276 to 300 of 2,601 Remote/Hybrid Machine Learning Jobs

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 ...

series and multimodal data, simulation and world models, trustworthy decision-support agents and staged autonomy, and AI-native approaches to industrial data foundations, ontology learning, and evaluation.This is a hands-on role for someone who thrives in uncertain problem spaces, works with high autonomy, and finds practical ways … frontier industrial AI.Develop new models, algorithms, evaluation methods, and system architectures.Build high-quality experimental systems and validated research prototypes.Publish at leading AI and machine learning venues and contribute to AVEVA’s patent and IP portfolio.Create benchmarks, datasets, and evaluation frameworks for industrial AI.Partner with leading AI labs, universities ...

series and multimodal data, simulation and world models, trustworthy decision-support agents and staged autonomy, and AI-native approaches to industrial data foundations, ontology learning, and evaluation.This is a hands-on role for someone who thrives in uncertain problem spaces, works with high autonomy, and finds practical ways … frontier industrial AI.Develop new models, algorithms, evaluation methods, and system architectures.Build high-quality experimental systems and validated research prototypes.Publish at leading AI and machine learning venues and contribute to AVEVA’s patent and IP portfolio.Create benchmarks, datasets, and evaluation frameworks for industrial AI.Partner with leading AI labs, universities ...

series and multimodal data, simulation and world models, trustworthy decision-support agents and staged autonomy, and AI-native approaches to industrial data foundations, ontology learning, and evaluation. This is a hands-on role for someone who thrives in uncertain problem spaces, works with high autonomy, and finds practical ways … industrial AI.Develop new models, algorithms, evaluation methods, and system architectures. Build high-quality experimental systems and validated research prototypes. Publish at leading AI and machine learning venues and contribute to AVEVA's patent and IP portfolio. Create benchmarks, datasets, and evaluation frameworks for industrial AI.Partner with leading ...

series and multimodal data, simulation and world models, trustworthy decision-support agents and staged autonomy, and AI-native approaches to industrial data foundations, ontology learning, and evaluation. This is a hands-on role for someone who thrives in uncertain problem spaces, works with high autonomy, and finds practical ways … industrial AI.Develop new models, algorithms, evaluation methods, and system architectures. Build high-quality experimental systems and validated research prototypes. Publish at leading AI and machine learning venues and contribute to AVEVA's patent and IP portfolio. Create benchmarks, datasets, and evaluation frameworks for industrial AI.Partner with leading ...

Machine Learning Engineer £700- 750 pd via Umbrella Initially for 6 months with long term potential Mostly remote, 1 day per month in London A leading business is expanding its team and looking to bring in several Machine Learning Engineers click apply for full job details ...

drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders … drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead ...

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 with neuroscience-inspired technology to create accurate, robust and reliable AI systems. MFK Recruitment has successfully recruited four Engineers to this company over the past five years, and all four are still with the business. This speaks volumes about the company's culture, technical challenges and long-term ...

AECOM’s commitment to delivering sustainable and innovative solutions, the Senior Data Scientist will play a critical role in advancing analytics, AI/ML strategies, and IoT-driven insights to unlock measurable business value across infrastructure, environmental, and urban development sectors.Reporting to the Data Intelligence Lead, this role will focus … designing and implementing predictive and prescriptive models, driving AI/ML strategies, and collaborating with cross-functional teams to integrate data science solutions into AECOM’s operational workflows. The ideal candidate will bring expertise in advanced analytics, machine learning, and IoT technologies, with a passion for solving complex ...

AECOM’s commitment to delivering sustainable and innovative solutions, the Senior Data Scientist will play a critical role in advancing analytics, AI/ML strategies, and IoT-driven insights to unlock measurable business value across infrastructure, environmental, and urban development sectors.Reporting to the Data Intelligence Lead, this role will focus … designing and implementing predictive and prescriptive models, driving AI/ML strategies, and collaborating with cross-functional teams to integrate data science solutions into AECOM’s operational workflows. The ideal candidate will bring expertise in advanced analytics, machine learning, and IoT technologies, with a passion for solving complex ...

alongside junior and senior staff on cutting-edge research projects, building high-stakes models, and solving core AI problems at scale. Key Responsibilities Advance ML Science & Infrastructure: Carry out cutting-edge research to push the state of the art in machine learning systems, large language models (LLMs … Technical Stack: Advanced proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch . Large-Scale Models: Experience developing ML models at scale, including programmatically querying LLMs, LLM post-training, and running experiments over massive datasets. Scientific Rigor: Demonstrated ability to apply a scientific framework ...