Qureos Mentor

<p></p><div><div><div>Job ID: R0048311</div>
</div><p></p><div><div><div><div><div>Location</div>
<div>London, Middlesex</div>
</div></div></div><div></div><div><div><div><div>Hours/week</div>
<div>37.5 hrs/week</div>
</div></div></div><div></div><div><div><div><div>Payrate range</div>
<div>Unknown</div>
</div></div></div></div><p></p><div><div><p>We believe in better. And we make it happen.</p>
<p></p><p>Better content. Better products. And better careers.</p>
<p></p><p>Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.</p>
<p></p><p>We turn big ideas into the products, content and services millions of people love.</p>
<p></p><p>And we do it all right here at Sky.</p>
<p></p><p><b>What you'll do</b>
<br>
We are seeking a highly skilled <b>Senior Machine Learning Engineer</b> to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform.</p>
<ul><li><b>Model Development:</b> Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis.</li>
<li><b>Data Pipeline Engineering:</b> Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets.</li>
<li><b>Production Deployment:</b> Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance.</li>
<li><b>Experimentation:</b> Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement.</li>
<li><b>Cross-Functional Collaboration:</b> Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs.</li>
<li><b>Research &amp; Innovation:</b> Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems.</li><br>
</ul><p><br>
<b>What you'll bring</b>
</p><ul><li><b>Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance.</b>
</li><li>Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). .</li>
<li><b>Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe).</b></li>
<li>Experience with high-volume data processing and real-time streaming architectures.</li>
<li>Strong understanding of recommendation system design and personalisation algorithms.</li>
<li>Familiarity with Generative AI and its applications in production settings.</li>
<li>Exceptional communication and analytical problem-solving skills.</li>
<li>Proven successful experience in mentoring less experienced engineers to improve their technical skills</li>
</ul><p></p><p><b>A Typical Day at the Office</b></p>
<p></p><p>When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) caf&eacute;s or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you&rsquo;ll join your team and pick the first task to get cracking on.</p>
<p>At lunchtime, you&rsquo;ve got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup &ndash; whatever suits you. Once you&rsquo;re back, you&rsquo;ll carry on working with your team on your current feature.</p>
<p>Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective.</p>
<p></p><p><b>Global OTT Technology</b></p>
<p>Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world&rsquo;s best entertainment, news and sport.</p>
<p></p><p><b>The rewards
</b></p><p></p><p>There's one thing people can't stop talking about when it comes to <b>#LifeAtSky</b>: the perks. Here&rsquo;s a taster:</p>
<ul><li>Sky Q, for the TV you love all in one place</li>
<li>The magic of Sky Glass at an exclusive rate</li>
<li>A generous pension package</li>
<li>Private healthcare</li>
<li>Discounted mobile and broadband</li>
<li>A wide range of Sky VIP rewards and experiences</li>
</ul><p></p><p><b>Inclusion &amp; how you'll work</b></p>
<p></p><p>We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.</p>
<p>We&rsquo;ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You&rsquo;ll find out more about what hybrid working looks like for your role later on in the recruitment process.</p>
<p></p><p><b>Your office space
</b></p><p></p><p><b>Osterley</b></p>
<p></p><p>Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.</p>
<p>On campus, you&rsquo;ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.</p>
<p></p><p><b>We'd love to hear from you
</b></p><p></p><p>Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It&rsquo;s a place where you can explore what if, how far, and what next.</p>
<p>But better doesn&rsquo;t stop at what we do, it&rsquo;s how we do it, too. We embrace each other&rsquo;s differences. We support our community and contribute to a sustainable future for our business and the planet.</p>
<p>If you believe in better, we&rsquo;ll back you all the way.</p>
Just so you know: if your application is successful, we&rsquo;ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.</div></div></div><p></p>

Senior Machine Learning Engineer (Recommendation)

<div>
 We don't just believe in better. We make it happen. "
 <br/>
 <br/>
 Better content. Better products. And better careers.""
 <br/>
 <br/>
 Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky."
 <br/>
 <br/>
 <strong>
  Role overview
 </strong>
 " "
 <br/>
 <br/>
 We are looking for a highly skilled and motivated "
 <strong>
  Data Scientist
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 " to join our team."You will play a crucial part in" leveraging "machine learning and advanced analytics to drive actionable insights and innovation"to combine piracy.
 <br/>
 <br/>
 " As a Data Scientist, you will work closely with other data scientists, engineers, and business stakeholders to develop and optimise predictive models, harnessing complex datasets in a cloud-based environment. Your" expertise "in machine learning, statistical analysis, and AI will help shape data-driven decision-making across the organisation. This is an exciting opportunity to work at the forefront of data science, contributing to" cutting-edge "projects that have a real impact. "
 <br/>
 <br/>
 <strong>
  What"
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 <strong>
  you'll
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  "do
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  <br/>
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 <ul>
  <li>
   Develops advanced analytics methods such as predictive modelling, time series forecasting, text mining, clustering algorithms etc., using appropriate tools and technologies (Python/R/SAS)
  </li>
  <li>
   Analyses large amounts of information to discover trends and patterns in complex datasets.
  </li>
  <li>
   Designs experiments and build models that can help improve customer experience or optimise operational efficiency.
  </li>
  <li>
   Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions.
  </li>
  <li>
   Creates visualisations of results using Tableau or other software packages.
  </li>
  <li>
   Monitors performance of models over time by tracking key metrics.
  </li>
  <li>
   Present findings in a clear manner using reports or presentations.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What" you'll "bring
 </strong>
 <strong>
  "
 </strong>
 " "
 <br/>
 <br/>
 <strong>
  Essential Criteria
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Hands on experience in "building ML models, preferably NLP and computer vision. " "
  </li>
  <li>
   Experience"in Python, SQL, and common data science libraries (Pandas, Scikit-Learn, TensorFlow etc). " "
  </li>
  <li>
   Experience with big data pipelines and platforms like" BigQuery . " "
  </li>
  <li>
   Strong statistics, algorithms, and data modelling knowledge. " "
  </li>
  <li>
   Ability to derive actionable insights from analysis. " "
  </li>
  <li>
   Excellent communication skills, analytical mindset," ethics "and bias awareness. " "
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits and" perks
 </strong>
 " "
 <br/>
 <br/>
 There's "one thing people" can't "stop talking about when it comes to"life"at"Sky: the" perks ." Here's "a taster: "" "
 <br/>
 <br/>
 <ul>
  <li>
   Free Sky"TV"or NOW"package,"including Sky Sports and Sky Cinema """ "
  </li>
  <li>
   Pension package with up to 9% employer contribution " "
  </li>
  <li>
   Private healthcare with mental health support "" "
  </li>
  <li>
   Aviva Digital GP and dental insurance "" "
  </li>
  <li>
   Discounts on Sky products, including"Sky Mobile,"Sky Broadband, Sky Glass and Sky Protect "" "
  </li>
  <li>
   Sharesave and Tech schemes "" "
  </li>
  <li>
   A range of Sky VIP rewards and experiences " "
   <br/>
   <br/>
  </li>
 </ul>
 "
 <br/>
 <br/>
 <strong>
  How" you'll "work
 </strong>
 " "
 <br/>
 <br/>
 We've "adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are" 2 "days"in the office per week. " "
 <br/>
 <br/>
 " "
 <br/>
 <br/>
 <strong>
  Your office base
 </strong>
 <strong>
  "
 </strong>
 " "
 <br/>
 <br/>
 <strong>
  Osterley
  <br/>
  <br/>
 </strong>
 Our Sky Group HQ. Equipped with state-of-the-art technology and workspaces, there's plenty of space to see your big ideas come to life. Here you'll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon .
 <br/>
 <br/>
 Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations."Plus, there's free onsite parking available for cars, motorbikes and bicycles.
 <br/>
 <br/>
 <strong>
  Who we are
 </strong>
 " "
 <br/>
 <br/>
 We're "Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means" you'll "be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers," colleagues "and"society."
 <br/>
 <br/>
 "
 <br/>
 <br/>
 We're "an equal opportunity employer and value diversity at our company." We're "a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. " We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where " appropriate . Please flag any adjustments you need as early as you can. " "
 <br/>
 <br/>
 "
 <br/>
 <br/>
 Just so you know: if your application is successful," we'll "ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer." " "
 <br/>
 <br/>
 To be eligible for this role you" are required to "have the" appropriate right "to work in the UK. Please be aware Sky does not offer sponsorship for this position. "
 <br/>
 <br/>
 To find out more about working with us, search"
 <strong>
 </strong>
 "on social media. " "
 <br/>
 <br/>
</div>


Data Scientist (Mid-level)

Join Sky and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

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Senior Machine Learning Engineer (Recommendation)

Data Scientist (Mid-level)