1 to 25 of 221 Permanent Deep Learning Jobs in England

Deep Learning Engineer – Manipulation (Brio Digital, on behalf of our client) Brio Digital is partnered with a pioneering robotics client who are building advanced, scalable, and safe AI-driven systems designed to transform how humans and machines interact in the real world. Their first-generation platform is tackling labour automation challenges, enabling efficiency and safety across industrial use … construction, and logistics. This is a unique opportunity to join an organisation at the frontier of applied AI and robotics, where you’ll be solving cutting-edge challenges in deep learning and embodied intelligence. The Role We’re looking for multiple Deep Learning Engineers (Manipulation) to join the team. This is a deep learning … lifecycle: training policies, curating data, leveraging synthetic datasets, and deploying real-time inference models. Robotics experience is not strictly required, but you must bring a strong track record in deep learning and the ability to adapt quickly to new domains. What You’ll Be Doing Train manipulation policies using representation learning, behaviour cloning, and reinforcement learning. Partner More ❯

Deep Learning Engineer – Manipulation (Brio Digital, on behalf of our client) Brio Digital is partnered with a pioneering robotics client who are building advanced, scalable, and safe AI-driven systems designed to transform how humans and machines interact in the real world. Their first-generation platform is tackling labour automation challenges, enabling efficiency and safety across industrial use … construction, and logistics. This is a unique opportunity to join an organisation at the frontier of applied AI and robotics, where you’ll be solving cutting-edge challenges in deep learning and embodied intelligence. The Role We’re looking for multiple Deep Learning Engineers (Manipulation) to join the team. This is a deep learning … lifecycle: training policies, curating data, leveraging synthetic datasets, and deploying real-time inference models. Robotics experience is not strictly required, but you must bring a strong track record in deep learning and the ability to adapt quickly to new domains. What You’ll Be Doing Train manipulation policies using representation learning, behaviour cloning, and reinforcement learning. Partner More ❯

NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. The candidate must excel in working in … a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation … experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. Job Responsibilities • Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks More ❯

generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data … Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. Job Responsibilities Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in … our knowledge sharing community Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into More ❯

multiple locations — London, Edinburgh, Newcastle, and Erskine — with the expectation to attend any of these offices when required. Project Description: We are seeking a highly experienced Data Scientist with deep expertise in Python and advanced machine learning techniques. You need to have a strong background in statistical analysis, big data platforms, and cloud integration, and you will be … responsible for designing and deploying scalable data science solutions. Responsibilities: Develop and deploy machine learning, deep learning, and predictive models. Perform statistical analysis, data mining, and feature engineering on large datasets. Build and optimize data pipelines and ETL workflows. Collaborate with data engineers and business stakeholders to deliver actionable insights. Create compelling data visualizations using tools like … experience in Data Science with strong expertise in Python and libraries such as Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, or PyTorch. Proven ability to design, develop, and deploy machine learning, deep learning, and predictive models to solve complex business problems. Strong background in statistical analysis, data mining, and feature engineering for large-scale structured and unstructured datasets. More ❯

beyond Clearance: SC Cleared Package: Up to £100,000 base + benefits My consulting client seeks The Opportunity We’re looking for a Principal Data Science Consultant who combines deep technical capability with a strong consulting mindset. You’ll help clients unlock the value in their data, applying advanced AI, ML, and mathematical modelling techniques to drive measurable business … and beta phases. Act as a trusted advisor to clients – helping them define their digital vision, identify opportunities, and translate data science into tangible value. Design and implement machine learning , deep learning , and large language model (LLM) solutions for real-world business challenges. Bring strong mathematical reasoning and estimation skills to build robust, scalable models. Provide technical … multi-disciplinary teams – often embedded onsite with clients . Drive delivery outcomes with a self-starter mindset , ensuring pace, quality, and client satisfaction. About You Strong background in Machine Learning , Deep Learning , and Large Language Models Solid understanding of mathematics , statistics , and data modelling fundamentals. Proven consulting experience – able to engage clients, manage ambiguity, and deliver under More ❯

beyond Clearance: SC Cleared Package: Up to £100,000 base + benefits My consulting client seeks The Opportunity We’re looking for a Principal Data Science Consultant who combines deep technical capability with a strong consulting mindset. You’ll help clients unlock the value in their data, applying advanced AI, ML, and mathematical modelling techniques to drive measurable business … and beta phases. Act as a trusted advisor to clients – helping them define their digital vision, identify opportunities, and translate data science into tangible value. Design and implement machine learning , deep learning , and large language model (LLM) solutions for real-world business challenges. Bring strong mathematical reasoning and estimation skills to build robust, scalable models. Provide technical … multi-disciplinary teams – often embedded onsite with clients . Drive delivery outcomes with a self-starter mindset , ensuring pace, quality, and client satisfaction. About You Strong background in Machine Learning , Deep Learning , and Large Language Models Solid understanding of mathematics , statistics , and data modelling fundamentals. Proven consulting experience – able to engage clients, manage ambiguity, and deliver under More ❯

wide (client site travel required) Clearance: SC Cleared Package: Up to £100,000 base + benefits The Opportunity We’re looking for a Principal Data Science Consultant who combines deep technical capability with a strong consulting mindset. You’ll help clients unlock the value in their data, applying advanced AI, ML, and mathematical modelling techniques to drive measurable business … and beta phases. Act as a trusted advisor to clients – helping them define their digital vision, identify opportunities, and translate data science into tangible value. Design and implement machine learning , deep learning , and large language model (LLM) solutions for real-world business challenges. Bring strong mathematical reasoning and estimation skills to build robust, scalable models. Provide technical … multi-disciplinary teams – often embedded onsite with clients . Drive delivery outcomes with a self-starter mindset , ensuring pace, quality, and client satisfaction. About You Strong background in Machine Learning , Deep Learning , and Large Language Models Solid understanding of mathematics , statistics , and data modelling fundamentals. Proven consulting experience – able to engage clients, manage ambiguity, and deliver under More ❯

wide (client site travel required) Clearance: SC Cleared Package: Up to £100,000 base + benefits The Opportunity We’re looking for a Principal Data Science Consultant who combines deep technical capability with a strong consulting mindset. You’ll help clients unlock the value in their data, applying advanced AI, ML, and mathematical modelling techniques to drive measurable business … and beta phases. Act as a trusted advisor to clients – helping them define their digital vision, identify opportunities, and translate data science into tangible value. Design and implement machine learning , deep learning , and large language model (LLM) solutions for real-world business challenges. Bring strong mathematical reasoning and estimation skills to build robust, scalable models. Provide technical … multi-disciplinary teams – often embedded onsite with clients . Drive delivery outcomes with a self-starter mindset , ensuring pace, quality, and client satisfaction. About You Strong background in Machine Learning , Deep Learning , and Large Language Models Solid understanding of mathematics , statistics , and data modelling fundamentals. Proven consulting experience – able to engage clients, manage ambiguity, and deliver under More ❯

wide (client site travel required) Clearance: SC Cleared Package: Up to £100,000 base + benefits The Opportunity We’re looking for a Principal Data Science Consultant who combines deep technical capability with a strong consulting mindset. You’ll help clients unlock the value in their data, applying advanced AI, ML, and mathematical modelling techniques to drive measurable business … and beta phases. Act as a trusted advisor to clients – helping them define their digital vision, identify opportunities, and translate data science into tangible value. Design and implement machine learning , deep learning , and large language model (LLM) solutions for real-world business challenges. Bring strong mathematical reasoning and estimation skills to build robust, scalable models. Provide technical … multi-disciplinary teams – often embedded onsite with clients . Drive delivery outcomes with a self-starter mindset , ensuring pace, quality, and client satisfaction. About You Strong background in Machine Learning , Deep Learning , and Large Language Models Solid understanding of mathematics , statistics , and data modelling fundamentals. Proven consulting experience – able to engage clients, manage ambiguity, and deliver under More ❯

wide (client site travel required) Clearance: SC Cleared Package: Up to £100,000 base + benefits The Opportunity We’re looking for a Principal Data Science Consultant who combines deep technical capability with a strong consulting mindset. You’ll help clients unlock the value in their data, applying advanced AI, ML, and mathematical modelling techniques to drive measurable business … and beta phases. Act as a trusted advisor to clients – helping them define their digital vision, identify opportunities, and translate data science into tangible value. Design and implement machine learning , deep learning , and large language model (LLM) solutions for real-world business challenges. Bring strong mathematical reasoning and estimation skills to build robust, scalable models. Provide technical … multi-disciplinary teams – often embedded onsite with clients . Drive delivery outcomes with a self-starter mindset , ensuring pace, quality, and client satisfaction. About You Strong background in Machine Learning , Deep Learning , and Large Language Models Solid understanding of mathematics , statistics , and data modelling fundamentals. Proven consulting experience – able to engage clients, manage ambiguity, and deliver under More ❯

wide (client site travel required) Clearance: SC Cleared Package: Up to £100,000 base + benefits The Opportunity We’re looking for a Principal Data Science Consultant who combines deep technical capability with a strong consulting mindset. You’ll help clients unlock the value in their data, applying advanced AI, ML, and mathematical modelling techniques to drive measurable business … and beta phases. Act as a trusted advisor to clients – helping them define their digital vision, identify opportunities, and translate data science into tangible value. Design and implement machine learning , deep learning , and large language model (LLM) solutions for real-world business challenges. Bring strong mathematical reasoning and estimation skills to build robust, scalable models. Provide technical … multi-disciplinary teams – often embedded onsite with clients . Drive delivery outcomes with a self-starter mindset , ensuring pace, quality, and client satisfaction. About You Strong background in Machine Learning , Deep Learning , and Large Language Models Solid understanding of mathematics , statistics , and data modelling fundamentals. Proven consulting experience – able to engage clients, manage ambiguity, and deliver under More ❯

client site trvel to Plymouth) Clearance: SC Cleared Package: Up to £100,000 base + benefits The Opportunity We're looking for a Principal Data Science Consultant who combines deep technical capability with a strong consulting mindset. You'll help clients unlock the value in their data, applying advanced AI, ML, and mathematical modelling techniques to drive measurable business … and beta phases. Act as a trusted advisor to clients - helping them define their digital vision, identify opportunities, and translate data science into tangible value. Design and implement machine learning , deep learning , and large language model (LLM) solutions for real-world business challenges. Bring strong mathematical reasoning and estimation skills to build robust, scalable models. Provide technical … multi-disciplinary teams - often embedded onsite with clients . Drive delivery outcomes with a self-starter mindset , ensuring pace, quality, and client satisfaction. About You Strong background in Machine Learning , Deep Learning , and Large Language Models Solid understanding of mathematics , statistics , and data modelling fundamentals. Proven consulting experience - able to engage clients, manage ambiguity, and deliver under More ❯

significant contribution to the design, development, and implementation of advanced AI/ML models, frameworks, and systems. A notable part of the role involves building, training, and optimising machine learning models, including deep learning computer vision models, and fine-tuning natural language processing (NLP), and integrating third party generative AI models. Ideal background: • 3+ years of experience … in machine learning, deep learning or AI engineering • Advanced proficiency in Python and ML frameworks like PyTorch • Experience deploying and maintaining scalable production-grade AI systems • Strong understanding of data pipelines, MLOps and cloud platforms (AWS and Azure) • Experience working in small or mid-sized tech/software development environments (rather than in corporate environments) would be More ❯

significant contribution to the design, development, and implementation of advanced AI/ML models, frameworks, and systems. A notable part of the role involves building, training, and optimising machine learning models, including deep learning computer vision models, and fine-tuning natural language processing (NLP), and integrating third party generative AI models. Ideal background: • 3+ years of experience … in machine learning, deep learning or AI engineering • Advanced proficiency in Python and ML frameworks like PyTorch • Experience deploying and maintaining scalable production-grade AI systems • Strong understanding of data pipelines, MLOps and cloud platforms (AWS and Azure) • Experience working in small or mid-sized tech/software development environments (rather than in corporate environments) would be More ❯

Research Team, working at the forefront of generative AI and its applications in life sciences. Our team is dedicated to building foundational expertise and developing the next generation of deep learning technologies. Roles are available for both recent graduates and senior profiles. Generative foundation models like ESM-3 1 , AlphaFold 2 , RFDiffusion 3 , ProteinMPNN 4 are revolutionising computational … Develop Biological Foundation Models Contribute to the creation of new models that push the boundaries of what's possible in computational biology. Collaborate Across Disciplines Work closely with Machine Learning Engineers, Research Engineers, Computational Biologists, and other experts. Leverage Cutting-Edge Resources Utilise our near-exascale supercomputing cluster, Kyber 9 , to conduct large-scale training and evaluation of generative … models. Publish and Present Research Share your findings at top-tier conferences and in leading journals. Responsibilities Innovate in Deep Learning Research Develop and implement novel research on multimodal generative foundation models and their biological applications. Contribute to Team Success Collaborate with team members to achieve research goals and contribute to a supportive, knowledge-sharing environment. Engage in More ❯

seeking Applied Research Scientists with expertise in RNA modeling, RNA optimization, or RNA design to join our world-class, multi-disciplinary team. This role sits at the intersection of deep scientific research and practical product development, aimed at building cutting-edge biological AI models and deploying them to researchers advancing the life sciences. Applied Research Scientists at InstaDeep leverage … their deep expertise in scientific principles, artificial intelligence, and computational biology to create more accurate, efficient, and scalable tools that enhance our understanding of biology and accelerate the development of medical treatments, including RNA therapeutics. This position demands close collaboration across AI research, biology, engineering, and business teams, as well as with strategic partners like BioNTech. Success in this … design, optimisation and modelling. Design, implement, and evaluate proof-of-concept methods and benchmarking experiments using state-of-the-art approaches. Leverage both classical computational biology tools and modern deep learning approaches for tasks such as RNA design, optimization, and molecular modeling. Enhance the understanding of AI model behavior in biological applications by contributing to interpretability and performance More ❯

Start Your Career as a Machine Learning Engineer Are you excited by the idea of building intelligent systems that learn from data? Are you looking to start a career at the intersection of software engineering and data science? We are looking for a motivated and curious Graduate Machine Learning Engineer to join our growing AI & Machine Learning team. In this role, you’ll help design, develop, and deploy machine learning models that solve real-world problems — all while receiving hands-on training, mentoring, and support from experienced ML engineers and data scientists. Whether you studied Computer Science, Engineering, Data Science, or Maths — if you're passionate about machine learning, love to build, and eager … What You’ll Be Doing You’ll play a key role in helping our team develop and deliver ML-powered solutions: Model Development : Assist in building and training machine learning and deep learning models using Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn Data Preparation : Work on collecting, cleaning, transforming, and analysing large datasets for More ❯

Start Your Career as a Machine Learning Engineer Are you excited by the idea of building intelligent systems that learn from data? Are you looking to start a career at the intersection of software engineering and data science? We are looking for a motivated and curious Graduate Machine Learning Engineer to join our growing AI & Machine Learning team. In this role, you’ll help design, develop, and deploy machine learning models that solve real-world problems — all while receiving hands-on training, mentoring, and support from experienced ML engineers and data scientists. Whether you studied Computer Science, Engineering, Data Science, or Maths — if you're passionate about machine learning, love to build, and eager … What You’ll Be Doing You’ll play a key role in helping our team develop and deliver ML-powered solutions: Model Development : Assist in building and training machine learning and deep learning models using Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn Data Preparation : Work on collecting, cleaning, transforming, and analysing large datasets for More ❯

future of e commerce delivery and addressing the core challenges in our world class operations space! Key job responsibilities Advanced Modeling and Algorithm Development: Design and implement sophisticated machine learning models for logistics optimization Develop complex time series forecasting algorithms for demand prediction and resource allocation AI and Machine Learning Integration: Architect and deploy AI powered systems to … enhance decision making in logistics operations Implement deep learning techniques for image recognition in package sorting and handling Develop reinforcement learning algorithms for adaptive scheduling and resource management Big Data Analytics and Processing: Design and implement distributed computing solutions for processing massive logistics datasets Utilize cloud computing platforms (e.g. AWS) for scalable data processing and analysis AI … Driven Workflow Optimization: Design and implement AI agents for autonomous decision making in logistics processes Create machine learning models for customer behavior analysis and personalized delivery options Software Development and System Architecture: Write efficient, scalable code in languages such as Python, Java, or C++ Develop and maintain complex software systems for logistics optimization Stay at the front of AI More ❯

design solutions that push the boundaries of camera technology and image quality. Key Responsibilities: Design, develop, and optimize algorithms for camera image processing, calibration, and quality assessment. Implement machine learning and deep learning models for tasks such as denoising, segmentation, HDR imaging, and artifact detection. Collaborate with hardware and software teams to integrate algorithms into camera systems … quality evaluation and performance monitoring. Required Skills & Experience: Proven experience in camera algorithms, image processing, or computer vision. Strong programming skills in Python, C++, and MATLAB. Experience with machine learning/deep learning frameworks such as PyTorch or TensorFlow. Knowledge of imaging sensors, optics, and camera systems. Hands-on experience with image quality assessment, segmentation, or calibration More ❯

design solutions that push the boundaries of camera technology and image quality. Key Responsibilities: Design, develop, and optimize algorithms for camera image processing, calibration, and quality assessment. Implement machine learning and deep learning models for tasks such as denoising, segmentation, HDR imaging, and artifact detection. Collaborate with hardware and software teams to integrate algorithms into camera systems … quality evaluation and performance monitoring. Required Skills & Experience: Proven experience in camera algorithms, image processing, or computer vision. Strong programming skills in Python, C++, and MATLAB. Experience with machine learning/deep learning frameworks such as PyTorch or TensorFlow. Knowledge of imaging sensors, optics, and camera systems. Hands-on experience with image quality assessment, segmentation, or calibration More ❯

or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. What You'll Do: Train policies via representation learning, behaviour cloning and RL; own the full loop from data to deployment. Partner with teleoperations to drive data collection: specify what “good” looks like, ensure diversity/coverage, and … failure cases into retraining. Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‐time edge inference. We’re Looking For: 3+ years building deep‐learning systems (industry or research) with shipped models or published artifacts to show for it. Hands‐on with at least one of: LLMs, VLMs, or image/video … generative models — architecture, training, and inference. Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies. Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. You document experiments clearly and communicate trade‐offs crisply. Nice-to-Have: Robotics or autonomous driving experience. RL for LLMs or robotics (PPO More ❯

or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. What You'll Do: Train policies via representation learning, behaviour cloning and RL; own the full loop from data to deployment. Partner with teleoperations to drive data collection: specify what “good” looks like, ensure diversity/coverage, and … failure cases into retraining. Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‐time edge inference. We’re Looking For: 3+ years building deep‐learning systems (industry or research) with shipped models or published artifacts to show for it. Hands‐on with at least one of: LLMs, VLMs, or image/video … generative models — architecture, training, and inference. Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies. Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. You document experiments clearly and communicate trade‐offs crisply. Nice-to-Have: Robotics or autonomous driving experience. RL for LLMs or robotics (PPO More ❯

or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. What You'll Do: Train policies via representation learning, behaviour cloning and RL; own the full loop from data to deployment. Partner with teleoperations to drive data collection: specify what “good” looks like, ensure diversity/coverage, and … failure cases into retraining. Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‐time edge inference. We’re Looking For: 3+ years building deep‐learning systems (industry or research) with shipped models or published artifacts to show for it. Hands‐on with at least one of: LLMs, VLMs, or image/video … generative models — architecture, training, and inference. Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies. Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. You document experiments clearly and communicate trade‐offs crisply. Nice-to-Have: Robotics or autonomous driving experience. RL for LLMs or robotics (PPO More ❯