301 to 325 of 2,601 Remote/Hybrid Machine Learning Jobs

business outcomes. What we're looking for 5+ years in Data Science or Machine Learning Strong Python and SQL Experience deploying production ML models Strong grounding in statistics, probability and machine learning theory Experience working with large-scale customer datasets Background in subscription, consumer, media, gaming … largest consumer datasets Highly visible role with direct business impact Modern data environment including ClickHouse, Iceberg and Python-based ML tooling Location: London (Hybrid) #J-18808-Ljbffr ...

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 ...

prevent and treat disease. It focuses on respiratory, immunology and inflammation, oncology, HIV, and infectious diseases. Задачи: Execute and deliver full AI/ML-driven solutions from sourcing training data through model design, implementation, testing, and benchmarking; Apply machine learning and AI methods to biological networks and sequence … genomic, and single-cell experiments. Требования: Hold a Master’s degree in a related field such as computer science, mathematics, or natural sciences; Know machine learning, software engineering, and agentic development best practices; Demonstrate proficiency with standard deep learning algorithms and model architectures; Have experience with Python ...

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 ...

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 ...

recommendations, digital experiences, communications. And we aim to achieve this using our incredible data asset, our rich customer understanding, and state of the art machine learning and AI. This role will work in a team dedicated to personalising customer experiences within the Nectar loyalty programme and optimising large … environment. Solid understanding of working with production codebases, such as version control, CI/CD, and batch processing. Practical experience working on cloud-based ML platforms. Development and coaching A strong awareness and understanding of technology trends and direction in Data Science, analytics and AI. Ability to support ...

recommendations, digital experiences, communications. And we aim to achieve this using our incredible data asset, our rich customer understanding, and state of the art machine learning and AI.This role will work in a team dedicated to personalising customer experiences within the Nectar loyalty programme and optimising large-scale … corporate environment. Solid understanding of working with production codebases, such as version control, CI/CD, and batch processing.Practical experience working on cloud-based ML platforms.Development and coachingA strong awareness and understanding of technology trends and direction in Data Science, analytics and AI.Ability to support in the development, training ...

rest of the engineering team to build systems that actually translate into creative & fun games. What You’ll Do: Build, train and integrate ML models for real-time interactive experiences Develop systems and applications powered by LLMs Own projects across the ML pipeline, from experimentation through to production Optimise models … performance, latency and efficiency Work with engineering and creative teams to turn ML capabilities into compelling experiences What We’re Looking For: Strong knowledge of Python Experience writing models in PyTorch or JAX A good understanding of how large language models work Comfortable working along the whole ML pipeline: from ...

robust solutions Provide technical guidance and mentorship to junior engineers, promoting best practice across AI development Lead implementation of engineering standards across AI and ML delivery Stay current with emerging AI technologies and contribute to continuous innovation Essential Skills for the AI Engineer: Strong proficiency in Python with extensive experience … using AI, ML and NLP libraries Hands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluation Practical experience with core Generative AI frameworks and agent-based AI frameworks Strong experience with MLOps and LLMOps tooling including model lifecycle management Proven deployment experience on major ...

robust solutions Provide technical guidance and mentorship to junior engineers, promoting best practice across AI development Lead implementation of engineering standards across AI and ML delivery Stay current with emerging AI technologies and contribute to continuous innovation Essential Skills for the AI Engineer: Strong proficiency in Python with extensive experience … using AI, ML and NLP libraries Hands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluation Practical experience with core Generative AI frameworks and agent-based AI frameworks Strong experience with MLOps and LLMOps tooling including model lifecycle management Proven deployment experience on major ...

looking to make a difference in silicon. What they're looking for: First degree in relevant STEM subject 3+ years in industry building production ML systems Python + PyTorch/JAX expertise for training, inference, and model export Experience building data pipelines for complex scientific/engineering datasets Solid software … engineering fundamentals - testing, CI/CD, clean APIs End‐to‐end ML system ownership from data ingestion to model deployment Clear communication - writing specs, documenting APIs, presenting to customers Familiarity with circuit simulation or EDA tools (nice to have) C++/CUDA experience for performance‐critical components (nice to have ...

Mutable Tactics is a pioneering technology company specializing in advanced autonomy for squad robotic systems. We’re blending cutting-edge computer vision, ML, multi-agent AI and probabilistic inference techniques into autonomous UxV solutions for complex, mission-critical operations. Our team is dedicated to pushing the boundaries of robotics … Pruning, Distillation. Simulation: Gazebo, IsaacSim, UnReal Engine(AirSim), Foxglove Studio, RViz2. Programming & Tools: C++, Python, Git, Docker, CI/CD, Linux, Docker/Podman ML specific skills Stochastic processes: behavior trees, FSMs, MDPs Learning: RL, Bayesian networks (and BBP) Scripting languages: PDDL, RDDL Nice to Haves Experience with SLAM ...

governance controls to protect internal equity. Are you a software engineer with a working knowledge of Artificial Intelligence (AI) and Machine Learning (ML)? If you are interested in developing software for cutting‐edge defence and aerospace projects such as a sixth‐generation stealth fighter jet or a revolutionary … Directed Energy product, Leonardo would like to hear from you. We are seeking Senior or Principal Software Engineers with an interest in AI/ML to join our Electronics UK business. Successful candidates will contribute to the delivery of leading‐edge solutions for challenging civilian and military projects. Responsibilities Support ...

solutions that enable analytics, automation, and AI-driven business outcomes. Develop and optimise Snowflake-based data platforms to support reporting, data science, and machine learning workloads. Create automated, reliable, and observable data pipelines that meet engineering, governance, and security standards. Collaborate with stakeholders and technical teams to promote … best practices in SQL, Python, data modelling, and AI development. Drive the adoption of AI, machine learning, and generative AI technologies to deliver innovative business solutions. Continuously improve platform performance, scalability, and operational efficiency while supporting AI governance and MLOps best practices. Unfortunately we are unable to progress ...

Lead Data Scientist/Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise … derive insights from complex data, working in close collaboration with our business partners. This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways to improve ...

threats. The organisation combines cybersecurity expertise, proprietary solutions, and technology partnerships to deliver tailored security services across various sectors. The organisation is seeking an ML Research Engineer to join its Innovation & Research team and help develop AI-powered security operations capabilities. This role focuses on building and evaluating … agentic systems, improving machine learning models and workflows, analysing performance, and researching security challenges such as adversarial attacks and offers the opportunity to work on cutting-edge AI technologies, influence product development, and collaborate with researchers, engineers, and security specialists. Responsibilities Designing and building evaluation frameworks ...

Hybrid role- 3 days onsite 12 months contract Minimum Qualifications 4+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence Experience with developing machine learning models at scale, such as programmatically … involving large AI models and datasets. Preferred Qualifications Direct experience in generative AI and LLM research PhD degree or research focused Master degree in ML areas Minimum Requirement: A bachelor’s degree in computer science or a relevant technical field is required. Preferred Qualifications: A PhD or a research-focused ...

solutions that enable analytics, automation, and AI-driven business outcomes.Develop and optimise Snowflake-based data platforms to support reporting, data science, and machine learning workloads.Create automated, reliable, and observable data pipelines that meet engineering, governance, and security standards.Collaborate with stakeholders and technical teams to promote best practices … Python, data modelling, and AI development.Drive the adoption of AI, machine learning, and generative AI technologies to deliver innovative business solutions.Continuously improve platform performance, scalability, and operational efficiency while supporting AI governance and MLOps best practices.Skills we would love you to have Experience working with Snowflake, including ...

technology performance against industry leadersAI-Powered Technology Analysis & InnovationCollaborate with Technology and AI teams to develop proof of concepts using emerging AI and ML technologiesDrive innovation in technology strategy analytics: NLP for trend analysis, automated competitive intelligence, and predictive forecastingDevelop AI-powered capabilities for technology due diligence automation, market intelligence … infrastructure, cloud platforms, software architecture, and emerging technologiesProficiency in advanced analytics tools: cloud-based data science environments, big data technologies, and Gen-AI/ML platformsBenefitsCompetitive salary + Bonus25 days annual leave with the option to purchase 5 moreMatched pension contribution up to 10%Access to our car benefit schemeSubsidy ...

firm to have a dedicated AI department, which started in August 2023. Since then, we have been experimenting with a broader range of ML techniques, extending those tools already in use, and productionising new ones through our growing data science & engineering teams. We believe that we are well positioned … team and product portfolio grow. Main Responsibilities Take ownership of backend services and frontend applications that support the development, testing, deployment, and monitoring of ML‐enabled products Contribute to infrastructure and architecture decisions by developing a strong understanding of business and product need Maintain and extend existing, and build ...

performance against industry leaders AI‐Powered Technology Analysis & Innovation Collaborate with Technology and AI teams to develop proof of concepts using emerging AI and ML technologies Drive innovation in technology strategy analytics: NLP for trend analysis, automated competitive intelligence, and predictive forecasting Develop AI‐powered capabilities for technology due diligence … software architecture, and emerging technologies Highly Desirable: Proficiency in advanced analytics tools: cloud‐based data science environments, big data technologies, and Gen‐AI/ML platforms Benefits Competitive salary + Bonus 25 days annual leave with the option to purchase 5 more Matched pension contribution up to 10% Access ...