Qureos Mentor

Encord

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 About Us
 
 
 
 Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more.
 
 
 We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
 
 
 
 The role
 
 
 
 We are looking for an experienced Machine Learning Engineer to join our team and help us build and scale cutting-edge machine learning and computer vision solutions that power real AI workflows. You'll work hands-on across the full ML lifecycle &mdash; from experimenting with the latest models and techniques to integrating them into a production platform used by hundreds of AI teams worldwide.
 
 
 This is a highly collaborative role where you'll partner closely with our product engineering and human data teams to turn complex algorithmic ideas into reliable, scalable features that customers love. Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.
 
 
 If you're someone who thrives at the intersection of strong ML fundamentals and practical engineering, and wants to see their work make a direct impact at scale &mdash; this is the role for you.
 
 
 
 What You'll Do
 
 
 
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 Experiment with and adapt the latest ML technologies to fit into our existing tech stack
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 Solve idiosyncratic statistical, geometric, and engineering problems
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 Work closely with a full-stack tech team to assist implementation of research solutions into the product
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 Contribute to hiring additional talent to our rapidly growing team
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 Work with a broad tech stack (e.g. ReactJS, Python, REST &amp; GraphQL, OpenCV, PyTorch, GCP, AWS &amp; CUDA, Kubernetes) and the cutting edge of computer vision and deep learning
 
 
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 Who We're Looking For
 
 
 
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 Hands-on and experimental &mdash; you're comfortable executing on projects end-to-end, running tests, and iterating based on what the data tells you
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 Collaborative by nature &mdash; you work closely with engineering and product teams to turn complex algorithmic ideas into reliable, scalable features
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 Driven to solve hard problems &mdash; you thrive at the intersection of strong ML fundamentals and practical engineering
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 Bonus: you've led or contributed to applied research teams and have relevant publications to show for it
 
 
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 Experience Requirements
 
 
 
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 3+ years of experience in machine learning engineering, with concrete examples of models or systems you've built and shipped
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 Strong experience in Python and ML libraries such as OpenCV, PyTorch, TensorFlow, Fast.ai, and Keras
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 Strong foundation in mathematical programming, algorithmic problem solving, and applied machine learning
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 Bonus: experience in the AI/ML ecosystem and familiarity with computer vision
 
 
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 Why Encord
 
 
 
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 Competitive salary, commission, and meaningful equity in a high-growth startup
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 Strong in-person culture &mdash; most of the team works from our London office 4+ days/week
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 25 days annual leave + UK public holidays
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 Annual learning &amp; development budget
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 Travel for customer visits, events, and conferences across the UK and Europe
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 Company lunches twice a week
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 Monthly socials &amp; bi-annual team offsites
 
 
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</div>

Machine Learning Engineer

<div>
 
 About Us
 
 
 
 Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more.
 
 
 We're an ambitious team of 100+ working at the frontier of AI and have raised $110M in funding, including a Series C backed by Wellington Management, CRV, Next47, and Y Combinator.
 
 
 
 The role
 
 
 
 We're looking for a Senior Growth Manager to architect how technical buyers find, evaluate, and choose our platform &mdash; from first signal to closed deal. You'll own our demand generation strategy, building pipeline from target accounts within a defined vertical, deepening engagement with existing customers, and operating as a true partner to Sales. You'll lead a squad of three, setting direction, developing your team, and ensuring output connects directly to revenue.
 
 
 
 What You&rsquo;ll Do
 
 
 
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 Lead and develop your team &mdash; setting clear priorities, unblocking people, and maintaining a high bar for output across all growth programs
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 Own pipeline strategy for target enterprise accounts &mdash; coordinating content, campaigns, outreach, and in-person touchpoints to drive qualified opportunities in partnership with Sales and SDRs
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 Deploy AI agents to monitor account-level signals, identifying when target accounts are moving from cold to warm and surfacing the right moment for Sales to engage
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 Use AI-driven intent tools at the contact level to flag high-intent prospects, inform personalisation, and help Sales prioritise outreach across an account
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 Build and own our conference and field event strategy &mdash; identifying the right moments in the ML Ops, Data Ops, and AI infrastructure calendar, activating target accounts before and after events, and converting in-person presence into pipeline
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 Develop co-marketing programs with technology partners across the ML Ops and AI infrastructure ecosystem, turning integrations and shared customers into joint campaigns and warm introductions into target accounts
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 Work closely with AEs and Sales leadership to ensure Sales receives well-qualified, well-timed opportunities
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 Manage lead routing, enrichment, and nurture tracks to reduce friction across enterprise buyer journeys
 
 
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 Who we're looking for
 
 
 
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 You're structured and precise in how you think about markets &mdash; you know how to map a landscape, identify where to focus, and build programs that convert that focus into pipeline
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 You're energised by in-person relationship building &mdash; conferences, roundtables, and industry events are where you do some of your best work
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 You're quick to pick up new tools and workflows &mdash; you're already using AI to work faster and smarter, and you're curious about where it goes next
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 You can engage credibly on technical topics &mdash; ML infrastructure, compute orchestration, model evaluation, and developer tooling are areas you're motivated to go deep on
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 You've managed or led small teams and know how to get the best out of people while keeping programs moving
 
 
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 Experience requirements
 
 
 
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 3+ years in B2B growth, strategy, finance, or a commercially rigorous field &mdash; with a track record of owning outcomes, not just workstreams
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 Direct experience in or exposure to the ML Ops, Data Ops, or AI infrastructure space, or adjacent areas such as model evaluation, robotics, physical AI, or autonomy
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 Experience building and executing demand generation, field event, or co-marketing programs in a B2B environment
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 Familiarity with AI-driven intent and signal tools (e.g. 6sense, Bombora, Clay) and how they integrate into a GTM motion
 
 
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 </ul>
 
 Why Encord
 
 
 
 <ul>
 <li>
 Competitive salary, commission, and equity in a high-growth start-up
 </li>
 <li>
 Strong in-person culture - most of the team works from our London office 4+ days/week
 </li>
 <li>
 25 days annual leave + UK public holidays
 </li>
 <li>
 Annual learning &amp; development budget
 </li>
 <li>
 Travel for customer visits, events, and conferences across the UK and Europe
 </li>
 <li>
 Company lunches twice a week
 </li>
 <li>
 Monthly socials &amp; bi-annual team offsites
 
 
 </li>
 </ul>
</div>

Senior Growth Manager

Join Encord 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.

Encord

About Company

Machine Learning Engineer

Senior Growth Manager