1 to 25 of 52 Machine Learning Jobs in Kent

understanding of programming languages whilst being an analytical thinker. Key Responsibilities: Work alongside the rest of the data team to build clean and robust data pipelines Develop and test machine learning models to assist in making business decisions Carry out adhoc data requests when required Organise the data and model outputs in a format that is readable and … background with a knowledge of key statistical principles – eg Bayesian and frequentist statistics Experience with multiple programming languages including SQL and Python Familiarity with large language models Understanding of ML algorithms This is an excellent opportunity for a Computer Science Graduate to join a thriving business as a Graduate Data Scientist who are leaders within the Financial Services industry. CVs More ❯

on the knowledge of the 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 5 is not a requirement for our job More ❯

time personalization. Hands-on experience with agile product development methodologies. Excellent communication and stakeholder management skills. Knowledge of modern data tools (e.g., Snowflake, Databricks, dbt, Kafka). Understanding of machine learning workflows and personalization engines. Product certifications (e.g., SAFe, Pragmatic, CSPO). Key Success Metrics: Consistent development roll outs of the Horizon CDP platform Increased adoption and usage More ❯

all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong More ❯

all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong More ❯

all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong More ❯

on the knowledge of the 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 5 is not a requirement for our job More ❯

AI Engineer to join our Data and AI team . This role is ideal for someone who has a strong track record of designing, developing, and deploying AI/ML solutions in a business context—from ideation through to production. You will play a pivotal role in shaping and implementing advanced AI-driven insights and personalization strategies that optimize client … engagement and campaign performance across digital, CRM, and relationship management channels for our Financial Services client. Key Responsibilities End-to-End AI Solution Delivery: Lead AI/ML initiatives from conceptual design to production deployment, including problem scoping, data acquisition, model development, validation, deployment, and monitoring. AI-Driven Marketing Insights: Develop predictive and generative models to support audience segmentation, personalization … Monitoring: Deploy models using MLOps practices and tools (e.g., MLflow, Airflow, Docker, cloud platforms) ensuring performance, reliability, and governance compliance. Innovation & Research: Stay current on advancements in AI/ML and proactively bring forward new ideas, frameworks, and techniques that can be applied to marketing use cases. Data Strategy: Collaborate with data engineering teams to ensure the availability of clean More ❯

to login/join with: Brainpool is a fast growing AI start-up, providing custom AI services for business since 2017. Brainpool network of 500 top-level AI and Machine Learning experts supporting delivery of our projects include PhD and MSc-level scientists from top universities such as UCL, Oxford, Cambridge and Harvard. Brainpool provides companies with end … and commercial people. BSc or a MSc in Mathematics, Physics, Computer Science, or an Engineering discipline (STEM). Desirable knowledge and experience Understanding of or working with AI/ML algorithms and data science. Docker and Kubernetes. Experience with Large Language Model stacks, vector databases, Haystack, open-source (Mistral, Falcon, Llama 3), and closed-source models like GPT-4 and More ❯

adapt to its ecosystem. Proficiency in Python programming, especially for data manipulation and engineering. A genuine interest in data science and a desire to expand skills into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent communication and teamwork skills suitable for a consultancy environment. Experience in … for data ingestion, storage, and transformation, ensuring data quality and availability. Writing clean, efficient, reusable Python code for data engineering tasks. Collaborating with data scientists and stakeholders to support machine learning and advanced data modeling initiatives. Researching and integrating the latest cloud technologies and frameworks to drive innovation. Opportunities for learning and cross-skilling in AI, fostering More ❯

Location: maidstone, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 26.06.2025 Expiry Date: 10.08.2025 col-wide Job Description: Job Title: ML Engineering Trainer Location: Fully Remote Job Type: Permanent Role Overview: FIND are working with a Global Data & AI Training/Education specialist who are looking to expand their Data Science … Training team. They’re looking for AI & ML Engineering specialists interested in becoming Trainers/Educators to junior/apprentice ML Engineers This role is ideal for someone who enjoys teaching, mentoring & developing the next generation of ML professionals, while staying engaged with all the current & latest AI technologies and best practices. Key Responsibilities: Deliver high-quality, practical training sessions … in Machine Learning and Artificial Intelligence Engineering. Facilitate both beginner and advanced-level content to AI/ML Engineers and Data Scientist 's working across a variety of companies & industries Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services More ❯

Location: dartford, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 26.06.2025 Expiry Date: 10.08.2025 col-wide Job Description: Job Title: ML Engineering Trainer Location: Fully Remote Job Type: Permanent Role Overview: FIND are working with a Global Data & AI Training/Education specialist who are looking to expand their Data Science … Training team. They’re looking for AI & ML Engineering specialists interested in becoming Trainers/Educators to junior/apprentice ML Engineers This role is ideal for someone who enjoys teaching, mentoring & developing the next generation of ML professionals, while staying engaged with all the current & latest AI technologies and best practices. Key Responsibilities: Deliver high-quality, practical training sessions … in Machine Learning and Artificial Intelligence Engineering. Facilitate both beginner and advanced-level content to AI/ML Engineers and Data Scientist 's working across a variety of companies & industries Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services More ❯

AI-driven analytics platforms. Champion compliance to data governance, privacy, and security standards (GDPR, ISO 27001, NIST). Provide technical executive-level availability and aid to renewal in AI, ML, and scalable cloud data platforms. Define ETL/ELT strategies and optimise cloud resources for performance and cost efficiency. Develop proposals in collaboration with the sales team for AI and … government stakeholders to address complex challenges using AI. Clearly communicate complex technical concepts to non-technical stakeholders. EXPERIENCE & SKILLS REQUIRED Expertise in solution design, data engineering, and AI/ML platform construction. Good with artificial and machine learning systems (Google Vertex AI, Azure ML, AWS SageMaker) and contemporary data tools (BigQuery, Databricks, Snowflake, Spark). Good grasp of … accountable artificial intelligence, ethics, and model explainability. Proficient in integrating artificial intelligence with API-first, microservices, and event-driven designs. Experienced with end-to-end AI/ML solutions, governance, AI roadmaps, and regulatory compliance. Technical presales, proposal writing, cognitive services, and AI automation expertise. Engages senior managers in AI change; runs seminars and PoCs; offers business and government customers More ❯

building chatbots/agents using LLM. ? Tackle complex engineering challenges: Think scalable infrastructure, observability, CI/CD pipelines, and model deployment. ? Work cross-functionally: Partner with product managers and machine learning teams to deliver practical, user-facing AI features. ? Join a company with serious momentum: This team sits within a well-established, profitable tech firm with strong ties … fintech. What You Bring: Experience in software engineering (Python, Go, Kotlin, JS, etc.) Familiarity with modern cloud infrastructure (AWS, GCP, Docker, Kubernetes) Some background or curiosity in AI/ML — personal projects or online courses count A builder’s mindset — excited to learn, prototype, and ship What’s on Offer: ️ Travel perks, sabbaticals, and plenty of paid time off ? A More ❯

ecosystem. Proficiency in Python programming with a focus on data manipulation and engineering. A genuine interest in data science and a drive to expand your skillset into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimising workflows. Excellent communication and teamwork abilities to thrive in a dynamic consultancy environment. … datasets, ensuring data availability and quality across the organization. Write clean, efficient, and reusable Python code tailored to data engineering tasks. Collaborate with data scientists and stakeholders to support machine learning initiatives and advanced data modeling. Drive innovation by researching and integrating the latest cloud-based technologies and frameworks. Opportunities to learn, cross skill in AI and contribute … to a culture of learning, excellence, and collaboration. Bonus Schemes Life Assurance Private medical cover Group income protection Great Company Pension Enhanced Sick Pay Enhanced Family Leave Pay Volunteering Leave Loyalty award scheme 24/7 access to EAP including Wisdom AI app Access to Bright Exchange Online marketplace Remote working with the option to work from our Central More ❯

promoted from within their finance function and so this role could suit candidates looking to progress and develop into a more senior position as their... Job DescriptionData Scientist – Vision & Machine Learning for RoboticsLocation: Leeds (Full-Time, On-Site) Salary: Competitive, Depending on Experience About AssetCoolAt AssetCool, we develop breakthrough robotic systems to modernise energy infrastructure and accelerate the … energy... Job DescriptionData Scientist – Vision & Machine Learning for RoboticsLocation: Leeds (Full-Time, On-Site) Salary: Competitive, Depending on Experience About AssetCoolAt AssetCool, we develop breakthrough robotic systems to modernise energy infrastructure and accelerate the energy... Job DescriptionData Analyst Leeds (Hybrid – 3x Days a Week) £40,000-£50,000 THE COMPANYA leading fashion retailer is rapidly expanding both its More ❯

month (candidates must be based in the UK) About the company & role for Full Stack Engineer (Team Lead) Our client is building a dynamic digital ecosystem that fosters social learning, problem-solving, and transformative connections. Through their Platform, they empower individuals, teams, and organisations to collaborate, share knowledge, and drive meaningful impact. Committed to technology, inclusivity, and real-world … DevOps practices. Agile development experience with CI/CD pipelines, Git, and containerisation (Docker). Arabic language skills to support the platform’s bilingual capabilities. Experience with AI/ML integrations or recommendation systems. Expertise in Matrix/Synapse integration for real-time messaging and communication. Knowledge of WebSockets, real-time messaging, and event-driven architectures. Background in platform monetisation More ❯

month (candidates must be based in the UK) About the company & role for Full Stack Engineer (Team Lead): Our client is building a dynamic digital ecosystem that fosters social learning, problem-solving, and transformative connections. Through their Platform, they empower individuals, teams, and organisations to collaborate, share knowledge, and drive meaningful impact. Committed to technology, inclusivity, and real-world … DevOps practices. Agile development experience with CI/CD pipelines, Git, and containerisation (Docker). Arabic language skills to support the platform’s bilingual capabilities. Experience with AI/ML integrations or recommendation systems. Expertise in Matrix/Synapse integration for real-time messaging and communication. Knowledge of WebSockets, real-time messaging, and event-driven architectures. Background in platform monetisation More ❯

in software engineering and architecture. Strong experience with Azure, Python and infrastructure-as-code (e.g., Terraform). Proven leadership in scaling modern systems and teams. Familiarity with AI/ML pipelines. Excellent communication and stakeholder engagement skills. #J-18808-Ljbffr More ❯

in software engineering and architecture. Strong experience with Azure, Python and infrastructure-as-code (e.g., Terraform). Proven leadership in scaling modern systems and teams. Familiarity with AI/ML pipelines. Excellent communication and stakeholder engagement skills. #J-18808-Ljbffr More ❯

future of credit risk modelling and forecasting. This is a fantastic opportunity to work closely with experienced professionals and gain hands on experience in predictive modelling, loss forecasting, and machine learning, all within a growing, tech enabled financial services organisation. The Role You will be part of a small, high impact data science team responsible for: Developing predictive … models such as scorecards and machine learning models for customer acquisitions and collections Supporting loss forecasting for both new business and the existing portfolio Exploring new data sources and modelling techniques to improve performance and accuracy Working with tools like Python, T SQL, and Excel to manage data workflows and build solutions Collaborating across departments with teams in … Economics, or Physics 1 to 2 years of experience in a Financial data driven environment, or strong academic project experience Familiarity with modelling techniques like logistic regression or basic machine learning A keen interest in data science and its applications in finance or risk Strong attention to detail and a problem solving mindset A confident communicator who can More ❯

future of credit risk modelling and forecasting. This is a fantastic opportunity to work closely with experienced professionals and gain hands on experience in predictive modelling, loss forecasting, and machine learning, all within a growing, tech enabled financial services organisation. The Role You will be part of a small, high impact data science team responsible for: Developing predictive … models such as scorecards and machine learning models for customer acquisitions and collections Supporting loss forecasting for both new business and the existing portfolio Exploring new data sources and modelling techniques to improve performance and accuracy Working with tools like Python, T SQL, and Excel to manage data workflows and build solutions Collaborating across departments with teams in … Economics, or Physics 1 to 2 years of experience in a Financial data driven environment, or strong academic project experience Familiarity with modelling techniques like logistic regression or basic machine learning A keen interest in data science and its applications in finance or risk Strong attention to detail and a problem solving mindset A confident communicator who can More ❯

view to go permanent) UK – Remote Up to £65,000 We are working with an exciting scale up within the insurance space, who aim to revolutionise the industry through Machine Learning and advanced pricing strategies. They are seeking a Pricing Data Scientist to develop sophisticated pricing models, optimize predictive capabilities, and enhance automation processes. This is an excellent … for a data-driven professional eager to make a significant impact in a cutting-edge environment. As a Pricing Data Scientist, you will play a crucial role in leveraging machine learning techniques to … refine pricing strategies and improve business outcomes. You will work closely with engineers and analysts to implement scalable pricing solutions and continuously monitor performance. Key Responsibilities Develop and refine ML-driven pricing models to enhance risk assessment and profitability. Apply advanced statistical and machine learning techniques to optimize pricing accuracy. Automate and streamline pricing model deployment for continuous More ❯

Successful track record within public and private sectors. Strong background in software development, system architecture, low code/no code and emerging technologies. Experience with cloud computing, AI/ML, cybersecurity, and scalable platforms. Excellent leadership, communication, and decision-making skills. Strong understanding of agile methodologies, DevOps, and software lifecycle management. Experience in fundraising, investor relations, and technical due diligence … Discounted Gym Memberships, Virtual Gym Classes, Discounted Private Health Cover, Eye Care Discounts. Wealth Benefits: Shopping Discounts, Debt Support, Money Advice, Free Credit Reports, Travel Money Savings Education Benefits: Learning Courses, Business Skills Training *Offered only to employees based in the UK. Apply for this job Full Name * Email * Phone * Single Line Text File Upload * Click or drag a More ❯

working with an exciting Tech company who are seeking a Full Stack Data Scientist to join their Forecasting Algorithms team. The company's aim is to use cutting edge Machine Learning techniques to influence decision making in the hospitality and transportation spacce. You’ll be at the forefront of developing forecasting models, and supporting pricing strategies. This is … end-to-end—from design and testing to deployment and monitoring. Key Responsibilities Lead efforts to improve the performance and scalability of deployed forecasting models. Design and build internal ML and forecasting libraries. Contribute to product planning by translating business objectives into measurable results. Champion best practices in model development, validation, and inference pipelines. Stay current with state-of-the … art techniques in AI and ML and apply them effectively. Work closely with technical and non technical stakeholders. What You’ll Bring PhD is highly preferred! Strong experience building and implementing forecasting models using modern ML techniques. Deep understanding of time series analysis, statistics, and forecasting methodologies. Comfort working in a collaborative, cross-functional environment. Please note, this role cannot More ❯