17 of 17 Deep Learning Jobs in the South East

Senior Quant Machine Learning Engineer sought by leading investment bank based in the city of London. **Inside IR35, 4 days a week on site** The role:To lead the design and deployment of ML-driven models across our trading and investment platforms. This is a high-impact, front-office role offering direct collaboration with traders, quant researchers, and technologists … pipelines and scalable model infrastructure for production deployment Mentor junior quants and engineers; contribute to knowledge-sharing and model governance processes Stay current with cutting-edge ML research (e.g., deep learning, generative models, reinforcement learning) and assess applicability to financial markets Collaborate closely with cross-functional teams, including traders, data engineers, and software developers What We're … hedge fund, or tech firm Advanced degree (PhD or Master's) in Computer Science, Mathematics, Physics, Engineering, or related discipline Strong expertise in modern ML techniques: time-series forecasting, deep learning, ensemble methods, NLP, or RL Expert-level programming skills in Python and strong understanding of software engineering best practices Experience deploying ML models to production in real More ❯

products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers … and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model … design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What More ❯

products, content and services millions of people love. And we do it all right here at Sky. What you'll be doing Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering … design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What … you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high More ❯

identify opportunities for AI integration and help turn complex concepts into real-world impact The Candidate Key attributes of the suitable AI specialist include: Strong technical grounding in machine learning, deep learning, and AI tool implementation – Python, R, Java, etc. Proactive, curious mindset with a passion for applying AI to solve real-world business challenges. Excellent communicator More ❯

identify opportunities for AI integration and help turn complex concepts into real-world impact The Candidate Key attributes of the suitable AI strategist include: Strong technical grounding in machine learning, deep learning, and AI tool implementation Proactive, curious mindset with a passion for applying AI to solve real-world business challenges. Excellent communicator, able to translate complex More ❯

Machine Learning/Data Engineer £700-750/day overall assignment rate to umbrella Fully remote 3-6 month initial Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth. With 40% of sales from sustainable products, this is a company … that combines scale, innovation and purpose. As a Machine Learning Engineer, you'll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal if you excel at investigating and debugging complex data flows and ML issues in live production environments. We're looking … for individuals with: Experience: Proven background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). Expertise: Solid understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong More ❯

the UK, 1 in Japan, and 1 in Seattle to build the future of advanced metal components. To do this it uses proprietary software packages which combine advanced machine learning and physical modelling to invent better alloys, devise better ways to process them, and design better 3D-printed components. Responsibilities Design, develop and validate novel machine learning models … optimize manufacturing processes and material composition Collaborate closely with process engineers, material scientists and other domain experts to identify and engineer the most meaningful features Develop Alloyed’s machine learning platforms to facilitate adoption and application of validated models Work as part of a fast-paced, agile development team Identify and prioritize opportunities to rapidly deliver new capabilities Build … and model governance Essential Skills Bachelor’s degree in science, engineering, mathematics or computer science (2:1 minimum) Strong python development skills Practical experience in the development of machine learning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker) A 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 ❯

As a Computer Vision and Machine Learning Engineer, you will: Explore and experiment with emerging technologies to continuously improve our AI-driven content reconstruction, creation and edition processes. Review the state of the art computer vision research papers and develop prototype solutions. Develop cutting-edge software and algorithms for computer vision, image processing and deep learning models … Fields (NERF) or Gaussian Splatting techniques. Desirable Skills Demonstrated experience in: Generative AI, including hands-on implementation of state-of-the-art models. 3-D vision Developing with machine learning frameworks – Tensorflow/Pytorch Model optimization and knowledge distillation. Strong fundamentals in machine learning, NLP and Computer Vision Publications in top ML/AI conferences/journals (e.g. 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 ❯

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 ❯

providing technical guidance and mentorship. Oversee project delivery, ensuring quality, performance, and timely execution. Collaborate with GNC, Software, and Systems teams across multiple mission projects. Foster innovation and continuous learning within a collaborative engineering culture. Technical Responsibilities Design and implement computer vision modules for spacecraft navigation and autonomy. Develop and benchmark algorithms for pose estimation, tracking, and visual perception. … implementation. 3+ years leading or mentoring a technical team. Strong programming skills in Python, C/C++, or Matlab, with experience in OpenCV, TensorFlow, or PyTorch. Solid understanding of deep learning, sensor fusion, and image-based navigation. Familiarity with version control (Git) and modern software development practices. A passion for space systems and a desire to shape the More ❯

connect with me on LinkedIn, just search Dominic Barbet. I look forward to hearing from you. DATA SCIENTIST KEY SKILLS: PRINCIPAL DATA SCIENTIST/LEAD DATA SCIENTIST/MACHINE LEARNING/ML/NLP/NATURAL LANGUAGE PROCESSING/DEEP LEARNING/DATA SCIENCE/LSTM/LONG SHORT TERM MEMORY/CNN/COGNETIVE NEURAL NETWORKS … CLOUD INFRASTRUCTURE/ARTIFICIAL INTELLIGENCE/INNOVATION/SECURITY CLEARANCE/DV CLEARED/SC CLEARED/SC CLEARANCE/SECURITY CLEARANCE/DV CLEARANCE/DEVELOPPED VETTING/DEEP VETTING/DEVELOPPED VETTED More ❯

a meaningful impact worldwide. Client Details This organisation specialises in advanced neural machine translation, offering one of the most accurate and natural-sounding language tools available. Its technology leverages deep learning to deliver high-quality translations across dozens of languages, with a strong emphasis on preserving context and nuance. The platform is widely used by individuals and businesses … accuracy, and stylistic quality Profile A successful Interim Japanese Specialist should have: MA degree in linguistics, language or related field. Has at least 2 years of professional translation experience Deep understanding of Japanese language and cultural nuances Familiarity with various English dialects and their distinctions Fluent in American English, both written and spoken Strong analytical skills in morphology, syntax More ❯

of Senior Full Stack Systems Developer include: Experience of developing software products for use within a Water/Hydrological Environment (e.g. flood risk and mitigation, etc.) Prior experience with 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 More ❯

Stack Systems Developer include: Experience of developing software products for use within a Water/Hydrological Environment (e.g. flood risk and mitigation, water quality testing, etc.) Prior experience with 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 More ❯

of Senior Full Stack Systems Developer include: Experience of developing software products for use within a Water/Hydrological Environment (e.g. flood risk and mitigation, etc.) Prior experience with 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 More ❯