Rapid7

AI Engineer II - ML Ops

Belfast, Northern Ireland Ireland
R API Python Terraform Docker AWS
Search for More Jobs Talk to a recruiter now 💪
Description

The global order relies on a free and open internet, and cybercriminals have turned it into their playground. As they chase AI to increase the speed and scale of their attacks, Rapid7 has been leveraging it to supercharge our cybersecurity detections and triage alerts quickly. For decades, we’ve been using AI technology to power risk and threat analysis to detect attacks earlier and reduce response time.  

Rapid7 is making significant investments in our Belfast office with the formation of our new AI Centre of Excellence, encompassing the full range of AI, ML and data science.  As a leader in cybersecurity, we’re on a new mission to use AI to accelerate threat investigation, detection and response (D&R) capabilities of our Security Operations Centre (SOC).  The AI race to stay ahead of attackers is on and needs more than speed.  Attack surfaces are getting broader every day and it’s important to optimise D&R with AI that can identify signals in a sea of noise.  Further, we’re embracing generative AI and researching novel ways LLMs can add value for our customers in D&R.  

We’re seeking the best AI, ML and data science talent to build systems for detecting patterns and anomalies humans can't, and which rule-based detections miss.  As an AI Engineer II, you will work on solutions that address important challenges, working closely with development teams, data engineering, product managers and UI/UX teams along the way.  There’s a ton of work to do and we would love you to join us!

Rapid7’s AI Centre of Excellence

The AI CoE partners with our D&R teams in enabling customers to assess risk, detect threats and automate their security programs.  Rapid7 also have a best-of-breed managed SOC offering, known as MDR, where teams of analysts are retained to carry out crucial D&R work on behalf of our customers.  The positive impact of AI in D&R will be felt right across our customer base.  The AI CoE’s goals are ambitious and we need dynamic people with a desire to be part of something big. You have a chance to join a company that’s pushing the boundaries of AI for cybersecurity - if you want a career move where you can grow and make an impact with AI, this is it.

We ensure AI, ML and data science are applied in a meaningful way to add customer value, best achieve business objectives and deliver ROI.  Unnecessary complexity is avoided and we adopt a creative, fast-fail, highly iterative approach to accelerate ideas from proof-of-concept to go or no-go.  Our current capabilities are built on 20+ years of threat analysis and open-source communities with, 40 AI patents granted and 20+ pending.  However, we’re just getting started!  

The make-up of the group is such that our technical skills complement one another.  No one can be an expert in everything - we share our AI, ML and data science knowledge between ourselves plus are creating an in-house AI Learning & Development plan.  

The AI CoE also contributes on occasion to new external AI policy initiatives with recognised bodies like NIST.  In fact, we’d be delighted if you’re open to publishing and presenting your best work with Rapid7 at top conferences around the world and in journals.  Our current AI team have a track record of publishing award-winning research at the likes of AISec at ACM CCS and with IEEE; we realise the benefits publishing can bring to an AI career and the confidence it inspires in our customers.

About the Role

An AI Engineer II in MLOps designs and implements systems to support and enable AI research, systems to  accelerate and augment AI model development, and systems that bring AI features to our product portfolio. You will build these systems in the cloud, using standard MLOps and DevOps tools, and will work closely with the other members of the COE to build custom infrastructure where appropriate. This is important work and speed to market is key - you’ll work fast and smart, supported by more senior members of the team, getting results that let us make decisions about how best to deliver our work to our customers.

You will:

  • Design and build infrastructure to support AI/ML/data science models with a focus on delivering customer value.
  • With guidance and direction, you are able to explore, research and tackle problems while building up your knowledge.  
  • Take responsibility for the quality of your own work and help impact the work of others too.
  • Be a first-class stakeholder in all parts of the AI MLOps R&D process.
  • Create productive cross-functional relations with teams like engineering, UX, customer research and product management.
  • Provide informal guidance to new team members.

What we’re looking for technically:

  • Good conceptual knowledge of a cloud-based infrastructure and continuous integration and delivery (CICD).  It’s a broad area; we do not expect you to be across it all.  
  • More specifically, building services and APIs using Python, using Terraform to manage cloud resources, and containerisation with Docker.
  • Some experience with cloud based AI/ML tools (e.g. AWS SageMaker) and MLOps tools (e.g. MLFlow)
  • As a bonus, a degree in software engineering.
  • Any cybersecurity expertise is also a bonus - or maybe your experience comes from capital markets, online marketplaces, healthcare, social media, insurance, or somewhere else.

And you as a person:

  • Bring a positive, can-do, solution-oriented mindset, welcoming the challenge of tackling new problems.
  • Are persistent and consistent.
  • Enjoy working in a fast-paced environment.
  • Understand the highly iterative nature of AI development and the need for rigour.
  • Appreciate the importance of thorough testing and evaluation to avoid production issues.
  • Are a great teammate to help peers become stronger problem solvers, communicators, and collaborators.
  • Have a curiosity and passion for continuous learning and self-development.
  • Stay open-minded, listening to new ideas and suggestions from colleagues, carefully considering and sometimes adopting them.
  • Realise the importance of wider ethical and risk considerations with AI.
  • Possess good interpersonal and communication abilities, explaining hard-to-understand topics to different audiences and writing up work clearly.
  • Exhibit a bias for action, without being careless.

We know that the best ideas and solutions come from multi-dimensional teams. That’s because these teams reflect a variety of backgrounds and professional experiences. If you are excited about this role and feel your experience can make an impact on our AI mission, please don’t be shy - apply today.

About Rapid7

At Rapid7, we are on a mission to create a secure digital world for our customers, our industry, and our communities. We do this by embracing tenacity, passion, and collaboration to challenge what’s possible and drive extraordinary impact.

Here, we’re building a dynamic workplace where everyone can have the career experience of a lifetime. We challenge ourselves to grow to our full potential. We learn from our missteps and celebrate our victories. We come to work every day to push boundaries in cybersecurity and keep our 10,000 global customers ahead of whatever’s next.

Join us and bring your unique experiences and perspectives to tackle some of the world’s biggest security challenges.

#LI-PB1 

Rapid7
Rapid7
Analytics Cyber Security Enterprise Software Network Security Risk Management

0 applies

1 views

Other Jobs from Rapid7

Software Engineer II

Dublin, Ireland

AI Engineer II - Model R&D

Belfast, Northern Ireland Ireland

Sr. Front End Engineer

Prague, Czech Republic

Front End Engineer II

Prague, Czech Republic

There are more than 50,000 engineering jobs:

Subscribe to membership and unlock all jobs

Engineering Jobs

60,000+ jobs from 4,500+ well-funded companies

Updated Daily

New jobs are added every day as companies post them

Refined Search

Use filters like skill, location, etc to narrow results

Become a member

🥳🥳🥳 401 happy customers and counting...

Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.

To try it out

For active job seekers

For those who are passive looking

Cancel anytime

Frequently Asked Questions

  • We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
  • Salaries for the engineering jobs on our site range from $100K-$200K. On average, senior engineer positions on our EchoJobs are about $160K.
  • The EchoJobs positions have been sourced and vetted from the top companies to work for in the US as a software engineer, including LinkedIn and other reputable job sites. We also have syndicated jobs from companies that have just raised funding, as well as those that have great unique products and culture. From all of these sources, our founder, Morgan, has also resourced the company's authenticity in terms of their website, public appearance, and more.
  • Yes, our users asked us for just this, so now our search filters allow you to search for your top jobs via location, as well as by onsite, remote, or both. Approximately 30% of our jobs are remote, so you’ve got the best options for you!
  • We have not yet implemented this option, but are considering doing so in the future. For the moment, you would need to cancel your subscription, and resubscribe when you wanted to come back.
  • We add new jobs to EchoJobs every day! We scan our sources for the newest jobs, verify them, and post them to EchoJobs within minutes. We add about 2,000-3,000 new jobs for you each day!
  • From starting your job search to getting hired, the entire job search process can take us software engineers anywhere between 3-6 months. However, at EchoJobs, we’re striving to shorten this duration by finding the best, newest jobs for you, so you can do less job searching, and more applying.
  • We’d recommend checking EchoJobs daily, as we add new jobs to the site each day. Additionally, if you got a chance to read our previous email on “what makes EchoJobs different from any other job search tools,” we also recommended that you set a job alert based on your job filters, so if you get emails on those new jobs, you could be checking more than once per day.
  • If you decide to continue with us after the 1-month trial, we definitely recommend this, as we all know it usually takes 3-6 months to find a quality job as a software engineer these days. So to best support you, we just adjusted our membership options at EchoJobs to monthly, 3 months, or 12 months (this option is more for passive job seekers looking a little bit for the future if they want to come back to work or make a job switch potentially. This lets you see what’s out there in case an even better fit job becomes available.)
  • EchoJobs is truly the only job site of its kind. We want to be THE spot for you to find the best job for you, and haven’t encountered any other company doing this. Other job sites are in niches besides software engineering or focus on a small portion of engineering jobs (like a specific coding language). In the words of Morgan, our founder, “I think what makes EchoJobs different is the amount of jobs, frequency that we add new jobs (we add 2,000-3,000 new jobs daily!), and the powerful search engines to find exactly the job you want more easily and efficiently. We can provide you with the most jobs that are vetted by us, we’ll continually find more new jobs for you, and we make it easier for you to apply and get hired.

What Fellow Engineers Say