Senior/Staff Applied Machine Learning Scientist — Opportunihub
Opportunihub Logo
Browse by industry — an index View all →
01 Information Technology 4 02 Banking & Insurance 3 03 Hospitality & Travel 2 04 Logistics & Transport 2 05 Marketing & Communications 2 06 Agriculture 2 07 Customer Service 1 08 Telecommunications 1
By experience — stage
I Graduate Just starting out II Entry-level 0–2 years III Mid-level 2–5 years IV Senior 5–10 years V Executive 10+ years
Get hired faster
Create a profile
in two minutes.

Upload your CV once. Apply with one click. Track every conversation in one calm dashboard.

Sign up free
Home Jobs Companies Donors Career tools For employers About
Log in Get started
Job

Senior/Staff Applied Machine Learning Scientist

Stackadapt · Africa

Apply on official site

At a glance

Type
Job
Organisation
Stackadapt
Location
Africa
Work mode
On-site
Deadline
Rolling / not stated
Posted
3 Aug 2026

About this job

&lt;div class=&quot;content-intro&quot;&gt;&lt;p&gt;StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered 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.&lt;/p&gt;&lt;/div&gt;&lt;div class=&quot;section page-centered&quot;&gt; &lt;div class=&quot;section page-centered&quot;&gt; &lt;div class=&quot;section page-centered&quot;&gt; &lt;div class=&quot;section page-centered&quot;&gt; &lt;div class=&quot;section page-centered&quot;&gt; &lt;div&gt;We are searching for a talented &lt;strong&gt;Senior/Staff Applied Machine Learning Scientist&amp;nbsp;&lt;/strong&gt;to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we&#39;re dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability.&lt;/div&gt; &lt;div&gt;&amp;nbsp;&lt;/div&gt; &lt;div&gt;Want to learn more about our Data Science Team: &lt;a class=&quot;postings-link&quot; href=&quot;https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/&quot;&gt;https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/&lt;/a&gt;&lt;/div&gt; &lt;div&gt;Learn more about our team culture here: &lt;a class=&quot;postings-link&quot; href=&quot;https://www.stackadapt.com/careers/data-science&quot;&gt;https://www.stackadapt.com/careers/data-science&lt;/a&gt;&amp;nbsp;&lt;/div&gt; &lt;div&gt;Watch our talk at Amazon Tech Talks: &lt;a class=&quot;postings-link&quot; href=&quot;https://www.youtube.com/watch?v=lRqu-a4gPuU&quot;&gt;https://www.youtube.com/watch?v=lRqu-a4gPuU&lt;/a&gt;&lt;/div&gt; &lt;div&gt;&amp;nbsp;&lt;/div&gt; &lt;div&gt;StackAdapt is a Remote First company, and we are open to candidates located anywhere in the UK for this position.&lt;/div&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt; &lt;/div&gt; &lt;div class=&quot;section page-centered&quot; data-qa=&quot;preview-list-item-0&quot;&gt; &lt;h3 data-qa=&quot;preview-list-item-0-text&quot;&gt;What you&#39;ll be doing:&lt;/h3&gt; &lt;ul&gt; &lt;li&gt;Lead the creation and optimization of advanced machine learning algorithms—from developing new methods to refining existing techniques—to enhance advertising effectiveness and ROI using deep ML expertise.&lt;/li&gt; &lt;li&gt;Own the end-to-end development of production-grade ML models: write efficient, scalable code and collaborate with Data Engineers to deploy and integrate algorithms into live systems.&lt;/li&gt; &lt;li&gt;Drive the prototyping and rigorous testing of innovative algorithms and data pipelines using historical data to validate performance and scalability; lead iterative improvements based on data-driven insights.&lt;/li&gt; &lt;/ul&gt; &lt;/div&gt; &lt;div class=&quot;section page-centered&quot; data-qa=&quot;preview-list-item-1&quot;&gt; &lt;h3 data-qa=&quot;preview-list-item-1-text&quot;&gt;What you&#39;ll bring to the table:&lt;/h3&gt; &lt;ul&gt; &lt;li&gt;3+ years of industry experience&lt;/li&gt; &lt;li&gt;Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.&lt;/li&gt; &lt;li&gt;Have the ability to take an ambiguously defined task, and break it down into actionable steps&lt;/li&gt; &lt;li&gt;Have a comprehensive understanding of statistics, optimization and machine learning&lt;/li&gt; &lt;li&gt;Are proficient in coding, data structures, and algorithms&lt;/li&gt; &lt;li&gt;Enjoy working in a friendly, collaborative environment with others&lt;/li&gt; &lt;/ul&gt; &lt;/div&gt; &lt;/div&gt; &lt;/div&gt; &lt;/div&gt; &lt;/div&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;div class=&quot;section page-centered&quot;&gt; &lt;h3&gt;StackAdapter&#39;s Enjoy:&lt;/h3&gt; &lt;ul&gt; &lt;li data-stringify-indent=&quot;0&quot; data-stringify-border=&quot;0&quot;&gt;Highly competitive salary&lt;/li&gt; &lt;li data-stringify-indent=&quot;0&quot; data-stringify-border=&quot;0&quot;&gt;Retirement/ 401K/ Pension Savings globally&lt;/li&gt; &lt;li data-stringify-indent=&quot;0&quot; data-stringify-border=&quot;0&quot;&gt;Competitive Paid time off packages including birthday&#39;s off!&lt;/li&gt; &lt;li data-stringify-indent=&quot;0&quot; data-stringify-border=&quot;0&quot;&gt;Access to a comprehensive mental health care program&lt;/li&gt; &lt;li data-stringify-indent=&quot;0&quot; data-stringify-border=&quot;0&quot;&gt;Health benefits from day one of employment&lt;/li&gt; &lt;li data-stringify-indent=&quot;0&quot; data-stringify-border=&quot;0&quot;&gt;Work from home reimbursements&lt;/li&gt; &lt;li data-stringify-indent=&quot;0&quot; data-stringify-border=&quot;0&quot;&gt;Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto&lt;/li&gt; &lt;li data-stringify-indent=&quot;0&quot; data-stringify-border=&quot;0&quot;&gt;Robust training and onboarding program&lt;/li&gt; &lt;li data-stringify-indent=&quot;0&quot; data-stringify-border=&quot;0&quot;&gt;Coverage and support of personal development initiatives (conferences, courses, books etc)&lt;/li&gt; &lt;li data-stringify-indent=&quot;0&quot; data-stringify-border=&quot;0&quot;&gt;Access to StackAdapt programmatic courses and certifications to support continuous learning&lt;/li&gt; &lt;li data-stringify-indent=&quot;0&quot; data-stringify-border=&quot;0&quot;&gt;An awesome parental leave program&lt;/li&gt; &lt;li data-stringify-indent=&quot;0&quot; data-stringify-border=&quot;0&quot;&gt;A friendly, welcoming, and supportive culture&lt;/li&gt; &lt;li data-stringify-indent=&quot;0&quot; data-stringify-border=&quot;0&quot;&gt;Our social and team events!&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&lt;em&gt;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.&lt;/em&gt;&lt;/p&gt; &lt;/div&gt; &lt;div class=&quot;section page-centered&quot; data-qa=&quot;closing-description&quot;&gt; &lt;div&gt;&lt;em&gt;StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.&lt;/em&gt;&lt;/div&gt; &lt;div&gt;&amp;nbsp;&lt;/div&gt; &lt;div&gt;&lt;em data-stringify-type=&quot;italic&quot;&gt;We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.&lt;/em&gt;&lt;/div&gt; &lt;div&gt;&amp;nbsp;&lt;/div&gt; &lt;div&gt;&lt;strong&gt;About StackAdapt&lt;/strong&gt;&lt;/div&gt; &lt;div&gt;&amp;nbsp;&lt;/div&gt; &lt;div&gt;We&#39;ve been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We&#39;ve been awarded:&lt;/div&gt; &lt;div&gt;&amp;nbsp;&lt;/div&gt; &lt;div&gt;&lt;a href=&quot;https://www.stackadapt.com/resources/blog/g2-2026-best-software-awards&quot; target=&quot;_blank&quot;&gt;G2 Top Software for 2026&lt;/a&gt;&lt;br&gt;&lt;a href=&quot;https://www.greatplacetowork.ca/en/bestworkplaces/best-workplaces-for-young-talent/2026&quot; target=&quot;_blank&quot;&gt;2026 Best Workplaces™ for Young Talent&lt;/a&gt; and &lt;a href=&quot;https://www.stackadapt.com/resources/blog/great-place-to-work-best-workplaces-canada-2026&quot; target=&quot;_blank&quot;&gt;in Canada&lt;/a&gt; by Great Place to Work®&lt;br&gt;&lt;a href=&quot;https://www.stackadapt.com/resources/blog/best-cross-channel-advertising-platform&quot; target=&quot;_blank&quot;&gt;#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising&lt;/a&gt;&lt;/div&gt; &lt;div&gt;&amp;nbsp;&lt;/div&gt; &lt;div&gt;To learn more about our privacy practices, please see our &lt;a href=&quot;https://www.stackadapt.com/legal-document-centre/website-and-platform-user-privacy-policy&quot;&gt;Privacy Policy&lt;/a&gt;.&lt;/div&gt; &lt;div&gt;&amp;nbsp;&lt;/div&gt; &lt;div&gt;&lt;span style=&quot;color: rgb(243, 243, 244);&quot;&gt;#LI-REMOTE&lt;/span&gt;&lt;/div&gt; &lt;/div&gt;&lt;/div&gt;<p>Find <a href="https://www.arbeitnow.co.uk">Jobs in United Kingdom</a> on Arbeitnow</a>

How to apply

  1. 1 Read the full details above and confirm you meet the eligibility criteria.
  2. 2 Prepare your documents — an updated CV, and any cover letter, proposal or certificates required.
  3. 3 Click Apply on official site to complete your application on Stackadapt’s official page.
  4. 4 Submit as early as possible — many close once filled.
Apply on official site

Sourced from arbeitnow. Always verify details on the official website. Opportunihub never charges you to apply.

Frequently asked questions

How do I apply for Senior/Staff Applied Machine Learning Scientist?

Review the full details and eligibility on this page, prepare your documents, then use the “Apply on official site” button to complete your application on Stackadapt’s official page.

Is this opportunity remote or location-based?

This opportunity is based in Africa. Check the official listing for any relocation or on-site requirements.

Is Senior/Staff Applied Machine Learning Scientist free to apply for?

Opportunihub lists this Job for free. Legitimate Jobs do not ask for payment to apply — never pay a fee to submit an application.