Context & Impact This is a newly created role at Lansweeper — built for a moment, not a backfill. For 21 years, Lansweeper has been a fast-moving company that has reinvented itself multiple times. Now were
About 9fin 9fin is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion. Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and
Team Leader - Funds Data, - Enterprise Data Product Location London Business Area Product Ref # 10052362 Description & Requirements We are Bloomberg Enterprise Data — fast-paced, innovative, and expanding! We partner closely with our clients,
City London Job Type Full Time Country / State United Kingdom Function Category Quantitative Analysis, Sales and trading Join us At UBS, we know that its our people, with their diverse skills, experiences and backgrounds, who
About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to
At a glance Location: Cambridge In-office expectation: Once every two weeks Employment type: Permanent Salary: £55,000-£75,000 This role will be a mid or senior level engineer dependant on experience Why this role exists Redgates Foundry is
Team Leader - Funds Data, DL+ - Enterprise Data Product Location London Business Area Product Ref # 10052362 Description & Requirements We are Bloomberg Enterprise Data — fast-paced, innovative, and expanding! We partner closely with our
Job Description: Out of the successful launch of Chase in 2021, we’re a new team, with a new mission. We’re creating products that solve real world problems and put customers at the center - all in
Company Description Were ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too.
About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to
The next wave of enterprise software won’t be dashboards or copilots. It will be Digital Workers, autonomous AI systems capable of executing complex workflows end-to-end. At causaLens, we are building the platform that enables enterprises to
Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for
As a Lead Software Engineer at JPMorganChase, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a
Working at CreateFuture CreateFuture is an AI-native consulting partner where people do work that matters and are supported to do it well. We work alongside organisations such as PayPal, adidas, NatWest, FanDuel and Money Saving Expert,
About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in technological transformation, we accelerate innovation with
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing
Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. 5 years of experience with software development using Python or similar coding languages. Experience building pipelines for structured and unstructured data
Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. 8 years of experience with software development using Python or similar coding languages. Experience building pipelines for structured and unstructured data
Team Leader - Funds Reference Data, - Enterprise Data Product Location London Business Area Product Ref # 10052362 Description & Requirements We are Bloomberg Enterprise Data — fast-paced, innovative, and expanding! We partner closely with our