51 to 75 of 379 Remote Machine Learning Jobs

keen ability to assess, analyse, and meet client-specific needs. You will play a major role in developing and implementing Machine Learning (ML) and Artificial Intelligence (AI) solutions for our clients, along with providing key advice around innovation and new techniques to stakeholders. You will be designing solutions … complex challenges and will integrate code with software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.) to tackle real world problems, applying tools and techniques, and developing novel approaches where required. Building ...

home). Travel internationally as required (incidentally, depending on project needs). Core requirements A completed degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Econometrics, or another quantitative or technical field; a Master's degree is a plus. At least 5 years of professional … ability to balance speed, scalability, cost, security, governance, reliability, and maintainability while taking ownership in complex technical environments. Experience supporting production AI or machine learning services with monitoring, versioning, lifecycle management, reproducibility, deployment traceability, lineage, drift detection, audit trails, access control, and operational controls across datasets, features, models ...

client pitch contribution, client hosting at events. Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & Development – Training to support your career development and the skills demanded within the company, accreditations, certifications etc. YOUR PROFILE We are looking for individuals … evaluation and Responsible AI AI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP) Data engineering, pipelines, modelling and governance Advanced analytics, machine learning and statistical modelling Data visualisation and insight solutions Candidates should understand the importance of trusted, accessible and AI-ready data, and be curious ...

keen ability to assess, analyse, and meet client-specific needs. You willplay a major role in developing and implementing Machine Learning (ML) and Artificial Intelligence (AI)solutions for our clients, along with providing key advice around innovation and new techniquesto stakeholders.You will be designing solutions for complex challenges … will integrate code with software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.)to tackle real world problems, applyingtools and techniques,and developing novel approaches where required. Building new relationships and maintainingcurrent ...

responsibly and at scale. Must-Have Proven Production Experience: You have lived it, breathed it. Real commercial, production experience building and deploying AI/ML/GenAI solutions. Not just POC work or an academic pathway. Hybrid Technical & Strategic Skills: Deeply technical but able to present confidently to a board. … communication style. 1-hour Technical Interview: General technical questioning. No live coding or hackathon-style tasks. Well explore your experience with AI/ML/GenAI, cloud platforms and modern engineering practices. 1-hour Functional/Competency/Values Interview: Focused on values, your ability to lead and influence ...

skills, with the confidence to demonstrate leadership when appropriate and work effectively across different stakeholder groups. Adaptability, intellectual curiosity and a genuine passion for learning, innovation and solving complex problems. Curiosity about using approved AI tools and automation to improve productivity and insight, combined with sound human judgement … escalation where needed. Bonus Points For Knowledge of technologies used within financial services, including cloud computing, AI (including Generative AI and Agentic AI), machine learning, blockchain or modern software engineering. Awareness of financial services trends such as digital banking, fintech innovation, payments, sustainability, digital assets or emerging lending ...

useful. Implement appropriate access controls, security and privacy practices to support GDPR and FCA requirements. Prepare the platform for future analytics, AI and machine learning applications. Evaluate tooling and contribute to decisions on the wider data architecture. What we’re looking for Commercial experience delivering and supporting production … financial or regulatory datasets. Streaming technologies such as Kafka and real-time data processing. Building datasets and processes for regulatory reporting. Supporting analytics or machine learning use cases. Experience working within a regulated industry. The package The role offers a £50,000–£75,000 salary, alongside a generous ...

MSSQL Kubernetes (AKS), Azure Blob, Octopus for CI/CD Extend.ai for structured PDF parsing What we're looking for 5+ years in applied ML, including experience with retrieval, embeddings, and prompt engineering Strong Python skills and familiarity with production-grade ML pipelines Experience designing and tuning RAG workflows with … hybrid search Familiarity with RLHF and fine-tuning on structured JSON output Solid grasp of system-level thinking-how to bring ML into product environments cleanly Nice to have: .NET understanding, especially for integration and orchestration layers What success looks like in 6 months You've shipped a working vector ...

looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java/Full stack/Devops and Data Science/Data Engineers/Data … analysts/BI Analysts/Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech ...

looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java/Full stack/Devops and Data Science/Data Engineers/Data … analysts/BI Analysts/Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech ...

role, you will work with extensive datasets develop models that determine odds and power in-play betting decisions while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation. … related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding ...

background, proven leadership capability and the ability to deliver innovative AI solutions at scale. About You * 10+ years' experience in Software Engineering, Data Science, Machine Learning Engineering or a related technical discipline. * 5+ years leading high-performing engineering teams. * Experience delivering enterprise software, AI or SaaS solutions into … list for this role. Keywords: Head of AI Engineering, Head of Engineering, Director of Engineering, AI Engineering, Agentic AI, AI Agents, Generative AI, LLMs, Machine Learning, Data Science, Platform Engineering, LangGraph, LangChain, Semantic Kernel, CrewAI, OpenAI Agents, Microsoft Copilot Studio, MCP, MLOps, RAG, SaaS, Cambridge. ...

Motability Operations, providing trusted data and tools that support reporting, analytics and informed decision-making. The team also enables wider Data Science, AI and Machine Learning initiatives through our Data Warehouse and Data Lake platforms. The successful candidate would be: Working in an agile scrum team to design … Experience with DBT, including building, testing and maintaining data transformation models Proficient in AI prompting to support data engineering, testing and optimisation Understanding of machine learning or data science, including python Proven experience of Oracle OAS or Power BI Experience working with customer or vehicle data ...

real-world problem solving. This is an opportunity to tackle complex, high-impact challenges for major public and private sector organisations, using mathematics, machine learning and advanced analytics to turn data into decisions that make a difference. Importantly, this is about more than delivering projects. You'll also … growth, develop new client relationships and identify fresh opportunities to bring its expertise to market. The opportunity Tackle complex client challenges using mathematical modelling, machine learning and advanced analytics. Own the full analytical lifecycle, from exploratory analysis and model development through to testing, delivery and handover. Translate business ...

hiring an AI Engineer to design and build the embedded software, data pipelines and machine learning systems behind our sensing and communications technology. You will take ideas from a clean sheet through to efficient, tested code running in live deployments. Because of the nature of our work … embedded software in C and C++ for microelectronics, sensors, and other subsystems. Implement and optimize communication protocols. Build automated CI/CD pipelines for machine learning, manage model versioning, and monitor live models for data drift and performance degradation. Develop generative AI and large language model (LLM) systems ...

teams to deliver and support secure and scalable AI solutions. Read on for more details Experience required: Practical experience building and deploying AI or machine learning solutions into production, rather than purely academic, research or proof-of-concept experience. Strong Microsoft AI technology experience, particularly Copilot Studio, Azure … Azure DevOps. Software development capability, ideally with Python; JavaScript or other development languages would be an advantage. A solid technical understanding of LLMs, NLP, machine learning fundamentals and prompt engineering. Experience designing prompts, grounding strategies and knowledge integrations to produce reliable AI responses. An ability to work with ...

across software, systems, and interfaces. Designing and testing system behaviour under degraded communications, including store-and-forward, prioritisation, and security controls. Deploying and evaluating machine learning models for edge use cases such as computer vision or signal processing, with a focus on measurable performance and operational constraints. Building … around your strengths, interests, and the needs of the business. Possible rotations include: Software Engineering: mobile applications, geospatial tools, systems integration, and test evidence. Machine Learning Engineering: deployable models for edge CV and SIGINT, with measurable performance. Systems Engineering: user need through requirements, architecture, integration, verification, and fielding. ...

systems for government and commercial clients. Our teams partner closely with customers to deliver innovative solutions across cloud strategy, cybersecurity, systems integration, data engineering, machine learning, AI, disaster recovery, and enterprise infrastructure initiatives. Our approach is built around collaboration and long-term partnership. We work closely with stakeholders … highly skilled engineers, architects, developers, and technology specialists who thrive on solving complex technical challenges. We foster a culture centered around innovation, collaboration, continuous learning, and technical excellence while delivering meaningful value to our clients across highly regulated and fast-evolving industries. Why join us? Our client offers highly ...

introduce new data sources and develop innovative modelling techniques, with genuine ownership of the end-to-end model lifecycle. KEY RESPONSIBILITIES - Develop and deploy machine learning and statistical models across credit risk, affordability and pricing. - Own the full modelling lifecycle, including data exploration, feature engineering, development, validation … into actionable business recommendations. - Work closely with Data and Risk teams to influence underwriting strategy and portfolio performance. WHAT WE'RE LOOKING FOR - Strong machine learning experience within lending, with SME lending experience essential. - Strong consumer lending and credit risk knowledge. - Excellent Python and SQL skills. - Proven experience ...

operational objectives. The Director will bring deep expertise in SAP data and analytics technologies, enterprise data management, cloud platforms, reporting architecture, AI/ML enablement, and digital innovation while driving standardization, governance, and business value realization. This position reports to the Senior Director, ERP Technology & Operations. Key Responsibilities Enterprise Data … requirements. Collaborate with Cyber Security and Enterprise Architecture teams to implement secure and compliant solutions. Innovation, AI & Continuous Improvement Identify opportunities to leverage AI, machine learning, intelligent automation, and advanced analytics. Drive innovation programs utilizing SAP Joule, Business AI, predictive analytics, and generative AI technologies. Foster a culture ...

business requirements and translate them into effective technical solutions Producing high-level solution designs and detailed technical designs Exploring opportunities to use advanced analytics, machine learning and AI to derive additional value from data Contributing to technical standards, development practices and continuous improvement across the wider data function … simply building pipelines. You’ll work across ingestion, engineering, modelling, reporting and analytics, while also having the opportunity to contribute to newer AI and machine learning initiatives. You’ll join a collaborative data team where you can take ownership of projects, influence technical approaches and help shape ...

Staff AI Engineer, you'll help drive the technical direction of a growing AI engineering capability, leading the design, development and deployment of AI, Machine Learning and Generative AI solutions. Partnering closely with business and technology stakeholders, you'll identify high-value AI use cases, rapidly prototype … ensuring solutions are scalable, secure, well-governed and aligned with responsible AI practices. Skills and Experience Strong experience designing, building and deploying AI, Machine Learning and Generative AI solutions Hands-on experience working with LLMs, AI agents and modern GenAI technologies Experience developing and deploying scalable, production-ready ...

Scientist, you'll turn complex and often loosely defined business questions into clear, actionable insight. You'll use Python, SQL, statistical methods and appropriate machine-learning techniques to understand what's happening, why it's happening and what could happen next. You'll combine analytical rigour with commercial … forecasting methods. Experience developing customer churn, lifetime value, propensity, anomaly-detection or segmentation models. Experience analysing financial, operational, customer or risk data. Experience using machine-learning techniques beyond traditional statistical analysis. Experience with Snowflake or another cloud data platform, Streamlit, and Power BI Experience in financial services ...

Surveillance Camera, Radio communication and other complex sensor solutions into our maritime domain awareness solutions Work to scope, refine and deliver data science and machine learning solutions using maritime tracking, video and other relevant data sets Develop your understanding of third-party sensor systems capabilities, interfaces and system … beneficial, but not essential for this role Product ownership experience, across networked systems, sensing technology, radio communication technology Experience working with data science and machine learning teams, ideally in surveillance, video analytics or intelligence settings You can demonstrate a good understanding of best practice in Agile software delivery ...

Data solutions, helping businesses unlock the potential of their data, improve efficiency and embrace emerging technologies. With expertise spanning artificial intelligence, machine learning, data analytics, automation and digital transformation, our client works closely with organisations to identify business challenges and deliver practical, commercially valuable solutions. As their … teams. Degree-level education. Desirable Experience Includes: Previous business development experience within IT services, data services, AI or technology consultancy. Knowledge of artificial intelligence, machine learning, automation or digital transformation. Experience using HubSpot or Mailchimp. An IT-related degree or knowledge of project management methodologies. Benefits: Uncapped bonus. ...