276 to 300 of 2,554 Remote Machine Learning Jobs

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 ...

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 ...

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 ...

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 ...

remote‐sensing inputs to estimate site potential, forecast biomass and carbon trajectories, and quantify physical and permanence risk. Responsibilities Design, train and evaluate ML models – from gradient‐boosted methods to CNNs, U‐Nets and vision transformers – for commodity and plantation mapping, land‐cover classification, change and disturbance detection, and biomass … plots, and contribute to a strong research culture across Science, AI and Engineering – reviewed code, shared tooling, and active engagement with EO/ML literature. Who you are: Must‐have requirements Degree in a quantitative field: environmental/earth science, computer science, physics, maths, engineering, or similar. 3+ years ...

Machine Learning and Artificial Intelligence, key technologies for the future of computing. Arm is everywhere technology matters. Are you passionate about ML systems and keen to shape how AI runs efficiently on next generation accelerator designs? Then we should talk!We are expanding multiple teams across our ML … contributions matter and will make a difference. This role offers the opportunity to lead, challenge the status quo and ultimately change the world of ML and AI!Responsibilities:You will work on developing/designing/architecting new features, mainly in the field of ML compilation technology and framework ...

Location: UK Remote/Home Based (fully remote) Job Type: Permanent Salary: Up to £60k Industry: Education Assessing across: Data Engineer Level 5, Machine Learning Engineer Level 6, and Artificial Intelligence (AI) Data Specialist Level 7 Company: One of the UK's leading Apprenticeship Training Providers is recruiting … tools such as dbt, Databricks, Airflow, Snowflake or BigQuery. Machine learning: designing, training, deploying and monitoring models in production, Python, and the ML lifecycle including MLOps. Applied AI: modern AI and generative AI techniques, responsible AI, and evaluating AI systems. Occupational competence at or above the level ...

list a few. Role overview As a Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with … such as area or vehicle classification, as well as predictive models for other business use cases such as conversion, retention or price optimisation Prototype ML solutions before handing to the ML team for implementation Conduct more advanced yet focused research and development to solve business challenges Work collaboratively with other ...

expertise and support your growth through mentorship and mobility. Help shape how AI scales securely in a highly regulated environment.As a Full Stack Engineer - ML Platform, Applied AI in the Doc AI team within Commercial and Investment Banking, you will design and deliver production architectures for AI-powered products … machine learning systemsImplement distributed, multi-threaded, and scalable applicationsBuild, test, and deploy highly secure automated pipelines for cloud systems, desktop applications, and ML solutionsApply software engineering and computer science best practicesDevelop and deploy business-critical, data-intensive applicationsLeverage foundational libraries and services for reuse across teamsUtilize MLOps tools ...

Join a growing technology consultancy specialising in driving AI and machine learning adoption across the UK government sector. You’ll play a key role in building sophisticated software and data solutions, combining hands‐on engineering with technical leadership to help deliver secure, scalable technology with real‐world impact. … Python, TypeScript and SQL across a variety of applications and integrations. Support the delivery of technology solutions helping public‐sector organisations adopt AI and machine learning effectively. Deploy and maintain applications within cloud environments such as Azure and GCP. Use Docker and Linux to support reliable application deployments ...

apply even if you only partially fulfil the following lists. You should have: Masters degree (MSc, MEng, etc) in computer science, mathematics, artificial intelligence, machine learning, or a related engineering field 1 year of experience developing agentic AI in production ready environments 3 years of relevant hands … algorithms The ability to write clean and maintainable code in Python, Rust, C++ or Java A strong background in the mathematical foundations of core ML algorithms, paired with hands‐on experience using deep learning frameworks (PyTorch, JAX, TensorFlow), agentic orchestration ecosystems (LangGraph, Google ADK), and Model Context Protocol tooling ...

coherent representation, you will unlock the information needed to fuel our mission to solve all disease.Working in an interdisciplinary environment, you will partner with ML Research, Computational Biology, Drug Development, and Chemistry teams to drive the adoption of standardized bioinformatics primitives and best practices into their daily workflows. Your work … Develop and operate large-scale bioinformatics pipelines for high-throughput data analysis, ensuring reliable processing from raw data (e.g., FASTQ, BAM, mzXML) to ML-ready datasets.Apply bioinformatics best practices to the ingestion and harmonization of complex datasets, ensuring model training is grounded in high-quality, version-controlled biological data ...