11 of 11 Deep Learning Jobs in Central London

Senior Machine Learning Scientist A fantastic opportunity for a Senior Machine Learning Scientist to work for a health-tech software company developing advanced machine learning models used within clinical research. The organisation applies modern machine learning techniques to complex medical datasets to support better understanding … patient outcomes and treatment response. This is a research-focused role, ideal for candidates who enjoy developing novel deep learning approaches and translating academic research into applied machine learning solutions. You will work on large-scale models and high-performance compute, with the opportunity to publish research ...

seeking a Senior Deep Learning Engineer to build the future of Embodied AI . This is a role for those who work 'in the weeds' of model architecture and training loops not API wrappers or prompt engineers. The Mission Architect Behavior: Own the development of motor policies using … weak-supervision , and curate high-quality datasets. Failure Analysis: Systematically identify and solve failure modes through retraining loops. Technical Requirements Experience: 3+ years in deep learning (shipped models, research papers, or major OSS). Domain Depth: Hands-on expertise in VLMs , Diffusion/Generative Video ...

Senior Machine Learning Engineer - London Join the analytics team as a Machine Learning Engineer in the insurance industry, where you'll design and implement innovative machine learning solutions. This permanent role in London offers an exciting opportunity to work on impactful projects in a forward thinking environment. … Client Details Senior Machine Learning Engineer - London This opportunity is with a medium-sized organisation in the insurance industry. The company is committed to utilising advanced analytics and machine learning to enhance its services and deliver value to its clients. Description Senior Machine Learning Engineer - London This ...

push the boundaries of AI integration in cloud services. Thought Leadership and Client Engagement • Provide architectural guidance to clients on incorporating GenAI and machine learning into their cloud[1]native applications and architectures. • Conduct workshops, briefings, and strategic dialogues to educate clients on AI benefits and applications, building strong … Technologies: Proficiency in Python, Java (and/or Golang), and Spring; expertise in AWS, Azure, Google Cloud; Kubernetes and containerization. • AI Expertise: Advanced machine learning algorithms, GenAI models (e.g., GPT, BERT, DALL-E, GEMINI), NLP techniques. • Big Data: Experience with Hadoop and Spark. • Ethics: Knowledge of AI ethics ...

insights and optimize the product experience. Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses. Build and scale machine learning algorithms and pipelines to production using big data technologies. Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications. Design and evaluate … advancements in data processing and AI/ML, and introduce best practices into the organization. Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field ...

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. … 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 ...

Reinforcement Learning (RL) Engineer Manipulation London Based (5 days in office) Competitive salary A high-profile robotics organization is urgently seeking a high-caliber RL Engineer (Manipulation) to join their London-based R&D team. This role is pivotal in bridging the gap between simulation and real-world application … behavior cloning. High-Performance Engineering: Designing and profiling research-grade PyTorch/JAX code to support large-scale, distributed RL infrastructure. Essential Skills Needed Deep Learning Mastery: 5+ years building and shipping models, with deep hands-on expertise in LLMs, VLMs, or generative architectures. Industry Experience: 3+ ...

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 ...

global community of developers and researchers. 🛠️ Skills and Experience 5+ years of experience in software engineering, with a strong focus on AI and Machine Learning (ML). Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience building and deploying applications with LLM APIs … Apple Display provided. Team: Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. ...

agents into real-world applications. • Write clean, efficient, and testable Python code. • (Optional) Apply data science techniques to train and fine-tune ML or deep learning models. Required Skills: • Strong proficiency in Python and related libraries. • Experience with agentic AI architectures and autonomous AI agents. • Hands-on experience ...

including 1000s of A100s), 100s of petabytes of storage, and almost 10 petabytes of RAM. This cutting-edge infrastructure supports state-of-the-art Deep Learning models that process trillions of data points, driving trading algorithms that handle $300 billion across 80+ exchanges daily. They ...