1 to 25 of 102 Permanent Deep Learning Jobs in England

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 »

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 »

Ivy Farm - Data Scientist (Statistics and Machine Learning) At Ivy Farm our mission is to create the world’s best guilt free and sustainable meat, it’s cultivated meat, just like real meat, only made differently - and were super excited by it. Were a humble community of 40+ technical … numbers - it's the key to unlocking ground breaking discoveries! Picture yourself at the forefront of innovation, harnessing the power of cutting-edge machine learning technologies to decode the mysteries hidden within cell culture experiments. You'll be building advanced ML models that seamlessly integrate internal and external data … re looking for a dynamic Data Scientist who will work alongside our R&D team to apply cutting-edge computation, data-driven methods, Machine Learning/Deep Learning approaches to accelerate our cell-cultivated meat programs by contributing to improving the design and engineering of novel mammalian 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 »

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 »

Senior Software Engineer (ML) - £100,000 Title : Software Engineer Company : Deep Learning (HPC) Location : Hybrid (Cambridge) Salary : £100,000 Skills : Rust/C++, Deep Learning Overview : An elite, boutique start-up operating at the intersection of HPC and Deep Learning is paving the way … academic in its nature, you will be applying the latest possible research to your work, bridging the gap between a Software Engineering and Machine Learning engineering role in a greenfield environment. About you : 4+ years in a Software Engineering/ML role Extensive performance optimisation Very strong C++ or … Rust experience (bonus points for Rust) Exposure to GPUs Deep learning toolkit experience (E.g., TensorFlow, PyTorch etc.,) Eager to work on Greenfield projects This is a rare opportunity to work on greenfield projects at such a high-performing level. Even if you just curious to learn more, you more »

Skills: Overall good knowledge of Oracles cloud solutions (OCI, IaaS, PaaS, Networks) Strong knowledge of AI technologies Application AI features for different industries Machine Learning, Deep Learning Common AI use cases AI services & technologies (Digital assistant, NLP, Speech, Anomaly detection) Generative AI incl. Cohere Data science AI … Skills: Overall good knowledge of Oracles cloud solutions (OCI, IaaS, PaaS, Networks) Strong knowledge of AI technologies Application AI features for different industries Machine Learning, Deep Learning Common AI use cases AI services & technologies (Digital assistant, NLP, Speech, Anomaly detection) Generative AI incl. Cohere Data science AI more »

The Machine Learning Engineer will help develop/deploy AI-powered products as we embark on a journey to build a new AI-powered sales advisor. This is a mid level role, requiring at least 2-3 years of experience in relevant roles, and an academic background in computing … responsible for Development of a Conversational Recommendation System which utilises Large Language Models (LLMs) and other NLP technologies Deploying scalable and cost effective machine learning systems Evolving and maintaining our machine learning stack Monitoring and analysing deployed models for performance and costs Making effective use of cloud infrastructure … in our ML stack Skills and experience Familiar with the Python-based data science tech stack Python Docker & Kubernetes AWS Cloud Deep learning frameworks - Pytorch and Tensorflow HuggingFace ecosystem [optional] Other machine learning frameworks - scikit-learn, XGboost, CatBoost etc Ability to understand and develop state-of-the 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 »

Machine Learning Engineer - MedTech - London - Hybrid Do you want to develop AI that prevents critical diseases as Machine Learning Engineer ? You can make a real difference in healthcare! A Machine Learning Engineer is needed to join a rapidly growing team at a leading MedTech firm. The company … specialises in AI-powered predictive analysis, developing groundbreaking tools to prevent critical diseases. In this Machine Learning Engineer role, you will: Build and deploy AI models to predict and prevent critical diseases Collaborate with engineers and scientists to develop cutting-edge solutions Continuously learn and implement state-of-the … the-art deep learning techniques Be an integral part of a growing team (20 to 40 people in 12 months!) Tech skills needed for this ML engineering role: Deep Neural Networks (DNN) Generative Adversarial Networks Deep Learning Define, evaluate and assess AI systems performance Explore more »

Machine Learning Engineer, South Cambridge - £60k - £85k + Superb benefits. Cutting Edge R&D We have a fantastic new opportunity for a Machine Learning Engineer to join a state-of-the-art R&D company based in South Cambridgeshire. You will be working across an exciting range of … join the friendly and supportive R&D group, developing technology that makes a difference and has real-world impact. You'll use your Machine learning to develop systems that apply ML to a broad range of tasks. The projects will test your broad exposure to the ML development cycle … cleaning and preparation, rapid code prototyping, iterating model designs and deploying and packaging code into brand new products. This role would suit a Machine Learning innovator, someone looking to push forward what is possible with ML and see their concepts develop into real world solutions and tangible cutting-edge more »

Develop and deploy machine learning models and algorithms to solve complex business problems and optimize processes.Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to understand requirements, gather data, and define project goals. Conduct exploratory data analysis, preprocess and clean data, and perform feature engineering … to extract relevant information for model training.Select appropriate machine learning algorithms and techniques, and develop models that are accurate, robust, and scalable.Train and fine-tune machine learning models using large-scale datasets, and optimize model performance through techniques such as hyperparameter tuning. Evaluate and validate models using appropriate … metrics and statistical methods, and iteratively refine models based on feedback and insights.Deploy machine learning models into production environments, ensuring scalability, reliability, and efficiency.Collaborate with software engineers to integrate machine learning models into software systems and develop APIs for model inference. Continuously monitor and evaluate model performance and more »

Develop and deploy machine learning models and algorithms to solve complex business problems and optimize processes.Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to understand requirements, gather data, and define project goals. Conduct exploratory data analysis, preprocess and clean data, and perform feature engineering … to extract relevant information for model training.Select appropriate machine learning algorithms and techniques, and develop models that are accurate, robust, and scalable.Train and fine-tune machine learning models using large-scale datasets, and optimize model performance through techniques such as hyperparameter tuning. Evaluate and validate models using appropriate … metrics and statistical methods, and iteratively refine models based on feedback and insights.Deploy machine learning models into production environments, ensuring scalability, reliability, and efficiency.Collaborate with software engineers to integrate machine learning models into software systems and develop APIs for model inference. Continuously monitor and evaluate model performance and more »

to contribute fully to our purpose. Reporting to the VP of Research, you’ll have the opportunity to work with state-of-the-art Deep Learning technology to develop creative solutions to exciting, challenging and industry-defined problems. How you’ll make an impact: Take ownership of research … areas in computer vision, machine learning and biometrics with high degree of autonomy tackling new, as yet, unsolved industry problems Work with our developers to see the products of the research turned into production code Collaborate with the research team on best solutions Communicate research outcomes across the company … quo of the existing solutions You will work with a diverse team of AI and machine vision specialists, applying state-of-the-art Machine Learning and Deep Learning techniques to develop original solutions to world wide problems. We tend to look for people with: A Masters or more »

Machine Learning Scientist Location: London Salary: Circa 140K 165K + Benefits Machine Learning Scientist required by fast-growing, Top Tech Company building state-of-the-art deep learning models! This is a varied, challenging role where youll lead the development and ownership of pioneering research projects … in categorical deep learning, from conceptualisation to execution Essential: PhD in Computer Science, Mathematics, or similar discipline At least 2yrs of industrial or academic work post PhD Proven track record of research published in top-tier conferences (e.g. NeurIPS, ICML, ICLR, AAAI, COLT) Experience with functional programming languages … e.g. Haskell, Idris, Scala) Deep expertise in neural network architectures and a strong interest in category theory or type theory Industrial or academic experience leading a research/technical team, and implementing novel machine learning architectures Tremendous opportunity offering plenty of scope for career progression in a friendly more »

Head of, Machine Learning and Data Science Center of Excellence Salary: £105,000 - £130,000 dependant on skills and experience Location: Remote, United Kingdom Contract: Permanent Hours: 37.5 Williams Lea, a leading global business process outsourcing (BPO) firm, seeks a visionary and hands-on Senior Manager to spearhead the … establishment and oversight of a Machine Learning and Data Science Center of Excellence. This strategic role will be instrumental in driving AI and tech enablement initiatives across the company's diverse service offerings, creating market differentiation, increasing profit margins, and delivering superior service to clients. Williams Lea serves clients … best practices in the field of ML and AI. The successful applicant will have a set of the following skills - Proven expertise in machine learning, deep learning, and natural language processing (NLP) techniques, with a deep understanding of algorithms, architectures, and model optimization. - Hands-on experience more »

Head of Machine Learning and Data Science Centre of Excellence - Remote - United Kingdom Role Overview: The Senior Manager will lead the development and deployment of cutting-edge machine learning (ML) and large language model (LLM) solutions. These solutions will leverage structured and unstructured data to automate workflows and … and processes for ML model development and production deployment. Develop performance metrics and KPIs aligned with business objectives. Essential Skills: Proven expertise in machine learning, deep learning, and natural language processing (NLP) techniques. Hands-on experience in building and deploying end-to-end ML solutions. Strong programming … opportunity to shape the future of a global leader in business process outsourcing, driving innovation and transforming service delivery through the power of machine learning and artificial intelligence. The successful candidate will have the chance to build a world-class ML and Data Science Center of Excellence from the more »

our dynamic Data team and benefit from talking shop with our other data roles including; Data Scientists, Data Engineers, Analytics Engineers and our Machine Learning Engineer. The person we’re looking for A strong foundation in machine learning theory and practical experience, particularly in NLP, is essential for … are also looking to push the performance boundaries of our new product as far as possible, so experience and knowledge on techniques like reinforcement learning and domain-specific knowledge in sales will be invaluable. Your responsibilities will include ensuring that our development adheres to industry best practices and integrates … state-of-the-art techniques to tackle complex challenges with innovative solutions. You’ll be responsible for Develop, train and deploy machine learning and AI models, particularly focussing on NLP and language understanding tasks. Work extensively with PyTorch and other machine learning frameworks to build and iterate on 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 »

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 »

Machine Learning Quantitative Researcher A market-leading global hedge fund is looking for a Machine Learning Quantitative Researcher to join their renowned team. Having full ownership of greenfield projects focused on generating PnL with machine learning through the application of ML algorithms in sophisticated coding solutions. Work … at the forefront of the implementation of deep learning in the trading space with immediate returns on your cutting-edge research-driven hypotheses. This is a unique opportunity in a collaborative and entrepreneurial environment with great opportunities for career progression. Responsibilities: Apply the rigorous scientific method and methods … such as NLP, neural networks and deep learning to develop sophisticated trading models across multiple asset classes that inform highly profitable trading strategies. Work with an elite group of software and data engineers developing and evolving market-leading research toolkits and data pipelining. Remain connected to the broader more »

Machine Learning Quantitative Researcher A market-leading global hedge fund is looking for a Machine Learning Quantitative Researcher to join their renowned team. Having full ownership of greenfield projects focused on generating PnL with machine learning through the application of ML algorithms in sophisticated coding solutions. Work … at the forefront of the implementation of deep learning in the trading space with immediate returns on your cutting-edge research-driven hypotheses. This is a unique opportunity in a collaborative and entrepreneurial environment with great opportunities for career progression. Responsibilities: Apply the rigorous scientific method and methods … such as NLP, neural networks and deep learning to develop sophisticated trading models across multiple asset classes that inform highly profitable trading strategies. Work with an elite group of software and data engineers developing and evolving market-leading research toolkits and data pipelining. Remain connected to the broader more »

will be responsible for overseeing the successful implementation and deployment of an AI roadmap. This is an exciting opportunity for someone who has a deep understanding of AI technologies, excellent project management skills, and the ability to collaborate with cross-functional teams to drive AI adoption and deliver business … to coordinate efforts on data management and improving data quality. Provide technical leadership and mentorship to cross-functional teams, fostering a culture of continuous learning and innovation. Plan, prepare, organize and run training programmes to build AI literacy across the firm. Communicate project status, risks, and achievements to stakeholders … a related technical field. Proven experience in leading and delivering AI projects in a complex, enterprise environment. Strong understanding of AI technologies – including machine learning, deep learning, natural language processing, and computer vision. Excellent project management skills, with the ability to manage multiple projects simultaneously and prioritise more »

track record as a senior/self-starting AI engineer in designing and developing solutions for large scale organisations. We are seeking someone with deep technical skills in a variety of technologies, to play an important role in developing and delivering early proofs of concept and production implementation. You … Eligibility required. Qualifications Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and algorithms Familiarity using cloud based AI services for use cases more »

track record as a senior/self-starting AI engineer in designing and developing solutions for large scale organisations. We are seeking someone with deep technical skills in a variety of technologies, to play an important role in developing and delivering early proofs of concept and production implementation. You … Eligibility required. Qualifications Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and algorithms Familiarity using cloud based AI services for use cases more »