4,876 to 4,900 of 6,321 Machine Learning Jobs in the UK

Data Scientist to build analytical products and tools that support frontline staff and decision-makers within our Insight & Innovation Team. You will apply machine learning, NLP and advanced analytics to generate actionable insights, embed outputs into operations, and help shape the borough's data strategy. Join a forward ...

solutions while ensuring technical feasibility and delivery excellence. The ideal candidate will possess strong programming skills in Python as well as extensive experience in machine learning and statistical techniques. This position offers a hybrid working model with flexibility and competitive benefits. #J-18808-Ljbffr ...

initiatives around speech-to-text, speaker identification, and more, closely collaborating with product and commercial teams. The ideal candidate has substantial experience in machine learning and audio AI, along with expert Python skills. You'll enjoy the flexibility of a fully remote position and the chance to make ...

series and multimodal data, simulation and world models, trustworthy decision-support agents and staged autonomy, and AI-native approaches to industrial data foundations, ontology learning, and evaluation. This is a hands-on role for someone who thrives in uncertain problem spaces, works with high autonomy, and finds practical ways … industrial AI.Develop new models, algorithms, evaluation methods, and system architectures. Build high-quality experimental systems and validated research prototypes. Publish at leading AI and machine learning venues and contribute to AVEVA's patent and IP portfolio. Create benchmarks, datasets, and evaluation frameworks for industrial AI.Partner with leading ...

primary relationship lead for a major enterprise technology partner within the speech and AI domain. Engage directly with client stakeholders across Product, Engineering, ML, Data Science, and Speech teams. Translate complex technical requirements into clear internal delivery plans and execution roadmaps. Ensure alignment between client expectations and operational capabilities across … across stakeholders. Build long‐term trust through responsiveness, clarity, and professionalism in complex enterprise environments. 5+ years of experience within speech technology, AI/ML services, data annotation, data collection, or language technologies. Experience working with large technology platforms or enterprise AI customers. Technical fluency in deep learning‐based ...

Bachelor's degree in Computer Science, Mathematics, Physics, a related quantitative field, or equivalent practical experience. 4 years of experience building, scaling, and debugging machine learning models using deep learning frameworks (e.g., JAX, PyTorch, or TensorFlow). Experience in one core area: Reinforcement Learning (RL), Post … Training (SFT/RLHF/RLAIF), Agentic Tool-Use, or Inference-Time Search. Preferred qualifications: PhD in Computer Science, Machine Learning, Physics, or a related quantitative field. Experience training and managing models on large-scale distributed accelerator clusters (e.g., TPUs or GPUs). Experience designing asynchronous agent-environment ...

rendering, annotation, and verification. You'll solve problems of large-scale efficient data transfer and storage, complex domain modelling, applying the latest machine learning models, and squeezing performance out of web browsers. You'll work with the biggest names in robotics and autonomous vehicles, and join a small … Tech stack We are technology agnostic at Encord and not looking for experience across all of these — as long as you're open to learning, please apply. Backend: Python Frontend: TypeScript and React Deployment: Kubernetes Infrastructure: GCP Machine learning: PyTorch, CUDA, Ray Why Encord Competitive salary, commission ...

PhysicsX is seeking passionate software engineers to join a cutting-edge platform used by Data Scientists, Machine Learning Engineers and Simulation Engineers to create, train, and deploy physics-informed models. You will own tasks from implementation to production, ensuring quality, scalability and observability. You will work ...

Share Research Scientist, Multisensor Robotics, DeepMind corporate_fare DeepMind place London, UK PhD degree in a relevant quantitative field (e.g., Robotics, Computer Science, Machine Learning), or equivalent practical experience. 5 years of professional research experience in an industrial research and development (R&D) laboratory. 3 years of experience … designing, training, and scaling reinforcement learning (RL), imitation learning (IL), or multimodal generative architectures (including Vision-Language-Action (VLA) or video foundation models). 2 years of experience optimizing foundation models for production, utilizing techniques like distillation, model pruning, and post‐training quantization to meet on‐device latency ...

adoption of new skills across different audiences and contribute to culture and social frameworks of UpSkill and client organisations. Adapt training materials to different learning environments and audiences, whether in-person or remote sessions. Stakeholder Engagement: Engage with a variety of stakeholders to understand their specific learning needs … such as AI, cloud technologies, or related fields, with a proven ability to engage participants, manage group dynamics, and adapt teaching methods to different learning styles Strong knowledge of AI technologies, including machine learning, deep learning, NLP, and computer vision. Experience with AI frameworks and tools. ...

work on systems used across Barclays. You may work with technologies including Java, C++, C#, Python, SQL, JavaScript/TypeScript, containers, DevOps, cloud, machine learning, scripting and real-time systems. The role is based in Canary Wharf, London. #J-18808-Ljbffr ...

ensure best practices in modelling, experimentation and deployment. Data Science & Advanced Analytics – Design and implement predictive and prescriptive models for airline operations, applying machine learning, optimisation and statistical analysis to large, complex data sets. Translation of Business Problems – Convert business challenges into analytical frameworks and actionable solutions … collaboration, driving high‐impact projects and aligning with business objectives. Advanced knowledge of the Data Science Toolbox – mathematics, statistics, programming, data ingestion, munging, visualisation, machine learning, optimisation, simulation, reinforcement learning, and big‐data technologies. Experience leading successful data‐science projects in an operational setting (preferred). Understanding ...

ensure best practices in modelling, experimentation and deployment. Data Science & Advanced Analytics – Design and implement predictive and prescriptive models for airline operations, applying machine learning, optimisation and statistical analysis to large, complex data sets. Translation of Business Problems – Convert business challenges into analytical frameworks and actionable solutions … collaboration, driving high‐impact projects and aligning with business objectives. Advanced knowledge of the Data Science Toolbox – mathematics, statistics, programming, data ingestion, munging, visualisation, machine learning, optimisation, simulation, reinforcement learning, and big‐data technologies. Experience leading successful data‐science projects in an operational setting (preferred). Understanding ...

About Us Neural Concept is a rapidly growing company at the forefront of revolutionizing product design and simulation through advanced data science and machine learning. Specializing in optimizing engineering processes for industries such as automotive, aerospace, and energy, Neural Concept combines AI, machine learning, and generative design … Industrial & Manufacturing industry is a plus You exhibit professionalism, ethical conduct, and excellent interpersonal communication skills. You have a genuine passion for continuous learning and innovation. What You Get Work with a world-class technology team – our engineers are top-notch, and we always aim for excellence. Benefit from ...

London) or remote within the UK Up to £160,000 per annum plus stock options Python | Django | FastAPI | AWS | Rust | Postgres | Event-Driven Architecture | Machine Learning Principal Engineer - We're working with a leading fintech scale-up that's transforming how small businesses access finance. Backed … teams and influenced product direction. Experience working with complex domain models and evolving codebases. Bonus skills include : Python, Django, PostgreSQL, event-driven data systems, machine learning familiarity and frontend awareness. Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate ...

Data Science organisation sits at the heart of Deliveroo, powering decision-making across product, commercial and operational teams through experimentation, causal inference and applied machine learning. We\u2019re hiring a Data Science Manager to join our Merchants team. Merchants are central to Deliveroo\u2019s marketplace: they drive selection, order … data scientists and developing high-performing teams A strong background as a senior data science individual contributor Expertise in experimentation, causal inference or applied machine learning The ability to guide technical work and translate data science into product, operational or commercial decisions Strong stakeholder management skills and confidence ...

globally for its attitudes and rigour more importantly, you will be surrounded by smart people deeply interested in teaching what they know, and in learning from you. You will join the quant team, designing, analysing and improving sport prediction models and high frequency trading strategies. You'll be part … Comp Ski, Maths, Stats or Engineering degree. Demonstrable Python experience Strong Stats Background Outstanding background in probability and statistics Experience and interest in modern machine learning techniques, for example, deep learning, Bayesian methods and graphical models Programming experience with python, julia or R You will be joining ...

structured lessons that introduce students to artificial intelligence, data-driven thinking, and emerging technologies. The Academic Leader contributes to a safe, positive, and stimulating learning environment, ensuring that students are supported, challenged, and fully engaged in their academic experience. Teaching consists of up to five morning sessions per week … Intelligence and Big Data, in line with the course syllabus, combining theory with practical, hands‐on learning. Introduce students to key concepts such as machine learning, data analysis, and AI applications, using interactive tasks and collaborative projects. Create a dynamic and inclusive classroom environment where students feel confident ...

adopted. Minimum qualifications: Bachelor's degree in Computer Science, a related Software Engineering field, or equivalent practical experience.3 years of experience in software development, ML engineering, or ML research. Experience working with research teams. Preferred qualifications: Experience conducting or contributing to applied research to improve the safety and alignment … through collective effort. Bachelor's degree in Computer Science, a related Software Engineering field, or equivalent practical experience.3 years of experience in software development, ML engineering, or ML research. Experience working with research teams. ...

Member of Technical Staff Research Scientist Push the frontier of reinforcement learning for long-horizon work London, UK Full-time Research Context Reinforcement learning is how language models learn to reason, use tools, and work autonomously over long horizons. But RL for long-horizon agents presents new challenges … related algorithms Experience training RL agents and iterating on reward design, with strong intuitions for what works and why Proficiency in Python and ML frameworks (PyTorch or JAX) with the ability to implement and run experiments independently Track record of research output: publications, open-source contributions, or impactful technical projects ...

systematic equities trading team. The role sits at the intersection of machine learning, quantitative research and systematic trading , developing and deploying ML models on high-frequency market data and working closely with portfolio management to turn research into live trading signals. You'll develop and optimise classical … datasets. Experience with distributed computing and Linux is important, while C++ would be a strong advantage. This is the a unique chance to deploy ML models into systematic trading, and ensure your code and work directly generates profit. #J-18808-Ljbffr ...

growing team, supporting our on-going development in autonomous vision-based satellite navigation solutions. This role involves low-level software development using AI/ML techniques, using our in-house built simulators and digital twins for validating the software, integrating software and hardware, and testing using our dark room robotics … heart of a fast-paced startup. Role and Responsibilities Strong experience in Computer Vision and image processing Proficiency in Python for CV/ML applications Experience with deep learning frameworks (PyTorch) Practical experience deploying ML models on embedded or edge hardware Familiarity with Docker and Linux-based development environments ...

AICC team, you will work with the AICC Research Lead to develop the skills and experience of the full team of AI/ML engineers. You will provide day‐to‐day leadership for the team, specifically around framing and delivering collaborative research and development efforts with companies across a wide … range of areas such as AI, ML & Data Science. We may create a 12-month waiting list for the same or similar roles within the Department/Faculty. The University reserves the right to extend the waiting list across the University if required for certain posts. ABOUT YOU The postholder ...

data pipelines using Apache Spark; Knowledge of how to build and optimize data pipelines, architectures and data sets with the ability to drive additional learning for knowledge gaps; Experience managing data warehouses and/or data lakes; Intellectual curiosity to innovate on ways to solve data management issues … Passion, energy, and excitement for progressive and philanthropic causes. Nice‐to‐have Qualifications: Experience training or using machine learning models; Experience in key DevOps/Infrastructure technologies such as AWS, GitHub Actions, Terraform, and Docker; An eagerness to lead and take ownership of complex projects; Experience mentoring ...

systematic equities trading team. The role sits at the intersection of machine learning, quantitative research and systematic trading , developing and deploying ML models on high-frequency market data and working closely with portfolio management to turn research into live trading signals. You'll develop and optimise classical … datasets. Experience with distributed computing and Linux is important, while C++ would be a strong advantage. This is the a unique chance to deploy ML models into systematic trading, and ensure your code and work directly generates profit. Please apply to find out more. ...