251 to 275 of 2,517 Remote/Hybrid Machine Learning Jobs

solutions span across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core … deep learning models for Advertising or related areas.Excellent communication and collaboration skills. Experience in the Advertising domain (preferred)Contributions to open-source ML projects (preferred)What's Roku's approach to hybrid working Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through ...

deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling … models. As a Research Scientist, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company’s leading internal AI model development. You will have the opportunity to publish ...

performance and career development Contribute to the growth of the wider AI and Data practice and community Stay current on advancements in AI and ML, bringing new ideas and approaches into client engagements What You'll Need Essential: Minimum 2:1 degree in Computer Science, AI, Data Science, Statistics … related quantitative field Deep expertise in developing AI and ML models including time series, supervised and unsupervised learning, reinforcement learning and LLMs Experience with modern AI engineering approaches including prompt engineering, RAG and agentic AI Strong Python skills with a solid grounding in software engineering best practices including ...

expand into new customer segments, and build the underwriting capability needed to scale into Europe. We’re looking for a senior ML leader to help shape that next phase. You’ll lead a high‐calibre team of ML scientists and help define Borrowing’s ML roadmap across UK growth … across our range of products unlocking new data and faster model development helping Monzo build underwriting that scales into new markets shaping how advanced ML and AI can create real value in Borrowing You’ll partner closely with leaders across Credit Strategy, Product, Engineering, Model Validation, Data, and Platform ...

Machine Learning & AI Materials Scientist, you will be a part of Dassault Systèmes Gen7 vision and actively contribute towards its implementation. Materials AI is a strategically important, rapidly growing, and evolving core technology that will underpin the future of all Dassault Systèmes brands materials-related products and services. … computer science or related fields. Practical experience with deep learning and machine learning algorithms and the use of popular AI/ML frameworks. Experience in coding (web, cloud, algorithms, industry processes...). Experience of modern development techniques and environments (agile, web, cloud...) – will be an asset. Industry ...

advanced algorithms and training techniques for Large Language Models (LLMs). LLM Training (Continued pretraining, instruction tuning, reinforcement learning, distributed training, efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., reasoning models, LLMs + knowledge graphs, test time compute, CoT pipelines, tool use & API calling, etc. … demonstrated experience successfully managing software development teams in an agile environment. Experience spearheading technical development in a cross-functional setting, with responsibility for ML applications; close partnership with Applied Scientists, R&D groups, or similar. A portfolio showcasing significant contributions to technology innovation Excellent project management, organization and communication skills ...

responsible for the research, design, and continuous improvement of our execution algorithm platform. We combine deep expertise in market microstructure, statistical modelling, and machine learning with world-class engineering to build algorithms that optimise execution quality, minimise market impact, and adapt intelligently to real-time market conditions. … clients. Continuous learners — You stay at the frontier of quantitative research, whether that means reading the latest papers on optimal execution, experimenting with new ML techniques, or learning from post‐trade analytics. Culture carriers — You contribute to an inclusive, high‐performance team culture. You are willing to mentor others ...

financial services (banking, capital markets, insurance, or fintech) to design, build, and scale GenAI-powered data solutions. The role combines modern data engineering, ML/LLM integration, and domain-specific financial knowledge to deliver enterprise-grade AI platforms. You will lead the development of data pipelines, vector databases, retrieval systems … your home; noting that you will be unable to work at home 100% of the time.**Key Responsibilities**:* Design, develop, and deploy AI/ML and Generative AI solutions using Python.* Build, train, evaluate, and fine-tune machine learning and large language models (LLMs) using frameworks such ...

leading UK retail insurer to appoint a Senior Data Scientist into their pricing function. It's a role with genuine technical range - deep learning, predictive analytics and machine learning - and a direct line of sight into how your models shape business decisions, rather than sitting behind someone … else's. What you'll do Build and evaluate machine learning models, from deep learning through to predictive analytics, that solve genuine business problems. Own the data science lifecycle across large, multi-source datasets, from analysis and cleansing through to deployment. Apply a broad statistical toolkit, from ...

gates along this journey, ensuring that each training phase is sufficiently validated before the next phase begins. You’ll drive technical excellence across our ML delivery pipelines. You’ll review release content to ensure it meets our standards, identify bottlenecks in the process, and partner with platform teams to make … mistake here has real consequences for how the product performs on-road and how it's perceived externally. Key responsibilities: Collaborate with ML engineers, data engineers and product teams to deliver features end to end. Review release content — model and metric changes, evaluation results — to confirm everything meets Wayve ...

Harnham is seeking a Senior Machine Learning Engineer in London to take ownership of end-to-end machine learning delivery. The ideal candidate will play a key role in designing, building, and productionising machine learning solutions across various use cases while collaborating with data … plus a 20% bonus, with hybrid working (two days per week in-office), and the chance to work on impactful ML projects with a collaborative team. #J-18808-Ljbffr ...

connected devices, cloud services, data platforms, and engineering teams. As the capability matures, the role will provide a clear development path into MLOps and ML platform engineering, supporting model deployment, model lifecycle controls, ML pipeline automation, and governed promotion of machine learning solutions from development into production. … GitHub, Azure DevOps and related platform tooling. Help maintain Azure-based development, test, QA and production environments used by digital, IoT, data and ML platforms. Contribute to secure platform configuration, access control, secrets management, monitoring and operational governance. Monitor platform health, investigate operational issues and contribute to improving reliability, supportability ...

partnered with a well-funded, mission-driven, 40-person research organisation using advanced AI to decode animal communication. Operating at the intersection of machine learning, bioacoustics and scientific discovery, the team is building foundation models trained on unique multimodal datasets to unlock new understanding of non-human communication. … long-term AI research strategy Lead and develop senior research leaders across Foundation Models, Research Infrastructure and Decoding Drive the application of large-scale machine learning to scientific research challenges Evaluate and guide foundation model development, deployment and research quality Build external partnerships across academia, industry and scientific ...

signal generation pipelines from data ingestion and feature engineering to model training and deployment - in collaboration with our trading and infrastructure teams. Responsibilities: Develop ML-based alpha generation models using high-frequency order book and market microstructure data. Design and maintain data pipelines, preprocessing, and feature extraction workflows tailored … Skills Requirements: Degree in Computer Science, Machine Learning, Applied Mathematics, or similar quantitative discipline. Strong programming skills in Python and familiarity with ML libraries. Proven track record applying ML/DL to real-world problems. Familiarity with time-series modeling, signal extraction, or high-frequency data. Experience ...

Intercom is looking for a Machine Learning Engineer to identify valuable ML opportunities and bring prototypes into production. The ideal candidate should have a strong applied machine learning background, solid statistical knowledge, and excellent communication skills. You'll work closely with product and design teams … create exceptional ML products. Our hybrid working policy allows for flexibility, and we expect in-office collaboration at least three days a week. Benefits include competitive salary, pension scheme, and comprehensive health insurance. #J-18808-Ljbffr ...

range of applications. The role will involve a combination of: Applied physics and experimental research Imaging technology development Data analysis and algorithm development Machine learning/artificial intelligence applications Scientific modelling and simulation Technical reporting and stakeholder engagement A strong understanding of MATLAB is essential , as you will … extensively to develop, test and optimise algorithms and analytical solutions. Analyse complex datasets and translate findings into technical reports, recommendations and executive summaries. Develop machine learning and AI-based algorithms, including deep learning approaches, to improve detection performance and reduce false positives. Work closely with engineering, operations ...

range of applications. The role will involve a combination of: Applied physics and experimental research Imaging technology development Data analysis and algorithm development Machine learning/artificial intelligence applications Scientific modelling and simulation Technical reporting and stakeholder engagement A strong understanding of MATLAB is essential , as you will … extensively to develop, test and optimise algorithms and analytical solutions. Analyse complex datasets and translate findings into technical reports, recommendations and executive summaries. Develop machine learning and AI-based algorithms, including deep learning approaches, to improve detection performance and reduce false positives. Work closely with engineering, operations ...

Intercom is seeking an experienced Machine Learning Engineer to join our ML team in Greater London. In this role, you'll identify opportunities for machine learning, develop prototypes, and work closely with product teams to bring innovative solutions to life. Applicants should possess a strong understanding … machine learning techniques, with a focus on practical application and collaboration across disciplines. We offer a competitive salary, equity in a fast-growing startup, and a variety of benefits to support your well-being. This role supports hybrid work, requiring a minimum presence in the office three days ...

partners (product, engineering, data) to define problems, translate them into scalable solutions, and deliver measurable business outcomes. Lead the end-to-end lifecycle of ML projects: from ideation, data acquisition, feature engineering, training, and evaluation to deployment and ongoing iteration. Drive innovation in recommendation systems by researching and integrating emerging … ML techniques, frameworks, and tooling, while contributing technical expertise to long-term product and data strategy. Act as a thought leader in the recommendations space, sharing learnings internally, engaging with the wider ML community, and showcasing our work externally. Qualifications Proven track record in designing, deploying, and optimizing large-scale ...

remote working availableEmployment: Permanent, full-timeMFK Recruitment is recruiting an Unreal Engine Developer for an innovative UK technology company developing advanced Artificial Intelligence and Machine Learning solutions for defence, security and other demanding real-world environments.The company specialises in computer vision, perception and autonomy, combining modern deep learning … synthetic imagery generation.Automate object placement, cameras, lighting, weather and image-capture workflows.Transform an existing research platform into scalable production software.Work with AI and Machine Learning Engineers to optimise synthetic training datasets.Improve development, rendering and asset-production workflows.Develop intuitive tools that allow users to configure and generate synthetic imagery.Contribute ...

Work closely with Infrastructure and Backend teams on scalable serving systems Monitor production performance and drive continuous optimisation Mentor engineers and help raise the ML engineering bar across the team What We're Looking For Proven experience delivering ML systems to production environments Strong, low-level Python skills and deep … environments Strong understanding of model evaluation, experimentation, and monitoring Ability to debug performance, memory, and reliability issues in production Strong systems thinking understanding how ML decisions impact infrastructure High ownership and comfort operating in a fast-paced startup environment Nice to have Experience with vLLM or custom inference servers Experience ...

expect to: Provide technical leadership, set architectural direction, and drive key design decisions across multidisciplinary teams. Design, build, and operate production AI/ML systems across areas such as generative AI, intelligent agents, predictive modeling, and optimization. Develop reusable AI platforms, services, and infrastructure that accelerate experimentation, deployment, monitoring … years of software engineering experience, including significant experience designing, building, and operating complex production systems. 4+ years of experience building and deploying AI/ML, optimization, or other model-driven applications in production. Strong proficiency in Python and a track record of developing maintainable, well-tested production software. Strong ...

this role, you can expect to: Provide technical leadership, set architectural direction, and drive key design decisions across multidisciplinary teams. Design, build, andoperateproductionAI/ML systems across areas such as generative AI, intelligent agents, predictive modeling, and optimization. Develop reusable AI platforms, services, and infrastructure that accelerate experimentation, deployment, monitoring … 12+ years of software engineering experience, including significantexperiencedesigning, building, and operating complex production systems. 6+ years of experience building and deploying AI/ML, optimization, or other model-driven applications in production. Strongproficiencyin Python anda track recordof developing maintainable, well-tested production software. Strong SQL skills and experience working with ...

Company Description Digica is a company specializing in the application of Artificial Intelligence (AI) and Machine Learning (ML) methods in research and development projects for leading global clients. We work with partners in the defense, healthcare, and entertainment industries, building innovative AI-driven solutions that bridge … only masters Data Science techniques but can also lead projects end-to-end – from initial client discussions and solution design to production deployment of ML models. You will be responsible for: Designing and implementing CV/ML/AI models (predictive, classification, LLM, recommendation systems, etc.), Selecting and optimizing algorithms ...

product/service offerings that match the client's next-phase needs (for example: AI accelerators, intelligent automation, data platform builds, analytics and ML products, application modernisation) and help position them. Lead internal lessons-learned and continuous improvement: capture what works in the account, feed improvements back into Appvia … anticipates needs, and builds trust and long-term partnerships. Technical curiosity and continuous learning, staying ahead of software engineering, data and AI/ML developments and how they translate into client value. Collaborative style with the ability to work across internal teams, influence without direct authority, and build shared ...