76 to 100 of 456 Remote/Hybrid Machine Learning Jobs

reasoning agents at scale, with reliability, traceability and performance at the core. You’ll collaborate closely with other senior engineers, product leads and our ML specialists to guide technical design, improve engineering standards, and shape how our systems scale as the company grows. What you’ll do As a senior … fast-paced, collaborative startup environment Preferred requirements Experience in enterprise or regulated environments (finance, insurance, etc.) Background in deep tech or products involving proprietary ML or data systems Knowledge of security best practices for distributed systems MSc or higher degree in Computer Science, Software Engineering or a related field Familiarity ...

Intercom: AI Product Management. For over a decade, Intercom has invested in in‐house AI, with a team of machine learning scientists, ML engineers, researchers, and AI designers. Now, we’re expanding this team with product managers who will define the future of Intercom’s AI platform … high‐quality decisions and build a compelling roadmap. Work side‐by‐side with a world‐class AI team. You’ll collaborate every day with ML scientists, ML engineers, AI designers, and ML researchers. Together you’ll explore new ideas, assess feasibility, evaluate trade‐offs, and turn advanced AI capabilities into ...

Client Travel Building models is one thing. Getting them to run reliably on real hardware is where it gets interesting. You’ll take advanced ML models and make them work in constrained, real-world environments — often on edge devices where compute, power and latency are all limited. This is applied … ML engineering: Deploying models onto embedded/edge hardware Optimising inference (TensorRT, quantisation, compression) Working closely with customers to integrate into real systems The work is hands-on, varied and close to deployment — not stuck in experimentation. You’ll likely bring: Strong experience with PyTorch/TensorFlow Experience deploying models ...

Client Travel Building models is one thing. Getting them to run reliably on real hardware is where it gets interesting. You’ll take advanced ML models and make them work in constrained, real-world environments — often on edge devices where compute, power and latency are all limited. This is applied … ML engineering: Deploying models onto embedded/edge hardware Optimising inference (TensorRT, quantisation, compression) Working closely with customers to integrate into real systems The work is hands-on, varied and close to deployment — not stuck in experimentation. You’ll likely bring: Strong experience with PyTorch/TensorFlow Experience deploying models ...

Client Travel Building models is one thing. Getting them to run reliably on real hardware is where it gets interesting. You’ll take advanced ML models and make them work in constrained, real-world environments — often on edge devices where compute, power and latency are all limited. This is applied … ML engineering: Deploying models onto embedded/edge hardware Optimising inference (TensorRT, quantisation, compression) Working closely with customers to integrate into real systems The work is hands-on, varied and close to deployment — not stuck in experimentation. You’ll likely bring: Strong experience with PyTorch/TensorFlow Experience deploying models ...

Client Travel Building models is one thing. Getting them to run reliably on real hardware is where it gets interesting. You’ll take advanced ML models and make them work in constrained, real-world environments — often on edge devices where compute, power and latency are all limited. This is applied … ML engineering: Deploying models onto embedded/edge hardware Optimising inference (TensorRT, quantisation, compression) Working closely with customers to integrate into real systems The work is hands-on, varied and close to deployment — not stuck in experimentation. You’ll likely bring: Strong experience with PyTorch/TensorFlow Experience deploying models ...

Client Travel Building models is one thing. Getting them to run reliably on real hardware is where it gets interesting. You’ll take advanced ML models and make them work in constrained, real-world environments — often on edge devices where compute, power and latency are all limited. This is applied … ML engineering: Deploying models onto embedded/edge hardware Optimising inference (TensorRT, quantisation, compression) Working closely with customers to integrate into real systems The work is hands-on, varied and close to deployment — not stuck in experimentation. You’ll likely bring: Strong experience with PyTorch/TensorFlow Experience deploying models ...

collaborative Data Science team responsible for developing, optimising, and deploying models that power conversational data products. Your work will include: Building and fine-tuning machine learning and LLM-based models for real-time data interaction Designing and improving NLP and data-driven pipelines across multiple products Applying strong … learning development A solid mathematical foundation and the ability to reason about quant-style problems Experience working with NLP models, LLMs, and modern ML techniques Exposure to financial data, trading concepts, or quantitative analytics Experience with model training, fine tuning, and evaluation Familiarity with cloud deployment (AWS preferred ...

Engineer (ML, Engineer, LLM's, MCP) Location: Fully Remote, UK Salary - Highly competitive plus 15% annual bonus based on personal performance Reporting to: Chief Executive Officer Neulinx have partnered with an established global SaaS compan y to appoint an AI Engineer for a business-critical role reporting directly … more AI-driven architecture Partner closely with software engineers to help develop AI capability across the team Identify and deliver practical AI and ML use cases that create measurable business value Work directly with the CEO and senior leadership team on the company’s AI direction and implementation priorities Candidate ...

measures. Design, prototype, validate, and deliver end‐to‐end data science and AI solutions, from discovery through to production. Develop and evaluate statistical models, machine learning systems, and Generative AI solutions, including LLM‐based and RAG‐enabled approaches. Support the operationalization of models and AI solutions, including deployment … accelerators, best practices, and Insight capability development. Skills we can’t do without for the senior role: Client stakeholder engagement Applied data science expertise Machine learning and AI delivery Generative AI/LLM experience Strong Python skills and familiarity with core libraries (pandas, NumPy, scikit‐learn) Deep learning ...

with likeminded peers. As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value … your first year, you will be competent in Python programming, our tools and frameworks, and working in many of our machine learning projects. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety ...

Demand Consultant - Machine Learning Integration (BPSS) Rate: £90/hr Mostly WFH (some visits to Walton-on-Thames) Clearance: BPSS We are seeking a SAP IBP Demand Consultant to support the productionisation of a new external Python-based forecasting algorithm click apply for full job details ...

individual contribution and technical excellence, influencing the broader data science community at Faculty. What you’ll be doing: Serving as a technical authority on machine learning, Generative AI, and other advanced data science methods to deliver innovative and impactful solutions. Leading the development of shared resources, frameworks … standout examples where you’ve led the delivery of distinctive applications that have driven commercial impact. You bring broad knowledge across a range of machine learning techniques, including experience building Generative AI and agentic AI applications with Large Language Models. You have advanced coding skills in Python ...

develop AI models to optimise manufacturing processes and workflows. Collaborate with cross-functional teams to identify and solve key operational challenges using analytics. Implement machine learning algorithms and predictive analytics to improve process efficiency. Analyse large datasets to extract actionable insights and present findings to stakeholders. Monitor … processes, methodologies, and project outcomes for internal knowledge sharing. Profile A successful AI Engineer should have: Proven experience in developing and implementing AI and machine learning models. Proficiency in programming languages such as Python, R, or similar tools. Machine Vision experience is beneficial Previously worked in manufacturing ...

ahead in a fast moving market. What you'll do: Lead the development and maintenance of predictive models (GLMs) and price optimisation techniques, including machine learning algorithms (GBM), Lifetime Value models (LTV), and fair pricing principles. Provide technical leadership on WTW Radar and Emblem, driving effective and efficient … continuous improvement. What we're looking for: Previous experience in general insurance pricing. Strong technical expertise in predictive modelling techniques (e.g. GLMs and machine learning models). Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL. Good knowledge of Azure Databricks and modern data technologies. ...

ahead in a fast moving market. What you'll do: Lead the development and maintenance of predictive models (GLMs) and price optimisation techniques, including machine learning algorithms (GBM), Lifetime Value models (LTV), and fair pricing principles. Provide technical leadership on WTW Radar and Emblem, driving effective and efficient … continuous improvement. What we're looking for: Previous experience in general insurance pricing. Strong technical expertise in predictive modelling techniques (e.g. GLMs and machine learning models). Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL. Good knowledge of Azure Databricks and modern data technologies. ...

inference experiments, including randomized controlled trials, natural experiments, and quasi-experimental methods Develop and apply conformal prediction frameworks to provide reliable uncertainty estimates for machine learning models Identify and control for confounding variables in observational studies Create robust statistical methodologies for causal effect estimation Collaborate with cross-functional … Proficiency in Python or R , and relevant statistical packages Experience with causal inference frameworks (e.g., potential outcomes, causal graphs, do-calculus) Knowledge of modern machine learning techniques and their intersection with causal reasoning Excellent communication skills, with the ability to explain complex statistical concepts to non-technical audiences ...

shape the future of AI-powered solutions. As Computer Science Graduate you will be responsible for Design, develop, and implement cutting-edge AI and machine learning models. Collaborate with cross-functional teams to solve real-world problems using AI. Explore natural language processing, computer vision, and predictive analytics … Looking For Recent Computer Science (or closely related) graduates. Strong programming skills in Python, Java, or C++. Solid understanding of algorithms, data structures, and machine learning concepts. Passion for AI innovation and problem-solving. Excellent communication and teamwork skills. The Opportunity Work on high-impact AI projects across ...

join a global threat intelligence team. The position will report to the Head of Cyber Threat Intelligence and will involve applying advanced statistical analysis, machine learning, and data engineering to identify, detect, and mitigate digital threats. The ideal candidate will be aware of industry trends and frameworks … offers this role on a hybrid working basis with a non-negotiable two days per week in their London office. Responsibilities: Develop and implement machine learning models (ie anomaly detection, classification) to identify patterns indicating malicious activity, malware, or insider threats Clean normalise, and manage massive datasets from ...

technical depth. You will be part of a specialist team building novel pricing models, exploring alternative data sources, and shaping the next generation of machine learning capability within a growing challenger product area. The Company They are a major UK digital insurer with a strong reputation for data … Your Skills and Experience Strong commercial experience building predictive models in Python and SQL. Confident working with large, complex, or messy datasets. Experience applying machine learning techniques such as gradient-boosted models, with exposure to tools like XGBoost or CatBoost. Ability to form structured analytical approaches, make sensible ...

globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety ...

Collaborate across Arrows’ international network to cross-sell opportunities Experience Minimum of 2 years’ 360 recruitment experience, within emerging technologies such as data, AI, ML or datacentres Proven success recruiting for the US market (perm placements essential) Strong business development and client acquisition skills Track record of exceeding financial … performance targets Knowledge of Data, AI, ML or Cloud technologies https://careers.arrowsgroup.com/Perks and Benefits Holiday – unlimited annual leave and Christmas shutdown Wellbeing – Hybrid working, home office setup budget, private healthcare, EAP with Health Assured, subsidised gym membership High Achiever Incentives – Up to 30% commission, bonuses ...

Role: Data & ML Architect Location: Newcastle Upon Tyne Levels: Associate Manager Please Note: Due to the nature of client work you will be undertaking, you will need to be willing to go through a Security Clearance (Including BPSS) process as part of this role, which requires 5+ years UK address … cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. Role Overview As a Data & ML Architect, you will lead the design and architecture of scalable, enterprise-grade data platforms and advanced machine learning solutions. You will define ...

embedded C development experience and some embedded linux kernel configuration and development experience. Anyone with low-level driver development or video/machine learning application development would be of interest. Responsibilities include developing or modifying Linux drivers for the embedded platforms and developing Linux video and machine learning applications. Great salary, hybrid working and visa support available. Get in touch with Emma Windows at IC Resources. ...

expertise Integrate algorithms within complex Seeker models Undertake system studies and performance analysis Foster innovation, including the use of agile methods, process improvements, and machine learning/AI in our products What we're looking for from you: Essential experience: Algorithm development MATLAB Experience Identification, Planning and Running … coding (Simulink) Knowledge of RF systems and digital signal processing Experience in forming hypotheses and creating the method to prove them. Technical report writing Machine Learning and AI Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA ...