476 to 500 of 1,243 Machine Learning Jobs

work independently and manage priorities effectively. Preferred Skills Experience working with low-resource languages . Familiarity with international language classification standards. Experience collaborating with machine learning engineers, NLP researchers, or data scientists . Background in corpus linguistics or linguistic fieldwork . Experience contributing to academic or technical research ...

Data Engineering or equivalent professional accreditation such as CEng. Experience with graph databases and advanced query languages (e.g., Neo4j, Gremlin). Knowledge of machine learning data pipelines and MLOps practices. Familiarity with data virtualisation and data mesh concepts. Hands-on experience with containerisation and orchestration (Docker, Kubernetes ...

must have written production grade code in C#, C++ or Python for application development (not web apps or embedded) and an interest in pushing Machine Learning over time. Crucially we are looking for experience with AWS Cloud/Distributed Computing to be considered. Your new role In this ...

innovation and continuous learning. Communicating complex technical concepts clearly to non-technical stakeholders and project teams. Staying abreast of emerging technologies in data science, machine learning, digital twins and any other innovations relevant to the built environment. ABOUT YOU We value people who can think analytically and creatively ...

Actions Work with Data Engineering team to implement robust and trustworthy data to support high-performance Kafka streams and predictive models Deploy and maintain machine learning models as APIs for use in our live environments Employ a variety of languages and tools (e.g. scripting languages) to develop ...

Actions Work with Data Engineering team to implement robust and trustworthy data to support high-performance Kafka streams and predictive models Deploy and maintain machine learning models as APIs for use in our live environments Employ a variety of languages and tools (e.g. scripting languages) to develop ...

Knowledge of APIs, system integration, and microservices Client-facing experience or delivery-focused roles Strong problem-solving and communication skills Desirable: Exposure to AI, ML, or data platforms DevOps, CI/CD, or infrastructure as code experience Consulting or technical delivery background Location: UK Hybrid, with occasional client visits ...

decisions Translate technical insights into product & revenue impact What we’re looking for 4+ years in hands-on Data Science Strong Python + cloud ML/data tooling (GCP, AWS, or similar) Proven track record of shipping models into production Strong experimentation & product analytics experience Product mindset — you care about ...

using Large Language Models (LLMs) Perform prompt engineering and optimisation for enterprise-scale applications Build AI-driven applications using Python and modern AI/ML frameworks Integrate AI capabilities into enterprise systems, APIs and data platforms Collaborate with stakeholders to translate business requirements into AI solutions Support model evaluation, tuning ...

based Source Control. Experience of State management libraries. SQL experience. Exposure to Azure, cloud services, or distributed architectures. Interest in AI/ML and how it can enhance enterprise software. Agile sprint methodology Why You’ll Love working here Real Impact: Solve real problems that matter Strong Engineering Culture: Work ...

Experience: The incumbent should have 1012+ years of experience in IT services sales in the European market , with at least 5+ years selling AI, ML, and data-led solutions . Exposure to the EMEA region is highly desirable, with a proven track record of closing large, complex AI transformation deals ...

build effective solutions You're comfortable with using AI tools (e.g. Claude, Codex) and integrating them in user workflows You're familiar with ML workflows, Snowflake and PaaS You have achieved a 2.1 or above from a top tier university in a STEM discipline What ...

across multiple projects concurrently and adapting to varied technical challenges Collaborating with multidisciplinary engineers to integrate software with hardware and wider system components Rapidly learning and applying new technologies Contributing to problem-solving throughout the development process Supporting software used to control hardware platforms, sensors, or custom devices Requirements … technologies quickly Working knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) Suitable ...

Learning, or Generative AI products Strong understanding of user-centric product development Experience with tools and platforms such as: AWS (AI/ML services) Hugging Face LLMs and Generative AI workflows Ability to work in fast-paced, ambiguous environments Strong stakeholder management and communication skills Commercial awareness ...

/Cloud (Enterprise Scale) We are seeking a highly experienced AI Architect to lead the design, standardisation, and governance of enterprise-scale AI/ML and Generative AI platforms spanning data, application, and cloud infrastructure layers. This is a senior architecture position centred on building and overseeing production-grade … Transformer models), including RAG pipelines and vector database integrations Establish and lead LLMOps/MLOps strategy, including model lifecycle management, CI/CD for ML, model registries, and monitoring frameworks Design and deliver scalable, cloud-native AI platforms across Azure, AWS, or GCP Ensure Responsible AI standards, governance, security, compliance ...

opportunity to work on innovative large language model (LLM) applications in a collaborative, fast-paced environment. Key Responsibilities Design, develop, and deploy AI/ML solutions with a focus on LLM-based applications Build and maintain scalable data pipelines and AI services using Python and AWS Fine-tune, evaluate … governance standards required for government projects Contribute to best practices, code quality, and documentation Required Skills & Experience Minimum 3 years’ experience in AI/ML engineering, with hands-on experience in LLMs Strong programming skills in Python Proven experience working with AWS (e.g. S3, Lambda, SageMaker, ECS) Experience delivering solutions ...

tooling. · Become a subject matter expert for the data platform and supporting processes, actively sharing knowledge and contributing to our culture of continuous learning and development. · Regularly reviewing colleagues’ work and providing helpful feedback. · Contribute to technical discovery by working with stakeholders to clarify problems, challenge assumptions and shape … managing AWS services using infrastructure as code such as AWS CloudFormation or Terraform. · Understanding of Apache Spark, Apache Trino or other big data and machine learning systems. · Knowledge of Serverless technologies, framework and best practices. · Experience provisioning and managing Apache Airflow. · Exposure to using AI tools to enhance ...

tooling. · Become a subject matter expert for the data platform and supporting processes, actively sharing knowledge and contributing to our culture of continuous learning and development. · Regularly reviewing colleagues’ work and providing helpful feedback. · Contribute to technical discovery by working with stakeholders to clarify problems, challenge assumptions and shape … managing AWS services using infrastructure as code such as AWS CloudFormation or Terraform. · Understanding of Apache Spark, Apache Trino or other big data and machine learning systems. · Knowledge of Serverless technologies, framework and best practices. · Experience provisioning and managing Apache Airflow. · Exposure to using AI tools to enhance ...

data science solutions including data ingestion, feature engineering, model development, deployment, and monitoring Define logical and physical architectures for analytics platforms, ML pipelines, and AI products Ensure solutions are scalable, reusable, secure, and cost effective Select appropriate ML/AI techniques (e.g., regression, classification, NLP, forecasting, clustering) 2. Data & Analytics … Development & Deployment Strategy Guide data scientists on: Model selection and evaluation strategies Experiment tracking and reproducibility Design MLOps frameworks for: CI/CD of ML models Model versioning and governance Monitoring drift, accuracy, and bias 4. Technology & Platform Governance Define standards for: Programming languages and frameworks Cloud vs on prem ...

data science solutions including data ingestion, feature engineering, model development, deployment, and monitoring Define logical and physical architectures for analytics platforms, ML pipelines, and AI products Ensure solutions are scalable, reusable, secure, and cost effective Select appropriate ML/AI techniques (e.g., regression, classification, NLP, forecasting, clustering) 2. Data & Analytics … Development & Deployment Strategy Guide data scientists on: Model selection and evaluation strategies Experiment tracking and reproducibility Design MLOps frameworks for: CI/CD of ML models Model versioning and governance Monitoring drift, accuracy, and bias 4. Technology & Platform Governance Define standards for: Programming languages and frameworks Cloud vs on prem ...

work in the UK Desirable Experience Interest in sport and performance analytics Understanding of market pricing or forecasting models Knowledge of Bayesian methods, machine learning, or advanced statistical techniques Experience with optimisation methods or automated decision systems Familiarity with databases (SQL or NoSQL) Experience with additional programming languages … What’s on Offer Research-focused and collaborative environment Opportunity to take models from concept through deployment Ongoing professional development and learning support Competitive salary and benefits ...

strategy and delivering innovative solutions across large-scale environments. Key Responsibilities AI Solution Architecture Design and architect enterprise-grade GenAI, Agentic AI and ML solutions aligned to client business goals. Build scalable architectures using modern cloud platforms ( Azure, AWS or GCP ). Lead the design of RAG-based solutions … Weaviate, FAISS). Solid understanding of prompt engineering, model tuning, and AI evaluation methodologies . Experience building production-grade AI systems using Python and ML frameworks (PyTorch, TensorFlow). Knowledge of MLOps/LLMOps practices and tooling (MLflow, Kubeflow, Docker, Kubernetes). Experience delivering AI solutions on AWS, Azure ...

optimisation , often delivered using modern platforms such as Palantir Foundry alongside Python and cloud technologies. What You'll Be Doing Building optimisation models and ML solutions to support decision-making Applying techniques such as mixed integer programming, simulation and advanced analytics Developing production-ready pipelines and models Working directly with … deliver value Delivering projects in an Agile (Discovery Alpha Beta Live) environment What They're Looking For Strong Python and data science/machine learning experience Exposure to optimisation or operations research (e.g. MIP, linear/non-linear programming, solvers like Gurobi, CPLEX, OR-Tools) Experience delivering ...

simulation environments to accelerate development and reduce deployment risk. Work with scientists to translate lab methods into automation-friendly procedures; work with Data/ML to stream rich telemetry and results downstream. Requirements Advanced degree (PhD) or MSc with equivalent industry experience. Proven experience automating laboratory workflows with liquid handlers … afterthought. Desirable Experience with fabrication and prototyping, including 3D printing custom parts to adapt or extend lab equipment. Familiarity with data engineering or ML pipelines, particularly for streaming structured experimental telemetry. Experience in pharmaceutical, biotech, or regulated lab environments. Benefits Competitive base salary alongside a meaningful equity package, giving ...

iterative improvement in analytical practices, service delivery, and stakeholder engagement. Proven ability to mentor and develop others, sharing expertise, and fostering a culture of learning and innovation. Detailed understanding of performance measurement frameworks and evaluation methodologies, with the ability to align them to NHS policy and strategic priorities. Ability … designing large scale, complex analytical and reporting projects that deliver strategic insights, including the application of data science approaches such as predictive modelling, machine learning and statistical analysis. Experience in developing and designing insightful, user-focused dashboards (e.g. Power BI/Tableau) that support strategic decision-making ...