Hybrid 2 days (London), 28 Days Holiday, Plus Bank Holiday Private Medical Health Pension Scheme More ❯
data processing frameworks such as Kafka, NoSQL, Airflow, TensorFlow, or Spark are essential. Additionally, experience with cloud platforms like AWS or Azure, including data services such as Athena or SageMaker, is crucial. This is a fantastic opportunity for a Data Engineer to join a rapidly expanding start-up at an important time, offering great progression opportunities. The Role: Build More ❯