501 to 525 of 1,699 Remote Machine Learning Jobs

have: Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how More ❯

have: Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how More ❯

have: Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how More ❯

ideal candidate will bring: Proven expertise in data processing and content generation at scale, particularly within AWS environments. A track record of leading teams, influencing stakeholders, and delivering impactful ML and analytics solutions. Strong problem-solving skills, with the ability to balance hands-on technical delivery and strategic leadership. Proven ability to work across multiple projects simultaneously, adapting quickly to … s tech stack. Own the lifecycle of solutions, from problem definition through to measurement of business impact. Mentor and develop analysts and data scientists, fostering a culture of continuous learning and innovation. Education and Experience: 5+ years experience in Data Science, leading and developing new initiatives to drive transformation and/or efficiency in RegTech, FinTech, or other related … Master's degree in Data Science, Computer Science, Statistics, or a related field. Technical Skills: Hands-on proficiency with AWS cloud platform solutions and the challenges and opportunities around ML model management. Strong knowledge of SQL and database management, as well as programming languages such as Python, R, or similar. Strong experience with machine learning frameworks (e.g., TensorFlow More ❯

and AI-driven research workflows . You will play a critical role in bridging the gap between data science, bioinformatics, and engineering — ensuring seamless, secure, and reproducible deployment of ML models in production and research environments. You’ll collaborate closely with AI Scientists, Data Engineers, and DevSecOps teams , building automation pipelines that accelerate model development and deployment across distributed, cloud … AI workloads and data processing. Build and maintain feature stores, model registries, and versioning systems to ensure traceability and reproducibility. Implement data ingestion and pre-processing pipelines to support ML and bioinformatics workloads. Collaborate with security and DevSecOps teams to enforce best practices in access control, compliance, and governance . Support AI/ML researchers in model experimentation and infrastructure … optimization. Monitor model and system performance, implement drift detection, and refine automated retraining pipelines. Contribute to the development of a modular, reusable ML platform architecture supporting multi-modal data (genomic, clinical, imaging, etc.). Essential Skills and Experience Proven experience as an MLOps Engineer, Platform Engineer, or DevOps Engineer supporting ML or data science teams. Strong hands-on experience with More ❯

and AI-driven research workflows . You will play a critical role in bridging the gap between data science, bioinformatics, and engineering — ensuring seamless, secure, and reproducible deployment of ML models in production and research environments. You’ll collaborate closely with AI Scientists, Data Engineers, and DevSecOps teams , building automation pipelines that accelerate model development and deployment across distributed, cloud … AI workloads and data processing. Build and maintain feature stores, model registries, and versioning systems to ensure traceability and reproducibility. Implement data ingestion and pre-processing pipelines to support ML and bioinformatics workloads. Collaborate with security and DevSecOps teams to enforce best practices in access control, compliance, and governance . Support AI/ML researchers in model experimentation and infrastructure … optimization. Monitor model and system performance, implement drift detection, and refine automated retraining pipelines. Contribute to the development of a modular, reusable ML platform architecture supporting multi-modal data (genomic, clinical, imaging, etc.). Essential Skills and Experience Proven experience as an MLOps Engineer, Platform Engineer, or DevOps Engineer supporting ML or data science teams. Strong hands-on experience with More ❯

Empowering our circlers to become highly data fluent and confident self serve users Enhancing our world class data platform Creating data products across all domains Transforming our business with ML & AI Who are we? We're Funding Circle. We back small businesses to succeed. At Funding Circle, we believe the world needs small businesses. That's why we've made … roadmap for Funding Circle's AI platform, enabling the creation, deployment, and management of GenAI applications and agents. Architect, build, maintain cloud-based infrastructure for hosting and serving AI (ML and GenAI) models and applications. Develop and design tooling and frameworks to standardise AI development, implement systems for central discovery, monitoring, and governance of AI agents, and lead the technical … operation. Act as a subject matter expert on AI platforms and infrastructure, establish best practices, share knowledge, potentially mentor other engineers, and stay current with the latest AI/ML technologies. Proactively problem solving, identifying and confidently mitigating any risks, issues or control weaknesses that arise in your day-to-day What we're looking for Experience as an engineer More ❯

across the platform, naming conventions across data products, championing and enforcing both. Work with architects on best design for data products, evaluating and experimenting with new data tools & supporting ML & AI infrastructure and workflows What we’d love you to bring: Strategic thinker, aligning multiple workstreams to deliver a scalable, high-quality data platform. Develops the data function roadmap with More ❯

across the platform, naming conventions across data products, championing and enforcing both. Work with architects on best design for data products, evaluating and experimenting with new data tools & supporting ML & AI infrastructure and workflows What we’d love you to bring: Strategic thinker, aligning multiple workstreams to deliver a scalable, high-quality data platform. Develops the data function roadmap with More ❯

role-based access control (RBAC), integrate with SSO, and manage workspace security. Monitor and optimize performance and cost across the Databricks platform. Collaborate with teams to support data pipelines, ML workflows, and analytics use cases. Integrate Databricks with cloud storage solutions (S3, ADLS) and Delta Lake. Troubleshoot issues related to jobs, performance, or user access. Maintain platform documentation and conduct More ❯

risk, sales, marketing, and operational leaders to ensure alignment and maximise the strategic value of data across all company priorities. Culture & Excellence: Cultivate a vibrant culture of curiosity, continuous learning, and technical excellence within your team. Stay abreast of industry trends and best practices in analytics, experimentation, and behavioural science, encouraging your team to do the same. Proactively problem … team-wide projects, effectively bringing teams together to plan solutions around problems using OKRs and KPIs that deliver tangible impact. Advanced Analytics: Practical experience using and applying AI/machine learning techniques and building predictive models to generate deeper insights. At Funding Circle we are committed to building diverse teams so please apply even if your past experience … Cover, financial coaching through Octopus Money Coach, a tax-advantaged share scheme, a free mortgage advisor partnership and discounts across numerous retailers through Perks at Work. Development: Dedicated annual Learning & Development allowance and full access to internal learning platform. Lifestyle: Electric Car Scheme, Cycle to Work scheme, Season Ticket Loans, and more! And finally, we have award winning More ❯

progression as the data team expands. Hybrid working with 3 days a week in our central London office. Annual learning budget for technical training, conferences, and AI/ML development. More ❯

Product Manager Platform Intelligence, AI/ML As Product Manager for the Platform Intelligence team at Accelerant, you will define and lead the AI/ML product strategy across the Accelerant Risk Exchange platform. Youll work closely with Design, Engineering, and Decision Science to build tools that help participants across our platform make more informed decisions about selecting, pricing, and … and product thinking - and plays a critical part in enabling Accelerant to be a product-led organization. What You'll Do Strategy & Discovery Define and evolve the AI/ML strategy for our Risk Exchange platform in alignment with company objectives. Identify new ways to apply statistical and machine learning models to support risk selection, pricing, aggregation monitoring … quality, and support better decision-making. Youll Be Successful If You Have Required : At least 5 years experience as a Product Manager delivering commercial products that leverage AI/ML or advanced analytics. Background in data-rich product domains, with comfort in translating technical output into user-facing tools. Familiarity with P&C specialty insurance, especially underwriting or portfolio management. More ❯

Product Manager –Platform Intelligence, AI/ML As Product Manager for the Platform Intelligence team at Accelerant, you will define and lead the AI/ML product strategy across the Accelerant Risk Exchange platform. You’ll work closely with Design, Engineering, and Decision Science to build tools that help participants across our platform make more informed decisions about selecting, pricing … and product thinking - and plays a critical part in enabling Accelerant to be a product-led organization. What You'll Do Strategy & Discovery Define and evolve the AI/ML strategy for our Risk Exchange platform in alignment with company objectives. Identify new ways to apply statistical and machine learning models to support risk selection, pricing, aggregation monitoring … and support better decision-making. You’ll Be Successful If You Have Required : At least 5 years experience as a Product Manager delivering commercial products that leverage AI/ML or advanced analytics. Background in data-rich product domains, with comfort in translating technical output into user-facing tools. Familiarity with P&C specialty insurance, especially underwriting or portfolio management. More ❯

technical excellence, diversity of thought, and a culture of ambitious experimentation. Leveraging modern platforms, you will pioneer production-grade agentic AI and digital co-worker capabilities by harnessing advanced machine learning, natural language processing (NLP), and large language models (LLMs) to solve complex challenges and drive innovation across investment management, client servicing, fund management, and corporate operations. What … Google Gemini and the Agent Development Kit (ADK) viewed favorably Proven track record of implementing data science and AI solutions with measurable ROI Ability to articulate the value of ML and AI to senior leadership, driving organisational alignment Influential communicator who tailors content to technical and non-technical audiences; comfortable influencing cross-functional stakeholders Empathetic, collaborative leader who fosters a … including, comprehensive medical and life insurance cover Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription Access to company funded emergency and backup dependent care services Recognition and service awards Hybrid and flexible working arrangements More ❯

build tracking frameworks across teams. Partner with product, engineering, AI and data science teams to accelerate development. Work with architects to design data products, test new tools, and support ML/AI workflows. Ensure data quality, integrity and consistency across multiple sources. Thrive in a fast-paced trading environment where insight shapes strategy. Qualifications What we’d love you to … bring: Passion for using data to tell stories, make insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing More ❯

development. Subject Matter Expertise and industry knowledge of key financial crime risks, screening systems and associated data, including lists and screening platforms provided by industry vendors Experience of utilizing Machine Learning and Artificial Intelligence in financial crime scenarios. Experience with data and the ability to clearly articulate data requirements as they relate to NLS and TS. Excellent interpersonal … development to help you excel in your career Flexible working to assist you balance your personal priorities Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs We value diversity and as an equal opportunities' employer, we make reasonable adjustments More ❯

or React is preferred. Real-life experience with Continuous Delivery principles and related tools. Familiarity with containerization technologies (e.g., Docker, Kubernetes). Experience with AI models, AI prompting, or machine learning concepts. What we'll provide you By joining Citi Belfast, you will not only be part of a business casual workplace with a hybrid working model (up … annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their More ❯

can transform client delivery, knowledge management, and operational excellence across a global firm. 💡 Why this role? Work directly with data scientists and AI engineers on enterprise-scale AI and machine learning products. Build production-ready applications that leverage Generative AI and Large Language Models (LLMs) . Hybrid flexibility: 3 days per week in either London, Cambridge, or Bristol … based solutions and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. 🎯 What we’re looking for: 4+ years’ experience building enterprise-grade applications. More ❯

can transform client delivery, knowledge management, and operational excellence across a global firm. 💡 Why this role? Work directly with data scientists and AI engineers on enterprise-scale AI and machine learning products. Build production-ready applications that leverage Generative AI and Large Language Models (LLMs) . Hybrid flexibility: 3 days per week in either London, Cambridge, or Bristol … based solutions and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. 🎯 What we’re looking for: 4+ years’ experience building enterprise-grade applications. More ❯

can transform client delivery, knowledge management, and operational excellence across a global firm. 💡 Why this role? Work directly with data scientists and AI engineers on enterprise-scale AI and machine learning products. Build production-ready applications that leverage Generative AI and Large Language Models (LLMs) . Hybrid flexibility: 3 days per week in either London, Cambridge, or Bristol … based solutions and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. 🎯 What we’re looking for: 4+ years’ experience building enterprise-grade applications. More ❯

can transform client delivery, knowledge management, and operational excellence across a global firm. 💡 Why this role? Work directly with data scientists and AI engineers on enterprise-scale AI and machine learning products. Build production-ready applications that leverage Generative AI and Large Language Models (LLMs) . Hybrid flexibility: 3 days per week in either London, Cambridge, or Bristol … based solutions and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. 🎯 What we’re looking for: 4+ years’ experience building enterprise-grade applications. More ❯

Demonstrable leadership experience, with a track record of developing analysts. Strong academic background in a numerical discipline (eg BSc Mathematics, Computer Science, Data Science). Proficiency in statistical and machine learning techniques (eg logistic regression, clustering, GBMs) and the application of these in a commercial context. Advanced SQL skills with experience with Python and/or R. Solid … Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience deploying and maintaining of ML models in production environments. Exposure to A/B testing and campaign optimisation techniques. Knowledge of marketing mix modelling and marketing performance metrics. More ❯

are core to second line of defence responsibilities. Develop testing methodologies to evaluate AI systems for bias, fairness, explainability, and regulatory compliance. Conduct impact assessments for new AI/ML implementations within the firm. Develop comprehensive risk metrics that span AI, data, and cloud operations. Develop and execute testing methodologies to evaluate controls across all three domains (AI, Data, Cloud … to another. Experience with risk management & AI governance frameworks in financial services preferred. Technical Skills: Proficiency in Python and SQL for data analysis and model development. Intermediate understanding of machine learning algorithms, statistical modelling, Gen AI solution architecture. Familiarity with AWS and Snowflake environments is highly desired. The role focuses on hands-on data analysis of structured & unstructured More ❯

AI/ML Engineer Applied AI for Real-World Impact Location: Nottingham (Hybrid 2 days per week on-site) Join a fast-growing AI company spun out from world-class academic research and now partnering with leading brands like Boots . You ll design, build, and scale intelligent systems that make a real-world difference across healthcare, mobility, and retail … transforming cutting-edge machine learning into production-ready solutions that reach millions. You ll work end-to-end across the ML lifecycle, from experimentation and data pipelines to deployment and monitoring, helping shape how AI moves from research into real-world impact. Design, implement, and optimise ML models for large-scale behavioural and temporal datasets Build and maintain … robust, cloud-based data and model pipelines Deploy, monitor, and iterate on production ML systems (forecasting, classification, behavioural modelling) Collaborate with data scientists, software engineers, and product teams to deliver scalable, explainable AI solutions Work with a modern AI/ML stack (Python, SQL, Databricks, cloud-first) Bridge the gap between research and production , building AI that truly matters More ❯