3,126 to 3,150 of 7,725 Machine Learning Jobs in the UK

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within Global Finance Technology in Corporate Technology, you serve ...

Barlowe LLP seeks a Machine Learning Engineer to join the ML and HPC Architecture team, based in London. This role involves working with cutting-edge technology, collaborating on various ML projects, and optimising processes to enhance performance across teams. Ideal candidates will possess a postgraduate degree in Machine Learning or related experience, along with strong programming skills in Python and familiarity with ML model building. The role does not require finance experience, encouraging diverse applicants. #J-18808-Ljbffr ...

Scientist with strong Machine Learning, Google Cloud Platform (GCP), Python and data engineering expertise to support the optimisation of fraud models and ML infrastructure. Contract information Job title: Data Scientist Location: 3 days in Sheffield and 2 days remote Contract type: Inside IR35 Key Responsibilities Assess and optimise … data science teams. Analyse and optimise GCP compute, storage and networking, balancing cost, performance and reliability. Implement and improve monitoring and observability across ML workloads, including cost, performance and reliability metrics. Support the design, validation and deployment of fraud and machine learning models end-to-end. Strong commercial ...

years of experience in software engineering, with strong proficiency in C#, Node.JS, Databases (SQL, NoSQL) and 2+ years of experience working with AI/ML technologies, frameworks (e.g., TensorFlow, PyTorch), and developing machine learning models with Python. Strong problem-solving skills and the ability to break down complex … explore new ideas and approaches. Familiarity with MLOps (Machine Learning Operations) practices, including the deployment, monitoring, and maintenance of AI/ML models in production environments and experience with cloud platforms and deploying AI/ML models in production environments. Even if you don’t meet every requirement ...

leading financial services firm is seeking an Applied AI ML Director specializing in NLP and LLM. The role involves developing machine learning solutions, collaborating with diverse teams, and driving innovative projects using cutting-edge techniques. Candidates should hold a PhD in a quantitative discipline and possess solid experience … deep learning frameworks and analytics. This is a unique opportunity to influence data-driven decision-making in a prominent organization, dedicated to fostering a highly collaborative work environment. #J-18808-Ljbffr ...

Start up and are already excelling in their field. They are looking for a Product Manager who will work closely with ML, backend, and mobile engineers on system design, evaluation, and iteration.The main responsibilities for the Product Manager are to define end-to-end AI product requirements, from technical capabilities … experience building or managing AI-powered products, including LLM-based systems.Proven experience leading complex technical products end-to-end, partnering closely with Engineering and ML teams to deliver high-impact outcomes.Deep understanding of AI evaluation, prompt and pipeline optimisation, model behaviour in production, and the practical challenges of reliability, bias ...

Mutable Tactics is a pioneering technology company specializing in advanced autonomy for squad robotic systems. We’re blending cutting-edge computer vision, ML, multi-agent AI and probabilistic inference techniques into autonomous UxV solutions for complex, mission-critical operations. Our team is dedicated to pushing the boundaries of robotics … Pruning, Distillation. Simulation: Gazebo, IsaacSim, UnReal Engine(AirSim), Foxglove Studio, RViz2. Programming & Tools: C++, Python, Git, Docker, CI/CD, Linux, Docker/Podman ML specific skills Stochastic processes: behavior trees, FSMs, MDPs Learning: RL, Bayesian networks (and BBP) Scripting languages: PDDL, RDDL Nice to Haves Experience with SLAM ...

field. This role offers an exciting opportunity to work at the forefront of robotics and industrial automation, applying cutting-edge AI and ML techniques to develop advanced vision control systems. Position Overview: We are looking for a highly skilled and experienced Lead Perception Engineer with expertise leading a team … engineers solving difficult robotic perception challenges using both classical and machine learning (ML) approaches. The ideal candidate will have hands‐on experience with developing solutions end to end, including evaluation of the problem, sensor selection, leading software development and evaluating the solution in the real world to ensure ...

alongside junior and senior staff on cutting-edge research projects, building high-stakes models, and solving core AI problems at scale. Key Responsibilities Advance ML Science & Infrastructure: Carry out cutting-edge research to push the state of the art in machine learning systems, large language models (LLMs … Technical Stack: Advanced proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch . Large-Scale Models: Experience developing ML models at scale, including programmatically querying LLMs, LLM post-training, and running experiments over massive datasets. Scientific Rigor: Demonstrated ability to apply a scientific framework ...

data-driven, intellectually curious Data Scientist who is energized by hard problems in fraud and financial crime. You'll prototype and ship ML models, design experiments, and uncover new fraud signals across our ecosystem — partnering closely with engineers, product managers, and analysts to turn your work into production-grade systems. … ability to communicate technical findings clearly to non-technical stakeholders and translate insights into action. What Success Looks Like in This Role: Production-grade ML models and anomaly detection systems that effectively surface and mitigate novel fraud vectors before they scale. Well-designed experiments that successfully balance customer experience against ...

needs. You will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation. Responsibilities Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities. Lead and develop high-performing teams by coaching … cross-functional leaders, shaping roadmaps, translating technical insights, and aligning teams on customer and business impact. Requirements Significant experience in data science, AI/ML, NLP, information retrieval, statistics, or a related quantitative field, or equivalent practical experience. Excellent technical expertise across modern data science methods, including machine learning ...

libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain). R and C++ optional.Experience with version control (GitHub)ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer … distinctive capabilities, models, and insights through your work with client teams and clients. You will ensure statistical validity and outputs of analytics, AI/ML models and translate results for senior stakeholders, and will write optimized code to advance our Data Science Toolbox and codify analytical methodologies for future deployment. ...

needs. You will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation. Responsibilities Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities. Lead and develop high-performing teams by coaching … cross-functional leaders, shaping roadmaps, translating technical insights, and aligning teams on customer and business impact. Requirements Significant experience in data science, AI/ML, NLP, information retrieval, statistics, or a related quantitative field, or equivalent practical experience. Excellent technical expertise across modern data science methods, including machine learning ...

quality and suitability for model development Design and implement data management strategies for model maintenance and future development Design, develop, and implement statistical and machine learning models for credit risk assessment, fraud detection, customer segmentation … marketing optimisation Monitor model performance in real time and identify potential issues or biases Lead training, mentoring, and knowledge-sharing sessions to uplift ML capability across the organisation Evaluate and pilot emerging technologies, tools, and frameworks to support AI innovation Design, develop, and implement next-generation Transaction Monitoring solutions Contribute ...

What You'll Do Design and build GenAI solutions (LLMs, RAG, prompt engineering) Develop Agentic AI systems for automation and orchestration Build and deploy ML models for real-world business use cases Work with AWS (Bedrock, SageMaker, Lambda, ECS/EKS, etc.) Drive AI innovation , POCs, and enterprise transformation initiatives … Collaborate with cross-functional teams and mentor others 7+ years software engineering experience 2+ years hands-on in AI/ML & GenAI solutions Experience with LangChain, LlamaIndex, CrewAI, or similar Knowledge of RAG, vector databases, and semantic search Experience with APIs, microservices, and cloud-native architecture Nice to Have ...

fraud detection, and commercial performance. This is a role for someone who enjoys taking models from problem definition through to deployment , working with modern ML techniques and real-world commercial challenges. 1 day/week (Leicester/London/Bexhill) £60k-£100k What you'll be doing Build and deploy … pricing performance. Identify and leverage new data sources to drive business value. Partner with stakeholders across Pricing, Data Science, Analytics, and Engineering teams. Own ML projects end-to-end, including EDA, deployment, monitoring, and model refreshes. What they're looking for - Proven experience delivering ML projects from concept to deployment. ...

fraud detection, and commercial performance. This is a role for someone who enjoys taking models from problem definition through to deployment , working with modern ML techniques and real-world commercial challenges. 1 day/week (Leicester/London/Bexhill) £60k-£100k What you'll be doing Build and deploy … pricing performance. Identify and leverage new data sources to drive business value. Partner with stakeholders across Pricing, Data Science, Analytics, and Engineering teams. Own ML projects end-to-end, including EDA, deployment, monitoring, and model refreshes. What they're looking for Proven experience delivering ML projects from concept to deployment. ...

right time — across subscriptions, channels, and transactional video, in every market and on every device. Our science team replaces static business rules with ML-driven decisions that personalise the entire commerce journey, from discovery through checkout and beyond. We operate at scale across hundreds of millions of customers … leaders, thinking strategically about business, product, and technical challenges. Work with technical product managers to work backwards from what matters to customers and deliver ML-backed solutions. Share results with the team and wider scientific community through documents that are both statistically rigorous and compellingly relevant. ...

fraud detection, and commercial performance. This is a role for someone who enjoys taking models from problem definition through to deployment , working with modern ML techniques and real-world commercial challenges. 1 day/week (Leicester/London/Bexhill) £60k-£100k What you'll be doing Build and deploy … pricing performance. Identify and leverage new data sources to drive business value. Partner with stakeholders across Pricing, Data Science, Analytics, and Engineering teams. Own ML projects end-to-end, including EDA, deployment, monitoring, and model refreshes. What they're looking for Proven experience delivering ML projects from concept to deployment. ...

needs. You will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation. Responsibilities Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities. Lead and develop high-performing teams by coaching … cross-functional leaders, shaping roadmaps, translating technical insights, and aligning teams on customer and business impact. Requirements Significant experience in data science, AI/ML, NLP, information retrieval, statistics, or a related quantitative field, or equivalent practical experience. Strong technical expertise across modern data science methods, including machine learning ...

opportunities that can drive your career in new and exciting waysIn our team you will learn:How to help clients to use AI/ML technologies to solve business challengesHow to design, deploy and run high quality AI/ML solutions across a range of industries with varying business … templates for emerging technologies based on client delivery experience and researchWe are looking for experience in the following skills and experience:AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DBAI/ML architectural patterns ...

themselves.We are seeking an AI Data Operation Specialist to join our team to lead quality initiatives in content moderation—leveraging both human labeling and machine learning models, including Large Language Models (LLMs). This role plays a critical part in upholding content quality across TikTok Live platform. … Business, Data Science, Computer Science, Information Technology, Communications, or a related field- 3+ years of experience in AI data operation, leveraging AI and ML for content quality management, product operations, or a related analytics role, preferably in tech, digital content, or platform moderation environments- Proficiency in data analysis and visualization ...

that can drive your career in new and exciting ways In our team you will learn: How to help clients to use AI/ML technologies to solve business challenges How to design, deploy and run high quality AI/ML solutions across a range of industries with varying business … templates for emerging technologies based on client delivery experience and research We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB AI/ML architectural ...

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques … real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.Your colleagues will include internationally recognized experts ...

hands-on role with responsibility for leading a multidisciplinary squad that executes on AI Accelerator initiatives. You will work in close partnership with ML Engineers throughout the research and implementation process and contribute to the development of more junior AI Scientists. KEY RESPONSIBILITIES Own and lead significant research workstreams … clinical and health records, medical imaging. Develop and validate novel approaches for learning from biomedical data, producing well-documented and reproducible research that ML Engineers can implement effectively. Design and run rigorous experiments to test multi-modal model architectures, training approaches and methods, interpreting results with scientific rigour ...