176 to 200 of 1,335 Remote Machine Learning Jobs

Artificial Intelligence (AI), Internet of Things (IoT) and Big Data Analysis (BD) across all BCI projects. You will be responsible for the use of DLT/Blockchain, IoT, AI, Machine Learning, Data Science, Data Modelling and associated tooling for internal productivity, standards development, and climate action. You will perform research, onboard and train other team members, execute proof … and identify the best data sets and AI models for our use cases and objectives; Design, develop, test, and deploy applications and solutions using DLT/Blockchain, IoT, AI, Machine Learning, Data Science, Data Modelling, Quantum and associated tooling; Ensure the quality, reliability, security, and scalability of our technology products and services; Monitor and evaluate the performance and … Engineering, Information Technology, or related field; Fluent in English and a second language is desirable. Relevant Experience At least 5 years of professional experience in DLT/Blockchain, AI, Machine Learning, Data Science, Data Modelling, or a related field; Nimble business mind with a focus on developing creative solutions; Strong project management and reporting skills with a focus More ❯

management tools to uncover patterns, trends, and anomalies. Develop, track, and report on key fraud metrics, presenting findings and recommendations to senior stakeholders. Design and implement data models and machine learning scoring models to drive predictive insights and enhance fraud detection accuracy. Optimise and fine-tune Financial Crime system rule sets in line with risk appetite, balancing risk … with database platforms such as SQL Server, Oracle, SAS, or Access. Familiarity with data visualisation tools (e.g. Power BI, Tableau) for insight generation and reporting. Knowledge of AI and Machine Learning models for risk scoring and predictive analytics. Expertise with Financial Crime platforms such as ACI PRM (Proactive Risk Manager), SIRA, SONAR, ThreatMetrix, Mitek, and CIFAS. In-depth … data investigation and interpretation. Strong communication skills, capable of translating technical findings into actionable business insights. Qualifications Degree in Computer Science, Data Analytics, Mathematics MIS/CIS, AI, or Machine Learning, or equivalent experience. Recognised SQL/Database qualification (Microsoft, Oracle, or equivalent). Relevant certification in Financial Crime, Fraud, or Cybercrime is desirable. Exceptional candidates without formal More ❯

to join a leading Data and AI Team , supporting digital transformation projects across Tax and Legal. This role involves designing and developing Generative AI and Machine Learning (ML) solutions using Python and Microsoft Azure . You'll work with cross-functional teams to build intelligent, data-driven applications that solve complex business challenges and deliver measurable impact. Key … Responsibilities Design, build, and deploy Python-based AI and ML applications . Research and develop new Generative AI techniques, including fine-tuning and prompt engineering. Develop and maintain LLM-assisted frameworks and automation pipelines. Write clean, maintainable, and well-documented code for scalable deployment. Build and implement testing and evaluation frameworks for AI models. Collaborate with data scientists, software engineers … on experience using NumPy, Pandas, Scikit-learn, Langchain, LlamaIndex , and Azure AI Foundry . Proven experience working with Azure cloud services and Generative AI R&D. Strong understanding of machine learning, data modelling , and natural language processing (NLP) techniques. Experience with fine-tuning , prompt orchestration , and retrieval methods (RAG, knowledge graphs). Familiarity with frameworks such as LangGraph More ❯

team of data scientists, engineers, and strategists building scalable AI-driven products and solutions that drive measurable results for global clients. What you'll do Apply data science and machine learning techniques to real-world business problems across multiple industries. Design, build, and deploy AI models and analytical tools that deliver actionable insights. Translate complex technical concepts into … Currently pursuing a Master's or PhD in Data Science, Computer Science, Statistics, Operations Research, or a related field. Strong experience with Python and a good understanding of modern machine learning methods. Excellent analytical and problem-solving skills, with the ability to connect data-driven insights to real business value. Ability to communicate complex ideas clearly to both … technical and non-technical audiences. A collaborative mindset and passion for learning, building, and experimenting with new technologies. Interest in working in fast-paced, high-impact, client-facing environments. Why this internship Be part of a global team solving some of the most complex challenges facing businesses and society. Gain exposure to world-class AI and data science practices More ❯

enterprise brands and agencies to optimise performance, reduce costs, and gain visibility into competitor movements across paid search. Built by data scientists for marketing specialists, the product leverages advanced machine learning to deliver actionable insights and transform how businesses operate in a data-rich, fast-moving digital environment. With more than a decade of success and hundreds of … years’ experience, including at least 3 years in Data Engineering or Data Science. Proven experience managing large-scale data platforms or complex data pipelines. Deep understanding of analytics, ML workflows, and data product development. Strong grasp of tools such as Spark, Cassandra, and Redshift. Comfortable discussing technical architecture and data systems with engineers. Strong communicator with the ability to explain … complex concepts to non-technical stakeholders. Experience working within SaaS, digital, or technology-led product companies. Demonstrable product ownership mindset — not project management. Desirable: Exposure to ML or GenAI applications within data products. Experience in digital or mobile product environments. Familiarity with Miro or similar tools for visual communication. Skilled at presenting technical concepts to commercial or cross-functional teams. More ❯

partnered with an early stage high potential AI focused Tech Start-Up who aree looking for a Junior Data Scientist to join their growing team and help develop advanced machine learning models that predict and prevent equipment failures in large-scale industrial operations. This is an exciting opportunity to apply data science to real-world engineering challenges , using … innovation to heavy industry. You'd join the business at a very early stage which is uniquely positioned for rapid growth! What You'll Do Build, validate, and monitor machine learning models for anomaly detection and failure prediction. Analyze sensor data and operational logs to support predictive maintenance strategies. Develop and maintain data pipelines using tools like Apache … Bachelor's degree in Computer Science, Mathematics, Electrical Engineering, or a related field. Strong experience with Python and data science libraries (Pandas, Scikit-learn, etc.). Solid understanding of machine learning concepts and algorithms . Interest in working with real-world industrial or sensor data . Exposure to Apache Airflow and/or MLflow (through coursework or experience More ❯

Speechmatics is a cutting-edge applied AI Research company that is breaking down cultural barriers by building diverse and inclusive speech technology. We are looking for an experienced Machine Learning Engineer who can help us advance our automatic speech recognition (ASR) engines for Flow, our new Conversational AI companion and create interactive voice interfaces of the future that … of audio and billion parameter modelswhich train across dozens of GPUs. It's all about finding bottlenecks across our 50+ languages. Our main research focuses arelarge-scale self-supervised learning, building state-of-the-art speech pipelines and breaking ground on our own emotive text-to-speech (TTS) models. What you'll be doing Working with a diverse group … and started on projects in your first few days. In addition, having a very collaborative culture, you will often be pair programming with a colleague on streamlining our production ML pipelines, reviewing other folks' code and suggesting new ways to tackle a tough real time factor (RTF) optimisation problem, as well as brainstorming novel approaches for analysing model predictions with More ❯

More Inclusive At BJAK, we're using AI to make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia. As a AI/ML Software Engineer, you'll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search. This is a remote role based in … work will directly impact user experience, efficiency, and platform intelligence You'll contribute to production-grade AI systems that serve millions You'll collaborate across functions and build scalable ML tools from the ground up You'll grow quickly in a lean, high-impact engineering environment What You'll Do Work with product, data, and engineering teams to define ML … goals and technical strategies Design, build, and deploy machine learning models that power personalization, automation, and insight generation Manage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deployment Build scalable ML infrastructure and deployment pipelines Integrate ML outputs into user-facing products and backend systems Stay current with AI/ML trends and apply relevant More ❯

Bloomsbury Square, London, United Kingdom Software Engineer - AI/ML/Python (Lead Level) at N Consulting Ltd Job Title: Software Engineer - AI/ML/Python (Lead Level) Location: London, United Kingdom (Hybrid - 2-3 days onsite per week) Contract Type: Contract (6 months, with extension likely) Start Date: Immediate/Within 2-4 weeks Job Description: We are … seeking an experienced and highly motivated Lead Software Engineer with deep expertise in Artificial Intelligence (AI) , Machine Learning (ML) , and Python development to lead the design, development, and deployment of intelligent systems and data-driven applications for a leading client in London. The ideal candidate will have a strong background in AI/ML frameworks, scalable system design … and Python-based development, along with leadership experience in agile teams. Key Responsibilities: Lead the architecture and development of AI/ML solutions, ensuring scalable and efficient design. Design and implement ML models and algorithms (classification, regression, NLP, etc.) using modern frameworks. Collaborate with data scientists, engineers, and product teams to transform prototypes into production-grade applications. Optimize model performance More ❯

Title : AI/ML Engineer (Hybrid/Remote) Location : Dallas, TX Duration : 12 + Months Job Description: We are looking for a motivated AI/ML Engineer to help design, build, and deploy machine learning solutions. You will work on developing models, managing data pipelines, and integrating AI solutions into production systems on cloud platforms. This is a … hands-on role for someone with solid experience in ML and AI technologies. Key Responsibilities: Develop and implement machine learning models for business applications. Assist in building and maintaining data pipelines for model training and deployment. Work with LLMs, generative AI, or computer vision solutions. Monitor and optimize model performance and accuracy. Collaborate with data engineers, cloud architects … emerging AI technologies and recommend improvements. Required Skills: Programming: Python (TensorFlow, PyTorch, Scikit-learn, Hugging Face). Data Tools: Pandas, SQL; experience with Spark is a plus. AI/ML Knowledge: Understanding of end-to-end ML lifecycle (data preparation, training, evaluation, deployment). Cloud Platforms: Experience with AWS, Azure, or GCP for ML deployments. MLOps Tools: Familiarity with MLflow More ❯

Role: Data & ML Engineer Location: Newcastle Upon Tyne Levels: Senior Analyst, Specialist 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 history at the point of application. Hybrid Working: Please … you'll be working with 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 Engineer, you will design, build, and optimize scalable data pipelines and machine learning solutions. You’ll work with client teams to deliver intelligent data products, leveraging modern cloud … and AI technologies. Key Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion, using Azure Data Factory, GCP Dataflow and AWS services. Apply data More ❯

ML Ops Engineer Remote (Occasional London Meetups) | Full-Time, Permanent | UK Based | Cannot sponsor Specialising in Azure ML, Data Integration & Scalable ML Ops Are you an experienced ML Ops Engineer with a passion for deploying scalable machine learning solutions in Azure? This remote-first role (with occasional meetups in London) offers the opportunity to work on impactful data … collaboration, and continuous learning. Please note: We are unable to offer visa sponsorship for this role. Applicants must have the right to work in the UK. Key Responsibilities Azure ML Operations : Design, deploy, and manage ML models in production using Azure ML . Data Integration : Build and maintain data pipelines using SQL and Azure Data Factory (ADF) . ML Ops … and manage version control using Git . Cross-functional Collaboration : Work closely with actuaries, analysts, and developers to translate data science into actionable insights. Innovation & Support : Stay current with ML trends and support team learning in tools and techniques. What You'll Bring Essential Experience: Strong hands-on experience with Azure ML or Azure-based production environments. Proficiency in More ❯

AI/ML Engineer – Applied AI for Real-World Impact Location: Nottingham (Hybrid, 2 days per week) The Opportunity Join a fast-growing AI company spun out from world-class academic research and now partnering with major brands like Boots. You’ll help design, build, and scale intelligent systems that make a tangible difference across healthcare, mobility, and retail, turning … and deployment, from data pipelines and experimentation to production and monitoring, shaping how AI moves from research to real-world use. What You’ll Do Design, implement, and optimise ML models for large-scale behavioural and temporal data Build and maintain robust, cloud-based data and model pipelines Deploy, monitor, and iterate on production ML systems (forecasting, classification, behavioural modelling … AI solutions Contribute to MLOps best practices, experimentation frameworks, and model governance What You Bring Degree in Computer Science, Engineering, or related technical field 2+ years’ experience in applied ML, data engineering, or AI systems development Strong skills in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL Experience with cloud platforms and modern ML infrastructure (e.g. Databricks, MLflow, Docker More ❯

AI/ML Engineer – Applied AI for Real-World Impact Location: Nottingham (Hybrid, 2 days per week) The Opportunity Join a fast-growing AI company spun out from world-class academic research and now partnering with major brands like Boots. You’ll help design, build, and scale intelligent systems that make a tangible difference across healthcare, mobility, and retail, turning … and deployment, from data pipelines and experimentation to production and monitoring, shaping how AI moves from research to real-world use. What You’ll Do Design, implement, and optimise ML models for large-scale behavioural and temporal data Build and maintain robust, cloud-based data and model pipelines Deploy, monitor, and iterate on production ML systems (forecasting, classification, behavioural modelling … AI solutions Contribute to MLOps best practices, experimentation frameworks, and model governance What You Bring Degree in Computer Science, Engineering, or related technical field 2+ years’ experience in applied ML, data engineering, or AI systems development Strong skills in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL Experience with cloud platforms and modern ML infrastructure (e.g. Databricks, MLflow, Docker More ❯

AI/ML Engineer – Applied AI for Real-World Impact Location: Nottingham (Hybrid, 2 days per week) The Opportunity Join a fast-growing AI company spun out from world-class academic research and now partnering with major brands like Boots. You’ll help design, build, and scale intelligent systems that make a tangible difference across healthcare, mobility, and retail, turning … and deployment, from data pipelines and experimentation to production and monitoring, shaping how AI moves from research to real-world use. What You’ll Do Design, implement, and optimise ML models for large-scale behavioural and temporal data Build and maintain robust, cloud-based data and model pipelines Deploy, monitor, and iterate on production ML systems (forecasting, classification, behavioural modelling … AI solutions Contribute to MLOps best practices, experimentation frameworks, and model governance What You Bring Degree in Computer Science, Engineering, or related technical field 2+ years’ experience in applied ML, data engineering, or AI systems development Strong skills in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL Experience with cloud platforms and modern ML infrastructure (e.g. Databricks, MLflow, Docker More ❯

build, and scale AI solutions that set us apart in the industry. You'll bring deep technical expertise, a passion for innovation, and a strong product mindset to develop ML products that solve real-world problems and deliver measurable business value. Our ideal candidate is an experienced data science leader who thrives in a dynamic, fast-paced environment that combines … is Hybrid (2 days a week office attendance) What You'll Do: Shape the strategic direction and vision of Data Science across the organization by identifying transformative AI/ML opportunities and championing the team's evolving role in a rapidly advancing GenAI landscape. Lead the design and deployment of predictive and generative AI models that power personalization, pricing, search … and optimization in marketplace and fintech domains. Collaborate with product leaders to align ML initiatives with strategic business goals and drive product innovation through data-driven experimentation and modeling. Architect scalable ML infrastructure and automated workflows using cloud-native tools (e.g., AWS, EC2, Kubernetes) to support efficient model training, deployment, and analytics across diverse datasets. Ensure long-term performance and More ❯

Leveraging advanced data visualisation techniques to communicate analytical findings in a compelling and accessible way. Monitoring and fine-tuning model performance to ensure continuous accuracy and reliability. Using advanced machine learning techniques (including NLP, deep learning, and time-series forecasting) to solve complex business challenges. Contributing to the development of robust MLOps processes for deployment, monitoring, and … To be successful, you'll bring: Proven experience as a Data Scientist, ideally within customer analytics, marketing, or CRM environments. Strong coding skills in Python, with deep familiarity across ML and data libraries (pandas, numpy, scipy, scikit-learn, tensorflow, pytorch). A broad understanding of machine learning and statistical methods, including NLP, deep learning, Bayesian inference, time More ❯

Leveraging advanced data visualisation techniques to communicate analytical findings in a compelling and accessible way. Monitoring and fine-tuning model performance to ensure continuous accuracy and reliability. Using advanced machine learning techniques (including NLP, deep learning, and time-series forecasting) to solve complex business challenges. Contributing to the development of robust MLOps processes for deployment, monitoring, and … of models. About You/Qualifications Proven experience as a Data Scientist, ideally within customer analytics, marketing, or CRM environments. Strong coding skills in Python, with deep familiarity across ML and data libraries (pandas, numpy, scipy, scikit-learn, tensorflow, pytorch). A broad understanding of machine learning and statistical methods, including NLP, deep learning, Bayesian inference, time More ❯

a fast-paced, tech-driven setting? Were looking for a talented OPS Engineer to join our growing teams in Erskine or Newcastle. Key Responsibilities Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools … MLflow, Kubeflow, Azure ML Pipelines Experience working with distributed data processing using PySpark. Solid understanding of software engineering principles and version control (e.g., Git). Excellent problem-solving skills and ability to work independently or in a team. Collaborate with cross-functional teams to integrate AI solutions into scalable products Ensure best practices in data engineering and contribute to architectural … Proven experience in MLOps or DevOps roles within machine learning environments Strong programming skills in Python, with hands-on experience in PySpark and SQL Deep understanding of ML lifecycle management and CI/CD best practices Familiarity with cloud-native ML platforms and scalable deployment strategies Excellent problem-solving skills and ability to work independently or in a More ❯

into the next phase of product suite modernization by leveraging advancements in technologies such as containerization, cloud capabilities, dataflows, and Artificial Intelligence/Machine Learning (AI/ML) capabilities. The Work: We are seeking professionals interested in a variety of responsibilities including; Software development/Software engineering For a complete list that changes weekly, use this term to … of Lockheed Martin to keep the threats at bay. Cyber Lockheed Martin Who We Are: Are you driven by the excitement of harnessing the latest advancements in artificial intelligence, machine learning, and data analytics to revolutionize the way we approach complex challenges? Do you find satisfaction in developing innovative solutions that leverage the power of technology to stay More ❯

into the next phase of product suite modernization by leveraging advancements in technologies such as containerization, cloud capabilities, dataflows, and Artificial Intelligence/Machine Learning (AI/ML) capabilities. The Work: We are seeking professionals interested in a variety of responsibilities including; Software development/Software engineering For a complete list that changes weekly, use this term to … of Lockheed Martin to keep the threats at bay. Cyber Lockheed Martin Who We Are: Are you driven by the excitement of harnessing the latest advancements in artificial intelligence, machine learning, and data analytics to revolutionize the way we approach complex challenges? Do you find satisfaction in developing innovative solutions that leverage the power of technology to stay More ❯

An exciting opportunity for an experienced Senior Security Consultant with deep expertise in AI and Machine Learning (ML) Security Architecture. This role focuses on shaping and delivering secure, ethical, and compliant AI/ML strategies for a leading global technology organisation. On Offer Up to £115,000 base salary Hybrid working - Open U.K. wide £4,000 car allowance … bonus Comprehensive benefits package Career growth in a world-class technology environment Key Responsibilities Define and implement AI/ML security strategies, policies, and architectures. Design secure AI/ML models, systems, and data pipelines. Conduct AI risk assessments and develop mitigation strategies. Ensure data security, privacy, and compliance with GDPR, ISO 27001, and the EU AI Act. Lead AI …/ML security testing, audits, and adversarial assessments. Skills & Experience Extensive experience in cybersecurity, including AI/ML security architecture. Strong knowledge of AI/ML models, algorithms, and adversarial mitigation. Familiarity with frameworks: NIST, ISO 27001, TOGAF, SABSA. Certifications: CISSP or CISM. Experience with cloud security (Azure, AWS, or GCP). Excellent communication and stakeholder management skills. Eligible for More ❯

through predictive analytics and insights across all brands and channels. You'll develop recommendation systems and predictive models that support global marketing and CRM strategies. Responsibilities Lead development of machine learning solutions for CRM personalisation Build and optimise recommendation engines using neural networks and deep learning Collaborate with CRM and regional marketing teams to align with campaign … machine learning, particularly in recommendation systems and deep learning architectures Strong understanding of two-tower neural networks, embedding techniques, and ranking models Proficiency in Python and ML libraries (e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku Experience with ML Ops, including deployment, monitoring, and retraining pipelines More ❯

Manager to lead personalization efforts within their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product … embeddings and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies Own the full ML lifecycle—from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. REQURIED … learning, particularly in recommendation systems and deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining More ❯

Manager to lead personalization efforts within their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product … embeddings and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies Own the full ML lifecycle—from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. REQURIED … learning, particularly in recommendation systems and deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining More ❯