1 to 25 of 40 Deep Learning Jobs in Yorkshire

Social network you want to login/join with: Junior Machine Learning Engineer - AI startup, doncaster col-narrow-left Client: Founding Teams Location: doncaster, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: Founding Teams is a stealth AI Tech Incubator & Talent platform. … a passion for next generation AI tech startups and working with great global startup talent. About the Role: We are looking for an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers … to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models More ❯

Social network you want to login/join with: Junior Machine Learning Engineer - AI startup, wakefield col-narrow-left Client: Founding Teams Location: wakefield, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: Founding Teams is a stealth AI Tech Incubator & Talent platform. … a passion for next generation AI tech startups and working with great global startup talent. About the Role: We are looking for an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers … to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models More ❯

Social network you want to login/join with: Junior Machine Learning Engineer - AI startup, bradford col-narrow-left Client: Founding Teams Location: bradford, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: Founding Teams is a stealth AI Tech Incubator & Talent platform. … a passion for next generation AI tech startups and working with great global startup talent. About the Role: We are looking for an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers … to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models More ❯

Social network you want to login/join with: Junior Machine Learning Engineer - AI startup, york col-narrow-left Client: Founding Teams Location: Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: Founding Teams is a stealth AI Tech Incubator & Talent platform. We are supporting … a passion for next generation AI tech startups and working with great global startup talent. About the Role: We are looking for an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers … to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models More ❯

Social network you want to login/join with: Junior Machine Learning Engineer - AI startup, sheffield, south yorkshire col-narrow-left Client: Founding Teams Location: sheffield, south yorkshire, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: Founding Teams is a stealth AI … a passion for next generation AI tech startups and working with great global startup talent. About the Role: We are looking for an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers … to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models More ❯

Social network you want to login/join with: Junior Machine Learning Engineer - AI startup, leeds, west yorkshire col-narrow-left Client: Founding Teams Location: leeds, west yorkshire, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: Founding Teams is a stealth AI … a passion for next generation AI tech startups and working with great global startup talent. About the Role: We are looking for an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers … to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models More ❯

Social network you want to login/join with: Junior Machine Learning Engineer - AI startup, kingston upon hull, east yorkshire col-narrow-left Client: Founding Teams Location: kingston upon hull, east yorkshire, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: Founding Teams … a passion for next generation AI tech startups and working with great global startup talent. About the Role: We are looking for an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers … to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models More ❯

Are you a data-driven problem solver with expertise in machine learning and data manipulation? PwC is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and SQL. As a Data Scientist at PwC, you will work … team collaborating with business stakeholders, technology teams, and other relevant groups to understand their needs, gather requirements, and align AI solutions with organisational goals. Prototyping, developing, and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. Model validation and model testing of production models. … Presenting findings to senior internal and external stakeholders in written reports and presentations. This role is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL More ❯

and systems to extract knowledge or insights to drive the future of artificial intelligence. What you will be doing: Applying and/or developing statistical modelling techniques (such as deep neural networks, Bayesian models, Generative AI, Forecasting), optimization methods and other ML techniques Converting data into practical insights Analysing and investigating data quality for identified data and communicate it … key stakeholders exploring new data sources with excellent coding skills in Python, R, SQL etc. Understanding of cloud services AWS, Snowflake and Databricks. Evidence of academic training in Statistics. Deep/broad knowledge of machine learning, statistics, optimisation, or related field with exposure to Generative AI and Large Language Models. A genuine curiosity about new and applied technology More ❯

names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The ideal candidate … will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based forensic audio … and research teams. Required Qualifications: Master's or Ph.D. in Computer Science, Electrical Engineering, Music Technology, or a related field. Strong background in digital signal processing (DSP) and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real More ❯

names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The ideal candidate … will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based forensic audio … and research teams. Required Qualifications: Master's or Ph.D. in Computer Science, Electrical Engineering, Music Technology, or a related field. Strong background in digital signal processing (DSP) and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real More ❯

names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The ideal candidate … will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based forensic audio … and research teams. Required Qualifications: Master's or Ph.D. in Computer Science, Electrical Engineering, Music Technology, or a related field. Strong background in digital signal processing (DSP) and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real More ❯

names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The ideal candidate … will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based forensic audio … and research teams. Required Qualifications: Master's or Ph.D. in Computer Science, Electrical Engineering, Music Technology, or a related field. Strong background in digital signal processing (DSP) and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real More ❯

names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The ideal candidate … will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based forensic audio … and research teams. Required Qualifications: Master's or Ph.D. in Computer Science, Electrical Engineering, Music Technology, or a related field. Strong background in digital signal processing (DSP) and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real More ❯

names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The ideal candidate … will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based forensic audio … and research teams. Required Qualifications: Master's or Ph.D. in Computer Science, Electrical Engineering, Music Technology, or a related field. Strong background in digital signal processing (DSP) and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real More ❯

names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The ideal candidate … will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based forensic audio … and research teams. Required Qualifications: Master's or Ph.D. in Computer Science, Electrical Engineering, Music Technology, or a related field. Strong background in digital signal processing (DSP) and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real More ❯

involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product offering. Build algorithms, perform offline and A …/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and publish your work for internal and external … join conversations with customers led by our marketing team. Essential skills PhD in Computer Science or related field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in Python, Java, C++, or a More ❯

involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product offering. Build algorithms, perform offline and A …/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and publish your work for internal and external … join conversations with customers led by our marketing team. Essential skills PhD in Computer Science or related field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in Python, Java, C++, or a More ❯

involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product offering. Build algorithms, perform offline and A …/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and publish your work for internal and external … join conversations with customers led by our marketing team. Essential skills PhD in Computer Science or related field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in Python, Java, C++, or a More ❯

involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product offering. Build algorithms, perform offline and A …/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and publish your work for internal and external … join conversations with customers led by our marketing team. Essential skills PhD in Computer Science or related field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in Python, Java, C++, or a More ❯

involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product offering. Build algorithms, perform offline and A …/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and publish your work for internal and external … join conversations with customers led by our marketing team. Essential skills PhD in Computer Science or related field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in Python, Java, C++, or a More ❯

involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product offering. Build algorithms, perform offline and A …/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and publish your work for internal and external … join conversations with customers led by our marketing team. Essential skills PhD in Computer Science or related field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in Python, Java, C++, or a More ❯

involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product offering. Build algorithms, perform offline and A …/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and publish your work for internal and external … join conversations with customers led by our marketing team. Essential skills PhD in Computer Science or related field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in Python, Java, C++, or a More ❯

As the Engineer for Artificial Intelligence & Machine Learning at A-Safe, you will collaborate across multiple teams to lead AI & ML model training, validation, experimentation, and monitoring to ensure consistent, reliable performance in production environments. This is a full-stack role involving close work with Data teams to ensure system compatibility and efficient handling of AI & ML workloads, as … well as with Software Development Teams for proof of concept (POC) experiments and deployments. In this pivotal role, you will design and deliver robust, scalable AI and Machine Learning solutions, championing innovative development. Your expertise will demonstrate the transformative potential of AI/ML at A-SAFE, enhancing operational efficiency, optimizing performance, and supporting data-driven decision-making. By … workflows. Possess skills in model deployment, monitoring, versioning, and continuous improvement frameworks (MLflow, AWS SageMaker Model Monitor), ensuring models meet scalability, latency, and operational performance requirements. Have experience with deep learning frameworks (TensorFlow, PyTorch), AWS SageMaker, Bedrock, Lambda, and familiarity with Azure AI Foundry is advantageous. Be familiar with software engineering best practices (version control, CI/CD More ❯

global leader in advanced computing, with a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization. Role Overview: We're seeking a motivated Deep Learning Researcher with a strong background in machine learning, AI, or related fields. You’ll contribute to innovative projects in areas such as large language models (LLMs … reinforcement learning, and optimization for chip design and AI system integration. Responsibilities: • Conduct and publish cutting-edge AI/ML research • Design algorithms for chip optimization and intelligent systems • Collaborate with engineering teams to integrate AI into real-world tools • Stay current on AI trends and contribute to open research Requirements: • PhD or equivalent experience in ML, AI, CS … physics, or mathematics • Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) • Solid grasp of ML techniques; independent and team-oriented mindset Preferred: • Experience in LLMs, reinforcement learning, or chip design • Familiarity with JAX and optimization frameworks #J-18808-Ljbffr More ❯