1,826 to 1,850 of 4,176 Machine Learning Jobs in England

work at the intersection of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate … with ML teams to productionize new models Manage compute scaling, security, and compliance Develop automation and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud More ❯

work at the intersection of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate … with ML teams to productionize new models Manage compute scaling, security, and compliance Develop automation and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud More ❯

work at the intersection of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate … with ML teams to productionize new models Manage compute scaling, security, and compliance Develop automation and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud More ❯

work at the intersection of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate … with ML teams to productionize new models Manage compute scaling, security, and compliance Develop automation and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud More ❯

work at the intersection of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate … with ML teams to productionize new models Manage compute scaling, security, and compliance Develop automation and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud More ❯

work at the intersection of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate … with ML teams to productionize new models Manage compute scaling, security, and compliance Develop automation and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud More ❯

work at the intersection of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate … with ML teams to productionize new models Manage compute scaling, security, and compliance Develop automation and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud More ❯

work at the intersection of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate … with ML teams to productionize new models Manage compute scaling, security, and compliance Develop automation and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud More ❯

London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are … and generative modelling, helping us build the next generation of foundation models Responsibilities: Develop and refine RLHF algorithms for large language and generative models. Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align generative outputs … on experience training/fine-tuning generative models (LLMs, diffusion, transformers, GANs). Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow). Proficiency in Python and standard ML libraries. Solid foundations in probability, optimisation, and statistics. Experience working with large-scale distributed training on GPUs/TPUs. If this sounds of interest, please reach out to daniel@microtech More ❯

London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are … and generative modelling, helping us build the next generation of foundation models Responsibilities: Develop and refine RLHF algorithms for large language and generative models. Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align generative outputs … on experience training/fine-tuning generative models (LLMs, diffusion, transformers, GANs). Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow). Proficiency in Python and standard ML libraries. Solid foundations in probability, optimisation, and statistics. Experience working with large-scale distributed training on GPUs/TPUs. If this sounds of interest, please reach out to daniel@microtech More ❯

London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are … and generative modelling, helping us build the next generation of foundation models Responsibilities: Develop and refine RLHF algorithms for large language and generative models. Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align generative outputs … on experience training/fine-tuning generative models (LLMs, diffusion, transformers, GANs). Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow). Proficiency in Python and standard ML libraries. Solid foundations in probability, optimisation, and statistics. Experience working with large-scale distributed training on GPUs/TPUs. If this sounds of interest, please reach out to daniel@microtech More ❯

sector apply cutting-edge data science in complex operational environments, balancing innovation with reliability and rigour. You’ll join a deeply technical, collaborative group working on custom AI and machine learning solutions that support automation, forecasting, and decision intelligence. The focus is on strategic value creation: solving ambiguous problems with clarity, and delivering tools that embed into the … engagements Contribute to internal capability-building by sharing knowledge, tools, and best practices within the wider team What They’re Looking For You’ve led the delivery of applied machine learning projects, ideally across commercial … or regulated sectors Strong Python skills and comfort using core libraries (e.g. NumPy, Pandas), plus familiarity with deep learning tooling like PyTorch Expertise in a wide range of ML methods, including supervised and unsupervised learning, time series, or NLP and LLM/GenAI based projects. Ability to scope and structure solutions around ambiguous business problems, turning them into More ❯

sector apply cutting-edge data science in complex operational environments, balancing innovation with reliability and rigour. You’ll join a deeply technical, collaborative group working on custom AI and machine learning solutions that support automation, forecasting, and decision intelligence. The focus is on strategic value creation: solving ambiguous problems with clarity, and delivering tools that embed into the … engagements Contribute to internal capability-building by sharing knowledge, tools, and best practices within the wider team What They’re Looking For You’ve led the delivery of applied machine learning projects, ideally across commercial … or regulated sectors Strong Python skills and comfort using core libraries (e.g. NumPy, Pandas), plus familiarity with deep learning tooling like PyTorch Expertise in a wide range of ML methods, including supervised and unsupervised learning, time series, or NLP and LLM/GenAI based projects. Ability to scope and structure solutions around ambiguous business problems, turning them into More ❯

London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are … and generative modelling, helping us build the next generation of foundation models Responsibilities: Develop and refine RLHF algorithms for large language and generative models. Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align generative outputs … on experience training/fine-tuning generative models (LLMs, diffusion, transformers, GANs). Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow). Proficiency in Python and standard ML libraries. Solid foundations in probability, optimisation, and statistics. Experience working with large-scale distributed training on GPUs/TPUs. If this sounds of interest, please reach out to daniel@microtech More ❯

London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are … and generative modelling, helping us build the next generation of foundation models Responsibilities: Develop and refine RLHF algorithms for large language and generative models. Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align generative outputs … on experience training/fine-tuning generative models (LLMs, diffusion, transformers, GANs). Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow). Proficiency in Python and standard ML libraries. Solid foundations in probability, optimisation, and statistics. Experience working with large-scale distributed training on GPUs/TPUs. If this sounds of interest, please reach out to daniel@microtech More ❯

Scientist to join a growing Data & Innovation team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to uncover powerful consumer insights. These insights will shape media, marketing, influencer, and creative strategies, helping clients capture market share and build … deeper connections with their customers. Key Responsibilities Combine and analyse large, complex datasets (structured and unstructured) to extract consumer insights. Apply Machine Learning, NLP, and Computer Vision methods to develop innovative products and solutions. Prototype and validate new technical ideas, bringing cutting-edge research into production. Work with clients to translate insights into actionable strategies that drive growth. … years’ experience working with Python for data preparation, aggregation, and transformation. Strong background in Consumer or Marketing Analytics, with passion for digital, social, and mobile media. Proven experience applying ML/statistical methodologies to large datasets (>1TB). Experience building NLP and Computer Vision products with engaged user bases. Knowledge of open-source NLP & CV libraries and ability to apply More ❯

Scientist to join a growing Data & Innovation team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to uncover powerful consumer insights. These insights will shape media, marketing, influencer, and creative strategies, helping clients capture market share and build … deeper connections with their customers. Key Responsibilities Combine and analyse large, complex datasets (structured and unstructured) to extract consumer insights. Apply Machine Learning, NLP, and Computer Vision methods to develop innovative products and solutions. Prototype and validate new technical ideas, bringing cutting-edge research into production. Work with clients to translate insights into actionable strategies that drive growth. … years’ experience working with Python for data preparation, aggregation, and transformation. Strong background in Consumer or Marketing Analytics, with passion for digital, social, and mobile media. Proven experience applying ML/statistical methodologies to large datasets (>1TB). Experience building NLP and Computer Vision products with engaged user bases. Knowledge of open-source NLP & CV libraries and ability to apply More ❯

Scientist to join a growing Data & Innovation team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to uncover powerful consumer insights. These insights will shape media, marketing, influencer, and creative strategies, helping clients capture market share and build … deeper connections with their customers. Key Responsibilities Combine and analyse large, complex datasets (structured and unstructured) to extract consumer insights. Apply Machine Learning, NLP, and Computer Vision methods to develop innovative products and solutions. Prototype and validate new technical ideas, bringing cutting-edge research into production. Work with clients to translate insights into actionable strategies that drive growth. … years’ experience working with Python for data preparation, aggregation, and transformation. Strong background in Consumer or Marketing Analytics, with passion for digital, social, and mobile media. Proven experience applying ML/statistical methodologies to large datasets (>1TB). Experience building NLP and Computer Vision products with engaged user bases. Knowledge of open-source NLP & CV libraries and ability to apply More ❯

Scientist to join a growing Data & Innovation team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to uncover powerful consumer insights. These insights will shape media, marketing, influencer, and creative strategies, helping clients capture market share and build … deeper connections with their customers. Key Responsibilities Combine and analyse large, complex datasets (structured and unstructured) to extract consumer insights. Apply Machine Learning, NLP, and Computer Vision methods to develop innovative products and solutions. Prototype and validate new technical ideas, bringing cutting-edge research into production. Work with clients to translate insights into actionable strategies that drive growth. … years’ experience working with Python for data preparation, aggregation, and transformation. Strong background in Consumer or Marketing Analytics, with passion for digital, social, and mobile media. Proven experience applying ML/statistical methodologies to large datasets (>1TB). Experience building NLP and Computer Vision products with engaged user bases. Knowledge of open-source NLP & CV libraries and ability to apply More ❯

Security Senior Manager to join their cybersecurity practice. Working across multiple sectors you'll be involved in supporting clients when it matters the most. You'll define AI/ML security strategies, architect secure AI systems, and lead enterprise security initiatives. You will be responsible for shaping proposals, supporting sales efforts, delivering client projects, leading teams, and managing cross-functional … stakeholders. Responsibilities of the AI Security Senior Manager: Lead and deliver AI/ML security projects, including architecture, risk assessments, and governance frameworks. Design and implement security architectures for AI/ML systems and pipelines. Advise clients on AI security best practices, threat mitigation, and compliance. Develop AI/ML security policies, standards, and reference architectures. Conduct threat modelling, adversarial … foster continuous learning. Experience and Skills Required of the AI Security Senior Manager: Current Security Professional Certification (CISSP, CISM required). 7+ years cybersecurity experience with proven AI/ML security expertise. Deep understanding of AI/ML concepts, algorithms, and regulations (EU AI Act, GDPR). Strong knowledge of security frameworks (NIST, ISO 27001, TOGAF, SABSA). Proven experience More ❯

Security Senior Manager to join their cybersecurity practice. Working across multiple sectors you'll be involved in supporting clients when it matters the most. You'll define AI/ML security strategies, architect secure AI systems, and lead enterprise security initiatives. You will be responsible for shaping proposals, supporting sales efforts, delivering client projects, leading teams, and managing cross-functional … stakeholders. Responsibilities of the AI Security Senior Manager: Lead and deliver AI/ML security projects, including architecture, risk assessments, and governance frameworks. Design and implement security architectures for AI/ML systems and pipelines. Advise clients on AI security best practices, threat mitigation, and compliance. Develop AI/ML security policies, standards, and reference architectures. Conduct threat modelling, adversarial … foster continuous learning. Experience and Skills Required of the AI Security Senior Manager: Current Security Professional Certification (CISSP, CISM required). 7+ years cybersecurity experience with proven AI/ML security expertise. Deep understanding of AI/ML concepts, algorithms, and regulations (EU AI Act, GDPR). Strong knowledge of security frameworks (NIST, ISO 27001, TOGAF, SABSA). Proven experience More ❯

Security Senior Manager to join their cybersecurity practice. Working across multiple sectors you'll be involved in supporting clients when it matters the most. You'll define AI/ML security strategies, architect secure AI systems, and lead enterprise security initiatives. You will be responsible for shaping proposals, supporting sales efforts, delivering client projects, leading teams, and managing cross-functional … stakeholders. Responsibilities of the AI Security Senior Manager: Lead and deliver AI/ML security projects, including architecture, risk assessments, and governance frameworks. Design and implement security architectures for AI/ML systems and pipelines. Advise clients on AI security best practices, threat mitigation, and compliance. Develop AI/ML security policies, standards, and reference architectures. Conduct threat modelling, adversarial … foster continuous learning. Experience and Skills Required of the AI Security Senior Manager: Current Security Professional Certification (CISSP, CISM required). 7+ years cybersecurity experience with proven AI/ML security expertise. Deep understanding of AI/ML concepts, algorithms, and regulations (EU AI Act, GDPR). Strong knowledge of security frameworks (NIST, ISO 27001, TOGAF, SABSA). Proven experience More ❯

Security Senior Manager to join their cybersecurity practice. Working across multiple sectors you'll be involved in supporting clients when it matters the most. You'll define AI/ML security strategies, architect secure AI systems, and lead enterprise security initiatives. You will be responsible for shaping proposals, supporting sales efforts, delivering client projects, leading teams, and managing cross-functional … stakeholders. Responsibilities of the AI Security Senior Manager: Lead and deliver AI/ML security projects, including architecture, risk assessments, and governance frameworks. Design and implement security architectures for AI/ML systems and pipelines. Advise clients on AI security best practices, threat mitigation, and compliance. Develop AI/ML security policies, standards, and reference architectures. Conduct threat modelling, adversarial … foster continuous learning. Experience and Skills Required of the AI Security Senior Manager: Current Security Professional Certification (CISSP, CISM required). 7+ years cybersecurity experience with proven AI/ML security expertise. Deep understanding of AI/ML concepts, algorithms, and regulations (EU AI Act, GDPR). Strong knowledge of security frameworks (NIST, ISO 27001, TOGAF, SABSA). Proven experience More ❯

Security Senior Manager to join their cybersecurity practice. Working across multiple sectors you'll be involved in supporting clients when it matters the most. You'll define AI/ML security strategies, architect secure AI systems, and lead enterprise security initiatives. You will be responsible for shaping proposals, supporting sales efforts, delivering client projects, leading teams, and managing cross-functional … stakeholders. Responsibilities of the AI Security Senior Manager: Lead and deliver AI/ML security projects, including architecture, risk assessments, and governance frameworks. Design and implement security architectures for AI/ML systems and pipelines. Advise clients on AI security best practices, threat mitigation, and compliance. Develop AI/ML security policies, standards, and reference architectures. Conduct threat modelling, adversarial … foster continuous learning. Experience and Skills Required of the AI Security Senior Manager: Current Security Professional Certification (CISSP, CISM required). 7+ years cybersecurity experience with proven AI/ML security expertise. Deep understanding of AI/ML concepts, algorithms, and regulations (EU AI Act, GDPR). Strong knowledge of security frameworks (NIST, ISO 27001, TOGAF, SABSA). Proven experience More ❯

Security Senior Manager to join their cybersecurity practice. Working across multiple sectors you'll be involved in supporting clients when it matters the most. You'll define AI/ML security strategies, architect secure AI systems, and lead enterprise security initiatives. You will be responsible for shaping proposals, supporting sales efforts, delivering client projects, leading teams, and managing cross-functional … stakeholders. Responsibilities of the AI Security Senior Manager: Lead and deliver AI/ML security projects, including architecture, risk assessments, and governance frameworks. Design and implement security architectures for AI/ML systems and pipelines. Advise clients on AI security best practices, threat mitigation, and compliance. Develop AI/ML security policies, standards, and reference architectures. Conduct threat modelling, adversarial … foster continuous learning. Experience and Skills Required of the AI Security Senior Manager: Current Security Professional Certification (CISSP, CISM required). 7+ years cybersecurity experience with proven AI/ML security expertise. Deep understanding of AI/ML concepts, algorithms, and regulations (EU AI Act, GDPR). Strong knowledge of security frameworks (NIST, ISO 27001, TOGAF, SABSA). Proven experience More ❯