301 to 325 of 2,554 Remote Machine Learning Jobs

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 ...

heart of how we make decisions and build products at Monzo. Our Data teams bring together Data Science, Analytics Engineering, Data Analytics and Machine Learning, working closely with Product, Engineering and other teams across the business. Our Data Scientists are embedded within product and business areas across Monzo … where they use experimentation, causal inference, statistical modelling, machine learning and analytics to understand our customers, identify opportunities and influence the direction of our products and strategy. As a Data Science Manager , you'll lead a team of Data Scientists and other Data professionals within one of these ...

relevance of AI-produced outputs. Compare multiple AI-generated solutions and identify the strongest response based on technical merit. Evaluate Python, SQL, analytics, machine learning, statistical, and data engineering-related content. Provide clear written feedback and justification for evaluation decisions. Identify factual inaccuracies, logical errors, coding issues … while maintaining quality and productivity expectations. Participate in onboarding and qualification activities, including an initial paid assessment. Qualifications Extensive Data Science experience in analytics, machine learning, statistical modeling, data engineering, business intelligence, artificial intelligence, or related applied disciplines. Undergraduate study does not count toward the minimum experience requirement. ...

Software Engineer to join its expanding engineering team. You'll work alongside talented Software Engineers and AI specialists to develop scalable applications powered by Machine Learning and Generative AI technologies. The business is focused on delivering practical AI solutions rather than experimental research, making this an excellent opportunity … specialise in AI development. What you'll be doing Develop production-ready AI-enabled software applications. Build and maintain backend services supporting LLM and ML functionality. Integrate OpenAI, Anthropic and other AI models into enterprise software. Create scalable APIs and microservices for intelligent applications. Work with cloud infrastructure to deploy ...

standards, and the realities of an AM/FS operating environment.This position is designed for a senior practitioner who proactively identifies opportunities where analytics, machine learning, and data capabilities can materially improve decision-making within Asset Management. The role emphasizes problem framing in complex, ambiguous situations, and applying … provide business solutions and recommendations.Ability to work effectively in a collaborative team environment. If you also had this, it would be great...Familiarity with ML Ops practices and tools for model deployment and monitoring.Familiarity with Gen AI capabilities, Observability, Gen AI type - Q/A, text summarization and text generation etc.Experience ...

understand operational challenges and translate them into scalable AI and data-driven solution architectures.Design, develop and deploy AI and Generative AI solutions, including machine learning models, data pipelines and application components that are secure, reliable and performant.Drive the operationalisation of AI solutions using modern engineering and MLOps practices … EDUCATION & EXPERIENCEDegree or equivalent experience in Computer Science, Artificial Intelligence, Data Engineering, Mathematics or a related discipline.Proven experience designing, building and deploying AI or machine learning solutions in a consulting, public sector or enterprise technology environment.Experience owning technical deliverables or workstreams, managing priorities and engaging effectively with both ...

understand operational challenges and translate them into scalable AI and data-driven solution architectures.Design, develop and deploy AI and Generative AI solutions, including machine learning models, data pipelines and application components that are secure, reliable and performant.Drive the operationalisation of AI solutions using modern engineering and MLOps practices … EDUCATION & EXPERIENCEDegree or equivalent experience in Computer Science, Artificial Intelligence, Data Engineering, Mathematics or a related discipline.Proven experience designing, building and deploying AI or machine learning solutions in a consulting, public sector or enterprise technology environment.Experience owning technical deliverables or workstreams, managing priorities and engaging effectively with both ...

understand operational challenges and translate them into scalable AI and data-driven solution architectures.Design, develop and deploy AI and Generative AI solutions, including machine learning models, data pipelines and application components that are secure, reliable and performant.Drive the operationalisation of AI solutions using modern engineering and MLOps practices … EDUCATION & EXPERIENCEDegree or equivalent experience in Computer Science, Artificial Intelligence, Data Engineering, Mathematics or a related discipline.Proven experience designing, building and deploying AI or machine learning solutions in a consulting, public sector or enterprise technology environment.Experience owning technical deliverables or workstreams, managing priorities and engaging effectively with both ...

understand operational challenges and translate them into scalable AI and data-driven solution architectures.Design, develop and deploy AI and Generative AI solutions, including machine learning models, data pipelines and application components that are secure, reliable and performant.Drive the operationalisation of AI solutions using modern engineering and MLOps practices … EDUCATION & EXPERIENCEDegree or equivalent experience in Computer Science, Artificial Intelligence, Data Engineering, Mathematics or a related discipline.Proven experience designing, building and deploying AI or machine learning solutions in a consulting, public sector or enterprise technology environment.Experience owning technical deliverables or workstreams, managing priorities and engaging effectively with both ...

Advanced Analytics & AI, you’ll combine deep technical expertise with strong stakeholder engagement skills, helping the business unlock value through advanced analytics, AI and machine learning solutions. The Role - You'll: Support the Head of Data Science, Advanced Analytics & AI in delivering the department’s strategic objectives Apply … development of data science products from POC to production , using agile, iterative and “fail fast, learn fast” approaches Design, build and deploy robust, scalable machine learning solutions using MLOps best practices Ensure all solutions comply with organisational, regulatory and legal requirements relating to data and AI Provide technical ...