Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Java Engineer (Remote, International)

PulsePoint
UK
11 months ago
Applications closed

Description Java Engineer Job Description About PulsePoint : PulsePoint is a fast-growing healthcare technology company (with adtech roots) using real-time data to transform healthcare. We help brands and agencies interpret the hard-to-read signals across the health journey and unify these digital determinants of health with real-world data to produce the most dimensional view of the customer. Our award-winning advertising platforms use machine learning and programmatic automation to seamlessly activate this data, making marketing, predictive analytics, and decision support easy and instantaneous. Some major projects the Exchange team is currently working on: continuing to scale our core exchange platform, honing the intelligence of our optimization, cutting feedback time for business intelligence, and aggressive automation. Currently, the PulsePoint Exchange: Handles hundreds of thousands of transactions per second, billions of times each month Evaluates, selects, and optimizes ad-serving based on advanced statistics and machine learning Returns responses collected from dozens of parties in milliseconds Constantly evolves to meet market demands that change in days and weeks, not months/years Factors thousands of data points in every serving decision We’re small enough you can own something and have a direct impact, but big enough that you don’t have to do it alone. We care deeply about quality and doing the right thing, but have a strong focus on business value and time to market – and believe that focusing on the first part enables the second. Developers have technical management (who are technical and write code), as well as direct access to business, product, and operations (and they have access to us). Lastly, our engineers have lots of empowerment and freedom of action (but we don’t water down our responsibilities or expectations). Some tools we use: GIT, Maven, TeamCity, JIRA, Confluence, Crucible, Intellij, Redis Some practices we’ve adopted: TDD/unit-testing, continuous integration, code-reviews, Scrum Things we’re working on: cloud-computing, event-driven IO, self-healing systems, analytic databases We like open source: Spring, Hadoop (we run the NYC Hadoop Meetup), Jetty, Linux, Memcache Developers get fast boxes, with multiple monitors, and can choose Windows or Linux We keep a library of technical books (several hundred) and haven’t had problems buying additions What you’ll need: Independence and strong ownership of business problems and their technical solutions Excellent problem-solving and critical thinking Strong Communication and inter-personal skills Mastery of algorithms, data structures and performance Experience in performance optimization (CPU, Memory, IO) and high-scale (>500 req/sec) Experience with open-source projects and tools (e.g. apache projects, maven, Spring, tomcat/glassfish) Experience with Agile, tight interaction with business and operations (DevOps) Experience with automated testing (TDD, Mocking, Unit/Functional/Integration) Expert Knowledge of Internet technologies/and protocols Expert knowledge of the Java language, platform, ecosystem, and underlying concepts and constructs Knowledge of common design patterns (IoC, GoF – not J2EE Pattern Library) B.S. in Computer Science, Mathematics, or Engineering (or professional experience) Basic knowledge of Python a plus, but not critical What we value as a team: Code built for Performance and Scale Solid engineering practices (e.g. design patterns, automated testing, fault-tolerant systems, KISS) Leveraging Open Source Agile development and tight interaction with business/operations Automated testing Developers who can navigate around a Linux box Passion, technical expertise, and personal accomplishment Rolling up your sleeves and getting things done Watch this video here to learn more about our culture and get a sense of what it’s like to work at PulsePoint WebMD is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.