26 to 50 of 63 Deep Learning Jobs in the UK

that drive measurable impact across Modaxo’s portfolio companies and have a positive effect on their clients and product end users. This role requires deep technical expertise in practical AI/ML, combined with a strong understanding of business-building, particularly financial drivers. The ideal candidate will have experience … group of companies, including: Computer Vision (object detection, image segmentation, anomaly detection, text extraction). Scheduling & Planning (resource allocation, constraint optimization, fleet routing). Deep Learning & LLMs (transformers, reinforcement learning, generative AI for a range of text-based applications). Predictive Analytics (time-series and demand forecasting ...

results into proof‐of‐concepts and demonstrators Ensure high research quality through reproducibility and documentation Required Skills PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field Demonstrated research background in AI/ML, particularly in LLM or agentic AI, with either publications, preprints … patents Excellent programming skills in Python, with experience in research‐oriented code development and version control (git) Experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow) Strong foundation in experimental design, statistical analysis, and model evaluation Ability to effectively communicate complex research ideas to both ...

Vəzifə öhdəlikləri Maşın öyrənməsi (Machine Learning) və dərin öyrənmə (Deep Learning) modellərinin hazırlanması və optimallaşdırılması AI əsaslı tətbiqlərin (chatbot, recommendation system və s.) dizaynı və inkişafı Böyük həcmli məlumatların (Big Data) emalı və analizi NLP (Natural Language Processing) və ya Computer Vision layihələrinin hazırlanması Model performansının ölçülməsi ...

What you will do as a Senior ML Engineer Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics. Own the ML lifecycle from data preparation through training, evaluation, and deployment. Implement and maintain MLOps workflows for continuous integration and delivery of ML models. Collaborate … best practices across the team. Support innovation by researching emerging ML techniques and tools. What you’ll bring Proven experience developing and deploying machine learning models in production environments. Proven experience with the OpenCV framework and various object detection models, including YOLO, RCNN, and Vision models, along with ...

millions of customers. As we build a modern, ambitious analytics capability, we’re looking for a Lead Data Science Engineer who can combine deep technical expertise with strong communication and leadership skills. This is an opportunity to lead thinking, influence decisions, and bring advanced analytics, machine learning … you. The role Leading the discovery of opportunities where advanced analytics can deliver measurable value across the business. Designing, building and deploying statistical, machine learning and deep learning models that improve performance, efficiency and safety. Engineering and manipulating large, complex datasets using platforms such as Azure ...

intricate business challenges and translation into technical problem statements.. Working with diverse datasets, both internal and external.. Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact.· Provide hands-on technical mentorship and guidance to junior and mid-level … Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction.· Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures.· Practical experience with, or demonstrable capability ...

with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered products. … looking for candidates that can combine technical expertise with a true consulting approach. Responsibilities Design, develop, and implement advanced machine learning models and AI capabilities Build and maintain knowledge graphs and causal inference systems Create probabilistic models to address complex business problems Scale AI solutions from proof-of-concept ...

work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration.**About the Role**As a **Senior Principal Data Scientist**, you will contribute deep technical expertise while helping shape best practices across … apply advanced analytics to real‐world problems.### **Responsibilities:*** **Technical Leadership** Act as the go-to expert for **state-of-the-art** advanced analytics, machine learning, and generative AI. Define and evolve best practices for complex modeling and design problems, ensuring scalability, robustness, and performance. Provide thought leadership on emerging ...

design. What You'll Be Doing Lead technical project delivery and shape data science strategy across multiple client engagements Define and implement bespoke machine learning algorithms to solve real-world defence problems Guide technical scoping and planning, working closely with stakeholders to ensure feasibility and impact Mentor and support … data science or a quantitative field Proficient programming skills (Python preferred); familiarity with core data science libraries (NumPy, Pandas, Scikit-Learn) Experience with deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science methods (e.g. ...

gain exposure across the full data science lifecycle, from problem exploration and data preparation through to model development, evaluation, and deployment, supported by structured learning and mentoring. What you will do Support client engagements by analysing data, exploring patterns, and helping frame business and analytical problems. Assist in developing … evaluating statistical models, machine learning solutions, and AI‐enabled analytics. Contribute to the design and delivery of data science solutions alongside senior data scientists and data engineers. Prepare data, features, and documentation to support reproducible and well‐governed analytics. Communicate findings clearly within project teams and support the translation ...

across multiple projects simultaneously and adapting to varied technical challenges Collaborating with multidisciplinary engineers to integrate software with hardware, sensors, and complex systems Rapidly learning and applying new technologies, tools, and approaches Contributing to problem-solving throughout the entire development lifecycle Supporting software used to control hardware platforms, custom … technologies quickly Working knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, optimisation, statistics, or algorithm development Experience developing mobile applications (iOS or Android) Suitable for both ...

Data & ML Engineer to deliver high-impact solutions across enterprise clients. This is a hands-on engineering role where youll design pipelines, deploy machine learning models, and help shape modern AI-driven systems. What youll be doing Build and optimise data pipelines and ML workflows Develop and deploy … models (NLP, deep learning, AI applications) Work with streaming and batch data pipelines across cloud platforms Implement CI/CD and MLOps frameworks Collaborate with cross-functional teams to deliver data-driven solutions Support data modelling, governance, and quality initiatives What were looking for Experience with Python ...

Lead AI Engineer you will architect AI solutions, embed them within enterprise environments and drive impactful outcomes through advanced engineering, scalable pipelines and deep cross-functional collaboration. This is a highly technical role where you'll be leading client projects, productionising systems and running multi-modal LLMs, using your … bachelor's degree in Computer Science, AI or related STEM disciplines Experience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniques Apply now to find out more about this Lead AI Engineer (Python ...

initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data scientists … strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production Experience: Demonstrated experience deploying real-world AI solutions at scale; purely academic or research backgrounds will ...

initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data scientists … strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production Experience: Demonstrated experience deploying real-world AI solutions at scale; purely academic or research backgrounds will ...

initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data scientists … strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production Experience: Demonstrated experience deploying real-world AI solutions at scale; purely academic or research backgrounds will ...

level. You might be a graduate with a year or two of experience, a Python developer who has started moving into AI, a Machine Learning Engineer, or a Data Scientist with stronger engineering habits. They are not expecting someone to have ten years of LLM experience, because realistically very … learn quickly and work out the right way to use new technologies It would also be useful if you had experience with JavaScript, deep learning, LangChain, LlamaIndex, Azure OpenAI, OpenAI APIs or similar tools, but none of these are absolute requirements. The most important thing is mindset. They ...

level. You might be a graduate with a year or two of experience, a Python developer who has started moving into AI, a Machine Learning Engineer, or a Data Scientist with stronger engineering habits. They are not expecting someone to have ten years of LLM experience, because realistically very … learn quickly and work out the right way to use new technologies It would also be useful if you had experience with JavaScript, deep learning, LangChain, LlamaIndex, Azure OpenAI, OpenAI APIs or similar tools, but none of these are absolute requirements. This is probably best suited to someone ...

stakeholder communication, problem-solving and project management skills in Agile environments Experience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniques Apply now to find out more about this Senior AI Engineer (Python ...

level features at genome and transcriptome level. We’re a tight crew of builders and operations working at the cutting edge of healthcare reinforcement learning and agentic AI, and we’re looking for exceptional people to join us. If you want your skills to have the highest possible stakes … belong at Anima. Your work here will save lives. Period. Long before the "vertical AI" craze, we were obsessed with active reinforcement learning—a niche field in 2021 that the world, pre-ChatGPT, largely ignored. Our trajectory has been unwavering since our YC application: achieving the "holy grail ...

preprocessing to ensure high-quality inputs for ML models. Model Development: Select and train appropriate architectures (BERT, GPT, etc.) using supervised, unsupervised, or reinforcement learning strategies. Prompt Engineering: Design, test, and iterate on complex prompts to elicit high-quality responses from LLMs while mitigating unintended behaviors. Evaluation & Optimization: Define … establish automated monitoring systems to track drift and performance. Technical Requirements Core AI/ML: Strong experience in ML algorithms, LLM architectures, and deep learning frameworks. Generative AI: Proven expertise in Prompt Engineering and fine-tuning pre-trained models. Engineering: Proficiency in Python and experience designing data pipelines ...

project delivery, stakeholder engagement, and supporting the development of others. For those at **Consultant** level, the role offers strong exposure to client work, learning from experienced practitioners, and a clear pathway for progression.We value curiosity, collaboration, and a growth mindset, and we encourage applications from candidates … Expert** – Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models.* **CX Data Experience** - Hands-on experience in customer behaviour analytics, marketing, commercial ...

Working closely with the founders, you will influence both the technical roadmap and future diversification into new application areas. Key responsibilities include: Developing machine learning and computer vision models focused on human attention, perception, and intent Designing and running experiments independently across visual and spatial data Working with multimodal … academic venues while working on applied problems Your Skills and Experience PhD or near completed PhD, or equivalent research experience, in computer vision, machine learning, neuroscience, cognitive science, robotics, HCI, or a related field Strong publication record, ideally at venues such as CVPR or ICCV, or equivalent research output ...

forefront of innovation, AI adoption, and digital transformation within the legal sector. Recognized for its collaborative culture, inclusive environment, and commitment to continuous learning, the firm combines world-class legal expertise with cutting-edge technology to deliver exceptional client outcomes. The role The company are looking for an experienced … systems. Responsibilities Lead delivery of AI, NLP, and GenAI initiatives across legal and business functions. Develop solutions using LLMs, semantic search, RAG pipelines, and deep learning models. Build scalable Python-based data and NLP pipelines for structured and unstructured content. Partner with engineering, legal, and business teams ...

Expert – Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models. CX Data Experience - Hands-on experience in customer behaviour analytics, marketing, commercial … oral presentation skills, that engages internal and external audiences Innovative Mind - A strong interest and experience with the latest advancements in data, AI, machine learning, and data science space If this sounds like you, please do get in touch for a confidential discussion to find out more. ...