51 to 75 of 426 Remote/Hybrid Machine Learning Jobs

combine technical excellence with consulting impact across major clients and industries. What You'll Do Develop and deliver data science solutions using Python and machine learning (predictive, classification, forecasting, deep learning). Lead or support Generative AI/LLM projects, building or evaluating models tailored to customer … science or analytics experience (typically around 5 years). Proven track record with Generative AI and LLM-based solutions. Strong proficiency in Python and machine learning techniques. Solid knowledge of customer or marketing analytics. Background in consulting, in-house analytics, or agency environments. Excellent communication and problem-solving ...

data team. This is a hybrid role with the expectation to be in the London office 1-2 times per week. Key Responsibilities Deploy ML models as real-time endpoints using Amazon SageMaker * Build and manage batch inference pipelines * Implement CI/CD workflows for ML using Git-based processes … Stack Amazon SageMaker | Amazon S3 | Amazon Redshift | AWS Lambda | Amazon CloudWatch | AWS IAM What We're Looking For Strong hands-on experience with AWS ML infrastructure Experience deploying and monitoring ML models in production Proficiency in Python and SQL Knowledge of Docker and CI/CD pipelines Experience with Infrastructure ...

analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python … Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models ...

checked): 2–4 years of hands-on experience in data science, machine learning, or applied statistics. Strong Python skills with experience in ML frameworks such as scikit-learn, PyTorch, TensorFlow, or similar. Solid grounding in statistics — hypothesis testing, regression, correlation analysis, and experimental design. Experience with … company works heavily with survey data and measurement validation. Spark, Databricks, or distributed computing experience. Published research or an academic background in statistics, ML, or a quantitative field. What's on Offer Salary of £45,000–£60,000 depending on experience, with bi-annual salary reviews. Remote-first, flexible working ...

About the Role We are seeking a highly skilled Data Scientist IV to develop innovative solutions through advanced exploratory data analysis, statistical modelling, and machine learning. This role is suited to someone who excels in solving complex analytical problems, working with large-scale datasets, and collaborating with engineering teams … regions and contribute to the development of data-driven features, predictive models, and business insights that drive product improvement. Key Responsibilities: Advanced Analytics & Machine Learning Apply expertise in statistics, machine learning, programming, data modelling, simulation, and advanced mathematics to identify patterns, opportunities, and business questions. Design ...

reliably extract event metrics from raw wifi data. With the latest generation of our solution, we are seeking an experienced data scientist or applied ML engineer to further build upon this work. This is a well-scoped project with clear deliverables for a skilled contractor to deliver. Role Overview … seeking an experienced and highly skilled Data Scientist/Applied ML Engineer to lead the implementation and experimentation work for Meshh’s Wi-Fi analytics project. This is not a greenfield build - you will inherit a working ML pipeline and evaluation system and be expected to understand it quickly, identify ...

gain hands-on experience working on real client projects, learning how data-driven and AI-enabled solutions are designed and delivered. This role offers a unique opportunity to develop consulting and technical skills, while being supported by experienced professionals who'll guide you through challenges and help you grow. … future career in tech consulting. Responsibilities: Support the development and delivery of data and AI solutions, gaining hands-on experience with technologies such as machine learning, data science, and Agentic AI under the guidance of experienced team members Collaborate with project teams and clients to understand business challenges ...

Senior Machine Learning Engineer - Agentic AI Platform Location: Central Cambridge (Hybrid) | Permanent | In partnership with Robert Half The Opportunity Join a global SaaS company building a cutting-edge multi-agent AI platform for enterprise data. This hands-on role focuses on scaling, hardening, and refining a graph-based ...

solving skills to collaborate effectively with cross-functional teams. Awareness of security principles and best practices to ensure secure data solutions. Commitment to continuous learning and staying current with Azure, Databricks and data engineering trends. Strong experience working within an agile development methodology, ideally Scaled Agile (SAFe or similar … technical/scientific subject (or equivalent experience). Microsoft Azure Data Engineer or Solutions Architect certification (desirable). Databricks Certified Data Engineer or Machine Learning Associate (desirable). Experience with streaming solutions (Kafka, Event Hubs, Spark Streaming) (desirable). Knowledge of machine learning ...

Aufgaben Define and lead data strategy initiatives, aligning data collection and preparation with organizational goals. Drive the development, validation and deployment of advanced machine learning and statistical models. Provide strategic guidance by translating complex data insights into impactful business recommendations. Oversee the integration of predictive models into scalable … least 5 years of relevant professional experience in the field of Data Science or Data Enginnering. Proficiency in programming languages (Python, R, SQL) and machine learning frameworks (e.g., TensorFlow, PyTorch). Experience with data visualization tools and techniques to present actionable insights. Strong analytical skills. Methodical, structured ...

GenAI projects, moving from initial concept to full-scale production. Partner with Data Science Experts. Act as the bridge between technical experts (Data Scientists, ML Engineers) and business or Product stakeholders to ensure our models solve real user problems. Balance delivery. Manage the day-to-day delivery of AI products … Learning. Skills: Technical literacy. A strong grasp of AI fundamentals, including an understanding of when to use Large Language Models (LLMs) versus traditional ML methodologies (like classification or regression models). Data-driven mindset. Comfort working with complex datasets and the ability to define and track the right KPIs ...

GenAI projects, moving from initial concept to full-scale production. Partner with Data Science Experts. Act as the bridge between technical experts (Data Scientists, ML Engineers) and business or Product stakeholders to ensure our models solve real user problems. Balance delivery. Manage the day-to-day delivery of AI products … Learning. Skills: Technical literacy. A strong grasp of AI fundamentals, including an understanding of when to use Large Language Models (LLMs) versus traditional ML methodologies (like classification or regression models). Data-driven mindset. Comfort working with complex datasets and the ability to define and track the right KPIs ...

Model Context Protocols, A2A Protocols, Agent Developeer Kit and working experience with LLMs Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine Learning deployments on AWS, Azure or GCP Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e. ...

Model Context Protocols, A2A Protocols, Agent Developeer Kit and working experience with LLMs Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine Learning deployments on AWS, Azure or GCP Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e. ...

Planning and Analysis Network (ISPAN) Mission Planning and Application System (MPAS) systems. Responsibilities will include development, design, and technical leadership for Artificial Intelligence and Machine Learning systems, model creation, data science/analytics, and interaction with systems engineers, architects, scrum masters, product owners, and end users to deliver … Citizen; this position will require a government security clearance. This position is located at a facility that requires special access • Experience with AI/ML: disciplines, domain programming languages (including Python), models, frameworks, and toolsets. • Experience analyzing domain problems and selecting and designing AI solutions. Desired Skills: • DevOps experience including ...

optimise network control processes. Utilise AWS Bedrock, AWS Quicksuite, and AWS SageMaker, AWS Quicksuite and AWS Connect to build, deploy, and maintain scalable machine learning and automation pipelines. Collaborate with cross-functional teams, including operations, data science, and Product, to define requirements and deliver robust solutions. Monitor, troubleshoot … Quicksuite, and AWS SageMaker. Strong programming skills in Python, Java, or similar languages commonly used for AI and automation. Experience in designing and operationalising machine learning models in a production environment. Excellent problem-solving skills and the ability to work collaboratively in a fast-paced setting. Strong communication ...

aircraft moving efficiently in one of the most operationally complex industries in the world. What You’ll Do Build and deploy applied statistics, machine learning and optimisation models that support mission‐critical operational decisions. Work closely with data engineers, understanding their workflows and collaborating to take models from … exposure to integer programming, MIP, MILP , and applied optimisation. Experience with optimisation tools such as CPLEX, MATLAB, OR‐Tools , or similar. Some exposure to machine learning methods. Ability to build and industrialise Python‐based data products. Exceptional communication and storytelling abilities—able to interrogate both data and stakeholders ...

aircraft moving efficiently in one of the most operationally complex industries in the world. What You'll Do Build and deploy applied statistics, machine learning and optimisation models that support mission-critical operational decisions. Work closely with data engineers, understanding their workflows and collaborating to take models from … exposure to integer programming, MIP, MILP, and applied optimisation. Experience with optimisation tools such as CPLEX, MATLAB, OR-Tools, or similar. Some exposure to machine learning methods. Ability to build and industrialise Python-based data products. Exceptional communication and storytelling abilities-able to interrogate both data and stakeholders. ...

clearance Location: Hybrid - primarily remote with occasional onsite work in the South West (exact location disclosed confidentially) Key Responsibilities: Design and implement AI/ML solutions on Google Cloud Platform Build and deploy models using Vertex AI Develop machine learning pipelines and production AI services Integrate AI models … solutions comply with security and public sector requirements Required Skills & Experience: Strong commercial experience with Google Cloud Platform (GCP) Proven experience delivering AI/Machine Learning solutions Hands-on experience with Vertex AI Experience working in agile delivery teams Desirable Skills: Google Cloud certifications Experience working in government ...

helping to define the future direction of AI capability within the organisation. Responsibilities Lead the design and delivery of AI-enabled solutions, including traditional machine learning, generative AI and advanced analytics Manage end-to-end project lifecycles, including scoping, planning, timelines, budgets and stakeholder communication Collaborate with clients … shape AI opportunities, contributing to go-to-market initiatives, proposals and client bids Skills and Experience Extensive experience delivering production-grade AI and machine learning solutions at scale Strong understanding of generative AI technologies and their practical applications Deep Insurance sector experience Strong project management capability, including managing ...

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 ...

helping to define the future direction of AI capability within the organisation. Responsibilities Lead the design and delivery of AI-enabled solutions, including traditional machine learning, generative AI and advanced analytics Manage end-to-end project lifecycles, including scoping, planning, timelines, budgets and stakeholder communication Collaborate with clients … shape AI opportunities, contributing to go-to-market initiatives, proposals and client bids Skills and Experience Extensive experience delivering production-grade AI and machine learning solutions at scale Strong understanding of generative AI technologies and their practical applications Deep Insurance sector experience Strong project management capability, including managing ...

Head of Engineering - Remote - UK - £90,000-£130,000 GenAI, ML, Spark Why Join This Company? This is a leadership role for someone who wants to work in a truly AI-first engineering environment, not a business experimenting at the edges. The company is already well ahead of the curve … working. You'll Work With Cross-functional teams spanning: Web Engineering (React/TypeScript) Data Engineering (distributed systems, Spark-based platforms) Data Science & Machine Learning A highly technical CTO who is deeply invested in AI adoption and modern engineering Product leadership following significant recent evolution and change ...

Institute builds and expands upon a variety of methods, from strategies for sequence and image analysis through to high-dimensional statistical models, machine learning and artificial intelligence. Computational methods developed by groups based at EMBL-EBI are amongst the most widely used by the scientific community, providing … advances. You have an excellent research record in computational biology and a PhD in a relevant field. Alternatively, you have a track-record in machine learning and AI, and interest in applying these to biological questions. A strong interest in interdisciplinary collaboration is essential, and well want ...

modernisation, and cloud-native solutions Assist with the design and development of data platforms and analytics solutions Contribute to the implementation of AI or machine learning solutions where appropriate Develop and maintain infrastructure using Infrastructure-as-Code tools such as Terraform Support the creation of technical documentation including … within project teams Good communication skills and an interest in developing a client-facing consulting career Desirable Experience with data engineering, analytics platforms, or machine learning technologies Exposure to cloud migration or modernisation programmes Knowledge of security or compliance practices within cloud environments Relevant certifications such as Google ...