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Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI successStep 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare fo...

Stay current with academic and industry advances in machine learning, NLP, and deep learning, and guide the team in applying them to real‑world challenges. Proficiency in machine learning, NLP, and deep learning algorithms, with experience using frameworks such as TensorFlow or PyTorch. We are see

Python | NLP | LLM | Machine Learning | Elasticsearch | OpenSearch | PyTorch | Tensorflow | AWS | RAG |. This is for a organisation is building a platform designed to help users navigate and analyse large volumes of complex technical and legal text using a combination of machine learning, search tec

We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. You’ve built and shipped CV‑focused deep learning systems and can demonstrate strong applied ML engineering (not research‑only). We believe autonomy repres

Deep expertise across AI technologies, machine learning, data analytics, and data management,. A genuine culture of learning:.

Experience in deep learning, NLP or LLMs; bonus for CUDA or data-pipeline chops. As a Research Engineer – ML track, you’ll build and optimise the large-scale learning systems that power our open-weight models. Conduct experiments on the latest deep-learning techniques (sparsified 70 B + runs, di

The Core ML organization is responsible for creating a cohesive, well lit path for machine learning at Google. Contribute to a compiler for a novel processor designed to accelerate machine learning workloads. The Core Machine Learning (ML) Organization drives ML excellence for Google.

Machine Learning models, with a significant focus on Reinforcement Learning. The DUE ML Core London team builds and operates scalable machine learning systems, simulation workflows, and insight tools designed to improve the evaluation and developer onboarding journeys. By combining expert human judg

Experience with machine‑learning frameworks (PyTorch, TensorFlow, JAX). Architect and optimize core reinforcement learning infrastructure, including training abstractions and distributed experiment management across GPU clusters. Design, implement, and test novel training environments, evaluations

This necessarily requires expertise not just in machine learning, but also in the curation of experimental data and computational modelling techniques such as homology modelling, molecular dynamics with classical force fields, quantum chemistry calculations with density functional theory. Collaborat

Enable a model-driven culture – Machine learning is at the core of everything we do. You will report to the Executive Director of Engineering who broadly oversees Cloud Infrastructure, High Performance Compute and Machine Learning Infrastructure space. Excitement for deeply engaging in technical d

As a Staff Machine Learning Engineer on the Predictive AI Models team at HubSpot, you’ll take on many responsibilities—leveraging deep expertise in machine learning to drive product vision forward through strong collaboration and hands‑on coding.

Shape the long-term machine learning research agenda within Systematic Equities. Represent IMC within the global machine learning community through conferences such as NeurIPS, ICML and ICLR. As Machine Learning becomes increasingly important within our Systematic Equities business, we are investing

Deep expertise across AI technologies, machine learning, data analytics, and data management,. A genuine culture of learning:.

Work across the full machine‑learning lifecycle, from data collection and annotation to training, evaluation and deployment. Strong applied machine‑learning engineering skills, with a track record of delivering production models. Proven experience building and shipping computer‑vision‑focuse

Machine Learning models, with a significant focus on reinforcement learning. The DUE ML Core London team builds and operates scalable machine learning systems, simulation workflows, and insight tools designed to improve the evaluation and developer onboarding journeys. By combining expert human judg

Define and lead the technical strategy for AI and Machine Learning systems that power recommendations, ranking, and personalization across Bumble products, delivering measurable improvements in user engagement and safety. Champion responsible AI practices, ensuring fairness, transparency, and user s

Senior Machine Learning Engineer. Support the productionalization and evolution of the Oracles — entities that leverage machine learning to drive Prima’s microservices behavior. Get access to learning resources, mentorship, and a growth plan tailored to you.

London is seeking a Machine Learning Engineer to own retrieval and knowledge representation components at the heart of Scale GP.

Machine learning is at the heart of it. We're looking for a Senior Staff Machine Learning Engineer to own pricing ML within Rosso. Desirable) Experience with causal inference or reinforcement learning in applied commercial settings.

We are looking for a Machine Learning Engineer to join our team and build the retrieval and knowledge representation systems at the heart of the platform. Strong engineering fundamentals, supported by a Master’s or PhD degree in Computer Science, Machine Learning, AI, or equivalent practical exper

Constant learning: From machine learning research to real‑time 3D systems, there’s always something new. As a Team Architect (Machine Learning Focus), you’ll act as the specialist technical authority within your discipline — helping shape the architecture, technical direction, and implementa

The AI & Data Platforms (AiDP) team is seeking a Principlal Machine Learning Engineer to lead the design, fine‑tuning, evaluation, and productionisation of large language models and generative internal AI systems at global scale. Our Principal Machine Learning Engineers are technical leaders who s

Proficiency in machine learning and and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines,. Create metrics to continuously evaluate the performance of machine learning solutions and improve the performance of ex

Deploy, monitor, and scale machine learning solutions in a production environment. Machine Learning Engineer, NLP | InsurTech, AI, Scale-up | London. As they scale towards their next major milestone, they are seeking a Machine Learning Engineer to help build the AI platform powering the future of au

Join us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI projects.

Bachelor's degree or equivalent practical experience.Master's degree or PhD in Computer Science or related technical field.Experience developing accessible technologies.Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and intera

We're seeking a Principal Machine Learning Engineer who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. Lead the architecture, design, and deployment of scalable Generative AI and Machine learning system

Lead Machine Learning Engineer. We’re looking for a Machine Learning Lead Engineer who wants to operate as a player‑coach — someone still very hands‑on, but excited to grow into a proper management role over time.

Train, evaluate, and deploy machine‑learning models in production. Ready to start your AI / Machine Learning Engineer journey?. AI / ML Engineers build, evaluate, and deploy machine‑learning systems at scale.

Lead Machine Learning Engineer - Risk Decisioning Office: United Kingdom Remote:Spain | UK Apply for this role. You’ll be working on a hugely impactful workstream, focused on the machine learning that underpins our Risk Decisioning feature. Extensive experience building and deploying Machine Learn

We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. You’ve built and shipped CV-focused deep learning systems and can demonstrate strong applied ML engineering (not research-only). We believe autonomy represents

We are hiring a Principal Machine Learning Engineer to work on cutting‑edge R&D and translating research into customer‑centric solutions. Fuelled by innovation, inclusivity, and a passion for making a global impact through world‑leading Speech AI, we’re looking for an experienced Principal M

Staff Machine Learning Engineer (Technical Lead, Machine Learning). Staff Machine Learning Engineer. Working at the intersection of research, infrastructure, and product, you'll be responsible for turning research direction into reliable, scalable, production‑grade machine learning systems.

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity.From our London HQ, we unite world‑class researchers and engineers in an environment that values deep exploration and methodical execution – because the best ideas take time to evo

We're seeking a Principal Machine Learning Engineer who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. Lead the architecture, design, and deployment of scalable Generative AI and Machine learning systems

The Data Science department straddles traditional Data Science and Engineering roles as well as the application of Machine Learning & AI. Your focus will be to dive deep into multiple data sets to understand relationships, develop time series, forecasting models, and support quant strategies, and pr

Transformer‑based NLP, Deep Learning, Tree‑based methods, Bayesian modelling) and the judgment to select solutions that balance theoretical soundness against engineering practicality.

You will develop and deploy machine learning systems that operate in high‑stakes, mission‑critical environments and work that has genuine and lasting impact on national security. If you have a strong background in computer vision and a passion for applying machine learning to complex real‑worl

As an Applied AI ML Lead - Senior Machine Learning Scientist within the Applied Innovation of AI (AI2) team, you will apply sophisticated machine learning methods to a wide variety of complex tasks, collaborate closely with stakeholders, and invest independent time towards learning, researching, and

We’re seeking machine learning engineers to spearhead the development of next-generation of online dating. The ideal candidate thrives in a fast-paced environment, is a creative thinker, and has a proven track record in Generative AI and Machine Learning. Collaborate cross-functionally with teams

The Reinforcement Learning Team at the Huawei London Research Centre is seeking a highly skilled and research-driven Machine Learning Engineer to join our team. Master or PhD or currently pursuing a PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Conduct origi

Stay current with academic and industry advances in machine learning, NLP, and deep learning, and guide the team in applying them to real-world challenges. Proficiency in machine learning, NLP, and deep learning algorithms, with experience using frameworks such as TensorFlow or PyTorch. We are seeki

Define and lead the technical strategy for AI and Machine Learning systems that power recommendations, ranking, and personalization across Bumble products, delivering measurable improvements in user engagement and safety. Champion responsible AI practices, ensuring fairness, transparency, and user s

Principal Machine Learning Scientist. Principal Machine Learning Scientist. Machine learning for search, ranking, recommendations or personalisation.

We are looking for a Machine Learning Engineer who are passionate about turning machine learning, and research into real, large-scale business impact. Experience with neural deep learning methods and machine learning. As a Machine Learning Engineer focusing on demand forecasting, replenishment optim

Strong expertise in machine learning, deep learning, neural networks, and generative AI models.

Our unique end-to-end machine learning approach learns to drive in complex, never‑seen‑before urban environments. We are seeking an Engineering Manager for our Machine Learning Platform (MLP) team, responsible for leading a team of over six engineers. Bespoke learning and development opportuniti