126 to 150 of 206 Deep Learning Jobs in England

values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin'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. … 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 ...

values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin'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. … 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 ...

Compensation: Competitive Base + Performance Package Location: London, UK Overview We are partnering with an exciting, disruptive technology company at the forefront of machine learning (ML) and high-performance GPU computing. This innovative firm is leveraging cutting-edge GPU technology to optimize machine learning algorithms and computational models … experiences. The Role We are seeking a Low-Level C++ Engineer to join their team and work directly on optimizing GPU performance for machine learning (ML) workloads. As part of the ML optimization team, you will be responsible for developing and fine-tuning GPU-level solutions that accelerate machine ...

offer a competitive salary, a great location, and a supportive, people-first culture where your growth truly matters. With access to global projects, learning opportunities, and an inclusive environment that values every voice, you’ll have the space to shape the future with us.About The TeamYou’ll be joining … environment.We are building a next-generation inventory prediction & replenishment optimization platform to support JD’s global fulfilment services. We are looking for a Machine Learning Engineer who are passionate about turning machine learning, and research into real, large-scale business impact.As a Machine Learning Engineer focusing ...

building a next‐generation inventory prediction & replenishment optimization platform to support JD’s global fulfilment services. We are looking for a Machine Learning Engineer who is passionate about turning machine learning and research into real, large‐scale business impact. As a Machine Learning Engineer focusing on demand … global inventory flow decisions. Your work directly influences forecast accuracy, stock availability, fulfilment cost, and customer experience. Responsibilities Design, implement, and evaluate machine learning models for demand forecasting, replenishment, and fulfilment optimization. Develop innovative algorithmic solutions to complex forecasting and supply chain problems in close collaboration with product, engineering ...

shelf solutions for our specific needs and integrate them seamlessly into our product. End‐to‐End ML Lifecycle: Own the full machine‐learning lifecycle from ideation and development to testing, validation, and deployment. Ensure models are optimized for real‐time performance and scalability. Research and Innovation: Explore novel methods … robust and scalable deployments. Qualifications A Master’s or PhD in Computer Science, Engineering, or a related field. 3+ years of experience in machine learning and computer vision, with practical application of generative models. Proficiency in Python and experience with deep‐learning frameworks such as PyTorch. Familiarity ...

operate with a focused product lens, driven by curiosity and a commitment to technical excellence. As a Senior Data Scientist you will take deep, structured/tabular problems – rent arrears, tenant risk, contact strategy, repairs history – and work them through to clear, evidence‐based outcomes. Alongside our existing senior … clear call to do more, ship what we have, or stop. We’re looking for an accomplished data scientist with strong foundations, deep structured‐data experience, and the judgement to apply the right level of complexity – from simple, robust baselines to more advanced methods where they add clear value. ...

applying them to some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer (Leadership) - Machine Learning Responsibilities:Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficientEffectively communicate complex features & systems in detailUnderstand industry … staffing/prioritizing these new ideasSuggest, collect and synthesize requirements and create an effective feature roadmapDevelop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based modelsAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum ...

even if you only partially fulfil the following lists. You should have: Masters degree (MSc, MEng, etc) in computer science, mathematics, artificial intelligence, machine learning, or a related engineering field 1 year of experience developing agentic AI in production ready environments 3 years of relevant hands‐on experience with … machine learning algorithms The ability to write clean and maintainable code in Python, Rust, C++ or Java A strong background in the mathematical foundations of core ML algorithms, paired with hands‐on experience using deep learning frameworks (PyTorch, JAX, TensorFlow), agentic orchestration ecosystems (LangGraph, Google ...

recruiter directly. At GSK, we are actively working on building a future in which state-of-the-art software, Artificial Intelligence (AI) and Machine Learning (ML) enable us to develop new therapies and personalized medicines that drive better outcomes for patients at reduced cost with fewer side effects. This … ambitious mission requires scalable, cloud-native solutions at the forefront of Software Engineering, Cloud Infrastructure, Efficient Compute, Machine Learning and AI. If this excites you, we would love to chat. About the Role To strengthen our AI for Science (AI4S) team, we are looking for Software Engineers with ...

product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit … solutions we deliver for our clients. As a Customer AI Developer Specialist, you will: Play a key part in delivering impactful Machine Learning (ML) and Generative AI solutions across a variety of industries and use cases. From solving complex business problems to deploying scalable AI models, you'll operate ...

This is an opportunity to make a significant impact across one of the largest retail groups in Europe. We are looking for a Machine Learning Engineer who will support the delivery and operationalisation of advanced artificial intelligence solutions created by our Group AI team. Your work will help shape … products, services and decision making across our retail brands. You will work as part of a high performing engineering team to build scalable machine learning systems, ensuring models are robust, efficient and suitable for a live environment. You will collaborate with engineering, product and architecture colleagues to improve tools ...

This is an opportunity to make a significant impact across one of the largest retail groups in Europe. We are looking for a Machine Learning Engineer who will support the delivery and operationalisation of advanced artificial intelligence solutions created by our Group AI team. Your work will help shape … products, services and decision making across our retail brands. You will work as part of a high-performing engineering team to build scalable machine learning systems, ensuring models are robust, efficient and suitable for a live environment. You will collaborate with engineering, product and architecture colleagues to improve tools ...

reliability of 99.9999% and beyond. The Work itself Build Agentic Solutions using world’s most advanced LLM models from Anthropic, OpenAI and others Build Deep Learning solutions using AI/ML Platforms for real time transactions at a scale of 100K+ TPS and for peta bytes of Data. … technology, and new operations flows in diverse agile squads Opportunities to make a difference on a global or local scale through mentorship and continued learning and experiments. Essential Functions Demonstrates in-depth technical proficiency to accurately interpret and address project requirements. Identifies and contributes to the development and solution ...

team leadership. You will define data science approaches, design robust software architectures, mentor junior colleagues, and ensure delivery rigor across projects all while building deep client relationships and solidifying our reputation as a leader in practical, measurable AI. What you'll be doing Leading project teams that deliver bespoke … quantitative academic field. You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep‐learning framework (e.g., PyTorch). You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating proficiency ...

Compliance to shape what responsible AI security looks like in practice About you (skills/experience): You will bring A genuine understanding of deep learning (JAX, PyTorch, or TensorFlow), and you've worked with large-scale cloud training or inference infrastructure Think like an attacker on AI systems … risk into something engineers can act on Nice to have: Red-teaming LLMs, agent networks, or ML backends Background in BioTech, Pharma, or Deep Tech Degree in Computer Science, Machine Learning, Cybersecurity, or similar OSCP or a cloud security certification What they can offer: Market-leading compensation (bonus ...

Compliance to shape what responsible AI security looks like in practice About you (skills/experience): You will bring A genuine understanding of deep learning (JAX, PyTorch, or TensorFlow), and you've worked with large-scale cloud training or inference infrastructure Think like an attacker on AI systems … risk into something engineers can act on Nice to have: Red-teaming LLMs, agent networks, or ML backends Background in BioTech, Pharma, or Deep Tech Degree in Computer Science, Machine Learning, Cybersecurity, or similar OSCP or a cloud security certification What they can offer: Market-leading compensation (bonus ...

Join us as an Artificial Intelligence Intern to gain hands‐on experience with real-world AI and machine learning projects. Responsibilities ✔️ Assisted in building machine learning models ✔️ Supported in training and testing AI algorithms ✔️ Conducted research on natural language processing (NLP) ✔️ Helped in data preprocessing and dataset management … models into business solutions ✔️ Contributed to developing chatbot prototypes ✔️ Performed basic data visualization and analysis ✔️ Tested AI-driven automation workflows ✔️ Collaborated with mentors on deep learning models ✔️ Attended workshops on computer vision and neural networks ✔️ Assisted in writing AI research documentation ✔️ Supported in API integration for AI solutions ...

technologies when needed. Experience with hardware devices or sensors. Any experience with embedded systems, mobile OS or computer networking would be beneficial. Experience with deep-learning frameworks (TensorFlow or PyTorch) would be desirable. Exposure to computational statistics, algorithm development or machine learning optimisation would be a bonus. … develop your skills and knowledge with like-minded engineers. Keywords: Python, PyTorch, TensorFlow, Sensors, Embedded Systems, Hardware Interface, Mobile OS, Algorithms, Statistics, Machine Learning, Defence, Security Clearance, Start Up Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact ...

understand their problems Designing end-to-end AI solutions from the sensor to the user interface Training, evaluating, testing and productionising robust and performant deep learning models to solve real-world challenges Collaborating with other engineers to integrate models into our enterprise software product and resource-constrained hardware … apply even if you only partially fulfil the following lists. You should have: Masters degree (MSc, MEng, etc) in computer science, artificial intelligence, machine learning, robotics or a related engineering field 4 years of relevant experience researching and applying modern AI/ML in areas such as scene understanding ...

applying them to some of the most exciting and massive social data and prediction problems that exist on the web. Software Engineer (Leadership) - Machine Learning Responsibilities: Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient Effectively communicate complex features & systems …/prioritizing these new ideas Suggest, collect and synthesize requirements and create an effective feature roadmap Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore ...

looking for a talented Senior Algorithms Engineer to join an innovative engineering team developing advanced machine learning and computer vision solutions for complex, real-world applications. This is an exciting opportunity for an experienced engineer to work on challenging perception and intelligence problems, applying techniques across AI, computer vision … technically challenging projects, influence future development activities, and support the growth of engineering capability through collaboration and mentoring. Key Responsibilities Develop and optimise machine learning and computer vision algorithms for real-world applications. Investigate complex technical challenges, designing experiments and approaches to identify effective solutions. Analyse datasets, model performance ...

project delivery, stakeholder engagement, and supporting the development of others. For those at Consultant level, the role offers strong exposure to client work, learning from experienced practitioners, and a clear pathway for progression. We value curiosity, collaboration, and a growth mindset, and we encourage applications from candidates … Expert – Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models. CX Data Experience - Hands-on experience in customer behaviour analytics, marketing, commercial ...

Pattern:3 days per week in office Location: London, UK (Farringdon) Pay: 500 to 750 per day Inside IR35 Are you ready to dive deep into the world of data and transform complex business challenges into actionable insights? Our client, a leading organisation in the retail industry … wider community. What You Bring: Educational Background: A strong numerical degree in mathematics, science, engineering, or computer science. Technical Expertise: Extensive experience in machine learning, data mining, and programming (Python preferred). Problem-Solving Skills: A scientific mindset with the ability to ask and answer the right questions. Specialised ...

Expert – Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models. CX Data Experience - Hands-on experience in customer behaviour analytics, marketing, commercial … communicate complex ideas clearly to senior client stakeholders Innovative Mind - A strong interest and experience with the latest advancements in data, AI, machine learning, and data science space It Would Be a Bonus If You Have Experience in primary growth sectors; CPR (Consumer Products & Retail), ETU (Energy, Utilities ...