1 to 25 of 48 Deep Learning Jobs

community. Please do not contact the recruiter directly. The Fitch Group Emerging technology AI Center of excellence (COE) group is seeking a principal machine learning or AI engineer to be part of a team that will be dedicated to build and support Generative AI, Machine learning, Deep Learning and Data science solutions across the organization. The position will be based out of our London or Manchester office. Specific Emerging Technology team objectives are: Gen AI/ML technology implementation with business and product owners Emerging Tech Governance function covering policies, guidelines and processes to govern ...

Senior Computer Vision Engineer - Deep Learning Salary: £70,000 to £95,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time. Contract opportunities may also be considered. MFK Recruitment is recruiting a Senior Computer Vision Engineer … innovative UK technology company working at the forefront of computer vision, perception and autonomy. The company develops advanced Artificial Intelligence and Machine Learning technology for defence, security and other demanding real-world environments. Its work combines machine vision, deep learning and neuroscience-inspired approaches to create ...

making) Academic background in computer science, mathematics, statistics, econometrics, or related fields Developing an interdisciplinary research agenda in AI, covering topics such as: Machine Learning: supervised, unsupervised, and reinforcement learning Deep learning: neural networks, representation learning, generative models AI Systems: model deployment, evaluation, and lifecycle … research grants) Experiences in collaboration with industry would be an advantage Responsibilities Provide university-wide teaching, e.g., courses like: Introduction to Artificial Intelligence Machine Learning Deep Learning and Generative AI AI Systems and Model Deployment Explainable AI and Responsible AI Human-AI Interaction and AI in Society ...

Location: London, Amsterdam or Remote About the Role: Senior Deep Learning Researcher with a strong background in ML, mathematical statistics, and modern DL architectures . You will contribute to cutting-edge research in foundational models, including LLMs, multi-modal, multi-domain, and continual learning frameworks . … Mathematics, or a related field . Published research in A conferences (ICML, NeurIPS, ICLR, AAAI, KDD). Hands-on experience with deep learning architectures and foundational models . Strong programming skills ( Python preferred ). Whilst we carefully review all applications, to all jobs, due to the high volume ...

complex, high-performance engineering systems. You will join a specialist image processing team, working on cutting-edge technologies that combine imaging, computer vision, machine learning and signal processing. Your work will help shape technical solutions, influence design decisions and turn innovative research into practical engineering applications. What you will … doing Researching, developing and evaluating image processing and computer vision algorithms. Applying AI and deep learning techniques to complex technical challenges. Developing solutions for image segmentation, object detection, tracking and classification. Exploring techniques such as optical flow, pose estimation, particle filtering and computational imaging. Working with MATLAB, Simulink ...

Pipelines, Production Deployment Role Opportunity This is a long-term engagement with a leading Consultancy supplying into the Public Sector for an experienced Machine Learning Engineer with SC Clearance. Key Responsibilities: Develop and optimise ML models for personalisation and recommendations Build scalable data pipelines and feature engineering workflows Deploy …/B testing and experimentation to improve model performance Collaborate with cross-functional teams to deliver ML solutions Evaluate and apply emerging ML and deep learning techniques Key Skills Required: Machine Learning/Deep Learning Recommendation & Personalisation Systems Data Pipelines & Feature Engineering MLOps & Production Deployment ...

platforms such as Langfuse or equivalent approved tooling for LLM tracing, debugging, prompt and response analysis, observability, evaluation workflows, and production monitoring. Supports Machine Learning Operations, Large Language Model Operations, continuous integration and delivery, model monitoring, observability, and operational support practices. Collaboration & Stakeholder Engagement Collaborates with Product Management & Experiences … initiatives that advance AI capabilities, governance, adoption, product innovation, and operational excellence. Requirements Minimum Education & Experience PhD in Computer Science, Artificial Intelligence, Machine Learning, Computational Biology, Statistics, Engineering, or related discipline with 4+ years of relevant industry experience. MS in a related discipline with 8+ years of relevant experience. ...

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial Working with a FTSE 100 retail client who looking for 2x Machine Learning Engineers to expand their existing engineering team - this will be to support the delivery of advanced AI solutions. … requirement is for talented Machine Learning Engineers with excellent Python development skills and the ability to take ownership of the entire machine learning lifecycle. The successful candidate will be responsible for building, training and deploying machine learning models for end users, while also investigating, preparing and transforming ...

agentic coding workflows. Advisory & Strategy: Provide technical consulting on AI product development, helping clients understand the distinction between standard ML and agentic AI. Continuous Learning: Stay updated with the latest trends in the AI engineering field, such as the modern AI stack, synthetic data generation, and Explainable AI. … serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation), statistical analysis, and knowledge graphs. Deep Learning: Familiarity or experience with Deep Learning (TensorFlow, PyTorch). Benefits Package and Benefits: Competitive Salary Bonus Scheme Private Healthcare Insurance ...

Machine Learning Researcher A fantastic opportunity for a Machine Learning Researcher with a strong academic background and a particular interest in Large Language Models. You will help develop practical AI applications, from early research and experimentation through to implementation, working with software engineers to bring ideas into real … benefits. A salary of £60,000 is available for a recent PhD graduate, with higher salaries for candidates with relevant experience. Requirements for Machine Learning Researcher: PhD in Machine Learning or a related discipline A strong academic record Experience using PyTorch LLM-focused experience through research, academic projects ...

LGBTQ+ business community. Please do not contact the recruiter directly. Accepting applications until: 13 November 2026 Job Description Your New Role : Senior Machine Learning Engineer Global's Data team is looking for a Senior Machine Learning Engineer to build, deploy and scale machine learning solutions-turning data … science ideas into robust, production-grade products. As a Senior Machine Learning Engineer at Global, you'll support use cases across DAX, our digital ad exchange-such as the cross-device audience identity graph and real-time targeting algorithms. You'll join a high-performing, cross-functional DAX squad ...

solve complex problems, generate recommendations, extract patterns, make predictions, and enable self-service capabilities. The role involves working across generative AI, natural language processing, deep learning, cognitive automation, intelligent process automation, and related AI technologies, with a strong emphasis on production software engineering, scalability, safety, evaluation, and observability. … hybrid retrieval, and reranking. Build data-driven applications that translate data into actionable intelligence through large-scale experimentation. Develop innovative applications using generative AI, deep learning, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants, and specialized programming. Research and optimize ...

research prototypes using real-world data and operationally relevant problem statements. Investigate, design, implement and evaluate advanced AI methods, including but not limited to deep learning, multimodal AI, self-supervised learning, foundation models, generative AI, computer vision, NLP/LLMs, time-series analytics and reinforcement learning … Thales governance requirements. Create proofs of concept, publications, invention disclosures, patents, technical reports and reusable research assets around advanced AI topics such as multimodal learning, self-supervised learning, foundation models and human-AI collaboration. Package research outputs in a form that enables transition to AI engineering teams, including ...

span a wide range of AI and automation tools, including Virtual Assistants, Robotic Process Automation (RPA), Computer Vision, Natural Language Processing (NLP), Machine Learning, Deep Learning, Generative AI, Frontier LLMs, and Predictive AI. A strong candidate would have experience/exposure to nuances of these tools/ ...

span a wide range of AI and automation tools, including Virtual Assistants, Robotic Process Automation (RPA), Computer Vision, Natural Language Processing (NLP), Machine Learning, Deep Learning, Generative AI, Frontier LLMs, and Predictive AI. A strong candidate would have experience/exposure to nuances of these tools/ ...

Bioinformatician Are you a talented Bioinformatics Scientist with a passion for data science, machine learning, and genomics? We are seeking an ambitious and highly motivated individual to join an innovative research and technology team developing cutting-edge solutions in the field of functional genomics. This is an exciting opportunity … Responsibilities Lead statistical and bioinformatics analysis projects, delivering meaningful insights from complex biological datasets. Develop and enhance statistical methodologies and computational algorithms. Apply machine learning and artificial intelligence techniques to research and product development initiatives. Collaborate closely with laboratory scientists to support experimental design, data analysis, and interpretation. Analyse ...

Data Science & AI Consultant to work on complex, mission-focused programmes. This is an opportunity for a hands-on data science, machine learning or AI professional to work on projects where advanced technology can support better decision-making and improved operational outcomes. The Role You will work as part … Generative AI and Agentic AI , as well as contributing to client strategy and the development of future opportunities. Key Responsibilities Apply data science, machine learning and AI techniques to complex client challenges Explore data and develop models, prototypes and AI-enabled solutions Support the development and evaluation of solutions ...

days onsite) | BPSS Required We're looking for an experienced ML Engineer to join a high-profile programme focused on delivering advanced machine learning and personalisation solutions at scale. This is an excellent opportunity to work with large datasets, cutting-edge ML technologies, and cross-functional teams to build … impactful customer-facing products. Key Responsibilities Design, build, train and optimise machine learning models focused on personalisation, recommendation engines, ranking algorithms, user segmentation and content analysis. Develop and maintain scalable data pipelines to support feature engineering, model training and deployment across large structured and unstructured datasets. Deploy, monitor ...

days onsite) BPSS Required We're looking for an experienced ML Engineer to join a high-profile programme focused on delivering advanced machine learning and personalisation solutions at scale. This is an excellent opportunity to work with large datasets, cutting-edge ML technologies, and cross-functional teams to build … impactful customer-facing products. Key Responsibilities Design, build, train and optimise machine learning models focused on personalisation, recommendation engines, ranking algorithms, user segmentation and content analysis. Develop and maintain scalable data pipelines to support feature engineering, model training and deployment across large structured and unstructured datasets. Deploy, monitor ...

days onsite) BPSS Required We're looking for an experienced ML Engineer to join a high-profile programme focused on delivering advanced machine learning and personalisation solutions at scale. This is an excellent opportunity to work with large datasets, cutting-edge ML technologies, and cross-functional teams to build … impactful customer-facing products. Key Responsibilities Design, build, train and optimise machine learning models focused on personalisation, recommendation engines, ranking algorithms, user segmentation and content analysis. Develop and maintain scalable data pipelines to support feature engineering, model training and deployment across large structured and unstructured datasets. Deploy, monitor ...

days onsite) | BPSS Required We're looking for an experienced ML Engineer to join a high-profile programme focused on delivering advanced machine learning and personalisation solutions at scale. This is an excellent opportunity to work with large datasets, cutting-edge ML technologies, and cross-functional teams to build … impactful customer-facing products. Key Responsibilities Design, build, train and optimise machine learning models focused on personalisation, recommendation engines, ranking algorithms, user segmentation and content analysis. Develop and maintain scalable data pipelines to support feature engineering, model training and deployment across large structured and unstructured datasets. Deploy, monitor ...

internal Team, as senior Lead, for technical competence Production Experience-To ensure code development & deployment in production Core Technical Skills Strong experience in: Machine Learning & Deep Learning frameworks (TensorFlow, PyTorch, etc.) Generative AI & LLM ecosystems (OpenAI, Hugging Face, LangChain, etc.) Agentic AI/Multi-agent system design ...

surveillance applications. Objectives of this Role: Apply passions and interests in software defined radio, digital signal processing, wireless communications, signal modulation, or machine learning in support of defense and intelligence applications. Collaborate with multidisciplinary team of engineers and software developers to solve challenging signal processing problems. Serve the team … refine innovative solutions and algorithms for automatic detection, recognition, demodulation, decoding, and geolocation of communication and electronic signals, to include the application of machine learning techniques. Design, develop, integrate, test, and deploy signal processing capabilities for applications in specialized radio communication, radiolocation, and electronic warfare programs. Assist with research ...

within Wise's FinCrime organisation, owning the full ML and AI foundation for financial crime detection. We're have three dedicated pillars - Feature Platform, Learning Loop and Risk Modelling. You'll lead the Risk Modelling pillar, leading a team of Senior ML Systems Engineers and Applied ML Engineers. … make architecture-level decisions with incomplete information - this is a greenfield build, not an optimisation role Strong enough technically to guide and review across deep learning, ML systems and production infrastructure - you lead through depth, not just delegation Nice to Have: Experience at a tier-1 fintech ...

Hiring: Python Developer Machine Learning Location: Salt Lake City, UT Onsite Duration: Long-Term Contract Interested candidates send me their updated resume, current location, work authorization, expected rate, contact number, and LinkedIn profile to . Must Have: Strong Python development experience for high-performance, data-intensive applications Experience with … Machine Learning/Deep Learning Strong hands-on experience with PyTorch, TensorFlow, or JAX Experience with Pandas and statistical model evaluation Production ML model deployment, monitoring, and maintenance Experience with LLMs, Recommender Systems, or Operations Research Experience working with text, voice, image, and tabular datasets Strong understanding ...