About This Opportunity

StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most

This listing is organized to help candidates compare the role, location, experience level and application source before visiting the employer or source website. Final eligibility, salary, selection process and deadlines should be confirmed from arbeitnow.co.uk.

Skills And Responsibilities

StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey
The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.</p></div><div class="section page-centered"> <div class="section page-centered"> <div class="section page-centered"> <div>We're looking to add a&nbsp;<strong>Machine Learning Engineer</strong> to our Data Science team! This team works on solving complex problems for StackAdapt's digital advertising platform
You'll be working directly with our Data Scientists, Machine Learning Engineers, Engineering teams, and our CTO/Co-Founder on building pipelines and ad optimization models
With databases that process millions of requests per second, there's no shortage of data and problems to tackle.</div> <div>&nbsp;</div> <div><strong>StackAdapt is a remote-first company with teams around the world.</strong> Our teams work in a fully distributed environment, and we are open to candidates based in the UK, Ireland or Germany.</div> <div>&nbsp;</div> <div><strong data-stringify-type="bold">This role will remain open until February 27, 2026</strong>
Applications will be reviewed on a rolling basis, and the posting will close once the deadline is reached.</div> <div>&nbsp;</div> <div>Want to learn more about our Data Science Team: <a class="postings-link" href="https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/">https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/</a></div> <div>Learn more about our team culture here: <a class="postings-link" href="https://www.stackadapt.com/careers/data-science">https://www.stackadapt.com/careers/data-science</a></div> <div>Watch our talk at Amazon Tech Talks: <a class="postings-link" href="https://www.youtube.com/watch?v=lRqu-a4gPuU">https://www.youtube.com/watch?v=lRqu-a4gPuU</a></div> </div> <div class="section page-centered" data-qa="preview-list-item-0"> <h3 data-qa="preview-list-item-0-text">What you'll be doing:</h3> <ul> <li>Design modular and scalable real time data pipelines to handle huge datasets</li> <li>Understand and implement custom ML algorithms in a low latency environment</li> <li>Work on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently</li> </ul> </div> <div class="section page-centered" data-qa="preview-list-item-1"> <h3 data-qa="preview-list-item-1-text">What you'll bring to the table:</h3> <ul> <li>Have the ability to take an ambiguously defined task, and break it down into actionable steps</li> <li>Have deep understanding of algorithm and software design, concurrency, and data structures</li> <li>Experience in implementing probabilistic or machine learning algorithms</li> <li>Interest in designing scalable distributed systems</li> <li>A high GPA from a well-respected Computer Science program</li> <li>Enjoy working in a friendly, collaborative environment with others</li> </ul> </div> </div> </div><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The compensation range listed for this role reflects the expected base salary for candidates located in the posting country based on a global rate
It is informed by market data and the approved budget for this position
StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location
<em>We do not ask c</em>andidates about current or prior salary history, and we will not use such information, if volunteered, in setting an offer.</p> <p>This range represents base salary only
Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package.</p> <p><strong>Factors Influencing Final Compensation:</strong></p> <ul> <li>The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications.</li> <li>Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer.</li> </ul></div><div class="title">Base Salary Band</div><div class="pay-range"><span>£82,125</span><span class="divider">&mdash;</span><span>£112,922 GBP</span></div></div></div><div class="content-conclusion"><div class="section page-centered"> <h3>StackAdapter's Enjoy:</h3> <ul> <li data-stringify-indent="0" data-stringify-border="0">Highly competitive salary</li> <li data-stringify-indent="0" data-stringify-border="0">Retirement/ 401K/ Pension Savings globally</li> <li data-stringify-indent="0" data-stringify-border="0">Competitive Paid time off packages including birthday's off!</li> <li data-stringify-indent="0" data-stringify-border="0">Access to a comprehensive mental health care program</li> <li data-stringify-indent="0" data-stringify-border="0">Health benefits from day one of employment</li> <li data-stringify-indent="0" data-stringify-border="0">Work from home reimbursements</li> <li data-stringify-indent="0" data-stringify-border="0">Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto</li> <li data-stringify-indent="0" data-stringify-border="0">Robust training and onboarding program</li> <li data-stringify-indent="0" data-stringify-border="0">Coverage and support of personal development initiatives (conferences, courses, books etc)</li> <li data-stringify-indent="0" data-stringify-border="0">Access to StackAdapt programmatic courses and certifications to support continuous learning</li> <li data-stringify-indent="0" data-stringify-border="0">An awesome parental leave program</li> <li data-stringify-indent="0" data-stringify-border="0">A friendly, welcoming, and supportive culture</li> <li data-stringify-indent="0" data-stringify-border="0">Our social and team events!</li> </ul> <p><em>Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement
In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.</em></p> </div> <div class="section page-centered" data-qa="closing-description"> <div><em>StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe

How To Apply

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Eligibility Notes

Candidates should compare their qualification, experience, skills, location preference and availability with the official job description. If a requirement is not clearly mentioned here, treat it as employer-specific and verify it on the source page.

Candidate Guidance

Machine Learning Engineer (Remote) at Stackadapt should be evaluated by matching the role title, category, location and experience requirement with your resume before applying.

Candidate fit: this AI/ML Jobs is best for applicants who can show relevant skills, projects or work experience connected to the role.
Experience check: compare your profile with 8+ yrs; if you are a fresher, highlight projects and internships, and if experienced, show measurable work outcomes.
Location/work mode: verify whether Remote is onsite, hybrid, remote, rotational shift or relocation-based on the official source page.
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ManaCoding Jobs is a job-discovery platform. We organize role information and source links, but candidates should verify final details on the official employer or source page before applying. Salary is shown only when available from the listing/source; otherwise it is marked as not disclosed.