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Lecturer / Senior Lecturer / Reader in Artificial Intelligence Department Computer Science Salary Starting from £47,389, rising to £73,709 Contract Type Full Time, Open Ended Reference AS13762 The Department of Computer Science wishes to appoint a Lecturer (Assistant Professor) or Senior Lecturer (Associate Professor) or Reader (Associate Professor) in AI, specifically Natural Language Processing, Reinforcement Learning and/or AI Security/Assurance/Verification, to join our strong and growing Artificial Intelligence and Machine Learning Research Group. We are a highly collaborative team, working not only with other researchers in our department, but across the university and beyond. We will offer you support and growth opportunities, including career mentoring, and opportunities to progress, manage and lead. We will help you to develop collaborations with regional, national and international partners, for example, in science, entertainment, sport and healthcare. We will support the deepening of existing academic collaborations and the development of new ones. You will offer us a strong academic record and the ability and enthusiasm to create an engaging experience for our excellent students. A...

C&D Talent Advisory is seeking a Senior Machine Learning Engineer (Production AI Systems) to build, deploy, and operate production‑grade ML systems that detect and counter disinformation at scale. You'll collaborate with software and intelligence teams to deliver reliable AI systems in real‑worl

C&D Talent Advisory is seeking a Senior Machine Learning Engineer (Foundation Models) in London. You will lead development, optimisation, and production deployment of a next-generation foundation model, architecting large-scale ML systems and GPU-accelerated infrastructure. Join early-stage robotics of AI, work closely with founders, and shape technical roadmaps with ownership for production-ready ML platforms. Hybrid onsite visits monthly; London-based with remote-friendly setup. #J-18808-Ljbffr

When you apply, our AI-powered matching platform considers you not only for this opportunity, but also for other relevant roles across our network, so one application can unlock multiple career opportunities. We only work with real companies hiring for live positions. Every opportunity on our platform is an active search. If there's a strong match, we'll guide you through the process. If not, we won't ignore you. Our Client is a venture-backed AI startup building a next-generation foundation model to enable fully autonomous software delivery for embedded control systems. This is an opportunity to join at an early stage, work directly with the founders, and help shape a technology designed to redefine how software is built, optimized, and deployed. London, United Kingdom (Remote with monthly office visits, ideally onsite) • Employment Type: Full-time, • Level: Mid‑Senior Level, • Compensation: £100,000-£150,000 + Equity (Share Options), • Work Authorization: Existing UK work authorization required We're looking for a Senior Machine Learning Engineer (Foundation Models) to lead the development, optimisation, and production deployment of our next‑generation foundation model. This is a deeply technical, hands‑on role where you'll architect large‑scale ML systems, optimise distributed training and inference, build GPU‑accelerated infrastructure, and work directly with founders to solve complex engineering challenges. If you're excited by cutting‑edge AI research, production‑scale machine learning, and building systems that push the limits of modern deep learning, we'd love to hear from you. • Lead the research, development, and deployment of large‑scale foundation models, • Define long‑term technical strategy for high‑performance ML systems, • Build scalable training and inference infrastructure, • Own model quality, performance, and reliability, • Optimise distributed training and inference pipelines, • Design GPU‑accelerated systems, including custom CUDA kernels when needed, • Profile and optimise data pipelines, training loops, inference, and deployment, • Build internal tooling, benchmarking systems, and evaluation frameworks, • Design scalable ML infrastructure and solution architectures, • Evaluate and implement state‑of‑the‑art ML technologies, • Work closely with founders to translate product goals into technical roadmaps, • Drive engineering excellence across the ML platform, • Extensive experience designing and building large‑scale foundation models, • Strong Python and CUDA C/C++ expertise, • Deep knowledge of PyTorch (preferred) or another major deep learning framework, • Experience optimising and debugging deep learning models, • Experience with distributed training and large‑scale inference, • Experience building ML systems on AWS, Azure, or GCP, • Strong GPU optimisation experience, • Experience building production ML infrastructure, • Excellent system design skills, • Delivery‑focused mindset with strong ownership, • Comfortable solving ambiguous, high‑impact problems, • Able to work onsite in London or visit the office at least once per month, • Experience with Mixture of Experts (MoE) or State Space Models, • Custom CUDA kernel development, • ML systems operating under strict production SLOs, • Experience building internal ML tooling and benchmarking frameworks, • Startup or research lab experience shipping foundation models, • Experience scaling distributed GPU clusters, • £100,000-£150,000 salary, • Meaningful equity (Share Options), • Opportunity to build a first‑of‑its‑kind foundation model, • Direct collaboration with founders, • No take‑home assignments or live coding interviews, • Transparent, low‑ego engineering culture, • High ownership and technical autonomy, • Office‑first environment with flexibility for exceptional candidates If you want to help build the next generation of foundation models and solve some of the hardest ML problems in production, we'd love to hear from you... #J-18808-Ljbffr

I'm working with a well-funded early-stage BioAI startup applying machine learning to a hard, underexplored biological problem with real implications for climate resilience and food security.They're building an ML-first platform where research doesn't sit in isolation.Models are expected to ship, be

Machine Learning Engineer sought for a 6-month contract to build and deploy ML models in a Financial Services environment.

Machine Learning Engineer specializing in NLP to build and refine AI-powered design platform.

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 automated operations. Deploy, monitor, and scale machine learning solutions in a prod

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. Extensive hands‑on Machine Learning engineering experience, with a

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 Learning models to production.

As Technical Lead, Machine Learning, you own the execution layer of A1’s intelligence. Make pragmatic trade-offs and ship improvements quickly, learning from real usage.

Our Principal Machine Learning Engineers are technical leaders who shape the direction of intelligent systems across Apple. Extensive hands‑on Machine Learning engineering experience, with a demonstrable track record of shipping ML‑powered products at scale. The AI & Data Platforms (AiDP) team i

Champion responsible AI practices, ensuring fairness, transparency, and user safety are embedded into all machine learning systems. Deep expertise in machine learning, with hands‑on experience building and deploying large‑scale systems in production environments. Define and lead the technical st

As a Staff Machine Learning Engineer, you’ll provide technical leadership for the ML infrastructure that underpins these capabilities, working across teams to define the architecture, roadmap and engineering direction for the next generation of our platform.

Learning and development: Budgets for books, courses, and company-wide training to support your continuous growth.

We are looking for a Machine Learning Engineer to join our Engineering Team.

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

As ML Engineer at Maze, you'll be the technical leader driving our machine learning infrastructure from experimentation to production, ensuring our AI-powered cybersecurity solutions deliver measurable impact for customers worldwide. Drive the actual productionization of LLMs and machine learning to

Senior Machine Learning Engineer – Visual Computing Group (VCG). PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics, or a related field, or equivalent skills evidenced by work experience.

Strong programming skills and experience with modern machine learning frameworks. The opportunity to influence the future of machine learning at one of the world’s leading trading firms. As Machine Learning becomes increasingly important within our Systematic Equities business, we are investing in

As a Machine Learning Engineer at Autodesk Research, you will work side‑by‑side with world‑class researchers and engineers to build new ML‑powered product features to help our customers imagine, design, and make a better world. Experience scaling machine learning training and data pipelines.

The DUE Machine Learning team will build and operate scalable machine learning and data systems, simulation workflow and insight tools, improve and speed up the evaluation and onboard developer journeys. It will combine expert human judgements and advanced machine learning models to deliver training

We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. Machine Learning Engineer (Computer Vision). You will be responsible for designing, training, and deploying

Machine Learning Lead 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.

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. Expertise in

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

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

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

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 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. Design, implement, and evaluate machine learning models for demand forecasting, re

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

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 Learning models to production. Lead Machine Learning Engineer - Risk Decisioning Office: United Kingdom Remote:Spain

You are interested in or have worked with multimodal machine learning. We’re seeking a Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding across Spotify. Build and scale machine learning systems that generate deep understanding of content ac

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.

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

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

Our Data and Machine Learning team is growing! We’re looking for a Head of Data Engineering and Machine Learning to join our team in London.

As a Principal Machine Learning Engineer, you will be responsible for turning research direction into production-grade machine learning systems. Open‑source contributions to machine learning or systems libraries. Principal Machine Learning Engineer.

Proficiency in machine learning, NLP, and deep learning algorithms, with experience using frameworks such as TensorFlow or PyTorch. 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. Minimum Qual

Clustering, Industry, Machine Learning, NLP, Parsing, United Kingdom. At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Conduct experiments on the latest deep‑learning techniques (sparsified 70 B + runs, distributed training on th

Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second.We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins,

Proven track record in machine learning, including multimodal learning, designing new architectures, hands-on experimentation, analysis, visualization, and model deployment. We're looking for individuals with strong engineering skills, including expertise in designing, implementing, improving, and 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.

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

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 Machine Learning (ML) Organization drives ML excellence for Google. 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.

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

Constant learning: From machine learning research to real‑time 3D systems, there’s always something new. Are you excited about machine learning, technical architecture, and building the intelligent systems powering the future of sports entertainment?. Strong experience in machine learning engine