1 to 25 of 45 Deep Learning Jobs in the UK excluding London

History. Key job responsibilities Quantize, prune, distill, finetune Gen AI models to optimize for edge platforms Fundamentally understand Amazon's underlying Neural Edge Engine to invent optimization techniques Analyze deep learning workloads and provide guidance to map them to Amazon's Neural Edge Engine Use first principles of Information Theory, Scientific Computing, Deep Learning Theory, Non … centric solutions for our devices Publish in open source and present on Amazon's behalf at key ML conferences - NeurIPS, ICLR, MLSys. Basic Qualifications 3+ years of building machine learning models for business application experience PhD, or Master's degree and 4+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural … deep learning methods and machine learning Prior experience in productionizing ML models and managing their full lifecycle from development to deployment Preferred Qualifications Understanding and preferably hands-on experience with recent methods for inference optimization, including Mixture-of-Experts (MoE), Diffusion Models for Language Generation, etc. Our inclusive culture empowers Amazonians to deliver the best results for More ❯

Head of ML | Contract | £750pd | Outside IR35 | Hybrid, 2-days per week | London My client is on the lookout for a Head of Machine Learning to join the team on a contract basis. This client is a consultancy and have had an influx of AI/ML work, without having the headcount to oversee some of the projects. So … Scientists and oversee the delivery of work for their clients. The role has been determined outside IR35 and will run for a minimum of 6-months. Technical Skills Machine Learning & Deep Learning Supervised/unsupervised/reinforcement learning Model selection, training, validation, and evaluation Deep learning architectures (CNNs, RNNs, Transformers) Data Science Statistical analysis More ❯

This temporary role requires an ML Quant Engineer with expertise within an Investment Bank. The position is based in London and involves developing and implementing machine learning models to support financial decision-making. Client Details The hiring organisation is a large entity within the financial services industry. Description Design and implement machine learning models for financial applications, with … a focus on derivatives pricing, risk analytics, and market forecasting. Build scalable ML pipelines to process large volumes of financial data efficiently. Develop deep learning architectures for time series prediction, anomaly detection, and pattern recognition in market data. Optimise model performance using techniques such as hyper-parameter tuning, ensemble methods, and neural architecture search. Collaborate with quantitative analysts … models with pricing methodologies and identify opportunities for innovation. Support the deployment of ML solutions into production systems for real-time risk management and pricing automation. Profile Advanced Machine Learning Expertise - Demonstrates deep understanding of ML algorithms (supervised, unsupervised, reinforcement learning) and has hands-on experience with deep learning architectures like RNNs, LSTMs, and Transformers. More ❯

world. Role Data Analytics & AI - Data Science & AI - Manager EY exists to build a better working world. We empower our people by offering the culture, tech, teams, scale, challenges, learning, and the relationships for you to personalise and build your career, helping to create long-term value for clients, people and society and build trust in the capital markets. … anomalies that can inform business strategies. Statistical Modeling : The ability to applying statistical techniques to extract insights, build predictive models, interpret data, and support data driven decision making. Machine Learning and AI Model End to End Management : The ability to build and manage the full lifecycle of ML models including development, validation, deployment, and monitoring in production environments. Collaboration … The ability to work closely with cross-functional teams to develop, test, and deploy advanced machine learning models, ensuring alignment with business objectives and seamless integration into client operations. Communication : The skill to effectively communicate complex analytical findings and model results to stakeholders, translating data-driven insights into business language that informs decision-making. Continuous Learning : The ability More ❯

data to solve complex problems and drive business outcomes. Your key responsibilities Collaboration: The ability to work closely with cross-functional teams to develop, test, and deploy advanced machine learning models, ensuring alignment with business objectives and seamless integration into client operations. Data Analysis: The capability to analyse large and complex datasets to extract actionable insights. Your analytical skills … our data infrastructure. Communication: The skill to effectively communicate complex analytical findings and model results to stakeholders, translating data-driven insights into business language that informs decision-making. Continuous Learning: The ability to stay informed of the latest advancements in data science, including techniques and tools, to ensure our team remains at the cutting edge of the field. Understand … help to articulate and quantify the value that data and AI can deliver. Skills and attributes for success To qualify for the role; Experience in building and deploying machine learning or deep learning models in real-world applications. A completed degree (bachelors, masters, or PhD). Excellent leadership and organisational skills, with a track record of developing More ❯

and build on continued success on a global scale. Your key responsibilities Collaboration: The ability to work closely with cross-functional teams to develop, test, and deploy advanced machine learning models, ensuring alignment with business objectives and seamless integration into client operations. Data Analysis: The capability to analyse large and complex datasets to extract actionable insights. Your analytical skills … our data infrastructure. Communication: The skill to effectively communicate complex analytical findings and model results to stakeholders, translating data-driven insights into business language that informs decision-making. Continuous Learning: The ability to stay informed of the latest advancements in data science, including techniques and tools, to ensure our team remains at the cutting edge of the field. Skills … and attributes for success To qualify for the role; Experience: 3 years of hands-on experience in building and deploying machine learning or deep learning models in real-world applications. Technical Expertise: Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch. Experience with R is a nice-to-have. Foundational Knowledge More ❯

a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ At Monzo, Machine Learning Scientists have ownership across the entire ML lifecycle, from formulating ML problems to deploying models and monitoring their impact on key product and business metrics. Our Machine Learning … Product, and Risk, tackling a broad range of issues including fraud detection and prevention, transaction monitoring for various suspicious activities, customer risk assessment, and operational tooling. About our Machine Learning Team for Personalisation: Personalisation is central to Monzo's mission-to make money work for everyone. By delivering tailored recommendations, proactive insights, and intuitive experiences, we help customers make … build directly enhances the banking experience, making it more seamless, engaging, and rewarding. Our Personalisation Data team brings together experts across four key disciplines: Analytics Engineers, Data Analysts, Machine Learning Scientists, and Data Scientists. As a Lead Machine Learning Scientist, you'll develop models that make every customer interaction more relevant and timely, ensuring they receive products and More ❯

Senior Quant Machine Learning Engineer sought by leading investment bank based in the city of London. **Inside IR35, 4 days a week on site** The role: To lead the design and deployment of ML-driven models across our trading and investment platforms. This is a high-impact, front-office role offering direct collaboration with traders, quant researchers, and technologists … pipelines and scalable model infrastructure for production deployment Mentor junior quants and engineers; contribute to knowledge-sharing and model governance processes Stay current with cutting-edge ML research (e.g., deep learning, generative models, reinforcement learning) and assess applicability to financial markets Collaborate closely with cross-functional teams, including traders, data engineers, and software developers What We're … hedge fund, or tech firm Advanced degree (PhD or Master's) in Computer Science, Mathematics, Physics, Engineering, or related discipline Strong expertise in modern ML techniques: time-series forecasting, deep learning, ensemble methods, NLP, or RL Expert-level programming skills in Python and strong understanding of software engineering best practices Experience deploying ML models to production in real More ❯

Head of AI & Machine Learning London (Hybrid - 2 days on-site) £180,000 base + equity + bonus The Opportunity I'm working with one of the UK's most exciting AI scale-ups, a forward-thinking business that's just secured a significant Series B funding round. They're building cutting-edge, applied AI technology that's already … making a real impact across industries, and now they're looking for a Head of AI & Machine Learning to lead the next stage of growth. This is a chance to step into a senior leadership role where you'll shape the entire AI strategy and grow and inspire a high-performing team The Role As Head of AI & Machine … Learning, you'll sit on the senior leadership team and play a pivotal role in setting the technical direction of the company. This role blends hands-on technical expertise with strategic leadership. You'll: Own and drive the AI/ML strategy across the organisation. Lead and scale a world-class team of data scientists and ML engineers. Guide More ❯

Location: One of our Basingstoke, Bristol, or London offices (Hybrid - 2 days in the office per week minimum) Level : Mid-Senior Team: Machine Learning Salary: £55,000 - £70,000 Start Date: As soon as possible Join Our Team as a Machine Learning Engineer at Hawk-Eye Innovations Hi, I'm Lachlan, Technology Lead for the HawkAI team. I … m excited to invite you to apply for the Machine Learning Engineer position in our R&D team at Hawk-Eye Innovations. If you're passionate about defining the future of sports analytics, this could be the ideal role for you. As a Machine Learning Engineer, you'll be at the heart of our development lifecycle. You'll … work closely with product managers, data stakeholders, and engineers across Data and Machine Learning Teams. What Your Week Could Look Like A typical week might include: Integrating cutting-edge ML features into HawkAI analysis products Running ML models on live streams of tracking data Designing algorithms to turn ML outputs into actionable insights Helping to develop and deploy machine More ❯

with a pioneering technology company at the forefront of sports analytics and artificial intelligence . This is a unique chance to apply your expertise in computer vision and machine learning to real-world challenges - building advanced systems for precise player and pitch detection and tracking during live sports events. You'll be part of a collaborative, research-driven team … where your work will directly influence how millions of fans, teams, and broadcasters experience sport. Key Responsibilities Design, implement, and optimize deep learning algorithms for image and video analysisDevelop and enhance computer vision pipelines using both classical methods (OpenCV) and modern techniques (CNNs, detection/segmentation heads)Train, evaluate, and fine-tune models on large datasets, ensuring performance … pushing models into production that have tangible, high-profile impact. Essential experience: Strong background in Computer Vision and image/video processingHands-on experience with OpenCV pipelines Proficiency with deep learning frameworks (PyTorch, TensorFlow, Keras)Knowledge of CNN architectures and training dynamicsProven experience deploying and optimizing models for real-time applicationsStrong data science and metrics literacy Nice to More ❯

Job Title: Data Scientist (LLMs & ML) - UK Remote A fast-growing healthcare organization is seeking a Data Scientist with strong experience in machine learning, deep learning, and Large Language Models (LLMs) to help drive innovation and automation in clinical services. This is a full-time, remote UK-based role. ***Unfortunately we can't consider candidates that require More ❯

Data Scientist (LLMs & ML) - UK Remote A fast-growing healthcare organization is seeking a Data Scientist with strong experience in machine learning, deep learning, and Large Language Models (LLMs) to help drive innovation and automation in clinical services. This is a full-time, remote UK-based role. ***Unfortunately we can't consider candidates that require sponsorship*** Compensation More ❯

and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, you will architect complex, scalable, and secure solutions tailored to meet each customer's needs. You'll gather requirements, assess current infrastructure, and … Data and AI/ML solutions and 8+ years defining long-term product/solution roadmaps with execution programs Hands-on experience with AI/ML workloads including machine learning, deep learning, NLP, CV, GNN, or distributed training Ability to create compelling customer proposals and present to executives; proficient English communication in technical and business settings Preferred More ❯

Machine Learning Engineer £700-750/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 join their data science function to drive cutting-edge ML technology across the business. 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, VertexAI experience is desirable (developing GCP machine learning services) Timeseries forecasting 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 Learning algorithms (e.g. BERT, LSTM, etc.) Machine Learning Engineer, timeseries, forecasting, VertexAI, GCP Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we More ❯

experience in Investment Banking environment would be a plus Spanish would be a plus Mandatory Skills : Python, ServiceNow Orchestrator, Azure Cognitive Services, GenAI - LLMOps, RPA - Microsoft Power Automate, Machine Learning - AIOPS, Deep Learning - AIOPS, Reinforcement Learning - AIOPS Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to More ❯

field or equivalent work experience. • Experience in leading a small team and managing projects. • Have industry experience as a data scientist, working with Natural Language Processing (NLP)/Machine Learning (ML)/GenAI models, and having extensive production experience in Python. • Advanced experience in applying deep learning, machine learning, analytical techniques, data processing, clustering, regression, and … adopt new open-source technologies emerging in the industry. • Extensive coding/scripting experience (Python) developed in a commercial/industry setting. • Strong theoretical and applied knowledge of Machine Learning techniques, especially in the Natural Language domain or when working with other unstructured data. • Solid understanding of Python, including writing modular Pythonic code, familiarity with core Python data structures … working with chat data. And any experience of these would be really useful: • Hands-on work experience with Google Cloud Platform (GCP) implementations. • Experience in implementing and supporting Machine Learning systems, including automating data validation, model training, model validation, and model monitoring. • Awareness of the latest industry technical developments, emerging trends, and new technologies related to Natural Language and More ❯

Scientist, you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using … to data privacy regulations. Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Proven experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages such as More ❯

Scientist, you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using … to data privacy regulations. Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Proven experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages such as More ❯

Scientist, you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using … to data privacy regulations. Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Proven experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages such as More ❯

Scientist, you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using … to data privacy regulations. Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Proven experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages such as More ❯

As a Principal Data Scientist at Hiscox, you will play a pivotal role as a critical thinker for Hiscox, applying your deep expertise to address our most intricate business challenges and uncover significant opportunities within our data landscape. You will utilise your technical skills and innovative mindset to tackle complex business problems and identify opportunities for growth. Additionally, you … Strong understanding of intricate business challenges and translation into technical problem statements. o Working with diverse datasets, both internal and external. o Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact. Provide hands-on technical mentorship and guidance to junior and mid-level data scientists, fostering best practices … Key Technical Skills: Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of Generative More ❯

field (or equivalent combination of education and experience). Proven experience as a Data Scientist with a strong focus on NLP and knowledge graphs. Practical experience with graph machine learning techniques such as graph neural networks and graph data science. Proficiency in Python and experience with key NLP libraries and frameworks (e.g., NLTK, spaCy, Transformers, Hugging Face, BERT, Langchain … . Hands-on experience with deep learning frameworks like TensorFlow or PyTorch. Strong problem-solving skills, particularly in addressing complex NLP challenges. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. We support the government scheme "Access to Work" please feel free to ask us about the access to work scheme. Desirable … and Qualifications Company: Allianz Insurance Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Data Analysis, Industry, Language Understanding, Machine Learning, NLP, United Kingdom More ❯

provider that's deploying cutting-edge AI vision systems across food manufacturing environments. They're looking for a practical, technically skilled Applications Engineer to help roll out advanced machine learning solutions in fast-paced, high-speed production settings. This is a field-based, high-impact role-you'll be working on real production lines, replacing manual inspection tasks with … experienced engineering team. What You'll Be Doing Designing and implementing machine vision inspection systems using AI/ML tools. Running trials and developing proof-of-concepts to validate deep learning models in real environments. Programming and configuring PLCs and SCADA systems. Installing, commissioning, and supporting automation systems on customer sites. Documenting solutions-creating clear functional design specs … vision, automation, or similar engineering roles. Hands-on experience deploying machine vision or image analysis systems in industrial or research environments. Comfortable working with AI/ML platforms or deep learning-based vision tools. Strong troubleshooting and problem-solving skills in production environments. Excellent communication skills and ability to liaise with operators and engineers. Full UK driving licence More ❯

skills. A relevant qualification in data science, computer science, or a related field. Technical knowledge: · Expert use of standard statistical tools e.g. R/Python and relevant associated libraries · Deep expertise in building and maintaining AI and machine learning models, including use of deep learning, natural language processing, and LLMs. Job Offer With offices in Birmingham More ❯