1 to 25 of 59 Machine Learning Jobs in Kent

robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

semi-autonomous agents using modern agent frameworks and Google AI tooling. Collaborate with product and engineering teams to translate complex business requirements into ML-driven solutions. Monitor, optimise, and continuously improve models in live production environments. Contribute to the architecture and evolution of the AI platform and supporting data infrastructure. … Stay current with emerging research, tools, and best practices across ML and Generative AI. What We're Looking For Essential 5+ years' experience in machine learning engineering or applied AI roles. Recent, demonstrable experience with LLMs, Generative AI, and/or RAG-based systems. Strong Python skills using ...

will be the principal technical leader, driving strategy, setting standards, and delivering high-impact solutions that transform business outcomes. Key Responsibilities AI/ML Strategy & Architecture: Define the technical roadmap and architectural standards for deploying and scaling complex AI systems, particularly those involving Generative AI (GenAI), large language models (LLMs … using Apache Spark (Scala) and Hive on massive datasets to support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands ...

will be the principal technical leader, driving strategy, setting standards, and delivering high-impact solutions that transform business outcomes. Key Responsibilities AI/ML Strategy & Architecture: Define the technical roadmap and architectural standards for deploying and scaling complex AI systems, particularly those involving Generative AI (GenAI), large language models (LLMs … using Apache Spark (Scala) and Hive on massive datasets to support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands ...

1.5 hours per session) Deliver practical, industry-aligned training on: Python for Data Science Statistics & Probability Exploratory Data Analysis (EDA) Data Visualization (Matplotlib, Seaborn) Machine Learning (Supervised & Unsupervised) Model Evaluation & Optimization Guide learners through hands-on projects and case studies Support learners during doubt-resolution and interactive discussions … required Ensure session recordings and learning quality standards are maintained Required Skills & Qualifications 4+ years of experience in Data Science/Analytics/ML Strong proficiency in Python, Pandas, NumPy, Scikit-learn Solid understanding of statistics, ML algorithms, and data workflows Prior experience in training, mentoring, or teaching (preferred ...

1.5 hours per session) Deliver practical, industry-aligned training on: Python for Data Science Statistics & Probability Exploratory Data Analysis (EDA) Data Visualization (Matplotlib, Seaborn) Machine Learning (Supervised & Unsupervised) Model Evaluation & Optimization Guide learners through hands-on projects and case studies Support learners during doubt-resolution and interactive discussions … required Ensure session recordings and learning quality standards are maintained Required Skills & Qualifications 4+ years of experience in Data Science/Analytics/ML Strong proficiency in Python, Pandas, NumPy, Scikit-learn Solid understanding of statistics, ML algorithms, and data workflows Prior experience in training, mentoring, or teaching (preferred ...

engineering quality, automation and innovation. Why candidates choose this role You gain ownership over cloud direction and standards. You join a team that encourages learning, experimentation and the use of new technologies. You work in an environment that values both independence and collaboration. You build platforms that directly support ...

engineering quality, automation and innovation. Why candidates choose this role You gain ownership over cloud direction and standards. You join a team that encourages learning, experimentation and the use of new technologies. You work in an environment that values both independence and collaboration. You build platforms that directly support ...

tier conferences (NeurIPS, ICML, ICLR, CVPR) Collaborate globally with researchers across 100+ countries Mentor the next generation of AI researchers REQUIREMENTS: PhD in ML/AI/Computer Vision with strong publication record Deep expertise in diffusion models and generative AI Proven experience with text-to-image generation, multimodal ...

tier conferences (NeurIPS, ICML, ICLR, CVPR) Collaborate globally with researchers across 100+ countries Mentor the next generation of AI researchers REQUIREMENTS: PhD in ML/AI/Computer Vision with strong publication record Deep expertise in diffusion models and generative AI Proven experience with text-to-image generation, multimodal ...

direct reports Strong analytical mindset and data-driven decision-making Understanding of API integrations and Agile methodologies Bonus: Experience building optimisation or AI/ML-powered AdTech solutions Background growing products across multiple verticals Industry thought leadership or published content Experience working with enterprise clients and complex sales cycles Previous ...

direct reports Strong analytical mindset and data-driven decision-making Understanding of API integrations and Agile methodologies Bonus: Experience building optimisation or AI/ML-powered AdTech solutions Background growing products across multiple verticals Industry thought leadership or published content Experience working with enterprise clients and complex sales cycles Previous ...

MLOps workflows. · Work across internal products and contract-based venture projects. Requirements · Strong foundational programming skills in Python. · Basic understanding of AI/ML models and how they are trained, deployed, and run. · Familiarity/understanding with version control software (git). · Ability to work in a fast-moving environment ...

MLOps workflows. · Work across internal products and contract-based venture projects. Requirements · Strong foundational programming skills in Python. · Basic understanding of AI/ML models and how they are trained, deployed, and run. · Familiarity/understanding with version control software (git). · Ability to work in a fast-moving environment ...

sales/solutions consulting/technical consulting roles, especially in the Financial Services or Wealth Management space. Strong technical background: experience with machine learning, LLMs and AI systems; understanding of data pipelines, integrations, APIs, security and compliance sensitive environments. Ability to design solutions vs just selling features: architectural … career growth opportunities 34 days holiday plus your birthday off (inclusive of bank holidays) Share options – we believe in shared success Skills development – continuous learning is at our core, expect the development to be front and centre of everything you do Remote and flexible working – remote, co-working spaces ...

thinking, problem-solving ability, and keen attention to detail Additional Advantages: Familiarity with business intelligence tools (Tableau, Power BI, Looker) Exposure to cloud platforms, machine learning concepts, or participation in hackathons Relevant industry certifications (e.g., Google Data Analytics Certificate, Microsoft Data Analyst Associate) What You Will Gain: Real ...

thinking, problem-solving ability, and keen attention to detail Additional Advantages: Familiarity with business intelligence tools (Tableau, Power BI, Looker) Exposure to cloud platforms, machine learning concepts, or participation in hackathons Relevant industry certifications (e.g., Google Data Analytics Certificate, Microsoft Data Analyst Associate) What You Will Gain: Real ...

into high-quality, structured datasets • Collaborating with engineers and legal specialists to build tools that genuinely shift workloads What they're looking for: • Strong ML fundamentals and hands-on LLM experience • Proficiency in Python and familiarity with modern AI tooling (e.g. embeddings, retrieval, multi-agent architectures, document understanding) • Experience building ...

models. Proficiency with AI-driven tools for product management productivity (e.g., research, requirements drafting, data analysis, workflow automation). Interest in applying AI/ML to billing or financial systems (e.g., anomaly detection, collections optimization, LLM-powered support tools). Strong technical aptitude; able to dive into data models, APIs ...

models. Proficiency with AI-driven tools for product management productivity (e.g., research, requirements drafting, data analysis, workflow automation). Interest in applying AI/ML to billing or financial systems (e.g., anomaly detection, collections optimization, LLM-powered support tools). Strong technical aptitude; able to dive into data models, APIs ...

specialists, they're deliberately building a junior data science pipeline — bringing in smart, curious people early and training them properly. If you've been learning data science, working on projects, or trying to break into the field, this role is designed for you. What You'll Actually … role. The Good Stuff £40,000+ starting salary Genuinely insane benefits package Fully remote working (UK based) Clear progression into Data Scientist/ML roles Structured onboarding and mentoring Flexible working hours Supportive, non-corporate culture Long-term opportunity with real growth How to Apply If you're based ...

collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world's largest brands. Qualification path No previous professional experience is required to apply to this role … exam that will determine your suitability for the position and complete ID verification. Don't worry, our team will provide you with guidelines and learning materials before your exam. You will be required to complete the exam in a specific timeframe but at your convenience! Equal Opportunity All qualified ...

collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world's largest brands. Qualification path No previous professional experience is required to apply to this role … exam that will determine your suitability for the position and complete ID verification. Don't worry, our team will provide you with guidelines and learning materials before your exam. You will be required to complete the exam in a specific timeframe but at your convenience! Equal Opportunity All qualified ...

Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step ...

modern AI ecosystems including generative AI, agentic systems, AI copilots, and orchestration frameworks (e.g. LangChain, AutoGen, CrewAI). Understands how to combine traditional ML and analytics with emerging AI architectures to deliver measurable commercial value. Evolved beyond a purely data science or analytics focus — can bridge data foundations with GenAI ...