276 to 300 of 657 Remote Machine Learning Jobs

or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of … become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example … supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill A leadership mindset focussed on growing the technical capabilities of the team; a More ❯

working with AI. You have at least 5 years of product management experience, preferably in the FinTech or B2B SaaS space with at least of 2 years focus on ML or GenAI products. You're fluent working with AI. You have a strong foundational understanding of AI concepts, machine learning workflows, and responsible AI practices. You can confidently … engineering and data teams. You're analytical & strategic thinker. You have an outstanding ability to think on your feet and tackle intellectually challenging problems, particularly within the AI/ML domain. You are highly analytical and accustomed to using complex data to make decisions. You can define a product vision that leverages AI to solve a genuine customer problem, ensuring … work Work abroad for up to 3 months a year 1 month paid sabbatical after 5 years of service Enhanced parental leave & flexible working arrangements available Training & Culture Professional learning and development budget Quarterly team socials Summer and Winter company social events 9fin is an equal opportunities employer At 9fin we are dedicated to building and promoting a fair More ❯

leadership , acting as a strategic thought partner to shape the roadmap for data-driven innovation across provider networks, claims data, and member experience Design and implement scalable, real-world machine learning systems , balancing performance, interpretability, and operational constraints in high-stakes healthcare environments Drive cross-functional initiatives , using experimentation, and advanced analytics to define success metrics and guide … decision-making Mentor and elevate the data science team , conducting code reviews, setting technical standards, and fostering a culture of curiosity, rigor, and continuous learning Translate complex healthcare data into actionable insights , integrating diverse data sources to build a comprehensive view of network behavior, risk, and opportunity Proactively surface emerging risks and opportunities , using anomaly detection, fraud analytics, and More ❯

systems. THE ROLE Develop and deploy iOS apps (Swift/Objective-C, iOS SDK, App Store). Integrate RESTful APIs and backend services into iOS applications. Embed AI/ML features (NLP, recommendation engines) into mobile workflows. Deliver compliant and secure fintech solutions (GDPR, OAuth, encryption). TECH STACK/REQUIREMENTS Experience managing projects end-to-end (greenfield exp.) Strong … expertise in iOS development (Swift/Objective-C, iOS SDK, App Store deployment) Track record delivering secure mobile applications (fintech preferred) Experience integrating AI/ML components into mobile apps Security/compliance awareness (GDPR, OAuth, encryption) Exposure to backend development (Python, Java, .NET) - desirable Familiarity with Azure/AWS cloud integration - desirable Understanding of SQL/NoSQL databases - desirable … Experience with CI/CD, Docker, Kubernetes - desirable TO BE CONSIDERED Please apply directly by emailing with your CV and availability. KEYWORDS: Contract iOS Developer, Mobile Engineer, AI/ML iOS Integration, FinTech iOS Developer, Swift Developer, Objective-C Developer, Outside IR35, Remote More ❯

systems. THE ROLE Develop and deploy iOS apps (Swift/Objective-C, iOS SDK, App Store). Integrate RESTful APIs and backend services into iOS applications. Embed AI/ML features (NLP, recommendation engines) into mobile workflows. Deliver compliant and secure fintech solutions (GDPR, OAuth, encryption). TECH STACK/REQUIREMENTS Experience managing projects end-to-end (greenfield exp.) Strong … expertise in iOS development (Swift/Objective-C, iOS SDK, App Store deployment) Track record delivering secure mobile applications (fintech preferred) Experience integrating AI/ML components into mobile apps Security/compliance awareness (GDPR, OAuth, encryption) Exposure to backend development (Python, Java, .NET) - desirable Familiarity with Azure/AWS cloud integration - desirable Understanding of SQL/NoSQL databases - desirable … Experience with CI/CD, Docker, Kubernetes - desirable TO BE CONSIDERED... Please apply directly by emailing with your CV and availability. KEYWORDS: Contract iOS Developer, Mobile Engineer, AI/ML iOS Integration, FinTech iOS Developer, Swift Developer, Objective-C Developer, Outside IR35, Remote More ❯

services. Currently undergoing a major data transformation, the company is investing heavily in digital innovation, audience intelligence, and new revenue models to drive sustainable, long-term growth. Responsibilities: Apply machine learning to explore new ways to enhance content, engagement, and user experience. Analyse user behaviour to build detailed audience segments, personas, and insights that inform content, marketing, and … insights. Requirements: BSc/MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Stakeholder management experience Please note: This role is fully remote, with travel to London/Dundee required approximately once per quarter (one day). Visa sponsorship isn More ❯

training, and innovation events. Monitor and evaluate AI adoption, efficiency gains, and business impact. Candidate Profile We are seeking an experienced AI leader with: Proven success in AI/ML product development and innovation lifecycles. Strong technical expertise in machine learning, data science, or computer science . Hands-on experience developing applications using LLMs and APIs . Familiarity More ❯

training, and innovation events. Monitor and evaluate AI adoption, efficiency gains, and business impact. Candidate Profile We are seeking an experienced AI leader with: Proven success in AI/ML product development and innovation lifecycles. Strong technical expertise in machine learning, data science, or computer science . Hands-on experience developing applications using LLMs and APIs . Familiarity More ❯

and static code analysis (e.g. SonarQube) to ensure quality It would be great if you also had experience with: Machine learning frameworks (e.g. TensorFlow, AWS/Azure ML) Cloud deployment and management (AWS, Azure) Containerisation (Docker, Kubernetes) Databases (relational, document, or graph) Configuration and deployment tools (Ansible) The package: £55,000 - £64,000 base Company bonus Pension scheme More ❯

managing stakeholders across levels and disciplines Autonomy to impact the future of a fast-growing, evolving business Experience with a range of Data Science tools (BI, experimentation, causal inference, machine learning) and languages (Python and SQL); know when to choose the right tool Experience with Marketing Mix Modeling Familiarity with marketing and advertising datasets from platforms such as … This role can be based in our London office, but distributed working within the UK is supported (with ad hoc meetings in London). Flexible working hours and a learning budget of £1,000 per year for books, training courses and conferences. And much more, see our full list of benefits here Equal opportunities Diversity and inclusion are a More ❯

Product Owner - Insurance/Reinsurance/Financial Services/Fintech (AI/ML/NLP)| Hybrid - Bristol (2-3 Days Onsite) Salary: £50,000 - £65,000 + Benefits Are you an experienced Product Owner who thrives on driving innovation in complex, data-rich environments? Want to work at the cutting edge of insurance technology with a team shaping the future … a Product Owner: At least 5 years of experience as a Product Owner or similar, ideally within the insurance or fintech sector. You must have good knowledge in AI, Machine Learning or NLP Background in computer science, data science, economics, or a related field would be preferred. Strong problem-solving, conceptual thinking, and analytical skills. Solid understanding of More ❯

coverage including unit, contract, e2e, and integration. • Version control code with git and build, test and deploy using ci/cd pipelines. • Build and test remotely on your own machine and deploy to low-level environments. • Review team members code, identifying errors and improving performance and readability. Drive code design and process trade-off discussions within team when required. … demands of scale-up stage software engineering. • You have experience optimising solution performance with a constrained set of technologies. • You have experience or are keen to engage with productionising machine learning technologies combined with large scale feature engineering. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the More ❯

month contract (extensions highly likely) £480-£520 per day Outside ir35 Remote contract We're looking for an experienced Python Engineer with a strong understanding of AI/ML/AWS, and commercial expertise in deploying AI systems using state-of-the-art machine learning libraries, cloud infrastructure, and modern Python-based tooling. What You'll Be Working … serverless architecture Essential Python Engineer skills and experience: Strong Python 3.9+ skills with deep understanding of OOP, async/await, and debugging Proven experience building and deploying AI/ML systems in the cloud ( AWS ) Solid grasp of CI/CD , infrastructure as code (CDK) , and Agile methodologies Familiarity with TDD , pair programming, and modern development practices Desirable: Advanced fine … tuning techniques (LoRA, QLoRA) RLHF, multi-modal AI, or edge deployment experience ML experiment tracking (MLflow, Weights & Biases) and A/B testing strategies If you possess the above technical skills and hands-on experience, please apply today! McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds. More ❯

tools. Ensure smooth handovers from pre-sales to implementation teams. Qualifications and Experience Bachelors or Masters degree in Computer Science, or a related field. Strong knowledge of AI and machine learning technologies related to customer experience (chatbots, NLP, sentiment analysis, etc.) Experience with Contact Centre/CX platforms and their integration with AI. Knowledge of cloud platforms (AWS More ❯

strong emphasis on uncovering customer behaviours and preferences. Embedded within a small but dynamic team that values collaboration and mentorship, you'll gain hands-on experience with Python and machine learning techniques building valuable skills while contributing to meaningful business insights. Responsibilities Assistant in Analysing large customer datasets to identify trends, patterns, and opportunities that support strategic decision More ❯

Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ More ❯

Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ More ❯

Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ More ❯

integrations from diverse sources, including POS systems, e-commerce platforms, RFID sensors, IoT devices, and CRM systems. Data optimisation: Develop and optimise data models to support reporting, analytics, and machine learning initiatives. Data Quality Assurance: Ensure data accuracy, consistency, security, and compliance with U.S. data privacy standards (CCPA, HIPAA). Monitoring & Troubleshooting: Monitor, troubleshoot, and enhance data pipelines More ❯

integrations from diverse sources, including POS systems, e-commerce platforms, RFID sensors, IoT devices, and CRM systems. Data optimisation: Develop and optimise data models to support reporting, analytics, and machine learning initiatives. Data Quality Assurance: Ensure data accuracy, consistency, security, and compliance with U.S. data privacy standards (CCPA, HIPAA). Monitoring & Troubleshooting: Monitor, troubleshoot, and enhance data pipelines More ❯

consistent data integration. Automate the API data ingestion processes to enhance data consistency and quality. AI Experience (Project-based) : Contribute to projects involving AI, including integrating generative AI or machine learning models within our data workflows. Apply AI technologies to improve data processing and provide deeper insights. SDLC Awareness : Adhere to Software Development Life Cycle (SDLC) best practices More ❯

analytics activities to customers and stakeholders. Brief customers on assessments and prepare briefings based on finished analysis, including preparing daily briefings for senior policy and operational decision makers. Develop machine learning models with attention to model accuracy. Draft technical methodologies and participate in architectural reviews. Document processes and solutions?that serve as communication findings for both technical and More ❯

transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to More ❯

re Looking For Data & Analytics Understanding: While you won’t be hands-on building solutions, you should have a strong understanding of how data platforms, analytics, and AI/ML capabilities drive business value. Familiarity with Microsoft’s Intelligent Data Platform stack (Azure Data Services, Fabric/Synapse) and Databricks is highly desirable. Business Analysis Expertise: Demonstrable experience in business More ❯

infrastructure. Excellent communication and collaboration skills in English. Massive bonus if you have: Good understanding of Event Sourcing and exposure to event-driven development. Experience in applying AI/ML to solve customer problems. About Us Ebury is a FinTech success story, positioned among the fastest-growing international companies in its sector. Founded in 2009, we are headquartered in London More ❯