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Lead Machine Learning Engineer. In this role, you will provide senior technical leadership across complex machine-learning initiatives, shaping direction and priorities, guiding teams and stakeholders through ambiguous, high-risk delivery, building durable shared solutions, growing engineering capab

Machine Learning Engineer - Contract (Financial Services, Outside IR35). Design, build, and deploy machine learning models into production within a Financial Services environment. Collaborate closely with Data Scientists, Software Engineers, Risk, and Product teams.

We’re looking for a mid-senior (4+ years experience) Machine Learning Engineer to help design, build, and scale our production ML systems with ownership from experimentation through to deployment. Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pip

Machine Learning Research Engineer - LLM post-training/mid-training. Computer Science, Machine Learning, or a closely related discipline. Ability to combine innovative research thinking with pragmatic engineering to deliver scalable, high-performance systems.

Machine Learning Senior Staff Engineer. Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs). In this role, you’ll drive the full lifecycle of AI development — from research and large-scale model training to production deployment — while mento

With strong backing for data-driven decision-making, they are now looking for a Machine Learning Engineer to help operationalise, maintain, and optimise their ML systems across the organisation. Deploy, productionise, and monitor machine-learning models across the business. Work alongside data engin

We’re looking for a mid-senior (4+ years experience) Machine Learning Engineer to help design, build, and scale our production ML systems with ownership from experimentation through to deployment. Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pip

Machine Learning/AI Engineer, Fully Remote, £80,000 - £110,000 per annum. Experience in writing production-ready Python code, with a strong technical foundation grounded in engineering best practices. My client, a leading AI solutions company are currently looking to strengthen their team and brin

Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles.

We are looking for an excellent ML Ops Engineer to join our research and development team.

Core Duties Design and develop machine learning models for traditional ML use cases. ML Engineer - Must hold active DV ClearanceThis is an exciting time to join a team to help pioneer both customers and a

We are looking for an excellent ML Ops Engineer to join our research and development team.

Our team of full stack Machine Learning Engineers are responsible for improving the Tool Use platform, and horizontal model quality for all services that would like to integrate with GeminiApp, and building new agentic experiences powered by them. At Google DeepMind, we’re a team of scientists, en

Lead Machine Learning Engineer. Lead Machine Learning Engineer. MSc or PhD in Computer Science, Machine Learning, or Signal Processing.

Join Wave Mobile Money as an Applied Machine Learning Engineer. Applied Machine Learning Engineer – Wave Mobile Money. Enjoy and excel at working on machine learning and statistics problems.

Deep understanding of ML algorithms (supervised/unsupervised learning, reinforcement learning). Design and implement machine learning models for financial applications, with a focus on pricing and risk analytics. Develop deep learning architectures for time series prediction, anomaly detection, and

Join to apply for the Machine Learning Engineer role at Roke. As a Machine Learning Engineer at Roke, your mission is to harness the power of AI to protect and advance national interest. Design, develop, and deploy machine learning models to solve real‑world problems in national security.

You have a solid grasp of the mathematical and conceptual foundations that underpin modern machine‑learning methods. Wanting to turn advanced machine learning into dependable production systems, you will shape technical delivery and drive real-world impact for clients. This role involves designing

As a Machine Learning Engineer III on this team, you will design and implement scalable machine learning systems that optimize ad selection, campaign performance, and creative personalization at a global scale. Design, implement, and maintain large-scale machine learning pipelines for advertising us

Get notified about new Machine Learning Engineer jobs in London Area, United Kingdom. Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications. Transition validated experiments into production‑ready solution

Design, develop and deliver novel machine learning techniques to solve diverse tasks in game development, incorporating foundation models and high‑level reasoning into the imitation process. An interest in gaming and exploring the intersection of machine learning and game technology is desirable.

Machine Learning Research Engineer - LLM post-training/mid-training. Computer Science, Machine Learning, or a closely related discipline. Strong grasp of transformer architectures, optimization techniques, and representation learning principles.

They arecurrently in the process of expanding operations and scaling their platform,so areon the search for a talented Machine Learning Engineer to join theirdata science team. Bachelor's and MSc in Computer Science, Data Science, Machine Learning, or a related field. Proficiency in machine learning

Software Engineer (Leadership) - Machine Learning Responsibilities:. Meta is seeking talented principal engineers to join our teams in building cutting-edge products that connect billions of people around the world. If you're interested in leading a world-class team of engineers and researchers to w

Machine Learning Engineer - AI Data Trainer. Alignerr, a leader in AI research, invites top talent to contribute as a Machine Learning Engineer - AI Data Trainer. Position: Machine Learning Engineer - AI Data Trainer.

We are looking for a Machine Learning Engineer to join our Bristol-based client, to deliver end-to-end solutions on exciting new projects which have come about due to growth. You’ll be designing, building and deploying machine learning models which solve complex business challenges, working closel

We are looking for an exceptional Machine Learning Engineer to work in our ML and HPC Architecture team, identifying and working with tools at the cutting‑edge of machine learning. You will be comfortable working both independently and in small teams on a variety of engineering challenges, with a

Develop machine learning (ML) models for fraud detection and risk prediction. Bachelor’s degree in Engineering, Computer Science, Mathematics, or a related technical field. Conduct feature engineering, data analysis, and A/B testing to improve model performance.

Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and c

We’re looking for a Machine Learning Engineer to join the Consumer Gen AI Product MLE team at Snap. A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly. Strong background in Machine Learning.

Machine Learning Research Engineer. Deep understanding of state‑of‑the‑art machine learning methodologies and proven experience in translating them into practical solutions. Engineering and Information Technology.

Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse clients. Defining and implementing Faculty’s standards for deploying machine learning at scale. You understand the full machine learning lifecycle and have experience operationalising models built wit

We're looking for a Machine Learning Engineer to join the Consumer Gen AI Product MLE team at Snap!. Research or engineering experience in one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking, or other related applications of mac

We emphasize research rigor, empirical validation, and practical impact, translating novel ideas into deployable machine learning solutions under real-world constraints. Stay current with advances in computer vision and applied machine learning research, and assess their applicability to real-world

En la actualidad, estamos buscando unMachine Learning Engineer que puede trabajar en la producción, implementación y mantenimiento de algoritmos de aprendizaje automáticopara que se incorpore a nuestro equipo de consultores de forma indefinida. Conocimientos de algoritmos de Machine Learning (Cla

We’re building autonomous agents that think like engineers: they run every critical user journey, catch failures before users do, and self-heal as the codebase evolves. Fluency with AI/LLMs: LangChain, vector stores, prompt engineering. Flaky tests kill trust, stall releases, and bleed engineering

Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Demonstrated expertise in the full lifecycle of mac

Machine Learning models, with a significant focus on Reinforcement Learning. Staff Machine Learning Engineer – Waymo. Join to apply for the Staff Machine Learning Engineer role at Waymo.

Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse Financial Services clients. Defining and implementing Faculty’s standards for deploying machine learning at scale. You understand the full machine learning lifecycle and have experience operationalisi

Your work will influence long‑term platform evolution and help shape the architecture, software stack and tooling that underpins large‑scale machine learning computation. Collaborate with researchers, senior stakeholders and engineers to understand their compute challenges and design optimised s

Some experience applying machine learning in a commercial setting or a PhD/MSc with a focus on machine learning. A good understanding of machine learning and its use in solving complex real‑world problems. Skilled in the use of Python for machine learning, and ideally using PyTorch.

Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: UK, Yorktime type: Full timeposted on: Posted Yesterdayjob requisition id: R0018302*Position: Machine Learning EngineerReporti

Machine Learning Engineer | Omics | RNA | DNA | PyTorch | Hybrid, London. Our team is currently composed of 12 members, including ML engineers, data engineers, and bioinformaticians. The ideal applicant will have experience using genomic data in a machine learning context.

As a Staff Machine Learning Engineer in Search, you’ll focus on recommender systems modeling at the intersection of generative recommenders and foundational understanding of user taste across music and talk content. You have a strong background in machine learning and recommender systems, bridging

Junior Machine Learning Engineer. In this role, you’ll help design, develop, and deploy machine learning and generative AI solutions tackling complex, real-world challenges. Are you excited about creating AI solutions that make a real difference? Do you want to apply machine learning to high-impac

I am working with an AI Tech Start-Up developing AI solutions for engineering benefits, looking for an AI Machine Learning Engineer. As the AI Machine Learning Engineer, you will join a small team where you can have a large impact on the overall development of the companys software and AI models,

Principal Machine Learning Engineer, Advanced Network Orchestration. We are seeking a highly experienced Machine Learning Engineer for a hybrid role focused on advanced temporospatial networking and resource management. Job function: Engineering and Information Technology.

Strong understanding of classical Machine Learning and modern Deep Learning methods. You will guide the delivery of real world Machine Learning systems across the business and help establish a strong engineering culture across our AI organisation. We are looking for a Machine Learning Engineering Ma