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Integrate classical machine learning models into agentic AI workflows where predictive capabilities inform planning, decision-making, and action selection. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakth

Machine Learning Engineer - Contract (Financial Services, Outside IR35). Design, build, and deploy machine learning models into production within a Financial Services environment.

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. We are working with a ful

Machine Learning Research Engineer - LLM post-training/mid-training. Computer Science, Machine Learning, or a closely related discipline. Knowledge of alignment and reasoning strategies, including in-context learning, chain-of-thought, tool integration, or retrieval-augmented approaches.

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

Machine Learning Engineer at deep tech industrial AI startup. Machine Learning Engineer – Forward Deployed. You will deploy and harden machine learning components in real‑world energy and industrial environments.

The ideal candidate will have invested significant time developing a thorough understanding of machine learning fundamentals, whether through academic study, industry research, or rigorous self-directed learning, and will have demonstrated experience applying that knowledge to build production syste

Core Duties Design and develop machine learning models for traditional ML use cases.

For Senior Machine Learning Engineer: build state-of-the-art generative systems for video and audio synthesis, performance transfer, and visual translation. A strong understanding of machine learning fundamentals. Open-source contributions or published research in machine learning.

We are looking for an excellent machine learning engineer who understands and has experience in this field and current Generative AI trends. Solid understanding of machine learning principles. Background includes machine learning and AI implementation.

As a Senior Machine Learning Engineer, you’ll focus on designing and implementing reusable ML templates, deployment patterns, and MLOps tooling that support scalable, reliable, and secure ML solutions across the organisation. Professional experience as a Machine Learning Engineer, ideally with exp

Develop core trading system libraries for Deutsche Bank’s Global Markets in Rates, Flow Credit, Commodities and Emerging Markets Debt, focusing on machine learning (ML) integration to improve trade and RFQ flow, particularly for the swaps desk. Strong numeracy skills, ideally with machine‑learni

Are you an aspiring data scientist with a strong foundation in statistical modelling, programming, and business problem-solving? Do you thrive on learning fast, solving real-world problems, and making an impact from day one? We’re looking for a Junior Machine Learning Engineer on a 6 months fixed

Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Design, train, and opt

Are you an aspiring data scientist with a strong foundation in statistical modelling, programming, and business problem-solving? Do you thrive on learning fast, solving real-world problems, and making an impact from day one? We’re looking for a Junior Machine Learning Engineer on a 6 months fixed

A1 is a self-funded, independent AI group, focused on building a new consumer AI application with global impact.We’re assembling a small, elite team of ML, engineering and product builders who want to work on meaningful, high-impact problems.You will shape the core technical direction of A1 - mode

As a Machine Learning Engineer III, 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 use cases, incl

Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Lead Machine Learning Engineer.

Strong knowledge of machine learning algorithms and model evaluation techniques. Design, build, train, and evaluate machine learning models.

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. Stay current with the latest machine learning and artificial intelligence research, attending top‑tier co

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

PhD in Computer Science or Machine Learning preferred. Deep knowledge of modern deep‑learning architectures, optimisation, and tooling. Experience designing, training, and evaluating deep learning systems.

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.

As a Machine Learning Researcher, you will help design, train, and evaluate foundation models that learn from large-scale biological data (genomics, epigenomics, single-cell, proteomics, clinical signals). Strong background in machine learning or a closely-related field (e. Modelling & algorithms ��

Machine Learning Scientist – Wave Mobile Money.

Senior Machine Learning Engineer | Python | PyTorch | Machine Learning | Large Language Models | RAG | Remote, UK. Senior Machine Learning Engineer | Python | PyTorch | Machine Learning | Large Language Models | RAG | Remote, UK. As a Senior ML Engineer, you'll be the technical leader driving machin

A dynamic tech start-up based in London is seeking a talented Machine Learning Engineer to join their data science team. This hybrid role requires 1-2 days in the office each week and involves collecting, preprocessing, and analyzing datasets to develop machine learning models.

Key Qualifications*** Excellent understanding and experience in deep learning model development, optimization and deployment (PyTorch, Torch compile, export workflows such as Torch Export and ONNX, performance profiling)* Strong software engineering skills and experience building robust ML codebases

You’ll be working on a hugely impactful workstream, focused on the machine learning that underpins our Chat feature. Extensive experience building and deploying Machine Learning models to production.

We are looking for an excellent machine learning engineer who understands and has experience in this field and current Generative AI trends. Solid understanding of machine learning principles. Background includes machine learning and AI implementation.

As the Lead Machine Learning Engineer, you will own the technical strategy for predicting user actions. Select and implement optimal model architectures using a mixture of LLM steps and traditional machine learning models.

Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Design, train, and opt

We’re seeking Machine Learning Engineers to design and deploy ML models for national security applications. Build and optimise Machine Learning pipelines. Sign in to set job alerts for “Machine Learning Engineer” roles.

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

A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Are you passionate about applying advanced machine learning techniques to solve real‑world problems?. We are seeking indiv

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

With thousands of employees and a rapidly expanding AI/ML function, this company is investing deeply in applied machine learning to enhance digital experiences, power intelligent automation, and unlock data-driven decision-making. As a Senior Machine Learning Engineer, you’ll be part of a cross-fu

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. Research or engineering experience in one or more of the following: n

A leading service provider in technology is looking for a Head of Machine Learning to lead their engineering team. This permanent role involves developing and deploying machine learning solutions, managing the ML lifecycle, and collaborating with various stakeholders.

We are looking for a Data Annotator / Data Analyst to support the development and evaluation of AI and machine learning solutions. Annotate and label datasets for various AI and machine learning use cases. AI or machine learning problems.

As an Applied AI / ML Lead – Vice President - Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting‑edge AI techniques with the company's unique data assets to optimize business decisions and automate proce

Data Machine Learning & AI Specialist | Women In Data | Women In Tech. Senior Machine Learning Engineer. As a Senior Machine Learning Engineer, you'll be at the forefront of developing sophisticated time series forecasting solutions that drive business value and market insights.

Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Senior Machine Learning Engineer (Large Systems). As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by

Senior Machine Learning Engineer. Senior Machine Learning Engineer. The chance to take significant ownership of production Machine Learning in a live system.

Deep experience with foundation models, self‑supervised or representation learning. Strong knowledge of transformers, geometric deep learning (GNNs), or variational methods. Experience with multimodal learning and large‑scale model training (PyTorch or JAX).

Proven track record in applying machine learning / deep learning techniques for time‑series, physiological signals or continuous sensor data. Senior Machine Learning Engineer. As a Senior ML Engineer / Senior Data Scientist at CoMind, you will join a multidisciplinary team working at the intersect

We're hiring Machine Learning Researchers for our quantitative modelling team. You will design, test, and implement new machine learning models in Python, continually improving our existing state‑of‑the‑art solutions. A strong mathematical understanding of the fundamentals of Machine Learning

Senior Machine Learning Operations Engineer. You’ll work closely with different teams such as Data Science, Data Engineering, Architecture, and Software Development to ensure efficient operation and use of Data Science models and will facilitate the full life cycle of machine learning models from