1,426 to 1,450 of 1,867 Remote Machine Learning Jobs

on projects such as: Developing ultra-low-latency trading systems capable of handling billions of requests per second Managing and processing massive data sets at multi-petabyte scale Building machine learning infrastructure and refining research models for performance and accuracy What Makes This Role Stand Out: Engineers are genuinely valued as the company’s most important asset Very More ❯

you’ll do Build responsive, high-performance web UIs that make complex scientific data explorable and engaging. Lead frontend architecture, shaping reusable component libraries and design systems. Collaborate with machine learning researchers, engineers, and biologists to translate cutting-edge science into intuitive digital tools. Push the limits of frontend performance, accessibility, and interactivity. Write and maintain comprehensive unit More ❯

you’ll do Build responsive, high-performance web UIs that make complex scientific data explorable and engaging. Lead frontend architecture, shaping reusable component libraries and design systems. Collaborate with machine learning researchers, engineers, and biologists to translate cutting-edge science into intuitive digital tools. Push the limits of frontend performance, accessibility, and interactivity. Write and maintain comprehensive unit More ❯

you’ll do Build responsive, high-performance web UIs that make complex scientific data explorable and engaging. Lead frontend architecture, shaping reusable component libraries and design systems. Collaborate with machine learning researchers, engineers, and biologists to translate cutting-edge science into intuitive digital tools. Push the limits of frontend performance, accessibility, and interactivity. Write and maintain comprehensive unit More ❯

you’ll do Build responsive, high-performance web UIs that make complex scientific data explorable and engaging. Lead frontend architecture, shaping reusable component libraries and design systems. Collaborate with machine learning researchers, engineers, and biologists to translate cutting-edge science into intuitive digital tools. Push the limits of frontend performance, accessibility, and interactivity. Write and maintain comprehensive unit More ❯

you’ll do Build responsive, high-performance web UIs that make complex scientific data explorable and engaging. Lead frontend architecture, shaping reusable component libraries and design systems. Collaborate with machine learning researchers, engineers, and biologists to translate cutting-edge science into intuitive digital tools. Push the limits of frontend performance, accessibility, and interactivity. Write and maintain comprehensive unit More ❯

become the leading travel platform globally - powering Hopper's mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique More ❯

objectdetection,imageclassification,segmentation,multi-modallearning) Fine-tune,evaluate,andproductionisemulti-modalLLMsforbusinessapplications. DriveexperimentationandprototypingofadvancedML/AItechniques Providetechnicaldirection,mentoring,andhands-onguidancetothedatascienceteam. Workwithengineering,product,andbusinessstakeholderstoalignMLstrategywithbusinessgoals. Architectandproductioniseend-to-endMLpipelinesonAzure,whileensuringscalability,reproducibility,andmonitoringofdeployedmodels. Requirements 6+yearsindatascience/ML,withatleast2yearsinatechnicalleadrole. Deepexperienceintraininganddeployingcomputervisionmodelsintoproduction ProventrackrecordwithLLMfine-tuning,promptengineeringandproductionisation DeepexperienceinMLOpsonAzure,includingCI/CD,monitoringandscalingpipelines. StrongcodingskillsinPython,withframeworkssuchasPyTorch,FastAPIandAzureCLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment More ❯

objectdetection,imageclassification,segmentation,multi-modallearning) Fine-tune,evaluate,andproductionisemulti-modalLLMsforbusinessapplications. DriveexperimentationandprototypingofadvancedML/AItechniques Providetechnicaldirection,mentoring,andhands-onguidancetothedatascienceteam. Workwithengineering,product,andbusinessstakeholderstoalignMLstrategywithbusinessgoals. Architectandproductioniseend-to-endMLpipelinesonAzure,whileensuringscalability,reproducibility,andmonitoringofdeployedmodels. Requirements 6+yearsindatascience/ML,withatleast2yearsinatechnicalleadrole. Deepexperienceintraininganddeployingcomputervisionmodelsintoproduction ProventrackrecordwithLLMfine-tuning,promptengineeringandproductionisation DeepexperienceinMLOpsonAzure,includingCI/CD,monitoringandscalingpipelines. StrongcodingskillsinPython,withframeworkssuchasPyTorch,FastAPIandAzureCLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment More ❯

teams Translate complex regulatory and user needs into impactful features 💡 What They're Looking For 5+ years in SaaS product leadership Technical fluency and comfort working with AI/ML technologies; direct experience with LLMs or intelligent systems is a strong advantage Technically fluent—not just visionary Strategic mindset with a hands-on, pragmatic approach Ability to translate complex regulatory More ❯

or fast-paced environment. Strong proficiency in React/Next.js and Python (FastAPI/Django) . Experience shipping scalable, production-grade software. Exposure to or interest in AI/ML-driven products . Startup experience or comfort with high ownership and autonomy is a massive plus . Package: £100,000 base salary + meaningful equity Hybrid (London-based team) High More ❯

or fast-paced environment. Strong proficiency in React/Next.js and Python (FastAPI/Django) . Experience shipping scalable, production-grade software. Exposure to or interest in AI/ML-driven products . Startup experience or comfort with high ownership and autonomy is a massive plus . Package: £100,000 base salary + meaningful equity Hybrid (London-based team) High More ❯

in a startup or fast-paced environment. Strong proficiency in and Python (FastAPI/Django) . Experience shipping scalable, production-grade software. Exposure to or interest in AI/ML-driven products . Startup experience or comfort with high ownership and autonomy is a massive plus . Package: £100,000 base salary + meaningful equity Hybrid (London-based team) High More ❯

or fast-paced environment. Strong proficiency in React/Next.js and Python (FastAPI/Django) . Experience shipping scalable, production-grade software. Exposure to or interest in AI/ML-driven products . Startup experience or comfort with high ownership and autonomy is a massive plus . Package: £100,000 base salary + meaningful equity Hybrid (London-based team) High More ❯

or fast-paced environment. Strong proficiency in React/Next.js and Python (FastAPI/Django) . Experience shipping scalable, production-grade software. Exposure to or interest in AI/ML-driven products . Startup experience or comfort with high ownership and autonomy is a massive plus . Package: £100,000 base salary + meaningful equity Hybrid (London-based team) High More ❯

or fast-paced environment. Strong proficiency in React/Next.js and Python (FastAPI/Django) . Experience shipping scalable, production-grade software. Exposure to or interest in AI/ML-driven products . Startup experience or comfort with high ownership and autonomy is a massive plus . Package: £100,000 base salary + meaningful equity Hybrid (London-based team) High More ❯

environments. A product mindset: you want to solve user problems, not just ship code. Frontend skills (TypeScript/React) are a bonus, but not essential. No prior AI/ML experience required — just curiosity and a willingness to work on modern, AI-first challenges. Why join Build a modern AI-first product with real customer impact. Ship fast, iterate quickly More ❯

Founding Forward-Deployed Engineer - London (6-day week) Python, TypeScript, (AI/ML) Salary up to £160k + Equity Join a high-velocity startup that's rewriting how insurance claims work - powering life's most critical moments with AI, speed and care. What you'll build Work side-by-side with top talent from places like Meta, Revolut & Scale AI More ❯

of monitoring, resilience, and security compliance Excellent documentation skills and a passion for mentoring and knowledge sharing Desirable Experience Containerisation in HPC (Singularity, Docker, Apptainer) Familiarity with AI/ML workflows, GPU-aware MPI, NVLink Experience in cloud, academic, or research environments Vendor hardware validation and data centre planning What you'll get in return Share options and long-term More ❯

Senior Data Engineer – (ML Deployment Experience Required) Location: London (Hybrid: Monday–Wednesday in office) Salary: £65,000–£75,000 DoE Job Ref: J13026 An AI-first SaaS company on a mission to help organisations unlock the full potential of their first-party data is seeking a forward-thinking Senior Data Engineer with strong deployment experience to help manage and scale … pipelines in modern cloud environments (including Azure, AWS, GCP, Snowflake or Databricks). Lead CI/CD automation, environment versioning, and production deployments for data products. Integrate AI and ML outputs into scalable, automated data workflows. Implement monitoring, alerting, and data quality frameworks that ensure reliability and trust. Mentor and guide engineers, fostering a culture of excellence, innovation, and clean … development (including Azure, AWS, GCP, Snowflake or Databricks) Strong proficiency in SQL and Python. Proven experience with CI/CD tools, DevOps, and automation practices. Experience of taking a ML Model to production. Solid understanding of data modelling, orchestration, and workflow management. A desire to lead by example and elevate the people around you. The Opportunity Shape the data backbone More ❯

Senior Data Engineer – (ML Deployment Experience Required) Location: London (Hybrid: Monday–Wednesday in office) Salary: £65,000–£75,000 DoE Job Ref: J13026 An AI-first SaaS company on a mission to help organisations unlock the full potential of their first-party data is seeking a forward-thinking Senior Data Engineer with strong deployment experience to help manage and scale … pipelines in modern cloud environments (including Azure, AWS, GCP, Snowflake or Databricks). Lead CI/CD automation, environment versioning, and production deployments for data products. Integrate AI and ML outputs into scalable, automated data workflows. Implement monitoring, alerting, and data quality frameworks that ensure reliability and trust. Mentor and guide engineers, fostering a culture of excellence, innovation, and clean … development (including Azure, AWS, GCP, Snowflake or Databricks) Strong proficiency in SQL and Python. Proven experience with CI/CD tools, DevOps, and automation practices. Experience of taking a ML Model to production. Solid understanding of data modelling, orchestration, and workflow management. A desire to lead by example and elevate the people around you. The Opportunity Shape the data backbone More ❯

Senior Data Engineer - (ML Deployment Experience Required) Location: London (Hybrid: Monday-Wednesday in office) Salary: £65,000-£75,000 DoE Job Ref: J13026 An AI-first SaaS company on a mission to help organisations unlock the full potential of their first-party data is seeking a forward-thinking Senior Data Engineer with strong deployment experience to help manage and scale … pipelines in modern cloud environments (including Azure, AWS, GCP, Snowflake or Databricks). Lead CI/CD automation, environment versioning, and production deployments for data products. Integrate AI and ML outputs into scalable, automated data workflows. Implement monitoring, alerting, and data quality frameworks that ensure reliability and trust. Mentor and guide engineers, fostering a culture of excellence, innovation, and clean … development (including Azure, AWS, GCP, Snowflake or Databricks) Strong proficiency in SQL and Python. Proven experience with CI/CD tools, DevOps, and automation practices. Experience of taking a ML Model to production. Solid understanding of data modelling, orchestration, and workflow management. A desire to lead by example and elevate the people around you. The Opportunity Shape the data backbone More ❯

Senior Data Engineer – (ML Deployment Experience Required) Location: London (Hybrid: Monday–Wednesday in office) Salary: £65,000–£75,000 DoE Job Ref: J13026 An AI-first SaaS company on a mission to help organisations unlock the full potential of their first-party data is seeking a forward-thinking Senior Data Engineer with strong deployment experience to help manage and scale … pipelines in modern cloud environments (including Azure, AWS, GCP, Snowflake or Databricks). Lead CI/CD automation, environment versioning, and production deployments for data products. Integrate AI and ML outputs into scalable, automated data workflows. Implement monitoring, alerting, and data quality frameworks that ensure reliability and trust. Mentor and guide engineers, fostering a culture of excellence, innovation, and clean … development (including Azure, AWS, GCP, Snowflake or Databricks) Strong proficiency in SQL and Python. Proven experience with CI/CD tools, DevOps, and automation practices. Experience of taking a ML Model to production. Solid understanding of data modelling, orchestration, and workflow management. A desire to lead by example and elevate the people around you. The Opportunity Shape the data backbone More ❯

Senior Data Engineer – (ML Deployment Experience Required) Location: London (Hybrid: Monday–Wednesday in office) Salary: £65,000–£75,000 DoE Job Ref: J13026 An AI-first SaaS company on a mission to help organisations unlock the full potential of their first-party data is seeking a forward-thinking Senior Data Engineer with strong deployment experience to help manage and scale … pipelines in modern cloud environments (including Azure, AWS, GCP, Snowflake or Databricks). Lead CI/CD automation, environment versioning, and production deployments for data products. Integrate AI and ML outputs into scalable, automated data workflows. Implement monitoring, alerting, and data quality frameworks that ensure reliability and trust. Mentor and guide engineers, fostering a culture of excellence, innovation, and clean … development (including Azure, AWS, GCP, Snowflake or Databricks) Strong proficiency in SQL and Python. Proven experience with CI/CD tools, DevOps, and automation practices. Experience of taking a ML Model to production. Solid understanding of data modelling, orchestration, and workflow management. A desire to lead by example and elevate the people around you. The Opportunity Shape the data backbone More ❯

Senior Data Engineer – (ML Deployment Experience Required) Location: London (Hybrid: Monday–Wednesday in office) Salary: £65,000–£75,000 DoE Job Ref: J13026 An AI-first SaaS company on a mission to help organisations unlock the full potential of their first-party data is seeking a forward-thinking Senior Data Engineer with strong deployment experience to help manage and scale … pipelines in modern cloud environments (including Azure, AWS, GCP, Snowflake or Databricks). Lead CI/CD automation, environment versioning, and production deployments for data products. Integrate AI and ML outputs into scalable, automated data workflows. Implement monitoring, alerting, and data quality frameworks that ensure reliability and trust. Mentor and guide engineers, fostering a culture of excellence, innovation, and clean … development (including Azure, AWS, GCP, Snowflake or Databricks) Strong proficiency in SQL and Python. Proven experience with CI/CD tools, DevOps, and automation practices. Experience of taking a ML Model to production. Solid understanding of data modelling, orchestration, and workflow management. A desire to lead by example and elevate the people around you. The Opportunity Shape the data backbone More ❯