Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

AI / Machine Learning Engineer (Remote)

vidIQ
London
5 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Machine Learning Engineer – Insurance

Senior AWS Data Engineer - London - £125,000

Senior Computer Vision Engineer

Lead Data Scientist - Remote

Lead Data Scientist - Remote

About vidIQ

vidIQ builds software to help YouTube creators achieve their goals. Our mission is to advance the creator's journey with actionable data-driven insights and AI-powered tools. We are dedicated to our values of being creator-obsessed, lean and fast, and scientific. Having already supported millions of creators, we invite stunning new co-workers to join us in reaching millions more.

Imagine a product that reached over a million users without a traditional sales team. This product stands at the forefront of career evolution, where everyone can be their own brand with unlimited growth potential. That's the opportunity at vidIQ—an infinite market, a large and highly engaged customer base, and the chance to help scale the platform that delivers insights to millions of creators.

Discover more about vidIQ firsthand atwww.vidiq.com.

About the Team

We're a team of 100+ people and growing quickly. Our vision is to be the smart copilot for every creator. We strive to create a welcoming environment where our team of smart, passionate people can share ideas with each other and do their best work. We are looking for team members who are excellent at their craft, communicate with kindness, and act like owners.

An overview of our technology stack

  • Frontend: Typescript, React.js, Next.js

  • Backend: Scala/Python/Node.js

  • Infrastructure & CI/CD: Kubernetes, Docker, GitHub, ArgoCD

  • Cloud: AWS, GCP, Azure

  • Databases: PostgreSQL, MongoDB, DynamoDB, OpenSearch

  • Data processing: Python, Spark, Kafka, Airflow, Pandas, Numpy

  • ML libraries: PyTorch, Hugging Face, sci-kit-learn, Tensorflow, Keras

  • ML algorithms: multi-modal LLMs, Diffusion Models, Recommender Systems, ANN


About the Role

We are looking for a highly-motivatedAI / Machine Learning Engineer, with a background in backend development. In this role, you'll work closely with a cross-functional team to drive product innovation and deliver high-impact results. The ideal candidate will have robust engineering experience, a proactive mindset, and a proven track record in product development. You will be expected to collaborate with key stakeholders, articulate technical concepts to non-technical audiences, and lead by example in a fast-paced, results-oriented environment.

What you will be doing 

  • Work closely with Product Managers to frame problems within business context and deliver the highest impact to our users

  • Design, implement and ship new features with a high level of responsibility and ownership

  • Implement scalable solutions to consistently serve a vast global user base

  • Help establish architecture based on technology and our needs

  • Build, train and test Machine learning solutions focusing on natural language processing, recommender systems, computer vision

  • Write well-crafted, well-tested, maintainable code to convert our ML models into working pipelines

  • Collaborate closely with Frontend, DevOps, and Data Engineering teams to deliver cohesive end-to-end solutions, align on technical decisions, and ensure smooth integration between system components

  • Participate in code-reviews to ensure code quality and distribute knowledge

  • Monitor and troubleshoot existing features and resolve any issues that arise



Requirements

  • 5+ yearsof professionalsoftware engineering experience(preferably in Python)

  • 2+ yearsof experiencedeveloping and delivering ML solutionsinto production

  • Hands-on experiencebuilding and optimizing end-to-end data and machine learning pipelines, with a focus onLLM-based solutions

  • Engineering mindset, with a high degree of comfort in designing software and producing production-grade code

  • Proactive, results-oriented self-starterwith a proven ability to drive growth and innovation in dynamic environments.

  • Ability to work with modern data integration and analytics tools

  • Experience with AI-dev tools (e.g. GitHub Co-Pilot, Cursor)

  • Ability to turn ML paper into working code

Nice to have 

  • B.S., M.S. or PhD in Computer Science or related technical field

  • Developer-level experience with Kubernetes and Docker

  • Experience with data processing technologies (e.g. Spark, Kafka, Airflow)

  • Experience working with RDBMS and NoSQL data scores (PostgreSQL, DynamoDB and alike)

  • Experience in product management

Perks and Benefits

  • Work Remotely:Embrace the freedom to choose your ideal workspace anywhere in the world.

  • Flexible Time Off:We support a flexible vacation policy allowing you to take time off when you need to recharge.

  • Communication Stipend:Enjoy a monthly stipend to cover your phone and internet expenses, helping you stay connected effortlessly.

  • Global Impact:Join our diverse team that’s shaping the future of the creator economy across the globe.

  • Competitive Compensation:vidIQ believes in offering competitive compensation that reflects your skills, experience, and contributions. We ensure fairness through internal equity and geo-location based pay, with the upper range reserved for individuals demonstrating exceptional job knowledge and skills.

Our Commitment

At vidIQ, we dedicate ourselves to enabling creators of all kinds to succeed. We prioritize attracting diverse talent and fostering an environment that encourages collaboration, creativity, and personal growth. We are committed to building a company and a community where individuals thrive by being true to themselves and are inspired to do their best work every day.

If you share our enthusiasm for empowering creators, we would love to hear from you. Click the“Apply”button below to start your journey with us.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.