51 to 75 of 124 Permanent Deep Learning Jobs

interim Head of Architecture to lead their technical efforts in the field of generative AI and Machine Learning. The ideal candidate will possess a deep understanding of advanced GenerativeAI architectures, frameworks, and algorithms, along with a proven track record of leading successful technical teams in the development of innovative … strategic leadership and guidance in the design and development of advanced GenAI architectures and solutions. Define and evolve the architecture of GenerativeAI and machine learning platforms, ensuring alignment with business objectives, scalability, and performance requirements. Stay abreast of the latest advancements in GenAI research and technology trends, and leverage … partners, to communicate technical vision, gather feedback, and drive alignment on strategic initiatives. Qualifications: Master's or Ph.D. in computer science, artificial intelligence, machine learning, or a related field. Experience in designing and implementing complex AI architectures, including deep learning, reinforcement learning, and other generative AI more »

targets and pertinent datasets. Conducting preliminary research to evaluate the feasibility and potential success of identified targets. Engineering and constructing sophisticated, production-ready machine learning algorithms integral to daily trading decisions and operations. Key Qualifications: Extensive expertise in implementing deep learning and advanced machine learning techniques more »

Data Engineer – Machine Learning Hybrid working - London offices We are seeking a talented Data Engineer/Machine Learning Engineer to join an established business who leverage Data and Data Science methods to effectively improve their business decision making and customers product development. The Data Engineer will be involved … in developing, testing, and deploying machine learning and data science models. Experience with relevant technology such as the Python ecosystem, Deep Learning algorithms in Ecommerce or Retail environments is desirable. Responsibilities: The role will remain hands-on, so will develop AI/ML software products using Python. … similar role, Data Engineer, ML Engineer, etc Extensive commercial experience with Python and relevant ecosystem; Pandas, Tensorflow, etc Commercial experience delivering AI/Machine Learning algorithms Commercial experience with cloud computing platforms - GCP or AWS ideally Comfortable working in cross functional teams to set timescales The business support hybrid more »

our user base, in addition to developing, training, and testing AI models. There will be opportunities to get involved with state-of-the-art deep learning research thanks to our partnership with the University of Cambridge and also UI/UX design and frontend development if desired. Qualifications … software development life cycle (SDLC), agile methodologies, and DevOps practices. Experience with version control systems, preferably Git. Desirable Extras Knowledge and understanding of machine learning methods for coordinating with the rest of the team. Familiarity with, or desire to build skills in manufacturing processes like 3D printing, CNC machining more »

adaptable and able to demonstrate that you have: A PhD or similar Post-Graduate qualification in a relevant field Experience with one or more Deep Learning framework (PyTorch preferred) for Graph-based AI High proficiency in one or more programming languages (Python preferred) A track record of writing … academic publications Excellent written and verbal communication skills The following skills are desirable: -Large scale/parallel computing -Multi-modal or explainable machine learning methods -Working with knowledge graphs and graph databases Achieve together We want the best people on our team, so we welcome and encourage applications from more »

development process. Requirements: - Strong experience in AI-led projects, preferably within the Defence/Security sector. - Proficiency in AI technologies, for example LLM's, deep learning and natural language processing. - Expertise in programming languages such as Python and Java with a focus on AI application development. - Familiarity with more »

Machine Learning Engineer at Cerberus Capital Management As a machine learning engineer on our CTS team, you will contribute to the firm’s objectives by designing, implementing and deploying tools and solutions for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment analysis, and … other machine-learning techniques for pattern recognition and statistical modeling. You may also participate in due diligence analyses of future investments, or evaluate 3rd party solutions and cloud-based tools for client adoption. Cerberus Capital Management (CCM) is a private equity firm with partial or full ownership stakes in … together with clients to identify business opportunities and create new business value through improved data handling and analysis. Responsibilities: Build predictive models using machine-learning techniques that generate data-driven insights on modern data platforms (Spark, Hadoop and other map-reduce tools); Develop and productionalize containerized algos for deployment more »

and deployed. Initially our focus is small scale production. You will be highly proficient in coding in Python and have proven experience in machine learning/deep learning. You’ll have the skills to build scalable ML applications by yourself and deploy these applications in the cloud as … a hybrid working arrangement. What we are looking for: Approx. 3+ years industry experience in software engineering Solid software design principles Understanding of machine learning Knowledge of common software engineering best practices e.g. test-driven development, version control, CI/CD, containerisation Strong Python skills, including production-level experience … Some knowledge of AI and machine learning, with a focus on Generative AI and Large Language Models (LLMs). Experience implementing microservice architectures Experience with at least one common cloud provider (AWS, GCP, Azure) Desirable: Experience in AI-focused software development, especially with LLMs. Comfortable working with classic ML more »

the ability to drive innovation with autonomy and exceptional technical acumen. The ideal candidate will be a visionary in the Artificial Intelligence and Machine Learning landscape, adept at identifying and capitalizing on emerging trends to shape our strategic direction. Core Responsibilities : Serve as a thought leader in AI , forecasting … within our offerings, crafting scalable technological frameworks. Maintain an unwavering commitment to professional growth , mastering the latest in Generative AI, Natural Language Processing, and Deep Learning. Mentor and coach junior engineers to enhance their technical skills, fostering a culture of continuous learning and professional growth. Collaborate closely with more »

in fields such as autonomous driving, medicine, space, or robotics. Responsibilities: Apply knowledge in AI techniques such as knowledge representation, automated planning, decision making, deep learning, and probabilistic methods for uncertain reasoning. Utilize industrial experience and background to contribute to the development of AI systems in various domains … related field; Master's or Ph.D. preferred. Solid knowledge and expertise in AI techniques, with a focus on knowledge representation, automated planning, decision making, deep learning, and probabilistic methods. Proven industrial experience in fields such as autonomous driving, medicine, space, or robotics. Familiarity with system design processes supporting more »

AI/Python/Data scientist/Machine Learning Engineer/Neural Networks/Deep Learning/LLMs Role: Lead Data Scientist Location: Remote - Occasional Meetings in London (Client) Company: AI Analytics Start-Up Salary: up to £130,000 + Bonus Projects: Neural Networks, NLP, Machine Learning, Deep Learning Responsibilities Analyse raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Lead a small team of data scientist on Neural Networks LLMs (CNN … RNN), ML, & NLP NLP/AI/ML/Spark/Python/Data scientist/Machine Learning Engineer/OCR/Deep Learning Requirements Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) Experience with applied Neural Networks (CNN & RNN more »

winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni uses conversational analytics to empower businesses to achieve exceptional productivity and compliance outcomes. Purpose … LLMs for Financial Services in the UK, working on the different stages of the LLM lifecycle. Lead architectural design of scalable data and machine learning pipelines alongside implementation. Ensure that all code is production-ready. Collaborate with stakeholders, business analysts, AI researchers and the wider Aveni team throughout the … equivalent industry experience. Your research background will be complemented by substantial experience in implementing and leading projects focused on Large Language Models (LLMs) and deep learning architectures. You thrive in dynamic environments, embracing the challenge of revolutionising NLP applications within the Financial Services sector. You possess extensive expertise more »

ECOM are partnered with an exciting software development company based in Manchester who are looking for a Senior Machine Learning Engineer. You will join an innovative technology company at the forefront of machine learning and artificial intelligence solutions. As a Senior Machine Learning Engineer, you'll be … part of a dynamic team dedicated to pushing the boundaries of AI technology and creating impactful solutions. Role Overview: Seeking a talented Senior Machine Learning Engineer to lead the development and implementation of advanced machine learning models and algorithms. As a key member of our team, you will … work on challenging projects, leveraging your expertise in machine learning to drive innovation and solve complex problems. Responsibilities: - Design, develop, and deploy machine learning models and algorithms to address business challenges and opportunities. - Collaborate with cross-functional teams, including software engineers and data scientists, to integrate machine learning more »

winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to drive unprecedented efficiency and oversight. We’re using … Your experience extends to selecting appropriate model architectures, hyperparameters, and training strategies. Proficient in Python, you possess strong knowledge of data science libraries and deep learning frameworks. You are adept at handling unstructured data and applying advanced algorithms to extract meaningful insights. Your familiarity with software development best … algorithms, with good experience handling unstructured data. Sound knowledge and experience of core Python, data science libraries such as Numpy, Pandas and Scipy and deep learning frameworks Keras, TensorFlow and/or PyTorch. Strong analytical and problem-solving skills, with the ability to tackle complex challenges in NLP more »

2023. Your Role As our Senior Engineer (ML Inference), you will take a leading role within your team to develop and deploy efficient machine learning models enabling new behavioural capabilities and improvements in Oxa Driver™, while remaining aligned to business needs and long-term architectural strategy. You will also … and resolved, and drive improvements to product quality, customer experience, and maintainability. You Will Drive the development of performant C++ inference APIs for machine learning models supporting motion planning, and their integration into Oxa Driver™ across multiple platforms. Deploy models to NVIDIA hardware, writing custom C++ and CUDA code … succeed: Degree in Computer Science, Robotics or a related field (e.g., Engineering, Physics, Mathematics). Previous years of relevant professional experience developing and deploying deep learning models in C++ applications. Experience working with modern deep learning frameworks and runtimes (e.g., PyTorch, TensorFlow, ONNX, TensorRT). Experience more »

product and engineering teams across the globe. The Intelligent Systems team is at the forefront of driving innovation through cutting-edge data science, machine learning, and generative AI technologies. As a crucial part of our organization, this team is poised for substantial growth in the coming year and beyond. … development life cycle. Automating quality assurance processes and cloud resource allocation in software development. Requirements PhD or advanced Masters in Statistics, Computer Science, Machine Learning & AI, Mathematics, or Physics. Hands-on experience in at least three of the following areas: Generative AI, Supervised and Unsupervised Learning, Deep Learning, Computer Vision, Recommendation Systems, Knowledge Graphs, Probabilistic Inference, Bayesian Statistics, Reinforcement Learning. Strong industry experience, with a focus on taking concepts and models from conception to production and quantifying business impact. Proficiency in Python programming. Expertise in GIT and the data science Python stack. Experience with real more »

last Series C funding round in January 2023. Your Team You will join a growing team of computer science and robotics experts leveraging machine learning, data and cloud infrastructure to build and deploy powerful on-vehicle reasoning capabilities. Your work will enable Oxa Driver™ to plan and execute sophisticated … domains. Your Role As our Senior Engineer (Reasoning ML), you will take a leading role within your team to research, develop and deploy machine learning models enabling new behavioural capabilities and improvements in Oxa Driver™, while remaining aligned to business needs and long-term architectural strategy. You will also … quality, customer experience, and maintainability. You Will Take a leading role within your team to research, develop and deploy state of the art machine learning models and architectures in support of behaviour planning and decision making for autonomous vehicles. Create and curate datasets for training and validation of machine more »

relevant field 1+ years of technical leadership experience. Ability to think critically and to formulate solutions to problems in a clear and concise way. Deep understanding in one of the following domains: ad fraud detection, risk control, quality control, business/ads integrity, and online advertising systems. Deep knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack Apply now for immediately consideration for this Software Engineer opportunity. Understanding Recruitment is acting as an employment agency for this Software Engineer vacancy. more »

Machine Learning Engineer- Fully Remote £700-£800 pd via Umbrella Initially for 6 months Global Ecommerce business is looking to recruit a Machine Learning Engineer to work on greenfield projects and AI products. Role: The Machine Learning Engineer will play a crucial role in the development and … implementation of state-of-the-art machine learning models and AI algorithms This is a hands-on engineering role where you will spend the majority of your time writing code in Python to design, build, and deploy machine learning solutions. Experience/skills: Proven experience working as a … Machine Learning Engineer or similar role, with a strong emphasis on engineering Proficiency in Python programming and experience with relevant libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc. Extensive experience of deploying a cloud platform (GCP, AWS or Azure) Strong proficiency in NumPy for numerical computing and more »

Excellent Salaries + Commission + Benefits Central Manchester or Remote Areas: Artificial Intelligence, NLP, Data, Computer Vision, Recommender Systems, LLM's, Quantum Computing, Machine Learning, Deep Learning ‍ We are a leading recruitment agency with an established AI department that has been running for over 7 years. Our more »

for Oxa Driver. In This Role You Will Be Working with primarily camera based imaging sensors, in addition to LIDAR, radar Working alongside Machine Learning and C++ engineers to implement algorithms on-vehicle Working closely with and support Stream Lead in developing and maintaining technical roadmaps to deliver Oxa … to succeed: Knowledge and experience of State-of-the-art techniques for Action Intent Recognition, ideally for Road Users Experience developing and training Machine Learning/Deep Learning algorithms with frameworks such as Tensorflow/Pytorch Proficiency in Python with associated data processing/machine learning … Tensorflow/PyTorch, Jupyter notebooks, etc) Able to collaborate closely with internal and external teams and build trust Strong technical acumen and passion for learning Coordination of people and milestone tracking Proactive problem solver with strong analytical skills Excellent communication and organisational abilities Extra Kudos Experience working at the more »

of State-of-the-art techniques for 3D Perception algorithms optimisation Strong proficiency in developing and debugging C++ code Experience developing and training Machine Learning/Deep Learning algorithms with frameworks such as Tensorflow/Pytorch Proficiency in Python with associated data processing/machine learning … Tensorflow/PyTorch, Jupyter notebooks, etc) Able to collaborate closely with internal and external teams and build trust Strong technical acumen and passion for learning Coordination of people and milestone tracking Proactive problem solver with strong analytical skills Excellent communication and organisational abilities Extra Kudos Experience working at the … better for it. Learn more about our culture here. Why become an Oxbot? Our team of experts in computer science, AI, robotics and machine learning is world-class, and together they’re solving the most exciting and important technological challenges of our times. But as well as smarts, Oxbots more »

we launch the Generative AI Pod, a dynamic and innovative space dedicated to reshaping the future of audits through ground-breaking AI and Machine Learning technologies. Our startup-minded team aims to revolutionise auditing, collaborating closely with Audit Subject Matter Experts (SMEs) to drive innovation and advancements in how … what’s possible. As a Senior Associate in our GenAI Lab start-up, you will: Pioneer the design, development, and deployment of production machine learning pipelines Shape machine learning-enabled, Audit applications Deliver high-quality code contributions to our evolving codebase Monitor and review live production models Lead … more) in computer science/Data Science or a related technical discipline 3+ years of experience in Natural Language Processing Extensive experience with modern Deep Learning (PyTorch/TensorFlow) Experience with any of the following NLP tasks - named entity recognition, intelligent document processing, website parsing & classification, sentiment analysis more »

Industry Advanced experience in coding with SQL, Python and/or R Offer strong knowledge of AI, GenAI, NLP. Offer strong knowledge of Machine Learning and Deep Learning Offer good knowledge of ML Ops (Docker, Kubernetes, CI/CD. Qualified within own personal discipline, with extensive post more »

across tech and finance to help us achieve our aim. About the Role 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 Director of AI research 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 more »