51 to 69 of 69 Deep Learning Jobs in the North West

Employment Type: Full-time and Permanent Remuneration (UK – Remote): £59.5–76.5k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and the UK … including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking … stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more More ❯

Employment Type: Full-time and Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and the UK … including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking … stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more More ❯

Employment Type: Full-time and Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and the UK … including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking … stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more More ❯

Employment Type: Full-time and Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and the UK … including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking … stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more More ❯

Employment Type: Full-time and Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and the UK … including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking … stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more More ❯

Employment Type: Full-time and Permanent Remuneration (UK – Remote): £59.5–76.5k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and the UK … including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking … stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more More ❯

Employment Type: Full-time and Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and the UK … including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking … stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more More ❯

role Nice to have skills, but optional: Knowledge of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent and internal … reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical models (eg GBMs, GLMs, clustering techniques, etc) Familiarity with UK open source data and datasets valuable to personal lines insurance pricing More ❯

subsequent event or alert would be triggered. We have dedicated people in the team that would develop any ML models that are required , so an expert level of Machine Learning is not essential, but a good understanding of what a model does, and how to run inference and interpret the results is an advantage . Key Responsibilities: Work with … positive and enthusiastic attitude. A strong customer and real-world focus and a desire to see their solutions working in a production environment. Desirable A good understanding of Machine Learning and Deep Learning concepts, different model types and how to run inference on them. These are principally computer vision models. Experience with Deep Learning frameworks … acceleration and optimisation Why Join Us? Be part of a passionate, talented team in a collaborative environment. Work on innovative projects that make a global impact. Opportunities for continuous learning and professional growth . Competitive salary and benefits package. Enjoy work model that balances flexibility with team interaction. More ❯

subsequent event or alert would be triggered. We have dedicated people in the team that would develop any ML models that are required , so an expert level of Machine Learning is not essential, but a good understanding of what a model does, and how to run inference and interpret the results is an advantage . Key Responsibilities: Work with … positive and enthusiastic attitude. A strong customer and real-world focus and a desire to see their solutions working in a production environment. Desirable A good understanding of Machine Learning and Deep Learning concepts, different model types and how to run inference on them. These are principally computer vision models. Experience with Deep Learning frameworks … acceleration and optimisation Why Join Us? Be part of a passionate, talented team in a collaborative environment. Work on innovative projects that make a global impact. Opportunities for continuous learning and professional growth . Competitive salary and benefits package. Enjoy work model that balances flexibility with team interaction. More ❯

taking basic AI model outputs, applying additional processing, and delivering actionable outputs—such as detecting a person and their interactions to trigger events or alerts. While expertise in Machine Learning is not mandatory, a good understanding of models, inference, and interpreting results is advantageous. Key Responsibilities: Collaborate with the product team to understand new use case requirements and develop … depth knowledge of Linux operating systems. Excellent communication skills and a positive, enthusiastic attitude. Customer-focused with a desire to see solutions operational in production. Desirable Understanding of Machine Learning and Deep Learning concepts, especially computer vision models. Experience with frameworks like PyTorch, TensorFlow, or OpenVino. Knowledge of GPU acceleration and optimization. Why Join Us? Be part … of a passionate, talented team in a collaborative environment. Work on innovative projects with a global impact. Opportunities for continuous learning and professional growth. Competitive salary and benefits package. Flexible work model balancing team interaction and independence. #J-18808-Ljbffr More ❯

Machine Learning Engineering Manager (Operations) Join to apply for the Machine Learning Engineering Manager (Operations) role at THG Ingenuity . About THG Ingenuity THG Ingenuity is a fully integrated digital commerce ecosystem, designed to power brands without limits. Our global end-to-end tech platform includes three products: THG Commerce, THG Studios, and THG Fulfilment. Each offers a … Procter & Gamble. Role Overview The ML Manager (Operations) leads multiple squads covering Fraud, Customer Experience (CX), and Logistics. You will oversee a cross-functional team focused on leveraging machine learning to enhance business operations, including developing AI-driven solutions for fraud detection, customer support, and logistics optimization. Key Responsibilities Lead, mentor, and manage a team of machine learning professionals. Define and execute the machine learning strategy aligned with business goals. Oversee the entire lifecycle of ML projects from conception to deployment and monitoring. Guide the team in building, training, and deploying models. Ensure best practices in data preparation, feature engineering, and model validation. Establish workflows for deployment, monitoring, and scaling of models. Qualifications Proven experience as More ❯

the solutions bespoke to that need. Ideally you'll come from a customer-focused background, and whilst they won't expect you to be an out-and-out Machine Learning expert, you should understand how models work and how to use their results in real-world situations. Key responsibilities: Understand the requirements for new clients and configure solutions Work … to improve performance Test the overall solution to see how it performs Key experience: Python (NumPy/OpenCV)/PyTorch/TensorFlow Good understanding of AI/ML Models (DeepLearning/Computer Vision) CI/CD TDD Why join them: Be part of a thriving, well-funded start up - more than typical routes for growth/progression Unfortunately this role More ❯

the solutions bespoke to that need. Ideally you'll come from a customer-focused background, and whilst they won't expect you to be an out-and-out Machine Learning expert, you should understand how models work and how to use their results in real-world situations. Key responsibilities: Understand the requirements for new clients and configure solutions Work … to improve performance Test the overall solution to see how it performs Key experience: Python (NumPy/OpenCV)/PyTorch/TensorFlow Good understanding of AI/ML Models (DeepLearning/Computer Vision) CI/CD TDD Linux Why join them: Be part of a thriving, well-funded start up - more than typical routes for growth/progression Remote working More ❯

Familiarity with PyTorch or TensorFlow Computer Vision Experience working with ML pipelines and tooling (CI/CD, TDD) Comfortable working in a Linux environment Good understanding of ML and Deep Learning concepts (especially Computer Vision) Prior experience in a customer-focused or consultative technical role Why Join? Be part of a high-growth, well-funded AI startup Real More ❯

the solutions bespoke to that need. Ideally you'll come from a customer-focused background, and whilst they won't expect you to be an out-and-out Machine Learning expert, you should understand how models work and how to use their results in real-world situations. Key responsibilities: Understand the requirements for new clients and configure solutions Work … to improve performance Test the overall solution to see how it performs Key experience: Python (NumPy/OpenCV)/PyTorch/TensorFlow Good understanding of AI/ML Models (DeepLearning/Computer Vision) CI/CD TDD Why join them: Be part of a thriving, well-funded start up - more than typical routes for growth/progression Unfortunately this role More ❯

the solutions bespoke to that need. Ideally you'll come from a customer-focused background, and whilst they won't expect you to be an out-and-out Machine Learning expert, you should understand how models work and how to use their results in real-world situations. Key responsibilities: Understand the requirements for new clients and configure solutions Work … to improve performance Test the overall solution to see how it performs Key experience: Python (NumPy/OpenCV)/PyTorch/TensorFlow Good understanding of AI/ML Models (DeepLearning/Computer Vision) CI/CD TDD Why join them: Be part of a thriving, well-funded start up - more than typical routes for growth/progression Unfortunately this role More ❯

field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical Engineering, etc.), expertise in cutting-edge AI and machine learning is essential; while structure prediction or materials chemistry experience would be advantageous, it is not a pre-requisite for the role. This post would be ideal for an ambitious … ensure that the developed methods make optimal use of domain expertise and integrate fully into “human in the loop” workflows. This post is available for two years. Keywords: Geometric Deep Learning, in particular Graph Neural Networks, Deep Reinforcement Learning, Generative Modelling, in particular Denoising Diffusions, Combinatorial Optimisation. Commitment to Diversity The University of Liverpool is committed More ❯

develops, and maintains enterprise-grade bespoke solutions that deliver tangible value. We are seeking a Senior Program Manager for one of our clients, a technology AI company focusing on deep learning, computer vision, and mapping. The Sr. Program Manager will oversee projects and pilots with European customers, including system implementations, providing end-to-end program management throughout the … in project or application engineering with technical products. Experience leading at least 3 new products into production. Strong technical background in connected device software, data as a product, machine learning, and cloud systems. Experience collaborating with multidisciplinary technical teams to deliver customer solutions. Knowledge of tools and techniques for managing complex project development through its entire lifecycle. Experience in More ❯