51 to 73 of 73 Deep Learning Jobs in the City of London

AI Engineer to join a dynamic team working on cutting-edge industrial and customer-focused AI initiatives. Key Responsibilities: Lead the design, development, and deployment of AI and machine learning solutions for enterprise environments. Apply advanced techniques such as deep learning, graph neural networks, object detection, sensor fusion, vector embedding, retrieval augmented generation, and generative AI. Provide More ❯

Provide technical guidance and mentorship to junior team members Contribute to research culture through knowledge sharing and best practice development Essential Requirements Professional Experience Hands-on experience in NLP, deep learning, and transformer-based architectures Demonstrated involvement in LLM projects including training, fine-tuning, or production deployment Strong track record in scalable AI system development Technical Expertise Expert … level Python programming with deep knowledge of PyTorch, TensorFlow, or JAX Proven experience with distributed computing environments and modern MLOps workflows Practical knowledge of LLM toolkits (Hugging Face ecosystem, training frameworks) Strong problem-solving abilities for complex model performance and infrastructure challenges Highly Valued Advanced degree (Master's/PhD) in Computer Science, Machine Learning, or related discipline More ❯

Provide technical guidance and mentorship to junior team members Contribute to research culture through knowledge sharing and best practice development Essential Requirements Professional Experience Hands-on experience in NLP, deep learning, and transformer-based architectures Demonstrated involvement in LLM projects including training, fine-tuning, or production deployment Strong track record in scalable AI system development Technical Expertise Expert … level Python programming with deep knowledge of PyTorch, TensorFlow, or JAX Proven experience with distributed computing environments and modern MLOps workflows Practical knowledge of LLM toolkits (Hugging Face ecosystem, training frameworks) Strong problem-solving abilities for complex model performance and infrastructure challenges Highly Valued Advanced degree (Master's/PhD) in Computer Science, Machine Learning, or related discipline More ❯

our team and collaborate with world class engineers, data scientists, and researchers to shape the future of secure authentication. What you will be doing: Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate your results to the Science team, Engineering and Product teams Participate in the machine … learning life of the team (reading groups, etc.) Learn best machine learning practices from a team of senior applied scientists Essential Skills: Formal training in machine learning and computer vision Coding experience in python Experience working with at least one deep learning framework (pytorch or tensorflow) A strong willingness to learn Highly collaborative mindset A … Free mental health coaching provided online Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy Dedicated learning opportunities including using tools like Learnerbly with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more Our open and transparent culture is More ❯

Machine Learning Engineer 📍 London (Office-based) | 💰 Up to £120,000 + Equity | 🚀 SF & London Startup We’re partnered with a venture-backed startup operating across San Francisco and London. They’re building AI-driven products from the ground up and are now hiring a Machine Learning Engineer to join the founding team. What they’re looking for: Top … tier university background PhD is nice to have. Startup experience (ideally 0→1) Strong foundations in ML (deep learning, NLP, or recommendation systems) Solid Python skills, production deployment experience a plus Comfort working end-to-end: prototyping → scaling in production Why join? Office-based culture in London Direct impact on the core product and roadmap Quick, streamlined interview More ❯

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 Machine 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 contribute to open research Requirements: PhD or equivalent experience in ML, AI, CS, physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindse Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX More ❯

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 Machine 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 contribute to open research Requirements: PhD or equivalent experience in ML, AI, CS, physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindse Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX More ❯

Role: Machine Learning Engineer London: Central London - hybrid working Salary: £125,000 + bonus + benefits Industry: Technology Scale Up, circa 300 people The role: You will lead the design & development of robust Machine Learning models to solve complex problems. You will work alongside MLOps to help build the ML infrastructure for these models to be deployed, and … internal stakeholders to ensure the models being built are improving customer experience, and business efficiency. What we're looking for: Experienced ML Engineer, working across LLM, Computer Vision, NLP, Deep Learning Experience with deploying ML models into production An understanding of emerging technologies - such as Retrieval-Augmented Generation (RAG) and Knowledge Graphs A proactive mindset to identify problems More ❯

Role: Machine Learning Engineer London: Central London - hybrid working Salary: £125,000 + bonus + benefits Industry: Technology Scale Up, circa 300 people The role: You will lead the design & development of robust Machine Learning models to solve complex problems. You will work alongside MLOps to help build the ML infrastructure for these models to be deployed, and … internal stakeholders to ensure the models being built are improving customer experience, and business efficiency. What we're looking for: Experienced ML Engineer, working across LLM, Computer Vision, NLP, Deep Learning Experience with deploying ML models into production An understanding of emerging technologies - such as Retrieval-Augmented Generation (RAG) and Knowledge Graphs A proactive mindset to identify problems More ❯

Contribute to the development of a fantastic visualisation layer for analytics, making complex insights accessible and actionable. Key Skills and Experience NLP Mastery Proficiency in LLMs and transformer architecture. Deep understanding of traditional NLP techniques. Data & Visualisation Solid grasp of data visualisation tools (Tableau, Power BI, Cognos, etc.) Proficiency in Python visualisation libraries (Matplotlib, Seaborn.) SQL for data extraction … datasets. Technical Skills Proficiency in cloud computing and python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series … analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson) IND_PC3 Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy. More ❯

technical stakeholders Collaborate with analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including … Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models, including building and deploying APIs Strong visualization and communication skills , with the ability to translate complex technical findings More ❯

technical stakeholders Collaborate with analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including … Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models, including building and deploying APIs Strong visualization and communication skills , with the ability to translate complex technical findings More ❯

The Role: You will work within a tight-knit, agile team tackling real-world problems using cutting-edge data science and engineering techniques. Key Responsibilities: Develop and deploy machine learning models Solve complex data problems in a big data environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience as a Data Scientist or Data Engineer … Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding of CI/CD practices , AWS , and GIT Background in working to strict project deadlines Palantir experience More ❯

The Role: You will work within a tight-knit, agile team tackling real-world problems using cutting-edge data science and engineering techniques. Key Responsibilities: Develop and deploy machine learning models Solve complex data problems in a big data environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience as a Data Scientist or Data Engineer … Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding of CI/CD practices , AWS , and GIT Background in working to strict project deadlines Palantir experience More ❯

the following: Experience in working as a Data Scientist/Data Engineer A understand of Palantir would be a huge + Experience of completing projects to deadline. Experience in Deep Learning and DL frameworks such as Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for data science – scikit-learn, NumPy, matplotlib Relation More ❯

the following: Experience in working as a Data Scientist/Data Engineer A understand of Palantir would be a huge + Experience of completing projects to deadline. Experience in Deep Learning and DL frameworks such as Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for data science – scikit-learn, NumPy, matplotlib Relation More ❯

Lead Data Scientist | Biotech & Machine Learning | London (3/4 days per week onsite) About Excited to apply advanced machine learning to real-world biomedical discovery? This fast-growing biotech startup is building breakthrough algorithms that extract insight from complex, noisy time-series data - and they’re looking for a Senior Data Scientist to help shape the future … of proteomics. You’ll lead end-to-end projects applying deep learning, probabilistic modelling, and dynamic programming to biological datasets, working closely with scientists and engineers to turn research into production-grade tools. This is your chance to bring cutting-edge ML into the heart of biomedical innovation and see your work accelerate discoveries that matter. 💡 Why join More ❯

Senior Data Scientist | Biotech & Machine Learning | London (3/4 days per week onsite) About Excited to apply advanced machine learning to real-world biomedical discovery? This fast-growing biotech startup is building breakthrough algorithms that extract insight from complex, noisy time-series data - and they’re looking for a Senior Data Scientist to help shape the future … of proteomics. You’ll lead end-to-end projects applying deep learning, probabilistic modelling, and dynamic programming to biological datasets, working closely with scientists and engineers to turn research into production-grade tools. This is your chance to bring cutting-edge ML into the heart of biomedical innovation and see your work accelerate discoveries that matter. 💡 Why join More ❯

Lead Data Scientist | Biotech & Machine Learning | London (3/4 days per week onsite) About Excited to apply advanced machine learning to real-world biomedical discovery? This fast-growing biotech startup is building breakthrough algorithms that extract insight from complex, noisy time-series data - and they’re looking for a Senior Data Scientist to help shape the future … of proteomics. You’ll lead end-to-end projects applying deep learning, probabilistic modelling, and dynamic programming to biological datasets, working closely with scientists and engineers to turn research into production-grade tools. This is your chance to bring cutting-edge ML into the heart of biomedical innovation and see your work accelerate discoveries that matter. 💡 Why join More ❯

quant technology stack supporting systematic crypto trading. Lead applied AI/ML initiatives, including anomaly detection, LLM integration, and predictive modelling. Design and deploy scalable, real-time applications using deep learning and statistical techniques. Collaborate with Researchers and Traders to implement and optimise automated trading strategies. Integrate alternative datasets and build intelligent data pipelines to support research and More ❯

quant technology stack supporting systematic crypto trading. Lead applied AI/ML initiatives, including anomaly detection, LLM integration, and predictive modelling. Design and deploy scalable, real-time applications using deep learning and statistical techniques. Collaborate with Researchers and Traders to implement and optimise automated trading strategies. Integrate alternative datasets and build intelligent data pipelines to support research and More ❯

You are interested in doing research, trying new things and pushing the boundaries, going beyond what’s already known. You have experience in using most modern frameworks for machine learning and deep learning. You have great coding skills in Python and you care about writing clean code. You have experience with SDLC tools (Git), preferably CI/CD More ❯

You are interested in doing research, trying new things and pushing the boundaries, going beyond what’s already known. You have experience in using most modern frameworks for machine learning and deep learning. You have great coding skills in Python and you care about writing clean code. You have experience with SDLC tools (Git), preferably CI/CD More ❯