AI / Machine Learning Engineer (Remote)

vidIQ
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior AI | Machine Learning Engineer

Senior AI | Machine Learning Engineer

AI Expert / Machine Learning Engineer

Junior Machine Learning Engineer

AI Visual Specialist /  Machine Learning Engineer

Computer Vision Engineer

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.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.