1 to 25 of 10,431 Machine Learning Jobs in the UK

working with clients to design end-to-end analytical solutions Work independently to solve complex data science use-cases across various industries Design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights Write code in SQL, Python, and Spark following software engineering best practices Collaborate with stakeholders and customers to ensure successful project … Experience with managing stakeholders and collaborating with customers Strong written and verbal communication skills required Ability to manage an individual workstream independently 3+ years of experience developing and deploying ML models in any platform (Azure, AWS, GCP, Databricks etc.) Ability to apply data science methodologies and principles to real life projects Expertise in software engineering concepts and best practices Self … Professional Certification. Familiarity with traditional machine learning tools such as Python, SKLearn, XGBoost, SparkML, etc. Experience with deep learning frameworks like TensorFlow or PyTorch. Knowledge of ML model deployment options (e.g., Azure Functions, FastAPI, Kubernetes) for real-time and batch processing. Experience with CI/CD pipelines (e.g., DevOps pipelines, Git actions). Knowledge of infrastructure as More ❯

popular Python frameworks such as Django, Flask or Pyramid. Knowledge of DevOps practices and tools (e.g., Docker, Kubernetes/EKS-based container orchestration). Knowledge of data science and machine learning concepts and tools. Contributions to open-source Python projects or active involvement in the Python community. Experience with Artificial Intelligence (AI) technologies and frameworks. Why Choose Fitch … Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity Investing in Your Future: Retirement planning and tuition reimbursement programs that empower More ❯

environment. Ability to write clean, scalable, robust code using python or similar programming languages. Background in software engineering a plus. Knowledge of data governance frameworks and practices. Understanding of machine learning workflows and how to support them with robust data pipelines. DESIRABLE LANGUAGES/TOOLS Proficiency in programming languages such as Python, Java, Scala, or SQL for data More ❯

Science, Engineering, Operations Research, Econometrics, or related fields Strong knowledge of Probability Theory, Statistics, and a deep understanding of the Mathematics behind Machine Learning Proficiency with CRISP-ML(Q) or TDSP methodologies for addressing commercial problems through data science or AI solutions Hands-on experience with various machine learning techniques, including but not limited to: Regression … data visualization tools and techniques (e.g., Python libraries such as Matplotlib, Seaborn, Plotly, etc.) and the ability to present data effectively Specific technical requirements: Data Science or AI/ML strategy Data Science or AI/ML solution architecture Proficiency in development/languages related to data processing, data manipulation, sampling, and reporting. (Python/SQL/Java/Scala … data, including preprocessing, feature engineering, and forecasting Experience with outlier detection and anomaly detection Experience working with various data types: text, image, and video data Familiarity with AI/ML cloud implementations (AWS, Azure, GCP, NVidia) and cloud-based AI/ML services (e.g., Amazon SageMaker, Azure ML) Domain experience: Industry knowledge and experience in one of the following; BFSI More ❯

digital transformation, and engineering solutions. With a strong global presence, this organization empowers businesses across industries such as banking, healthcare, manufacturing, and telecom. It fosters a culture of innovation, learning, and growth, making it an excellent workplace for tech professionals. Join us to be part of a dynamic team driving impactful solutions worldwide! Job Description: We are seeking a … for data storage, processing, and retrieval. Ensure the system's scalability, flexibility, and efficiency to handle large algorithms. Algorithm Development: Develop and implement advanced AI algorithms and models, including machine learning, deep learning, and neural networks. Continuously evaluate and improve these algorithms to enhance system performance and accuracy. Data Integration: Identify relevant data sources and design methods … with data scientists and engineers to ensure the quality and relevance of data for AI model training. Model Training and Evaluation: Train AI models using supervised, unsupervised, or reinforcement learning techniques. Implement evaluation methodologies to measure the performance and effectiveness of trained models. Fine-tune models based on feedback and data insights. Neural Network Design: Design and optimize deep More ❯

advance of commencing the interview process with us. Learn more about our culture here . Why become an Oxbot? Our team of experts in computer science, AI, robotics and machine learning is world-class, and together they’re solving the most exciting and important technological challenges of our times. But as well as smarts, Oxbots have heart. Our More ❯

We are looking for a Senior Machine Learning Engineer to join our Knowledge Enrichment team at BenchSci. You will help design and implement ML-based approaches to analyze, extract and generate knowledge from complex biomedical data such as experimental protocols and from results from several heterogeneous sources, including both publicly available data and proprietary internal data, represented in … data. The data will be leveraged in order to enrich BenchSci’s knowledge graph through classification, discovery of high value implicit relationships, predicting novel insights/hypotheses, and other ML techniques. You will collaborate with your team members in applying state of the art ML and graph ML/data science algorithms to this data. You are comfortable working in … a team that pushes the boundaries of what is possible with cutting edge ML/AI, challenges the status quo, and is laser focused on value delivery in a fail-fast environment. You Will: Analyze and manipulate a large, highly-connected biological knowledge graph constructed of data from multiple heterogeneous sources, in order to identify data enrichment opportunities and strategies. More ❯

applicants Join to apply for the Head of AI role at Scrumconnect Consulting Role As Head of AI, you will be the primary technical driver of all AI/ML initiatives. You’ll report directly to the CEO/CTO and own the full lifecycle of our AI roadmap—from research and proof-of-concept to scalable production. We’re … integrate AI features into our platform. Continuously evaluate new research, open-source tools, and emerging frameworks to keep us at the forefront. Recruit, mentor, and grow an AI/ML team as we scale beyond our seed round. Job Description Salary- 90k-100k, plus 25k bonus Role Overview Role As Head of AI, you will be the primary technical driver … of all AI/ML initiatives. You’ll report directly to the CEO/CTO and own the full lifecycle of our AI roadmap—from research and proof-of-concept to scalable production. We’re looking for a “doer” who can rapidly prototype models, optimize for performance, and mentor junior engineers, all while helping define product strategy. In this role More ❯

on efficiency, adaptability, and security . Algorithm & Model Development Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect robust data pipelines to support AI model training and inference. Implement automated data … inputs. Collaborate with data engineering teams to align AI solutions with real-world business applications. AI Model Training, Evaluation & Performance Optimization Train AI models using supervised, unsupervised, and reinforcement learning techniques , refining them based on business insights . Define model performance metrics to ensure AI solutions deliver tangible value. Real-Time AI Applications & System Integration Work alongside software engineers … and collaboration skills in cross-functional teams . Preferred Skills High-Performance Computing (HPC) and AI workloads for large-scale enterprise solutions. NVIDIA CUDA, cuDNN, TensorRT experience for deep learning acceleration. Big Data platforms (Hadoop, Spark) for AI-driven analytics in professional services. Pls share CV at payal.c@hcltech.com More ❯

on efficiency, adaptability, and security . Algorithm & Model Development Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect robust data pipelines to support AI model training and inference. Implement automated data … inputs. Collaborate with data engineering teams to align AI solutions with real-world business applications. AI Model Training, Evaluation & Performance Optimization Train AI models using supervised, unsupervised, and reinforcement learning techniques , refining them based on business insights . Define model performance metrics to ensure AI solutions deliver tangible value. Real-Time AI Applications & System Integration Work alongside software engineers … and collaboration skills in cross-functional teams . Preferred Skills High-Performance Computing (HPC) and AI workloads for large-scale enterprise solutions. NVIDIA CUDA, cuDNN, TensorRT experience for deep learning acceleration. Big Data platforms (Hadoop, Spark) for AI-driven analytics in professional services. Pls share CV at payal.c@hcltech.com More ❯

on efficiency, adaptability, and security . Algorithm & Model Development Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect robust data pipelines to support AI model training and inference. Implement automated data … inputs. Collaborate with data engineering teams to align AI solutions with real-world business applications. AI Model Training, Evaluation & Performance Optimization Train AI models using supervised, unsupervised, and reinforcement learning techniques , refining them based on business insights . Define model performance metrics to ensure AI solutions deliver tangible value. Real-Time AI Applications & System Integration Work alongside software engineers … and collaboration skills in cross-functional teams . Preferred Skills High-Performance Computing (HPC) and AI workloads for large-scale enterprise solutions. NVIDIA CUDA, cuDNN, TensorRT experience for deep learning acceleration. Big Data platforms (Hadoop, Spark) for AI-driven analytics in professional services. Pls share CV at payal.c@hcltech.com More ❯

to understand their business needs and translate them into technical solutions that leverage the latest technologies in data and AI. This role requires a deep understanding of data architecture, machine learning, and AI technologies, as well as strong problem-solving and communication skills. Key Responsibilities: Design and implement data and AI solutions that meet client requirements. Collaborate with … translate them into technical solutions. Develop and maintain data pipelines, data warehouses, and data lakes using tools such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks. Implement machine learning models and AI algorithms using frameworks like Azure Machine Learning, Microsoft Cognitive Services, and Databricks. Provide technical leadership and mentorship to junior consultants. Stay up … related field. At least 5 years of experience in data and AI consulting or a related field. Strong understanding of data architecture, data modeling, and data warehousing. Experience with machine learning frameworks and AI technologies. Proficiency in programming languages such as Python, R, or Java. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to More ❯

to understand their business needs and translate them into technical solutions that leverage the latest technologies in data and AI. This role requires a deep understanding of data architecture, machine learning, and AI technologies, as well as strong problem-solving and communication skills. Key Responsibilities: Design and implement data and AI solutions that meet client requirements. Collaborate with … translate them into technical solutions. Develop and maintain data pipelines, data warehouses, and data lakes using tools such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks. Implement machine learning models and AI algorithms using frameworks like Azure Machine Learning, Microsoft Cognitive Services, and Databricks. Provide technical leadership and mentorship to junior consultants. Stay up … related field. At least 5 years of experience in data and AI consulting or a related field. Strong understanding of data architecture, data modeling, and data warehousing. Experience with machine learning frameworks and AI technologies. Proficiency in programming languages such as Python, R, or Java. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to More ❯

Hands-on Machine Learning Operations (MLOps) Lead. This role will be pivotal in building out a greenfield framework for the deployment and management of scalable AI/ML solutions, specifically for the front and Middle Office user base. The role is to define and set up a greenfield standardized MLOps framework for capital markets and set up all … for Capital markets. The core platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will shape the MLOps framework and establish best practices for deploying and managing AI/ML solutions for a diverse and dynamic user base, including … data scientists, quants, risk managers, traders, and other tech-savvy users. Core Responsibilities: Lead the development of AI/ML CI/CD pipelines and frameworks for supporting AI/ML and Data Science solutions on Azure Databricks. Define and implement best practices for DataOps, DevOps, ModelOps, and LLMOps to standardize and accelerate the AI/ML life cycle. Collaborate More ❯

Hands-on Machine Learning Operations (MLOps) Lead. This role will be pivotal in building out a greenfield framework for the deployment and management of scalable AI/ML solutions, specifically for the front and Middle Office user base. The role is to define and set up a greenfield standardized MLOps framework for capital markets and set up all … for Capital markets. The core platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will shape the MLOps framework and establish best practices for deploying and managing AI/ML solutions for a diverse and dynamic user base, including … data scientists, quants, risk managers, traders, and other tech-savvy users. Core Responsibilities: Lead the development of AI/ML CI/CD pipelines and frameworks for supporting AI/ML and Data Science solutions on Azure Databricks. Define and implement best practices for DataOps, DevOps, ModelOps, and LLMOps to standardize and accelerate the AI/ML life cycle. Collaborate More ❯

Hands-on Machine Learning Operations (MLOps) Lead. This role will be pivotal in building out a greenfield framework for the deployment and management of scalable AI/ML solutions, specifically for the front and Middle Office user base. The role is to define and set up a greenfield standardized MLOps framework for capital markets and set up all … for Capital markets. The core platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will shape the MLOps framework and establish best practices for deploying and managing AI/ML solutions for a diverse and dynamic user base, including … data scientists, quants, risk managers, traders, and other tech-savvy users. Core Responsibilities: Lead the development of AI/ML CI/CD pipelines and frameworks for supporting AI/ML and Data Science solutions on Azure Databricks. Define and implement best practices for DataOps, DevOps, ModelOps, and LLMOps to standardize and accelerate the AI/ML life cycle. Collaborate More ❯

or Madrid London, England, United Kingdom 5 days ago Principal Mechanical Engineer - Water Industry London, England, United Kingdom 3 weeks ago London, England, United Kingdom 1 week ago Senior ML Product Engineer - £90-125K + Benefits + Equity - London - Hybrid (3 days in office) London, England, United Kingdom 1 day ago Senior Software Engineer, Robotics & Microscope Control London, England More ❯

role at Allianz UK Join to apply for the Senior Data Engineer role at Allianz UK Role Description In this role, you will be instrumental in creating fully operational machine learning products aimed at solving problems at the core of our business. Your engagement will encompass all phases of these projects, including liaising with business subject matter experts … model extract generation, deployment, and ongoing monitoring. Role Description In this role, you will be instrumental in creating fully operational machine learning products aimed at solving problems at the core of our business. Your engagement will encompass all phases of these projects, including liaising with business subject matter experts, model extract generation, deployment, and ongoing monitoring. Additionally, you … England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago Senior Software Engineer, Robotics & Microscope Control London, England, United Kingdom 3 weeks ago Senior AI/ML Engineer (Data Science & Software Focus) London, England, United Kingdom 2 weeks ago City Of London, England, United Kingdom 1 month ago London, England, United Kingdom 1 month ago London, England More ❯

lead the full lifecycle of impactful AI-driven product initiatives, from early discovery to deployment, designed to solve talent management processes for customers. Design, build, and scale production-grade ML systems that extract insights from rich, semi-structured text data. Invent and implement novel models and algorithmic techniques that improve the relevance, performance, and scalability of our talent intelligence and … and robust, user-facing applications. Experiment rapidly and iterate on PoCs, leveraging state-of-the-art models, LLMs and agentic workflows to explore new capabilities and product directions. Leverage machine learning techniques such as LLMs, RAG (retrieval augmented generation) and agentic orchestration frameworks to automate complex decision flows and generate insights from customer data. Mentor and guide a … of talent management-and ready to turn that potential into real, scalable products. We'd love to hear from you if you have: Proven experience delivering end-to-end ML projects, from early experimentation to production deployment. Comfort with ambiguity, and the ability to shape, test, and validate product ideas in fast-moving environments. Deep expertise in NLP and GenAI More ❯

find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity and reducing time spent on “data mechanics” Providing … best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets Implementing scientific technology products that leverage the data and capabilities provisioned by Onyx The Staff Application Engineer and Team Lead will play a pivotal role … week ago Richmond Upon Thames, England, United Kingdom 2 weeks ago Engineering Lead - Machine Learning Platform London, England, United Kingdom 1 day ago Software Engineering Manager - ML Generalist London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week ago Vice President of Engineering - ThriveCart London, England, United Kingdom 2 months ago London, England, United Kingdom More ❯

continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed … your working reality. We have built an inclusive and welcoming environment, for everyone. Your skills and experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present … organisations, through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms - demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools More ❯

continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your Role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed … your working reality. We have built an inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present … organisations, through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms - demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools More ❯

continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your Role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed … your working reality. We have built an inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present … organisations, through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms - demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools More ❯

popular Python frameworks such as Django, Flask or Pyramid. Knowledge of DevOps practices and tools (e.g., Docker, Kubernetes/EKS-based container orchestration). Knowledge of data science and machine learning concepts and tools. Contributions to open-source Python projects or active involvement in the Python community. Experience with Artificial Intelligence (AI) technologies and frameworks. Why Choose Fitch … Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity Investing in Your Future: Retirement planning and tuition reimbursement programs that empower More ❯

support our platform’s growth. About The Team You’ll join a small, tight-knit engineering team within our Data & AI (Collaboraite) business unit. The team comprises Software Engineers, Machine Learning Engineers, and Frontend Developers, all working together on a collaborative working platform with analytics job processing capabilities. This platform enables users to ingest, relate, analyse, and search … of the onboarding process Benefits Flexible Working: We offer both hybrid and remote working models. Private Medical Inclusive Culture: Enjoy an inclusive culture and environment. Holiday: Generous holiday allowance. Learning: Access to continuous learning and development opportunities. Bonus Potential: Bonus potential based on performance and business-related factors. Discounts: Discounts on a wide range of products and services. More ❯