Latest UK roles, updated daily.
As a Senior AI Engineer at PoliceAI, you will lead the design, development, and deployment of AI-enabled products, translating policing needs into technical solutions. You will work with multidisciplinary teams to build secure, maintainable, and scalable services, and support the testing, evaluation, and validation of AI products.
This role involves developing and supporting enterprise data pipelines and OpenShift-based solutions, collaborating with cross-functional teams to deliver cloud-native applications, and enhancing platform performance. The developer will work on scalable, secure, and efficient data processing and operational transformation initiatives using Scala, Apache Spark, and OpenShift.
This role involves leading the technical architecture for an Azure platform, designing and building large-scale data pipelines, and integrating end-to-end data solutions. The focus is on cloud migration, data ingestion, and ensuring data quality and consistency.
This role involves leading the migration of IBM DB2 databases to AWS Aurora PostgreSQL, designing and implementing data models, and communicating complex data concepts to stakeholders. You will work 2-3 days per week onsite in Farnborough, collaborating with business and technology teams to deliver data architecture solutions.
You will design, develop, and support data integration, warehousing, and reporting solutions for a secure government programme. The role involves working with Oracle databases, ETL processes, and data quality, within a complex enterprise environment.
This role involves designing, building, and maintaining scalable data pipelines, developing data models and reports, and improving data quality and performance. You will work closely with product and engineering teams, support data governance, and help shape the company's data architecture.
As a Specialist Solutions Architect, you will guide enterprise customers through the architecture, administration, and security of their Databricks deployments on AWS, Azure, or GCP. You will architect secure, scalable deployments, lead technical discussions, and influence product direction based on customer feedback.
This role involves guiding enterprise customers through the full lifecycle of Databricks deployments on AWS, Azure, or GCP, with a focus on secure, scalable architecture and cloud infrastructure. The engineer acts as a technical specialist in identity management, networking, and infrastructure-as-code, supporting pre-sales and competitive positioning through custom solutions. They collaborate with cross-functional teams and influence product direction based on customer feedback.
This role involves building and maintaining data pipelines for an AI-enabled competitive intelligence platform in the pharmaceutical market. Responsibilities include data ingestion, database design, performance optimization, and collaboration with the wider team to ensure robust and well-documented pipelines.
This role involves collaborating with sales teams and customers to demonstrate Snowflake's data platform, translating technical capabilities into business solutions. The Senior Solution Engineer leads technical discussions, designs data architectures, and supports proof-of-concept initiatives. They stay ahead of evolving data and AI technologies to position Snowflake effectively against competitors and help shape product direction through feedback to engineering and product teams.
This role involves designing and developing secure, scalable backend services and APIs for fraud detection and data integrity. You will work with Scala, Play Framework, SQL, AWS, and CI/CD practices, collaborating with product owners and contributing to incident resolution.
AI Engineer:Bolton£50,000-£55,000An exciting opportunity has arisen for an AI Engineer to join an established organisation that is actively embedding AI-driven solutions into real-world business operations. This is a hands-on technical role, ideal for someone passionate about applied AI, workflow automation,...
This role involves designing, building, and maintaining scalable data pipelines using Databricks, Python, and SQL. You will support cloud migration initiatives, integrate data from enterprise systems, and ensure high data quality and security in a highly regulated banking environment.
You'll join a small engineering team to design and build data pipelines, backend services, and frontend features for a platform that turns live global events into risk intelligence. Your work will involve integrating APIs, using LLMs for data enrichment, and creating clear data visualisations.
This role involves designing and implementing backend security guardrails for AI workflows, building and deploying enterprise-level generative AI and ML solutions, and integrating user interfaces. The position also requires working with cloud infrastructure and data pipelines using AWS and Azure.
