2,001 to 2,025 of 10,356 Machine Learning Jobs in the UK

agentic platforms and frameworks to enable dynamic, autonomous user experiences. Lead the implementation of our cutting edge Legal Technology MorAI solutions. Collaborate with product teams to embed AI/ML into key features such as search, summarization, content recommendation, and automation. Drive platform extensibility, scalability, and security for enterprise legal environments. Leverage agentic frameworks to create adaptive and context-aware … prioritization, sprint planning, and release cycles in collaboration with product and design. Grow, mentor, and lead a world-class engineering team across frontend, backend, DevOps, QA, and AI/ML functions. Foster a culture of ownership, continuous improvement, and engineering excellence. Implement effective hiring, onboarding, and growth programs for a high-performing, inclusive engineering culture. Lead and support a distributed … SaaS or enterprise platforms—experience in legal tech is a plus. Deep understanding of agile and DevOps practices; experience managing distributed engineering teams. Demonstrated success in delivering AI/ML-powered applications in production environments. Experience with agentic platform architectures and frameworks in production systems. Strong understanding of architecture, cloud infrastructure (e.g., AWS, Azure), data privacy, and security best practices. More ❯

and client success. Technical & Strategic Advisory Engage in technical discussions with engineers and architects, translating complex concepts for business stakeholders. Support clients in modernizing technology platforms, adopting AI/ML, and leveraging cloud solutions (AWS, Azure, GCP) . Drive strategic initiatives, aligning technology, data, and business needs to optimize delivery and impact. Business Growth & Relationship Management Develop strong relationships with … business acumen with the ability to identify opportunities for account expansion and drive long-term client success . Experience with cloud platforms (AWS, Azure, GCP), data analytics, AI/ML, or digital transformation initiatives . Prior consulting experience or a track record of client-facing leadership . The Engagement Lead Track is designed for individuals who excel at leading teams More ❯

Preferable Additional Skills: Experience with Git and CI/CD pipelines Understanding of Agile methodologies Strong communication skills Experience working in cross-functional teams Basic understanding of AI/ML concepts Python programming experience Desirable(areas you can expect to learn and grow in): Backend/AI Platform: Experience with AI/ML frameworks (PyTorch, TensorFlow) Knowledge of MLOps platforms … and infrastructure Containerization experience (Docker, Kubernetes) Experience with ML model serving Distributed computing knowledge Cloud platform experience (AWS preferred) UI/UX Enhancement: Experience with design systems Knowledge of UX principles for technical applications Expertise in data visualization Experience with interactive dashboards Accessibility standards knowledge Nomura competencies Trusted Partner Understand clients’ needs and issues, and provide solutions utilizing Nomura Group More ❯

and client success. Technical & Strategic Advisory Engage in technical discussions with engineers and architects, translating complex concepts for business stakeholders. Support clients in modernizing technology platforms, adopting AI/ML, and leveraging cloud solutions (AWS, Azure, GCP) . Drive strategic initiatives, aligning technology, data, and business needs to optimize delivery and impact. Business Growth & Relationship Management Develop strong relationships with … business acumen with the ability to identify opportunities for account expansion and drive long-term client success . Experience with cloud platforms (AWS, Azure, GCP), data analytics, AI/ML, or digital transformation initiatives . Prior consulting experience or a track record of client-facing leadership . Career Growth & Progression The Engagement Lead Track is designed for individuals who excel More ❯

Engineer powerful new rating factors to be deployed into our rating algorithms. Identify, analyse and monetise new data sources. Essential skills/experience: Multiple track record of delivery of ML projects from EDA to deployment ,post deployment evaluation and model refreshing. Experience in liaising with multiple stakeholders to effectively frame problems and building solutions with effective commercial outcomes. Keen interest … in emerging ML techniques and their commercial value. Proficiency in Python, SQL, Azure ML, Git, Azure Cloud Services Strong communication skills. Ability to work cross-functionally with Data Engineers, Data Scientists, Actuaries and Pricing Analysts. Personal Attributes Natural problem solver who loves building quality solutions to complex real-world challenges Focuses on the bigger picture but not afraid to get More ❯

closely with global DevOps counterparts (San Diego, Barcelona, Munich) to define standards, share tooling, and improve global collaboration. Evaluate and integrate relevant cloud services (e.g., AWS) and AI/ML-based tools that can support pipeline optimization, code analysis, or defect detection. Implement observability and alerting to improve system reliability, reduce downtime, and ensure early detection of pipeline or environment … environments. Working knowledge of test automation frameworks and integration strategies (e.g., Squish, Pytest, Allure Reports). Solid understanding of cloud services (AWS) and practical use of AI tools or ML-based automation in DevOps workflows is a plus. Familiarity with vulnerability scanning, SBOM generation, and secure pipeline practices. Experience with SonarQube or similar tools for static code analysis and automated More ❯

and client success. Technical & Strategic Advisory Engage in technical discussions with engineers and architects, translating complex concepts for business stakeholders. Support clients in modernizing technology platforms, adopting AI/ML, and leveraging cloud solutions (AWS, Azure, GCP). Drive strategic initiatives, aligning technology, data, and business needs to optimize delivery and impact. Business Growth & Relationship Management Develop strong relationships with … Strong business acumen with the ability to identify opportunities for account expansion and drive long-term client success. Experience with cloud platforms (AWS, Azure, GCP), data analytics, AI/ML, or digital transformation initiatives. Prior consulting experience or a track record of client-facing leadership. Career Growth & Progression The Engagement Lead Track Is Designed For Individuals Who Excel At Leading More ❯

data scientists to focus on research and innovation in synthetic data, enhancing data-driven solutions for clients and Ipsos. You will often support the productionisation and scaling of local ML models, guiding the data science teams and providing the guardrails as they develop and iterate. What will I be doing? As a Data Engineer on the ground-breaking Route project … Cloud storage systems. Experience with containerisation (Docker) and orchestration (Kubernetes). Familiarity with Terraform and data systems optimisation. Commitment to data quality and experience in synthetic data, AI/ML model deployment. Excellent communication skills and a collaborative and positive mindset. Willingness to learn. GCP certifications are a plus. We offer a comprehensive benefits package designed to support you as More ❯

data scientists to focus on research and innovation in synthetic data, enhancing data-driven solutions for clients and Ipsos. You will often support the productionisation and scaling of local ML models, guiding the data science teams and providing the guardrails as they develop and iterate. What will I be doing? As a Data Engineer on the ground-breaking Route project … Cloud storage systems. Experience with containerisation (Docker) and orchestration (Kubernetes). Familiarity with Terraform and data systems optimisation. Commitment to data quality and experience in synthetic data, AI/ML model deployment. Excellent communication skills and a collaborative and positive mindset. Willingness to learn. GCP certifications are a plus. We offer a comprehensive benefits package designed to support you as More ❯

Role type: Permanent Location: London/Remote Cloud Architectrequired to join our Satalia team. You will be responsible for creating enterprise-quality AI, ML, and Data Science based solutions. You will be involved in technology selection, API design, and establishing core patterns within our products and client projects. You will consider the functional and non-functional requirements to inform these … doing: Creating enterprise-quality solutions, with extensive experience and familiarity with how enterprise software solutions fit into a wider technical landscape Creating serverless solutions to execute data science and ML models Creating cloud IaC deployment code Guiding a team of Optimisers, Data Scientists, Data Engineers, Cloud Engineers and QAEngineers. Understanding and relating customer/business needs to the technical solutions More ❯

generates valuable insights that empower our clients. Tech: Python, Databricks, Cloud (open to AWS, GCP, Azure), ETL, SQL The teams innovation areas: Advanced LLM implementations Real-time analytics platforms ML model deployment and monitoring Cloud architectures Data mesh and data fabric patterns The package: Up to £110k base 25 days holiday 8% pension Private healthcare Hybrid working (3 days London More ❯

Hiring: Snr. Databricks ML Engineer 📍 Remote (UK-based) | 💰 Up to £110,000 We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production. 🧠 You’ll be someone who: Has deep ML theory … knowledge — ideally a PhD/postdoc in AI/ML Knows when not to use a model based on cost vs. impact Advocates for AI productivity tools and uses them daily Is commercially minded, tech-savvy, and client-facing 🎯 Must-haves: 8+ years in Data Science/ML Engineering 2+ years hands-on with Databricks Strong track record delivering production … grade ML models Solid grasp of MLOps best practices Confident speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

Hiring: Snr. Databricks ML Engineer 📍 Remote (UK-based) | 💰 Up to £110,000 We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production. 🧠 You’ll be someone who: Has deep ML theory … knowledge — ideally a PhD/postdoc in AI/ML Knows when not to use a model based on cost vs. impact Advocates for AI productivity tools and uses them daily Is commercially minded, tech-savvy, and client-facing 🎯 Must-haves: 8+ years in Data Science/ML Engineering 2+ years hands-on with Databricks Strong track record delivering production … grade ML models Solid grasp of MLOps best practices Confident speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

The role will focus on ensuring data integrity, scalability, security, and performance within the Microsoft Azure ecosystem, leveraging Databricks as the core platform for advanced analytics, data engineering, and machine learning. The Data Architect will collaborate closely with stakeholders across the business and in particular with data engineering, data science, and pricing teams to optimise data solutions that drive … policies, and guidelines, ensuring scalability and long-term sustainability. Optimise and modernise data pipelines for efficiency, cost-effectiveness, and high performance, leveraging Databricks’ capabilities for big data processing and machine learning. Collaborate closely with data engineering, data science, and pricing teams to enable real-time analytics, AI-driven insights, and predictive modelling. Drive innovation by evaluating and implementing emerging More ❯

D Associate Machine Learning Scientist Depop Full-time On-site London, United Kingdom Technology Company Description Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the … ceremonies (e.g. following the agile cadence, technical whiteboarding sessions, planning and product roadmapping) Report and present technical findings to technical and non-technical audiences Skills And Experience Experience developing ML models to solve real-world problems, experience working as a Data Scientist or Machine Learning Scientist Proficiency in Python Solid understanding of machine learning concepts, familiarity … player with an ability to work with cross-functional teams, including technical and non-technical stakeholders Passion for learning new skills and staying up to date with applied ML developments Bonus Points Experience with pricing models, causal inference, or revenue optimisation Experience with NLP, image processing, information retrieval, and deep learning models Experience with experiment design and conducting More ❯

with asynchronous programming (e.g., asyncio, Celery). Exposure to message brokers like RabbitMQ, Kafka. Understanding of GraphQL, gRPC, or WebSockets. Previous experience in architecting data-intensive or AI/ML-based systems. Certifications in cloud technologies or architecture (AWS/Azure Architect, TOGAF, etc.). #J-18808-Ljbffr More ❯

enable them to understand your vision for improvements. As part of this role, you will be responsible for. Lead on client projects and be SME for Data Science/ML/AI Work with differing data sets and modelling them ready for use in data science practices Analyse and interpret data to help deliver insights Develop models and algorithms that More ❯

enable them to understand your vision for improvements. As part of this role, you will be responsible for. Lead on client projects and be SME for Data Science/ML/AI Work with differing data sets and modelling them ready for use in data science practices Analyse and interpret data to help deliver insights Develop models and algorithms that More ❯

enable them to understand your vision for improvements. As part of this role, you will be responsible for. Lead on client projects and be SME for Data Science/ML/AI Work with differing data sets and modelling them ready for use in data science practices Analyse and interpret data to help deliver insights Develop models and algorithms that More ❯

role Own the cloud architecture of production solutions across AWS and Azure Design, build and manage infrastructure-as-code Develop CI/CD pipelines to support data engineering and ML/AI model delivery Influence security, cost-efficiency, scalability and standards Lead cloud architecture decisions in project scoping and architecture reviews Contribute to internal capability building in DevOps, cloud strategy More ❯

enable them to understand your vision for improvements. As part of this role, you will be responsible for. Lead on client projects and be SME for Data Science/ML/AI Work with differing data sets and modelling them ready for use in data science practices Analyse and interpret data to help deliver insights Develop models and algorithms that More ❯

to resolve issue. Experience with computer graphics and/or game engines technologies Preferred Qualifications * Designing and implementing real-time pipelines. * Designing and implementing data pipelines for CV/ML systems. * Experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M). * Experience with data quality and validation. More ❯

skills. Desirable: Experience with asynchronous programming (asyncio, Celery). Knowledge of message brokers (RabbitMQ, Kafka). Familiarity with GraphQL, gRPC, or WebSockets. Exposure to data-intensive or AI/ML-based systems architecture. Relevant certifications in cloud technologies or enterprise architecture (AWS/Azure Architect, TOGAF, etc.) Location & Working Pattern: Hybrid role based in Bradford , requiring 3 days per week More ❯

include Y Combinator, Accel, Lakestar and angel investors who were founders or executives of leading companies in London and San Francisco. About the Role We’re looking for a Machine Learning Data Scientist to join our team. In this role, you will design, develop, and deploy machine learning models to solve complex business problems, leveraging large … machine learning algorithms to assist us with these processes Evaluate model performance using appropriate metrics and optimize for accuracy, efficiency, and scalability Collaborate with engineers to integrate ML models into production systems Conduct exploratory data analysis to uncover trends, patterns, and opportunities for improvement Stay current with advancements in machine learning, AI, and data science methodologies … role Master’s or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related field (Bachelor’s with significant experience also considered) 3+ years of experience in data science, machine learning, or a related role Proficiency in programming languages such as Python or R, and libraries like TensorFlow, PyTorch, Scikit-learn, or Pandas Strong understanding of statistical modeling More ❯

with asynchronous programming (e.g., asyncio, Celery). Exposure to message brokers like RabbitMQ, Kafka. Understanding of GraphQL, gRPC, or WebSockets. Previous experience in architecting data-intensive or AI/ML-based systems. Certifications in cloud technologies or architecture (AWS/Azure Architect, TOGAF, etc.). This is an excellent opportunity on a great project of work. If you are looking More ❯