301 to 325 of 3,265 Machine Learning Jobs in the UK

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

good. Our work sits across the whole development lifecycle, from prototyping new machine learning models to building scalable and secure production ML systems, and everything in between. Our work spans disruptive startups, multi-national organisations, policing, and secure government sectors, providing you with the unique opportunity to make … passion for coding, machine learning, open source technologies, and setting the standards for their implementation and adoption. Strong experience building production-grade ML software in Python - this could include training and serving machine learning models, building large-scale inference services, or integrating . Experience deploying ML ...

learning, telecom analytics, network performance analytics, or AIOps analytics. Strong Python skills for data analysis, modelling, and automation. Strong knowledge of statistics, ML basics, feature engineering, and model evaluation. Experience working with network KPIs, alarms, telemetry, inventory, topology, or service assurance data. Understanding of telecom network domains including … data can support AI agents and RAG systems. Experience with BigQuery or similar data warehouse/analytics platforms. Required Technical Skills Python. Statistics and ML basics. Network KPI modelling. RAN, Core, IP, SD-WAN, and Transport KPI understanding. Fault analysis and anomaly detection. AIOps analytics. Data aggregation and data pipelines. ...

applied NLP Strong hands-on experience with: Search and retrieval systems (lexical, vector, hybrid) RAG pipelines and LLM-based systems Evaluation methodologies for ML/IR/GenAI Advanced programming skills in Python Experience with modern ML/NLP frameworks (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack) Experience working with … Databricks or similar distributed data/ML platforms Strong understanding of experimentation design and statistical analysis Preferred qualifications Batchelor's, Masters, PhD in Computer Science, Data Science, Machine Learning, or a related field Experience working with large-scale datasets (scientific, biomedical, or enterprise data) Familiarity with scientific ontologies ...

What you ll be doing As Lead Data Scientist, you ll combine deep technical work with strategic leadership: Design and deploy predictive models and ML solutions that power real-time markets. Work hands on with cutting-edge datasets, AI techniques, and scalable data pipelines. Identify patterns and insights that directly … return Fully remote working with flexibility built in. £90,000 £100,000 salary plus additional benefits. Access to huge, high-quality datasets and modern ML tooling. The chance to work on intellectually challenging problems every day. Real influence over large-scale analytical systems and strategy. Clear opportunities for career growth ...

seeking an experienced and adaptable machine learning (ML) and artificial intelligence (AI) engineering professional to join a nimble and best‐in‐class data team at The Beatport Group. The role will report to the Director of Intelligence Engineering and will share in the ownership and delivery of cutting … edge, scalable ML/AI models. Initial Workstreams Recommendations and personalization Search optimization Audio modeling As a Senior ML & AI Engineer, you will be responsible for: Developing and implementing ML and AI based solutions to enhance and optimize the Beatport customer experience, including semantic search, content recommendation/personalization engines ...

What you’ll be doing As Lead Data Scientist, you’ll combine deep technical work with strategic leadership: Design and deploy predictive models and ML solutions that power real-time markets. Work hands on with cutting-edge datasets, AI techniques, and scalable data pipelines. Identify patterns and insights that directly … return Fully remote working with flexibility built in. £90,000–£100,000 salary plus additional benefits. Access to huge, high-quality datasets and modern ML tooling. The chance to work on intellectually challenging problems every day. Real influence over large-scale analytical systems and strategy. Clear opportunities for career growth ...

retrieval architectures (lexical, vector, hybrid) Evaluation methodologies for IR and generative AI systems Strong programming skills in Python Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph , Haystack) Experience working with Databricks or similar distributed data and machine learning platforms Understanding … ranking, recommendation, or retrieval systems Familiarity with scientific, biomedical, or scholarly datasets Experience with knowledge graphs, ontologies, or semantic enrichment systems Exposure to production ML systems and MLOps practices Academic or industry research experience in NLP, information retrieval, search, or generative AI Experience working in content-rich, knowledge-intensive ...

deployment frameworks, and system integrations — with a strong focus on GenAI, NLP, computer vision, and multimodal AI applications. Leverage deep knowledge of AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and enterprise architecture best practices (e.g., microservices, APIs, cloud-native design). AI & Data Platform Architecture/Deployment: Architect … related field 7–10 years of experience in solution architecture, software engineering, or related technical roles, with 4–5 years focused on AI/ML Proven success designing and deploying AI solutions in production environments, including GenAI, NLP, and computer vision Strong understanding of the AI solution lifecycle — from business ...

Automation theme covers all methods and technology that bring digitisation and optimisation of energy to scale using complex algorithms based on data science, machine learning, and the full spectrum of AI techniques (e.g. generative, agentic, etc). Specifically, the role entails: Leading and developing a team of research … domain such as Computer Science, Electrical Engineering, Control Systems, or a related field Experience across a spectrum of libraries, frameworks and services : such as ML libraries e.g. TensorFlow or PyTorch model servers such as AWS Bedrock MLOps such as ML Flow or Sagemaker agent/AI orchestration such as LangGraph ...

retrieval architectures (lexical, vector, hybrid) Evaluation methodologies for IR and generative AI systems Strong programming skills in Python Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph , Haystack) Experience working with Databricks or similar distributed data and machine learning platforms Understanding … ranking, recommendation, or retrieval systems Familiarity with scientific, biomedical, or scholarly datasets Experience with knowledge graphs, ontologies, or semantic enrichment systems Exposure to production ML systems and MLOps practices Academic or industry research experience in NLP, information retrieval, search, or generative AI Experience working in content-rich, knowledge-intensive ...

applied NLP Strong hands‐on experience with: Search and retrieval systems (lexical, vector, hybrid) RAG pipelines and LLM‐based systems Evaluation methodologies for ML/IR/GenAI Advanced programming skills in Python Experience with modern ML/NLP frameworks (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack) Experience working with … Databricks or similar distributed data/ML platforms Strong understanding of experimentation design and statistical analysis Preferred qualifications PhD in Computer Science, Data Science, Machine Learning, or a related field Experience working with large‐scale datasets (scientific, biomedical, or enterprise data) Familiarity with scientific ontologies and metadata standards ...

adoption of the latest AI trends. You will own the full lifecycle of data science engagements: shaping ambiguous problems, designing and delivering statistical and machine learning models, and ensuring they are embedded into operational workflows. You will work across organisations at every stage of data maturity, applying sound … science areas such as: Customer analytics (segmentation, churn, LTV) Pricing and optimisation models Experimental design and causal inference Natural Language Processing (within a traditional ML framework as well as LLM‐based approaches) Other information If you feel that you would be a strong addition to our team ...

share insights and findings with the broader community. Experience coach and mentor junior scientists. What You Bring PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus … learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system. Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end‐to‐end training pipeline. Leverage state ...

support its growth. As Analytics Manager within the Chief Data Office, you’ll oversee all analytics activities—business intelligence, reporting, advanced analytics, and machine learning—across regions and functions. You’ll connect business needs with data solutions, ensuring insights are accessible, reliable, and impactful. Leading a global team … finance. Proven success in delivering impactful global analytics programs and leading diverse analytics teams. Expertise in defining requirements and managing advanced analytics and ML models for structured data. Proficient in Power BI, SQL, Python, Azure, Databricks, and Dataiku, with hands‐on ETL/ELT experience. Strong understanding of ML lifecycle ...

retrieval architectures (lexical, vector, hybrid). Evaluation methodologies for IR and generative AI systems. Strong programming skills in Python. Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack). Experience working with Databricks or similar distributed data and machine learning platforms. … ranking, recommendation, or retrieval systems. Familiarity with scientific, biomedical, or scholarly datasets. Experience with knowledge graphs, ontologies, or semantic enrichment systems. Exposure to production ML systems and MLOps practices. Academic or industry research experience in NLP, information retrieval, search, or generative AI. Experience working in content‐rich, knowledge‐intensive ...

Applied machine learning, computer vision, object detection, image classification, model development and evaluation, data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting … hands-on contributor, working closely with experienced engineers to build reliable, high-performance systems across devices, cloud platforms, and applied ML, contributing to real-world, field-deployed solutions. You will take responsibility for defined components and projects, contributing to system design, implementation, testing, and deployment, while continuing to develop your ...

assembly, binning, and functional characterisation of genomes from metagenomic sequencing data. Collaborate with scientists across EIT to apply the latest developments in AI/ML to real-world challenges in the pathogen space. Work with bioinformaticians and software engineers to implement methods in scalable, reproducible and modular workflows. Perform rigorous … technical concepts to broad audiences and collaborate with interdisciplinary colleagues across the organization. Requirements Three core technical skillsets for this role: bioinformatics algorithm development, machine learning methods, and microbial genomics. Strong candidates will have significant experience in at least two of these three areas, and experience ...

actively working on building a future in which state-of-the-art software, Artificial Intelligence (AI) and Machine Learning (ML) enable us to develop new therapies and personalized medicines that drive better outcomes for patients at reduced cost with fewer side effects. This ambitious mission requires scalable, cloud … models in production with efficient use of compute. Develop and maintain cloud-native architectures that enable reliable deployment and scaling of AI/ML workloads. Deliver robust, tested and high-performance code in an agile environment, and work closely with ML engineers and domain experts to make the infrastructure ...

with stakeholders to design and deliver solutions to complex problems. Develop and expand Data Science capabilities and support capability building within the organisation. Manage machine learning deployment pipelines (MLOps) and resolve potential bottlenecks. Mentor and coach other engineers to support their professional development. Skills and experience that … MLflow, AWS Sagemaker, and Azure Machine Learning. Proven track record of delivering high-quality, scalable data science solutions. Expertise in Data Manipulation, ML, and Statistical Analysis coding packages. Strong experience in testing data models and Machine Learning Models. Proven ability to design, build, and optimise recommender systems. ...

UniversalMusicCareers@umusic.com.**Department** Part of the Global Technology organization, the team’s mission is to design and build state of the art AI/ML tools to support and empower Royalty Manager & Artists, and industry professionals.The team covers the full design & development lifecycle, from explorative research to design to prototypes … products using APIs and custom fine-tuning.* Develop and maintain retrieval systems that operate efficiently at scale.* Explore frontier software engineering in AI/ML for media, and related opportunities for UMG.* Build on state-of-the-art cloud infrastructure.**Be collaborative*** Collaborate with the team and stakeholders to deliver ...