1 to 25 of 5,363 Machine Learning Jobs in the UK

driven features, while contributing to the technical growth of the team. Responsibilities Responsibilities include: Bridge data science and software engineering to productionize AI/ML solutions. Collaborate with data scientists, software engineers, and product teams to deliver robust, scalable AI features for Workday Products. Integrate AI models into production systems … languages such as Python, Java, or C++, writing clean, efficient, and maintainable code for production-grade AI solutions. Hands-on experience deploying AI/ML models to production environments, with a good understanding of MLOps practices including CI/CD pipelines, model versioning, and monitoring. Experience with cloud platforms ...

languages such as Python, Java, or C++, writing clean, efficient, and maintainable code for production grade AI solutions. Hands-on experience deploying AI/ML models to production environments, with a good understanding of MLOps practices including CI/CD pipelines, model versioning, and monitoring. Experience with cloud platforms … Azure, or GCP) and cloud-native AI tools such as SageMaker, Vertex AI, or Azure ML Studio. Working knowledge of containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions. Skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions ...

learning.What We’re Looking ForProven experience leading the delivery of data science or AI projects from concept to production.Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers).Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP).Deep expertise in MLOps principles, scalable … numerate discipline.Experience in Banking or Financial Services.Exposure to GenAI, LLMs, and intelligent agent workflows.Experience with DevOps, CI/CD, and productionising ML systems.A passion for mentoring and developing early-career data talent,Why Join CapcoDeliver innovative, high-impact data solutions for Tier 1 financial institutions.Work in a collaborative, entrepreneurial consulting ...

Python, Java, or C++. Emphasis on writing clean, efficient, and maintainable code for production-grade AI solutions. Proven experience in deploying AI/ML models to production environments, ensuring scalability, reliability, and performance. Familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring. Comprehensive experience with cloud … platforms (AWS, Azure, or GCP) and cloud native AI tools, such as SageMaker, Vertex AI, or Azure ML Studio. Ability to design and deploy cloud-based AI solutions. Proficiency in using containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions. Strong skills ...

applying sound professional judgement.What You’ll DoLead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments.Develop and prototype ML models to solve complex business challenges using modern techniques and tooling.Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables, using … appropriate to improve efficiency and accelerate insight.Guide and coach data science pods, supporting skill development and solution design.Act as a subject matter expert on ML architecture, model calibration, and productionisation, promoting responsible AI practices and scalable model governance where applicable.What We’re Looking ForHands-on experience building and deploying data ...

complex challenges and maximize the value of their data. At Deloitte, you will be able to build your career, access the best training and learning opportunities, and develop new skills and hone existing ones. We work for a huge variety of interesting, international, and world-leading clients on exciting … date with the latest generative AI technologies, trends, and best practices.Connect to your skills and professional experience Candidates must have experience in AI/ML Engineering involving some or all the following areas:Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics, or a related field.Experience leading the delivery ...

Test, Smart Audit and Smart Shield), Employee Document Management and Pay Transparency Analyzer. You will lead the design and delivery of advanced AI/ML solutions that improve the functionality, scalability, and efficiency of our Workday product suite. You will focus on cutting edge innovations, such as predictive analytics … problems. Strong programming skills in Python, with an emphasis on writing clean, efficient, and maintainable code to enable scalable and production-grade AI/ML solutions. Extensive experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch), with the ability to design, implement, and optimise scalable solutions while ...

Test, Smart Audit and Smart Shield), Employee Document Management and Pay Transparency Analyzer. You will lead the design and delivery of advanced AI/ML solutions that improve the functionality, scalability, and efficiency of our Workday product suite. You will focus on cutting edge innovations, such as predictive analytics … problems. Strong programming skills in Python, with an emphasis on writing clean, efficient, and maintainable code to enable scalable and production-grade AI/ML solutions. Extensive experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch), with the ability to design, implement, and optimise scalable solutions while ...

Data Science ManagerAre you an experienced Data Science leader with a passion for building and scaling AI/ML products Lead a team of exceptional Data Scientists and ML Engineers building next-generation AI solutions for financial markets. Drive innovation using LLMs, Generative AI, Deep Learning, Transformers, Agentic … closely with Engineering teams to productionize AI solutions and drive operational excellence.Build, mentor, and lead high-performing teams of Data Scientists and AI/ML practitioners.Set clear goals, drive accountability, and support career growth and development.Lead performance management, coaching, feedback, and talent development activities.Foster a culture of innovation, collaboration, ownership ...

Data Science ManagerAre you an experienced Data Science leader with a passion for building and scaling AI/ML products Lead a team of exceptional Data Scientists and ML Engineers building next-generation AI solutions for financial markets. Drive innovation using LLMs, Generative AI, Deep Learning, Transformers, Agentic … closely with Engineering teams to productionize AI solutions and drive operational excellence.Build, mentor, and lead high-performing teams of Data Scientists and AI/ML practitioners.Set clear goals, drive accountability, and support career growth and development.Lead performance management, coaching, feedback, and talent development activities.Foster a culture of innovation, collaboration, ownership ...

Posted Todayjob requisition id: R0121775# Data Science Manager## Are you an experienced Data Science leader with a passion for building and scaling AI/ML products Lead a team of exceptional Data Scientists and ML Engineers building next-generation AI solutions for financial markets. Drive innovation using **LLMs, Generative … Engineering teams to **productionize AI solutions and drive operational excellence**.* Build, mentor, and lead high-performing teams of **Data Scientists and AI/ML practitioners**.* Set clear goals, drive accountability, and support career growth and development.* Lead performance management, coaching, feedback, and talent development activities.* Foster a culture ...

research. Strong software engineering skills, with a track record of building and maintaining production‐quality systems. Expert‐level Python experience with numerical, statistical, or ML libraries (e.g. NumPy, pandas, PyTorch, JAX, TensorFlow). Deep understanding of statistical modelling, optimisation, or machine‐learning techniques. Experience building and operating backend … systems and data pipelines in a cloud environment (e.g. AWS, GCP, or Azure). Experience validating, testing, and deploying quantitative or ML models. Comfortable working with high ownership in a small, senior team, partnering closely with Founders. Strong analytical judgement, communication skills, and attention to detail. Desired Experience with designing ...

join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future … with CI/CD pipelines (e.g., Jenkins, GitLab CI, Azure DevOps).Experience with cloud platforms (e.g., AWS, Azure, GCP) and their relevant services.AI/ML:Familiarity with AI/ML concepts and frameworks (e.g., Python, TensorFlow, PyTorch, LangChain, LlamaIndex).Direct experience in developing, integrating, and deploying agentic AI systems.Leadership & Soft ...

speed, reliability, and operational excellence.Key ResponsibilitiesRapid Prototyping & Application Development: Lead the end-to-end development of applications that integrate and leverage AI/ML models, from architectural design, data schema design, data pipeline construction, and rapid prototyping to initial deployment and operationalization, utilizing cloud-native services (e.g., serverless, containerization, managed …/ML platforms) and CI/CD pipelines for accelerated delivery. Implement robust MLOps practices to streamline model deployment, monitoring, and lifecycle management in cloud environments, including data versioning, feature store integration, and data pipeline management.Business Partnership & Solution Architecture: Collaborate closely with business and engineering teams to deeply understand their ...

Knowledge and Experience Essential: 8-10 years of experience in software architecture or technical lead roles with 4-5 years focused on AI/ML platforms and data-intensive systems Proven experience designing end-to-end architectures or processes for AI/ML systems in production environments supporting large user … management systems Demonstrated ability to work effectively with both technical teams and business stakeholders, translating between technical and business language Proficiency in AI/ML technologies including model training platforms, deployment frameworks, data pipelines, and monitoring tools Experience with distributed systems design, API architecture, and microservices patterns for building scalable ...

solutions on modern data platforms. This is a platform-aligned Applied AI role within the Data Science capability. It is not focused on deep Machine Learning research or building custom models from scratch; it is focused on applying platform-native AI capabilities to enterprise data problems … other up. We collaborate across borders, share openly and succeed as one global team. Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. We are also proud to share that we have a range of Inclusion Networks such as: the Women’s Business ...

London, United Kingdom | Posted on 23/07/2026 Contract Role: Senior AI/ML Research Engineer Contract Location: London Contract Duration: 6 months initially (with potential extension) Contract Start Date: Immediate Contract Classification: Inside IR35 Daily Rate breakdown Traditional Daily Rate: £600 The Senior AI/ML Research … Engineer will be a key member of the GenAI team within the Data & AI organisation, responsible for designing, developing, and deploying scalable AI/ML solutions across multiple business areas. The role focuses on delivering production-grade machine learning systems while ensuring alignment with enterprise quality, reliability ...

business. You will be building production-grade Agentic AI services, developing end-to-end AIML pipelines, Your expertise in Python, LLM ,Agentic Development and ML Ops will be crucial in this role.Job responsibilitiesWork closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize … cases.Design, develop, and deploy state-of-the-art AI/ML/LLM/GenAI solutions to meet business objectives.Manage, mentor, and guide a team of ML and MLOps engineers.Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency.Implement optimization strategies to fine-tune generative models ...

high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI/ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining … qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well‐researched interest in NLP Broad knowledge of MLOps tooling ...

Join a high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank.As an Applied AI/ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront … experience.Required qualifications, capabilities, and skillsMasters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, StatisticsSolid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.)Specialism or well-researched interest in NLPBroad knowledge of MLOps tooling – for versioning, reproducibility ...

part of something bigger. As a Senior Data Scientist within Kainos’ Workday Products division , you'll be responsible for developing high quality AI and ML solutions for our fast growing suite of Workday products – including Kainos Smart (Smart Test, Smart Audit and Smart Shield), Employee Document Management and Pay Transparency … Analyzer. You will work on the design and delivery of advanced AI/ML solutions that improve the functionality, scalability and efficiency of our Workday product suite. You may also carry some formal line management responsibilities, including appraisals, for more junior members of the team. Essential Experience: Typically ...

part of something bigger. As a Senior Data Scientist within Kainos' Workday Products division , you'll be responsible for developing high quality AI and ML solutions for our fast growing suite of Workday products - including Kainos Smart (Smart Test, Smart Audit and Smart Shield), Employee Document Management and Pay Transparency … Analyzer. You will work on the design and delivery of advanced AI/ML solutions that improve the functionality, scalability and efficiency of our Workday product suite. You may also carry some formal line management responsibilities, including appraisals, for more junior members of the team. Essential Experience: Typically ...

prompt flows, connectors and agent behaviours, defining secure, scalable solution architectures.Build and maintain AI components (e.g. RAG, classification, recommendation, summarisation) using Python and modern ML/LLM frameworks.Implement end-to-end MLOps pipelines for development, testing, deployment and monitoring of Copilot and AI solutions, and deploy them into production environments … business.A little bit about you...Degree in Computer Science, Data Science, Software Engineering, Mathematics, Engineering or a closely related field.Previous experience in AI, data science, ML engineering or advanced analytics.hands-on experience designing, building and deploying Copilot and/or agentic AI solutions (e.g. Microsoft 365 Copilot extensions, Azure OpenAI-based ...

deep dives with stakeholders across various departments. Define the technical feasibility of proposed AI use cases, identifying appropriate model architectures (LLMs, SLMs, or traditional ML) and success metrics (Accuracy, F1-score, Perplexity, etc.). Analyze existing business processes to identify automation opportunities and areas where Generative AI can provide … security, and ethical AI principles. 11+ years of experience in Information Technology, Software Engineering, or Data Science, with a significant focus on AI/ML development. Strong understanding of Generative AI landscapes , including LLMs, prompt engineering, and vector databases (e.g., Pinecone, Weaviate, Milvus). Proven ability to architect ...

software solutions for XVA risk systems, writing and reviewing production‐quality code while ensuring alignment with enterprise architecture standards. Build and integrate AI and Machine Learning solutions into core XVA workflows — applying Generative AI tooling to automate processes, improve analytical accuracy, and measurably accelerate engineering output. Take … infrastructure as code. Master's degree in Computer Science, Finance, or a related field; professional certifications such as PMP, CSM, or AI/ML credentials are a plus. Prior experience applying AI or automation specifically within risk analytics, trading systems, or regulatory reporting workflows. Benefits Competitive base salary, annually reviewed ...