176 to 200 of 2,799 Machine Learning Jobs in England

AI/Machine Learning Engineer Agentic AI & LLM Systems Were partnered with a pioneering AI organisation pushing the boundaries of Agentic AI building systems where LLMs reason, act, and collaborate autonomously to drive real-world outcomes. As a Machine Learning Engineer , youll design the frameworks, tools, and data loops that allow intelligent agents to think, plan … Youll Bring: 4+ years experience in Machine Learning or AI , with exposure to LLM agent systems , tool-use frameworks, or generative AI. Advanced proficiency in Python and ML frameworks such as PyTorch or TensorFlow . Hands-on experience developing or fine-tuning LLaMA , GPT , or similar foundation models. Understanding of agentic architectures , chain-of-thought reasoning, and memory …/reflection mechanisms. Proven ability to debug, optimise, and scale ML experiments and compute pipelines. MSc or PhD in AI, Computer Science, or related field . Bonus Skills: Research track record (papers, open-source, Kaggle). Experience building back-end APIs or front-end interfaces for model annotation or experimentation. Contract Details: Competitive Rates (Outside IR35) 612 months (with likely More ❯

AI/Machine Learning Engineer – Agentic AI & LLM Systems We’re partnered with a pioneering AI organisation pushing the boundaries of Agentic AI — building systems where LLMs reason, act, and collaborate autonomously to drive real-world outcomes. As a Machine Learning Engineer , you’ll design the frameworks, tools, and data loops that allow intelligent agents to … ll Bring: 4+ years’ experience in Machine Learning or AI , with exposure to LLM agent systems , tool-use frameworks, or generative AI. Advanced proficiency in Python and ML frameworks such as PyTorch or TensorFlow . Hands-on experience developing or fine-tuning LLaMA , GPT , or similar foundation models. Understanding of agentic architectures , chain-of-thought reasoning, and memory …/reflection mechanisms. Proven ability to debug, optimise, and scale ML experiments and compute pipelines. MSc or PhD in AI, Computer Science, or related field . Bonus Skills: Research track record (papers, open-source, Kaggle). Experience building back-end APIs or front-end interfaces for model annotation or experimentation. Contract Details: Competitive Rates (Outside IR35) 6–12 months (with More ❯

AI/Machine Learning Engineer – Agentic AI & LLM Systems We’re partnered with a pioneering AI organisation pushing the boundaries of Agentic AI — building systems where LLMs reason, act, and collaborate autonomously to drive real-world outcomes. As a Machine Learning Engineer , you’ll design the frameworks, tools, and data loops that allow intelligent agents to … ll Bring: 4+ years’ experience in Machine Learning or AI , with exposure to LLM agent systems , tool-use frameworks, or generative AI. Advanced proficiency in Python and ML frameworks such as PyTorch or TensorFlow . Hands-on experience developing or fine-tuning LLaMA , GPT , or similar foundation models. Understanding of agentic architectures , chain-of-thought reasoning, and memory …/reflection mechanisms. Proven ability to debug, optimise, and scale ML experiments and compute pipelines. MSc or PhD in AI, Computer Science, or related field . Bonus Skills: Research track record (papers, open-source, Kaggle). Experience building back-end APIs or front-end interfaces for model annotation or experimentation. Contract Details: Competitive Rates (Outside IR35) 6–12 months (with More ❯

AI/Machine Learning Engineer Agentic AI & LLM Systems If the following job requirements and experience match your skills, please ensure you apply promptly. We re partnered with a pioneering AI organisation pushing the boundaries of Agentic AI building systems where LLMs reason, act, and collaborate autonomously to drive real-world outcomes. As a Machine Learning … ll Bring: 4+ years experience in Machine Learning or AI , with exposure to LLM agent systems , tool-use frameworks, or generative AI. Advanced proficiency in Python and ML frameworks such as PyTorch or TensorFlow . Hands-on experience developing or fine-tuning LLaMA , GPT , or similar foundation models. Understanding of agentic architectures , chain-of-thought reasoning, and memory …/reflection mechanisms. Proven ability to debug, optimise, and scale ML experiments and compute pipelines. MSc or PhD in AI, Computer Science, or related field . Bonus Skills: Research track record (papers, open-source, Kaggle). Experience building back-end APIs or front-end interfaces for model annotation or experimentation. Contract Details: Competitive Rates (Outside IR35) 6 12 months (with More ❯

with long term potential Global Retail business is looking for a Data Scientist to join their advanced data science team. This is an exciting opportunity to apply cutting-edge machine learning techniques to real-world problems, driving innovation and value across a data-rich business environment. Key Responsibilities: Design … build, and deploy data science solutions to support business initiatives, with a focus on machine learning and time series forecasting. Collaborate with cross-functional teams to integrate ML models into production systems using modern cloud platforms. Communicate insights and model outputs to stakeholders in a clear, actionable way. Key Skills & Experience: Proven experience working as a Data Scientist … such as Pandas, Scikit-Learn, Jupyter, and Matplotlib. Proficient in SQL for data extraction and transformation. Experience with Google Cloud Platform (GCP) and Vertex AI for developing and deploying ML services is highly desirable. Solid understanding of time series analysis and forecasting techniques. Strong foundation in computer science principles - data structures, algorithms, software architecture, and data modelling. Deep understanding of More ❯

impact of next-gen technologies — all while gaining hands-on experience that sets you apart in the job market. Responsibilities Support the design, testing, and evaluation of AI/ML models for fraud detection Analyse complex datasets to identify patterns, anomalies, and insights Collaborate with developers and data scientists to validate results and refine algorithms Assist in developing blockchain use … practical application in finance. Requirements Undergraduate degree in a technical field (e.g., Computer Science, Data Science, Mathematics, Engineering, Physics, or related) A strong and demonstrable interest in AI/ML and blockchain technologies - especially in their application to real-world business challenges Solid understanding of data analysis techniques and some familiarity with tools such as Python, SQL or Excel Excellent … Experience with Python libraries like Pandas, NumPy, or Scikit-learn Exposure to machine learning concepts or blockchain architecture Coursework or personal projects involving data analysis, AI/ML, or distributed systems Knowledge of data visualisation tools like Power BI or Tableau Benefits Fully funded, accredited qualifications Bespoke technical and business skills training A health cash plan 26 days More ❯

Learning Engineer to push the boundaries of how data and models are used in systematic investing. This isn’t a research support role — it’s about building the ML infrastructure that directly drives trading strategies and PnL. The Opportunity Work with world-class researchers and portfolio managers where every model you build has real market impact . Take ownership … of the full lifecycle: from messy, high-frequency datasets → feature engineering, training and deployment, live inference. Shape the firm’s ML ecosystem, choosing the right tools and frameworks to deliver performance at scale. Tackle challenges you won’t find outside finance: billions of data points, low-latency requirements, and models that need to work in the wild, not just in … What We’re Looking For Strong hands-on experience with machine learning engineering at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to handle large, noisy datasets — financial or otherwise — and turn More ❯

Learning Engineer to push the boundaries of how data and models are used in systematic investing. This isn’t a research support role — it’s about building the ML infrastructure that directly drives trading strategies and PnL. The Opportunity Work with world-class researchers and portfolio managers where every model you build has real market impact . Take ownership … of the full lifecycle: from messy, high-frequency datasets → feature engineering, training and deployment, live inference. Shape the firm’s ML ecosystem, choosing the right tools and frameworks to deliver performance at scale. Tackle challenges you won’t find outside finance: billions of data points, low-latency requirements, and models that need to work in the wild, not just in … What We’re Looking For Strong hands-on experience with machine learning engineering at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to handle large, noisy datasets — financial or otherwise — and turn More ❯

Learning Engineer to push the boundaries of how data and models are used in systematic investing. This isn’t a research support role — it’s about building the ML infrastructure that directly drives trading strategies and PnL. The Opportunity Work with world-class researchers and portfolio managers where every model you build has real market impact . Take ownership … of the full lifecycle: from messy, high-frequency datasets → feature engineering, training and deployment, live inference. Shape the firm’s ML ecosystem, choosing the right tools and frameworks to deliver performance at scale. Tackle challenges you won’t find outside finance: billions of data points, low-latency requirements, and models that need to work in the wild, not just in … What We’re Looking For Strong hands-on experience with machine learning engineering at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to handle large, noisy datasets — financial or otherwise — and turn More ❯

Learning Engineer to push the boundaries of how data and models are used in systematic investing. This isn’t a research support role — it’s about building the ML infrastructure that directly drives trading strategies and PnL. The Opportunity Work with world-class researchers and portfolio managers where every model you build has real market impact . Take ownership … of the full lifecycle: from messy, high-frequency datasets → feature engineering, training and deployment, live inference. Shape the firm’s ML ecosystem, choosing the right tools and frameworks to deliver performance at scale. Tackle challenges you won’t find outside finance: billions of data points, low-latency requirements, and models that need to work in the wild, not just in … What We’re Looking For Strong hands-on experience with machine learning engineering at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to handle large, noisy datasets — financial or otherwise — and turn More ❯

Learning Engineer to push the boundaries of how data and models are used in systematic investing. This isn’t a research support role — it’s about building the ML infrastructure that directly drives trading strategies and PnL. The Opportunity Work with world-class researchers and portfolio managers where every model you build has real market impact . Take ownership … of the full lifecycle: from messy, high-frequency datasets → feature engineering, training and deployment, live inference. Shape the firm’s ML ecosystem, choosing the right tools and frameworks to deliver performance at scale. Tackle challenges you won’t find outside finance: billions of data points, low-latency requirements, and models that need to work in the wild, not just in … What We’re Looking For Strong hands-on experience with machine learning engineering at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to handle large, noisy datasets — financial or otherwise — and turn More ❯

AI/Machine Learning Engineer (NLP/LLM) - Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) The Role: A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer/Data Scientist to support the development of next-generation AI solutions.This is … tasks, ensuring accuracy, efficiency, and scalability. Experience Requirements: Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch. Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5). Solid background in data science and machine learning, including model development, training, evaluation, and More ❯

ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior AI Engineer to join a dynamic, fast-growing team working at the forefront of artificial intelligence, machine learning, and cloud-native applications. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic and project experience to developing and deploying … scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and … and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers, product teams, and data specialists to deliver robust, production-ready solutions Applying AI and ML techniques to solve practical challenges in automation, analytics, and decision support Contributing to internal R&D and staying current with advancements in AI and machine learning What We More ❯

ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior AI Engineer to join a dynamic, fast-growing team working at the forefront of artificial intelligence, machine learning, and cloud-native applications. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic and project experience to developing and deploying … scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and … and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers, product teams, and data specialists to deliver robust, production-ready solutions Applying AI and ML techniques to solve practical challenges in automation, analytics, and decision support Contributing to internal R&D and staying current with advancements in AI and machine learning What We More ❯

ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior AI Engineer to join a dynamic, fast-growing team working at the forefront of artificial intelligence, machine learning, and cloud-native applications. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic and project experience to developing and deploying … scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and … and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers, product teams, and data specialists to deliver robust, production-ready solutions Applying AI and ML techniques to solve practical challenges in automation, analytics, and decision support Contributing to internal R&D and staying current with advancements in AI and machine learning What We More ❯

ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior AI Engineer to join a dynamic, fast-growing team working at the forefront of artificial intelligence, machine learning, and cloud-native applications. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic and project experience to developing and deploying … scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and … and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers, product teams, and data specialists to deliver robust, production-ready solutions Applying AI and ML techniques to solve practical challenges in automation, analytics, and decision support Contributing to internal R&D and staying current with advancements in AI and machine learning What We More ❯

ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior AI Engineer to join a dynamic, fast-growing team working at the forefront of artificial intelligence, machine learning, and cloud-native applications. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic and project experience to developing and deploying … scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and … and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers, product teams, and data specialists to deliver robust, production-ready solutions Applying AI and ML techniques to solve practical challenges in automation, analytics, and decision support Contributing to internal R&D and staying current with advancements in AI and machine learning What We More ❯

faster. Key Responsibilities Collaborate with data and subject matter experts and customer teams to seek, understand, validate, interpret, and correctly use data and business insights Train, validate and deploy machine learning pipelines Test, troubleshoot, and enhance customer software applications with and on behalf of customers Identify application performance bottlenecks and implement optimizations Write application specifications, tutorials and documentation … we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace. Work Experience Qualification Musts: Experience in data science methods, including statistical analysis , machine learning , and data visualization . Experience identifying and resolving operational or data-related issues using documented procedures and prior case studies. Experience making small-scale system and process … improvements to enhance functionality and efficiency. Qualifications Preferred: Applied Machine Learning experience (regression, classification, supervised, and unsupervised learning ) with a strong mathematical foundation in linear algebra , calculus , probability, and statistics. Experience in time-series data analysis , including cleansing and normalization , and experience with scalable Machine Learning ( MapReduce , streaming). Software development expertise in Python and More ❯

Data Scientist, you will play a critical role in developing and executing the company's research agenda, focusing on experimental and hypothesis-driven approaches. You'll leverage advanced analytics, machine learning, and AI techniques to solve complex industry problems and contribute to the creation of innovative solutions. Key Responsibilities: Hypothesis Development & Testing: Formulate testable hypotheses, design rigorous methodologies … and develop simulation environments to validate ideas and inform commercial decisions. Model Development & Implementation: Build and deploy advanced analytical models, machine learning algorithms, and AI solutions to address complex business challenges. Data Analysis & Insights: Conduct in-depth data analysis to identify trends, patterns, and opportunities for innovation. Collaboration: Work closely with data engineers, data analysts, and business stakeholders … research findings and measure the impact of new solutions. Documentation & Communication: Clearly document research methodologies, findings, and recommendations, and communicate effectively to both technical and non-technical audiences. Continuous Learning: Stay up-to-date with the latest advancements in data science, machine learning, and AI, and contribute to the continuous improvement of research methodologies and tools. Ideal More ❯

Data Scientist, you will play a critical role in developing and executing the company's research agenda, focusing on experimental and hypothesis-driven approaches. You'll leverage advanced analytics, machine learning, and AI techniques to solve complex industry problems and contribute to the creation of innovative solutions. Key Responsibilities: Hypothesis Development & Testing: Formulate testable hypotheses, design rigorous methodologies … and develop simulation environments to validate ideas and inform commercial decisions. Model Development & Implementation: Build and deploy advanced analytical models, machine learning algorithms, and AI solutions to address complex business challenges. Data Analysis & Insights: Conduct in-depth data analysis to identify trends, patterns, and opportunities for innovation. Collaboration: Work closely with data engineers, data analysts, and business stakeholders … research findings and measure the impact of new solutions. Documentation & Communication: Clearly document research methodologies, findings, and recommendations, and communicate effectively to both technical and non-technical audiences. Continuous Learning: Stay up-to-date with the latest advancements in data science, machine learning, and AI, and contribute to the continuous improvement of research methodologies and tools. Ideal More ❯

Data Scientist, you will play a critical role in developing and executing the company's research agenda, focusing on experimental and hypothesis-driven approaches. You'll leverage advanced analytics, machine learning, and AI techniques to solve complex industry problems and contribute to the creation of innovative solutions. Key Responsibilities: Hypothesis Development & Testing: Formulate testable hypotheses, design rigorous methodologies … and develop simulation environments to validate ideas and inform commercial decisions. Model Development & Implementation: Build and deploy advanced analytical models, machine learning algorithms, and AI solutions to address complex business challenges. Data Analysis & Insights: Conduct in-depth data analysis to identify trends, patterns, and opportunities for innovation. Collaboration: Work closely with data engineers, data analysts, and business stakeholders … research findings and measure the impact of new solutions. Documentation & Communication: Clearly document research methodologies, findings, and recommendations, and communicate effectively to both technical and non-technical audiences. Continuous Learning: Stay up-to-date with the latest advancements in data science, machine learning, and AI, and contribute to the continuous improvement of research methodologies and tools. Ideal More ❯

be found at . As at 31 March 2025 The Team We are looking for an AI engineer to help us build solutions that utilise the latest GenAI and Machine Learning techniques and capabilities. This role will allow you to work at the intersection of technology, generative AI and finance, helping to deliver high-impact, novel solutions that … touch every part of our business. Working within our Machine Learning Technology team, you will help to build out the core AI platform and infrastructure used across Man Group. Alongside this, you will also partner and consult with teams across the business to help create agents and tools that augment, automate and ultimately transform our investment and operational … maintain the firm's core AI and Machine Learning platform Partner with stakeholders in research, trading, technology, and operations to design, build, and deploy bespoke AI/ML applications and agents Manage the full lifecycle of domain-specific models, including training, fine-tuning, validation, deployment, and monitoring in production environments Keep up to date with the latest in More ❯

Benefits Start Date: ASAP We are seeking an ambitious and intellectually curious Junior AI Engineer to join a dynamic, fast-growing team working at the forefront of artificial intelligence, machine learning, and cloud-native applications. This is an excellent opportunity for a recent Master s graduate eager to apply their academic and project experience to developing and deploying … with experienced AI engineers, data scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. Designing, developing, and deploying machine learning and AI models Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines … and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers, product teams, and data specialists to deliver robust, production-ready solutions Applying AI and ML techniques to solve practical challenges in automation, analytics, and decision support Contributing to internal R&D and staying current with advancements in AI and machine learning A recently More ❯

a big focus on data, system configuration and supporting customer implementations. You will work closely with our customers to capture, interpret, cleanse and prepare data for processing through our Machine Learning models. You will work with our Data Transformation team to process the data, QA and refine the Machine Learning outputs, ensuring the quality of data … of our platform for new customers Running user acceptance tests (UAT) to check readiness and troubleshoot technical issues and ensure a smooth go-live Reviewing, validating & quality assuring the Machine Learning outputs, ensuring the quality of data produced by our Models delivers accurate and quality outcomes Contributing to research and updates to ensure our proprietary jobs model remains … . Experience working with HR data and a familiarity of job & pay data structures Experience of system implementation processes (configuration, UAT, troubleshooting) An excitement for how HR technology and machine learning can support HR processes Confidence (and enthusiasm for) using and learning new software tools, including AI tools Excellent organisational skills - able to manage tasks, priorities, and More ❯

closely with our simulation engineers, data scientists and customers to develop an understanding of the physics and engineering challenges we are solving Design, build and test data pipelines for machine learning that are reliable, scalable and easily deployable Explore and manipulate 3D point cloud & mesh data Own the delivery of technical workstreams, potentially while mentoring more junior colleagues … libraries, tooling and products Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption What you bring to the table Enthusiasm about using machine learning for science and engineering Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly Excellent collaboration and communication skills - with teams … colleagues 3-6 years' experience in a data-driven role, with exposure to software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps) Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow) Distributed computing frameworks (e.g., Spark, Dask) Cloud platforms (e.g., AWS, Azure, GCP) and HP More ❯