51 to 75 of 98 Deep Learning Jobs in England

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 ❯

Innovative Companies by Fast Company. We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based … synthesizing findings into actionable threat intelligence to better protect our customers.The team's core disciplines are data engineering, data science, devops, and security. We use data science and machine learning to process large volumes of data and build threat intelligence for Cloudflare's customers About the Role We're looking for a Machine Learning Engineer to join our … team and lead the charge in applying cutting-edge machine learning to cyber threat intelligence. In this highly impactful, hands-on role, you'll design, develop, and deploy scalable machine learning models that leverage massive datasets from our global network to identify and neutralize sophisticated cyber threats. Your expertise will directly enhance our Cloudforce One offering, providing critical More ❯

Director, Machine Learning Centre of Excellence Group AI Management and Strategy (AIMS) team is responsible for developing and implementing Group-wide strategic programs across HSBC aimed at accelerating the commercialisation and delivery of Artificial Intelligence/Machine Learning (AI/ML) across HSBC. Key areas of focus include responsible development practices, common platforms and capabilities, AI technology enablement … governance, and the Group-wide AI Strategy. In this fantastic new strategic role, you will join a growing team to lead the Machine Learning Centre of Excellence (ML-COE). This is a critical role for HSBC that will deliver against some of the most complex Machine Learning and Artificial Intelligence Use Cases to deliver Value within our … assurance and help shape the future of the team through hiring and team building initiatives. You will be a trusted thought partner of the GB/GFs and form deep and trusted relationships with AI developers across the organization. In this role, duties will include: • Use Case Management: Prioritising and managing AI/ML use cases to ensure alignment More ❯

Grade Level (for internal use): 12 The Team: The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers … to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact: Develop models, algorithms and data pipelines that leverage wealth of S&P … subjects Requirements and Skills Master's or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or a related field. 6+ years of professional experience in Data Science/Machine Learning/Quant, including in the Financial Services sector Hands on project lifecycle experience, from business requirements gathering to testing production release Strong coding experience in Python to write robust More ❯

service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? Intercom's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focussed team. … dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer … with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Benefits We are a well treated More ❯

service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? Intercom's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are a product-focused team that … and Design functions. Our dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We apply machine learning technology across a range of models and product areas, testing and measuring real customer impact of each deployment. What will I be doing? Identify areas where ML can create … measure & socialize learnings to inform iteration Partner deeply with the rest of the team, and others, to build excellent ML products What skills might I need? Broad applied machine learning knowledge 3-5 years applied ML experience Practical stats knowledge (experiment design, dealing with confounding etc) Strong communication skills, both within engineering teams and across disciplines Comfort with ambiguity More ❯

We're Hiring: Machine Learning Engineer (Research-Focused) Type: Contract 4 - 6 Months Location: West London Salary: Up to £75 p/h Our client, a globally recognised technology leader , is seeking a Machine Learning Engineer with a strong research background to drive advancements in computer vision, generative AI, and deep learning. The organisation is renowned for … Requirements: PhD (or current PhD student) in ML/AI/Computer Vision. Exceptional Master's candidates with extensive research experience will also be considered. Strong foundations in Machine Learning, Computer Vision, and Deep Learning Proficiency in PyTorch and Python First-author publications in top-tier conferences/journals (ICML, NeurIPS, ICLR, CVPR, ECCV, AAAI, IEEE TPAMI … computer vision and/or language processing) Foundation Models (computer vision and/or language processing) Parameter-Efficient Fine-Tuning Data/Model Privacy Model Optimization for Multi-Task Learning Why Join? Work on advanced AI research with global impact, alongside leading experts in the field. If you are ready to take on this challenge, we'd love to 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 ❯

experience (including 1-2 years in AI/ML) to design, build, and optimize intelligent solutions. This role offers the opportunity to work on cutting-edge projects, applying machine learning, NLP, and generative AI to real-world business problems. Key Responsibilities Build and refine AI/ML models, including LLM-based solutions (RAG, fine-tuning, prompt engineering). Design … Strong problem-solving and communication skills. Preferred Knowledge of data structures, algorithms, and solution architecture. Familiarity with cloud AI platforms (AWS, Azure, GCP). Understanding of supervised, unsupervised, and deep learning methods. Refer a friend and earn up to £500! Unfortunately, due to high numbers of applications, we are only able to respond to shortlisted applicants. If you More ❯

experience (including 1-2 years in AI/ML) to design, build, and optimize intelligent solutions. This role offers the opportunity to work on cutting-edge projects, applying machine learning, NLP, and generative AI to real-world business problems. Key Responsibilities Build and refine AI/ML models, including LLM-based solutions (RAG, fine-tuning, prompt engineering). Design … Strong problem-solving and communication skills. Preferred Knowledge of data structures, algorithms, and solution architecture. Familiarity with cloud AI platforms (AWS, Azure, GCP). Understanding of supervised, unsupervised, and deep learning methods. Refer a friend and earn up to £500! Unfortunately, due to high numbers of applications, we are only able to respond to shortlisted applicants. If you More ❯

our customers' success. Technical Proficiency: Advanced Python Proficiency: Demonstrated expertise in writing clean, well-tested, and maintainable Python code. Cloud Deployment Expertise: Hands-on experience deploying applications and machine learning models in cloud environments (AWS strongly preferred, GCP/Azure a plus), using containers (Docker, Kubernetes) and infrastructure-as-code principles. Software Engineering Fundamentals: A strong understanding of core … in Pharma, Biotech, or Healthcare roles. You have previous experience in a customer-facing technical role such as Solutions Engineer, Sales Engineer, Developer Advocate, or Technical Consultant. You have deep experience with the AWS ecosystem and services relevant to ML, such as SageMaker, EC2, S3, IAM, and VPC. You are familiar with deep-learning frameworks like PyTorch More ❯

based in Bangkok. We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML … team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big More ❯

leadership role in our Applied Science team and across the company. This is a high-impact individual contributor position with mentoring and coaching responsibilities - ideal for someone who combines deep technical expertise with a passion for helping others grow. You'll help drive the end-to-end lifecycle of projects: from identifying opportunities in the latest research, through proof … of-concept, to production deployment. Your work will sit at the cutting edge of machine learning and reasoning systems, with a particular focus on neurosymbolic AI, complex planning, and fully explainable architectures. This role blends technical leadership with hands-on research. You'll set direction, influence others, and lead by example, all while mentoring colleagues and helping define best … on both technical and professional development. What We're Looking For We're seeking an experienced applied scientist who combines depth in ML with leadership as an individual contributor: Deep learning expertise with significant industry experience, including 2+ years applying it to language generation. Experience with LLMs, neurosymbolic integration, and knowledge representation. Demonstrable success leading as an individual More ❯

interest to you. The Data and Decision Support Capability has teams working across AI/ML areas such as RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, autonomy, image analysis and computer vision, generative AI, NLP, knowledge graphs and more. You will work with these colleagues in multi-disciplinary teams. Typical Responsibilities Lead technical delivery of … ML and/or statistical signal processing to sequential data and decision-making post PhD. Experience in software development for proof of concept in Python. Experience with machine and deep learning frameworks: TensorFlow, PyTorch, scikit-learn, etc. Domains of Particular Interest RF communications and CEMA Electronic or Electromagnetic Warfare (EW) Tracking and sensor data fusion Radar signal processing … and Project Management teams that design and implement defence solutions and digital transformation projects. Company BAE Systems Experience and Education Senior (5+ years of experience) Tagged as: Industry, Machine Learning, NLP, United Kingdom More ❯

our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Doctorate in Computer Vision, Machine Learning, or a related field with demonstratable experience in applied research or product development OR Master's degree in Computer Vision, Machine Learning, or a related field with demonstratable … experience in applied research or product development OR Bachelor's degree in Computer Vision, Machine Learning, or a related field with demonstratable experience in applied research or product development Solid experience working in multimodal learning, image understanding, or generative modelling. Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow, HuggingFace). Hands-on experience with … for high-quality image and video generation. Build scalable training pipelines for large-scale image-text datasets using discrete tokenisation (e.g. VQ-VAE, DALL E-style encoders). Optimize deep neural networks for deployment on Neural Processing Units (NPUs) and cloud environments, maximizing efficiency and performance. Collaborate with cross-functional teams to integrate models into Microsoft products and services. More ❯

or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of … to become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques … for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill An appreciation for the scientific method as applied to the commercial world More ❯

or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of … to become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques … for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill An appreciation for the scientific method as applied to the commercial world More ❯

quantitative academic field. Strong programming background; must be able to quickly become fluent in Python . Proficiency with key data science libraries (NumPy, Pandas, Scikit-Learn) and experience with deep learning frameworks (TensorFlow, PyTorch, or Caffe). Strong mathematical and statistical skills. Broad knowledge of core data science techniques, such as: Supervised/unsupervised machine learning Cross More ❯

in GenAIIC, you'll partner with technology and business teams to build new GenAI solutions that delight our customers. You will be responsible for directing a team of scientists, deep learning architects, and ML engineers to build generative AI models and pipelines, and deliver state-of-the-art solutions to customer's business and mission problems. Your team … our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising … When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field Knowledge of Python or R or other scripting language Experience in building quantitative solutions as a scientist or science manager Experience directly managing scientists or More ❯

end-to-end lifecycle of projects: from identifying opportunities in literature, through proof-of-concept, to real-world production. Your work will sit at the cutting edge of Machine Learning and reasoning systems, with a particular focus on neurosymbolic AI, complex planning, and fully explainable architectures. Why Join Us? Team - You'll join a world-class group of smart … engineers, articulating complex ideas clearly to technical and non-technical audiences. Analyse and inspect large-scale datasets to support neural training and symbolic extraction. What We're Looking For: Deep learning expertise with significant industry experience, and c. 2+ years applying it to language generation, including working with Large Language Models, neurosymbolic integration and knowledge representation. Experience with … Frameworks like Pytorch, HF Transformers, Tensorflow, JAX. Track record working as an independent contributor capable of end-to-end development with demonstrable experience in utilising and deploying transformer models. Deep knowledge of machine learning fundamentals and cloud experience. Enthusiasm to learn and get up to speed with cutting-edge technologies which you may not already be deeply familiar More ❯

applications Analyse large multi-modal datasets to extract insights and features that can be used by downstream AI models. Develop integrated AI solutions by combining fine-tuned LLMs, machine learning models, and custom algorithms to address complex marketing challenges. Stay abreast of the latest trends in AI research and integrate them into our products and services Communicate technical challenges … and solutions to non-technical stakeholders and team members. What we want from you: Experience in machine learning, with a strong knowledge of algorithms and principles. Proven track record of building and deploying machine learning models into production. Hands-on experience with both structured and unstructured data. Experience with deep learning models for either computer vision More ❯

Director of Machine Learning & AI Location: London/RemotePackage: Strong Salary + Benefits We're partnered with a fast-growing tech business that's investing heavily in its AI capability. They're looking for a proven ML/AI leader who can take charge of multiple high-performing teams and set the direction for how Machine Learning is … Engineering, Managers). Defining the ML/AI roadmap and aligning it to business outcomes. Driving best practice in MLOps, deployment, observability, and automation. Working with cutting-edge approaches: deep learning frameworks, foundation models, knowledge graphs, etc. Being the voice of ML/AI leadership, setting standards, mentoring, and building a culture of delivery. What they're looking … work. A chance to define and own the ML strategy in a business that sees it as a competitive edge, not a side project. If you're a Machine Learning Director who wants to be at the centre of a real AI build-out; leading teams, shaping strategy, and delivering meaningful impact, this is one of those rare opportunities. More ❯

Competitive base salary with significant bonus earning potential . What you'll be doing: Exploring, processing, and analysing complex time-series datasets. Designing and implementing advanced statistical, ML, and deep learning models for forecasting. Applying best practices in model development, testing, and validation. Working closely with quants and engineering teams to integrate models into investment workflows. Contributing directly More ❯