26 to 50 of 113 Deep Learning Jobs in England

programme and get a job or get your course fees back. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment ITOL Recruit has over ...

programme and get a job or get your course fees back. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment ITOL Recruit has over ...

programme and get a job or get your course fees back. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment ITOL Recruit has over ...

programme and get a job or get your course fees back. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment ITOL Recruit has over ...

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial Working with a FTSE 100 retail client who looking for 2x Machine Learning Engineers to expand their existing engineering team - this will be to support the delivery of advanced AI solutions. … requirement is for talented Machine Learning Engineers with excellent Python development skills and the ability to take ownership of the entire machine learning lifecycle. The successful candidate will be responsible for building, training and deploying machine learning models for end users, while also investigating, preparing and transforming ...

integrate into Anaplan Applications, translating raw customer data into automated, high-value business insights. Advanced Modeling & Timeseries Forecasting: Design, train, and implement robust Machine Learning (LightGBM, XGBoost) and Deep Learning (PyTorch) models specifically focused on complex demand sensing and resolving cold-start forecasting problems. Feature Engineering Pipelines … successfully building and deploying systems from prototype to production in a fast-paced environment. Strong predictive modeling foundation: Extensive experience with traditional ML algorithms, Deep Learning frameworks, and complex time-series forecasting. Experience developing production-grade Python code: High proficiency in Python, Pandas, and modern software practices (testing ...

Accepting applications until: 13 November 2026Job DescriptionYour New Role: Senior Machine Learning EngineerGlobal's Data team is looking for a Senior Machine Learning Engineer to build, deploy and scale machine learning solutions—turning data science ideas into robust, production-grade products. As a Senior Machine Learning … Outdoor. This is a hybrid role based at our Holborn office in central London. Key ResponsibilitiesModel Development & Optimisation: Design, build and optimise ML and deep-learning models—including for ad targeting and attribution—with a focus on scalability, performance and accuracy, and prototype and evaluate new approaches. ...

grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere. Senior Machine Learning Scientist - Search Marketing & TechWe're looking for a Senior Machine Learning Scientist to provide technical leadership within our Search Marketing & Tech organization … that clearly outline objectives, constraints and trade-offs for complex ML systemsModel Development & ProductionDesign and implement production-grade ML models (e.g., gradient-boosted trees, deep learning, optimization algorithms, bandits/RL policies) that operate reliably under real-world constraints in collaboration with engineering. Build robust training, evaluation ...

design, engineering, and delivery. We work closely with our clients to deliver secure, accessible, user-focused services that evolve with their needs. By combining deep technical expertise with people-centred design, we create solutions that deliver meaningful, lasting impact. Our consultants partner directly with client teams, embedding into organisations … agentic coding workflows. Advisory & Strategy: Provide technical consulting on AI product development, helping clients understand the distinction between standard ML and agentic AI.Continuous Learning: Stay updated with the latest trends in the AI engineering field, such as the modern AI stack, synthetic data generation, and Explainable AI.Key Skills/ ...

/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle — assessing client needs and data, selecting and customizing … models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. THE WORK Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions ...

Senior Manager/Associate DirectorYOU ARE As a senior AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full … solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. THE WORK Formulate real-world problems into ...

Machine Learning Researcher A fantastic opportunity for a Machine Learning Researcher with a strong academic background and a particular interest in Large Language Models. You will help develop practical AI applications, from early research and experimentation through to implementation, working with software engineers to bring ideas into real … benefits. A salary of £60,000 is available for a recent PhD graduate, with higher salaries for candidates with relevant experience. Requirements for Machine Learning Researcher: PhD in Machine Learning or a related discipline A strong academic record Experience using PyTorch LLM-focused experience through research, academic projects ...

LGBTQ+ business community. Please do not contact the recruiter directly. Accepting applications until: 13 November 2026 Job Description Your New Role : Senior Machine Learning Engineer Global's Data team is looking for a Senior Machine Learning Engineer to build, deploy and scale machine learning solutions-turning data … science ideas into robust, production-grade products. As a Senior Machine Learning Engineer at Global, you'll support use cases across DAX, our digital ad exchange-such as the cross-device audience identity graph and real-time targeting algorithms. You'll join a high-performing, cross-functional DAX squad ...

research prototypes using real-world data and operationally relevant problem statements. Investigate, design, implement and evaluate advanced AI methods, including but not limited to deep learning, multimodal AI, self-supervised learning, foundation models, generative AI, computer vision, NLP/LLMs, time-series analytics and reinforcement learning … Thales governance requirements. Create proofs of concept, publications, invention disclosures, patents, technical reports and reusable research assets around advanced AI topics such as multimodal learning, self-supervised learning, foundation models and human-AI collaboration. Package research outputs in a form that enables transition to AI engineering teams, including ...

span a wide range of AI and automation tools, including Virtual Assistants, Robotic Process Automation (RPA), Computer Vision, Natural Language Processing (NLP), Machine Learning, Deep Learning, Generative AI, Frontier LLMs, and Predictive AI. A strong candidate would have experience/exposure to nuances of these tools/ ...

span a wide range of AI and automation tools, including Virtual Assistants, Robotic Process Automation (RPA), Computer Vision, Natural Language Processing (NLP), Machine Learning, Deep Learning, Generative AI, Frontier LLMs, and Predictive AI. A strong candidate would have experience/exposure to nuances of these tools/ ...

databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent … whitepapers or publications to leading academic venues We are looking for a Senior ML Research Engineer with the following experience: Practical experience with Machine Learning problems, and a familiarity with Classical Machine Learning, Deep Learning and Statistical Modeling techniques Ph.D. in ML, NLP or a relevant ...

client engagements and across the practice. You will own the complete, end-to-end architecture of advanced AI platforms and solutions — spanning classical machine learning, generative AI, and agentic systems — ensuring every domain of the architecture is cohesively designed, technically sound, and purposefully aligned to client business objectives … into a unified, enterprise-ready system Build the practice's reusable reference architectures, frameworks, and assets, with a deliberate adopt-over-build stance Conduct deep-dive architecture workshops and working sessions with client executives and engineering teams Produce and govern the authoritative architecture artifacts — blueprints, reference architectures, ADRs ...

deployment of a line. You will work hand in hand with the automation business and tech teams across R&D and manufacturing. You bring deep, hands-on AI/engineering expertise in Physical AI and the judgement to turn ambiguous technical problems into shipped, production-grade systems, while mentoring … that matter. What you will gainYou will join a supportive team that values clear communication and practical problem solving. You will have access to learning and development to grow both technical and leadership skills. Your work will support technology that enables critical work across the company and helps improve ...

deployment of a line. You will work hand in hand with the automation business and tech teams across R&D and manufacturing. You bring deep, hands-on AI/engineering expertise in Physical AI and the judgement to turn ambiguous technical problems into shipped, production-grade systems, while mentoring … matter. What you will gain You will join a supportive team that values clear communication and practical problem solving. You will have access to learning and development to grow both technical and leadership skills. Your work will support technology that enables critical work across the company and helps improve ...

hand with the data analytics team & Tech partners in research to define the knowledge system, the agentic layer across the enterprise. You bring deep, hands-on AI/engineering expertise and the judgement to turn ambiguous technical problems into shipped, production-grade systems, while mentoring the engineers around you. … matter. What you will gain You will join a supportive team that values clear communication and practical problem solving. You will have access to learning and development to grow both technical and leadership skills. Your work will support technology that enables critical work across the company and helps improve ...

models. You bring the AI modeling and engineering that makes building, deploying and using models 10x more efficient. You bring deep, hands-on AI/engineering expertise and the judgement to turn ambiguous technical problems into shipped, production-grade systems, while mentoring the engineers around you. Key Responsibilities This … process simulation), enough to work with process modelers, understand what each approach needs, and spot where AI can make it 10x more efficient. Deep experience in building mechanistic models is not expected. Strong AI modeling skills, including model identification: identifying, selecting and calibrating the right model structure from process ...

models. You bring the AI modeling and engineering that makes building, deploying and using models 10x more efficient. You bring deep, hands-on AI/engineering expertise and the judgement to turn ambiguous technical problems into shipped, production-grade systems, while mentoring the engineers around you. Key Responsibilities This … process simulation), enough to work with process modelers, understand what each approach needs, and spot where AI can make it 10x more efficient. Deep experience in building mechanistic models is not expected. Strong AI modeling skills, including model identification: identifying, selecting and calibrating the right model structure from process ...

benefit: Image Processing Algorithms : Segmentation, Filter Design, Noise Removal, Compression, Super Resolution Computer Vision Algorithms : Tracking, Optical Flow, Particle Filtering, Pose Estimation Deep Learning techniques : Detection, Classification, Tracking, Siamese Networks Inverse Problems/Computational Imaging : Sparse Coding, Compressive Sensing Machine Learning : Support Vector Machines, Neural Networks Domain … Multi/Hyper-Spectral, RF, IR, SAR, STAP The primary development environments used within the department are Matlab/Simulink and Python (including PyTorch Deep Learning libraries). What's in it for you? Every day you will work in a friendly and motivated team You will play ...

Bioinformatician Are you a talented Bioinformatics Scientist with a passion for data science, machine learning, and genomics? We are seeking an ambitious and highly motivated individual to join an innovative research and technology team developing cutting-edge solutions in the field of functional genomics. This is an exciting opportunity … Responsibilities Lead statistical and bioinformatics analysis projects, delivering meaningful insights from complex biological datasets. Develop and enhance statistical methodologies and computational algorithms. Apply machine learning and artificial intelligence techniques to research and product development initiatives. Collaborate closely with laboratory scientists to support experimental design, data analysis, and interpretation. Analyse ...