26 to 50 of 93 Deep Learning Jobs in the UK

Opportunity to work on emotionally intelligent AI avatars, transforming e-learning and customer experiences. Role: Computer Vision Engineer Location: London (Hybrid ) Salary: £80,000 (generous stock options) I'm hunting for innovative Computer Vision Engineers who are ready to reshape how humans and AI connect. What You'll Do … development, ensuring clean and efficient code. Build and Integrate Algorithms: Design and deploy custom computer vision algorithms. Drive ML Projects: Manage the full machine learning lifecycle for optimal performance. Collaborate and Improve: Participate in code reviews and team collaboration for continuous improvement. Experience Requirements: Advanced degree (Master’s or … PhD) in Computer Science, Engineering, or a related field. Over 3 years of experience in machine learning and computer vision, particularly with generative models. Strong Python skills and expertise in deep learning frameworks such as PyTorch. Familiarity with cloud tools like Docker and Azure. Experience with CI more »

their strong AI department, where you will help build and maintain the ML infrastructure as well as supporting the deployment and productionisation of machine learning models. The AI department is a cross functional team who work on a range of projects including NLP, Recommendation, Forecasting and LLMs Responsibilities: Create … and manage the machine learning infrastructure Streamline the process of ML experiments into production Build and implement scalable tools and services Continuously explore new technologies to enhance performance, maintainability, and reliability of the ML systems. Apply software engineering principles Work cross functionally across the business What you need to … Docker and Kubernetes Minimum of 3 to 5 years experience Extensive experience with Python Familiarly with Terraform, Databricks and Azure Ability to implement machine learning and software best practices Ideally exposure to deep learning approaches and frameworks Unfortunately sponsorship is not provided for this role If this more »

API gateways and external services Database systems (e.g. MS SQL, MySQL, PostgreSQL) CI/CD processes (Azure DevOps) Data analysis, manipulation, transformation, and visualisation Deep learning and AI modelling tools and techniques An understanding of Security by Design Principles Multi-tenant application design with role-based access controls more »

high-risk, high-reward position. It involves a great deal of uncertainty, but for the right candidate, there is a huge upside potential for learning and exposure. If the above excites you, keep reading - we might be a fit! About Bench We’re on a mission to build the … new technologies and operate in highly unpredictable settings. Proven ability to design, develop, and deploy scalable full-stack applications using modern technologies. Expertise in deep learning methodologies, including model development, training, and optimisation using PyTorch and TensorFlow. Strong Candidates May Also Have Experience working with hardware - through a 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 »

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 »

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 »

North America) 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 »

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 »

Employer as part of the Top Employer Institute annual listings. We were assessed on several key HR practices including Diversity and Inclusion. Role : Machine Learning engineer Key Responsibilities Work with our customers and focus on our AWS Analytics and ML service offerings such Amazon Kinesis, AWS Glue, Amazon Redshift … used by our customers. Work closely with our Solution Architects, Data Scientists and Service Engineering teams Experience with design, development and operations that leverages deep knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies and other 3rd parties Develop …/Kafka/Spark/Storm implementations Experience with analytic solutions applied to the Marketing or Risk needs of enterprises Basic understanding of machine learning fundamentals Ability to take Machine Learning models and implement them as part of data pipeline IT platform implementation experience Experience with one or 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 »

and drafting IP provisions in marquee licences and other high-impact agreements Experience practising patent law in the area of artificial intelligence (AI), machine learning (ML), deep learning, data sciences and/or AI-driven drug discovery Experience building or developing an early stage IP legal function … and represent the populations we are striving to serve. We’re working to build a supportive and inclusive environment where collaboration is encouraged and learning is shared. We value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal 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 »

Skills and Experience: Hold a Master's or PhD in Computer Science, Engineering, or a similar discipline. 1-3 years of experience in machine learning and computer vision, with a focus on the practical use of generative models. Skilled in Python, with a willingness to adapt to other programming … languages and tools as needed. Experienced with deep learning platforms like PyTorch, and able to quickly learn new technologies. more »

equity markets, volatility modeling, and derivative instruments. Strong Programming skills e.g. R, Python, SAS, SQL or other languages Plus: Experience using applied ML/Deep Learning packages 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, predominantly in Azure but also with some AWS features. Seeking a hands-on more »

within an industry setting. Possess a strong foundational knowledge of AI, ML, and data science principles, including signal/pattern recognition, classification techniques, and deep neural network training. Have practical experience with various Data Science and ML frameworks or tools. Excellent verbal and written communication skills Proficient in using … MS Office suite (Excel, PowerPoint & Word). Desirable: Familiarity tools related to machine learning operations. Experience with AWS Knowledge of Reinforcement Learning techniques. Unfortunately sponsorship is not provided for this role If you are interested please apply here or reach out to Morgan.beck@xcede.com more »

of some of the largest companies in the world. Our company is made up of passionate people with expertise ranging from oil refining to deep learning. Between us we’ve run Amazon’s European supply chain, built JustEat’s corporate meal delivery platform, and monitored industrial emissions with satellites … CarbonChainer’s receive a ton of great benefits, including: 26 days of annual leave Home office set up allowance of £500 £2,000 annual learning allowance Team lunches once a week in the office Subsidized gym classes, office gym, and cycle to work scheme. Generous parental leave policy Private more »

We are seeking a Deep Learning Quantitative Researcher to join one of our systematic client remotely. In this role, you will be at the forefront of developing and implementing advanced deep learning models to drive investment strategies and enhance our quantitative research capabilities. Responsibilities: Conduct research … and develop deep learning models for predicting financial markets, including but not limited to time series forecasting, natural language processing (NLP), and image analysis. Collaborate with portfolio managers and traders to identify alpha-generating strategies and optimize trading algorithms. Stay abreast of the latest developments in deep learning, machine learning, and quantitative finance research, and apply cutting-edge techniques to solve complex financial problems. Analyze large datasets to extract meaningful insights and identify patterns that can be used to inform trading decisions. Work closely with our technology and data engineering teams to deploy and more »

Machine Learning Engineer - Facial Animation | Up to £80K depending on Seniority About Us I am representing a company at the forefront of computer facial animation, specializing in a breakthrough technology: automatic and accurate lip syncing. They are looking for new engineers to add to their team who specialise in … speech recognition. The Role I am seeking a talented Machine Learning Engineer to join our team and play a vital role in pushing the boundaries of facial animation. You will be instrumental in developing and improving the industry-leading automatic lip-syncing technology, ensuring it delivers the highest quality … facial animation on the first pass. Responsibilities: Develop, optimize, and implement machine learning models for automatic lip syncing from audio data. Collaborate with engineers and researchers to integrate machine learning models into our existing facial animation pipeline (SGX). Conduct research to explore new techniques and advancements 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 »

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 »

to unlock insights across industries like Finance, Strategy Consulting, and Engineering. 🔍 We are excited to welcome ML Engineers who have worked with: Transformer models Deep learning model implementation ML model deployment at scale Proficiency with ML frameworks Stay updated on the latest in deep learning and more »