Birmingham, Staffordshire, United Kingdom Hybrid / WFH Options
Deloitte LLP
for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate effectively More ❯
Guildford, Surrey, United Kingdom Hybrid / WFH Options
Deloitte LLP
for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate effectively More ❯
Web Services, leveraging AWS Data pipeline to process and move data using AWS services like EC2, S3, Hive, Elastic MapReduce, DynamoDB and PostgreSQL. Preferred qualifications include experience with Java, Spark, Spring Boot, RabbitMQ, MQTT, and SQL. Additionally, familiarity with data analytics, AI tools, data visualization, and business intelligence platforms is advantageous. You must be able to successfully perform the More ❯
s fastest-growing scale-ups Experience mentoring junior engineers and establishing best practices within a team Experience in the following would be beneficial: Working with big data technologies, ideally Spark, but experience with others such as Hadoop or Elasticsearch is also valuable Exposure to DevOps tooling and practices (we care deeply about automation and tooling, and even have a More ❯
business value and how to deliver this end to end then this is the role you've been searching for. We're looking for someone with an entrepreneur's spark who wants to collaborate with business partners in an agile manner to create ah-ha moments, which fuels the thirst for more insights and data driven solutions. You'll More ❯
REST APIs and integration techniques Familiarity with data visualization tools and libraries (e.g. Power BI) Background in database administration or performance tuning Familiarity with data orchestration tools, such as Apache Airflow Previous exposure to big data technologies (e.g. Hadoop, Spark) for large data processing Strong analytical skills, including a thorough understanding of how to interpret customer business requirements More ❯
Data Engineer Sr - Informatica ETL Expert page is loaded Data Engineer Sr - Informatica ETL Expert Apply locations Two PNC Plaza (PA374) Birmingham - Brock (AL112) Dallas Innovation Center - Luna Rd (TX270) Strongsville Technology Center (OH537) time type Full time posted on More ❯
adoption in Fortune 500 organizations in markets such as: Finance, Media, Retail, Telco, Energy, and Healthcare Implement a project schedule with experience with customer engagement Experience with Databricks products, Spark ecosystem, and direct competitors Travel is required up to 10%, more at peak times. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide … Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, ApacheSpark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that More ❯
South West London, London, United Kingdom Hybrid / WFH Options
Anson Mccade
on experience with cloud platforms like AWS, Azure, GCP, or Snowflake. Strong knowledge of data governance, compliance, and security standards (GDPR, CCPA). Proficiency in big data technologies like ApacheSpark and understanding of data product strategies. Strong leadership and stakeholder management skills in Agile delivery environments. Package: £90,000 - £115,000 base salary Bonus Pension and company More ❯
and user needs Qualifications 5+ years of hands-on experience with Python, Java and/or C++ Development of distributed systems Kubernetes (K8s) AWS (SQS, DynamoDB, EC2, S3, Lambda) ApacheSpark Performance testing Bonus Search system development (indexing/runtime/crawling) MLOps development and/or operations The cash compensation range for this role is More ❯
Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, ApacheSpark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that More ❯
Strong track record delivering production-grade ML models Solid grasp of MLOps best practices Confident speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯
Strong track record delivering production-grade ML models Solid grasp of MLOps best practices Confident speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯
or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this role looks of interest, please apply here. Please note - this role cannot offer visa sponsorship. More ❯
or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this role looks of interest, please apply here. Please note - this role cannot offer visa sponsorship. More ❯
and Kubernetes Familiarity with graph databases and graph traversal languages like Cypher and Infrastructure as code tools (Pulumi, Cloudformation, Terraform) Hands-on experience with distributed computing technologies like Hadoop, Spark, Flink Comfortable with independently diagnosing issues across the entire stack network, application or server using tools such as ( JVM Profiling, Wireshark, Charles, debuggers More ❯
Test-driven development Reviewing code, including AI-generated code Data engineering projects Valuable additional skills include: AI Prompt Engineering for code generation Docker/Kubernetes Hadoop (HDFS, HBase, Kafka, Spark, etc.) This role will be based out of our Glasgow Office. Purpose of the role Design, develop, and improve software using various engineering methodologies to provide capabilities for our More ❯
science ecosystem (e.g., pandas, scikit-learn, TensorFlow/PyTorch) , Statistical methods and machine learning (e.g., A/B testing, model validation) , Data pipelining tools like SQL, dbt, BigQuery, or Spark , A strong communicator with the ability to communicate technical concepts into layman's terms for a non-technical audience , You're not afraid to challenge the status quo if More ❯
written and verbal Preferred (but not required) to have: Experience in the retail/CPG vertical Hands on experience with Python Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.) Experience with AI, data science and machine learning technologies People want to buy from people who understand them. Our Solution Engineers build More ❯
written and verbal Preferred (but not required) to have: Experience in the retail/CPG vertical Hands on experience with Python Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.) Experience with AI, data science and machine learning technologies People want to buy from people who understand them. Our Solution Engineers build More ❯
written and verbal Preferred (but not required) to have: Experience in the retail/CPG vertical Hands on experience with Python Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.) Experience with AI, data science and machine learning technologies People want to buy from people who understand them. Our Solution Engineers build More ❯
written and verbal Preferred (but not required) to have: Experience in the retail/CPG vertical Hands on experience with Python Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.) Experience with AI, data science and machine learning technologies People want to buy from people who understand them. Our Solution Engineers build More ❯
written and verbal Preferred (but not required) to have: Experience in the retail/CPG vertical Hands on experience with Python Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.) Experience with AI, data science and machine learning technologies People want to buy from people who understand them. Our Solution Engineers build More ❯
variety of technical and executive audiences both written and verbal Preferred (but not required) to have: Hands on experience with Python Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.) Experience with data science and machine learning technology People want to buy from people who understand them. Our Sales Engineers build connections More ❯
hold or be willing to gain a UK Security Clearance Preferred (but not required) to have: Hands on experience with Python Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.) Experience with AI, data science and machine learning technologies People want to buy from people who understand them. Our Solution Engineers build More ❯