151 to 175 of 1,313 Remote Machine Learning Jobs

Machine Learning Engineer (Conversational AI) Clearance: BPSS Eligible Start: ASAP Work pattern: Hybrid Work type: 12 month FTC (Competitive Salary) Amber Labs are supporting a major government programme focused on transforming public services through the use of AI and automation. This programme is shaping how people interact with digital services across departments — improving accessibility, efficiency, and user experience. … We’re looking for a Machine Learning Engineer (Conversational AI) to help design and build advanced conversational and agentic AI solutions. You’ll work with multi-disciplinary teams to deliver innovative AI-driven tools and services that make a real impact on the public sector. Key Responsibilities: Design and develop conversational AI workflows using frameworks such as LangChain … and retrieval mechanisms to enhance accuracy and context. Collaborate with data, design, and engineering teams to improve model reasoning and user experience. Skills & Experience: Strong hands-on experience deploying ML models in production environments. Excellent programming skills in Python and familiarity with ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Pandas). Practical experience with RAG or agentic AI frameworks More ❯

Machine Learning Engineer (Conversational AI) Clearance: BPSS Eligible Start: ASAP Work pattern: Hybrid Work type: 12 month FTC (Competitive Salary) Amber Labs are supporting a major government programme focused on transforming public services through the use of AI and automation. This programme is shaping how people interact with digital services across departments — improving accessibility, efficiency, and user experience. … We’re looking for a Machine Learning Engineer (Conversational AI) to help design and build advanced conversational and agentic AI solutions. You’ll work with multi-disciplinary teams to deliver innovative AI-driven tools and services that make a real impact on the public sector. Key Responsibilities: Design and develop conversational AI workflows using frameworks such as LangChain … and retrieval mechanisms to enhance accuracy and context. Collaborate with data, design, and engineering teams to improve model reasoning and user experience. Skills & Experience: Strong hands-on experience deploying ML models in production environments. Excellent programming skills in Python and familiarity with ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Pandas). Practical experience with RAG or agentic AI frameworks More ❯

Machine Learning Engineer (LLM) Transform Language Models into Real-World Applications We're building AI systems for a global audience. We are living in an era of AI transition - this new project team will be focusing on building applications to enable more real world impact and highest usage for the world. This role is a global role with … failure as part of growth - you're here to level up. Possess humility, hunger, and hustle, and lift others up as you go. Requirements Strong experience in transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation). Proficiency with PyTorch (preferred) or TensorFlow. Skilled in prompt engineering and dataset curation for alignment with tone, safety, and … structures, and clean code practices. Nice to Have Prior work in text generation, moderation, or personalization. Experience with RLHF or reinforcement learning in LLMs. Contributions to open-source ML projects. What You'll Get Flat structure & real ownership Full involvement in direction and consensus decision making Flexibility in work arrangement High-impact role with visibility across product, data, and More ❯

What You'll Be Doing: Automating Machine Learning workflows (training → deployment) with AWS & GitOps Deploying LLMs using Kubernetes & Docker Building infrastructure with Terraform & Helm Monitoring and maintaining ML models with performance alerts and dashboards Supporting CI/CD for ML pipelines Developing production-grade APIs (REST/gRPC) to serve models Collaborating with engineers, data scientists & DevOps teams … Your Experience: Industry experience in DevOps or MLOps roles (ideally in AWS environments) Hands-on with Docker, Kubernetes, and Terraform Strong scripting skills in Python or Bash Familiar with ML lifecycle tools, model monitoring, and versioning Exposure to tools like KServe, Ray Serve, Triton, or vLLM a big plus Bonus Points: Experience with observability frameworks like Prometheus or OpenTelemetry Knowledge … of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Requirements: Degree in Computer Science, Engineering, Data Science or similar What We Offer A collaborative and innovative work environment with awesome career growth opportunities 34 days holiday plus your birthday off (inclusive of bank holidays) Share options – we believe in shared success Skills development – continuous More ❯

the Role We are seeking an experienced Senior Security Consultant (AI Specialist) to lead the design, strategy, and implementation of secure architectures for AI and machine learning (ML) systems. This senior-level role sits at the intersection of cybersecurity and advanced technology, shaping enterprise security frameworks and ensuring responsible and compliant use of AI across large-scale environments. … You’ll play a strategic role in defining AI/ML security standards, performing risk assessments, and ensuring compliance with key regulations such as GDPR and the EU AI Act. As a thought leader in this space, you’ll influence enterprise-wide security architecture decisions and help guide innovation responsibly and securely. Key Responsibilities Define and deliver enterprise-level AI …/ML security strategies, policies, and standards. Architect secure AI/ML models, platforms, and pipelines, embedding security throughout the lifecycle. Lead AI risk assessments and develop mitigation frameworks for complex and emerging threats. Oversee AI security testing, adversarial validation, and ongoing risk monitoring. Ensure AI compliance with data privacy and regulatory frameworks (GDPR, EU AI Act, ISO 27001). More ❯

the Role We are seeking an experienced Senior Security Consultant (AI Specialist) to lead the design, strategy, and implementation of secure architectures for AI and machine learning (ML) systems. This senior-level role sits at the intersection of cybersecurity and advanced technology, shaping enterprise security frameworks and ensuring responsible and compliant use of AI across large-scale environments. … You’ll play a strategic role in defining AI/ML security standards, performing risk assessments, and ensuring compliance with key regulations such as GDPR and the EU AI Act. As a thought leader in this space, you’ll influence enterprise-wide security architecture decisions and help guide innovation responsibly and securely. Key Responsibilities Define and deliver enterprise-level AI …/ML security strategies, policies, and standards. Architect secure AI/ML models, platforms, and pipelines, embedding security throughout the lifecycle. Lead AI risk assessments and develop mitigation frameworks for complex and emerging threats. Oversee AI security testing, adversarial validation, and ongoing risk monitoring. Ensure AI compliance with data privacy and regulatory frameworks (GDPR, EU AI Act, ISO 27001). More ❯

the Role We are seeking an experienced Senior Security Consultant (AI Specialist) to lead the design, strategy, and implementation of secure architectures for AI and machine learning (ML) systems. This senior-level role sits at the intersection of cybersecurity and advanced technology, shaping enterprise security frameworks and ensuring responsible and compliant use of AI across large-scale environments. … You’ll play a strategic role in defining AI/ML security standards, performing risk assessments, and ensuring compliance with key regulations such as GDPR and the EU AI Act. As a thought leader in this space, you’ll influence enterprise-wide security architecture decisions and help guide innovation responsibly and securely. Key Responsibilities Define and deliver enterprise-level AI …/ML security strategies, policies, and standards. Architect secure AI/ML models, platforms, and pipelines, embedding security throughout the lifecycle. Lead AI risk assessments and develop mitigation frameworks for complex and emerging threats. Oversee AI security testing, adversarial validation, and ongoing risk monitoring. Ensure AI compliance with data privacy and regulatory frameworks (GDPR, EU AI Act, ISO 27001). More ❯

the Role We are seeking an experienced Senior Security Consultant (AI Specialist) to lead the design, strategy, and implementation of secure architectures for AI and machine learning (ML) systems. This senior-level role sits at the intersection of cybersecurity and advanced technology, shaping enterprise security frameworks and ensuring responsible and compliant use of AI across large-scale environments. … You’ll play a strategic role in defining AI/ML security standards, performing risk assessments, and ensuring compliance with key regulations such as GDPR and the EU AI Act. As a thought leader in this space, you’ll influence enterprise-wide security architecture decisions and help guide innovation responsibly and securely. Key Responsibilities Define and deliver enterprise-level AI …/ML security strategies, policies, and standards. Architect secure AI/ML models, platforms, and pipelines, embedding security throughout the lifecycle. Lead AI risk assessments and develop mitigation frameworks for complex and emerging threats. Oversee AI security testing, adversarial validation, and ongoing risk monitoring. Ensure AI compliance with data privacy and regulatory frameworks (GDPR, EU AI Act, ISO 27001). More ❯

the Role We are seeking an experienced Senior Security Consultant (AI Specialist) to lead the design, strategy, and implementation of secure architectures for AI and machine learning (ML) systems. This senior-level role sits at the intersection of cybersecurity and advanced technology, shaping enterprise security frameworks and ensuring responsible and compliant use of AI across large-scale environments. … You’ll play a strategic role in defining AI/ML security standards, performing risk assessments, and ensuring compliance with key regulations such as GDPR and the EU AI Act. As a thought leader in this space, you’ll influence enterprise-wide security architecture decisions and help guide innovation responsibly and securely. Key Responsibilities Define and deliver enterprise-level AI …/ML security strategies, policies, and standards. Architect secure AI/ML models, platforms, and pipelines, embedding security throughout the lifecycle. Lead AI risk assessments and develop mitigation frameworks for complex and emerging threats. Oversee AI security testing, adversarial validation, and ongoing risk monitoring. Ensure AI compliance with data privacy and regulatory frameworks (GDPR, EU AI Act, ISO 27001). More ❯

analyst and data science community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach and mentor … Complex problem-solving ability; structured, organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations. Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. Self-directed and independent; able to take general guidance and the overarching data strategy and identify practical steps to take. Technical … Test. Comfortable writing efficient SQL and debugging. Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with More ❯

analyst and data science community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach and mentor … Complex problem-solving ability; structured, organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations. Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. Self-directed and independent; able to take general guidance and the overarching data strategy and identify practical steps to take. Technical … Test. Comfortable writing efficient SQL and debugging. Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with More ❯

analyst and data science community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach and mentor … Complex problem-solving ability; structured, organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations. Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. Self-directed and independent; able to take general guidance and the overarching data strategy and identify practical steps to take. Technical … Test. Comfortable writing efficient SQL and debugging. Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with More ❯

analyst and data science community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach and mentor … Complex problem-solving ability; structured, organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations. Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. Self-directed and independent; able to take general guidance and the overarching data strategy and identify practical steps to take. Technical … Test. Comfortable writing efficient SQL and debugging. Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with More ❯

ML Engineer Erskine, Scotland or Newcastle, UK Location: Erskine, Scotland or Newcastle, UK Type: Full-Time Remote Work: Hybrid options available Salary: Competitive + Benefits About the Role Were seeking a passionate and skilled Machine Learning Engineer to join our growing team in the Erskine or Newcastle area. Youll play a key role in designing, developing, and deploying … scalable ML solutions across a variety of domains. This is a fantastic opportunity to work with cutting-edge technologies and contribute to impactful projects in a collaborative, innovation-driven environment. Key Responsibilities Design and implement robust machine learning models using modern frameworks and libraries. Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions. … Optimize and deploy models using tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate models into production environments. Monitor model performance and retrain as needed to ensure accuracy and efficiency. Collaborate with cross-functional teams to integrate AI solutions into More ❯

tens of millions of policies and raised over $200 million in funding. We're only just getting started. Who we're looking for We are looking for a Lead Machine Learning Engineer to play a key role in our Core Pricing team. You will drive innovation by optimising and automating pricing processes to enable faster, more accurate decision … times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with our Data Scientists, Actuaries, and Product team to deliver scalable, production-grade ML systems. Responsibilities Build model lifecycle tooling (deployment, monitoring and alerting) for our predictive models (for example claims cost, conversion, retention, market models) Maintain and improve the development environment (Kubeflow) used … and non-technical stakeholders through clear storytelling Required Skills Education: Bachelor's or Master's degree in Statistics, Data Science, Computer Science or related field Experience: Proven experience in ML model lifecycle management Core Competencies : Model lifecycle: You've got hands-on experience with managing the ML model lifecycle, including both online and batch processes Statistical Methodology: You have worked More ❯

of policies so far, and raised over $200 million in funding. And we're only just getting started. Who we're looking for We are looking for a Lead Machine Learning Engineer to play a key role in our Core Pricing team. You will drive innovation by optimising and automating Pricing processes to enable faster, more accurate decision … times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with our Data Scientists, Actuaries, and Product team to deliver scalable, production-grade ML systems. Key Responsibilities Build model lifecycle tooling (deployment, monitoring and alerting) for our predictive models (for example claims cost, conversion, retention, market models) Maintain and improve the development environment (Kubeflow … and non-technical stakeholders through clear storytelling Required Skills Education: Bachelor's or Master's degree in Statistics, Data Science, Computer Science or related field Experience: Proven experience in ML model lifecycle management Core Competencies : Model lifecycle: You've got hands-on experience with managing the ML model lifecycle, including both online and batch processes Statistical Methodology: You have worked More ❯

expand their data and analytics capabilities. You’ll play a key role in designing and delivering advanced data models, integrating new sources of information and applying modern AI and machine learning techniques to solve real-world challenges. This role is ideal for someone who thrives at the intersection of data science, analytics, and public sector transformation, helping to … Experience Proven experience in data science and analytics, ideally within government or regulated sectors. Strong proficiency in Python (and/or R) with deep understanding of statistical modelling and machine learning. Experience with Azure Machine Learning (AML), Azure Data Factory, and the broader Azure data ecosystem (Data Lake, Synapse, Analysis Services). Expertise in Natural Language Processing … . Familiarity with modern AI frameworks and open-source toolkits (Desirable). Role and Responsibilities Design and implement data models and pipelines to support advanced analytics and reporting. Apply machine learning, natural language processing (NLP) and AI models to derive meaningful insights from complex datasets. Work closely with Data Engineers, Software Developers and Analysts to build and optimise More ❯

scientific background and with 5+ years of relevant experience Strong expertise in data science, Bayesian modeling, probabilistic programming, and uncertainty quantification Hands-on experience with neural network analysis, deep learning frameworks (e.g., TensorFlow, PyTorch), and model evaluation Proficiency in Python, R, SQL, and data engineering tools such as Spark or Apache Beam and experience in designing, executing, and analyzing … inference, time series forecasting, and statistical modeling Hands-on experience with cloud computing platforms (e.g., AWS, GCP, Azure) and big data tools Knowledge in natural language processing (NLP), reinforcement learning, and graph analytics is preferable Responsibilities: Position Description As a Senior Data Scientist at Cinemo, you will drive data-driven decision-making through cross-functional collaboration on several topics. … This role requires a deep understanding of statistics, machine learning, and the ability to communicate results and insights to a range of audiences. You will play a critical role in analyzing complex datasets, developing scalable data pipelines, and applying Bayesian approaches to extract actionable insights. This role will work closely with engineers, product managers, and business leaders to More ❯

Team, working at the forefront of generative AI and its applications in life sciences. Our team is dedicated to building foundational expertise and developing the next generation of deep learning technologies. Roles are available for both recent graduates and senior profiles. Generative foundation models like ESM-3 1 , AlphaFold 2 , RFDiffusion 3 , ProteinMPNN 4 are revolutionising computational biology and … generation. Develop Biological Foundation Models Contribute to the creation of new models that push the boundaries of what's possible in computational biology. Collaborate Across Disciplines Work closely with Machine Learning Engineers, Research Engineers, Computational Biologists, and other experts. Leverage Cutting-Edge Resources Utilise our near-exascale supercomputing cluster, Kyber 9 , to conduct large-scale training and evaluation … of generative models. Publish and Present Research Share your findings at top-tier conferences and in leading journals. Responsibilities Innovate in Deep Learning Research Develop and implement novel research on multimodal generative foundation models and their biological applications. Contribute to Team Success Collaborate with team members to achieve research goals and contribute to a supportive, knowledge-sharing environment. Engage More ❯

advanced AI techniques to solve real-world public-sector challenges. This role is ideal for someone with a MSc/PhD or equivalent research and implementation experience in AI, machine learning, or related disciplines, who enjoys working across the boundaries of research, engineering, and consulting. Youll work with their consultants, engineers, and designers to prototype and deliver intelligent … learning principles (preferably with a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong … unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance More ❯

advanced AI techniques to solve real-world public-sector challenges. This role is ideal for someone with a MSc/PhD or equivalent research and implementation experience in AI, machine learning, or related disciplines, who enjoys working across the boundaries of research, engineering, and consulting. Youll work with their consultants, engineers, and designers to prototype and deliver intelligent … learning principles (preferably with a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong … unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance More ❯

advanced AI techniques to solve real-world public-sector challenges. This role is ideal for someone with a MSc/PhD or equivalent research and implementation experience in AI, machine learning, or related disciplines, who enjoys working across the boundaries of research, engineering, and consulting. You’ll work with their consultants, engineers, and designers to prototype and deliver … learning principles (preferably with a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong … unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance More ❯

advanced AI techniques to solve real-world public-sector challenges. This role is ideal for someone with a MSc/PhD or equivalent research and implementation experience in AI, machine learning, or related disciplines, who enjoys working across the boundaries of research, engineering, and consulting. You’ll work with their consultants, engineers, and designers to prototype and deliver … learning principles (preferably with a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong … unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance More ❯

for a hybrid position to be based in Central London As an AI Engineer for this startup, you will have the chance to: Work on cutting-edge AI and machine learning initiatives that directly impact business outcomes. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust AI solutions. Key Skills Proficiency … machine learning algorithms and frameworks Strong understanding of data pre-processing, feature engineering, and model evaluation Familiarity with cloud services (AWS, GCP, Azure) and their AI/ML offerings Knowledge of natural language processing (NLP) and computer vision is a plus Experience 3+ years in AI, machine learning, or data science roles. Proven track record of More ❯

selling products - we want to solve problems and change lives through Monzo ️ Our Operations Data team consists of over 40 people across 4 data disciplines: Analytics Engineering, Data Analytics, Machine Learning, and Data Science. In our Operations Collective, you'll have the opportunity to embed into an area that is the heart of how we work with our … customers' problems - delivering award winning customer support - and is full of data challenges. Data and Machine Learning supports all aspects of Operations, from workforce planning to customer support experience, to enabling teams to work effectively and efficiently. You'll work closely with the Product and Engineering in an agile product environment. You'll champion the use of data … how to build confidence with senior leaders across the business You have strong product knowledge and have built data products previously You have experience working with teams that build ML models and you understand how to build the right data set for ML models The interview process: Our interview process involves 3 main stages. We promise not to ask you More ❯