76 to 100 of 133 Deep Learning Jobs in London

of a startup with the reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to deliver machine learning solutions that unlock value and accelerate decision-making. Your work will range from developing and validating robust predictive models for pricing and valuation across diverse asset classes to dynamically … also adopted and delivering measurable business value, supporting deal team members and portfolio company executives. We’re looking for data scientists who are passionate about impact—those who bring deep statistical knowledge, thrive in fast-paced environments, and want to see their models deployed, used, and making a difference. What you will do Build and deliver AI solutions: Design … Establish credibility by delivering high-quality solutions, challenging assumptions constructively, and iterating quickly in response to feedback. Develop broad technical capability: Work across the full data science lifecycle, continuously learning and applying new technologies. Sample project you will work on: Real estate portfolio valuation: Work on developing advanced valuation models for real estate portfolios using internal and external data More ❯

Align with our industry partners to develop your career and the solutions we deliver for our clients. In this role you will: Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics to identify new and innovative opportunities. … Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Contribute More ❯

Engineering Manager - Machine Learning | Early-Stage AI Start-Up | London Engineering Manager who has built and managed Machine Learning Engineering or Research teams required to join an early-stage start-up in London building cutting edge AI technology. This is a rare opportunity to join something big from the early days, shape the technical and product direction, and … lead a world-class team developing breakthrough AI systems. About you: Proven experience building and managing ML Engineering and/or Research teams Strong technical background in ML, deep learning, computer vision, or applied AI. Expertise in Python and modern ML frameworks (e.g., PyTorch, TensorFlow) Track record of delivering ML systems in production environments Experience in a start … up or fast-paced, high-ownership environment Excellent leadership, communication, and mentorship skills Bonus points: PhD in Machine Learning, Artificial Intelligence, Computer Science, Applied Mathematics, or a related field. Publications in top-tier journals or conferences (NeurIPS, ICLR, CVPR, ICML) You will: Build, lead and inspire a world class ML team Shape the technology, product, and culture from day More ❯

Engineering Manager - Machine Learning | Early-Stage AI Start-Up | London Engineering Manager who has built and managed Machine Learning Engineering or Research teams required to join an early-stage start-up in London building cutting edge AI technology. This is a rare opportunity to join something big from the early days, shape the technical and product direction, and … lead a world-class team developing breakthrough AI systems. About you: Proven experience building and managing ML Engineering and/or Research teams Strong technical background in ML, deep learning, computer vision, or applied AI. Expertise in Python and modern ML frameworks (e.g., PyTorch, TensorFlow) Track record of delivering ML systems in production environments Experience in a start … up or fast-paced, high-ownership environment Excellent leadership, communication, and mentorship skills Bonus points: PhD in Machine Learning, Artificial Intelligence, Computer Science, Applied Mathematics, or a related field. Publications in top-tier journals or conferences (NeurIPS, ICLR, CVPR, ICML) You will: Build, lead and inspire a world class ML team Shape the technology, product, and culture from day More ❯

business at the forefront of AI innovation in sport and human performance. They’re looking for a Lead AI/ML Engineer to take ownership of their applied machine learning function, with a strong focus on computer vision, automation, and generative AI. This is a hands-on leadership role, ideal for someone who wants to combine technical expertise with … bringing new ideas into production. Partner with domain experts to translate biomechanical data into actionable insights. What we’re looking for Strong background in computer vision and video-based deep learning, (ideally pose estimation, biomechanics or human movement) Proven technical leadership experience, ideally with direct reports. Track record of deploying ML models into production environments. Hands-on skills … with TensorFlow, PyTorch, OpenCV, and Python ML frameworks. Excellent communication skills and ability to work cross-functionally. Desirable MSc/PhD in Machine Learning, Computer Vision, or related field. Knowledge of Generative AI models (GANs, diffusion, LLMs). Experience with MLOps and lifecycle management. Experience in startups or fast-paced R&D. Why apply? Flexible hybrid working (London office More ❯

business at the forefront of AI innovation in sport and human performance. They’re looking for a Lead AI/ML Engineer to take ownership of their applied machine learning function, with a strong focus on computer vision, automation, and generative AI. This is a hands-on leadership role, ideal for someone who wants to combine technical expertise with … bringing new ideas into production. Partner with domain experts to translate biomechanical data into actionable insights. What we’re looking for Strong background in computer vision and video-based deep learning, (ideally pose estimation, biomechanics or human movement) Proven technical leadership experience, ideally with direct reports. Track record of deploying ML models into production environments. Hands-on skills … with TensorFlow, PyTorch, OpenCV, and Python ML frameworks. Excellent communication skills and ability to work cross-functionally. Desirable MSc/PhD in Machine Learning, Computer Vision, or related field. Knowledge of Generative AI models (GANs, diffusion, LLMs). Experience with MLOps and lifecycle management. Experience in startups or fast-paced R&D. Why apply? Flexible hybrid working (London office 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 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 More ❯

end-to-end lifecycle of projects: from identifying opportunities in literature, through proof-of-concept, to real-world production. Your work will sit at the cutting edge of Machine Learning and reasoning systems, with a particular focus on neurosymbolic AI, complex planning, and fully explainable architectures. Why Join Us? Team - You'll join a world-class group of smart … engineers, articulating complex ideas clearly to technical and non-technical audiences. Analyse and inspect large-scale datasets to support neural training and symbolic extraction. What We're Looking For: Deep learning expertise with significant industry experience, and c. 2+ years applying it to language generation, including working with Large Language Models, neurosymbolic integration and knowledge representation. Experience with … Frameworks like Pytorch, HF Transformers, Tensorflow, JAX. Track record working as an independent contributor capable of end-to-end development with demonstrable experience in utilising and deploying transformer models. Deep knowledge of machine learning fundamentals and cloud experience. Enthusiasm to learn and get up to speed with cutting-edge technologies which you may not already be deeply familiar More ❯

no worrying about how to explain what you do to your family again! In this role you will:? Lead, motivate and inspire teams of Data Scientists? Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such as Deep Learning and … business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects? Devise reusable assets, solutions and develop best practices for current and future business problems Lead analytical discussions and influence analytical direction of More ❯

partnered with a global energy organisation to recruit a contract Senior AI Engineer. This hands-on role is perfect for someone passionate about applying cutting-edge AI and machine learning to solve real-world industrial and customer challenges. You’ll leverage your background in mathematics, computer science, or a related STEM field to deliver innovative AI solutions, tackle complex … teams while also owning technical delivery. Responsibilities for the Senior AI Engineer Design, build and deploy AI/ML systems that drive measurable business impact. Apply advanced AI techniques - deep learning, GNNs, object detection, sensor fusion, embeddings, RAG and generative AI - to create adaptive, self-learning solutions. Provide guidance on AI architecture and scalable deployment for autonomous More ❯

partnered with a global energy organisation to recruit a contract Senior AI Engineer. This hands-on role is perfect for someone passionate about applying cutting-edge AI and machine learning to solve real-world industrial and customer challenges. You’ll leverage your background in mathematics, computer science, or a related STEM field to deliver innovative AI solutions, tackle complex … teams while also owning technical delivery. Responsibilities for the Senior AI Engineer Design, build and deploy AI/ML systems that drive measurable business impact. Apply advanced AI techniques - deep learning, GNNs, object detection, sensor fusion, embeddings, RAG and generative AI - to create adaptive, self-learning solutions. Provide guidance on AI architecture and scalable deployment for autonomous More ❯

technologies, ERP systems and trading platforms. Responsibilities for the Senior AI Engineer Design, build and deploy AI/ML systems that drive measurable business impact. Apply advanced AI techniques - deep learning, GNNs, object detection, sensor fusion, embeddings, RAG and generative AI - to create adaptive, self-learning solutions. Provide guidance on AI architecture and scalable deployment for autonomous More ❯

technologies, ERP systems and trading platforms. Responsibilities for the Senior AI Engineer Design, build and deploy AI/ML systems that drive measurable business impact. Apply advanced AI techniques - deep learning, GNNs, object detection, sensor fusion, embeddings, RAG and generative AI - to create adaptive, self-learning solutions. Provide guidance on AI architecture and scalable deployment for autonomous More ❯

a crucial part in architecting, developing and deploying cutting-edge AI/ML solutions within the financial services domain. About you Hands-on lead experience in AI and machine learning engineering. Skilled in architecting and building AI/ML solutions tailored to financial services, with a solid track record working with financial datasets. Proficient in Python, LLMs and widely … used ML frameworks such as scikit-learn, TensorFlow, and PyTorch. Deep understanding of data engineering principles and industry best practices. Knowledge of scaling AI applications and teams, as you will be a prominent figure in expanding this business function moving forward. Preferred Qualifications: Familiarity with deep learning techniques and natural language processing (NLP). Financial services background More ❯

a crucial part in architecting, developing and deploying cutting-edge AI/ML solutions within the financial services domain. About you Hands-on lead experience in AI and machine learning engineering. Skilled in architecting and building AI/ML solutions tailored to financial services, with a solid track record working with financial datasets. Proficient in Python, LLMs and widely … used ML frameworks such as scikit-learn, TensorFlow, and PyTorch. Deep understanding of data engineering principles and industry best practices. Knowledge of scaling AI applications and teams, as you will be a prominent figure in expanding this business function moving forward. Preferred Qualifications: Familiarity with deep learning techniques and natural language processing (NLP). Financial services background More ❯

applied AI, helping organisations turn cutting-edge computer vision into production-ready solutions. They’re now seeking a Solution Engineer to act as the bridge between world-class machine learning technology and real-world business impact - guiding clients from concept through to deployment. This role sits at the intersection of engineering, product, and customer success - perfect for someone who … enjoys combining deep technical knowledge with hands-on problem solving and direct client interaction. 🔥 What You’ll Get Competitive salary – up to €130,000, depending on experience Opportunity to work with leading-edge computer vision and AI systems Exposure to diverse, global clients across multiple industries Collaborative environment where technical and customer impact go hand in hand 🧠 Your Impact … supporting pre-sales efforts and advising on best practices for deployment and model performance ✅ What We’re Looking For 5+ years of engineering experience in computer vision or machine learning Proven experience working directly with clients to design, prototype, and deploy ML models and computer vision solutions into production Strong understanding of deep learning frameworks (e.g. YOLO More ❯

applied AI, helping organisations turn cutting-edge computer vision into production-ready solutions. They’re now seeking a Solution Engineer to act as the bridge between world-class machine learning technology and real-world business impact - guiding clients from concept through to deployment. This role sits at the intersection of engineering, product, and customer success - perfect for someone who … enjoys combining deep technical knowledge with hands-on problem solving and direct client interaction. 🔥 What You’ll Get Competitive salary – up to €130,000, depending on experience Opportunity to work with leading-edge computer vision and AI systems Exposure to diverse, global clients across multiple industries Collaborative environment where technical and customer impact go hand in hand 🧠 Your Impact … supporting pre-sales efforts and advising on best practices for deployment and model performance ✅ What We’re Looking For 5+ years of engineering experience in computer vision or machine learning Proven experience working directly with clients to design, prototype, and deploy ML models and computer vision solutions into production Strong understanding of deep learning frameworks (e.g. YOLO 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 ❯

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 heart of … 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 tractable pipelines Confident in managing small technical teams, reviewing work, and setting standards for robustness and clarity Experience with stakeholder engagement and translating outputs More ❯

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 heart of … 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 tractable pipelines Confident in managing small technical teams, reviewing work, and setting standards for robustness and clarity Experience with stakeholder engagement and translating outputs More ❯

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 heart of … 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 tractable pipelines Confident in managing small technical teams, reviewing work, and setting standards for robustness and clarity Experience with stakeholder engagement and translating outputs More ❯

into the public sector, looking for multiple ML Engineers. Inside IR35 £400 - £500 per day (depending on experience level) Remote (occasional London travel) Proven experience building and deploying machine learning models in a production environment. Strong programming skills and deep expertise in Python. Hands-on experience building with agentic or RAG (Retrieval-Augmented Generation) frameworks like LangChain or … . Experience with a major conversational AI platform (Google Dialogflow, Amazon Lex, Rasa, or similar). A solid understanding of core Python ML libraries (Keras, scikit-learn, Pandas) and deep learning frameworks (TensorFlow, PyTorch). Desirable (but not essential) experience: Working with tools/interfaces for AI applications e.g. MCP protocol. Training traditional ML and DL models using More ❯

feeding into the public sector, looking for multiple ML Engineers.Inside IR35£400 - £500 per day (depending on experience level)Remote (occasional London travel) Proven experience building and deploying machine learning models in a production environment. Strong programming skills and deep expertise in Python. Hands-on experience building with agentic or RAG (Retrieval-Augmented Generation) frameworks like LangChain or … . Experience with a major conversational AI platform (Google Dialogflow, Amazon Lex, Rasa, or similar). A solid understanding of core Python ML libraries (Keras, scikit-learn, Pandas) and deep learning frameworks (TensorFlow, PyTorch). Desirable (but not essential) experience: Working with tools/interfaces for AI applications e.g. MCP protocol. Training traditional ML and DL models using More ❯