1 to 25 of 67 Deep Learning Jobs in the City of London

grade workloads , focusing on efficiency, adaptability, and security . Algorithm & Model Development Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect robust data pipelines to support AI model training and inference. … inputs. Collaborate with data engineering teams to align AI solutions with real-world business applications. AI Model Training, Evaluation & Performance Optimization Train AI models using supervised, unsupervised, and reinforcement learning techniques , refining them based on business insights . Define model performance metrics to ensure AI solutions deliver tangible value. Real-Time AI Applications & System Integration Work alongside software engineers … for AI model development and deployment. Familiarity with AI libraries and frameworks (TensorFlow, PyTorch, Keras). Experience deploying AI models in cloud computing environments (AWS, Azure, Google Cloud). Deep understanding of enterprise AI architecture, data engineering, and model optimization . Strong problem-solving skills, with a business-driven approach to AI implementation. Effective communication and collaboration skills in More ❯

right pay and keep your profile in our database for future opportunities as well. This role is an excellent opportunity for professionals experienced in designing, training, and deploying machine learning models that solve real-world problems. If you're passionate about artificial intelligence, model optimization, and production-grade deployment we encourage you to apply. Remote machine learning roles … typical hiring grind. Youll work alongside US product, data, and engineering teams to build scalable ML pipelines and turn advanced algorithms into business value. We are looking for Machine Learning Engineers who are technically sharp, production-minded, and excited to push the boundaries of intelligent systems. Responsibilities Design, build, and deploy machine learning models to solve complex business … provide support for ongoing performance tuning Use tools like Python, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, MLflow, Docker, SQL , and others Requirements Minimum Bachelors degree in Computer Science, Machine Learning, AI, or a related field Proven experience as a Machine Learning Engineer or in a similar role (minimum 1 year ) Strong proficiency in Python and popular ML frameworks More ❯

the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it’s predicting … customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full … testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data More ❯

across tech and finance to help us achieve our aim. Senior Research Engineer We are seeking a highly talented and experienced Senior Research Engineer with a strong background in deep learning, particularly in the development and application of Large Language Models (LLMs), to join our growing team. This role blends research and engineering expertise, requiring a deep … will collaborate with team members to advance our AI capabilities. Responsibilities Design, develop, implement, and train very large AI models, with a focus on LLMs. Conduct original research in deep learning, particularly in areas relevant to LLMs, exploring novel architectures, training processes, and applications within the financial domain. Collaborate with portfolio managers, quants, traders, and engineers to understand … and translate them into effective AI/ML solutions. Build and maintain efficient, scalable, and reliable AI infrastructure, tools, and pipelines to support the development and deployment of machine learning models. Stay current with the latest advancements in AI, machine learning, and data science, particularly in the LLM field, and share knowledge with the team. Contribute to the More ❯

re looking for a Senior Data Scientist to join our ambitious, impact-driven team based in London. You’ll play a key role in designing and deploying advanced machine learning systems that solve complex real-world challenges across a wide range of industries—from climate risk and healthcare to international development and beyond. This is an opportunity to take … initiatives that genuinely make a difference in the world. What’s in it for you? Real-World Impact : Apply your expertise to projects that address meaningful global problems—combining deep learning, NLP, computer vision, and causal inference to deliver insights where they matter most. Technical Leadership : Influence the architecture and direction of AI systems while working with a … Balanced : Competitive salary, hybrid working options, and a culture that supports your wellbeing and personal growth. What We’re Looking For: 3+ years of experience in data science, machine learning, or applied AI roles. Strong background in statistics, predictive modeling, and advanced machine learning techniques. Proven ability to lead end-to-end AI projects—from data exploration and More ❯

Experience with data engineering and building robust data pipelines for AI/ML workloads on GCP (e.g., BigQuery, Dataflow). • Solid understanding of core AI/ML concepts, including deep learning, neural networks, NLP, and machine learning algorithms. • Familiarity with MLOps principles and tools for deploying, managing, and monitoring ML models in production. • Excellent problem-solving skills … with a passion for building innovative and impactful AI solutions. • Google Professional Cloud Architect certification Preferred Qualifications: • Google Cloud Machine Learning Engineer or equivalent. • Experience leading digital transformation or AI/ML adoption in enterprise retail environments. • Familiarity with headless commerce, product catalog systems, and in-store analytics solutions. • Knowledge of GDPR and other compliance frameworks relevant to retail. More ❯

continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your Role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed at … working reality. We have built an inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work … through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform More ❯

real-time image-to-image transformation models, with a special focus on 3D applications and rendering engine integration . Leveraging the latest in GANs, diffusion models, and large-scale deep learning, our research-driven team values autonomy, creativity, and technical excellence. Join us to help shape the future of real-time 2D/3D generative AI in a … highly collaborative and innovative environment. Role Description We are seeking a Machine Learning Engineer – Generative AI to join our onsite team in London. In this role, you will design, implement, and optimize advanced generative AI models for real-time image and 3D applications, collaborating closely with experts in computer graphics and rendering. You’ll have the opportunity to work … on some of the most technically challenging problems at the intersection of deep learning and real-time 3D systems. Minimum Qualifications Ph.D. in Computer Science, Mathematics, Electrical Engineering, or a related field; or Master’s degree with 2+ years of relevant industry experience; or Bachelor’s degree with 4+ years of relevant industry experience. Strong expertise in deep More ❯

Junior AI & Data Scientist to join our forward-thinking London-based team and contribute to transformative AI initiatives from day one! In this role, you’ll collaborate with machine learning engineers, product teams, and domain experts to design and deploy AI models that solve real-world problems. From natural language processing to computer vision and predictive analytics, you’ll … what AI can do. What’s in it for you? AI-Focused Projects: Work on cutting-edge AI systems—chatbots, recommendation engines, anomaly detection, generative models, and more. Accelerated Learning: Access to AI-specific training, conferences, and mentorship from experienced data scientists and ML engineers. Innovative Culture: Be part of a team where experimentation, creativity, and emerging tech are … opportunities in the AI space. What We’re Looking For: A degree in Artificial Intelligence, Data Science, Computer Science, Mathematics, or a related field. Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Transformers. More ❯

production (e.g., Flask, Django, Gunicorn, SQLAlchemy, Psycopg2). Strong background in working with large datasets using tools like Pandas, NumPy, or Spark. At least 2 years' experience with machine learning, deep learning, or AI systems. Familiarity with key libraries and frameworks such as TensorFlow, Scikit-learn, PyTorch, Transformers, LangChain, BeautifulSoup, and OpenCV. Experience with AI APIs and … or compliance frameworks. Academic background in mathematics, statistics, or quantitative disciplines. Who You Are: A natural problem-solver and independent thinker with a structured approach to work. Passionate about learning, growth, and continuous improvement. Organised and self-motivated, with excellent time management. Comfortable taking initiative and ownership of technical decisions. A collaborative team player who thrives in a dynamic More ❯

best and brightest minds from across tech and finance to help us achieve our aim. Senior AI Engineer We seek an exceptional Senior AI Engineer with a strong machine learning and AI background to join our team. In addition to exceptional programming skills and knowledge of data structures and algorithms, the ideal candidate should also be proficient in the … mathematical underpinnings of deep learning and deeply understand modern AI techniques. As a Senior AI Engineer, you will be responsible for designing, developing, and implementing cutting-edge AI models. Responsibilities Work closely with the research team to design, develop, implement, and train very large AI models. Build and maintain efficient, scalable, and reliable AI infrastructure, tools, and pipelines … to support the deployment of machine learning models in collaboration with the MLOps team. Continuously research and stay current with the latest advancements in AI, machine learning, and data science. Contribute to the growth of the AI team by sharing knowledge, providing mentorship, and fostering a culture of innovation and collaboration. Qualifications Master or Ph.D. in Computer Science More ❯

Quantitative Researcher - Machine Learning A fully automated algorithmic trading company in London have ambitious plans to grow their machine learning research team. All their researchers have an impressive academic background in mathematics, statistics, and physics and have published numerous academic articles in their respective fields. They enjoy a healthy work-life balance while tackling hard problems in quantitative … Researcher, you will work with a fantastic team of data scientists and engineers on a wide scope of ML responsibilities to tackle hard problems in quantitative finance: Build machine learning trading strategies across a range of asset classes Design predictive models with scientific rigor Explore new projects in neural networks and deep learning Oversee projects focused on … finding trading product solutions Requirements for the Quantitative Researcher - Machine Learning position: PhD in a technical or quantitative discipline such as statistics, mathematics, physics, or computer science Intermediate skills in at least one programming language such as C, C++, Java, or Python Understanding of machine learning algorithms Experience with applied machine learning to real-world datasets Published More ❯

About Us We are a VC-backed startup focused on behavioural AI, currently in stealth. We are building for retail with a focus on Recommendation Systems, Reinforcement Learning and Generative AI. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to build products that … customers love by harnessing cutting-edge AI to transform their shopping experience. About the Job We are looking for a Senior Data Scientist with experience in bringing advanced machine learning and data science systems to production to work with our team of industry leading domain experts and engineers. You'll be working across our entire data science stack, from … advanced recommender systems to comprehensive performance analytics. Key Responsibilities: Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling. Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems. Bring your models to production and optimise for inference in edge computing environments. More ❯

engaging pursuit. Program Highlights Mentorship: Collaborate with experienced researchers and engineers on innovative AI projects Research Focus: Engage in areas such as large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models Professional Development: Gain hands-on experience in AI research with real-world applications, contributing to both academic publications and product … leading universities and contribute to the broader scientific community Work Arrangement: Benefit from a hybrid work model, combining remote and on-site collaboration Responsibilities Conduct innovative research in machine learning and artificial intelligence Develop and implement algorithms Collaborate with cross-functional teams to integrate AI solutions Publish research findings in top-tier conferences and journals Stay up to date … with the latest advancements in AI and related fields Qualifications Required: PhD in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field Proficiency in programming languages such as Python, C++, or similar Strong problem-solving skills and the ability to work both independently and collaboratively Excellent communication skills, with the ability to present complex ideas clearly More ❯

An ambitious, deep-tech organisation at the forefront of biotechnology and artificial intelligence is seeking a visionary Head of AI to lead the development of next-generation biological foundation models. Underpinned by the world’s most comprehensive and ethically sourced database of natural biodiversity, our platform enables cutting-edge research and discovery across academia and industry. Following a successful … partnerships with global technology leaders, and build on an exceptional data infrastructure that is entirely new to science. Key responsibilities Lead and manage a team of AI and machine learning researchers/engineers, providing technical direction and fostering a culture of creativity and rigour Design and implement novel AI/ML models and algorithms, balancing exploratory research with robust … team Shape and execute a long-term AI strategy rooted in novel biological data and real-world application Essential A postgraduate degree (PhD or MSc) in Computer Science, Machine Learning, Computational Biology or a related field At least 5 years of industry experience in AI/ML research or engineering, with a minimum of 4 years in a technical More ❯

Machine Learning Engineer – Founding Team | Stealth AI Startup (Audio + Generative Models) Location: London (Hybrid) | Full-time | Competitive Salary + Equity A well-funded, early-stage startup backed by top-tier investors is seeking an ambitious Machine Learning Engineer to join as their first full-time ML hire . As a core member of the founding team, you … infrastructure for storing and transforming massive audio datasets. Apply ML audio and DSP techniques to clean, segment, and filter speech data. Manage large-scale cloud data storage with a deep understanding of cost-performance tradeoffs. Build scalable ML training pipelines in PyTorch using large datasets. Contribute to research and development of generative voice and speech-to-speech models. Prototype …/statistical approaches to enhance product capabilities. Develop robust testing pipelines to evaluate model performance on audio data. ✅ What We’re Looking For PhD in a relevant field (e.g., Deep Generative Models, TTS, ASR, NLU), or equivalent industry experience. Deep expertise in voice conversion, generative models, deep learning, or statistical modeling. Strong hands-on experience with 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 ❯

Machine Learning Engineer London (Hybrid) Up to £65,000 Greenfield work One of La Fosse’s best clients are currently seeking a talented ML Engineer for their greenfield AI team. Join a cutting-edge innovation department within a fast-paced financial environment, helping to shape the next generation of intelligent compliance tools. I’m looking for a Machine Learning … model development and GenAI summarisation pipelines to MLOps and multi-agent systems—with real-world impact on financial security and compliance. What You’ll Do: Develop and deploy machine learning models for anti-money laundering and counter-terrorist financing. Contribute to dynamic monitoring systems using tools like TensorFlow, OpenAI, and LangChain. Help design GenAI pipelines and consensus mechanisms across … . Requirements: 1–3 years of experience in ML or AI Proficiency in Python, SQL, cloud platforms (Azure), and modern ML frameworks (TensorFlow, PyTorch). Familiarity with generative AI, deep learning, and the full development lifecycle. A proactive mindset and strong interest in innovative technologies. Why Join? Be part of a greenfield AI initiative with high visibility Work More ❯

drive model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing … key performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to drive innovation. Your analytical rigor will be critical to advancing Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience … or analytics role, preferably within the AI/ML industry. Expert-level proficiency in Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and More ❯

for applying, adapting, and extending existing results in the broad field of machine learning. You will be apart of a highly unique research group across Natural Language Processing, Large Learning Models, deep learning, Bayesian & Signal Optimization with the exciting transition to the world of financial predication through the prism of machine learning. The most exceptional team members … combine strong technical skills and a passion for problem-solving with an intense curiosity about financial markets and human behaviour. About You: PhD or PhD candidate in machine learning, computer science, statistics, or a related field. Superb analytical and quantitative skills, along with a healthy streak of creativity. Demonstrated ability to conduct independent research utilizing large data sets. Curiosity More ❯

Team: Machine Learning Location: London (Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £60–70k 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 … every box – and that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally. Open-source: Contributions to and experience in open-source projects. Front-end: Experience with More ❯

About Us We are a VC-backed startup focused on behavioural AI, currently in stealth. We are building for retail with a focus on Recommendation Systems, Reinforcement Learning and Generative AI. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to build products that … customers love by harnessing cutting-edge AI to transform their shopping experience. About the Job We are looking for a Senior Research Engineer with experience in advanced machine learning systems to work with our team of industry leading domain experts and engineers to build foundation models for retail shopping. Key Responsibilities: Translate latest ML advances into impactful solutions, validate … their effectiveness, and deploy them to production systems. Innovate upon state-of-the-art ML research applied to consumer personalisation. Optimise machine learning models for performance in cloud environments (e.g., distributed clusters, GPUs). Essential Qualifications: 3-5+ years implementing applied machine learning research in a production setting MSc in Computer Science, Machine Learning, or a More ❯

Java Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science (big data, deep learning, machine learning) is beneficial Specific sports trading knowledge is beneficial but not essential If you feel you have the skills and experience required for this opportunity More ❯

tooling, and models that will drive alpha generation and risk management for years to come. As a Quant Developer, you will work at the intersection of quantitative research, machine learning, and software engineering. You'll collaborate with quants, data scientists, and portfolio managers to design and implement scalable systems for data ingestion, model training, and real-time signal deployment. … to architectural decisions and technology stack selection for the greenfield platform. Required Skills & Experience Strong programming skills in Python, with experience in production-grade systems. Solid understanding of machine learning workflows, including model training, validation, and deployment. Experience with quantitative finance, including time series analysis, alpha modelling, or risk analytics. Familiarity with cloud infrastructure (e.g., AWS, GCP) and containerisation … tools Experience working in fast-paced, collaborative environments with agile methodologies. Nice to Have Prior experience in a hedge fund, prop trading firm, or investment bank. Exposure to reinforcement learning, deep learning, or LLMs in financial contexts. Knowledge of market microstructure and execution algorithms. Contract Details Duration: 12 months Start Date: July 2025 Location: London (Hybrid working More ❯

Team: Machine Learning Location: London (Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £90–120k 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 … every box – and that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally. Open-source: Contributions to and experience in open-source projects. Front-end: Experience with More ❯