1 to 25 of 54 Deep Learning Jobs in London

Salary: £50,000 - £70,000 We're looking for Research Engineers to work with a leading AI company renowned for its groundbreaking work in deep learning and Generative AI, particularly in healthcare and retail. About the Opportunity Join a team of top-tier Deep Learning experts … This company boasts a stellar research reputation, with numerous publications at prestigious conferences. As a Research Engineer, you'll collaborate globally to tackle complex deep learning challenges, focusing on graph neural networks and pioneering new foundation models in healthcare. The Impact Your research will directly contribute to real … world applications with a profound social impact in Healthcare, already benefiting millions of lives. Key Responsibilities Develop state-of-the-art deep learning and generative models. Write high-quality, production-ready code. Leverage your experience in deep learning from both industry and academic settings. Benefits Private 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 »

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 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 »

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/1 day per week from home 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 more »

Seeking a Talent, Learning & Development Partner for a large complex organisation supporting the Digital & Technology business functions. The role will work with senior leadership to spearhead a dynamic learning strategy aligned with the business objectives and people plan. The role will assume responsibility for all talent and learning priorities to drive organisational performance across the business. Experience of operating a Learning Development Partner within with a Technology organisation or supporting Digital and Technology functions will be essential for the role. This will include: Utilising a commercial mindset and deep expertise within talent & learning to … identify and prioritise key needs in this space and work with senior business leaders to execute and implement talent & learning initiatives. Drive and communicate Learning strategy and plans, supporting the effective launch of new learning solutions, driving awareness and engagement, leveraging data and insights to share progress 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 »

to improve strategy performance. The candidate can expect exposure to a wide range of interesting and challenging problems involving financial market, statistical modeling, machine learning, deep learning, and computational finance. Required Core Competency Deep understanding of financial markets and market micro-structure Exceptional analytical and problem … and strong track record of using creativity to come up new HFT/MFT trading strategies Hands on knowledge in applying statistical and machine learning methods to financial data using Python/R Comfortable taking ownership of projects and responsibilities with minimum supervision At least a bachelors degree in 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 »

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 »

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 »

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 »

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 »

Exciting opportunity for a Machine Learning Manager to join an innovative start up who are developing a first of its kind medical device. They are looking for an experience Machine Learning engineer who has led teams in developing timeseries models and dealing with numerical data. Responsibilities: Implement machine … learning strategies for medical devices, focusing on model development, deployment, and data collection. Guide a team of data analysts and machine learning specialists to ensure the successful execution of AI projects. Collaborate with biomedical engineers, product designers, and other stakeholders to integrate machine learning techniques into medical … predict device-user interactions in the medical device domain. Design and conduct experiments and validation protocols to ensure the accuracy and reliability of machine learning models for medical devices. Ensure compliance with relevant regulatory guidelines and adhere to industry standards and best practices in medical device innovation. Stay updated more »

Machine Learning Engineer £700-800/day overall assignment rate to umbrella Fully remote 6 month initial A FTSE 100 retail client are on the look for a Data Scientist/Machine Learning Engineer to be responsible for establishing best practises and developing/deploying core ML/… AI Algorithms required to tackle data science challenges. Machine Learning Engineer, key skills: Significant experience working as a Data Scientist/Machine Learning Engineer Solid knowledge of SQLandPython's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib). GCP experience is desirable (developing GCP machine learning services) Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Strong knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep more »

MACHINE LEARNING ENGINEER NEW PERMANENT OPPORTUNITY AVAILABLE FOR A MACHINE LEARNING ENGINEER IN LONDON WITH SECURITY CLEARANCE Permanent opportunity for a Machine Learning Engineer Must hold SC or DV Clearance £40,000 to £75,000 plus bonus and benefits London based organisation in an accessible location To … apply please call 07704 152 640 or email WHO WE ARE? We are recruiting a permanent Machine Learning Engineer to work with a leading technology and engineering company that do excellent work across Defence and National Security sectors covering a range of exciting projects. Due to the nature of … our clients, you must hold Security Clearance. WHAT WILL THE MACHINE LEARNING ENGINEER BE DOING? As a Machine Learning Engineer, you will be working alongside our team on a wide variety of projects with a special focus on innovation. You could be working with all types of data more »

Senior Machine Learning Engineer - Health Tech Start Up We are seeking a talented and experienced Machine Learning Engineer to join a a rapidly expanding health-tech start-up, who are looking to be number 1 in the industry in the next 5 years. As a Machine Learning … architecting, building, testing, and delivering a new and improved running engine that generates adaptive training plans for tens of thousands of active users. Machine Learning Engineer Skills: Strong Python Programming A deep understanding of designing and implementing complex algorithms, data science and machine learning You should have … at least 1 year of professional experience in data science and machine learning, or hold a PhD or Masters degree in a related field such as Computer Science, Maths, Physics, or Engineering Experienced in MLOps, experienced delivering features end-to-end, from architecture design and building through to releasing more »

e.g., PEFT, DeepSpeed, TensorRT) to optimize ML models? Have you ever managed or worked with a multi-node HPC cluster? Are you familiar with Deep Learning using PyTorch Library? Do you have experience with Kubernetes container orchestration? Have you worked with some of the recent Large Language Models … the languages of ML (quantization, PEFT, DeepSpeed, ONNX, TensorRT...) inference servers like multi-LoRa, LoRA Exchange, TitanML ️ multi-node HPC clusters like a pro ️ Deep Learning with PyTorch containers with Kubernetes LLMs (OpenAI, Mistral, Claude, LLaMA...) inside and out LLMs for GPU usage, scaling, and data movement ️ The more »

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 »

Senior AI Engineer, Machine Learning, NLP, Large Language Models, Drug Discovery West London - office based 4 days per week Highly competitive salary + bonus + BUPA Were looking for an MSc/PhD level AI Engineer/AI Scientist. An Artificial Intelligence/Machine Learning, LLM expert, with … Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. Youll be skilled in adapting and debugging ML systems across different environments, interested in all aspects of machine learning, such as parameter efficient adaptation of large language and vision models. With ideas about productionizing ML systems, long context text summarization, production-grade ML … models such as those in Sentence Transformers. You will need: MSc/PhD and ideally post-doctoral or similar experience, in AI/Machine Learning, Textual Analysis/Natural Language Processing and Transformer technology/Large Language Models Experience in NLP and Large Language Models, eg. GPT-4, Claude more »

+ BUPA + high Bonus Were looking for an MSc/PhD level Principal AI Engineer/AI Scientist. An Artificial Intelligence/Machine Learning expert to contribute to a transformational change in the way drug discovery is done with a high growth, fast-paced biotechnology company. The Principal … Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. Youll be skilled in adapting and debugging ML systems across different environments, interested in all aspects of machine learning, such as parameter efficient adaptation of large language and vision models. With ideas about?productionizing?ML systems, long context text summarization, production-grade ML … and embedding-based fine tuning of NLP models such as those in Sentence Transformers. You will need: MSc/PhD in AI/Machine Learning, Textual Analysis/Natural Language Processing and Transformer technology/Large Language Models 4+ years of post-doctoral or similar commercial experience Experience in 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 »

the company's global client base and reach, you have the lovely bonus of working with a small, tight-knit team of experienced Machine Learning professionals. This is a fantastic opportunity to make a tangible impact with your work and utilise cutting-edge LLMs within an NLP context. Responsibilities … NLP in a commercial setting, ideally for information extraction, entity recognition, etc. Experience working with transformers-based models such as BERT, GPT, etc. Extensive Deep Learning & Machine Learning knowledge. Usage of LLMs in a commercial environment is a bonus. PyTorch experience a major bonus – other ML frameworks more »

AI models and deployments - Ensure compliance with data privacy and security regulations - Stay up-to-date with the latest advancements in AI and machine learning As a Gas Processing AI Engineer, you will play a crucial role in developing, implementing, and maintaining artificial intelligence solutions that drive business growth … opportunities, design AI models, and deploy such models in the gas plants. The ideal candidate should have a strong background in AI and machine learning with hands-on programming and problem-solving skills. Minimum Requirements As a successful candidate, you must have a Bachelor's or Master's degree … Hands-on experience in implementing successful AI projects in the Gas Processing sector - Strong programming skills in Python, TensorFlow, and PyTorch - Experience with reinforcement learning and generative AI (LLM) models - Experience with natural language processing (NLP) and AI Computer Vision - Excellent communication and leadership abilities Requirements: - Bachelor's or more »