51 to 75 of 92 Neural Network Jobs in the UK

accuracy Essential skills 🙏 Strong expertise in NLP Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar More ❯

accuracy Essential skills 🙏 Strong expertise in NLP Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar More ❯

evaluation frameworks. What we’re looking for PhD/MSc in CS, AI, Math, Physics. Hands-on experience with foundation models (PyTorch, Ray). Strong background in graph neural nets + transformer architectures . Publications at top conferences (NeurIPS, ICML, ICLR, ACL). Experience with RL/post-training of LLMs. What we offer Founding level equity + More ❯

evaluation frameworks. What we’re looking for PhD/MSc in CS, AI, Math, Physics. Hands-on experience with foundation models (PyTorch, Ray). Strong background in graph neural nets + transformer architectures . Publications at top conferences (NeurIPS, ICML, ICLR, ACL). Experience with RL/post-training of LLMs. What we offer Founding level equity + More ❯

evaluation frameworks. What we’re looking for PhD/MSc in CS, AI, Math, Physics. Hands-on experience with foundation models (PyTorch, Ray). Strong background in graph neural nets + transformer architectures . Publications at top conferences (NeurIPS, ICML, ICLR, ACL). Experience with RL/post-training of LLMs. What we offer Founding level equity + More ❯

evaluation frameworks. What we’re looking for PhD/MSc in CS, AI, Math, Physics. Hands-on experience with foundation models (PyTorch, Ray). Strong background in graph neural nets + transformer architectures . Publications at top conferences (NeurIPS, ICML, ICLR, ACL). Experience with RL/post-training of LLMs. What we offer Founding level equity + More ❯

evaluation frameworks. What we’re looking for PhD/MSc in CS, AI, Math, Physics. Hands-on experience with foundation models (PyTorch, Ray). Strong background in graph neural nets + transformer architectures . Publications at top conferences (NeurIPS, ICML, ICLR, ACL). Experience with RL/post-training of LLMs. What we offer Founding level equity + More ❯

the role of Senior Full Stack Systems Developer include: Prior experience with some of the following methodologies:- Containerisation: Docker- MQTT, RESTful URL Data Integration- Deep Learning Neural Network Platforms Previous experience with Enterprise Linux Platforms Experience of leading/mentoring a team of developers If you are interested in the role of Senior Full Stack Systems Developer More ❯

the role of Senior Full Stack Systems Developer include: Prior experience with some of the following methodologies:- Containerisation: Docker- MQTT, RESTful URL Data Integration- Deep Learning Neural Network Platforms Previous experience with Enterprise Linux Platforms Experience of leading/mentoring a team of developers If you are interested in the role of Senior Full Stack Systems Developer More ❯

engineers and product managers to bring ML features to life. Create innovative language assessments and predictive models. Optimize models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). Solid understanding of NLP algorithms. Experience integrating ML models via RESTful APIs. Familiarity More ❯

engineers and product managers to bring ML features to life. Create innovative language assessments and predictive models. Optimize models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). Solid understanding of NLP algorithms. Experience integrating ML models via RESTful APIs. Familiarity More ❯

engineers and product managers to bring ML features to life. Create innovative language assessments and predictive models. Optimize models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). Solid understanding of NLP algorithms. Experience integrating ML models via RESTful APIs. Familiarity More ❯

engineers and product managers to bring ML features to life. Create innovative language assessments and predictive models. Optimize models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). Solid understanding of NLP algorithms. Experience integrating ML models via RESTful APIs. Familiarity More ❯

engineers and product managers to bring ML features to life. Create innovative language assessments and predictive models. Optimize models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). Solid understanding of NLP algorithms. Experience integrating ML models via RESTful APIs. Familiarity More ❯

engineers and product managers to bring ML features to life. Create innovative language assessments and predictive models. Optimize models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). Solid understanding of NLP algorithms. Experience integrating ML models via RESTful APIs. Familiarity More ❯

the role of Senior Full Stack Systems Developer include: Prior experience with some of the following methodologies:- Containerisation: Docker- MQTT, RESTful URL Data Integration- Deep Learning Neural Network Platforms Previous experience with Enterprise Linux Platforms Experience of leading/mentoring a team of developers If you are interested in the role of Senior Full Stack Systems Developer More ❯

Water/Hydrological Environment (e.g. rivers, flood risk, etc.) Prior experience with some of the following methodologies:- Containerisation: Docker- MQTT, RESTful URL Data Integration- Deep Learning Neural Network Platforms Previous experience with Enterprise Linux Platforms Experience of leading/mentoring a team of developers If you are interested in the role of Senior Full Stack Systems Developer More ❯

Water/Hydrological Environment (e.g. rivers, flood risk, etc.) Prior experience with some of the following methodologies: - Containerisation: Docker - MQTT, RESTful URL Data Integration - Deep Learning Neural Network Platforms Previous experience with Enterprise Linux Platforms Experience of leading/mentoring a team of developers If you are interested in the role of Senior Full Stack Systems Developer More ❯

OS internals/system-level software. GPU driver development. Image processing/computational photography. ARM 64-bit architecture knowledge. Familiarity with Java/Python. Exposure to ML/neural networks. If this role is of interest, reply today with an up-to-date CV to discuss further. *P. S: The company cannot provide visa sponsorship, so only candidates More ❯

OS internals/system-level software. GPU driver development. Image processing/computational photography. ARM 64-bit architecture knowledge. Familiarity with Java/Python. Exposure to ML/neural networks. If this role is of interest, reply today with an up-to-date CV to discuss further. *P. S: The company cannot provide visa sponsorship, so only candidates More ❯

models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product embeddings and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and … model performance using data insights and feedback. REQURIED SKILLS & EXPERIENCE Proven experience in machine learning, particularly in recommendation systems and deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure More ❯

models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product embeddings and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and … model performance using data insights and feedback. REQURIED SKILLS & EXPERIENCE Proven experience in machine learning, particularly in recommendation systems and deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure More ❯

models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product embeddings and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and … model performance using data insights and feedback. REQURIED SKILLS & EXPERIENCE Proven experience in machine learning, particularly in recommendation systems and deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure More ❯

models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product embeddings and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and … model performance using data insights and feedback. REQURIED SKILLS & EXPERIENCE Proven experience in machine learning, particularly in recommendation systems and deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure More ❯

models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product embeddings and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and … model performance using data insights and feedback. REQURIED SKILLS & EXPERIENCE Proven experience in machine learning, particularly in recommendation systems and deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure More ❯