101 to 125 of 1,068 Deep Learning Jobs in England

UKcaravans4hire and Bachcare in New Zealand. We unite under four core company values that serve as the foundation of everything we do: Being One Team, Owning It, Communicating Honestly. Learning, Growing, and Innovating. These values ensure we remain true to our original ethos and ensure we stay true to our Customers, Owners and Colleagues alike. About the Principal Data … You will provide thought leadership, mentor team members, and work cross-functionally to influence both technical and business strategy. You will lead the development and deployment of advanced machine learning and AI solutions, ensuring they are scalable, robust, and aligned with business priorities. This role is suited to a deeply experienced, commercially-minded individual who combines strong technical expertise … develop less experienced data scientists, fostering technical and professional growth Champion ethical AI, explainability and model governance throughout the lifecycle of our solutions Contribute to a culture of continuous learning, experimentation and data-informed decision making Skills and Qualifications: We are looking for those who can share in our company goals, values and ethos, who can grow alongside us More ❯

shift by doing work that matters. Job Description Role Overview The Lead Data Scientist is responsible for developing and deploying advanced AI/ML models, leveraging statistical techniques, machine learning, and deep learning to extract actionable insights. This role requires strong expertise in Python-based AI/ML development, big data processing, and cloud-based AI platforms … Data Exploration & Feature Engineering Perform thorough Exploratory Data Analysis (EDA) and identify key variables, patterns, and anomalies. Engineer and select features for optimal model performance, leveraging domain understanding. Machine Learning & Statistical Modelling Implement both classical ML methods (regression, clustering, time-series forecasting) and advanced algorithms (XGBoost, LightGBM). Address computer vision, NLP, and generative tasks using PyTorch, TensorFlow, or … plan, company performance bonuses, value-based recognition awards, referral bonus; Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; Work-Life Balance: Hybrid work and flexible working More ❯

Associate Director, Data Science and Innovation Are you a data science leader passionate about leveraging AI and machine learning to drive innovation in financial markets and transaction banking? Standard Chartered Bank is on an ambitious journey to embed cutting-edge AI solutions into all aspects of our Corporate and Investment Banking (CIB) business. We are looking for a senior … data scientist with expertise in both classical machine learning and the latest advancements in Large Language Models (LLMs) to help shape the future of financial services. Responsibilities Collaborate with product owners and business stakeholders to identify pain points, define use cases, and translate business needs into AI/ML solutions. Develop, test, and optimize AI models, ensuring they align … and analytics projects. Support risk and audit management for AI applications, identifying potential risks and ensuring compliance with regulatory frameworks. Skills and Qualifications Skills & Expertise Strong experience in machine learning, deep learning, and statistical analysis. Expertise in Python, with proficiency in ML and NLP libraries such as Scikit-learn, TensorFlow, Faiss, LangChain, Transformers and PyTorch. Experience with More ❯

their business needs. Your work will range from training next-generation AI cybersecurity firewall LLMs to training foundation genomic models making predictions about life-saving drug proteins. Having a deep curiosity about the hardest questions about LLMs will also motivate various research opportunities on how to apply ML to the forefront of enterprise data. If you are excited about … techniques to integrate tool-calling into production-serving LLMs. Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems. Ideally you'd have: At least 1-3 years of model training, deployment and maintenance experience in a production … environment Strong skills in NLP, LLMs and deep learning Solid background in algorithms, data structures, and object-oriented programming Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment Experience building products with LLMs including knowing the ins and outs of evaluation, experimentation, and designing solutions to More ❯

Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Lead Machine Learning Engineer, Associate Director 1 Requisition ID: 47862 Business Unit: Fitch Group Category: Information Technology Location: Manchester, GB Date Posted: Mar 24, 2025 Fitch Group is currently seeking a Lead Machine Learning Engineer, Associate Director based out of … and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. The Fitch Group's AI Implementation Chapter is seeking a dynamic Lead Machine Learning Engineer with 6+ years of experience, including leadership and people management. This role involves designing AI/ML solutions and ensuring implementation of AI initiatives across the Fitch Ratings … deployment of AI Establish and maintain guidelines and processes for AI/ML governance How You’ll Make an Impact: Lead and manage a team of 2-3 machine learning engineers, balancing direct leadership with technical contributions to projects Oversee the design, development, and deployment of scalable AI/ML solutions, focusing on advanced generative AI frameworks, large language More ❯

Fitch Group is currently seeking a Lead Machine Learning Engineer, Associate Director based out of our London office. As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch … dual headquarters in London and New York, Fitch Group is owned by Hearst. About the Team The Fitch Group's AI Implementation Chapter is seeking a dynamic Lead Machine Learning Engineer with 6+ years of experience, including leadership and people management. This role involves designing AI/ML solutions and ensuring implementation of AI initiatives across the Fitch Ratings … deployment of AI Establish and maintain guidelines and processes for AI/ML governance How You'll Make an Impact: Lead and manage a team of 2-3 machine learning engineers, balancing direct leadership with technical contributions to projects Oversee the design, development, and deployment of scalable AI/ML solutions, focusing on advanced generative AI frameworks, large language More ❯

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. Fitch Group is currently seeking a Senior Machine Learning Engineer based out of our London office. As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion … exciting and supportive environment where you can grow, innovate, and make a difference. About the Team The Fitch Group's AI Implementation Chapter is seeking a seasoned Senior Machine Learning Engineer with 6+ years of experience to drive advanced AI/ML initiatives across the Fitch Ratings organization. In this role, you will not only design and implement enterprise … and ML solutions into existing products and systems, including working with LLMs and agentic workflows. Proficiency in Python and strong knowledge of ML algorithms-ranging from classical techniques to deep learning methods. Proven experience in training, fine-tuning, and deploying neural network models using frameworks like PyTorch, with a focus on optimizing performance and scalability for realworld applications. More ❯

simple to switch and save money and that’s why good things happen when you meerkat. We’d love you to be part of our journey. As a Machine Learning Engineer, you will be working closely with data scientists and a wide range of business and tech stakeholders with varying levels of understanding towards Machine Learning, and will … identify the tech requirements to productionise automated, scalable and stable Machine Learning products integrated into production systems that deliver actions and/or actionable insights. Everyone is welcome. We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins at every turn. We are an inclusive workplace and our employees are comfortable bringing … would love to hear what makes you great for this role. Some of the great things you’ll be doing: Develop, maintain, monitor (health & performance) and optimise integrated Machine Learning products. Work closely with Data Engineering, Platform and Architecture teams to improve and develop new products, integrations, tools and technologies. Work with data scientists to productionise various ML models More ❯

Join to apply for the Machine Learning Engineer role at Compare the Market Join to apply for the Machine Learning Engineer role at Compare the Market Our purpose is to make great financial decision making a breeze for everyone, and that purpose drives us every day. It’s why we’re on a mission to create an automated … simple to switch and save money and that’s why good things happen when you meerkat. We’d love you to be part of our journey. As a Machine Learning Engineer, you will be working closely with data scientists and wide range of business and tech stakeholders with varying levels of understanding towards Machine Learning, and will identify … the tech requirements to productionise automated, scalable and stable Machine Learning products integrated into production systems that deliver actions and/or actionable insights. Everyone is welcome. We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins at every turn. We are an inclusive workplace and our employees are comfortable bringing their More ❯

Fitch Group is currently seeking a Machine Learning Engineer based out of our Manchester office. As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group's culture … analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. About the Team The Fitch Group's AI Implementation Chapter is seeking a Machine Learning Engineer to be part of a team dedicated to building and supporting Generative AI, Machine Learning (ML) and Data Science solutions across the Fitch Ratings organization. This position … Exposure/experience in containerization technologies like Docker, Kubernetes, AWS EKS etc. Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g., AWS Bedrock, S3, SageMaker; Azure AI Search, OpenAI, blob storage, etc. Bachelor More ❯

unique position of daily directed guidance stands to redefine primary care while helping people live happier, healthier, and longer. Job Summary We're seeking a Bayesian Data Scientist with deep expertise in probabilistic modeling and a strong grasp of modern AI advancements, including foundation models , generative AI , and variational inference . This role is perfect for someone who thrives … challenges, optimizing predictions under uncertainty, and developing interpretable, high-impact models in real-world systems. You will apply state-of-the-art techniques from Bayesian statistics and modern machine learning to build scalable, efficient, and insightful models-driving real business impact. Responsibilities Translate predictive modeling problems and business constraints into robust Bayesian or probabilistic AI solutions. Design and implement … networks , variational autoencoders , diffusion models , and Gaussian processes for modern AI use cases. Collaborate closely with product, engineering, and business teams to build end-to-end modeling solutions. Conduct deep-dive statistical and machine learning analyses, simulations, and experimental design. Stay current with emerging trends in generative modeling, causality, uncertainty quantification, and responsible AI. Requirements/Qualifications: Strong More ❯

unique position of daily directed guidance stands to redefine primary care while helping people live happier, healthier, and longer. Job Summary: We're seeking a Bayesian Data Scientist with deep expertise in probabilistic modeling and a strong grasp of modern AI advancements, including foundation models , generative AI , and variational inference . This role is perfect for someone who thrives … challenges, optimizing predictions under uncertainty, and developing interpretable, high-impact models in real-world systems. You will apply state-of-the-art techniques from Bayesian statistics and modern machine learning to build scalable, efficient, and insightful models-driving real business impact. Location: Remote/Hybrid/USA-SF, USA-remote, UK-London, UK-remote Responsibilities: Translate predictive modeling problems … networks , variational autoencoders , diffusion models , and Gaussian processes for modern AI use cases. Collaborate closely with product, engineering, and business teams to build end-to-end modeling solutions. Conduct deep-dive statistical and machine learning analyses, simulations, and experimental design. Stay current with emerging trends in generative modeling, causality, uncertainty quantification, and responsible AI. Requirements/Qualifications: Strong More ❯

Job ID: AWS EMEA SARL (UK Branch) Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in … ML systems to address real-world challenges. Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted … 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 and Career Growth We're continuously More ❯

Description What We're Looking For: We are looking for a passionate Data Scientist specializing in Natural Language Processing (NLP) and Machine Learning (ML) to contribute to Data Enrichment efforts within Meltwater. As a part of this role, you will work with experienced team members and product managers to design, test, and implement machine learning solutions. Through Meltwater … to reach new heights. Join us in crafting something extraordinary. What You'll Do: Contribute to the development of scalable algorithms for processing large datasets, implement and evaluate machine learning and deep learning algorithms for tasks such as text classification, sentiment analysis, entity recognition, and summarization. Assist in the design, development, and testing of ML models for … Degree in Computer Science or a related field, with 0-2 years working experience. Programming Language: Proficiency in Python. Solid understanding of data structures and algorithms. Proficient in Machine Learning, including understanding Neural Networks and foundational concepts of NLP tasks such as Tokenization, Named Entity Recognition (NER), Sentiment Analysis, Part-of-Speech (POS) Analysis. Experience or coursework in Deep More ❯

of experts to solve complex business challenges using cutting-edge AI technologies. Key Responsibilities Design and architect solutions using state-of-the-art frameworks and cloud technologies. Build machine learning models for marketing attribution, predicting customer propensity, segmenting customer groups based on behavioral data, and recommending products and/or content. Fine-tune Large Language Models to business-specific … solutions. What We Are Looking For Degree in Computer Science, Data Science, Information Management, or a related field. 3+ years of experience in AI development. Strong understanding of machine learning, deep learning, and other AI techniques. Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch). Experience with data processing and analysis tools (e.g., Pandas, SQL … days from the office, depending on location). Social and Cultural Events, opportunities to connect with colleagues through organized activities and celebrations. Inspirational Talks with guest speakers and events. Learning and Development opportunities to support your growth. Buddy Programme to help you settle in during your first weeks at DEPT. A commitment to doing good: DEPT has been a 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 ❯

Align with our industry partners to develop your career and the solutions we deliver for our clients. In this role you will: Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics to identify new and innovative opportunities. … Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Contribute … Develop others by bringing your unique knowledge and skillsets to the wider practice. We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies More ❯

of experts to solve complex business challenges using cutting-edge AI technologies. KEY RESPONSIBILITIES Design and architect solutions using state-of-the-art frameworks and cloud technologies Build machine learning models for marketing attribution, predicting customer propensity, segmenting customer groups based on behavioural data, and recommending products and/or content. Fine-tune Large Language Models to business-specific … solutions. WHAT WE ARE LOOKING FOR Degree in Computer Science, Data Science, Information Management, or a related field. 3+ years of experience in AI development. Strong understanding of machine learning, deep learning, and other AI techniques. Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch). Experience with data processing and analysis tools (e.g., Pandas, SQL … . Social and Cultural Events, plenty of opportunities to connect with colleagues through organised activities and celebrations. Inspirational Talks, bringing the outside in with regular guest speakers and events. Learning and Development, supporting your growth with continuous opportunities to learn and advance. Buddy Programme: You will be paired with a 'Buddy' to help you through your first weeks' at More ❯

of experts to solve complex business challenges using cutting-edge AI technologies. KEY RESPONSIBILITIES Design and architect solutions using state-of-the-art frameworks and cloud technologies Build machine learning models for marketing attribution, predicting customer propensity, segmenting customer groups based on behavioural data, and recommending products and/or content. Fine-tune Large Language Models to business-specific … solutions. WHAT WE ARE LOOKING FOR Degree in Computer Science, Data Science, Information Management, or a related field. 3+ years of experience in AI development. Strong understanding of machine learning, deep learning, and other AI techniques. Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch). Experience with data processing and analysis tools (e.g., Pandas, SQL … . Social and Cultural Events, plenty of opportunities to connect with colleagues through organised activities and celebrations. Inspirational Talks, bringing the outside in with regular guest speakers and events. Learning and Development, supporting your growth with continuous opportunities to learn and advance. Buddy Programme: You will be paired with a 'Buddy' to help you through your first weeks' at More ❯

Are you a data-driven problem solver with expertise in machine learning and data manipulation? PwC is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and SQL. As a Data Scientist at PwC, you will work … team collaborating with business stakeholders, technology teams, and other relevant groups to understand their needs, gather requirements, and align AI solutions with organisational goals. Prototyping, developing, and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. Model validation and model testing of production models. … Presenting findings to senior internal and external stakeholders in written reports and presentations. This role is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL More ❯

Are you a data-driven problem solver with expertise in machine learning and data manipulation? PwC is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and SQL. As a Data Scientist at PwC, you will work … team collaborating with business stakeholders, technology teams, and other relevant groups to understand their needs, gather requirements, and align AI solutions with organisational goals. Prototyping, developing, and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. Model validation and model testing of production models. … Presenting findings to senior internal and external stakeholders in written reports and presentations. This role is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL More ❯

Are you a data-driven problem solver with expertise in machine learning and data manipulation? PwC is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and SQL. As a Data Scientist at PwC, you will work … team collaborating with business stakeholders, technology teams, and other relevant groups to understand their needs, gather requirements, and align AI solutions with organisational goals. Prototyping, developing, and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. Model validation and model testing of production models. … Presenting findings to senior internal and external stakeholders in written reports and presentations. This role is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL More ❯

Are you a data-driven problem solver with expertise in machine learning and data manipulation? PwC is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and SQL. As a Data Scientist at PwC, you will work … team collaborating with business stakeholders, technology teams, and other relevant groups to understand their needs, gather requirements, and align AI solutions with organisational goals. Prototyping, developing, and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. Model validation and model testing of production models. … Presenting findings to senior internal and external stakeholders in written reports and presentations. This role is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL More ❯

play a critical role in supporting all of Liberty Global’ s AI-related efforts from a security standpoint and ensuring the technical security and integrity of AI and machine learning systems within the organization. You will be responsible for developing, designing, implementing, and maintaining robust security standards, measures and controls for AI and ML applications, models, and data whilst … to relevant stakeholders We tend to look for people with: Proven experience in Security Architecture or similar team(s), with a focus on AI/ML security, demonstrating a deep understanding of AI technologies, best practices and standards, algorithms, models, frameworks, regulations and controls. Extensive experience in technical security controls, security principles, AI/ML pipelines and AI-/… programming languages commonly used in software development and AI/ML, such as Python, R, C++, Rust or Java, and their associated security considerations. Coding experience with AI & ML, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn. Personal Attributes Drive and lead continuous improvement with energy and passion Displays More ❯

stats etc.) Good working knowledge of Python Implementing end-to-end ML pipelines Hand-on experience in Python data science ecosystem (e.g. numpy, scipy, pandas, scikit-learn, matplotlib etc.) Deep Learning frameworks (TensorFlow, PyTorch, MLX) Popular classification and regression techniques Unsupervised learning & matrix factorisation algorithms Natural Language Processing (NLP) and document processing Generative AI (open and closed More ❯