1 to 25 of 123 Permanent Deep Learning Jobs

cost-optimized AI/ML solutions utilizing serverless technologies, container/Kubernetes deployments, and GPU compute infrastructure. Hands-on experience with advanced AI architectures, deep learning frameworks, and MLOps capabilities for robust model deployments. Skilled in developing and integrating APIs to serve ML models and building end-to more »

Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk. You’re going to be part of … headcount growth this year to over 1000 which includes a 20% increase into research. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals. You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over … an investment firm of this calibre. You will ideally have prior experience in a fund within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also 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 »

Senior Machine Learning Engineer Well funded BioTech startup Become a crucial part of an innovative biotech company that's using ML to help treat blood diseases faster. Work in a research focussed role. Fully remote opportunity. I’m working with an innovative biotech startup who are developing a state … board and work on some interesting novel research problems with genomic data. What you’ll be doing Working as part of the wider Machine Learning team, you’ll be tackling novel deep learning problems in the context of genomic & DNA data. You’ll be taking academic research … in a work environment An understanding of or a high level knowledge of DNA, cells, genomes or bacteria Experience working with PyTorch or similar deep learning frameworks Strong communication skills to effectively liaise across diverse technical levels. What you’ll get in return for your experience The package more »

by applying your technical, analytical, and research skills. You will understand the underlying biology and engineering problems and follow the latest developments in machine learning and classical modelling algorithms to identify and harness the right technologies to solve the problems, improve the existing solutions and deploy them. You will … and maintenance for industrialised solutions. Keywords: Computational molecular Physics, Structural Biology, Computational Chemistry, Protein Interactions, Protein Design, Molecular Dynamics, Monte Carlo, Enhanced Sampling, Machine Learning, Deep Learning, Statistics, Data Science Responsibilities Design, implement and deliver complex pieces of research in the area of computational molecular physics/… biology. Implement and test pioneering enhanced sampling methods and free energy calculation techniques that leverage and supplement machine learning approaches. Communicate and collaborate with research engineers in a multi-functional team to integrate simulation-based solutions into drug discovery platforms and ensure they are robust, maintainable and easily used more »

Machine Learning Engineer (Remote) Overview : 🚀 Step into the vanguard of the AI revolution! Our commitment to a decentralized, open-source AI ethos empowers developers to forge scalable, trustworthy solutions that shape tomorrow. Your Role: 👨‍💻 As a Machine Learning Engineer, immerse yourself in the realm of Natural Language Processing … to orchestrating dataset preparation and deployment on cutting-edge NLP pipelines, your canvas is cloud infrastructure. What We Value: 💡 Bring your expertise in machine learning, NLP, and deep learning to our table. Command of PyTorch, proficiency in large-scale dataset processing, and fluency in Python are essential. more »

track the trees that they plant and ensure the local farmers are paid fairly via their sales platform, which is decentralised. The product includes deep learning AI models and runs in a hybrid cloud environment (AWS/Azure). Seeking a hands-on Technical Leader with proficiency in more »

equity This is an exciting new opportunity for a SLAM Computer Vision expert to join a DeepTech start-up! THE COMPANY This Deep-Tech start-up is going through a funding round and growing its company substantially. They specialize in leveraging advanced computer vision techniques to process and analyze … will solve multiple of computer vision related problems end to end and integrate solutions into our cloud processing pipeline. You will identify appropriate machine learning models through research, such as reviewing academic papers and adapting them for our use. Drive the development of the cutting-edge 3D AI pipeline … leveraging the latest breakthroughs in 3D data processing, 3D vision, and machine learning techniques. This entails system design and comprehensive testing. Identify and address bottlenecks in data, pipeline, and operations, proactively devising and implementing agile solutions to enhance scalability and optimize performance. Take ownership of project management for AI 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 »

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 »

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 »

Machine Learning Researcher We are partnered with a multi-billion hedge fund, with an active hiring mandate for ML Researchers. This opportunity involves architecting state-of-the-art ML solutions, generating novel algorithmic architecture and applying the latest deep learning techniques to quantitative trade research. Joining a … leading computing tools to apply and build ML models from the ground up, utilizing new and established techniques and methods like neural networks, reinforcement learning, deep learning, and natural language processing. Remain connected to the broader research community, staying on top of the latest research and publications … proof of concept solutions, running experiments, developing techniques and writing high-quality code to support the research output. Requirements: PhD or masters in machine learning, computer science or related field. Proven track record of peer-reviewed publications. Strong programming skills and experience working with Python and Pandas, Numpy, scikit more »

modelling, management, DBA experience are desirable Experienced in applying some of the data science techniques to project work, including data visualisation, package development, machine learning, NLP, Shiny/Dash, optimisation, deep learning, reinforcement learning Some knowledge of MLOps, implementation experience in MLOps is desirable Daily use … life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun more »

Machine Learning Engineer This role is a unique opportunity to combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this company, you'll not only be part of a creative and open work culture focused on innovation and excellence but also have the chance … analytics. If you're a detail-oriented innovator and team player, we're excited to hear from you. Responsibilities for the role of Machine Learning Engineer will include: Develop and deploy machine learning algorithms using Python, addressing complex sports analytics problems. Integrate ML systems into existing infrastructure, leveraging … employing frameworks like PyTorch and TensorFlow. Follow Agile methodologies, ensuring best practices in software development and CI/CD pipelines. As the selected Machine Learning Engineer, your background will include: A minimum of two years industry experience in machine and deep learning development. Familiarity with cloud computing more »

fertility, pregnancy and menopause. This is a fully remote position and the salary is between 50-75k. They are looking for a Machine Learning engineer who can lead the company’s AI R&D to leverage cutting edge research and incorporate emerging technologies into their NLP and conversational … AI solutions Essential skills 4+ years of industry experience in developing Machine Learning models and maintaining them in a production environment Solid understanding of Machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning and reinforcement learning. Experience with NLP and LLMs’ and … and attention mechanism, transformer technologies etc.) Experience in deploying NLP pipelines to production Python experience including data science libraries (scikit-learn, pandas, NumPy) and deep learning frameworks (Tensorflow, Pytorch) Desirable Experience with virtual agent platforms such as IBM Watson or DialogFlow Team leading experience Proven experience in CI 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 »

products. Your contribution will underpin commercial/strategy decisions in the energy transition. We are looking for a Desk Data Scientist with strong Machine Learning skills, a (hands on) 'individual contributor' with excellent consulting skills and a strong technical/coding background. Responsibilities include: Thought leadership of new ways … global brand. Identification and prioritization for projects in a dynamic environment, with a keen eye for where ‘maximum value’ can be delivered. Applying machine learning models/optimization in creative ways to heterogeneous data sets. Taking concepts from POC into production/working with global development teams Code reviews … team Always seeking new ways of utilizing data/providing solutions that make impact Qualifications (Hard Skills): • MSc or PhD level Computer Science, Machine Learning, Applied Statistics, Mathematics (Russell Group) • 4+ years of hands-on experience in applying data science as a Data Scientist, Quant Researcher, or Quant Developer more »

the-art algorithms Experience running and managing experiments, analysing results and creating insights Proficiency in software development (Python, Github, Jupyer Notebooks, etc.) Proficiency with deep learning packages (such as PyTorch, Jax, or TensorFlow) Experience with ML/LLM Software packages (e.g. HuggingFace, wandb, numpy, matplotlib, NLTK, etc.) Good … knowledge in terms of relevant research topics Experience solving complex technical problems Qualifications and experience (preferred) Master's or PhD in NLP or Machine Learning First author/lead author publications at leading AI and NLP conferences (such as EMNLP, ACL, ICLR, ICML, NeuRIPS) Demonstrated projects where relevant expertise … years of experience working in this field Salary & Benefits Up to £120k/year salary Real ability to shape technical agenda and have a deep impact Mentorship and advice from top ML scientists (ex- or current DeepMind, Cambridge, UCL, Harvard) Fully remote working more »

An intriguing opportunity for a Machine Learning Processor Architect with an early-stage start-up developing a unique new processor technology. Our client has offices in London and Oxford, however remote working is also possible. Here the Machine Learning Processor Architect will join as one of the early … and drive new architectural features for next generation hardware, and evaluate performance of cutting-edge AI workloads. The right candidate: This role of Machine Learning Processor Architect requires someone that understands the ins and outs of computer architecture, and the nuances of what it takes to optimize and trade … off various aspects of hardware-software co-design. Past experience working on performance architecture of GPUs/AI Accelerators is required, with experience with deep learning frameworks (such as PyTorch, Tensorflow). Our client is open to considering candidates at various levels of experience, provided they have the more »

contributing member of the team responsible for decision support technologies associated with Comcast demand and supply planning. These technologies may include artificial intelligence, machine learning, statistical techniques, mixed integer linear programs, reporting/big data analysis, dashboarding, data integration, and other heuristics/algorithms. These technologies are primarily provided … methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools and machine learning techniques and statistics (e.g., predictive models, lifetime value, propensity models). Leads development and execution of statistical and mathematical solutions to business problems to … heart with an analytical mindset , but with a keen sense of serving the business. You have experience developing forecasting models , using time-series, machine learning, or deep learning algorithms and techniques. You have advanced capabilities in Excel, PowerPoint, SQL, and Python to conduct analyses, build models, and more »

of the largest and most respected names in a range of industries. Whether its transforming maritime companies with life-saving training simulators or implementing Deep Learning systems into the businesses of tomorrow, theres no end to the amount of fascinating and cutting-edge projects that we are involved more »

multiple disciplines. Strong written and verbal communication skills. Desirable: Experience with hybrid on-premise/cloud-computing implementation and integrations. Experience with AI and Deep Learning technologies, particularly for Computer Vision. Experience with Data Analytics. Domain knowledge in Physical Security such as Video Surveillance and Access Control. Experience more »

and pattern analysis of cyber data. Apply knowledge of statistics and mathematical theory to develop and integrate new and emerging technologies, such as machine learning and deep learning concepts and techniques. Communicate insights gained to mission user. DHS Cybersecurity Service employees start at career levels and salaries more »

to-end testing to ensure successful solution deployment in real-life customer environments. The Ideal Candidate with have experience within: Solid understanding of Machine Learning and Deep Learning concepts, particularly in computer vision. Proficiency in Deep Learning frameworks such as PyTorch, TensorFlow, or OpenVino. Strong more »