76 to 100 of 148 Deep Learning Jobs in the UK

with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered products. … looking for candidates that can combine technical expertise with a true consulting approach. Responsibilities Design, develop, and implement advanced machine learning models and AI capabilities Build and maintain knowledge graphs and causal inference systems Create probabilistic models to address complex business problems Scale AI solutions from proof-of-concept ...

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 ...

PEOPLE in Oxford is looking for a Machine Learning Engineer to join their innovative ML Team. In this role, you will be responsible for developing and integrating machine learning and deep learning models into real-time gaming environments, collaborating with cross-disciplinary teams, and mentoring junior ...

work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration.**About the Role**As a **Senior Principal Data Scientist**, you will contribute deep technical expertise while helping shape best practices across … apply advanced analytics to real‐world problems.### **Responsibilities:*** **Technical Leadership** Act as the go-to expert for **state-of-the-art** advanced analytics, machine learning, and generative AI. Define and evolve best practices for complex modeling and design problems, ensuring scalability, robustness, and performance. Provide thought leadership on emerging ...

looking for a highly capable and hands-on Senior ML Infrastructure Lead to build and scale the technical foundations that enable machine learning to operate effectively in production. This hybrid leadership role sits across machine learning infrastructure, platform engineering and MLOps. You will be responsible for designing … that allow ML teams to train, deploy, monitor and improve models reliably, securely and at scale. You will work at the intersection of machine learning, software engineering, data, cloud infrastructure and platform reliability, helping bridge the gap between research and production. This role is ideal for someone ...

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 ...

play a key role by: This role sits as part of a multidisciplinary squad, collaborating with other Machine Learning Scientists, Data Scientists, Backend Engineers, Operations specialists, Product managers, and Risk managers. You'll play a key role by leveraging your deep experience of developing and deploying advanced Machine … Learning models as to: Automatically and accurately detect suspicious user behaviours while minimising impact to genuine customers and operational costs. Adapt quickly and appropriately to changing fraud and financial crime trends, ensuring our detection systems remain performant through time. Design machine learning solutions that scale globally. The technical ...

play a key role by: This role sits as part of a multidisciplinary squad, collaborating with other Machine Learning Scientists, Data Scientists, Backend Engineers, Operations specialists, Product managers, and Risk managers. You'll play a key role by leveraging your deep experience of developing and deploying advanced Machine … Learning models as to: Automatically and accurately detect suspicious user behaviours while minimising impact to genuine customers and operational costs. Adapt quickly and appropriately to changing fraud and financial crime trends, ensuring our detection systems remain performant through time. Design machine learning solutions that scale globally. The technical ...

high‐calibre team of Data Scientists, fostering a culture of rapid experimentation, technical excellence, and continuous learning. Drive innovation in Generative AI, Agentic AI, deep learning, and large‐scale ML deployment—staying ahead of the curve on foundational models, LLMs, and autonomous agents. Champion MLOps best practices, cloud … make a similar investment in you. What Sets You Apart Production AI at scale. 8+ years in AI/ML engineering, applied machine learning, or advanced analytics—with a track record of taking models from prototype to production in large, complex environments. Technical depth across modern AI. Deep ...

technical excellence with consulting impact across major clients and industries. What You'll Do Develop and deliver data science solutions using Python and machine learning (predictive, classification, forecasting, deep learning). Lead or support Generative AI/LLM projects, building or evaluating models tailored to customer … analytics experience (typically around 5 years). Proven track record with Generative AI and LLM‐based solutions. Strong proficiency in Python and machine learning techniques. Solid knowledge of customer or marketing analytics. Background in consulting, in‐house analytics, or agency environments. Excellent communication and problem‐solving skills. ...

design and present innovative end‐to‐end solution options to enable deal closure and sell value. The Solution Consultant supports the sales motion through deep knowledge of specific customer workflows and relevant technologies. You will join other specialists and sales professionals on agile Bid Teams to work … data ingestion, data munging activities. Experience in working with AWS and GCP services for various activities in the data science workflow. Working knowledge of deep learning frameworks such as TensorFlow and PyTorch. Broad understanding of Transfer Learning Models and its application to alternative data in Finance. Good ...

Senior Machine Learning Infrastructure Engineer London, United Kingdom About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across … converging" into infrastructure hypotheses and solutions, and can bridge technical abstractions with implementations. 5+ years of experience building and operating ML infrastructure at scale: Deep expertise in distributed training: you've debugged NCCL hangs, optimized collective communication, and know when to use FSDP vs. DDP vs. pipeline parallelism Strong ...

across multiple projects simultaneously and adapting to varied technical challenges Collaborating with multidisciplinary engineers to integrate software with hardware, sensors, and complex systems Rapidly learning and applying new technologies, tools, and approaches Contributing to problem-solving throughout the entire development lifecycle Supporting software used to control hardware platforms, custom … technologies quickly Working knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, optimisation, statistics, or algorithm development Experience developing mobile applications (iOS or Android) Suitable for both ...

experience.* At least five years experience in technical consulting, software development, or equivalent. At least three of those years should include delivering Computer Vision, Deep Learning, or Generative AI computing solutions or infrastructure.* Experience with at least one of the following: fine tuning or deploying computer vision models … presentation skills including sharing your ideas/code clearly through blog posts and GitHub.* Self-starter with a vision for growth, dedication to continuous learning and sharing findings across the team.**Ways to stand out from the crowd:*** Prior work in government, AI startups, or working with digital twins. ...

globally scalable robotics platform that will define the future of industrial automation. Role Overview In this role, you will formulate, train and deploy machine learning models for robotic systems that perceive the world through vision and sensors, learn structured representation in data, and operate reliably in real‐world industrial … real robots. Your work will raise the bar for capability, reliability, and speed of iteration. Responsibilities Key objective is to develop and deploy robust deep neural networks for robotics, supported by object detection, segmentation, and scene understanding models. Build scalable pipelines for training, fine‐tuning, inference, and real-time ...

developing models for strategic content valuation. Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deep learning, causal inference, optimization, ranking and recommendation. What You’ll Do Within the Sharechat AI team, we are looking for an experienced Staff … Spark, Databricks and stream data processing such as Kafka, RedPanda is a plus. Direct experience in building and applying large-scale (100M+ users) machine learning solutions for personalizing recommendations. Hands-on experience building training frameworks and/or serving large-scale models using tools such as Tensorflow or PyTorch ...

/Machine Learning Engineer NLP/LLM - Contract Manchester, UK Job type Full-time Job Description AI/Machine Learning Engineer NLP/LLM - Contract Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully remote, with occasional ad-hoc travel to the office … Role: A technology-focused organisation is seeking a Contract Machine Learning Engineer/Data Scientist to support the development of next-generation AI solutions. This is an exciting opportunity to play a key role in designing and training Large Language Models from the ground up, and to contribute ...

global community of developers and researchers. 🛠️ Skills and Experience 5+ years of experience in software engineering, with a strong focus on AI and Machine Learning (ML). Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience building and deploying applications with LLM APIs … Apple Display provided. Team: Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. ...

will lead a team working to build, scale, and optimize the machine learning infrastructure that powers Recursion’s drug discovery platform. From model training pipelines to production deployment systems, to agent infrastructure and Large Language Models, you will ensure our ML models can operate at massive scale across … scale – build and operate platforms that allow data scientists and ML engineers to train, deploy, and monitor models across Recursion’s massive datasets and deep learning workloads. Act as a mentor, coach, and sponsor – share technical, leadership and managerial skills in MLOps, distributed computing, and infrastructure engineering ...

initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data scientists … strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production Experience: Demonstrated experience deploying real-world AI solutions at scale; purely academic or research backgrounds will ...

initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data scientists … strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production Experience: Demonstrated experience deploying real-world AI solutions at scale; purely academic or research backgrounds will ...

initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data scientists … strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production Experience: Demonstrated experience deploying real-world AI solutions at scale; purely academic or research backgrounds will ...

Data & ML Engineer to deliver high-impact solutions across enterprise clients. This is a hands-on engineering role where youll design pipelines, deploy machine learning models, and help shape modern AI-driven systems. What youll be doing Build and optimise data pipelines and ML workflows Develop and deploy … models (NLP, deep learning, AI applications) Work with streaming and batch data pipelines across cloud platforms Implement CI/CD and MLOps frameworks Collaborate with cross-functional teams to deliver data-driven solutions Support data modelling, governance, and quality initiatives What were looking for Experience with Python ...

finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world‐class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world‐class platform to amplify our teams … reference solutions. Your work will influence long‐term platform evolution and help shape the architecture, software stack and tooling that underpins large‐scale machine learning computation. Key responsibilities Collaborating with researchers, senior stakeholders and engineers to understand their compute challenges and design optimised solutions. Profiling, benchmarking and tuning large ...

engineering teams to transition validated models into real products. We emphasize research rigor, empirical validation, and practical impact, translating novel ideas into deployable machine learning solutions under real-world constraints. Your Impact Research and develop advanced methods for video perception, with a strong emphasis on both … research models into deployed systems, advising on architecture, performance trade-offs, and integration considerations Stay current with advances in computer vision and applied machine learning research, and assess their applicability to real-world problems Minimum Qualifications Bachelor’s, Master’s, or PhD degree in Artificial Intelligence or a closely ...