651 to 675 of 10,431 Machine Learning Jobs in the UK

Grow with us. We are looking for a Machine Learning Engineer to work along the end-to-end ML lifecycle, alongside our existing Product & Engineering team. About Trudenty: The Trudenty Trust Network provides personalised consumer fraud risk intelligence for fraud prevention across the commerce and payments ecosystem, starting with first-party and APP fraud prevention. We are at … datasets. Analyze and preprocess large datasets to extract meaningful insights and features for model training MLOps - Deployment into production environments, Monitoring and Maintenance Experience deploying and maintaining large-scale ML inference pipelines into production Implement and monitor model performance in production environments on Kubernetes and AWS cloud platforms. Utilize Docker for containerization and orchestrate containerized applications using Kubernetes. Code Review … have proven experience with data science and a track record of implementing fraud prevention, credit scoring or personalization algorithms. Setting up and maintaining real data pipelines to feed your ML models is light work for you, and you would have been as comfortable if this JD was for a 'data engineer'. You have worked in a high growth and More ❯

Pension scheme. Find out what benefits a Civil Service Pension provides. A Civil Service Pension. 25 days Annual Leave per annum. 9 days Public and Privilege holidays per annum. Learning and Development tailored to your role. See the attached candidate pack. Selection process details This vacancy is using Success Profiles (opens in a new window), and will assess your … London, England, United Kingdom 1 week ago Business Data Architect – Keying and Linking 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 London, England, United Kingdom 1 month ago City Of London, England, United Kingdom 1 month ago London, England More ❯

Royal Canin Global Data & Analytics Team who will accelerate the shaping and delivery of our Data & Analytics Agenda. The Machine Learning and AI Engineering Lead will oversee ML and AI solution development and deployment as a capability served across the end-to-end Data & Analytics solution portfolio. The role integral to the organization's mission of leveraging advanced … technologies to drive innovation and efficiency across the organisation. The role will work closely with the Data Science Lead to develop and execute an AI and ML roadmap aligned with business goals and requirements. What will be your key responsibilities? Serve as the technical lead for Generative AI and machine learning model deployment within RC D&A. Collaborate … with the Data Science team to design, prototype and build next ML and AI products and accelerators. Design, architect and review technical architecture for data science, machine learning and AI solutions and provide feedback for optimal implementation. Develop and oversee the implementation of an MLOps and LLMOps strategy. Align and contribute towards the wider Petcare MLOps strategy. Review More ❯

to expand the understanding and impact of machine learning and AI throughout Trainline. We are looking for a Machine Learning Engineer to join the Product ML team to help shape the future of train travel. You will build highly innovative AI and ML products working alongside engineers, scientists and product managers to tackle complex challenges by … travel. As a part of Trainline you will be joining an environment where learning and development is top priority. You will have the opportunity to work with fellow ML enthusiasts on large-scale production systems, delivering highly impactful products that make a difference to our millions of users. As a Machine Learning Engineer at Trainline you will... … to propose innovative data products that leverage Trainline’s extensive datasets and state of the art algorithms Create the tools, frameworks and libraries that enables the acceleration of our ML products delivery and improve our workflows Take an active part in our AI and ML community and foster a culture of rigorous learning and experimentation We'd love to More ❯

The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large Language Model (LLM)-based solutions. We deliver professional services engagements to help our customers build, scale, and optimize ML pipelines, as well as put those pipelines into production. We work cross-functionally to shape long-term … the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in LLMs, MLOps, and ML more broadly. The impact you will have: Develop LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation … of domains Advise data teams on various data science such as architecture, tooling, and best practices Present at conferences such as Data+AI Summit Provide technical mentorship to the larger ML SME community in Databricks Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap What we look for: Experience building Generative AI applications More ❯

Principal Machine Learning Scientist - Optimization Expert Join to apply for the Principal Machine Learning Scientist - Optimization Expert role at intelmatix Principal Machine Learning Scientist - Optimization Expert 1 day ago Be among the first 25 applicants Join to apply for the Principal Machine Learning Scientist - Optimization Expert role at intelmatix Get AI-powered … London, England, United Kingdom 2 weeks ago Lecturer in Artificial Intelligence and Machine Learning for Sustainable Construction London, England, United Kingdom 1 week ago Senior AI/ML Engineer (Data Science & Software Focus) London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 month ago London, England, United Kingdom 6 days ago Graduate Recruiter - Systematic Trading … Technology & Machine Learning Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI) London, England, United Kingdom 2 weeks ago Distinguished Research Scientist, Physics Informed AI London, England, United Kingdom 2 days ago London, England, United Kingdom 3 hours ago Quantitative Researcher with Machine Learning experience, Systematic Equities Greater London More ❯

Royal Canin Global Data & Analytics Team who will accelerate the shaping and delivery of our Data & Analytics Agenda. The Machine Learning and AI Engineering Lead will oversee ML and AI solution development and deployment as a capability served across the end-to-end Data & Analytics solution portfolio. The role integral to the organization's mission of leveraging advanced … technologies to drive innovation and efficiency across the organisation. The role will work closely with the Data Science Lead to develop and execute an AI and ML roadmap aligned with business goals and requirements. What will be your key responsibilities? Serve as the technical lead for Generative AI and machine learning model deployment within RC D&A. Collaborate … with the Data Science team to design, prototype and build next generation ML and AI products and accelerators. Design, architect and review technical architecture for data science, machine learning and AI solutions and provide feedback for optimal implementation. Develop and oversee the implementation of an MLOps and LLMOps strategy. Align and contribute towards the wider Petcare MLOps strategy. More ❯

Royal Canin Global Data & Analytics Team who will accelerate the shaping and delivery of our Data & Analytics Agenda. The Machine Learning and AI Engineering Lead will oversee ML and AI solution development and deployment as a capability served across the end-to-end Data & Analytics solution portfolio. The role integral to the organization's mission of leveraging advanced … technologies to drive innovation and efficiency across the organisation. The role will work closely with the Data Science Lead to develop and execute an AI and ML roadmap aligned with business goals and requirements. What will be your key responsibilities? Serve as the technical lead for Generative AI and machine learning model deployment within RC D&A. Collaborate … with the Data Science team to design, prototype and build next generation ML and AI products and accelerators. Design, architect and review technical architecture for data science, machine learning and AI solutions and provide feedback for optimal implementation. Develop and oversee the implementation of an MLOps and LLMOps strategy. Align and contribute towards the wider Petcare MLOps strategy. More ❯

in working patterns and a company-wide culture to be proud of. Core skills were looking for to succeed in the role: A strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc You … model development, with an emphasis on auditability, versioning, and data security. You'll implement automated data science model testing and validation. You'll assist in the optimisation of deployed ML model scoring code in production services. You'll assist in the design and implementation of data pipelines and engineering infrastructure to embed scaled machine learning solutions. You'll … the wider engineering community. You'll collaborate closely with data scientists, data engineers, architects, and the software development team. You'll liaise with stakeholders across the business to ensure ML is being used to improve strategic business decisions and identify new areas for improvements. You'll adhere to the Group Code of Conduct and Fitness and Propriety policies, Company Policies More ❯

in working patterns and a company-wide culture to be proud of. Core skills were looking for to succeed in the role: A strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc You … model development, with an emphasis on auditability, versioning, and data security. You'll implement automated data science model testing and validation. You'll assist in the optimisation of deployed ML model scoring code in production services. You'll assist in the design and implementation of data pipelines and engineering infrastructure to embed scaled machine learning solutions. You'll … the wider engineering community. You'll collaborate closely with data scientists, data engineers, architects, and the software development team. You'll liaise with stakeholders across the business to ensure ML is being used to improve strategic business decisions and identify new areas for improvements. You'll adhere to the Group Code of Conduct and Fitness and Propriety policies, Company Policies More ❯

criteria, monitor impact, and ensure measurable value is delivered at each stage of implementation Required Skills & Experience: Proven experience in solution architecture, with a strong focus on AI/ML or GenAI or Geo-Int implementations across complex environments Hands-on experience delivering AI/GenAI solutions in networks, telecommunications, or customer experience domains is strongly preferred Deep understanding of … Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field Certifications in cloud architecture (e.g., AWS/GCP/Azure Certified Architect), AI/ML, or TOGAF are a plus Familiarity with telco architecture, OSS/BSS systems, or geospatial analytics is an advantage More ❯

setting delivery standards. You will: Engage clients to understand their challenges, designing innovative Agentic AI and LLM-driven solutions. Architect and implement robust AI systems, including end-to-end ML/LLM pipelines and autonomous agentic workflows. Promote and establish best practices in LLMOps, AI lifecycle management, and cloud-native AI infrastructure. Mentor and develop team expertise, positioning Hypercube as … Agentic AI architectures and LLM frameworks. End-to-End AI Delivery Design, build, and maintain scalable AI and LLM-based pipelines using AWS or Azure services (e.g., SageMaker, Azure ML, Databricks, OpenAI integrations). Oversee AI model lifecycles from data preprocessing and prompt engineering through to deployment and continuous monitoring in production environments. Collaboration & Stakeholder Management Coordinate with cross-functional … and agent-based AI workflows. Cloud AI (AWS/Azure): Demonstrated experience delivering AI solutions in production cloud environments. Advanced Python: Expertise in developing efficient, production-grade AI/ML code. LLMOps & AI Model Management: Experience with tools like MLFlow, LangChain, Hugging Face, Kubeflow, or similar platforms. Data Processing: Proficient with Databricks/Spark for large-scale AI data processing. More ❯

About our Data & ML team Data & AI powers our growth and innovation. We build enterprise platforms to create actionable insight enabling colleagues to make effective decisions and create proactive, automated, hyper-personalised experiences for our customers. We have a growing data and AI team in the UK and Netherlands. We function as the backbone for a variety of data-hungry … the business within Marketing, Finance, Operations and Product teams. Our AI photo services are at the heart of our consumer experience and we're expanding our footprint towards decentralised ML adoption within the business. As a team, we have come together through mergers. We are at the end of a phase of simplification of legacy infrastructure and moving into the … in the software development lifecycle, delivering high-quality software through your own work, and fostering a feedback culture within the team. Influence key decision-making across the data and ML engineering domain on technical approaches to balance delivering near-term commercial impact and building long-term foundations. Our Tech Stack Cloud Data Warehouse - Snowflake AWS Data Solutions - Kinesis, SNS, SQS More ❯

Document solutions, best practices, and key learnings, sharing knowledge and providing mentorship to team members where necessary. Requirements Experience: Degree in Computer Science or related field Industrial experience using ML and GenAI to build NLP components for products Experience with prompt engineering Experience writing, reviewing, and maintaining production-quality Python code for NLP applications Experience working with CI/CD … pipelines Experience deploying ML and LLMs in production Experience working with serverless framework in AWS Experience translating complex, subjective business problems into actionable AI solutions Experience working on FinTech Experience fine-tuning LLMs Experience leading client-facing projects MsC in Computer Science or related field Experience with infrastructure as code frameworks like AWS CDK Skills: Excellent Python skills Excellent written More ❯

Document solutions, best practices, and key learnings, sharing knowledge and providing mentorship to team members where necessary. Requirements Experience: Degree in Computer Science or related field Industrial experience using ML and GenAI to build NLP components for products Experience with prompt engineering Experience writing, reviewing, and maintaining production-quality Python code for NLP applications Experience working with CI/CD … pipelines Experience deploying ML and LLMs in production Experience working with serverless framework in AWS Experience translating complex, subjective business problems into actionable AI solutions Experience working on FinTech Experience fine-tuning LLMs Experience leading client-facing projects MsC in Computer Science or related field Experience with infrastructure as code frameworks like AWS CDK Skills: Excellent Python skills Excellent written More ❯

and powerful ways. Onyx is 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, metadata- and automation-driven 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, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Purpose of Onyx A Senior Engineer is a leading technical contributor More ❯

and delivering that through the platform. The role will also be responsible for supporting the integrating to system and client APIs and preparing the ground for future AI/ML need in the business. The key differentiator we are looking for is someone who can build a data engineering capability from the ground up and build a team to support … role relate to maintaining and delivering a rolling technology roadmap for data engineering that supports business need and budget targets and preparing the ground then delivering on AI/ML opportunity. Key Accountabilities (major end results the job is expected to achieve): Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes to collect, process, and store large More ❯

AI-compatibility. Enable the use of AI-driven data analytics and business intelligence tools to derive valuable insights from data. Promote data-driven decision-making across the organisation. Operationalise ML, GenAI & RAG - strengthen our LLM-based assistant so colleagues can ask plain-English questions and get clear answers Implement data quality management processes to identify and rectify data errors or … Developing and working with a variety of databases and data sets. Developing/optimising high-volume data pipelines, large datasets and big-data architectures. Deploying or supporting AI/ML workflows. Successfully building processes for transforming data, creating unique data structures to suit end uses, ensuring sufficiency of metadata, and developing methods for automated delivery of data sets (software tools More ❯

data platforms using Dataproc, Dataflow, Pub/Sub, BigQuery, Cloud Spanner, and Bigtable. Define and implement real-time and batch processing pipelines for complex use cases involving streaming analytics, ML feature engineering, and automation. Act as a trusted advisor to senior technical and business stakeholders across industries (e.g., telecom, retail, financial services). Drive data quality, governance, lineage, and security More ❯

problem-solving and stakeholder management skills, with the ability to manage complex datasets Desirable: - Certifications in relevant technologies (e.g., Azure Data Engineer, AWS Big Data) - Familiarity with AI/ML tools, data privacy regulations (e.g., GDPR, CCPA) and compliance tools #J-18808-Ljbffr More ❯

data platforms using Dataproc, Dataflow, Pub/Sub, BigQuery, Cloud Spanner, and Bigtable. Define and implement real-time and batch processing pipelines for complex use cases involving streaming analytics, ML feature engineering, and automation. Act as a trusted advisor to senior technical and business stakeholders across industries (e.g., telecom, retail, financial services). Drive data quality, governance, lineage, and security More ❯

data platforms using Dataproc, Dataflow, Pub/Sub, BigQuery, Cloud Spanner, and Bigtable. Define and implement real-time and batch processing pipelines for complex use cases involving streaming analytics, ML feature engineering, and automation. Act as a trusted advisor to senior technical and business stakeholders across industries (e.g., telecom, retail, financial services). Drive data quality, governance, lineage, and security More ❯

data platforms using Dataproc, Dataflow, Pub/Sub, BigQuery, Cloud Spanner, and Bigtable. Define and implement real-time and batch processing pipelines for complex use cases involving streaming analytics, ML feature engineering, and automation. Act as a trusted advisor to senior technical and business stakeholders across industries (e.g., telecom, retail, financial services). Drive data quality, governance, lineage, and security More ❯

data platforms using Dataproc, Dataflow, Pub/Sub, BigQuery, Cloud Spanner, and Bigtable. Define and implement real-time and batch processing pipelines for complex use cases involving streaming analytics, ML feature engineering, and automation. Act as a trusted advisor to senior technical and business stakeholders across industries (e.g., telecom, retail, financial services). Drive data quality, governance, lineage, and security More ❯

data platforms using Dataproc, Dataflow, Pub/Sub, BigQuery, Cloud Spanner, and Bigtable. Define and implement real-time and batch processing pipelines for complex use cases involving streaming analytics, ML feature engineering, and automation. Act as a trusted advisor to senior technical and business stakeholders across industries (e.g., telecom, retail, financial services). Drive data quality, governance, lineage, and security More ❯